Facilitators and barriers of fruit and vegetable consumption among Ugandans living with diabetes: a qualitative study by Aliza Hannah Stark, Norah Babirye, Tonny Kiyimba

“…Recruitment continued until data saturation.Results Five FGDs (n=33) were conducted. …”
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Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. by Ahmed Akib Jawad Karim, Kazi Hafiz Md Asad, Md Golam Rabiul Alam

“…This work focuses on the efficiency of the knowledge distillation approach in generating a lightweight yet powerful BERT-based model for natural language processing (NLP) applications. After the model creation, we applied the resulting model, LastBERT, to a real-world task-classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. …”
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The relationship of stress level and periodontal tissue health in soldiers from Kodam Jaya: a cross-sectional study by Baby Prabowo Setyawati, Nadila Dita, Ishiko Herianto, Ernie Maduratna Setiawatie

“…All participants completed ten closed-ended questionnaires about emotions and thoughts over the past month, along with the Perceived Stress Scale (PSS). Data processing was analyzed using univariate and bivariate methods, including Spearman's correlation.ResultsThe analysis of stress levels among soldiers shows that the light category includes 11 individuals (22.9%), the moderate category consists of 29 individuals (60.4%), and the heavy category includes 8 individuals (16.7%). …”
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Toward Energy Efficiency and Fairness in UAV-Based Task Offloading by Mohamed El-Emary, Ali Ranjha, Diala Naboulsi, Razvan Stanica

“…The rising demand for compute-intensive mobile applications challenges the limited energy and processing power of user equipment (UE). While Mobile Edge Computing (MEC) enables task offloading to nearby servers, deploying fixed MEC infrastructure is often impractical in settings like disaster zones or temporary high-density events. …”
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Transformer-Based Amharic-to-English Machine Translation With Character Embedding and Combined Regularization Techniques by Surafiel Habib Asefa, Yaregal Assabie

“…It is also an under-resourced language, presenting significant challenges for natural language processing tasks like machine translation. The primary challenges include the scarcity of parallel data, which increases the risk of overfitting and limits the model’s ability to generalize effectively, and the complex morphology of Amharic, which further complicates learning patterns in translation tasks. …”
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Study on the spatiotemporal evolution and prediction of internal porosity in concrete specimens under sulfate attack based on machine learning models by Chun Gong, Dunwen Liu, Kunpeng Cao, Yinghua Jian

“…Machine learning methods were employed to predict porosity changes based on CT data. The results demonstrated that CT scan analysis and image processing techniques can effectively visualize internal porosity and its spatiotemporal evolution. …”
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An Iterative Adaptive Polarization Calibration Method Independent of Corner Reflectors by Bowen Chi, Jixian Zhang, Guoman Huang, Lijun Lu, Shucheng Yang

“…Polarimetric calibration (PolCal) is essential for the quantitative processing of polarimetric synthetic aperture radar data. …”
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Pedagogical education of parents in conditions of destructive influence of values and meanings of mass culture via an informational and educational platform by V. V. Kulishov, O. A. Mosina

“…The results of the implementation of the author's plan in the practice of educational organizations, confirmed by the results of mathematical data processing, were presented in the form of an express review.Results and discussion. …”
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Multi-Scale Differentiated Network with Spatial–Spectral Co-Operative Attention for Hyperspectral Image Denoising by Xueli Chang, Xiaodong Wang, Xiaoyu Huang, Meng Yan, Luxiao Cheng

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Information Processor by Jia-Rey Chang

“…But before applying this powerful technology in architectural design, the crucial knowledge behind it that architects had to understand and realize was the manner and procedure of “Processing of Information”. Without information, the computer would be just lying on one’s desk as a useless cube, like a vehicle without a driver, or a body without a soul. …”
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Experimental and theoretical studies on antituberculosis activity of different benzimidazole derivatives by Suna Kızılyıldırım, Berfin Sucu, Muhammed Tilahun Muhammed, Senem Akkoç, Tuba Esatbeyoglu, Fatih Ozogul

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Context-Aware Multimodal Fusion with Sensor-Augmented Cross-Modal Learning: The BLAF Architecture for Robust Chinese Homophone Disambiguation in Dynamic Environments by Yu Sun, Yihang Qin, Wenhao Chen, Xuan Li, Chunlian Li

“…Chinese, a tonal language with inherent homophonic ambiguity, poses significant challenges for semantic disambiguation in natural language processing (NLP), hindering applications like speech recognition, dialog systems, and assistive technologies. …”
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Diagnosing Gingiva Disease Using Artificial Intelligence Techniques by Rana Khalid Sabri, Lujain Younis Abdulkadir, AbdulSattar Mohammed Khidhir, Hiba Abdulkareem Saleh

“…Surpassing other models in precision and recall metrics. Pre-processing techniques such as normalization using the CIELAB color space and data augmentation significantly enhanced model accuracy. …”
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Mapping coffee intensification in Mexico: a multivariate spatial analysis approach by José Mauricio Galeana-Pizaña, Robert H. Manson

“…Using k-medians clustering on data from over 178,000 parcels, we classified coffee farms into three levels of intensification—low, medium, and high—based on biophysical, socioeconomic, and livelihood strategy indicators. …”
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Symptom severity and cognitive performance in patients with substance induced psychotic disorder and schizophrenia: a cross-sectional comparative study by Kaloyan Stoychev, Ivanka Veleva, Eleonora Mineva-Dimitrova, Petranka Chumpalova, Emiliya Dimitrova

“…Background and hypothesis: psychotic disorders induced by substances like marijuana, amphetamines and methamphetamines (SIPDs) are a growing mental health problem, yet the question do they represent a separate psychotic class independent from schizophrenia (SZ) still stands. …”
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Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

“…Traditional optimization techniques like Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) often struggle with the nonlinear, high-dimensional nature of EV-grid interaction problems. …”
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Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review by María de la Paz Scribano Parada, Fátima González Palau, Sonia Valladares Rodríguez, Mariano Rincon, Maria José Rico Barroeta, Marta García Rodriguez, Yolanda Bueno Aguado, Ana Herrero Blanco, Estela Díaz-López, Margarita Bachiller Mayoral, Raquel Losada Durán

“…ConclusionsEmerging technologies like VR and AI show promise for preclinical diagnostics, but thorough validation and regulation for clinical safety and efficacy are necessary. …”
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Role of brain cholecystokinin in neuronal homeostasis: rediscovering novel functions of an old neuropeptide by Santiago J. Ballaz

“…CCK is also released to modulate other neurotransmitters like dopamine and opioids when neuronal firing is intense during the processing of anxiety/fear, memory, and pain. …”
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Improving Cell Nuclei Segmentation in Pathological Tissues Using Self-Supervised Regression Method by Hesham Ali, Mostafa Hammouda, Mustafa Elattar, Sahar Selim

“…Recent advances in deep learning, specifically Convolutional Neural Networks (CNNs), have proven effective in processing digital pathology data. Yet, CNNs generally require extensive labeled datasets, often unavailable in medical imaging. …”
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Reduction of Carbon Footprint in Mechanical Engineering Production Using a Universal Simulation Model by Juraj Kováč, Peter Malega, Erik Varjú, Jozef Svetlík, Rudolf Stetulič

“…The paper thoroughly examines methodologies for data collection and processing, determination of emission factors, and categorization of emissions (Scope 1 and Scope 2), utilizing standards such as the GHG Protocol and associated databases. …”
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