Screening and validation of diagnostic markers for keloids via bioinformatics analysis by Ze Wang, Bo Hu, Wenfei Li, Tengxiao Ma, Lei Li

“…Drug small molecules and compounds were predicted online, and molecular docking was performed. …”
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Machine learning insights into scapular stabilization for alleviating shoulder pain in college students by Omar M. Mabrouk, Doaa A. Abdel Hady, Tarek Abd El-Hafeez

“…This study investigates the prediction of the impact of scapular stability exercises in treating non-specific shoulder pain, leveraging advanced machine learning techniques for comprehensive evaluation and analysis. …”
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ENDOCRINE PANCREATIC FUNCTION IN ACUTE PANCREATITIS by P. V. Novokhatny

“…Serological tests of pancreatic polypeptide promising for early diagnosis and prediction of the outcome of acute pancreatitis.…”
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Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning by I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

“…Based on testing, the best performance was obtained on the Decision Tree model with a hamming loss of 0.014, which indicates a very low prediction error rate per individual label.  A recall value of 99% indicates that the model is able to detect almost all positive labels correctly, and an F1-score of 98% indicates that the model has excellent and balanced performance, without bias against both positive and negative label predictions. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…DeepMol rapidly and automatically identifies the most effective data representation, pre-processing methods and model configurations for a specific molecular property/activity prediction problem. On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. …”
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Epigenetic age and fertility timeline: testing an epigenetic clock to forecast in vitro fertilization success rate by Davide Marinello, Marco Reschini, Giorgia Di Stefano, Giorgia Carullo, Maíra Casalechi, Letizia Tarantini, Benedetta Albetti, Valentina Bollati, Paola Viganò, Edgardo Somigliana, Letizia Li Piani

“…Conclusions Epigenetic clocks may enhance IVF success prediction, particularly in women between 31 and 35. …”
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Research on P2P streaming media identification based on UDP by Shi DONG, Gang WANG

“…Several popular P2P networks TV were studied,and their differences in port usage and packet size distribution were analyzed thoroughly.By observing the above characteristics,the conclusions that network TV application employs only one port to generate most of UDP traffic in one communicat period were summarized,and the UDP packet sizes in various network TV differ significantly.Thus,a method that can identify P2P application’s UDP traffic accurately and effectively was proposed based on extended flow records.Through identifying and verifying the five P2P streaming application traffic which was called Trace data collected from the backbone channel of CERNET (China education and research network) border in Jiangsu Province,and traffic identification results compared with machine learning algorithms show that the proposed method has a high precision rate and recall rate,high time efficient,and not susceptible to the impact of the proportion of the sample.…”
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Identification of urban infrastructure objects using the remote satellite sensing of traffic flows on streets with irregular traffic by A. A. Testeshev, T. G. Babich

“…During the studying of significant factors, the influence of variability in the population density and the capacity of general education facilities was investigated. Identification signs of educational institutions used in the interpretation of satellite images were obtained. …”
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Cognitive prerequisites for implementation of foreign verbal communication by Magdalyna V. Lyla

“…It is cognitive activity that is considered relevant for students to understand and use the language, despite their knowledge space and cognitive algorithms conditioned by the properties of the human psyche and the specific situation. …”
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Optimal QoM in Multichannel Wireless Networks Based on MQICA by Na Xia, Lina Xu, Chengchun Ni

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Artificial Intelligence in PR: Transformations of Communication Strategies and Campaigns by Maria Nikolova

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Professional Evolution of School Teacher on Basis of Advanced Pedagogical Experience by N. L. Sokolova

“…Sergeeva “Andragogical support of innovative activity of teachers in the system of professional development” states that this scientific work should be evaluated taking into account the state order for the formation and development of innovative educational infrastructure and building a new strategy of effective activity in the field of secondary, higher and additional education. …”
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The Clearing System of Mutual Settlements between Participants of the Innovation-Industrial Cluster by I. V. Novikova, V. V. Smelova, D. V. Sazonova

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Incel dan Konstruksi Gender dalam Interseksi Marginalisasi dan Ekspresi Radikal di X by Teguh Agum Pratama, Kevin Rasyid Sabili Nasution

“…The findings indicate the algorithms facilitate the radicalization of masculine identity and amplify radical expressions, underscoring the need for intervention through education and responsible social media regulation. …”
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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…Achieving intelligent prediction of roof pressure is of great significance for ensuring the safe production of mines. …”
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Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects by Maryam Yeganegi, Mahsa Danaei, Sepideh Azizi, Fatemeh Jayervand, Reza Bahrami, Seyed Alireza Dastgheib, Heewa Rashnavadi, Ali Masoudi, Amirmasoud Shiri, Kazem Aghili, Mahood Noorishadkam, Hossein Neamatzadeh

“…This review explores AI and machine learning (ML) in the early detection, prediction, and assessment of neural tube defects (NTDs) through prenatal ultrasound imaging. …”
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Diagnostic Value of F-FDG PET/CT Radiomics in Lymphoma: A Systematic Review and Meta-Analysis by Chaoying Liu MD, Jun Zhao PhD, Heng Zhang PhD, Xinye Ni PhD

“…Six meta-regressions were conducted on study performance, considering sample size, image modality, region of interest (ROI) selection, ROI segmentation, radiomics mode, and algorithms. Results In total, 20 studies classified as type 2a or above according to the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) statement were included for this systematic review and meta-analysis. …”
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Cystic Fibrosis Newborn Screening: A Systematic Review-Driven Consensus Guideline from the United States Cystic Fibrosis Foundation by Meghan E. McGarry, Karen S. Raraigh, Philip Farrell, Faith Shropshire, Karey Padding, Cambrey White, M. Christine Dorley, Steven Hicks, Clement L. Ren, Kathryn Tullis, Debra Freedenberg, Q. Eileen Wafford, Sarah E. Hempstead, Marissa A. Taylor, Albert Faro, Marci K. Sontag, Susanna A. McColley

“…Newborn screening for cystic fibrosis (CF) has been universal in the US since 2010; however, there is significant variation among newborn screening algorithms. Systematic reviews were used to develop seven recommendations for newborn screening program practices to improve timeliness, sensitivity, and equity in diagnosing infants with CF: (1) The CF Foundation recommends the use of a floating immunoreactive trypsinogen (IRT) cutoff over a fixed IRT cutoff; (2) The CF Foundation recommends using a very high IRT referral strategy in CF newborn screening programs whose variant panel does not include all CF-causing variants in CFTR2 or does not have a variant panel that achieves at least 95% sensitivity in all ancestral groups within the state; (3) The CF Foundation recommends that CF newborn screening algorithms should not limit <i>CFTR</i> variant detection to the F508del variant or variants included in the American College of Medical Genetics-23 panel; (4) The CF Foundation recommends that CF newborn screening programs screen for all CF-causing <i>CFTR</i> variants in CFTR2; (5) The CF Foundation recommends conducting <i>CFTR</i> variant screening twice weekly or more frequently as resources allow; (6) The CF Foundation recommends the inclusion of a <i>CFTR</i> sequencing tier following IRT and <i>CFTR</i> variant panel testing to improve the specificity and positive predictive value of CF newborn screening; (7) The CF Foundation recommends that both the primary care provider and the CF specialist be notified of abnormal newborn screening results. …”
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Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

“…This review aims to present the progress and perspectives on the effective utilization of novel machine learning paradigms for three major building energy management tasks, i.e., building energy predictions, fault detection and diagnosis, and control optimizations. …”
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