Combining methylated RNF180 and SFRP2 plasma biomarkers for noninvasive diagnosis of gastric cancer by Zhihao Dai, Jin Jiang, Qianping Chen, Minghua Bai, Quanquan Sun, Yanru Feng, Dong Liu, Dong Wang, Tong Zhang, Liang Han, Litheng Ng, Jun Zheng, Hao Zou, Wei Mao, Ji Zhu

“…Materials & Methods: A total of 165 healthy individuals, 34 patients with precancerous gastric lesions, and 104 patients with confirmed GC were divided into training and validation sets; methylated RNF180 and SFRP2 were detected in circulating DNA from blood samples. Six models, including those based on logistic regression, Naive Bayes, K-nearest neighbor algorithm, glmnet, neural network, and random forest (RF) were built and validated. …”
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RECOMMENDED TACTICS FOR THE EVALUATION OF POTENTIALLY MALIGNANT DISORDERS IN THE ORAL CAVITY by S.V. Kolomiiets, K.O. Udaltsova, V.I. Shynkevych

“…Those involve whole series of redirections of the patient among dentists themselves, before referring to the really necessary specialist, and it represents a negative item in the organization. In contrast to the algorithm provided by the Ministry of Healthcare of Ukraine, doing an immediate biopsy in patients with a suspicious oral lesion – or referring a patient to a specialist who can do that – remains the only most important recommendation made by the American Dental Association (ADA) in their updated clinical practice guidelines for the evaluation of potentially malignant disorders in the oral cavity. …”
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Spatial and temporal variation of malaria incidence in children under 10 years in a pyrethroid-resistant vector area in southern Benin by Edouard Dangbenon, Mintodê Nicodème Atchadé, Martin C. Akogbéto, Mahouton N. Hounkonnou, Landry Assongba, Hilaire Akpovi, Manisha A. Kulkarni, Natacha Protopopoff, Jackie Cook, Manfred Accrombessi

“…Incidence values by month were aggregated with meteorological data; and demographic data were merged to detect cross-correlation between incidence and meteorological variables. …”
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Phasic and periodic change of drought under greenhouse effect by Yang Li, Zhicheng Zheng, Yaochen Qin, Haifeng Tian, Zhixiang Xie, Peijun Rong

“…Purpose – Drought is the primary disaster that negatively impacts agricultural and animal husbandry production. …”
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Evaluating the Pattern of Forest Cover Changes Using Fuzzy Object-Oriented Techniques (Case Study: Kaleybar County) by Majid Pishnamaz Ahmadi, keyvan Mohammadzadeh, seyed Asadolah Hejazi

“…The difference was that forest lands have declined with negative gradient, and consequently, inferior lands have increased with positive gradient. …”
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Clusters from chronic conditions in the Danish adult population. by Anders Stockmarr, Anne Frølich

“…We find that subdivision into municipality levels suggests that the Allergies cluster frequency is positively associated with socioeconomic status, while the subdivision suggests that frequencies for clusters Diabetes and Hypercholesterolemia are negatively correlated with socioeconomic status. We detect no indication of association to socioeconomic status for the Chronic Heart Conditions cluster and the Musculoskeletal and Psychiatric Conditions cluster. …”
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Tactical features of the scene inspection in the investigation of the taking of a government official or law enforcement officer as a hostage by O. Yu. Prokopenko

“…However, in the course of the study of scientific findings, the absence of methodological recommendations for investigating this crime has been established, which negatively affects the state of combating crime. In particular, the investigation methodology includes recommendations on the specifics of certain investigative (detective) actions, the primary of which is the inspection of the scene. …”
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Prediction of Therapeutic Response and Prognosis in Ovarian Cancer Patients With Plasma Circulating Biomarkers by Haixia Cheng, Guangwen Yuan, Leilei Liang, Tiantian Wang, Jiarun Zhu, Hongying Yang, Zhendiao Zhou, Pei Wang, Qianqian Song, Yuchen Jiao, Mei Liu, Lingying Wu

“…Results A ctDNA decrease of ≥ 80% from baseline or ctDNA negativity during treatment detected by the TICA (defined as favorable TICA changes) strategy before the third cycle predicted the best overall response, with 81.8% sensitivity and 84.6% specificity. …”
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The Relationship Between Novel Inflammatory Markers and Serum 25‐Hydroxyvitamin D Among US Adults by Hang Zhao, Yangyang Zhao, Yini Fang, Weibang Zhou, Wenjing Zhang, Jiecheng Peng

“…To further explore the relationship between the two, we applied smooth curve fittings and generalized additive models. Upon detecting nonlinear relationships, we used a recursive algorithm to pinpoint the inflection point. …”
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Using mixture and exposome methods to assess the associations and interactions of chemical biomarkers with semen parameters by Maximilien Génard-Walton, Charline Warembourg, Paige L. Williams, Irene Souter, Jennifer B. Ford, Jorge E. Chavarro, Russ Hauser, Lidia Mínguez-Alarcón

“…We detected one interaction between urinary triclosan and butylparaben in relation to normal sperm morphology using NLinteraction. …”
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Aperiodic activity as a biomarker of seizures and neuromodulation by David Satzer, Lesley C. Kaye, Steven G. Ojemann, Daniel R. Kramer, John A. Thompson

“…Recordings containing clinician-annotated seizures, stimulation triggered by device-detected interictal epileptiform activity (IEA), and stimulation-free interictal periods were analyzed. …”
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Characterization, expression patterns of molt-inhibiting hormone gene of Macrobrachium nipponense and its roles in molting and growth. by Hui Qiao, Fengwei Jiang, Yiwei Xiong, Sufei Jiang, Hongtuo Fu, Fei Li, Wenyi Zhang, Shengming Sun, Shubo Jin, Yongsheng Gong, Yan Wu

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Efficient Deep Learning Models Revolutionize Doctor’s Training for Point-of-Care Ultrasound by Hsin-Hung Chou, Yi-Chung Chang, Wan-Ching Lien, Lung-Chun Lin, Xing-Zheng Lin, Ting-En Hsu, Yueh-Ping Liu, Li Liu, Yen-Ting Chan, Feng-Sen Kuan

“…This study aims to develop a deep learning (DL) model for detecting and localizing PCE and to investigate the learning efficacy of using this model as an adjunct in PoCUS training. …”
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Identification and Validation of Key Genes Related to Lipophagy in Osteoporosis by Hu YX, Zuo ML, Wu Y, Yang Y, Shi XB, Zhang Q, Wu J, Xie RQ, Bi Y, Lin B, Mo C

“…Finally, quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression levels of key genes.Results: Eight signature genes were identified by machine learning. …”
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