AI Driven Framework for Need-Based Insurance Plans Generation and Anomaly Detection Using Deep Learning Techniques by Rabia Rehman, Afia Mazhar, Ayesha Faheem, Irum Matloob, Shoab Ahmad Khan, Sumaira Shaukat, Muazzam A. Khan Khattak, Anwar Ahmed Khan, Muhammad Shoaib Siddiqui, Shama Siddiqui

“…The proposed framework efficiently detects anomalies in employee and physician behavior, with a 0.0917 validation loss and validation accuracy of 96.4%. …”
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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…Recent systems take advantage of the synergy between machine learning, data mining, and image processing to extract/analyze features from crowded zones and recognize patterns and anomalies from the crowd behavior. Additionally, image processing tools play a key role in real-time monitoring by analyzing video feeds to detect crowd density, flow direction, and identify potential risks like overcrowding or emergencies. …”
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Comparison study of silty clay-gravel mixture-geotextile interface without and with polyurethane foam adhesive injection by Bo Xiong, Jian-Xin Liu, Meysam Bayat, Wei-Qiang Feng, Yu-Fei Fang, Zohreh Mousavi

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Innovative strategies to optimise colorectal cancer immunotherapy through molecular mechanism insights by Quanjun Lin, Zhiqiang Wang, Jue Wang, Ming Xu, Xinyi Zhang, Peng Sun, Yihang Yuan

“…Enrichment analysis revealed that the C0 FXYD5+ tumor cell subtype exhibited increased energy metabolism, protein synthesis, and oxidative phosphorylation, contributing to its aggressive behavior. In vitro experiments confirmed DLX2 as a critical gene associated with poor prognosis, suggesting its viability as a target for improving drug sensitivity.ConclusionIn summary, this study advances our understanding of CRC progression by identifying critical tumor subtypes, molecular pathways, and prognostic markers that can inform innovative strategies for predicting and enhancing drug sensitivity. …”
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Harnessing the Power of Machine Learning Guided Discovery of NLRP3 Inhibitors Towards the Effective Treatment of Rheumatoid Arthritis by Sidra Ilyas, Abdul Manan, Chanyoon Park, Hee-Geun Jo, Donghun Lee

“…PubChem and MACCS fingerprints were used to predict the inhibitory activities of the compounds. …”
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Modelling the interaction between stem cells derived cardiomyocytes patches and host myocardium to aid non-arrhythmic engineered heart tissue design. by Damiano Fassina, Caroline M Costa, Stefano Longobardi, Elias Karabelas, Gernot Plank, Sian E Harding, Steven A Niederer

“…Our model revealed that only when the scar is transmural do EHT properties impact activation times and isolated the EHT conductivity as the main parameter influencing propagation. We predicted that restoring physiological activation by tuning EHT conductivity is possible but may promote arrhythmic behavior. …”
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MULTI DETERMINISTIC BASED ASSESSMENT OF THE BEARING CAPACITY FOR A SHALLOW FOUNDATION: CASE STUDY OF LAGOS SOUTHWEST, NIGERIA by Oladipupo J.T., Eze U. Stanley, Mohammad K. Ravari, S.H. Waziri, Saleh .A. Saleh, Orji M. Omafume, Avwenaghegha, J.O, Zainab Alaran

“…The numerical modeling with Plaxis-3Dv24 software application accurately estimated the bearing capacity and settling behavior of the shallow foundation on lateritic clay. …”
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Exploratory Data Analysis of the In Vitro Effects of Novel Hydrazide-Hydrazone Antioxidants in the Context of In Silico Predictors by Yordan Yordanov, Virginia Tzankova, Denitsa Stefanova, Maya Georgieva, Diana Tzankova

“…The aim of the current study is to apply exploratory data analysis in order to profile the biological effects of the novel hydrazide-hydrazones, gain insights related to their mechanisms of action in the context of in silico predictions and identify key predictor–outcome relationships. …”
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Single-cell RNA sequencing reveals palmitoylation-driven cellular heterogeneity and prognostic biomarkers in lung adenocarcinoma by Taibo Huang, Lijie Kou, Qianqian Zhang, Xueya Liu, Xingang Hu

“…Palmitoylation is a dynamic lipid-based modification that occurs after protein synthesis and influences the behavior and lifespan of various cancer-related proteins. …”
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CD44 Immunohistochemical Expression in Central and Peripheral Parts of Prostatic Adenocarcinoma: An Institutional Study by Romano Oguic, Antun Grskovic, Josip Spanjol, Ivana Mikolasevic, Gordana Djordjevic

“…<i>Conclusions</i>: Our results provide insight into the possible value of CD44s expression for predicting the behavior of prostate tumors and the justification of therapy after a prostatectomy. …”
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Production, Transport, and Destruction of Dust in the Kuiper Belt: The Effects of Refractory and Volatile Grain Compositions by Thomas Corbett, Alex Doner, Mihály Horányi, Pontus Brandt, Will Grundy, Carey M. Lisse, Joel Parker, Lowell Peltier, Andrew R. Poppe, Kelsi N. Singer, S. Alan Stern, Anne J. Verbiscer

“…Instead, SDC observed dust fluxes 2–3 times higher than predicted between 40 and 60 au. One potential explanation for this discrepancy is that SDC may be encountering icy grains with different dynamical behavior than previously modeled silicate grains. …”
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STAT3‐dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer by Monika Oberhuber, Matteo Pecoraro, Mate Rusz, Georg Oberhuber, Maritta Wieselberg, Peter Haslinger, Elisabeth Gurnhofer, Michaela Schlederer, Tanja Limberger, Sabine Lagger, Jan Pencik, Petra Kodajova, Sandra Högler, Georg Stockmaier, Sandra Grund‐Gröschke, Fritz Aberger, Marco Bolis, Jean‐Philippe Theurillat, Robert Wiebringhaus, Theresa Weiss, Andrea Haitel, Marc Brehme, Wolfgang Wadsak, Johannes Griss, Thomas Mohr, Alexandra Hofer, Anton Jäger, Jürgen Pollheimer, Gerda Egger, Gunda Koellensperger, Matthias Mann, Brigitte Hantusch, Lukas Kenner

“…Abstract Prostate cancer (PCa) has a broad spectrum of clinical behavior; hence, biomarkers are urgently needed for risk stratification. …”
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Cingulin is an RNA-binding protein promoting pancreatic cancer through enhancing importin 7-mediated phospho-ERK nuclear translocation by Yuling Su, Fang Wei, Shu Li, Jiaming Qi, Guohuan Lin, Guantuo Li, Ping Liang, Zhenwei Yang, You Long, Xiaojia Li, Tingting Jiang, Jie He, Weiye Liang, Keping Xie

“…CGN was required for PDAC cell proliferation, gemcitabine (GEM) resistance, tumorigenesis, and metastasis, and its overexpression predicted a poor patient prognosis. Mechanistically, CGN, as an RNA-binding protein, stabilizes the mRNAs of AXL and importin-7 (IPO7), activating the mitogen-activated protein kinase (MAPK)/extracellular regulated protein kinase (ERK) signaling and promoting the nuclear translocation of phosphorylated ERK (pERK), which facilitates the malignant behavior of PDAC cells. …”
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Microplastic Interference with Fipronil Toxicity to Zebrafish Embryonic Development by Flavio Kiyoshi Tominaga, Rafaella Silva Brito, Isis Wanessa Ferreira dos Santos, Amanda de Azevedo Valle, Gisele Giannocco, Rui Monteiro de Barros Maciel, Fábio Kummrow, Marilia Cristina Oliveira Souza, Ana Carolina Luchiari, Bruno Fiorelini Pereira

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Precision-Engineered Co-N4−x-Cx Single Atoms Enhance Potential-Resolved Ru(bpy)32+ Electrochemiluminescence via Reactive Oxygen Species by Ziqi Kang, Shu Zhu, Shijun Wang, Zhizhi Xiang, Zixin Deng, Xuehao Tong, Zixu Wang, Yanghan Sun, Xiancheng Liu, Guangchao Zang, Chenzhong Li, Guixue Wang, Yuchan Zhang

“…This work provides insights into the development of tailored ECL promoters by introducing DFT prediction and elucidating the relationships between ORR/HPRR/OER processes and Ru(bpy)32+ ECL behavior, paving the way for designing precise immunoassays and advancing IVD techniques.…”
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First-principles study on the interfacial bonding strength and segregation at Mg/MgZn2 matrix interface by Longke Bao, Peng Du, Shengkun Xi, Cuiping Wang, Kaihong Zheng, Rongpei Shi, Guoqiang Xie, Xingjun Liu

“…To understand the interface characteristics between the precipitate β2′ and the Mg matrix, and thus guide the development of new Mg-Zn alloys, we investigated the atomic interface structure, work of adhesion (Wad), and interfacial energy (γ) of Mg(0001)/β2'(MgZn2)(0001) interface, as well as the effect of segregation behavior of the introduced transition metal atoms (3d, 4d and 5d) on interfacial bonding strength. …”
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Co-substrate model development and validation on pure sugars and corncob hemicellulosic hydrolysate for xylitol production by Juan Feng, Charin Techapun, Yuthana Phimolsiripol, Pornchai Rachtanapun, Suphat Phongthai, Julaluk Khemacheewakul, Siraphat Taesuwan, Kritsadaporn Porninta, Su Lwin Htike, Chatchadaporn Mahakuntha, Sumeth Sommanee, Rojarej Nunta, Anbarasu Kumar, Noppol Leksawasdi

“…The developed model can be applied to predict microbial behavior in batch xylitol production system using hemicellulosic hydrolysate over a xylose range of 10 - 100 g/L and provide useful information for subsequent design of fed-batch and continuous systems to achieve the efficient sustainable resource management of this agricultural and agro-industrial waste.…”
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Functionalization of biochar using SDS/SAP nanomicelles enhanced its immobilization capacity for dyes and heavy metals in water by Kun Tian, Chunping Li, Huiming Liu, Lianchun Wang

“…Cost analysis manifests that the SDMBC are high efficiency and cheap eco-adsorbents compared with commercial activated carbon, and the SDMBC dosage required for the removal of 99% of a fixed amount of MB in different volumes of effluent was predicted. Seven machine learning (ML) models were used to predict the MB (60 mg/L) adsorption of the SDMBC, using Shapley Additive Explanations (SHAP) for model interpretation. …”
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Hemispheric Distribution of Solar Active Regions during Solar Cycles 23–25 by Yuxia Liu, Tingting Xu, Miao Wan, Linhua Deng, Xinhua Zhao, Shiyang Qi, Nanbin Xiang, Weihong Zhou

“…The AR parameters provide additional information for the variations in sunspot activity, which can better predict the intensity and cyclical changes of solar activity. (3) The variation in the fitting slope sign of the asymmetry index for AR parameters reflects periodic changes in hemispheric ARs, providing valuable insights into the activity of other stars. (4) Both the dominant hemisphere and the cumulative trend of AR parameters display a cycle-dependent behavior. …”
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Electrically active defects in Ta-doped β-Ga2O3 grown using the optical floating zone method by Christopher A. Dawe, Lijie Sun, Ananthu Vijayan V. L., Vladimir P. Markevich, Janet Jacobs, Ian D. Hawkins, Matthew P. Halsall, Anthony R. Peaker, David J. Binks, Sai Charan Vanjari, Moorthy Babu Sridharan, Martin Kuball

“…The temperature dependence of the bias capacitance of diodes indicates no significant sign of carrier freeze-out down to 20 K. This confirms the predicted shallow donor behavior of Ta impurity atoms in β-Ga2O3 samples with a carrier concentration of (1.0–1.2) × 1018 cm−3. …”
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