Blog

  • Scientists put a dead cow on the seafloor, then came a surprise

    Scientists put a dead cow on the seafloor, then came a surprise

    Eight Pacific sleeper sharks showed up for dinner when researchers dropped a cow carcass to the seafloor of the South China Sea at 5,344 feet (1,629 meters) near Hainan Island.

    The visit offered a rare observation of how these deep residents feed, wait, and make room for one another.


    The species is hard to study because it ranges widely and spends much of its life in cold, dark water. Scientists struggle to track it across the North Pacific, from Japan and Alaska down to Baja California, and into a few tropical outposts.

    Why put a cow on the seafloor?

    A whale fall is what biologists call it when a dead whale sinks and turns the seafloor into a temporary buffet.

    Research teams sometimes simulate that scene to study who arrives and how energy moves through the deep. The South China Sea team followed that playbook with cameras and a carefully placed cow.

    These carcasses create waves of life that unfold in stages, starting with mobile scavengers, then opportunists, then long, slow bone feasts powered by microbes.

    The point is not the species of the carcass, it is the sudden pulse of organic matter that draws in animals from far and wide.

    The paper’s lead author is Han Tian of Sun Yat-sen University and the Southern Marine Science and Engineering Guangdong Laboratory.

    The group partnered with the Institute of Acoustics (IOA) at the Chinese Academy of Sciences and an offshore engineering team to run the operation.

    Sleeper sharks appeared unexpectedly

    The sharks attacked, waited, and circled in turn, with body size shaping tactics. Individuals longer than 2.7 meters, 8.9 feet, hit the carcass directly, while smaller sharks moved carefully and held back.

    They also queued in a rough order. “This behavior suggests that feeding priority is determined by individual competitive intensity, even in deep-water environments, reflecting a survival strategy suitable for non-solitary foraging among Pacific sleeper sharks,” explained Han Tian.

    This was the first documented presence of Pacific sleeper sharks in the South China Sea, which expands the species’ known range in a warm basin long considered outside its core distribution.

    The observation raises fair questions about how currents, food availability, or temperature structure their movements.

    Past records already nudged the map south when sightings surfaced near the Solomon Islands and Palau, almost 1,250 miles below traditional range limits. Those scattered reports hinted at flexibility that formal surveys struggle to capture.

    The pecking order at depth

    Social rules showed up in the footage even without sound or light beyond the cameras.

    Sharks yielded positions to an approaching neighbor and one animal carried a fin scar, a hint that status is negotiated with both restraint and force when necessary.

    Scavenging order is not unique to this species, and researchers have documented multi-shark meals with shifting access on other large carcasses in blue water.

    Field reports show oceanic whitetips and tiger sharks sharing a carcass with loose spacing and brief disputes, a pattern that mirrors what the cameras captured on the seafloor here.

    The video picked up a quick eye retraction movement during feeding. That makes sense for a shark lineage that lacks a nictitating membrane, the third eyelid that many other sharks deploy as a shield.

    A nictitating membrane slides across the cornea during risky moments and is common in ground sharks such as requiems and hammerheads, but not in all sharks, so animals without it rely on other defenses like rolling or retracting the eyes.

    Breath and the spiracle question

    Suspended particles were seen exiting the sharks’ spiracles, small openings behind the eye, which suggests these structures help route water when the mouth is busy with food.

    Classic lab studies show that water can be taken in through the first gill slits to keep oxygen flowing when the mouth is obstructed, a practical workaround during feeding.

    A spiracle is a modified first gill slit that, in many bottom-dwelling sharks, provides a pathway to ventilate the eye and brain while the rest of the body holds steady.

    It is reduced in some fast swimmers and more prominent in species that rest on the seafloor, which fits a slow, patient hunter like a sleeper shark.

    Parasites plague sleeper sharks

    White, elongated copepods clung to the heads of several sharks.

    Close relatives often carry eye parasites, and studies in Alaska found nearly universal infection of Pacific sleeper shark corneas by Ommatokoita elongata, with typical loads of one to two adults per infected eye.

    Those parasites can scar the cornea, which makes non-visual senses even more important in the deep.

    Other visitors wandered in and out of frame, including a snailfish and a crowd of amphipods with the occasional giant isopod.

    The community that assembles around a carcass changes hour by hour as the meal is taken apart and the energy is spread into the sediment.

    What it means for deep-sea food webs

    Eight large scavengers arriving within hours means there is a network ready to respond when food drops.

    That response plugs into a broader pattern in which carcasses feed mobile animals first, then fuel a long, microbial afterlife that supports worms and crustaceans for years.

    The South China Sea sighting adds a piece to the puzzle of where these sharks live and how they share food.

    It also shows that simple, well-designed experiments can turn a single drop into a map point, a behavior log, and a better grasp of who eats what in the dark.

    The study is published in Ocean-Land-Atmosphere Research.

    —–

    Like what you read? Subscribe to our newsletter for engaging articles, exclusive content, and the latest updates. 

    Check us out on EarthSnap, a free app brought to you by Eric Ralls and Earth.com.

    —–

    Continue Reading

  • Ong, K. Y. Whats new in the Global Initiative for Asthma 2018 report and beyond. Allergo J. Int. 28, 63–72 (2019).

    MathSciNet 

    Google Scholar 

  • Mims, J. W. (2015). Asthma: definitions and pathophysiology. In International forum of allergy & rhinology (Vol. 5, No. S1, pp. S2-S6).

  • Patadia, M. O., Murrill, L. L. & Corey, J. Asthma: symptoms and presentation. Otolaryngol. Clin. North Am. 47(1), 23–32 (2014).

    PubMed 

    Google Scholar 

  • Krishnan, J. A. et al. Asthma outcomes: symptoms. J. Allergy Clin. Immunol. 129(3), S124–S135 (2012).

    PubMed 
    PubMed Central 

    Google Scholar 

  • Tai, A. et al. Outcomes of childhood asthma to the age of 50 years. J. Allergy Clin. Immunol. 133(6), 1572–1578 (2014).

    PubMed 

    Google Scholar 

  • Douwes, J., Boezea, M., & Pearce, N. (2009). Chronic obstructive pulmonary disease and asthma. Oxford textbook of public health, Volume 3: the practice of public health, (Ed. 5), 1021-1045.

  • To, T. et al. Global asthma prevalence in adults: Findings from the cross-sectional world health survey. BMC Public Health 12(1), 1–8 (2012).

    Google Scholar 

  • Anderson, H. R. Is the prevalence of asthma changing. Arch. Dis. Child. 64(1), 172 (1989).

    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Magnus, P. & Jaakkola, J. J. Secular trend in the occurrence of asthma among children and young adults: Critical appraisal of repeated cross sectional surveys. BMJ 314(7097), 1795 (1997).

    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Mekenyan, O., Bonchev, D., Sabljic, A. & Trinajstic, N. Applications of topological indices to QSAR The use of the Balaban index and the electropy index for correlations with toxicity of ethers on mice. Acta Pharmaceutica Jugoslavica 37(1), 75–86 (1987).

    CAS 

    Google Scholar 

  • Estrada, E. & Uriarte, E. Recent advances on the role of topological indices in drug discovery research. Curr. Med. Chem. 8(13), 1573–1588 (2001).

    PubMed 
    CAS 

    Google Scholar 

  • Basak, S. C., Mills, D., Gute, B. D., Grunwald, G. D., & Balaban, A. T. (2002). Applications of topological indices in the property/bioactivity/toxicity prediction of chemicals. In Topology in Chemistry (pp. 113-184). Woodhead Publishing.

  • Pyka, A. Application of topological indices for prediction of the biological activity of selected alkoxyphenols. Acta Pol. Pharm. 59(5), 347–352 (2002).

    PubMed 
    CAS 

    Google Scholar 

  • Natarajan, R., Kamalakanan, P., & Nirdosh, I. (2003). Applications of topological indices to structure-activity relationship modelling and selection of mineral collectors.

  • Mahboob, A., Rasheed, M. W., Bayati, J. H. H., & Hanif, I. (2023). Computation of several Banhatti and Reven invariants of silicon carbides. Baghdad Science Journal, 20(3 (Suppl.)), 1099-1099.

  • Hussein Bayati, J. H., Mahboob, A., & Rasheed, M. W. (2024). On Partition Dimension and Domination of Abid-Waheed ((AW)_{r}^{s}) Graph. Baghdad Science Journal, 21(5).

  • Balasubramaniyan, D. & Chidambaram, N. On some neighbourhood degree-based topological indices with QSPR analysis of asthma drugs. Eur. Phys. J. Plus 138(9), 823 (2023).

    CAS 

    Google Scholar 

  • Arockiaraj, M., Campena, F. J. H., Greeni, A. B., Ghani, M. U., Gajavalli, S., Tchier, F., & Jan, A. Z. (2024). QSPR analysis of distance-based structural indices for drug compounds in tuberculosis treatment. Heliyon, 10(2).

  • Mahboob, A., Rasheed, M. W., Dhiaa, A. M., Hanif, I., & Amin, L. (2024). On Quantitative Structure-Property Relationship (QSPR) Analysis of Physicochemical Properties and Anti-Hepatitis Prescription Drugs Using a Linear Regression Model. Heliyon.

  • Hasani, M. & Ghods, M. Topological indices and QSPR analysis of some chemical structures applied for the treatment of heart patients. Int. J. Quantum Chem. 124(1), e27234 (2024).

    Google Scholar 

  • Kirana, B., Shanmukha, M. C., & Usha, A. (2024). A QSPR analysis and curvilinear regression for various degree-based topological indices of Quinolone antibiotics.

  • Huang, S., Xu, P. & Liu, Y. Machine learning applications for mass spectrometry-based metabolomics. Anal. Chim. Acta 914, 1–13 (2016).

    Google Scholar 

  • Cheng, F., Li, W., Liu, G. & Tang, Y. Machine learning and cheminformatics approaches for drug discovery. Chem. Rev. 112(1), 379–434 (2012).

    Google Scholar 

  • Lavecchia, A. Machine-learning approaches in drug discovery: Methods and applications. Drug Discov. Today 20(3), 318–331 (2015).

    PubMed 

    Google Scholar 

  • T. Chen and C. Guestrin, XGBoost: A scalable tree boosting system, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785-794, 2016.

  • Lo, Y.-C., Rensi, S. E., Torng, W. & Altman, R. B. Comparative analysis of machine learning algorithms for QSPR modeling of aqueous solubility. J. Chem. Inf. Model. 60(4), 1714–1723 (2020).

    Google Scholar 

  • Gutman, I., & Trinajstic, N. (1972). Graph theory and molecular orbitals. Total f-electron energy of alternant hydrocarbons. Chemical physics letters, 17(4), 535-538.

  • Xu, K. The Zagreb indices of graphs with a given clique number. Appl. Math. Lett. 24(6), 1026–1030 (2011).

    MathSciNet 
    MATH 

    Google Scholar 

  • Islam, S. R. & Pal, M. Second Zagreb index for fuzzy graphs and its application in mathematical chemistry. Iranian J. Fuzzy Syst. 20(1), 119–136 (2023).

    MathSciNet 

    Google Scholar 

  • Mahboob, A., Rasheed, M. W., Amin, L. & Hanif, I. A study of novel molecular descriptors and quantitative structure-property relationship analysis of blood cancer drugs. Eur. Phys. J. Plus 138(9), 856 (2023).

    CAS 

    Google Scholar 

  • Randic, M. Characterization of molecular branching. J. Am. Chem. Soc. 97(23), 6609–6615 (1975).

    CAS 

    Google Scholar 

  • Du, Z., Jahanbai, A. & Sheikholeslami, S. M. Relationships between Randic index and other topological indices. Commun. Combinatorics Optim. 6(1), 137–154 (2021).

    MathSciNet 
    MATH 

    Google Scholar 

  • Martinez-Martinez, C. T., Mendez-Bermudez, J. A., Rodriguez, J. M. & Sigarreta, J. M. Computational and analytical studies of the Randic index in Erdos-Renyi models. Appl. Math. Comput. 377, 125137 (2020).

    MathSciNet 
    MATH 

    Google Scholar 

  • Ediza, S. et al. A note on QSPR analysis of total Zagreb and total Randic Indices of octanes. Eurasian Chemial Commun. 3, 139–45 (2021).

    Google Scholar 

  • Shirdel, G. H., Rezapour, H., & Sayadi, A. M. (2013). The hyper-Zagreb index of graph operations.

  • Suresh, M., & Devi, G. S. (2020, November). Some operations in hyper Zagreb indices. In AIP Conference Proceedings (Vol. 2277, No. 1, p. 140003). AIP Publishing LLC.

  • Zhou, H., Mahboob, A., Rasheed, M. W., Ovais, A., Siddiqui, M. K., & Cheema, I. Z. (2023). On QSPR Analysis of Molecular Descriptor and Thermodynamic Features of Narcotic Drugs. Polycyclic Aromatic Compounds, 1-21.

  • Shanmukha, M. C., Basavarajappa, N. S., Shilpa, K. C., & Usha, A. (2020). Degree-based topological indices on anticancer drugs with QSPR analysis. Heliyon, 6(6).

  • Reti, T. On some properties of graph irregularity indices with a particular regard to the s-index. Appl. Math. Comput. 344, 107–115 (2019).

    MathSciNet 

    Google Scholar 

  • Furtula, B. & Gutman, I. A forgotten topological index. J. Math. Chem. 53(4), 1184–1190 (2015).

    MathSciNet 
    CAS 
    MATH 

    Google Scholar 

  • Mondal, S. & Das, K. C. Degree-Based Graph Entropy in StructureProperty Modeling. Entropy 25(7), 1092 (2023).

    ADS 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Kulli, V. R. The Gourava indices and coindices of graphs. Ann. Pure Appl. Math. 14(1), 33–38 (2017).

    Google Scholar 

  • Kulli, V. R. Status Gourava indices of graphs. International Journal of Recent Scientific Research, 11(1), 36770-36773.

Continue Reading

  • Effect of caloric restriction on organ size and its contribution to metabolic adaptation: an ancillary analysis of CALERIE 2

    Effect of caloric restriction on organ size and its contribution to metabolic adaptation: an ancillary analysis of CALERIE 2

    Study design and participants

    This was an NIH-funded ancillary study conducted in a subset of participants enrolled in the CALERIE 2 (NCT00427193) trial at Pennington Biomedical Research Center. CALERIE 2 was a multicenter randomized clinical trial that tested the efficacy of a 24-month intervention targeting a sustained 25% CR compared to a comparator group that ate AL13,20. The ancillary study protocol for this study was approved by the institutional review boards at Pennington Biomedical Research Center (Baton Rouge, LA) and Columbia University Irving Medical Center (New York, NY). All participants provided written, informed consent for study procedures prior to data collection, which was performed according to relevant guidelines and regulations.

    Individuals in CALERIE 2 were healthy with a body mass index (BMI) between 22.0 to less than 28.0 kg/m2 at enrollment. Males were aged between 21 and 50 years and females were aged between 21 and 47 years to minimize the effects of menopause onset during the trial. Participants were randomized with a 2:1 allocation to either the CR or AL group, with randomization stratified by sex and BMI. Details about the intervention have previously been reported13. Briefly, the CR intervention targeted an immediate and sustained 25% restriction of energy intake from baseline energy requirements as determined by doubly labeled water24,25 for the first 12 months followed by 12 months of subsequent weight maintenance. A mathematical model predicting weekly changes in body mass was used to guide adherence to the intervention and CR participants followed an intensive behavioral intervention26,27. For the ancillary study analysis, we only included individuals that were “adherent” given their assigned treatment groups; that is, individuals that showed > 5% decrease in body mass at both follow-up time points if they were in the CR group, and individuals that showed < 5% change in body mass at both time points if they were in the AL group28. This criterion resulted in exclusion of two participants and a resulting sample size of 42 participants.

    Assessments

    Demographics, anthropometric variables, measures of body composition using dual energy X-ray absorptiometry (DXA), and sleeping energy expenditure in a whole room indirect calorimeter were collected as part of the parent study.

    Demographic and anthropometric variables

    Demographic variables including age and biological sex were collected at baseline. Height was measured in duplicate at baseline without shoes to the nearest 0.5 cm using a wall-mounted stadiometer. Body mass was measured in duplicate in the morning following an overnight fast at baseline, midpoint (12 months), and end (24 months) of the trial using an electric scale (Scale Tronix 5200; Welch Allyn) with participants wearing a hospital gown and no shoes. The weight of the gown was subtracted to obtain true metabolic body mass. BMI was calculated as body mass divided by meters squared.

    Dual-energy X-ray absorptiometry for assessment of body composition

    Body composition (i.e., fat mass and fat-free mass) was assessed using DXA at baseline, 12 months, and 24 months (Hologic 4500A, Delphi W or Discovery A scanners). Scans were performed following standardized procedures for subject positioning and scan mode, and all scans were analyzed at a central reading center by blinded analysts.

    Magnetic resonance imaging for tissue and organ size

    At baseline, midpoint (month 12), and end (month 24) of the trial, whole-body MRI scans were acquired in the Biomedical Imaging Core at Pennington Biomedical using a 3.0 T Sigma Excite system (General Electric, Milwaukee, WI). MRI images were acquired from the tips of the fingers with arms stretched above the head to the bottom of the feet29,30. A 3D gradient echo sequence with a repetition time of 3.5 ms and an echo time of 1.7 ms was used for acquisition of the whole-body MRI scans using a torso phase array coil. The acquisition matrix was 380 by 192, and the slice thickness of the contiguous axial slice was 3.4 mm. For brain imaging, axial contiguous brain MRI scans were acquired using a spin echo sequence with a slice thickness of 5 mm, a repetition time of 3500 ms, and an echo time of 98 ms. Following acquisition, images were segmented for adipose tissue, skeletal muscle, brain, liver, kidneys, and residual lean tissues (i.e., bones, tendons, connective tissue, and the digestive tract) at the Image Analysis Core Laboratory of New York Obesity Nutrition Research Center by a blinded experienced MRI technician using the image analysis software SliceOmatic 5.0 (Tomovision Inc., Montreal, Canada)31. Tissue compartment volume was calculated as previously described32. The intraclass correlation coefficient for volume rendering of brain, liver, kidneys, skeletal muscle, and adipose tissue for the same scan by the same analysts at the Image Analysis Core Laboratory of New York Obesity Nutrition Research Center is 0.95–0.9929,33,34. MRI volume estimates were converted to tissue mass by using the assumed density of 1.04 kg/L for skeletal muscle, liver, and kidneys; 1.03 kg/L for brain; and 0.92 kg/L for adipose tissue29,35,36. The images could not be segmented for heart because the MRI sequences were not cardiac gated so there was no clear separation between blood and cardiac muscle. To approximate heart mass, we used a previously published equation with trunk lean mass derived from DXA23,37: heart mass (kg) = 0.012 * trunk lean mass (kg)1.0499.

    Energy expenditure assessments

    Energy expenditure was assessed in a whole room indirect calorimeter as previously described25. Participants stayed in the room for 23.25 h and were provided with three meals and one snack at scheduled intervals with the instruction to consume all their food within 30 min. Meals were tailored such that individuals met the caloric target that aligned with their treatment group assignment; that is, participants in the CR group were fed 25% calories less than their baseline energy requirements, whereas participants in the AL group were fed to maintain energy balance28. Sleeping energy expenditure was calculated from VO2 and VCO2 according to the Weir equation38 between 2 and 5 am when motion detectors in the chamber were recording no activity. We specifically decided to use sleeping energy expenditure as a robust measure of resting energy expenditure given its repeatability of over 95% across repeated measures and precision with an estimated measurement error of only ~ 2%39.

    Energy expenditure prediction

    We derived three different prediction equations for sleeping energy expenditure at baseline. Firstly, we used multiple linear regression with sex, age, and body mass. Secondly, we built a model using sex, age, and fat mass and fat-free mass derived from DXA28. Thirdly, we employed previously established18 and validated19 values for tissue-specific energy expenditure to predict sleeping energy expenditure from sex, age, and adipose tissue, skeletal muscle mass, brain mass, liver mass, kidney mass, heart mass and residual lean mass from MRI. For comparison, and because we did not have a measurement of all organs included in the previously validated equation (i.e., heart mass), we also developed our own model using MRI-measured skeletal muscle, adipose tissue mass, and the combined mass of organs and tissues available (i.e., brain, liver, kidney, spleen, and residual lean tissue), in addition to age and sex.

    Metabolic adaptation (MA)

    Predicted values for sleeping energy expenditure were generated from each linear regression equation developed at baseline (body mass, DXA and MRI) for month 12 (the midpoint) and month 24 (end of the trial) using the actual body mass and composition values at those time points. The differences in the measured and predicted energy expenditure values (termed “residuals”) while accounting for the baseline error were calculated as a measure of metabolic adaptation (also termed adaptive thermogenesis); i.e., a change in energy expenditure that was not explained by the observed changes in tissue mass.

    Statistical analysis

    The primary outcome of this analysis was to more precisely quantify MA by considering changes in organ sizes as assessed via MRI in comparison to simpler models including either fat mass and fat-free mass derived from DXA, or body mass alone. All analyses were conducted in R (version 4.3.2). Baseline participant characteristics are presented as means (standard deviation) or N (percent) for continuous or categorical variables, respectively. Changes in outcome variables from baseline were analyzed using a linear mixed model with fixed effects for time and treatment group, the interaction thereof, and a random effect for participant to account for repeated measures. Within- and between-group effect estimates alongside corresponding 95% confidence intervals as derived from the model are reported for these analyses. Residuals (i.e., the difference between measured and predicted energy expenditure values) were derived from the different prediction equations while accounting for the error at baseline. These residual values were compared against zero to determine if statistically significant metabolic adaptation occurred. This was done with linear mixed models with fixed effects for the method of prediction and time as well as the interaction thereof, and a random effect for participant. Additionally, the different prediction methods were modeled as a continuous variable representing the increase in granularity of tissue assessment, and the interaction between this slope and the treatment group were assessed using a linear mixed model. Furthermore, individuals were classified categorically as having metabolic adaptation (or not) if the residual (i.e., the unexplained decrease in SleepEE) was greater than the measurement error of SleepEE, estimated at 2%39. Finally, the magnitude of metabolic adaptation was calculated as a percentage of SleepEE at each respective time point.

    Continue Reading

  • Swiatek’s summer surge carries her back to No. 2

    Swiatek’s summer surge carries her back to No. 2

    Just two months ago, Iga Swiatek had slipped to No. 8 in the PIF WTA Rankings. She hadn’t won a title or reached a final in more than a year. Her once-iron grip on the No. 1 ranking had passed to Aryna Sabalenka, and even her hold on Roland Garros had been broken.

    Still just 24, Swiatek responded by claiming two titles for the first time in her career — Wimbledon, her sixth major crown, and Cincinnati, her first hard-court WTA 1000 title since Indian Wells a year ago.

    That No. 8 ranking already seems like a distant memory. Swiatek climbs back up one place this week to No. 2, just in time for US Open seedings — displacing Coco Gauff to No. 3.

    Paolini, Kudermetova, Krejcikova, Gracheva on the rise again

    • Jasmine Paolini, who was ranked No. 4 after winning her second WTA 1000 title in Rome this spring, had fallen to No. 9 before Cincinnati after her points from the 2024 Roland Garros and Wimbledon finals dropped off. More worryingly, she entered the tournament following back-to-back losses to players ranked outside the Top 50 — Kamilla Rakhimova at Wimbledon and, from match point up, Aoi Ito in Montreal. But the Italian responded in style, upsetting Gauff along the way to her second WTA 1000 final of the year. She moves up one spot to No. 8.
    • Former World No. 9 Veronika Kudermetova had slumped down to No. 77 last November after compiling a negative 18-25 record in 2024. But the 28-year-old has steadily worked her way back up the rankings this year — and in Cincinnati, her improved form paid off with a run to her third career WTA 1000 semifinal, and first since Rome 2023. Kudermetova’s season record is already 33-20 (25-18 in WTA main draws), and she jumps 10 places this week to No. 26. It’s the first time she’s been ranked inside the Top 30 since May 2024.
    • Two-time major champion Barbora Krejcikova missed the first six months of 2025 with a back injury, and went into Cincinnati ranked No. 80 — her lowest ranking since October 2020. But the Czech reached the last 16 after winning three matches in a single tournament for the first time since the 2024 Paris Olympic Games. She is back up 19 places to No. 61 this week.
    • Between September 2020 and June 2025, Varvara Gracheva spent all but three weeks inside the Top 100. But the Frenchwoman failed to win consecutive tour-level matches through the first half of this year, falling to No. 111 in June. A semifinal run in Eastbourne put the former No. 39 back on the right track, and last week she defeated Sofia Kenin and Karolina Muchova en route to the first WTA 1000 quarterfinal of her career in Cincinnati. Gracheva returns to the Top 100 with the largest numerical jump inside that echelon this week, climbing 20 places from No. 103 to No. 83.

    Alexandrova, Jovic, Ito, Seidel reach new career highs

    • Ekaterina Alexandrova is quietly putting together one of her most consistent seasons to date. In 2025, the 30-year-old has won the Linz title, reached semifinals in Doha, Charleston and ‘s-Hertogenbosch and made the second week of both Roland Garros and Wimbledon. Last week, she added a run to the Cincinnati fourth round and climbs two places to a new career high of No. 14.
    • Iva Jovic’s steady rise continued in Cincinnati. The 17-year-old American fell in qualifying to eventual quarterfinalist Gracheva, but entered the main draw as a lucky loser. Jovic proceeded to score her first career Top 30 win over Linda Noskova on her way to the third round, where she took Krejcikova to three sets. She rises 12 spots to No. 76 this week.
    • Aoi Ito has been a breakout player on the North American hard-court swing, with an unorthodox game and a relaxed demeanor. The Japanese 21-year-old qualified and made the third round in Montreal, then repeated the feat in Cincinnati via an upset of Anastasia Pavlyuchenkova. Ito rises another 12 places to No. 82.
    • Ella Seidel had never competed in a WTA 1000 main draw before qualifying for Cincinnati last week, and her only pair of tour-level quarterfinals had come at WTA 250 level (Budapest and Prague last year). But the 20-year-old German showed that her big-hitting game could stand up to the best as she notched her first career Top 20 win over Emma Navarro, then escaped McCartney Kessler from match point down to make the fourth round. Seidel soars 20 places to No. 105.

    Other notable rankings movements

    Sorana Cirstea, +26 to No. 112: The 35-year-old Romanian reached the fourth round of Cincinnati with wins over Donna Vekic, Magdalena Frech and Yuan Yue.

    Clervie Ngounoue, +32 to No. 179: Ngounoue qualified for Cincinnati, then defeated Hailey Baptiste to notch her first career WTA main-draw victory. The 19-year-old American rises to a new career high.

    Himeno Sakatsume, +26 to No. 201: Sakatsume, 24, won last week’s Saskatoon ITF W50 event, defeating Anca Todoni in the final.

    Teodora Kostovic, +56 to No. 265: Former junior No. 4 Kostovic captured her first ITF W75 title last week on home soil in Kursumlijska Banja. The 18-year-old Serb rockets to a new career high.

    Kayla Day, +97 to No. 419: Former No. 84 Day was sidelined for six months between October 2024 and April 2025 with an ankle surgery. She picked up the first title of her comeback at the Southaven ITF W35 two weeks ago.

    Hannah Klugman, +102 to No. 567: British 15-year-old Klugman, the current junior No. 3, reached her first professional final two weeks ago at the Roehampton ITF W35.

    Alicia Dudeney, +323 to No. 701: University of Florida alumna Dudeney, 22, won her first professional title at the Roehampton ITF W35 two weeks ago, defeating Klugman in an all-British final. She soars to a new career high.

    Continue Reading

  • Samsung Electronics Debuts Odyssey G7 Monitors, Showcasing Top Games on Its Displays at Gamescom 2025 – Samsung Newsroom

    Samsung Electronics Debuts Odyssey G7 Monitors, Showcasing Top Games on Its Displays at Gamescom 2025 – Samsung Newsroom

    1. Samsung Electronics Debuts Odyssey G7 Monitors, Showcasing Top Games on Its Displays at Gamescom 2025  Samsung Newsroom
    2. Samsung Launches World’s First 500 Hz OLED Gaming Monitor and New Odyssey G7 Lineup  TechPowerUp
    3. Samsung Cranks Out a 500Hz OLED Gaming Monitor  IGN
    4. Asus releases ROG Strix OLED XG27AQDPG globally with Samsung beating pricing  Notebookcheck
    5. Samsung’s 500Hz OLED G6 gaming monitor now widely available, significantly cheaper than the pre-order price  PC Guide

    Continue Reading

  • Review of Patient-Reported Outcomes in Melanoma Reveals Need for Validation, Standardization

    Review of Patient-Reported Outcomes in Melanoma Reveals Need for Validation, Standardization

    Artistic depiction of a melanoma cell targeted by shields, illustrating the cellular fight against skin cancer, emphasizing research and cure: © Татьяна Креминская – stock.adobe.com

    A systemic review evaluating patient-reported outcomes (PROMs) commonly used in melanoma research and clinical practice revealed high heterogeneity as 124 studies used 110 unique PROMs, with only 17 PROMs (15%) using melanoma-specific validation data, according to a study published in JAMA Dermatology.1 The study underscores the need for standardized, validated tools to ensure accurate measurement of PROMs.

    The findings illustrate the challenge to compare results across research or translate data to clinical practice. The most commonly measured outcomes included emotional and psychological well-being (25% of PROMs), health-related quality of life (19%), and self-functioning, efficacy, and coping strategies (18%).

    A total of 18 studies were identified that reported melanoma-specific validation data for these 17 PROMs, of which 14 (78%) were specifically psychometric validation studies and only 7 (41%) had a validation score of 4 or greater. Although only the Functional Assessment of Cancer Therapy-Melanoma (FACT-M) questionnaire was fully validated, other tools such as the Melanoma Concerns Questionnaire, the Supportive Care Needs Survey-Melanoma Module (SCNS-MM), and the Fear of Cancer Recurrence Inventory were partially validated.

    This lack of validation raises concerns about whether these tools accurately capture the experiences of melanoma patients, particularly in longitudinal studies where detecting meaningful changes over time is critical.

    Study Details

    A total of 30,895 abstracts were screened from 136 articles detailing 124 studies compiled from MEDLINE, Embase, Web of Science Index Medicus, CINAHL, the Cochrane Central Register of Controlled Trials, and PsychINFO databases, which totalled 32,784 patients.

    Eligible study designs included individually and cluster randomized clinical trials, quasi-experimental trials, pre-post studies (controlled and uncontrolled), intermittent time series, cohort studies, and cross-sectional studies. Meta-analyses, systematic reviews, and Cochrane reviews were also reviewed to identify any individual studies missed by the search strategy. The full cohort of studies included 52 cross-sectional studies (41%), 31 randomized clinical trials (25%), 23 longitudinal studies (19%), 8 pre-post studies (6%),6 cohort studies (5%), 1 retrospective analysis (1%), 1 phase IV trial (1%), 1 protocol (1%), and 1 quasi-experimental trial (1%).

    Ineligible studies included case series, case studies, case reports, opinion, editorial, and commentary articles, letters to the editor, and conference abstracts.

    Male and female patients of any age with any-stage cutaneous melanoma were included. Patients with other cancer types were only included if outcomes were reported separately for patients affected by melanoma. Patients with ocular melanoma, mucosal melanoma, or patients at high for melanoma but who were not diagnosed were excluded.

    Clinical Implications

    The investigators identified a number of implications after conducting this review. Unvalidated tools may lead to measurement errors, misinforming treatment decisions or support strategies. The high heterogeneity makes study comparisons difficult and hinders efforts to consolidate the available evidence for meta-analysis.

    As a result, it poses a challenge for clinical practice guidelines to recommend appropriate PROMs for a specific outcome in routine practice. The investigators recommend that PROMs that are validated for use in melanoma populations should be prioritized in future research.

    Further, 85% of the identified PROMs did not have melanoma-specific validation data available. The review emphasizes the importance of core outcome tests and recommends using validated melanoma-specific PROMs where available. For example, to measure health-related quality of life, the FACT-M or Melanoma Concerns Questionnaire are suggested. For assessing unmet needs, the SCNS-MM is recommended, whereas the Fear of Cancer Recurrence Questionnaire-7 item is highlighted for evaluating recurrence anxiety.

    The investigators concluded that although PROMs are important for capturing patients perspectives in their care, variability and lack of validation lack their utility. For now community oncologists should critically evaluate the PROMs they use, favoring melanoma-specific validated tools where available.

    REFERENCE:
    Thompson JR, McCutcheon TB, Martin LK, Saw RPM, Bartula I, Boyle F. Patient-Reported Outcome Measures and Validation Data Used in Melanoma Research and Routine Practice: A Systematic Review. JAMA Dermatol. Published online July 30, 2025. doi:10.1001/jamadermatol.2025.2287

    Continue Reading

  • Canadian Women’s Open 2025: schedule, field, and how to watch – olympics.com

    Canadian Women’s Open 2025: schedule, field, and how to watch – olympics.com

    1. Canadian Women’s Open 2025: schedule, field, and how to watch  olympics.com
    2. How to Watch the 2025 CPKC Women’s Open  LPGA
    3. What has been giving Henderson the most trouble this year?  TSN
    4. Maria Fassi, Ruihan Kendria Wang, Celina Yeo and Joline Truong earn final four spots into 2025 CPKC Women’s Open  Golf Canada
    5. Top pros in Canada and the world will tee off next week in Mississauga  INsauga

    Continue Reading

  • A first look at the Instinct’s latest rival

    A first look at the Instinct’s latest rival

    Coros has today unveiled its latest GPS watch, the Nomad, billed as ‘a watch purpose-built for outdoor adventures’ – and it looks set to rival the likes of Garmin’s Instinct 3.

    Despite being a relative newcomer, Coros has caused quite the stir in the fitness wearables market over the past six years, thanks to its ability to cram a lot of tools, tracking capability and battery life into often comparatively cheap running watches.

    At £319, the Coros Nomad joins the brand’s line-up as a more affordable offering to the Vertix 2S (£599) and Apex 2 (£349), with more of an adventure-first, rugged design than the Coros Pace Pro (£349).

    What everyone’s reading

    Key features include dual-frequency GPS, a variety of outdoor sports modes, real-time weather and safety alerts and topographic maps – a key feature that’s lacking from Garmin’s Instinct. That said, you’re trading Garmin’s bright, AMOLED display for a MIP one with the Nomad.

    Coros

    The watch itself has a dual-layer aluminium and polymer bezel and a hardened mineral glass screen. It’s also water resistant up to 50m and available in three colourways: green, brown and dark grey.


    Coros Nomad – key specifications

    • Screen size/type: 1.3 inches, 3rd Generation Memory-in-Pixel touch screen
    • Weight: 41.5g/61g with silicone band/49g with nylon band
    • Battery life: 50 hours (All-Systems), 34 hours (Dual-Frequency), 22 days (Daily Use)

    Battery life is billed as lasting up to 50 hours in All-Systems GPS mode and up to 22 days in standard use.

    When it comes to training features, there seems to be plenty on offer here: Coros’ Running Fitness Test, Training Load, Training Load Recommendation, Recovery Timer, Effort Pace, Resting Heart Rate and more. The Nomad also comes with sleep monitoring, all-day stress monitoring, notifications and safety alerts. Plus, it’s compatible with a range of third party apps.

    a man speaking into his gps watch

    Coros

    The Nomad features Coros’ new Adventure Journalling tool.

    For runners, there are four sports modes to choose from: Run, Indoor Run, Trail Run and Track Run. There are also Hike and Walk modes, various cycling, climbing, water and snow sports modes, aerobics modes like Yoga, Stair Climb and Indoor Cardio and triathlon.

    Finally, the Nomad introduces Coros’ new Adventure Journaling tool, which enables users to use voice commands, tag locations, add photos and transcribe voice-to-text memos within an activity – sort of like a digital journal or scrapbook. It’s certainly a unique feature that we haven’t seen on any other GPS watch and, once our test sample arrives at Runner’s World HQ, we’ll certainly be putting it through its paces.

    Continue Reading

  • Prenatal Exposure to Pesticide Linked to Brain Abnormalities

    Prenatal Exposure to Pesticide Linked to Brain Abnormalities

    Higher prenatalexposure to a common pesticide, chlorpyrifos (CPF), was associated with a greater likelihood of brain abnormalities and poorer motor function among children aged 6 to almost 15 years in a prospective, longitudinal study.

    MRIs revealed widespread brain changes, including thicker frontal, temporal, and posterior inferior cortices; reduced white matter volumes; and lower diffusivity of internal capsule white matter.

    Researchers also observed that prenatal CPF exposure levels were linked to lower indices of neuronal density in white matter tracts and lower performance on fine motor and motor programming tasks.

    Previous preclinical and clinical studies supported the neurotoxicity of CPF, but this is the first research to look at specific brain changes in people.

    “These are very strong associations such that progressively higher levels of exposure are associated with progressively greater disruptions in development of brain structure and metabolism, as well as greater disruptions in motor control,” lead author Bradley S. Peterson, MD, division chief of psychiatry and behavioral sciences at Children’s Hospital Los Angeles, Los Angeles, told Medscape Medical News.

    The study was published online on August 18 in JAMA Neurology.

    Measuring an Enduring Effect

    CPF is a chlorinated organophosphate and one of the most common pesticides used globally. It enters the bloodstream through ingestion or skin contact or after breathing it in.

    In pregnant women, the pesticide crosses the placenta, enters the fetal bloodstream, reaches concentrations up to four times higher than those in the mother’s circulation, and crosses the fetal blood-brain barrier.

    “Pregnancy is an exquisitely sensitive period of brain development that is vulnerable to environmental exposures, including CPF,” Peterson said. “Protecting unborn children by advocating for restrictions on pesticide use and by educating prospective parents on measures to reduce exposure is essential.”

    From January 1998 to July 2006, investigators recruited 727 pregnant African American or Dominican women living in northern New York City. Between 2007 and 2015, MRI scans were performed on 332 of their children aged 6-14.7 years.

    Researchers compared MRI findings to CPF levels in umbilical cord or maternal blood, analyzing data between February 2018 and November 2024 on a final cohort of 270 children (median age, 10.38 years).

    Maternal exposure to CPF in participants was primarily from spraying indoors for pests, which was prevalent in this inner-city neighborhood before residential use was banned in 2001, the authors noted.

    Widespread Brain Changes

    Peterson said a surprising study outcome was “how strong and widespread across the brain these associations were” spanning measures of cortical thickness, white matter myelination, neuronal density, and metabolism.

    On an MRI, for example, CPF exposure was associated significantly and positively with cortical thickness in frontal regions, including the superior, middle, and inferior frontal gyrus; the anterior cingulate cortex; gyrus rectus; and the middle orbitofrontal and lateral orbitofrontal gyrus.

    The same associations were seen in temporal brain regions, including the superior, middle, and inferior temporal gyrus, and the parahippocampus. Posteroinferior regions altered the same way, including the posterior cingulate cortex, cuneus, and the inferior occipital, lingual, and fusiform gyrus.

    In contrast, CPF levels were associated with lower cortical thickness in the dorsal parietal region, specifically the superior parietal gyrus, and with lower white matter volumes in multiple frontal, temporal, and posteroinferior regions.

    In addition to the anatomic MRI findings, magnetic resonance spectroscopic imaging showed that CPF exposure associated inversely with N-acetyl-L-aspartate, which reflects neuron density, in scattered foci within deep white matter tracts and in gray matter of the insular cortex.

    Diffusion tensor imaging also positively linked CPF exposure to fractional anisotropy and inversely with average diffusion coefficient values in the internal capsule. Furthermore, arterial spin labeling revealed higher CPF exposure was associated with a lower regional cerebral blood flow.

    “In this cohort study, progressively higher prenatal CPF exposure levels associated significantly with progressively greater alterations in brain measures in each MRI modality, suggesting that prenatal exposure may produce enduring disturbances in brain structure, function, and metabolism in direct proportion to exposure level,” investigators wrote.

    Inflammation and Oxidative Stress Likely Culprits

    Another unexpected result for Peterson was how similar the CPF findings were to those linked to other prenatal exposures, including air pollution, despite being extremely different chemicals.

    This suggests a common pathway for disrupting brain development, “most likely by producing inflammation and oxidative stress in the brain, which are toxic to brain cells early in development,” he said.

    Asked about treating children already affected by CPF, Peterson replied, “Unfortunately, we don’t know yet of ways to help children who are already exposed. The only ways we know currently to mitigate risk to unborn children is to minimize exposures.”

    He added, “Perhaps in the future, novel therapeutics may reduce inflammation and oxidative stress from CPF and other pesticide exposures and thereby attenuate their adverse effects on brain development.”

    Use Remains Controversial

    CPF is “ubiquitous” on nonorganic fruit, vegetables, and grains, added Peterson, who is also vice chair for research and chief of the Division of Child and Adolescent Psychiatry at the Keck School of Medicine of USC in Los Angeles. The pesticide is also carried by outdoor air and is often used in agriculture.

    “Farm families are at particularly high risk because pregnant women not only work in the fields but also live in nearby communities, where pesticide drift is common,” said senior investigator Virginia A. Rauh, ScD, the Jane and Alan Batkin Professor of Population and Family Health at Columbia Mailman School of Public Health in New York City.

    “This is an area where public health policy changes would have a significant impact,” she added.

    There are federal and state restrictions. In August 2021, the US Environmental Protection Agency (EPA) removed all “tolerances” or acceptable levels of CPF on food. Several agricultural groups challenged the action, and in December 2023, a US Circuit Court vacated the earlier EPA decision.

    The agency is now considering a final rule that would restrict exposures for farm workers and vulnerable populations and set limits for the pesticide on 11 specific crops: alfalfa, apple, asparagus, tart cherry, citrus, cotton, peach, soybean, strawberry, sugar beet, and spring and winter wheat.

    State laws on CPF use vary. “Surprisingly,” Rauh said, “CPF is banned in only five states: California, Hawaii, New York, Maryland, and Oregon.”

    The National Institute of Environmental Health Sciences, the EPA STAR program, the National Institute of Mental Health, and the John and Wendy Neu Family Foundation supported the research. The study was also supported by an anonymous donor, Patrice and Mike Harmon, the Inspirit Fund, and the Robert Coury family. Peterson, Rauh, and Thompson reported no relevant financial relationships.

    Continue Reading

  • After NA, Senate also gives nod to Anti-Terrorism Act amendments amid opposition’s uproar – Pakistan

    After NA, Senate also gives nod to Anti-Terrorism Act amendments amid opposition’s uproar – Pakistan

    After the National Assembly, the Senate on Tuesday also passed an amendment to the Anti-Terrorism Act (ATA), 1997, which reinserted powers granted to law enforcement authorities (LEAs) and the armed forces to detain individuals for up to three months, amid the opposition’s uproar.

    Last week, National Assembly had passed the amendment to the ATA.

    Minister of State for Interior and Narcotics Control Muhammad Tallal Badar moved the Anti-terrorism Amendment Bill 2025 to amend the ATA in the House, according to the Associated Press of Pakistan.

    A copy of the bill, available with Dawn.com read: “The government or, where the provisions of section 4 have been invoked, the armed forces or civil armed forces, as the case maybe, subject to the specific or general order of the government in this
    regard, for a period not exceeding three months and after recording
    reasons thereof, issue order for the preventative detention of any person.”

    This amendment was made to sub-section (1) of Section 11EEEE of the ATA.

    Any person suspected of activities against national security or safety will be detained, according to the bill, adding that persons involved in target killing, kidnapping for ransom, extortion can be detained for three months.

    The bill also added that it applies “against whom sufficient grounds exist of his having been so concerned, for purpose of inquiry”.

    The bill available stated that the detention of a person arrested under Section 11EEEE, including detention exceeding three months, would be subject to the provisions of Article 10 (safeguards as to arrest and detention) of the Constitution.

    If a detention order is issued by the army or civil forces, the investigation will be conducted by a joint investigation team, according to the bill.

    “The inquiry will be conducted by no police officer below the rank of of Superintendent of Police, Intelligence agencies, civil armed forces, armed forces, and other law enforcing agencies,” the bill added.

    JUI-F Senator Kamran Murtaza moved certain amendments to the bill but the House rejected them with majority of votes, APP added.

    The house passed the bill through clause by clause reading.

    The statement of objects and reasons of the bill said that the current security situation requires a robust response that goes beyond the existing legal framework.

    “The erstwhile amendment of Section 11EEEE of the Act ibid are required to re-inserted to empower the government, Armed Forces and Civil Armed Forces with the necessary authority to detain individuals who pose a significant threat to national security,” it added.

    This provision would allow for the preventive detention of suspects based on credible information or reasonable suspicion, thereby disrupting terrorist plots before they can be executed.

    This will also provide law enforcement enforcement agencies with the legal backing to conduct more effective operations against terrorism. It would facilitate the use of joint interrogation teams (JITs), composed of members from various law enforcement and intelligence agencies to conduct comprehensive inquiries and gather actionable intelligence.

    Earlier, responding to various points raised by lawmakers in the Senate, Law Minister Azam Nazeer Tarar said: “Currently the country is facing menace of terrorism and amendments proposed by Syed Naveed Qamar have already been incorporated to make it more effective.”

    The bill has also already passed judicial scrutiny tests, he said adding that that a three years sun-set clause has also been added in it.

    Tarar said that under Clause 2 of the amendment, the detainee would have presented before the Magistrate within 24 hours.

    Barrister Syed Ali Zafar of PTI said that they were also against the menace of terrorism and wanted to curb it. However, he continued that “some of its clauses are against the law and constitution so the bill should be referred to the committee”.

    Speaking on the occasion, PML-N Senator Irfanul Haque Siddiqui emphasised that no leniency should be shown toward terrorism.

    “We do not want terrorists roaming freely while innocent people are slaughtered in different provinces, on passenger trains like the Jaffar Express, or in targeted attacks. These acts weaken our federation and create mistrust between the people and the state,” he observed.

    Siddiqui urged lawmakers to view anti-terrorism legislation in its proper spirit as we have lost nearly 100,000 lives to the menace of terrorism. “We must either surrender to militants or legislate to resist them. Such laws can prevent crime and also curb forced disappearances and arbitrary detentions,” he said.

    Senator Siddiqui urged all parties to take anti-terrorism legislation in good faith rather than perceiving it as a tool against political opponents.

    He said that the government and opposition must ensure transparent communication with the public and media regarding legislative measures, according to APP.

    PPP’s Senator Sherry Rehman in her speech said that her party has not passed the bill without an “extensive review” of all the clauses.

    “Our legislative committee noted that it was the same bill all parties had passed through a multi-parties conference after the Army Public School attack. It was in effect for two years,” she noted.

    She continued that preventive detention is not a matter to be taken lightly.

    “Many of us have personally experienced cases of missing persons.

    “I request our law minister to clarify, for the civil society and opposition alike — including in press conferences — the definitions within this law and how they will be applied,” she added.

    Section 11EEEE of the ATA was amended in 2014, providing the government and authorised armed forces and civil armed forces with the authority to conduct preventive detention of individuals suspected of involvement in terrorism-related activities. However, this amendment was subject to a sunset clause, limiting its validity to two years, which expired in 2016.

    In November 2024, the government quietly introduced the bill in the NA, seeking to grant military and civil armed forces the authority to keep individuals facing terrorism charges in ‘preventive’ detention for up to three months.

    The Human Rights Commission of Pakistan (HRCP) had also expressed concern over the passage.

    Continue Reading