Evaluation of swab materials in forensic DNA testing: a systematic review by Jillian Conte, Lauren A. Morgan, Tracey L. Johnson

“…Removal of duplicates and selection of articles were performed in Rayyan. Additional articles were identified in the bibliographies of initially selected articles. …”
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XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

“…To effectively classify the EEG signals induced by DRDS, we introduced a novel hybrid neural network model, XCF-LSTMSATNet, which integrates an XGBoost Channel Feature Optimization Module with the EEGNet and an LSTM Self-Attention Modules. Initially, in the channel selection phase, XGBoost is employed for preliminary classification and feature weight analysis, which can enhance our channel selection strategy. …”
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NfκBin: a machine learning based method for screening TNF-α induced NF-κB inhibitors by Shipra Jain, Ritu Tomer, Sumeet Patiyal, Gajendra P. S. Raghava

“…Chemical descriptors were computed using the PaDEL software, and relevant features were selected using advanced feature selection techniques.ResultInitially, machine learning models were constructed using 2D descriptors, 3D descriptors, and molecular fingerprints, achieving maximum AUC values of 0.66, 0.56, and 0.66, respectively. …”
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Scholarly activity in Canadian Residency Matching Service criteria: do Canadian programs really care about applicant research? by Asil El Galad, Hanna Van Dierdonck, Nikesh Chander, Caleb Mathai, Alyssa Palmateer, Shenna Dunn, Seddiq Weera, Larry W Chambers, Amanda Bell

“…Programs commonly mentioned scholarly activity in two or three sections of their selection criteria, with key themes including active scholarly work, scholarly deliverables, and future scholarly potential. …”
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Multi-core Fiber Resource Allocation Algorithm based on Crosstalk and Fragmentation by YANG Haoyu, REN Danping, DENG Yujing, HU Jinhua, ZHAO Jijun

“…【Methods】In the path selection stage, to avoid the emergence of “bottleneck paths” and balance the use of resources in network links, the K Shortest Paths (KSP) algorithm is used to improve the path selection strategy by combining path nodes, path length and spectrum resource usage. …”
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AWGE-ESPCA: An edge sparse PCA model based on adaptive noise elimination regularization and weighted gene network for Hermetia illucens genomic data analysis. by Rui Miao, Hao-Yang Yu, Bing-Jie Zhong, Hong-Xia Sun, Qiang Xia

“…Secondly, to the best of our knowledge, there are no Artificial Intelligence (AI) feature selection models designed specifically for Hermetia illucens genome. …”
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COMPARATIVE CHARACTERISTICS OF BIOMATERIALS FOR THE REPLACEMENT OF JAW BONE DEFECTS AND THEIR ROLE IN THE PREVENTION OF INFLAMMATORY COMPLICATIONS by V.M. Havryliev, A.V. Kopchak, N.B. Kuzniak, D.V. Steblovski, O.A. Toropov, P.I. Yatsenko

“…Based on the obtained data, we developed an algorithm for the selection and application of biomaterials in oral surgery: precise selection of the type of bone substitute based on the anatomical and functional characteristics of the defect; individualized implant preparation, including surface modification; and the use of bioactive matrices containing growth factors and structural analogues of the extracellular matrix. …”
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Genetic Basis of Reproductive Isolation in Torrey Pine (Pinus torreyana Parry): Insights From Hybridization and Adaptation by Lionel N. Di Santo, Alayna Mead, Jessica W. Wright, Jill A. Hamilton

“…If this locus experiences divergent selection in the two natural populations, it could promote their reproductive isolation. …”
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Genetic analysis of the hybrid rice population ‘Mavr × Kontakt’ by P. I. Kostylev, E. V. Krasnova, G. A. Sirapionov

“…In the process of hybridological analysis there have been identified the patterns of inheritance of the main quantitative traits affecting productivity; there have been identified the best samples, in which formed compact erect panicles and black kernels; there has been selected the initial material for breeding work. The study was carried out in 2020 on the plots of the ES “Proletarskoye” in the Rostov region. …”
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ESTIMATION OF PROTONATION ABILITY OF SOME ORGANIC BASES BY THEIR STRUCTURAL FORMULAE by R. A. Osipov, N. S. Rukk, M. I. Skvortsova, V. V. Zamalyutin, A. Yu. Skryabina

“…Different training and test sets obtained by means of multiple random halving the initial set of compounds have been used to desigh these models. …”
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Induction of Manduca sexta Larvae Caspases Expression in Midgut Cells by Bacillus thuringiensis Cry1Ab Toxin by Helena Porta, Carlos Muñoz-Minutti, Mario Soberón, Alejandra Bravo

“…Bacillus thuringiensis produces crystal toxins known as Cry that are highly selective against important agricultural and human health-related insect pests. …”
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Optimization of ore production scheduling strategy using NSGA-II-GRA in open-pit mining by ZhongQiang Chen, PingCheng Song, RunHan Liu, Qi Wang, YuMeng Shen

“…Then, the Non-dominated Sorting Genetic Algorithm II with Grey Relational Analysis (NSGA-II-GRA) is employed for an initial solution to obtain the preliminary Pareto-optimal solution set. …”
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A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects by Jie-zhong Huang, Jian Yang, Dong-sheng Li, Wei-chen Kong, Ya-fei Wang

“…The Gaussian mixture model (GMM) based method is an effective solution, but challenges such as selecting initial model parameters and determining the optimal number of Gaussian components can hinder its performance. …”
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Parenteral anticoagulants in the treatment of acute coronary syndrome: what modern clinical guidelines say by I. S. Yavelov

“…Parenteral administration of high (therapeutic) doses of anticoagulants is a mandatory component of the initial treatment of acute coronary syndrome (ACS) unless contraindicated. …”
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STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning by Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo

“…STGLR employs a dynamic graph learning module to infer the initial relationships among telemetry variables. It then constructs a spatio-temporal feature extraction module to capture complex spatio-temporal dependencies among variables, leveraging a graph sample and aggregation network to learn embedded features and incorporating an attention mechanism to adaptively select salient features. …”
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Parametric study of permanent magnet eddy current brake considering demagnetization, temperature, edge, and skin effects: Numerical and experimental investigation by Hussein Hassanpour, Salman Ebrahimi-Nejad, Morteza Mollajafari

“…Also, the parametric analysis results show that an aluminum disc is better than other selected materials, and increasing the disk’s radius produces more braking torque than increasing its thickness. …”
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Paesaggi naturali e digitali nelle azioni di "Kollektivnye Dejstvija" by Roberta Sala

“… The present article examines the aesthetic evolution of liminal spaces in the actions of the Moscow Conceptualist group Kollektivnye Dejstvija (Collective Actions), analysing them as material semiotic borders between different communicative domains. The initial Soviet phase of the group began in 1976, while in 1989 the collective broke up. …”
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Research on the Capability Maturity Evaluation of Intelligent Manufacturing Based on Firefly Algorithm, Sparrow Search Algorithm, and BP Neural Network by Li Shi, Xuehong Ding, Min Li, Yuan Liu

“…Aiming at the problem that the BP neural network is sensitive to initial weights and thresholds, the sparrow search algorithm (SSA) is used to optimize the initial weights and thresholds of the BP neural network. …”
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Related Factors and a Threshold of the Maximum Neuron-Specific Enolase Value Affecting the Prognosis of Patients with Aneurysmal Subarachnoid Hemorrhage by Hao Zhao, Feng Shang, Meng Qi, Yueqiao Xu, Ning Wang, Xin Qu

“…A total of 259 patients admitted following aSAH were treated by appropriate methods. Initial neurological severity was evaluated by using the initial Glasgow coma scale and Hunt–Hess grades. …”
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ANALYSIS OF PROGNOSTIC RISK FACTORS OF BLOODSTREAM INFECTIONS IN BEIJING COMMUNITIES: A RETROSPECTIVE STUDY FROM 2015 TO 2019 by Yan Liu, Beichen Cui, Chunmei Pi, Xiaohong Yu, Zhiwei Liu, Xiang Li, Liping Ma, Cong Wang

“…The results of this study show that solid tumors, combined septic shock, indwelling catheters and hemodialysis treatment are independent risk factors affecting the prognosis of COBSI patients. Reasonable initial antibiotic therapy is a protective factor affecting the prognosis of COBSI patients. …”
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