Microergonomics in Higher Education: A Synthesis Research Approach by farshad arghavani, khalil gholami, yadolah zarezadeh

“…Background and Aim: The purpose of this study was to identify the components and methods of microergonomics used in higher education in the studies conducted in this field by the method of synthesis. …”
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LABORATORY SETTING FOR TESTS OF STANDARDS ON TIREDNESS BY MEANS OF BIHARMONIC LADENING by V. N. Busko

“…Installation and testing of samples by the method of independent regulation of dual-frequency cyclic loading allows to simulate the condition of the test sample in the approximation to the real working conditions. …”
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Eco-friendly synthesis of copper sulphide nanoparticles using rice starch water and their photocatalytic application for Congo red dye degradation by Nitin Mishra, U.P.S. Gahlaut, Y.C. Goswami

“…For instance, the 1:1 Cu: S ratio sample (Sample A) produced larger, denser clusters, while those prepared using greater sulfur content—Samples B (1:4) and C (1:7)—were more porous and layered in shape. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…By addressing the challenge of insufficient disease samples, this method significantly improves the disease recognition capabilities of object detection models. …”
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Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques by Hesham Kamal, Maggie Mashaly

“…However, existing benchmark datasets for intrusion detection typically contain more normal traffic samples than attack samples to reflect real-world network traffic. …”
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Deep‐NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data by Gengbo Liu, Logan Brooks, John Canty, Dan Lu, Jin Y. Jin, James Lu

“…This study advances the application of DL to PK studies and introduces an effective method for handling sparse PK data. With further validation and refinement, Deep‐NCA could significantly enhance the efficiency of drug development by providing more accurate NCA estimates while requiring fewer PK samples.…”
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Isolation and identification of gray mold pathogens on roses in Yunnan area by ZHANG Shuangyan, MENG Jing, HAN Yanglin, WU Hongzhi

“…The pathogens were isolated and purified by pouring plate method. The morphological and microscopic characteristics observation of colonies of pathogens were carried out by traditional morphological identification method, and ITS and PRB2 gene analysis was combined to construct a phylogenetic tree for molecular biological identification. …”
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Kernel Negative ε Dragging Linear Regression for Pattern Classification by Yali Peng, Lu Zhang, Shigang Liu, Xili Wang, Min Guo

“…Then, the data is implicitly mapped into a high dimensional kernel space by using the nonlinear mapping determined by a kernel function to make the data more linearly separable. Finally, our obtained KNDLR method is able to partially alleviate the problem of overfitting and can perform classification well for noised and deformable data. …”
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Molecular Identification and Genetic Characteristics of Genus Mystacoleucus Based on Gene Cytochrome Oxidase C Subunit I (COI) in Sengguruh Dam by Fitri Sil Valen, Maheno Sri Widodo, Yuni Kilawati

“…Therefore, it is necessary to apply a more accurate identification method, which is a DNA-based identification method called DNA barcoding. …”
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Increasing Minority Recall Support Vector Machine Model for Imbalanced Data Classification by Chunye Wu, Nan Wang, Yu Wang

“…When the boundary reaches a certain position, the minority class samples will be more generalized to achieve the requirement of a recall rate of 1. …”
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Compositionally Disordered Doped with Cerium Crystalline Garnet Type Materials for Brighter and Faster Scintillations by M. V. Korzhik

“…The aim of this work was to evaluate the scintillation yield in the materials of quaternary garnets activated by cerium ions with partial isovalent substitution of the matrix-forming gadolinium ions by yttrium or lutetium ions.Materials were obtained in the form of polycrystalline ceramic samples, and the best results were shown by samples obtained from the raw materials produced by the coprecipitation method. …”
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A novel expectation-maximization approach to infer general diploid selection from time-series genetic data. by Adam G Fine, Matthias Steinrücken

“…However, many examples of genetic variation exhibiting non-additive mechanisms exist, making it critical to develop methods that can characterize selection in more general scenarios. …”
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Rolling Bearing Fault Diagnosis via Temporal-Graph Convolutional Fusion by Fan Li, Yunfeng Li, Dongfeng Wang

“…Experiments demonstrated that the proposed method significantly improved fault recognition accuracy under small-sample scenarios. …”
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Time-varying harmonic impedance estimation based on locally-geographically weighted regression by XU Fangwei, XIE Pei′ang, WANG Chuan, LIU Kai, GUO Kai, FAN Lijuan

“…For the time interval between two sample points, large numerical value probably gives rise to more conspicuous difference between the impedance and the background harmonics at the corresponding time. …”
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Adaptive Gaussian back-end based on LDOF criterion for language recognition by Zhong-fu YE, Ting QI, Sai-feng LI, Yan SONG

“…In order to alleviate the mismatch in model between training and testing samples caused by inter-language variations,adaptive Gaussian back-end based on LDOF criterion was proposed for language recognition.The local distance-based outlier factor (LDOF) criterion was defined to find the appropriate model parameters and dynamically select the training data subset similar to the testing samples from multiple class training sets.Then original back-end was adjusted to obtain a more matched recognition model.Experimental results on NIST LRE 2009 easily-confused language data set show that proposed method achieves an obvious performance improvement on both the equal error rate (ERR) and average decision cost function.…”
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Exploring inconsistencies in environmental impact assessments of organic farming by Hikaru Komatsu, Jeremy Rappleye

“…This brief communication article reveals that the disparities between these meta-analyses stem from differences in averaging methods and sample sizes. The 2023 meta-analysis, employing a more robust averaging method and a larger sample size, suggests that researchers should incorporate the 2023 findings into their investigations, potentially necessitating a reconsideration of agricultural policies and dietary choices to align with updated environmental impact assessments.…”
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Numerical/experimental investigation of energy absorption and compressive properties in 3D-printed bi/multi-material polymeric metamaterials by Shokouh Dezianian, Mohammad Azadi

“…FESEM images showed defects caused by filament evaporation, filament production methods, and manufacturing methods. The compressive testing data indicated that metamaterials had more favorable properties than solid structures. …”
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Mechanical and Water Absorption Characterization of Mango Seed Shell/Epoxy Composite for Low Load Carrying Structures by K. Mohan Kumar, Venkatesh Naik, Sunil S. Waddar, N. Santhosh, Vijayanand Kaup, H. V. Harish

“…Results revealed that the tensile strength of M-20 (20 vol. %) is 43% more than a neat epoxy, while the flexural strength of M-50 (50 vol. %) is greater than 10.85% more than a neat epoxy. …”
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Resolving prokaryotic taxonomy without rRNA: longer oligonucleotide word lengths improve genome and metagenome taxonomic classification. by Eric B Alsop, Jason Raymond

“…Tetranucleotide signatures have been especially useful in environmental metagenomics samples as many of these samples contain organisms from poorly classified phyla which cannot be easily identified using traditional homology methods, including NCBI BLAST. …”
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The long-term average spectrum in forensic phonetics: From collation to discrimination of speakers by Jordi Just Alcaraz

“… The present work aims to provide more data regarding the comparison and discrimination of speech samples in the field of forensic phonetics. …”
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