Government policy on ensuring food security: Bibliometric analysis by Bayali Atashov, Anar Abbasov, Azer Gurbanzade

“…The peak of publication in 2023 is connected to the war in Ukraine, the disruptions it caused to global food security, and the functioning of the grain corridor agreements. From 1922 to 2000, studies focused on broad themes like agricultural policy and food security. …”
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Dynamic Real-Time Anchor Selection for Accurate UWB Indoor Positioning-Based Deep Neural Networks by Ammar Fahem Majeed, Rashidah Arsat, Muhammad Ariff Baharudin, Nurul Mu'Azzah Abdul Latiff, Abbas Albaidhani

“…By integrating multi-scale feature extraction, sequential learning, and advanced activation functions with the conventional linearized least squares method, the LSB-DIP Net enables robust, accurate, and dynamic UWB positioning in real-time. …”
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Office-in-the-Loop: an investigation into Agentic AI for advanced building HVAC control systems by Tomoya Sawada, Masahiro Mizuno, Takaomi Hasegawa, Keiichi Yokoyama, Mayuka Kono

“…Furthermore, we introduce Data-Driven Reasoning using Agentic AI, finding that prompting the AI for data-grounded rationales significantly enhances prediction stability and enables the inference of system dynamics and cost functions, bypassing the need for traditional reinforcement learning paradigms. …”
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Enhanced recovery after surgery-guided strategies in single-incision laparoscopic totally extraperitoneal hernioplasty for inguinal hernia: a narrative review by Yi Jin, Hongqun Zhang, Yuping Chen, Chunyan Zhang, Yan Lin, Zhuoyin Wang

“…ObjectiveTo investigate the clinical efficacy and implementation challenges of single-port laparoscopic total extraperitoneal hernia repair (SIL-TEP) combined with enhanced recovery after surgery (ERAS) in the treatment of inguinal hernia.MethodsThis review summarized the technical advantages of SIL-TEP in reducing postoperative pain, accelerating functional recovery and improving cosmetic results compared with traditional three-port TEP. …”
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Increasing Medical Students Clinical Training Capacity Through the Establishment of Dedicated, Academic Out-patients’ Clinics. The Case of NAC—Neurology Academic Clinic in a Tert... by Daniela Noa Zohar, Vered Robinzon, Roni Loebenstein, Yuval Levy, Shachar Shapira, Nicola Maggio, Gad Segal

“…Methods The embodiment of two of three dimensions (extension along the day and to clinics-based teaching) is realized in our NAC—Neurology Academic Clinic: a teaching-centered complex of ambulatory neurology clinics, functioning within a tertiary medical center in the afternoon and evening hours. …”
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Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks by Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang

“…Numerous mobile applications (apps) with different functions meet the various needs of users, but users have to spend a lot of time selecting suitable mobile apps. …”
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SCS-Net: Stratified Compressive Sensing Network for Large-Scale Crowd Flow Prediction by Xiaoyong Tan, Kaiqi Chen, Min Deng, Baoju Liu, Zhiyuan Zhao, Youjun Tu, Sheng Wu

“…Moreover, the spatially stratified structure extracted by SCS-Net offers valuable interpretability for spatial heterogeneity in crowd flow patterns, providing deeper insights into urban functional layouts.…”
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Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence by Changge Guan, Marcelo D. T. Torres, Sufen Li, Cesar de la Fuente-Nunez

“…From these, we identified 386 candidates that are structurally and functionally distinct from known antimicrobial peptides. …”
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Hydrological connectivity on watershed nitrogen transport processes: a review by Ming Lei, Yu Long, Taoxi Li, Gang Sun, Hang Liu, Yichun Ma, Qian Zeng, Yaojun Liu

“…To promote the accurate identification of NTP through the application of HC, we recommend that future research should: i) developing methods for characterizing hydrological functional connectivity (HFC) to enhance the understanding of hydrological changes processes; ii) incorporating HC indicators into NTP models to improve the understanding of NTP; iii) developing a prediction model that combines NTP models with machine learning (ML) to predict future characteristics of NTP changes. …”
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Identification of key ferroptosis-related genes and therapeutic target in nasopharyngeal carcinoma by Yuanyuan Gu, Yaozhuang Zhou, Chunhua Xie, Guangyao He, Guangyao He, Maosheng Zhang

“…Functional enrichment (GSEA, GSVA), drug prediction (DGIdb), immune infiltration analysis (CIBERSORT), and single-cell RNA sequencing (scRNA-seq) were performed.ResultFrom 3405 DEGs, 90 ferroptosis-related genes were identified, enriched in ferroptosis, IL-17, and p53 signaling pathways. …”
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Restoring Connectedness in and to Nature: Three Nordic Examples of Recontextualizing Family Therapy to the Outdoors by Markus Mattsson, Carina Ribe Fernee, Carina Ribe Fernee, Kanerva Lehmuslaakso, Kanerva Lehmuslaakso, Pekka Lyytinen

“…The concreteness of adventure experiences is particularly beneficial for families that have difficulties in verbal communication and/or utilizing executive functions, perhaps due to neuropsychiatric traits, intellectual disabilities, or learning difficulties. …”
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YOLO-NeRFSLAM: underwater object detection for the visual NeRF-SLAM by Zhe Wang, Zhibin Yu, Zhibin Yu, Bing Zheng, Bing Zheng

“…In addition, common depth sensors and depth estimation techniques based on deep learning tend to be impractical or significantly less accurate underwater, failing to meet the demands of dense reconstruction. …”
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Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

“…The refined dataset is then input to a Transformer- based model trained with optimized loss functions, regularization strategies, and hyperparameter tuning. …”
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A Self-Tuning Variable Universe Fuzzy PID Control Framework with Hybrid BAS-PSO-SA Optimization for Unmanned Surface Vehicles by Huixia Zhang, Zhao Zhao, Yuchen Wei, Yitong Liu, Wenyang Wu

“…Benchmarks using Rastrigin, Griewank, and Sphere functions show superior convergence and 68% stability improvement. …”
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CEPHALOPOD, a package to standardize marine habitat‐modelling practices and enhance inter‐comparability across biological observations by Alexandre Schickele, Corentin Clerc, Fabio Benedetti, Daniele De Angelis, Urs Hofmann Elizondo, Matthias Münnich, Jean‐Olivier Irisson, Meike Vogt

“…CEPHALOPOD is built on observational data from federating initiatives such as AtlantECO, OBIS, GBIF, associated with already existing statistical and machine learning methods that enable to extract and model information from heterogeneous, scarce and biased field observations. …”
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Identification and validation of diagnostic biomarkers for temporal lobe epilepsy related to ferroptosis and potential therapeutic targets by Dai Shi, Jingxuan Li, Zhenpeng Niu, Likun Wang, Siying Ren, Wen Gu, Hui Yang, Hong Xue, Guofeng Wu

“…Through intersection of DEGs and key module genes, correlation analyses with functional-related genes (FRG), protein-protein interactions (PPI), least absolute shrinkage and selection operator (LASSO), and machine learning methods, five potential biomarkers of ferroptosis (CBS, SHMT1, RIN3, QDPR, and PLPP4) were isolated. …”
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Establishing a Prognostic Model Correlates to Inflammatory Response Pathways for Prostate Cancer via Multiomic Analysis of Lactylation-Related Genes by Qinglong Du, CuiYu Meng, Wenchao Zhang, Li Huang, Chunlei Xue

“…To enhance predictive precision, ensemble machine learning frameworks were implemented, culminating in a 10-gene lactylation signature demonstrating robust discriminative capacity (concordance index=0.738) across both primary (TCGA-PRAD) and external validation cohorts (DKFZ). …”
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Leveraging large language models for automated depression screening. by Bazen Gashaw Teferra, Argyrios Perivolaris, Wei-Ni Hsiang, Christian Kevin Sidharta, Alice Rueda, Karisa Parkington, Yuqi Wu, Achint Soni, Reza Samavi, Rakesh Jetly, Yanbo Zhang, Bo Cao, Sirisha Rambhatla, Sri Krishnan, Venkat Bhat

“…Mental health diagnoses possess unique challenges that often lead to nuanced difficulties in managing an individual's well-being and daily functioning. Self-report questionnaires are a common practice in clinical settings to help mitigate the challenges involved in mental health disorder screening. …”
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Revolutionizing Imaging Design Content With AIGC: User-Centered Challenges, Opportunities, and Workflow Evolution by Zijian Zhu, Tao Yu, Yijing Wang, Junping Xu

“…Output availability and cross-functional collaboration demonstrate practical benefits in improving content quality and team efficiency. …”
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Nav2Scene: Navigation-driven fine-tuning for robot-friendly scene generation by Bowei Jiang, Tongyuan Bai, Peng Zheng, Tieru Wu, Rui Ma

“…Nevertheless, prevailing methodologies for indoor scene synthesis predominantly adhere to data-driven learning paradigms. Despite achieving photorealistic 3D renderings through such approaches, current frameworks systematically neglect to incorporate agent-centric functional metrics essential for optimizing navigational topology and task-oriented interactivity in embodied AI systems like service robotics platforms or autonomous domestic assistants. …”
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