Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network by Yeqi Fei, Zhenye Li, Tingting Zhu, Zengtao Chen, Chao Ni

“…To further ensure the feasibility and practical application potential of this strategy, we compare our results against existing mainstream methods. In addition, the model shows excellent recognition performance on pseudo-color images of real samples. …”
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From stool to sequence: decoding the human diet with FoodSeq by Dorothy K. Superdock, Brianna L. Petrone, Michelle C. Kirtley, Lawrence A. David

“…DNA metabarcoding, a method that identifies many taxa at once using a short region of DNA, has recently been adapted for use in stool samples from free-living humans. …”
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Transferability of Model-Based Static Coefficient of Friction by Jonathan Schanner, Friedemann Reiß, Erhard Leidich, Alexander Hasse

“…This research offers a method to enhance the accuracy and transferability of COF values from lab tests to practical applications, providing engineers with a more reliable approach to friction testing.…”
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MoCoUTRL: a momentum contrastive framework for unsupervised text representation learning by Ao Zou, Wenning Hao, Dawei Jin, Gang Chen, Feiyan Sun

“…Firstly, MoCoUTRL employs multi-granularity semantic contrastive learning objectives, enabling a more comprehensive understanding of the semantic features of samples. …”
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Quality Management Structure Supported by Information Technology (A Survey in Central Insurance of Iran) by Saeed safari, Safieh shirzad, Hassan khalili

“…The research is an applied one, using correlation method. The population of the research includes the personnel of the organization of Central Insurance of Iran which are more involved by using information technology. …”
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GAUDI: interpretable multi-omics integration with UMAP embeddings and density-based clustering by Pol Castellano-Escuder, Derek K. Zachman, Kevin Han, Matthey D. Hirschey

“…GAUDI uncovers non-linear relationships among different omics data better than several state-of-the-art methods. This approach not only clusters samples by their multi-omic profiles but also identifies latent factors across each omics dataset, thereby enabling interpretation of the underlying features contributing to each cluster. …”
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A multimodal educational robots driven via dynamic attention by An Jianliang, An Jianliang

“…Res-ALBEF enhances the ALBEF (Align Before Fuse) method by incorporating residual connections to align visual and textual data more effectively before fusion. …”
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Shear Characteristics of Cement-Stabilized Sand Reinforced with Waste Polyester Fiber Fabric Blocks by Xiangfeng Lv, Hongyuan Zhou

“…In summary, this study presented a low-cost and environment-friendly method for reinforcing cement-stabilized sand.…”
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Influence of Climate Change Communication on Responsible Environmental Behaviour among Residents of Niger State by Andrew Hyacinth Ngene

“…The study was guided by four research objectives with survey as the method of enquiry, while the questionnaire served as the instrument for data collection. …”
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Trade-off between gradient measurement efficiency and expressivity in deep quantum neural networks by Koki Chinzei, Shinichiro Yamano, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima

“…Numerical experiments show that the SLPA drastically reduces the sample complexity needed for training while maintaining accuracy and trainability compared to well-designed circuits based on the parameter-shift method.…”
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Positive Self-Talk: an Unexploited Self-Management Cognitive-Motivational Strategy at the University Level and Its Effect on Students’ Oral Performances. by Meriem BOULKRAA

“…Then, it displays how positive self-talk has a vital importance for students, through the analysis of a questionnaire carried out on a sample of first-year ENSC students. Results reveal that positive self-talk as a cognitive-motivational method is, to a great extent, efficacious and successful in bolstering up students’ oral performance/achievement. …”
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Standards for reporting optical biosensor experiments (STROBE): Improving standards in the reporting of optical biosensor-based data in the literature by Paul E. Belcher, Anna Moberg, Michael B. Murphy

“…Critical information typically missing includes sample preparation, method settings, and data evaluation details. …”
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Analysis of Factors That Contribute to The Formation of Academic Hardiness of University Students by Fadhil Muhammad, Cece Rakhmat, Nandang Rusmana, Ipah Saripah

“…The research sample consisted of 500 students spread across three state universities in West Sulawesi province. …”
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Enforcing Grammar in Code Synthesis with Transformers by Dmytro Vitel, Stephen Steinle, John Licato

“…Even more so than natural language, code is extremely sensitive to syntax; a small error could make an entire snippet invalid. …”
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THE ANALYSIS OF ECOLOGIC PRODUCTS CONSUMPTION AND CONSUMER. CASE STUDY. by Andrei Radu IOVA, Daniela CREŢU

“…As a research method, the quantitative study was made through the questionnaire, applied face to face by interviewers. …”
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Is digital finance always beneficial to accounting information transparency? Evidence from China by Xingqiang Du, Jing Hong, Hexin Tao, Yongkui Zhang

“…Using a sample of Chinese listed firms over 2011–2020, this study examines the impact of digital finance on accounting information transparency. …”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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Evaluation and Analysis of the Level of Political Awareness about FATF by Ali Bagheri Dolatabadi

“…Research hypothesis emphasizes students› awareness of the subject of research. A survey method was used to measure this issue. Using the Cochran formula, the sample size was 400 people and 24 Closed questions were given to them. …”
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A study of nonlinear pedagogical teaching models for cognitive and affective development of elementary school students by Hari Yuliarto

“…This research aims to advance the psychomotor, cognitive, and affective abilities of elementary school students through a nonlinear pedagogical approach. The method adopted is research and development which combines quantitative and qualitative analysis. …”
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