Exploring the utility of unretouched lithic flakes as markers of cultural change by Manuel Will, Hannes Rathmann

Get full text

Detection of Plants Leaf Diseases using Swarm Optimization Algorithms by Saud Abdul Razzaq, Baydaa Khaleel

“…Classification is widely and largely used in data analysis, and pattern recognition. The data analysis aims to discover similarities between them and group them based on similarity into multiple classes. …”
Get full text

Assessment of Water Poverty Index (WPI) Under Changing Land Use/Land Cover in a Riverine Ecosystem of Central India by Girish Kumar, M. M. Singh, Dheeraj Kumar Singh, Bal Krishan Choudhary , Vijay Kumar Singh Rathore and Pramod Kumar

“…Watershed Development is a very common phenomenon in the river basins in India due to its dynamic and continuously changing nature, which are interconnected via. …”
Get full text

LcTRB1, a telomere repeat binding protein, enhances litchi seed development under low temperature by triggering the transcription of LcASHR1 by Zhi-Chan Liao, Dan-Rong Xie, Alam Intikhab, Fang Qiao, Farhat Abbas, Ren-Fang Zeng, Xu-Ming Huang, Hui-Cong Wang

“…The seed development is a crucial step in ensuring a healthy fruit set, and the ultimate seed size is a significant quality feature in fruit crops. …”
Get full text

A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu, Xiaolong Wang

“…What distinguishes this research is its incorporation of a GOA–FMD and a Transformer-based attention mechanism for pattern recognition into a unified and efficient diagnostic framework. …”
Get full text

Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network by Devansh Tikariha, Abdul Moomin, D. Jeyamani, P. Rukmani

“…Using a QCNN, this model harnesses the ability of quantum computing to represent high-dimensional data transformations, a novel approach that complements classical CNN layers by exploring patterns that are not captured in traditional networks. …”
Get full text

Study on fracture and stress variation characteristics of overlying rock with weakly consolidated gravel layer by Chuang ZHANG, Pan DU, Jianchong CHEN, Xinyu YAO, Bo WANG, Yumo YANG, Zhanling LI, Yaorong MA, Zhenkun CHANG, Liangke XU

“…The strain response in the gravel layer follows a distinct “slow increase - rapid increase - sharp decrease-stabilization” pattern, with failure progressing of “stratified fracture, rotation, and compression into hinged rock blocks”. …”
Get full text

Morphosyntactic production and processing skills in relation to age effects and lexical-phonological levels among children with cochlear implants and typically hearing peers: a foc... by Sophie Fagniart, Sophie Fagniart, Brigitte Charlier, Brigitte Charlier, Véronique Delvaux, Véronique Delvaux, Véronique Delvaux, Bernard Georges Harmegnies, Bernard Georges Harmegnies, Bernard Georges Harmegnies, Anne Huberlant, Myriam Piccaluga, Myriam Piccaluga, Kathy Huet, Kathy Huet

“…Despite this, CI users showed distinct patterns of function word use, with fewer complex forms and more frequent errors, likely reflecting the perceptual challenges linked to CI. …”
Get full text

Intergenerational transmission of values in the modern multicultural world by B. A. Vyatkin, V. Yu. Khotinets, O. V. Kozhevnikova

“…Models of the intergenerational transmission of values of mothers and adolescents have been constructed and explained revealing the patterns of the transfer of cultural experience in multicultural regions of the Russian Federation.Theoretical significance of the obtained results lies in the possibility of expanding the existing knowledge about the features of the digital generation socialisation in the context of traditional inculturation, about the transformation of the social situation of the development of a growing person in the focus of a new reality and the possibility of interaction between generations of “different worlds”.Practical significance of the acquired knowledge is revealed in the possibility of using it for constructing modern concepts of education and development of psychological and pedagogical technologies for socialising a growing person in the context of epoch-making trends.…”
Get full text

Improving outcomes for people with autism spectrum disorders by reducing mental health problems: the IAMHealth research programme including one RCT by Emily Simonoff, Gillian Baird, Bryony Beresford, Tony Charman, Martin Knapp, Andrew Pickles, Carol Povey, Tom Purser, Paramala Santosh, Vicky Slonims, Stephen Scott

“…Objective(s) We aim to improve identification of mental health problems by developing a tool for clinical use, which can also be used to monitor treatment response. …”
Get full text

An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

“…An agent-based model (ABM) is developed to analyze the dynamic risks and vulnerabilities of population and building agents under different rainfall scenarios, capturing macroscopic emergent patterns from individual behavior rules and analyzing them in both time and space dimensions. …”
Get full text

Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations by Lin Ye, Xiaohui Chen, Haiyan Liu, Ran Zhang, Bing Zhang, Yunpeng Zhao, Dewei Zhou

“…However, this approach often overlooks the crucial significance of the spatial dependency relationships among trajectory points, posing challenges for comprehensively capturing the intricate features of vessel travel patterns. To address this limitation, our study introduces a novel multi-graph fusion representation method that integrates both trajectory sequences and dependency relationships to optimize the task of vessel type recognition. …”
Get full text

Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…This model uses self-attention mechanics to improve spatial connections between single scales and cross-attention to automatically match feature patterns across multiple scales, thereby developing a comprehensive information structure. …”
Get full text

Genome-Wide Dissection of Sorghum B3 Transcription Factor Family Identifies SbLAV1 as a Critical Transcriptional Regulator of Starch Biosynthesis in Developing Sorghum Grains by Xiangling Gong, Jing Li, Zheyu Yan, Anqi Sun, Yi Zheng, Min Yin, Qianlin Xiao, Zhizhai Liu

“…Sorghum (<i>Sorghum bicolor</i> L.) is the fifth largest cereal crop in the world and widely used in the fields of food, feed, brewing, and fuel, while knowledge is mostly limited for sorghum grain development, including starch biosynthesis. B3 family transcription factors (TFs) play a crucial role in plant development, including grain development, dormancy, and storage of nutrients. …”
Get full text

Development of an enzyme-linked immunosorbent assay for the efficient detection of autoantibodies against nuclear valosin-containing protein-like protein (NVL) 2 using its manipula... by Mariko Ogawa-Momohara, Yoshinao Muro, Masashi Akiyama, Yasuhiro Kondoh, Yasuhiko Yamano, Yuta Yamashita, Haruka Koizumi, Satoshi Kamiya, Norika Akashi, Takuya Takeichi

“…To clarify the clinical features of anti-NVL2 antibody-positive patients, we developed an ELISA for measuring antibodies against NVL2, a major target of autoantibodies against NVL.Methods Sera from 1676 patients with various conditions were included. 167 anti-nucleolar antibody (ANoA)-positive sera, 120 ANoA-negative sera and 17 healthy control sera were examined by an ELISA that uses the recombinant protein of NVL2 derived from its gene-manipulated complementary DNA clone (modified NVL2 (mNVL2)).Results 18 ANoA-positive sera subjected to indirect immunofluorescence (IIF) were positive for anti-mNVL2 ELISA. …”
Get full text

Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…First, experiments showed that ensemble machine learning models such as CatBoost and Gradient Boosting addressed static features effectively, while time-dependent patterns proved more challenging to predict. …”
Get full text

Somatoform disorders. The first part: integrative model f pathology by A. A. Pribytkov, A. N. Erichev

“…Predisposing factors (genetic predisposition, disturbance of neurotransmitters’ metabolism, misbalance of immune and endocrine systems, as well as personality’s typology), perpetuating factors (cognitive features, low opportunity of coping, abnormal behavior patterns, features of emotional response), precipitating factors (stress, social influence) were emphasized. …”
Get full text

Integrating Spatiotemporal and Travel-Related Information for Accurate Urban Passenger Profiling Using GANs by Xiaoqi Duan, Jianbing Yang, Sha Yu, Youliang Tian

Get full text

Advancing digital soil mapping with multi-year crop cover data: Impacts on model accuracy and soil interpretation by Babak Kasraei, Margaret G. Schmidt, Daniel D. Saurette, Chuck E. Bulmer, Jin Zhang, Travis Pennell, Kingsley John, Brandon Heung

Get full text

Examining Teachers’ Professional Learning in an Online Asynchronous System: Personalized Supports for Growth and Engagement in Learning to Teach Statistics and Data Science by Hollylynne S. Lee, Emily Thrasher, Gemma F. Mojica, Bruce M. Graham, J. Todd Lee, Adrian Kuhlman

“…In this study, we used a case study with both quantitative and qualitative data to examine whether teachers had gains in meeting learning goals related to their development in teaching statistics and data science, had sustained engagement, and found the features for personalization supportive for their learning. …”
Get full text