SITA: Predicting site-specific immunogenicity for therapeutic antibodies by Yewei Cun, Hao Ding, Tiantian Mao, Yuan Wang, Caicui Wang, Jiajun Li, Zihao Li, Mengdie Hu, Zhiwei Cao, Tianyi Qiu

“…Among these, nearly 66% antibodies successfully identified actual modification sites from the top five sites with the highest SITA scores, suggesting the ability of SITA scores for guide the humanization of antibody. …”
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Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems by Jamallah M. Zawia, Maizatul Akmar Binti Ismail, Mohammad Imran, Buce Trias Hanggara, Diva Kurnianingtyas, Silvi Asna, Quang Tran Minh

“…Meta-learning methods have emerged as a response to this challenge due to their ability to transfer prior knowledge to recommendation tasks. …”
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Advancements and Applications of STR Kits in Forensic DNA Profiling: A Comprehensive Review by Omar A Mahmoud, Mohammed A. Hameed, Shahrazad H. Muhi, Farah B. Abed, Sahar M. Ibrahim, Ibrahim Ramzi Hadi, Dunya A. Mohammed, Ruaa Maan Attallah

“…STR profiling is widely used due to its sensitivity, accuracy, and ability to analyze degraded DNA samples. Despite its advantages, challenges such as DNA mixture interpretation and environmental degradation persist. …”
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Comparing quantitative and qualitative verbal and social autopsy tools: does a qualitative supplement improve understanding of the social determinants of under-five deaths in the s... by Amy W Blasini, Peter Waiswa, Ann Wolski, Phillip Wanduru, Chelsea Finkbeiner, Ashura Bakari, Lucky Amutuhaire, Cheryl A Moyer

“…Qualitative interviews frequently included symptoms missing or denied in the quantitative VASA and clarified the chronological order of symptoms. …”
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Primary Schools’ Determinants of Pupils Academic Performance in Primary Leaving Examinations in Bubaare Sub-County Uganda. by Busingye, Annet

“…Education serves as a foundation for enhancing an individual’s ability to adapt to the ever-changing world. Private secondary schools significantly contribute to providing education for Ugandans. …”
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Seismic fault identification method based on CBAM-TransUNet by Xin WANG, Wei ZHANG, Tongjun CHEN, Ao ZHANG, Dang ZHAO

“…Conventional convolutional neural network (CNN) has limited sensory field and cannot make good use of the global information, which will lead to some predicted faults with insufficient continuity and missing faults, etc. Transformer has the advantage of extracting global information, and introduces the TransUNet network which is a fusion of CNN and Transformer to construct a CBAM- based seismic fault identification method. …”
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Assessing the Impact of Binary Systems on Microlensing Using SPISEA and PopSyCLE Population Simulations by Natasha S. Abrams, Jessica R. Lu, Casey Y. Lam, Michael S. Medford, Matthew W. Hosek Jr., Sam Rose

“…The Einstein crossing time distribution of single and single-peaked multiple events is better aligned with observed distributions from OGLE than singles alone, indicating that multiple systems are a significant missing piece between simulations and reality.…”
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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…Our workflow emphasizes the importance of well-structured preprocessing pipelines missing data handling, categorical feature encoding, and multicollinearity reduction, paired with classical machine learning models. …”
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Comprehensive phenotypic analysis of multiple gene deletions of α-glucan synthase and Crh-transglycosylase gene families in Aspergillus niger highlighting the versatility of the fu... by Katharina J. Ost, Mark Arentshorst, Bruno M. Moerschbacher, Mareike E. Dirks-Hofmeister, Arthur F.J. Ram

“…These observations underscore the ability of fungal cells to adapt and secure cell wall integrity, even when two entire cell wall protein-encoding gene families are missing.…”
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Prognostic value of the Geriatric Nutritional Risk Index in mortality prediction among critically ill acute myocardial infarction patients by Shanshan Tang, Chengcheng Wu, Yanbin Su, Yongle Li

“…Sensitivity analyses, including propensity score matching (PSM), inverse probability weighting (IPW), and dropping missing data analysis validated the robustness of findings. …”
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Lung Mesenchymal Stem Cells Ameliorate Elastase-Induced Damage in an Animal Model of Emphysema by Donato Cappetta, Antonella De Angelis, Giuseppe Spaziano, Gioia Tartaglione, Elena Piegari, Grazia Esposito, Loreta Pia Ciuffreda, Angela Liparulo, Manuela Sgambato, Teresa Palmira Russo, Francesco Rossi, Liberato Berrino, Konrad Urbanek, Bruno D’Agostino

“…Although with extensive research, the pathophysiology of emphysema is poorly understood and effective treatments are still missing. Evidence suggests that mesenchymal stem cells (MSCs) possess the ability to engraft the injured tissues and induce repair via a paracrine effect. …”
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A study on land use change simulation based on PLUS model and the U-net structure: A case study of Jilin Province by Jiafu Liu, Xiangli Kong, Yue Zhu, Baihao Zhang

“…It is more sensitive to short-term land use changes, but its generalization ability is constrained by sample size and balance. …”
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The Burden of Pain Symptoms in Individuals with Uterine Fibroids–Results from a Prospective Observational Study in the USA by Hunsche E, Marshall NJ, See JZ, Rakov VG, Levy B

“…Participants reported 31.5% work impairment on menstrual weeks versus a 12.7% work impairment on non-menstrual weeks.Conclusion: In this study, UF-associated pain symptoms coincided with a reduction in individuals’ ability to take part in both work and non-work activities and an increase in pain medication use, particularly during menstrual weeks. …”
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Predicting mortality in adults with suspected infection in a Rwandan hospital: an evaluation of the adapted MEWS, qSOFA and UVA scores by Jennifer Rickard, Amanda Klinger, Ariel Mueller, Tori Sutherland, Christophe Mpirimbanyi, Elie Nziyomaze, Jean-Paul Niyomugabo, Zack Niyonsenga, Daniel S Talmor, Elisabeth Riviello

“…The proportion of data missing for each variable ranged from 0% to 11.7%. …”
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Multi-Source, Fault-Tolerant, and Robust Navigation Method for Tightly Coupled GNSS/5G/IMU System by Zhongliang Deng, Zhichao Zhang, Zhenke Ding, Bingxun Liu

“…However, frequent multi-sensor faults, including missing alarm thresholds, uncontrolled error accumulation, and delayed warnings, hinder the adaptability of navigation systems to the dynamic multi-source information of complex scenarios. …”
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Cervical Cancer Prediction Based on Imbalanced Data Using Machine Learning Algorithms with a Variety of Sampling Methods by Mădălina Maria Muraru, Zsuzsa Simó, László Barna Iantovics

“…The obtained results show that resampling methods help improve the classification ability of prediction models applied to cervical cancer data. …”
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Harnessing machine learning for streamflow prediction: A comparative study of advanced models in the Upper Klang River Basin, Malaysia by Napisah Nasir, Dani Irwan, Ali Najah Ahmed, Saerahany Legori Ibrahim, Izihan Ibrahim, Mohsen Sherif, Ahmed El-Shafie

“…The study emphasizes model development, data preprocessing (such as imputing missing data with Kalman smoothing and selecting lagged inputs through autocorrelation analysis), and performance evaluation using statistical indicators. …”
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Association of obesity-related anthropometric indicators with chronic constipation and diarrhea among U.S. adults: a cross-sectional study by Yu Ning, Xiaoting Hu, Laifu Li, Yan Zhuang, Fei Dai

“…The final analysis included 13,105 participants after excluding those aged < 20 years or with missing data for any study variables. Bowel habits were categorized using the Bristol Stool Form Scale (BSFS). …”
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Comorbidity: a Modern View on the Problem; Classification (first notice) by Abrahamovych O., Fayura O., Abrahamovych U.

“…., which complicates the understanding of the problem and minimizes the ability to use scientific achievements in clinical practice. …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…Previously used in the NTCIR-16 (NII Testbeds and Community for Information Access Research) shared task for clustering performance competition, this dataset was ideal for comparing the clustering ability of our algorithm with those of previous methods. …”
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