FtsZ as a novel target for antibiotics development: Promises and challenges by Ming-Wei Wang, Kaini Hang, Wei Han, Xin Li, Qingtong Zhou, Dehua Yang

“…However, clinical translation is hindered by weak binding affinities, inhibitory inefficacy, dynamic conformational flexibility, and evolving drug resistance linked to FtsZ's functional plasticity. To address these challenges, future efforts should be directed to resolve transient assembly intermediates, leveraging machine learning with high-throughput screening, and integrating structural biology with pharmacokinetic optimization. …”
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Simulating the root-to-shoot ratio of natural grassland biomass in China by the AutoGluon framework by Rui Guo, Xiaodong Huang, Yangjing Xiu, Minglu Che, Jinlong Gao, Shuai Fu, Qisheng Feng, Tiangang Liang

“…This study has achieved spatial mapping of natural grassland R/S, offering valuable insights into carbon allocation, ecosystem functioning, and the sustainable management of grassland resources.…”
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Advancing nonadiabatic molecular dynamics simulations in solids with E(3) equivariant deep neural hamiltonians by Changwei Zhang, Yang Zhong, Zhi-Guo Tao, Xinming Qin, Honghui Shang, Zhenggang Lan, Oleg V. Prezhdo, Xin-Gao Gong, Weibin Chu, Hongjun Xiang

“…Distinct from conventional machine learning methods that predict key quantities in NAMD, N2AMD computes these quantities directly with a deep neural Hamiltonian, ensuring excellent accuracy, efficiency, and consistency. …”
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Comprehensive study on phase stability of lead-free Sn-based perovskite FAxMA1-xSnI3 by Zih-Lie Huang, Cheng-Hsien Yeh, Ming-Yao Wang, Vincent Wing-hei Lau, Hong-Kang Tian, Chuan-Feng Shih

“…This study addresses this by adjusting the ratio of formamidinium to methylammonium (FA/MA) in FAxMA1-xSnI3, experimentally finding optimal stability in phase composition and photoluminescence intensity at a ratio where x = 0.75. Using Density Functional Theory (DFT) and a pre-trained, fine-tuned machine-learning model, we explore the favorable molecular structures and configurations within FAxMA1-xSnI3. …”
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Identification of SMYD2 as a candidate diagnostic and prognostic biomarker for gastric cancer by Sichao Wang, Chuanxi Zhao, Dongmei Li, Qingzhi Liu, Cuiping Mao, Shanshan Ding, Shujun Zhang, Wenjing Shang

“…Consensus unsupervised clustering analysis was performed to identify HMEs-associated GC subtypes. Various machine learning methods were employed to construct an HMEs-based diagnostic model for GC. …”
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The underlying molecular mechanisms and biomarkers of Hip fracture combined with deep vein thrombosis based on self sequencing bioinformatics analysis by Guanghua Shi, Xiaocui Shi, Meng Zhang, Rui Cheng, Mengqing Hu, Yu Zhao, Shimei Li, Xiuxiu Li, Haiyun Ma, Pengcui Li

“…Results Seven candidate genes were selected, with functional enrichment analysis linking them to the autophagosome and PPAR signaling pathways. …”
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Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas by Yu Feng, Weiming Zeng, Yifan Xie, Hongyu Chen, Lei Wang, Yingying Wang, Hongjie Yan, Kaile Zhang, Ran Tao, Wai Ting Siok, Nizhuan Wang

“…Furthermore, ALFF analysis unveiled significant differences between depressed patients and healthy controls in eight functional clusters during the NEA, focusing on the left cuneus, cingulate gyrus, and superior parietal lobule. …”
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Accuracy and Usability of Smartphone-Based Distance Estimation Approaches for Visual Assistive Technology Development by Giles Hamilton-Fletcher, Mingxin Liu, Diwei Sheng, Chen Feng, Todd E. Hudson, John-Ross Rizzo, Kevin C. Chan

“…<italic>Conclusions:</italic> We provide key information that helps design reliable smartphone-based visual assistive technologies to enhance the functionality of PBLV.…”
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Unveiling the power of high-dimensional cytometry data with cyCONDOR by Charlotte Kröger, Sophie Müller, Jacqueline Leidner, Theresa Kröber, Stefanie Warnat-Herresthal, Jannis Bastian Spintge, Timo Zajac, Anna Neubauer, Aleksej Frolov, Caterina Carraro, DELCODE Study Group, Frank Jessen, Simone Puccio, Anna C. Aschenbrenner, Joachim L. Schultze, Tal Pecht, Marc D. Beyer, Lorenzo Bonaguro

“…To bridge this data analysis gap in HDC we develop cyCONDOR, an easy-to-use computational framework covering not only all essential steps of cytometry data analysis but also including an array of downstream functions and tools to expand the biological interpretation of the data. …”
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Metabolomic alterations in the plasma of patients with various clinical manifestations of COVID-19 by Qi Xin, Xiao Liang, Jin Yang, Xiaorui Wang, Fang Hu, Meng Jiang, Yijia Liu, Jin Gong, Yiwen Pan, Lijuan Liu, Jiao Xu, Yuxin Cui, Hongyu Qin, Han Bai, Yixin Li, Junpeng Ma, Chengsheng Zhang, Bingyin Shi

“…By examining differential expression, we identified candidate metabolites associated with different SARS-CoV-2 infection presentations. Functional and machine learning analyses were performed to explore the metabolites’ functions and verify their candidacy as biomarkers. …”
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A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism by Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek, Abdeslam Jakimi, Rachid Saadane

“…Numerous studies employ deep learning and NLP methodologies to construct sophisticated conversational agent systems. …”
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A multi-omic single-cell landscape reveals transcription and epigenetic regulatory features of t(8;21) AML by Xue-Ping Li, Yan Gao, Bai-Tian Zhao, Yu-Ting Dai, Jia-Ying Mao, Yang Liang, Lu Jiang

“…Furthermore, we delineated two functionally distinct T cell subsets, revealing that EOMES-mediated transcriptional regulation promotes the expansion of a cytotoxic T cell population (T cells_2; high GNLY, NKG7 and GZMB expression), with an increased clonality and a tendency for drug resistance. …”
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Acute hypobaric hypoxia attenuates the anti-fatigue effects of pitolisant by downregulating the expression of organic cation transporter 1 and P-glycoprotein by Gang Zhao, Yajuan Li, Mengyuan Liu, Mengyuan Liu, Wei Chang, Hui Shen, Junhui Xue, Junhui Xue, Junhui Xue, Fengzhou Liu, Fengzhou Liu

“…Additionally, gene and protein expression levels of P-glycoprotein (P-gp) and organic cation transporter 1 (OCT1) were assessed to explore the mechanisms by which HH affects pitolisant’s pharmacodynamics.ResultsA 40 mg/kg dose of pitolisant significantly improved learning, memory, cognitive, and motor functions in sleep-deprived mice under HH conditions (P &lt; 0.05). …”
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CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

“…Therefore, we apply fluid motion–based loss functions to analyze the motion of high-energy particles more effectively, addressing the problem of CME motion field extraction. …”
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Understanding the Educational and Social Difficulties in Children with Hemifacial Microsomia – A Literature Review by Michał Pniak, Paweł Miklis, Maciej Mawlichanów, Aleksandra Ciesielska, Aleksandra Sieradzka, Krzysztof Szerej, Zofia Czaplińska-Paszek, Alicja Kot, Marta Wojtczak, Natalia Myśliwiec, Adrian Róźycki

“…Studies on emotional functioning demonstrated a similar level of behavioral adjustment compared to control groups. …”
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Cognitive and motor abilities predict auditory-cued finger tapping in a dual task by Mohammed A. Mudarris, Mohammed A. Mudarris, Mohammed A. Mudarris, Renske N. Krijt, Allyah M. Hassell, Tanya M. Murphy, Marit F. L. Ruitenberg, Marit F. L. Ruitenberg, Marjolein Fokkema, Rebecca S. Schaefer, Rebecca S. Schaefer, Rebecca S. Schaefer

“…This study examined how stimulus complexity (metronome/music) and cognitive and motor functions affect tapping timing consistency and force. …”
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Metabolic pathway activation and immune microenvironment features in non-small cell lung cancer: insights from single-cell transcriptomics by Yanru Liu, Yanru Liu, Yanru Liu, Hanmin Liu, Hanmin Liu, Ying Xiong, Ying Xiong

“…Wet lab experiments validated the role of KRT6B in NSCLC, demonstrating that KRT6B expression is elevated and it stimulates the proliferation of cancer cells.DiscussionThese observations not only enhance our understanding of metabolic reprogramming and its biological functions in NSCLC but also provide new perspectives for early detection, prognostic evaluation, and targeted therapy. …”
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Loss aversion and evidence accumulation in short-video addiction: A behavioral and neuroimaging investigation by Chang Liu, Jinlian Wang, Hanbing Li, Qianyi Shangguan, Weipeng Jin, Wenwei Zhu, Pinchun Wang, Xuyi Chen, Qiang Wang

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Prostate cancer and metabolic syndrome: exploring shared signature genes through integrative analysis of bioinformatics and clinical data by Maomao Guo, Sudong Liang, Zhenghui Guan, Jingcheng Mao, Zhibin Xu, Wenchao Zhao, Hao Bian, Jianfeng Zhu, Jiangping Wang, Xin Jin, Yuan Xia

“…Comprehensively bioinformatics analyses, including functional enrichment, LASSO, and random forest algorithms, coupled with receiver operating characteristic (ROC) and precision recall curve (PRC) analyses were conducted. …”
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Hot and cold exposure triggers distinct transcriptional and behavioral responses in laboratory-inbred pond snails by Veronica Rivi, Anuradha Batabyal, Cristina Benatti, Fabio Tascedda, Johanna Maria Catharina Blom, Ken Lukowiak

“…These data suggest, albeit at the transcriptional level, the existence of a negative feedback loop necessary for sustaining cellular functions when metabolic demands might shift towards conserving energy during prolonged cold exposure. …”
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