Anti-EBV: Artificial intelligence driven predictive modeling for repurposing drugs as potential antivirals against Epstein-Barr virus by Hiteshi Vaidya, Sakshi Gautam, Manoj Kumar

“…In this endeavor, we have developed an AI/ML based predictive algorithm ''Anti-EBV” to find potential antivirals against EBV. …”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…We also propose an efficient alternating iterative update algorithm to optimize the proposed model and provide a theoretical analysis of its performance. …”
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4SQR-Code: A 4-state QR code generation model for increasing data storing capacity in the Digital Twin framework by Ababil Islam Udoy, Muhammad Aminur Rahaman, Md. Jahidul Islam, Anichur Rahman, Zulfiqar Ali, Ghulam Muhammad

“…The structural flexibility of QR Code architecture opens many more possibilities for researchers in the domain of the Industrial Internet of Things (IIoT). …”
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A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types by Zhen Zeng, Tianbei Zhang, Jiajia Zhang, Shuai Li, Sydney Connor, Boyang Zhang, Yimin Zhao, Jordan Wilson, Dipika Singh, Rima Kulikauskas, Candice D. Church, Thomas H. Pulliam, Saumya Jani, Paul Nghiem, Suzanne L. Topalian, Patrick M. Forde, Drew M. Pardoll, Hongkai Ji, Kellie N. Smith

“…Our three-gene “MANAscore” algorithm outperforms other RNAseq-based algorithms in identifying validated neoantigen-specific CD8+ clones, and accurately identifies TILs that recognize other classes of tumor antigens, including cancer testis antigens, endogenous retroviruses and viral oncogenes. …”
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Aryana-bs: context-aware alignment of bisulfite-sequencing reads by Hassan Nikaein, Ali Sharifi-Zarchi, Afsoon Afzal, Saeedeh Ezzati, Farzane Rasti, Hamidreza Chitsaz, Govindarajan Kunde-Ramamoorthy

“…While the Expectation-Maximization (EM) algorithm provides only modest initial improvements, it establishes a valuable framework for future refinement and potential enhancements in sensitive applications.…”
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The Use of Economic and Mathematical Modeling in Assessing the Competitiveness of Tourism Industry Enterprises by S. N. Medvedeva, V. P. Pavlyuk

“…Therefore, the study of the competitiveness of the tourism industry market in ensuring sustainable economic growth of the state and increasing the well-being of the population is an extremely relevant direction in a market economy.At the moment, many international, domestic methods are used to assess the level of competitiveness (competitive opportunities). …”
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An Efficient Optimal CapsNet Model-Based Computer-Aided Diagnosis for Gastrointestinal Cancer Classification by Fahdah A Almarshad, Prasanalakshmi Balaji, Liyakathunisa Syed, Eman Aljohani, Santhi Muttipoll Dharmarajlu, Thavavel Vaiyapuri, Nourah Ali AlAseem

“…With this inspiration, this study presents a new snake optimization algorithm with a DL-assisted GC classification (SOADL-GCC) approach. …”
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Severe-hail detection with C-band dual-polarisation radars using convolutional neural networks by V. Forcadell, V. Forcadell, C. Augros, O. Caumont, O. Caumont, K. Dedieu, M. Ouradou, C. David, J. Figueras i Ventura, O. Laurantin, H. Al-Sakka

“…The study demonstrates that many of the existing hail proxies can be adjusted using a threshold value and a threshold area to achieve better performance. …”
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Analisis Metode Estimasi Biaya pada Perangkat Lunak Beserta Faktor-Faktor yang Mempengaruhi : A Systematic Literature Review by Amelia Devi Putri Ariyanto, Lutfiyatul ‘Azizah, Umi Laili Yuhana

“…Failure to estimate costs in software project planning can cause the project to not run well and cause losses to the company. Therefore, many researchers are still looking for and researching to get the best estimation by considering the cost estimation factors. …”
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A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data by Xu Zhang, Shenbing Ma, Jun Ye, Lintao Gao, Hui Huang, Qiman Xie, Liming Bo, Qun Wang

“…However, the actual control strategies and parameters of many new energy units are often unavailable due to factors like outdated equipment or commercial confidentiality. …”
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BrAIn Jam: neural signal-informed adaptive system for drumming collaboration with an AI-driven virtual musician by Torin Hopkins, Torin Hopkins, Ruojia Sun, Suibi Che Chuan Weng, Shih-Yu Ma, Shih-Yu Ma, James Crum, Leanne Hirshfield, Ellen Yi-Luen Do, Ellen Yi-Luen Do

“…Our system includes a real-time algorithm for preprocessing and classifying brain data, enabling dynamic AI rhythm adjustments based on neural signal processing. …”
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Oncolytic Viruses and Immunotherapy for the Treatment of Uveal Melanoma and Retinoblastoma: The Current Landscape and Novel Advances by Merve Kulbay, Nicolas Tuli, Massimo Mazza, Armaan Jaffer, Sarinee Juntipwong, Emily Marcotte, Stuti Misty Tanya, Anne Xuan-Lan Nguyen, Miguel N. Burnier, Hakan Demirci

“…The recent developments in virus-like drug conjugates (i.e., AU011), oncolytic viruses for metastatic UM, and targeted immunotherapies have shown great results in clinical trials for the future clinical application of these novel technologies in the treatment algorithm of certain intraocular tumors.…”
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The risk factors of cardiovascular disorders in children with chronic bronchopulmonary diseases by O. Ye. Pashkova, G. O. Lezhenko

“…The development of cardiovascular complications is caused by a combination of many factors in children with chronic bronchopulmonary diseases. …”
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DIFFERENTIAL DIAGNOSIS OF TEMPOROMANDIBULAR DISORDERS WITH THE USE OF DEVELOPED COMPUTER PROGRAM TO DEFINE THE INDIVIDUAL RISK OF THEIR DEVELOPMENT by A.D. Telishevska

“…Problem of diagnosis and treatment of patients with diseases of temporomandibular joint (TMJ) over the years remains relevant, due to lack of consensus on the origin, pathogenesis, differential diagnosis methods, different clinical disorders similarity. Many patients with temporomandibular disorders (TMD) do not seek for treatment. …”
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Evolutionary and expression analysis of sugar transporters from Tartary buckwheat revealed the potential function of FtERD23 in drought stress by Dili Lai, Md. Nurul Huda, Yawen Xiao, Tanzim Jahan, Wei Li, Yuqi He, Kaixuan Zhang, Jianping Cheng, Jingjun Ruan, Meiliang Zhou

“…Although sugar transporters are involved in stress tolerance in many plants, the sugar transporter gene family of Tartary buckwheat has yet to be systematically analyzed. …”
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Identifying pathways to cardiovascular mortality by causal graphical models and mediation analysis among hypertensive patients: insights from a prospective study by Simiao Tian, Zhen Li, Yanhong Bi, Xiaoyu Che, Ao Feng, Yiou Wang

“…Abstract Background Many biochemical markers are involved in cardiovascular (CV) prognosis in the hypertensive population, but most findings are derived from a single-exposure setting, and their interaction and potential pathways remain scarce. …”
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Effect of Position-Based Dosing Strategy for Metaraminol on Neonatal Acid–Base Status During Elective Caesarean Delivery: A Noninferiority Randomised Controlled Trial by Liu T, Jiang H, Xu C, Li L, Zhang H, Feng Y

“…The infusion rates were then adjusted using a fixed algorithm to maintain systolic blood pressure. The primary outcome was the pH of the umbilical artery.Results: Compared with tilt group, pH (supine group: 7.325 (7.29, 7.35) vs tilt group: 7.33 (7.3, 7.35), P = 0.76) and base excess (tilt group: − 0.98 (2.59) mM vs supine group: − 0.92 (2.77) mM, P = 0.9) of the umbilical artery are non-inferior. …”
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An AI-Based Digital Scanner for <i>Varroa destructor</i> Detection in Beekeeping by Daniela Scutaru, Simone Bergonzoli, Corrado Costa, Simona Violino, Cecilia Costa, Sergio Albertazzi, Vittorio Capano, Marko M. Kostić, Antonio Scarfone

“…This study introduces a digital portable scanner coupled with an AI algorithm (BeeVS) used to detect Varroa mites. The device works through image analysis of a sticky sheet previously placed under the beehive for some days, intercepting the Varroa mites that naturally fall. …”
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Exploring the opportunities and challenges of using large language models to represent institutional agency in land system modelling by Y. Zeng, C. Brown, C. Brown, J. Raymond, M. Byari, R. Hotz, M. Rounsevell, M. Rounsevell, M. Rounsevell

“…Large language models (LLMs) offer a novel approach to simulating many different types of human decision-making, including policy choices. …”
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Deep neural networks excel in COVID-19 disease severity prediction—a meta-regression analysis by Márton Rakovics, Fanni Adél Meznerics, Péter Fehérvári, Tamás Kói, Dezső Csupor, András Bánvölgyi, Gabriella Anna Rapszky, Marie Anne Engh, Péter Hegyi, Andrea Harnos

“…We identified both the relevant confounding factors of tool performance using the MetaForest algorithm and the best tools—comparing linear, machine learning, and deep learning methods—with mixed-effects meta-regression models. …”
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