Predictive modeling of pediatric drug-induced liver injury: Dynamic classifier selection with clustering analysis by Zixin Shi, Linjun Huang, Haolin Wang

“…Background Pediatric populations are more vulnerable to drug-induced liver injury (DILI) due to distinct pharmacokinetic profiles and ongoing physiological maturation processes. …”
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In-depth and high-throughput spatial proteomics for whole-tissue slice profiling by deep learning-facilitated sparse sampling strategy by Ritian Qin, Jiacheng Ma, Fuchu He, Weijie Qin

“…To achieve spatially resolved, deeply covered proteome mapping for centimeter-sized samples, we developed a sparse sampling strategy for spatial proteomics (S4P) using computationally assisted image reconstruction methods, which is potentially capable of reducing the number of samples by tens to thousands of times depending on the spatial resolution. In this way, we generated the largest spatial proteome to date, mapping more than 9000 proteins in the mouse brain, and discovered potential new regional or cell type markers. …”
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Metal-Cation-Induced Tiny Ripple on Graphene by Yingying Huang, Hanlin Li, Liuyuan Zhu, Yongshun Song, Haiping Fang

“…In this study, we report that tiny ripples in graphene can be generated by the adsorption of a single metal cation (Na⁺, K⁺, Mg²⁺, Ca²⁺, Cu²⁺, Fe³⁺) onto a graphene sheet, based on the density functional theory calculations. …”
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Multistep Degradation Tendency Prediction for Aircraft Engines Based on CEEMDAN Permutation Entropy and Improved Grey–Markov Model by Wei Jiang, Jianzhong Zhou, Yanhe Xu, Jie Liu, Yahui Shan

“…Aiming at the complexity of intrinsic mode functions (IMFs) generated by CEEMDAN, an IMFs reconstruction strategy based on permutation entropy is developed to better characterize the degradation states. …”
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MAGNETOHYDRODYNAMICS NANOFERRO FLUID FLOWS PASSING THROUGH A MAGNETIC POROUS SPHERE UNDER THERMAL RADIATION EFFECT by Basuki Widodo, Eirene Juwita Ningtyas Pamela, Dieky Adzkiya, Chairul Imron, Tri Rahayuningsih

“…The dimensional mathematical model therefore is generated using the conservation laws of mass, momentum, and energy. …”
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Current Directions of Selected Plant-Origin Wastes’ Valorization in Biotechnology of Food Additives and Other Important Chemicals by Dominika Popielarz, Pavol Farkaš, Anna Bzducha-Wróbel

“…As industrial production continues to grow, the volume of waste generated by humanity is rising, leading to a heightened need to search for effective waste management and recycling methods. …”
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Sliding window constrained fault-tolerant filtering of compressor vibration data by Shaolin Hu, Xianxi Chen, Guoxi Sun

“…By utilizing a sliding window constraint function, the method produces a smoothed estimate for the current moment within the window. …”
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A toolbox for systematic discovery of stable and transient protein interactors in baker's yeast by Emma J Fenech, Nir Cohen, Meital Kupervaser, Zohar Gazi, Maya Schuldiner

“…Abstract Identification of both stable and transient interactions is essential for understanding protein function and regulation. While assessing stable interactions is more straightforward, capturing transient ones is challenging. …”
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Specific Cell Targeting Therapy Bypasses Drug Resistance Mechanisms in African Trypanosomiasis. by Juan D Unciti-Broceta, José L Arias, José Maceira, Miguel Soriano, Matilde Ortiz-González, José Hernández-Quero, Manuel Muñóz-Torres, Harry P de Koning, Stefan Magez, José A Garcia-Salcedo

“…Current therapies are characterized by high drug toxicity and increasing drug resistance mainly associated with loss-of-function mutations in the transporters involved in drug import. …”
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Campus risk detection using the S-YOLOv10-SIC network and a self-calibrated illumination algorithm by Qiang Zhao, Sha Liu, Shihao Zhang, Baijuan Wang

“…The experimental results show that compared with the original YOLOv10 network, the classification loss of the model generated by the improved algorithm is reduced by about 20%, the feature point loss is reduced by about 16%, and the Parameters, Gradients and GFLOPs are reduced by more than 80%. …”
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Attention-Based Multi-Objective Control for Morphing Aircraft by Qien Fu, Changyin Sun

“…Furthermore, a multi-phase pseudospectral method is derived to discretize the auxiliary problem and formulate the corresponding nonlinear programming problem, where open loop optimal solutions of the multi-task flight mission are generated. Finally, a learning-based feedback controller is established using data from the open loop solutions, where a temporal masked attention mechanism is developed to extract information from sequential data more efficiently. …”
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An online communicative translation assessment model in an Indonesian EFL translation class: Students’ perceptions by Soni Tantan Tandiana, Fuad Abdullah, Dede Anwar, Emmas Maspupah

“…The findings revealed that OCTAM provided students with an effective translation assessment model, coped with their limited English vocabulary, guided them to focus on knowledge of form, function, and meaning of both source and target texts, offered them a more contextual translation test, raised their awareness of translating as a meaning-making practice, facilitated them to correct grammatical errors, created a less anxious test atmosphere, and generated their multimodal communicative competence. …”
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Effect of Low-Temperature Plasma Activated Water with Different Treatment Times on Myofibrillar Proteins of Thawed Pork by Manting Du, Fangge Hao, Shunyang Sun, Ke Li, Qisen Xiang, Junguang Li, Lichuang Cao, Yanhong Bai

“…In this study, myofibrillar proteins (MPs) of thawed pork were treated with plasma-activated water (PAW) generated at different times (0, 5, 10, 15, 20, and 25 s) to investigate whether the function of MPs is improved through PAW and the corresponding regulatory mechanism. …”
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HnRNPM modulates alternative splicing in germ cells by recruiting PTBP1 by Peng Lv, Wenchao Xu, Sheng Xin, Yuanxuan Deng, Bin Yang, Dengjianyi Xu, Jian Bai, Deilin Ma, Tao Wang, Jihong Liu, Xiaming Liu

“…Conditional hnRNPM knockout mice were generated to observe the development of testes and germ cells in male mice. …”
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Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

“…The proposed approach requires fewer than 150 human interactions, while the typical method needs more than 1 200 interactions to generate the NC process for subparts. …”
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Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT's accuracy and reproducibility. by Yasuko Fukataki, Wakako Hayashi, Naoki Nishimoto, Yoichi M Ito

“…First, we compared the performance of GPT-4 and GPT-4o using custom agents developed via OpenAI's Custom GPT functionality (hereafter "GPTs"). Then, using GPT-4o alone, we compared outputs generated by GPTs optimized with customized Japanese prompts to those generated by standard prompts. …”
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Establishment of subcutaneous transplantation platform for delivering induced pluripotent stem cell-derived insulin-producing cells. by Hong Thuan Tran, Watchareewan Rodprasert, Irma Padeta, Saranyou Oontawee, Steven Dwi Purbantoro, Anatcha Thongsit, Parkpoom Siriarchavatana, Sayamon Srisuwatanasagul, Hiroshi Egusa, Thanaphum Osathanon, Chenphop Sawangmake

“…With a multi-step induction protocol, the functional and matured IPCs were generated by 13 days with a long-term survival capability. …”
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Modeling Collective Behavior for Fish School With Deep Q-Networks by Pengyu Chen, Fang Wang, Shuo Liu, Yifan Yu, Shengzhi Yue, Yanan Song, Yuanshan Lin

“…It verifies that the behavior pattern generated by the learned model is a highly ordered collective behavior. …”
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Federated stochastic gradient averaging ring homomorphism based learning for secure data aggregation in WSN by Saravanakumar Pichumani, T. V. P. Sundararajan, S. M. Ramesh

“…Following which fine tune weights are generated using Stochastic Gradient Averaging function. …”
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Stock Price Pumping and Dumping Manipulation Detection Using Deep Learning Methods in Tehran Stock Exchange by meysam amiri, moslem peymany, Mohammad Ali Dehghan Dehnavi, Reza Jahanbin

“…In the following, by using the adversarial generative network, misbalancing of data has been solved, and by using multi-layer perceptron neural network models, recurrent neural network, long-short-term memory neural network, and radial basis function network, price manipulation has been detected. …”
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