In silico test of brotowali (Tinospora crispa) as potential anticancer agent targeting mTOR on colorectal cancer by Hanik Isnaini, Adinda Amalia Agustin RJ, Washeilatus Sholehah, Nida Sudarlina, Safina Oktafia, Luluk Ayu Khodariyah, Siwi Putri Mumpuni

“…This study aims to analyze the potential of colorectal anticancer targeted by active compounds of alkaloid derivatives in T.crispa against mTOR. The method used is to explore active compounds through the KnapSack web and 3D protein structures on NCBI, docking validation using PyMol, tethering compounds N-acetylnornuciferine, N-formylanonaine, N-trans-coumaroyltyramine, and Tyramine to the target ligand using Pyrx and then visualized using BIOVIA Discovery Studio Visualizer. …”
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SymSwin: Multi-Scale-Aware Super-Resolution of Remote Sensing Images Based on Swin Transformers by Dian Jiao, Nan Su, Yiming Yan, Ying Liang, Shou Feng, Chunhui Zhao, Guangjun He

“…Extensive experiments demonstrate that our method achieves superior performance in both quantitative metrics and visual quality compared with existing algorithms.…”
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Prediction of physicochemical characteristics of Lemon (Citrus limon cv. Montaji Agrihorti) using Vis-NIR spectroscopy and machine learning model by Jihan Nada Salsabila Erha, Dina Wahyu Indriani, Zaqlul Iqbal, Bambang Susilo, Dimas Firmanda Al Riza

“…The most accurate results were obtained using the SVM method for SSC and firmness parameters, with  accuracy of 72 and 78%, respectively. …”
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Sensor-Based Assessment of Mental Fatigue Effects on Postural Stability and Multi-Sensory Integration by Yao Sun, Yingjie Sun, Jia Zhang, Feng Ran

“…Objective: Mental fatigue (MF) induced by prolonged cognitive tasks poses significant risks to postural stability, yet its effects on multi-sensory integration remain poorly understood. Method: This study investigated how MF alters sensory reweighting and postural control in 27 healthy young males. …”
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FACTORS RELATED TO COMPUTER VISION SYNDROME (CVS) COMPLAINTS IN PROGRAMMERS DURING THE COVID-19 PANDEMIC by Marvita, Noeroel Widajati, Shafira Nurul Ramadhani, Vitria Wuri Handayani

“…Purpose: To analyze factors related to CVS complaints among programmers at an IT consulting company in Jakarta. Method: A cross-sectional quantitative descriptive research involving 60 participants was conducted. …”
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Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning by Bahar Uddin Mahmud, Guanyue Hong, Virinchi Ravindrakumar Lalwani, Nicholas Brown, Zachary D. Asher

“…The accurate identification of look-alike medical vials is essential for patient safety, particularly when similar vials contain different substances, volumes, or concentrations. Traditional methods, such as manual selection or barcode-based identification, are prone to human error or face reliability issues under varying lighting conditions. …”
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Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images by Xinghua Li, Linglin Xie, Caifeng Wang, Jianhao Miao, Huanfeng Shen, Liangpei Zhang

“…Compared with 11 state-of-the-art methods, BEDSN exhibits higher-level performance in both quantitative and visual assessments with low model complexity. …”
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Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network by Jian Song, Yingzhong Tian, Xiang Wan

“…Although approaches for the online surface detection of automotive pipelines exist, low defect area rates, small-sample and long-tailed data, and the difficulty of detection due to the variable morphology of defects are three major problems faced when using such methods. In order to solve these problems, this study combines traditional visual detection methods and deep neural network technology to propose a transfer learning multi-channel fusion decision network without significantly increasing the number of network layers or the structural complexity. …”
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TFCNet: A Hybrid Architecture for Multi-Task Restoration of Complex Underwater Optical Images by Shengya Zhao, Xiufen Ye, Xinkui Mei, Shuxiang Guo, Haibin Qi

“…Hence, various factors need to be comprehensively considered when processing underwater optical images that are severely degraded under complex lighting conditions. Most existing methods resolve one issue at a time, making it challenging for these isolated techniques to maintain consistency when addressing multiple degradation factors simultaneously, often leading to unsatisfactory visual outcomes. …”
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Impact of computing platforms on classifier performance in heart disease prediction by Beenish Ayesha Akram, Muhammad Irfan, Amna Zafar, Sidra Khan, Rubina Shaheen

“…We employed multiple classification methods such as Logistic Regression, K Nearest Neighbour (KNN), Support Vector Machine (SVM), Naïve Bayes, and Decision Tree (DT), assessing their accuracy using WEKA and Google Colab (using Scikit-Learn library). …”
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Pansharpening via Multiscale Embedding and Dual Attention Transformers by Wensheng Fan, Fan Liu, Jingzhi Li

“…Experiments over QuickBird and WorldView-3 datasets demonstrate the proposed MDPNet outperforms state-of-the-art methods visually and quantitatively with low running time. …”
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Indicators of Changes in Postural Stability with Chronic Nonspecific Neck Pain by Maryam Saadat, Mohammad Jafar Shaterzadeh Yazdi, Ali Asghar Arastoo, Shahla Zahednegad, Hossein Negahban Seuki, Abdol Hossein Bigdeli

“…Altered sensory input of the cervical spine structure, mediated via the direct neurophysiologic connections to vestibular and visual system has the potential to disturb postural control.Subjects and Methods: In this case-control study, postural stability was measured by force plate in 24 nonspecific chronic neck pain & 24 matched healthy subjects. …”
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Intersectoral Collaboration Among Community Health and Social Workers in Disability-Related Organizations in South Korea: Awareness, Perceived Importance, Frequency, and Satisfacti... by Hye-Jin Kim, Jae-Young Lim, Soong-Nang Jang

“…This study aimed to assess service providers’ awareness of disability-related community resources and evaluate their perceptions of the importance, frequency, and satisfaction with intersectoral collaboration. Methods: A cross-sectional study was conducted in Gyeonggi Province, Korea, using a mixed-methods design. …”
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A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

“…This paper addresses key limitations of traditional steganographic methods, such as limited payload capacity, susceptibility to detection, and lack of robustness against attacks. …”
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Advancements in Indoor Precision Positioning: A Comprehensive Survey of UWB and Wi-Fi RTT Positioning Technologies by Jiageng Qiao, Fan Yang, Jingbin Liu, Gege Huang, Wei Zhang, Mengxiang Li

“…Conventional indoor positioning methods, like Wi-Fi or Bluetooth fingerprinting, typically provide low accuracy within a range of several meters, while techniques such as laser or visual odometry often require fusion with absolute positioning methods. …”
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Psychometric questionnaire of developing the etiology pattern of road accident by Faranak Sharafati, Ali Jahan, Ehsan Kazemnejade Lyli, Majid Mirmohammadkhani

“…Background: The road accidentsis one of the most comprehensive health problems in the world This reasearch is doe with ths purpose developing the etiology patterns of road accident in Gilan province. Materials and Methods: This reasearch was a descriptive sectional and cross- analytical study that was done in two stages. …”
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USE OF ROPIVACAINE IN ADULTS UNDERGOING PERORAL ENDOSCOPIC MYOTOMY by A. A. Klimov, S. A. Kаmnev, S. S. Kаzаkovа, A. A. Mаlаkhovа, I. Yu. Nedoluzhko, S. I. Rudnitskiy, V. V. Subbotin, K. V. Shishin

“…Despite POEM being minimally invasive, the problem of the post-operative pain syndrome is still crucial for this type of surgery.The objective of the study: to compare the degree of pain syndrome in the early post-operative period in different POEM methods.Methods: 79 patients were divided into 2 groups depending on the solution injected into submucosal tissue in order to provide the safe performance of myotomy. 0.15% solution of ropivacaine was used in Group 1, and 0.9% solution of NaCl in Group 2. …”
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Integrating Sequence- and Structure-Based Similarity Metrics for the Demarcation of Multiple Viral Taxonomic Levels by Igor C. dos Santos, Rebecca di Stephano de Souza, Igor Tolstoy, Liliane S. Oliveira, Arthur Gruber

“…This tool provides a comprehensive approach to assist viral classification, exceeding the current methods by integrating multiple metrics and uncovering deeper evolutionary connections.…”
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APPLICATION OF PCR FOR THE DETECTION OF VIRAL INFECTIONS IN THE HONEYBEE Apis mellifera IN THE NORTHERN REGIONS OF UKRAINE by Yu.P. Rud, L.P. Buchatskyi, L.M. Lazarenko, H.V. Odnosum, T.M. Yefimenko, O.G. Vasylenko, M.Ya. Spivak

“…This study investigated viruses of the western honeybee (Apis mellifera) from the northern regions of Ukraine using polymerase chain reaction (PCR). Methods. To identify honeybee viruses, oligonucleotide primers, which are specific to a gene fragment encoding the capsid protein and a fragment of the RNA-dependent RNA polymerase gene, were used. …”
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Py-CoMSIA: An Open-Source Implementation of Comparative Molecular Similarity Indices Analysis in Python by Christopher L. Haga, Crystal N. Le, Xue D. Yang, Donald G. Phinney

“…This work aims to develop an open-source Python library to address these limitations and broaden access to grid-based 3D-QSAR methods. <b>Methods:</b> Py-CoMSIA was developed in Python using RDKit and NumPy for calculations and PyVista for visualizations. …”
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