The Role of the TIMP1/LINC01615 Axis as a Regulator of the EMT Pathway in Gastric Cancer by Jiying Liu, Yeganeh Olyaee, Khatere Mokhtari, Chaoxiang Lv, Niloufar Salimian, Maliheh Entezari, Afshin Taheriazam, Mehrdad Hashemi, Mazaher Maghsoudloo, Ling Yuan

“…Methods We utilized the TCGA-STAD dataset and differential expression gene (DEG) analysis was performed to identify overlapping genes between DEGs and the EMT pathway. The LASSO feature reduction algorithm and ROC curve analysis were applied to prioritize candidate biomarkers. …”
Get full text

Enhancing renewable energy integration through strategic stochastic optimization planning of distributed energy resources (Wind/PV/SBESS/MBESS) in distribution systems by Ahmad K. ALAhmad, Renuga Verayiah, Hussain Shareef, Agileswari Ramasamy, Saleh Ba-swaimi

“…A hybrid optimization approach combining the non-dominated sorting genetic algorithm (NSGAII) and multi-objective particle swarm optimization (MOPSO) with a decision-making algorithm is proposed to solve the planning problem. …”
Get full text

Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Mette Sagbakken, Ahmed Ghannam, Fuad H. Abuadas, Joel Somerville, Joel Somerville, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair

“…These efficiencies allowed nursing teams to devote more time to direct patient care and were associated with reductions in burnout and improved workplace morale.Nursing perceptionsAcross practice settings, nursing students and practicing nurses broadly welcomed AI’s ability to streamline workflows and support decision-making, recognizing its potential to elevate patient care and professional practice.Ethical implicationsSimultaneously, nurses voiced significant ethical concerns—chiefly around safeguarding patient data privacy, mitigating algorithmic bias, and preserving the compassionate, human-centered essence of nursing in an increasingly automated environment.Framework and recommendationsThe Nursing AI Integration Roadmap (NAIIR) was developed, emphasizing transformational education, advanced clinical integration, ethical governance, robust organizational infrastructure, participatory design, and rigorous economic evaluation. …”
Get full text

Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

“…Additionally, the suggested method (QOSCA) is applied to a multiobjective function while taking AVD and VSI into account. This resulted in a reduction in AVD by 0.37% and VSI by 0.24%, demonstrating the superiority of the suggested method. …”
Get full text

Enhanced thyroid nodule detection and diagnosis: a mobile-optimized DeepLabV3+ approach for clinical deployments by Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu

“…Preprocessing steps, including noise reduction and contrast optimization, were applied to enhance image clarity. …”
Get full text

Sequential Hybrid Beamforming for Radio Stripes by Joumana JOUMANA, Daniel Castanheira, Adao Silva, Rui Dinis, Atilio Gameiro

“…Simulation results have shown that our proposed sequential hybrid algorithm achieves approximately the same performance as the centralized CF counterpart with a significant reduction in the signaling and information exchange requirements.…”
Get full text

Identification of Differentially Expressed Drought-Responsive Genes in Guar [Cyamopsis tetragonoloba (L.) Taub] by Aref Alshameri, Fahad Al-Qurainy, Abdel-Rhman Gaafar, Salim Khan, Mohammad Nadeem, Saleh Alansi, Hassan O. Shaikhaldein, Abdalrhaman M. Salih

“…Drought remains one of the most serious environmental stresses because of the continuous reduction in soil moisture, which requires the improvement of crops with features such as drought tolerance. …”
Get full text

Ethical Foundations of AI-Driven Avatars in the Metaverse for Innovation and User Privacy by Ammar Almomani, Ahmad Al-Qerem, Mohammad Alauthman, Amjad Aldweesh, Samer Aoudi, Said A. Salloum

“…However, these advances also introduce critical ethical and legal dilemmas surrounding privacy, identity theft, algorithmic bias, and data governance. This study employs a comprehensive multimethodological approach combining systematic literature review, regulatory gap analysis, and ethical framework synthesis. …”
Get full text

Anti-Tetanus Vaccination Is Associated with Reduced Occurrence and Slower Progression of Parkinson’s Disease—A Retrospective Study by Ariel Israel, Eli Magen, Eytan Ruppin, Eugene Merzon, Shlomo Vinker, Nir Giladi

“…<b>Results:</b> Our analysis revealed a significant reduction in PD occurrence following tetanus–diphtheria (Td) vaccination, with an adjusted odds ratio of 0.17 (95% CI [0.04, 0.70]) for PD onset within 5 years post-vaccination. …”
Get full text

Estimation of Biophysical Parameters of Forage Cactus Under Different Agricultural Systems Through Vegetation Indices and Machine Learning Using RGB Images Acquired with Unmanned A... by Gabriel Italo Novaes da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Wagner Martins dos Santos, Alan Cézar Bezerra, Elisiane Alba, Marcos Vinícius da Silva, Jhon Lennon Bezerra da Silva, Luciana Sandra Bastos de Souza, Gabriel Thales Barboza Marinho, Abelardo Antônio de Assunção Montenegro, Thieres George Freire da Silva

“…The RGBVI and E<i>x</i>GR indices stood out for presenting greater correlations with FM and DM. The prediction analysis using the Random Forest algorithm, highlighting DM, which presented a mean absolute error of 1.39, 0.99, and 1.72 Mg ha⁻¹ in experimental units I and II, III, and IV, respectively. …”
Get full text

Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change by Robson Mateus Freitas Silveira, Angela Maria de Vasconcelos, Concepta McManus, Luiz Paulo Fávero, Iran José Oliveira da Silva

“…Applying the random forest method to classify predictions of adaptive responses based on climatic variables showed that all thermoregulatory, hormonal, biochemical, and hematological responses are important, except for urea and T₃ concentrations, which had negative importance values. …”
Get full text

Inhibition of transcription by dactinomycin reveals a new characteristic of immunogenic cell stress by Juliette Humeau, Allan Sauvat, Giulia Cerrato, Wei Xie, Friedemann Loos, Francesca Iannantuoni, Lucillia Bezu, Sarah Lévesque, Juliette Paillet, Jonathan Pol, Marion Leduc, Laurence Zitvogel, Hugues de Thé, Oliver Kepp, Guido Kroemer

“…Certain chemotherapeutics from the oncological armamentarium are able to trigger pre‐mortem stress signals that lead to immunogenic cell death (ICD), thus inducing an antitumor immune response and mediating long‐term tumor growth reduction. Here, we used an established model, built on artificial intelligence to identify, among a library of 50,000 compounds, anticancer agents that, based on their molecular descriptors, were predicted to induce ICD. …”
Get full text

Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion by Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang

“…Ultimately, the model’s robustness was validated by generating adversarial samples using the I-FGSM algorithm and optimizing model performance through adversarial training. …”
Get full text

Towards Secure IoT Authentication System Based on Fog Computing and Blockchain Technologies to Resist 51% and Hijacking Cyber-Attacks by Muwafaq Jawad, Ali A. Yassin, Hamid Ali Abed Al-asadi, Zaid Ameen Abduljabbar, Vincent Omollo Nyangares, Zaid Alaa Hussien, Husam A. Neamah

“…Our scheme integrates chaotic-based public key cryptosystems, a Light Encryption Device (LED) with a 3-D Lorenz chaotic map algorithm, and blockchain-based fog computing technologies to enhance both efficiency and scalability. …”
Get full text

Anthropometric changes and risk of diabetes: are there sex differences? A longitudinal study of Alberta’s Tomorrow Project by Ming Ye, Paula J Robson, Dean T Eurich, Jennifer E Vena, Jian-Yi Xu, Jeffrey A Johnson

“…Diabetes cases were identified using the Canadian National Diabetes Surveillance System algorithm with administrative healthcare data (2000–2015) linked to the ATP cohort. …”
Get full text

Hybrid geometry optimization to mitigate maximum temperature gradient in solid oxide fuel cells without lowering the net output performance by Hongkun Li, Tongyu Dai, Tiantian Hu, Weiqun Liu, Qiao Zhu, Dawei Dong

“…., output power density) is also substantially suppressed due to the temperature reduction. Thus, maintaining the output power in SOFCs when optimizing the temperature distribution has been deemed as a challenging task. …”
Get full text

Drought Amplifies the Suppressive Effect of Afforestation on Net Primary Productivity in Semi-Arid Ecosystems: A Case Study of the Yellow River Basin by Futao Wang, Ziqi Zhang, Mingxuan Du, Jianzhong Lu, Xiaoling Chen

“…Among drought events identified using a three-dimensional clustering algorithm, high-intensity droughts caused an average NPP loss of 23.2 gC·m⁻² across the basin. …”
Get full text

Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…These advancements result in significant reduction in off-chip data transfer, memory savings, and faster processing times. …”
Get full text

Modifiable factors and 10-year and lifetime cardiovascular disease risk in adults with new-onset hypertension: insights from the Kailuan cohort by Shouling Wu, Yanxiu Wang, Jiangshui Wang, Jun Feng, Furong Li, Liming Lin, Chunyu Ruan, Zhifang Nie, Jinwei Tian, Cheng Jin

“…Eight modifiable factors were assessed using the American Heart Association’s Life’s Essential 8 algorithm. We followed participants for incident CVD until December 2020, estimating 10-year and lifetime (age 25–95) CVD risks using the Fine-Gray competing risks model. …”
Get full text

Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…Travel time to the nearest hospital was modelled using least-cost path algorithm for each cluster. Bivariate and multilevel multivariable logistic regression models were constructed to explore associations between urbanicity and neonatal/perinatal deaths.Results Both neonatal and perinatal mortality rates were highest in core urban and lowest in rural clusters. …”
Get full text