Generation of a High‐Precision Whole Liver Panorama and Cross‐Scale 3D Pathological Analysis for Hepatic Fibrosis by Xiaochuan Zhang, Weicheng Yang, Xiaoliang Li, Yanli Zhao, Zongneng Xie, Shuangqu Li, Yue Zeng, Xiaoxu Hao, Xiaohong Xin, Yu Zhang, Zixuan Feng, Hualiang Jiang, Zhaobing Gao, Xianzhen Yin

“…Abstract The liver harbors complex cross‐scale structures, and the fibrosis‐related alterations to these structures have a severe impact on the diverse function of the liver. However, the hepatic anatomic structures and their pathological alterations in the whole‐liver scale remain to be elucidated. …”
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CORELATION OF PARENTS' PROFILES OF CHILDREN WITH LATE CLEFT REPAIR IN SURABAYA CLEFT LIP AND PALATE CENTRE (JANUARY 2015–DECEMBER 2017) by Laras Puspita Ningrum, Iswinarno Doso Saputro, Lobredia Zarasade

“…The  soft  palate  must function  properly before the  patient  starts learning  to  talk,  otherwise  speech disorders such as persistent rhinolalia aperta might arise. …”
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A Novel Method for Analyzing the Factors Influencing Ground Settlement during Shield Tunnel Construction in Upper-Soft and Lower-Hard Fissured Rock Strata considering the Coupled H... by Yan Wang, Yongjun Zhang, Zhen Zhu, Mingqing Du, Yi Qi

“…A large number of training cases are generated through the RBF-ANN, and the Bayesian network (BN) prior probability is calculated by self-learning. A BN model of ground settlement for shield tunnel construction in the upper-soft and lower-hard fissured rock strata is established. …”
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Type 1 diabetes prevention clinical trial simulator: Case reports of model‐informed drug development tool by Juan Francisco Morales, Marian Klose, Yannick Hoffert, Jagdeep T. Podichetty, Jackson Burton, Stephan Schmidt, Klaus Romero, Inish O'Doherty, Frank Martin, Martha Campbell‐Thompson, Michael J. Haller, Mark A. Atkinson, Sarah Kim

“…We then applied trial‐specific inclusion/exclusion criteria, sample sizes in treatment and placebo arms, trial duration, assessment interval, and dropout rate. We implemented a function for presumed drug effects. To increase the size of the population pool, we generated virtual populations using multivariate normal distribution and ctree machine learning algorithms. …”
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Omega-3 Fatty Acids for the Treatment of Bipolar Disorder Symptoms: A Narrative Review of the Current Clinical Evidence by Evmorfia Psara, Sousana K. Papadopoulou, Maria Mentzelou, Gavriela Voulgaridou, Theophanis Vorvolakos, Thomas Apostolou, Constantinos Giaginis

“…Omega-3 fatty acids, as basic ingredients of fishes and seafood, play crucial roles in brain development, function of brain membrane enzymes, learning, and many other instances, and their deficiency has been associated with many mental diseases, including bipolar disorder. …”
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Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients by Hanfei Zhu, Ruojiang Wang, Jiajie Qian, Yuhao Wu, Zhuqing Jin, Xishen Shan, Fuhai Ji, Zixuan Yuan, Tingrui Pan

“…Impact Statement: Our study demonstrates that LLMs have the potential to address the issues of poor generalization and weak interpretability commonly encountered in disease prediction using traditional machine learning (ML) models. Introduction: AKI is a severe postoperative complication, especially in elderly patients with declining renal function. …”
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A Comparison of the Results of Two Different Double-Row Repair Techniques in Arthroscopic Repair of Rotator Cuff Tears by Gökhan Ünlü, Mehmet Faruk Çatma, Ahmet Burak Satılmış, Tolgahan Cengiz, Serhan Ünlü, Mustafa Erdem, Önder Ersan

“…<i>Conclusions</i>: Using fewer implants in a double-row repair provides comparable functional outcomes and re-tear rates, and offers surgeons a cost-effective alternative, especially at the beginning of their learning curve. …”
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Total flavonoids of Dracocephalum moldavica L. alleviate cognitive impairment via TNF-α/NF-κB p65 signaling pathway in vascular dementia rats by Shangjia Ma, Jianxin Jia, Jianxin Jia, Lie Wu, Kai Tian, Lu Wang, Hua Li, Jiayu Lv, Dewang Gao, Zhanjun Yang, Zhanjun Yang, Xia Guo

“…The Morris water maze test assessed spatial learning and memory capacities. Nissl staining was used to examine the neuronal damage. …”
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Enhanced Blood‐Brain Barrier Penetrability of BACE1 SiRNA‐Loaded Prussian Blue Nanocomplexes for Alzheimer's Disease Synergy Therapy by Xiaoyuan Ding, Yanyu Hu, Xiaotong Feng, Zekun Wang, Qile Song, Chunxue Dai, Bangjia Yang, Xiaoyan Fu, Dongdong Sun, Cundong Fan

“…The silence of BACE1 function to slow down Aβ production was accepted as an effective strategy for combating AD. …”
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USP5-Mediated PD-L1 deubiquitination regulates immunotherapy efficacy in melanoma by Jiaheng Xie, Pengpeng Zhang, Yuankun Liu, Dan Wu, Xueqi Ou, Ming Wang, Wei Yan, Jianlan Liu, Jian Tang, Tianyi Ni, Chenfeng Ma, Qikai Tang, Songyun Zhao, Min Qi

“…Methods We conducted multi-omics analyses and constructed a prognostic model based on PTM-related genes using machine learning to identify key regulators in melanoma. In vitro and in vivo experiments, including cell culture, flow cytometry, and subcutaneous allografts models, were used to investigate USP5’s function. …”
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Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach by Arefin Ittesafun Abian, Mohaimenul Azam Khan Raiaan, Asif Karim, Sami Azam, Nur Mohammad Fahad, Niusha Shafiabady, Kheng Cher Yeo, Friso De Boer

“…Model explainability is ensured through heatmap generation, region of interest segmentation, and Probability Density Function (PDF) graphs illustrating feature distribution.ResultsOur model TD-CNN-LSTM-LungNet attained a remarkable accuracy of 96.57% in classifying LUS videos into pneumonia, COVID-19, normal, and other lung disease classes, which is above compared to ten traditional transfer learning models experimented with in this study. …”
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Psychotic relapse prediction via biomarker monitoring: a systematic review by Alexandros Smyrnis, Christos Theleritis, Christos Theleritis, Panagiotis Ferentinos, Nikolaos Smyrnis, Nikolaos Smyrnis

“…In the wearables group, machine learning models were trained based on features such as heart rate, acceleration, and geolocation, which were measured continuously. …”
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ESSegNeXt: A Novel Building Extraction Framework Based on Generalized SamGeo and SegNeXt Models Using High-Resolution Remote Sensing Images by Qi Lu, Wensong Liu, Lianpeng Zhang, Erzhu Li, Junlong Qiu, Lei Wang

“…Additionally, an edge-preserving loss function was introduced to enhance the boundary detection capability of the SegNeXt model using edge features extracted by SamGeo during cyclic validation. …”
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A Comparative Study Between Soft Actor-Critic (SAC) and Deep Deterministic Policy Gradient (DDPG) Algorithms for Solar PV MPPT Control Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…These problems have been addressed using deep reinforcement learning algorithms, such as the deep deterministic policy gradient (DDPG) algorithm. …”
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Efficient strategy for alleviating neuronal apoptosis and oxidative stress damage of Alzheimer's disease through dual targeting BCL-2 gene promoter i-motif and β-amyloid by Dongsheng Ji, Jiahui Zhang, Jihai Liang, Zhi-Shu Huang, Bing Shu, Ding Li

“…In the Aβ1-42-induced cell model, B14 could maintain mitochondrial function and number, regulate intracellular reactive oxygen species (ROS) and Ca2+ metabolism disorders, and effectively reduce Aβ1-42-induced apoptosis. …”
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INDIVIDUAL STYLE OF PROFESSIONAL ACTIVITY OF FUTURE PSYCHOLOGISTS: ESSENCE AND WAYS OF FORMATION IN THE EDUCATIONAL PROCESS OF A HIGHER EDUCATION INSTITUTION by Volkova Nataliia, Bykova Viktoriia

“…It is a set of systemic, functional, synergistic, axiological, and personally oriented approaches. …”
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Enhancing Attention Network Spatiotemporal Dynamics for Motor Rehabilitation in Parkinson’s Disease by Guangying Pei, Mengxuan Hu, Jian Ouyang, Zhaohui Jin, Kexin Wang, Detao Meng, Yixuan Wang, Keke Chen, Li Wang, Li-Zhi Cao, Shintaro Funahashi, Tianyi Yan, Boyan Fang

“…A multimodal analysis of resting-state electroencephalography (EEG) microstates and functional magnetic resonance imaging (fMRI) coactivation patterns was performed to characterize MIRT-induced spatiotemporal network reorganization. …”
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Clinical efficacy of a personalized exercise program in the rehabilitation of patients with atrial fibrillation after radiofrequency ablation by M. G. Bubnova, D. M. Aronov, M. M. Makhinova, K. V. Davtyan

“…Involvement of patients with AF after catheter RFA in a cardiac rehabilitation program based on moderate-intensity aerobic training improves exercise tolerance, cardiac function, corrects thrombogenic factors, and reduces the likelihood of arrhythmia recurrence, including AF.…”
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Deciphering the causal landscape: genetic insights into sporadic vestibular schwannoma risk factors through Mendelian Randomization by Yuyang Liu, Hui Feng, Hengchao Ma, Jing Li, Yang Yu, Hua Zhao, Xiaoguang Wang, Yun Li, Jun Zhang, Qi Liu

“…Abstract Background Sporadic vestibular schwannoma, a benign tumor affecting the vestibulocochlear nerve, poses significant health challenges due to its impact on hearing, balance, and facial nerve function. Despite known associations with genetic mutations and environmental factors, the causality between potential risk factors and sporadic vestibular schwannoma remains underexplored. …”
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Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study by Yue Liu, Jingshu Gao, Hang Ge, Hang Ge, Jiaxing Feng, Yu Wang, Xiaoke Wu, Xiaoke Wu

“…These biochemical alterations facilitated weight reduction and normalized endocrine function, thereby enhancing the live birth rate among PCOS patients. …”
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