Protein function prediction using GO similarity-based heterogeneous network propagation by Sai Hu, Bihai Zhao

“…Abstract Protein function prediction is a fundamental cornerstone in bioinformatics, providing critical insights into biological processes and disease mechanisms. Despite significant advances, challenges persist due to data sparsity and functional ambiguity. …”
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Neoantigen prioritization based on antigen processing and presentation by Serina Tokita, Serina Tokita, Takayuki Kanaseki, Takayuki Kanaseki, Toshihiko Torigoe

“…In this review, we discuss current approaches to the detection of clinically relevant neoantigens, with a focus on antigen processing and presentation.…”
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Management of Acquired Hypothalamic Obesity After Childhood-Onset Craniopharyngioma—A Narrative Review by Hermann L. Müller

“…It is well known that morbid hypothalamic obesity is associated with the grade of hypothalamic damage. Accordingly, craniopharyngioma should be considered a paradigmatic disease, reflecting challenges in the diagnosis and treatment of acquired hypothalamic obesity. …”
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Enhancement of Vitamin K2 Efflux in Bacillus subtilis Natto via a Potential Protein Receptor for Increased Yield by Chu Li, Han Wang, Guoliang Ma, Li Wang, Zhiming Zheng, Genhai Zhao, Peng Wang

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Analysis of multiple faults in induction motor using machine learning techniques by Puja Pohakar, Ravi Gandhi, Surender Hans, Gulshan Sharma, Pitshou N. Bokoro

“…Induction motors have concurrent faults, including stator winding, rotor faults, unbalanced voltages, load fluctuations, and overvoltages. These make fault diagnosis difficult and can result in disastrous failures if not detected. …”
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Smart Real-time Attendance System for Nigerian Universities by Mikailu Habila, Faseki N. Francisca, Luwani Ishaya, Muhammed Kabir Ahmed, Umar A. Muhammad, Haruna P. Charles

“…Ethical compliance was a core design concern, including informed consent, data encryption, access control, and fairness across facial profiles. …”
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Employee attendance system using face recognition and GPS using local binary pattern histogram by Narahari Vigraha Prasada, Ikrimach

“…Although the system is capable of functionally robust performance under normal conditions, tests point to possible scalability and performance improvements in extreme lighting conditions and outdoor applications, thus establishing future development paths for environmental adaptation.…”
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Typhoid intestinal perforation in Francophone Africa, a scoping review. by Leah Sukri, Audry Banza, Katherine Shafer, Yakoubou Sanoussi, Kathleen M Neuzil, Rachid Sani

“…Despite the high burden of infectious diseases in Francophone Africa, data from these countries regarding TIP remain limited. …”
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EDITORIAL: ARTIFICIAL INTELLIGENCE AND ITS TRANSFORMATIVE IMPACT ON SCIENTIFIC PUBLISHING by Abubakar Munir

“…After the proliferation of generative AI tools such as ChatGPT, the difference between human-written and machine-written content has become more difficult to distinguish, calling for increasingly sophisticated AI-driven authenticity checks (4). …”
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Inhomogeneous Illumination Image Enhancement Under Extremely Low Visibility Condition by Libang Chen, Jinyan Lin, Qihang Bian, Yikun Liu, Jianying Zhou

“…Despite improvements through neural network-based approaches, these techniques falter under extremely low visibility conditions exacerbated by inhomogeneous illumination, which degrades deep learning performance due to inconsistent signal intensities. …”
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Optimization of Laser-Induced Hybrid Hardening Process Based on Response Surface Methodology and WOA-BP Neural Network by Qunli Zhang, Jianan Ling, Zhijun Chen, Guolong Wu, Zexin Yu, Yangfan Wang, Jun Zhou, Jianhua Yao

“…This study uses Box–Behnken design (BBD) experiments to analyze key process parameters and develops response surface methodology (RSM) and whale-optimization-algorithm-optimized back-propagation neural network (WOA-BPNN) models for prediction and optimization. …”
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CriSALAD: Robust Visual Place Recognition Using Cross-Image Information and Optimal Transport Aggregation by Jinyi Xu, Yuhang Ming, Minyang Xu, Yaqi Fan, Yuan Zhang, Wanzeng Kong

“…Additionally, we employ the Sinkhorn Algorithm for Locally Aggregated Descriptors (SALAD) as a global descriptor to enhance place recognition accuracy. …”
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Advancements in Underwater Optical Wireless Communication: Channel Modeling, PAPR Reduction, and Simulations With OFDM by Liwei Yang, Zeyang Bi, Xue Liang, Lihao Zhao, Jiade Zhang, Jingyi Peng

“…The novel PTS-Clipping approach achieved a reduction in OFDM signal PAPR from 11.861 dB to as low as 10.228 dB, demonstrating superior performance, particularly in high-order modulation schemes like 16-QAM, where signal integrity is critical. …”
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Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments by Mohammad Arbabpour Bidgoli, Arian Behmanesh, Navid Khademi, Phromphat Thansirichaisree, Zuduo Zheng, Sara Saberi Moghadam Tehrani, Sajjad Mazloum, Sirisilp Kongsilp

“…In this experiment, participants’ brainwave signals are gathered through an EEG device, and a questionnaire with their stated preferences is filled out. …”
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Sentiment Classification of Public Perception on LHKPN Using SVM and Naive Bayes by Ahmad Rijal Hermawan Hermawan, Isa Faqihuddin Hanif

“…These findings indicate that public sentiment toward the LHKPN initiative is largely favorable, despite persistent concerns surrounding integrity and trustworthiness in asset reporting. …”
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Voltage and Frequency Regulation in Interconnected Power Systems via a (1+PDD²)-(1+TI) Cascade Controller Optimized by Mirage Search Optimizer by Kareem M. AboRas, Ali M. Elkassas, Ashraf Ibrahim Megahed, Hossam Kotb

“…The controller was tested under various challenging conditions: sudden load disturbances, stochastic variations, nonlinearities like Generation Rate Constraints (GRC) and Governor Dead Band (GDB), time-varying reference voltages, and ±20% to ±40% parameter deviations. …”
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FedeAMR-CFF: A Federated Automatic Modulation Recognition Method Based on Characteristic Feature Fine-Tuning by Meng Zhang, Jiankun Ma, Zhenxi Zhang, Feng Zhou

“…Moreover, when terminal devices independently train models solely based on their local data, the model performance often suffers due to issues like data distribution disparities and insufficient training samples. …”
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Smart Farming: AI and IoT-Based Solutions for Real-Time Agriculture Monitoring by Kadao Anjali Krushna, Shivaji Ghorpade Bipin

“…The machine learning models are used to predict possible points of problems like disease outbreaks or nutrient deficiencies so that appropriate steps can be taken preemptively. …”
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An Investigation in Analyzing the Food Quality Well-Being for Lung Cancer Using Blockchain through CNN by Mohamed Abdelkader Aboamer, Mohamed Yacin Sikkandar, Sachin Gupta, Luis Vives, Kapil Joshi, Batyrkhan Omarov, Sitesh Kumar Singh

“…In this regard, “convolutional neural network” or CNN and blockchain are two important parts that together fasten the disease detection procedures securely. CNN can detect and predict diseases like lung cancer and help determine food quality, and blockchain is responsible for data. …”
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Exploring Stand Parameters Using Terrestrial Laser Scanning in <i>Pinus tabuliformis</i> Plantation Forests by Miaomiao He, Yawei Hu, Jiongchang Zhao, Yang Li, Bo Wang, Jianjun Zhang, Hideyuki Noguchi

“…Based on field survey data, including tree number, height (H), diameter at breast height (DBH), and biomass, high-precision point cloud data were acquired using TLS. …”
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