We, the leaders of the Hashemite Kingdom of Jordan (hereinafter Jordan) and the European Union, held our first EU-Jordan Summit in Amman, Jordan on 8 January 2026 and concluded the following:
1. Today’s Summit marks an important milestone in…
Author: admin
-
Hyundai Motor Group leverages Group capabilities to lead the AI Robotics industry
Hyundai Motor Group’s integrated AI Robotics value chain
Hyundai Motor Group’s manufacturing facilities are helping to develop reliable robots that are tested and trained internally. Thanks to various capabilities within the Group, we can supply parts, mass-produce robots, and provide one-stop robotics-as-a-Service (RaaS). Working with affiliates like Boston Dynamics, the Group is expanding its mass-production expertise from automotive to robotics, increasing overall value for customers.Each of HMG’s group affiliates plays a crucial role in development and testing by bringing its own expertise:
– Hyundai Motor Company and Kia provide manufacturing infrastructure, process control and large-scale production data.
– Hyundai Mobis works closely with Boston Dynamics to develop high-performance actuators, standardizing key components and optimizing designs for manufacturability.
– Hyundai Glovis optimizes logistics and supply chain management.By integrating all these areas of expertise, we can offer ongoing customer support after deployment, including regular software updates, hardware maintenance, repairs, and remote monitoring and control. These services enable us to oversee the process from start to finish, helping to bring AI Robotics solutions to market.
Continue Reading
-
Driver who killed motorcyclist in Huyton collision is jaied after lying about health – merseyside.police.uk
- Driver who killed motorcyclist in Huyton collision is jaied after lying about health merseyside.police.uk
- He killed a man but their web of lies unravelled when he went shopping at Aldi Liverpool Echo
- Couple spun web of lies to shield driver from…
Continue Reading
-
PM vows to eliminate terrorism, announces development in Balochistan
Prime Minister Shehbaz Sharif on Thursday met political leaders in Quetta, reaffirming the federal government’s commitment to defeating terrorism and accelerating development across Balochistan.
Addressing the…
Continue Reading
-
Dual pathways found for centromere specification, ensuring accurate chromosome segregation
Despite the immense amount of genetic material present in each cell, around three billion base pairs in humans, this material needs to be accurately divided in two and allocated in equal quantities. The centromere,…
Continue Reading
-
Grok produces sexualized photos of women and minors for users on X – a legal scholar explains why it’s happening and what can be done – The Conversation
- Grok produces sexualized photos of women and minors for users on X – a legal scholar explains why it’s happening and what can be done The Conversation
- France to investigate deepfakes of women stripped naked by Grok politico.eu
- IWF finds…
Continue Reading
-
Strategic advances for cryo-EM structural studies of small (
Sriram, K. & Insel, P. A. G protein-coupled receptors as targets for approved drugs: how many targets and how many drugs? Mol. Pharmacol. 93, 251–258 (2018).
Arinaminpathy, Y., Khurana, E.,…
Continue Reading
-
CYP Now – Campaigners hail new kinship legal duty on councils
The duty would require councils to engage directly with those affected before the kinship local offer is published, strengthening expectations that had previously been set out only in statutory…
Continue Reading
-
The Daily — Canadian international merchandise trade, October 2025
Released: 2026-01-08
Imports of goods$66.2 billion
October 2025
3.4%
(monthly change)
Exports of goods$65.6 billion
October 2025
2.1%
(monthly change)
Goods trade balance-$583 million
October 2025
In October, Canada’s merchandise imports increased 3.4%, while exports were up 2.1%. As a result, Canada’s merchandise trade balance with the world went from a small surplus of $243 million in September to a deficit of $583 million in October.
Consult the “International trade monthly interactive dashboard” to explore the most recent results of Canada’s international trade in an interactive format.
Chart 1
Merchandise exports and imports
Imports rebound in October
After falling 4.3% in September, total imports rose 3.4% in October. Overall, gains were observed in 8 of the 11 product sections. In real (or volume) terms, total imports were up 2.6% in October.
Chart 2
Contribution to the monthly change in imports, by product, October 2025
Imports of electronic and electrical equipment and parts were up 10.2% in October, with all product groups increasing. Imports of computers and computer peripherals (+32.2%) rose the most to reach a record high in October, mainly because of higher imports of processing units from Ireland. Imports of communication, and audio and video equipment (+5.1%) also contributed to the gain, mainly on stronger imports of smartphones from China and the United States.
Chart 3
Imports of electronic and electrical equipment and parts
Following a large decrease of 27.9% in September, imports of metal and non-metallic mineral products were up 9.5% in October. This was largely attributable to an increase in imports of unwrought gold, silver, and platinum group metals, and their alloys (+55.3%). While imports of unwrought gold have been behind the volatility within this product group in 2025, higher imports of unwrought platinum and silver bullion from the United States were behind the growth in October.
Imports of industrial machinery, equipment and parts were up 5.7% in October. Significant contributors to the increase in the month were imports of other general-purpose machinery and equipment (+5.6%), logging, construction, mining and oil and gas field machinery and equipment (+14.7%) and parts of industrial machinery and equipment (+7.1%).
The increase in total imports in October was partly offset by a 7.5% decrease in imports of basic and industrial chemical, plastic and rubber products, which reached their lowest level since July 2023. Imports of basic chemicals (-23.5%) were down the most in October 2025, mainly on lower imports of active pharmaceutical ingredients that are used in the production of medicaments. Imports of lubricants and other petroleum refinery products (-17.6%) also declined in October, mostly because of lower imports of crude oil diluents from the United States.
Another strong month for exports of gold
Following a sharp increase of 6.7% in September, total exports rose 2.1% in October. Despite the overall increase, exports in 6 of the 11 product sections decreased in October. As was the case in September, exports of unwrought gold, silver, and platinum group metals, and their alloys increased the most in October. Excluding exports of this product group, total exports were down 2.5%. Higher prices also contributed to the monthly increase in total exports; in real (or volume) terms, total exports were down 0.4%.
Chart 4
Contribution to the monthly change in exports, by product, October 2025
Following a strong increase of 25.0% in September, exports of metal and non-metallic mineral products (+27.3%) rose sharply again in October and reached another record high. Exports of unwrought gold, silver, and platinum group metals, and their alloys—a category largely composed of unwrought gold—led the increase (+47.4%), driven by a rise in gold exports to the United Kingdom. When compared with the same month in 2024, exports of this product group have more than doubled. Higher gold prices have largely been behind this recent growth, but volumes were also up, increasing by nearly 40% in October 2025 on a year-over-year basis.
Chart 5
Exports of unwrought gold, silver, and platinum group metals, and their alloys
Exports of motor vehicles and parts rose 4.1% in October with all subcategories posting increases. Higher exports of passenger cars and light trucks (+3.2%) and medium and heavy trucks, buses, and other motor vehicles (+24.7%) contributed the most to the gain in October. For medium and heavy trucks, buses, and other motor vehicles, this increase coincided with the announcement of new import tariffs by the United States, which came into effect on November 1, 2025.
Moderating the increases in October were lower exports of energy products (-8.4%). This was mainly the result of lower exports of crude oil and bitumen (-13.5%), which were down both on lower volumes and prices. The decrease in volumes coincided with refinery shutdowns in the United States in October, while prices declined amid global oversupply.
Chart 6
Exports of crude oil and bitumen
Surplus with the United States narrows significantly
Following three consecutive monthly declines, imports from the United States increased 5.3% in October. Meanwhile, exports to the United States were down 3.4%, partly because of lower exports of aircraft and unwrought gold. Exports to the United States were down 4.1% in the first 10 months of 2025 compared with the same period in 2024. Canada’s trade surplus with the United States narrowed from $8.4 billion in September to $4.8 billion in October.
Chart 7
Merchandise trade with the United States
Gold lifts exports to countries other than the United States
Following an increase of 11.8% in September, exports to countries other than the United States rose 15.6% to reach a record high in October. Higher exports to the United Kingdom (gold) and China (crude oil) contributed the most to this growth. Meanwhile, imports from countries other than the United States edged up 0.6% in October. Higher imports from China (smartphones) and Peru (gold) were partially offset by lower imports from Belgium (pharmaceutical products) and Australia (mineral products). Canada’s trade deficit with countries other than the United States narrowed from $8.1 billion in September to $5.4 billion in October. This was the lowest deficit since January 2021.
Chart 8
Merchandise trade with countries other than the United States
Chart 9
International merchandise trade balance
Revisions to September merchandise export and import data
Imports in September, originally reported at $64.1 billion in the previous release, were revised to $64.0 billion in the current reference month’s release. Exports in September, originally reported at $64.2 billion in the previous release, were revised to $64.3 billion in the current reference month’s release.
Monthly trade in services
In October, monthly service exports decreased 0.4% to $20.1 billion. Meanwhile, imports of services were down 1.2% to $19.6 billion.
When international trade in goods and services are combined, exports rose 1.5% to $85.7 billion in October, while imports increased 2.3% to $85.7 billion. Canada’s total trade balance with the world went from a surplus of $607 million in September to a small deficit of $59 million in October.
Note to readers
New publication dates for Canadian international merchandise trade statistics
As a result of the recent US government shutdown, Statistics Canada has announced new release dates for Canadian International Merchandise Trade statistics, with several months affected.
Statistics for the November 2025 reference month are now scheduled to be published on January 29, 2026.
Tentative dates have been identified for the December 2025 reference month (February 19, 2026) and for the January 2026 reference month (March 12, 2026). These dates remain subject to change. Statistics Canada will communicate any updates to release dates should changes be necessary. Following these releases, it is expected that the publication of monthly international trade statistics will return to the originally planned release schedule.
Concepts and methods
Information on concepts and methods used for the monthly release of Canada’s international merchandise trade is now available online. Please see “Notes on the monthly release of Canadian international merchandise trade” for more details.
For a detailed overview of the Canadian International Merchandise Trade program, please see “Reference Guide to Canadian International Merchandise Trade Statistics.”
Real-time data table
The real-time data table 12-10-0165-01 will be updated on January 19.
Next release
Data on Canadian international merchandise trade for November 2025 will be released on January 29, 2026.
Products
The International trade statistics portal is now available on the Statistics Canada website.
The product “International trade monthly interactive dashboard” (71-607-X) is now available. This interactive dashboard is a comprehensive analytical tool that presents monthly changes in Canada’s international merchandise trade data on a balance-of-payments basis, fully supporting the information presented every month in the Daily release.
The product “The International Trade Explorer” (71-607-X) is now available online.
The updated “Canada and the World Statistics Hub” (13-609-X) is available online. This product illustrates the nature and extent of Canada’s economic and financial relationship with the world using interactive charts and tables. It provides easy access to information on trade, investment, employment and travel between Canada and a number of countries, including the United States, Mexico, China, Japan, Belgium, Italy, the Netherlands and Spain.
The product “Canada’s international trade and investment country fact sheet” (71-607-X) is also available.
The online Canadian International Merchandise Trade Database is no longer available. It has been replaced by the Canadian International Merchandise Trade Web Application (71-607-X), a modern tool that provides trade data users with a number of enhancements.
Contact information
For more information, or to enquire about the concepts, methods or data quality of this release, contact us (toll-free 1-800-263-1136; 514-283-8300; infostats@statcan.gc.ca) or Media Relations (statcan.mediahotline-ligneinfomedias.statcan@statcan.gc.ca).
Continue Reading
-
scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning
Gambardella, G. et al. A single-cell analysis of breast cancer cell lines to study tumour heterogeneity and drug response. Nat. Commun. 13, 1714 (2022).
Grün, D. & van Oudenaarden, A. Design and analysis of single-cell sequencing experiments. Cell 163, 799–810 (2015).
Mohammadi, S., Davila-Velderrain, J. & Kellis, M. A multiresolution framework to characterize single-cell state landscapes. Nat. Commun. 11, 5399 (2020).
Lawson, D. A. et al. Tumour heterogeneity and metastasis at single-cell resolution. Nat. Cell Biol. 20, 1349–1360 (2018).
Aissa, A. F. et al. Single-cell transcriptional changes associated with drug tolerance and response to combination therapies in cancer. Nat. Commun. 12, 1628 (2021).
França, G. S. et al. Cellular adaptation to cancer therapy along a resistance continuum. Nature 631, 876–883 (2024).
Yan, Y. et al. Multi-omic profiling highlights factors associated with resistance to immuno-chemotherapy in non-small-cell lung cancer. Nat. Genet 57, 126–139 (2025).
Wu, Z. et al. Single-cell techniques and deep learning in predicting drug response. Trends Pharm. Sci. 41, 1050–1065 (2020).
Zhang, P. et al. A deep learning framework for in silico screening of anticancer drugs at the single-cell level. Natl. Sci. Rev. 12, nwae451 (2025).
Suphavilai, C. et al. Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures. Genome Med 13, 189 (2021).
Fustero-Torre, C. et al. Beyondcell: Targeting cancer therapeutic heterogeneity in single-cell RNA-seq data. Genome Med 13, 187 (2021).
Pellecchia, S. et al. Predicting drug response from single-cell expression profiles of tumours. BMC Med 21, 476 (2023).
Chen, J. et al. Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data. Nat. Commun. 13, 6494 (2022).
Zheng, Z. et al. Enabling single-cell drug response annotations from bulk RNA-seq using SCAD. Adv. Sci. 10, e2204113 (2023).
Ziegenhain, C. et al. Comparative analysis of single-cell RNA sequencing methods. Mol. Cell 65, 631–643.e634 (2017).
Shin, D. et al. Multiplexed single-cell RNA-seq via transient barcoding for simultaneous expression profiling of various drug perturbations. Sci. Adv. 5, eaav2249 (2019).
Li, J. et al. Higher-order attribute-enhancing heterogeneous graph neural networks. Ieee Trans. Knowl. Data Eng. 35, 560–574 (2023).
Sharma, A. et al. Longitudinal single-cell RNA sequencing of patient-derived primary cells reveals drug-induced infidelity in stem cell hierarchy. Nat. Commun. 9, 4931 (2018).
Ho, Y. J. et al. Single-cell RNA-seq analysis identifies markers of resistance to targeted BRAF inhibitors in melanoma cell populations. Genome Res 28, 1353–1363 (2018).
Chi, F. et al. A ‘one-two punch’ therapy strategy to target chemoresistance in estrogen receptor positive breast cancer. Transl. Oncol. 14, 100946 (2021).
Kim, Y. S. et al. Single-cell RNA sequencing reveals the existence of pro-metastatic subpopulation within a parental b16 murine melanoma cell line. Biochem Biophys. Res Commun. 613, 120–126 (2022).
Rappaport, N. et al. Malacards: An amalgamated human disease compendium with diverse clinical and genetic annotation and structured search. Nucleic Acids Res 45, D877–D887 (2017).
Slamon, D. J. et al. Phase III randomized study of ribociclib and fulvestrant in hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer: Monaleesa-3. J. Clin. Oncol. 36, 2465–2472 (2018).
Rae J. M., Lippman M. E. The role of estrogen receptor signaling in suppressing the immune response to cancer comment. J. Clin. Investig. 131, e155476 (2021).
Carrara, G. F. A. et al. Analysis of RPL37A, MTSS1, and HTRA1 expression as potential markers for pathologic complete response and survival. Breast Cancer 28, 307–320 (2021).
Hoof, T., Fislage, R. & Tummler, B. Primary sequence of the human ribosomal-protein L37a. Nucleic Acids Res 20, 5475–5475 (1992).
Kinker, G. S. et al. Pan-cancer single-cell RNA-seq identifies recurring programs of cellular heterogeneity. Nat. Genet 52, 1208–1220 (2020).
Galanski, M. Recent developments in the field of anticancer platinum complexes. Recent Pat. Anti-Cancer Drug Discov. 1, 285–295 (2006).
Mossé, Y. P. et al. Safety and activity of crizotinib for paediatric patients with refractory solid tumours or anaplastic large-cell lymphoma: A children’s oncology group phase 1 consortium study. Lancet Oncol. 14, 472–480 (2013).
Wee P. & Wang Z. Epidermal growth factor receptor cell proliferation signaling pathways. Cancers 9, 52 (2017).
Davies, C. et al. Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: Patient-level meta-analysis of randomised trials. Lancet 378, 771–784 (2011).
Planchard, D. et al. Dabrafenib plus Trametinib in patients with previously untreated BRAF(V600E)-mutant metastatic non-small-cell lung cancer: An open-label, phase 2 trial. Lancet Oncol. 18, 1307–1316 (2017).
Cheng, S. et al. Chemotherapy for relapsed small cell lung cancer: A systematic review and practice guideline. J. Thorac. Oncol. 2, 348–354 (2007).
Tesauro, C. et al. Topoisomerase i activity and sensitivity to camptothecin in breast cancer-derived cells: A comparative study. BMC Cancer 19, 1158 (2019).
Weitzman, J. B. et al. Jund protects cells from p53-dependent senescence and apoptosis. Mol. Cell 6, 1109–1119 (2000).
Polanski, R. et al. Senescence induction in renal carcinoma cells by nutlin-3: A potential therapeutic strategy based on mdm2 antagonism. Cancer Lett. 353, 211–219 (2014).
Zeng, S. X. et al. The phosphatidylinositol 3-kinase pathway as a potential therapeutic target in bladder cancer. Clin. Cancer Res 23, 6580–6591 (2017).
Abraham, A. G. & O’Neill, E. Pi3k/akt-mediated regulation of p53 in cancer. Biochem Soc. Trans. 42, 798–803 (2014).
Leo, C. P., Leo, C. & Szucs, T. D. Breast cancer drug approvals by the us fda from 1949 to 2018. Nat. Rev. Drug Discov. 19, 11 (2020).
Asiimwe, I. G. & Rumona, D. Publication proportions for registered breast cancer trials: Before and following the introduction of the clinicaltrials.Gov results database. Res. Integr. peer Rev. 1, 10–20 (2016).
Pujade-Lauraine, E. et al. Pegylated liposomal doxorubicin and carboplatin compared with paclitaxel and carboplatin for patients with platinum-sensitive ovarian cancer in late relapse. J. Clin. Oncol. 28, 3323–3329 (2010).
Hoa Thi Nhu T. et al. A benchmark of batch-effect correction methods for single-cell RNA sequencing data. Genome Biol. 21, 12 (2020).
Zhang, F. et al. A novel heterogeneous network-based method for drug response prediction in cancer cell lines. Sci. Rep. 8, 3355 (2018).
Güvenç Paltun, B., Mamitsuka, H. & Kaski, S. Improving drug response prediction by integrating multiple data sources: Matrix factorization, kernel and network-based approaches. Brief. Bioinform 22, 346–359 (2021).
Sun, C. et al. Reversible and adaptive resistance to BRAF(v600e) inhibition in melanoma. Nature 508, 118–128 (2014).
Ma, J. et al. Rna binding protein: Coordinated expression between the nuclear and mitochondrial genomes in tumors. J. Transl. Med 21, 512 (2023).
Qi, J. et al. TUBA1B as a novel prognostic biomarker correlated with immunosuppressive tumor microenvironment and immunotherapy response. Front Pharm. 16, 1517887 (2025).
Chakraborty B. et al. Inhibition of estrogen signaling in myeloid cells increases tumor immunity in melanoma. J. Clin. Invest. 131, e151347 (2021).
Catez, F. et al. Ribosome biogenesis: An emerging druggable pathway for cancer therapeutics. Biochem Pharm. 159, 74–81 (2019).
Kuwahara, H. & Gao, X. Analysis of the effects of related fingerprints on molecular similarity using an eigenvalue entropy approach. J. Cheminform 13, 27 (2021).
Govindan G., Nair A. S. Composition, transition and distribution (CTD) – a dynamic feature for predictions based on hierarchical structure of cellular sorting. In: Annual IEEE India Conference – Engineering Sustainable Solutions) (2011).
Luck, K. et al. A reference map of the human binary protein interactome. Nature 580, 402–408 (2020).
Hao Z. et al. A selection-pattern-aware recommendation model with colored-motif attention network. Neurocomputing 538, 756–767 (2023).
Wang, Y., Ding, Y. & Shahrampour, S. Takde: Temporal adaptive kernel density estimator for real-time dynamic density estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45, 13831–13843 (2023).
Tang, J., Deng, C. & Huang, G.-B. Extreme learning machine for multilayer perceptron. IEEE Trans. Neural Netw. Learn. Syst. 27, 809–821 (2016).
Bantis, L. E., Nakas, C. T. & Reiser, B. Construction of confidence regions in the roc space after the estimation of the optimal youden index-based cut-off point. Biometrics 70, 212–223 (2014).
Barretina, J. et al. The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature 483, 603–607 (2012).
Tsherniak, A. et al. Defining a cancer dependency map. Cell 170, 564–576 (2017).
Lopez, R. et al. Deep generative modeling for single-cell transcriptomics. Nat. Methods 15, 1053–1068 (2018).
Johnson, W. E., Li, C. & Rabinovic, A. Adjusting batch effects in microarray expression data using empirical bayes methods. Biostatistics 8, 118–127 (2007).
Xu, Y. et al. Maca: Marker-based automatic cell-type annotation for single-cell expression data. Bioinformatics 38, 1756–1760 (2022).
Zhong Z. et al. Domain generalization enables general cancer cell annotation in single-cell and spatial transcriptomics. Nat Commun 15, 1929 (2024).
Qi, G. scXDR. https://doi.org/10.5281/zenodo.17857697 (2025).
Continue Reading