Fitting Time Series Models to Fisheries Data to Ascertain Age by Kathleen S. Kirch, Norou Diawara, Cynthia M. Jones

“…Assigning age relies on validating putative annual marks by evaluating accretional material laid down in patterns in fish ear bones, typically by marginal increment analysis. …”
Get full text

Characteristics of stratified coal reservoirs in Liupanshui coalfield of Guizhou Province and exploration and development direction of coalbed methane by QIU Wenci, SANG Shuxun, GUO Zhijun, HAN Sijie, ZHOU Xiaozhi, ZHOU Peiming, WU Zhangli, SANG Guoyun, ZHANG Binbin, GAO Wei

Get full text

Molecular mechanism of PANoptosis and programmed cell death in neurological diseases by Ketian Hou, Wenhan Pan, Lianhui Liu, Qianqian Yu, Jiahao Ou, Yueqi Li, Xi Yang, Zhenlang Lin, Jun Hui Yuan, Mingchu Fang

Get full text

Basin-wide and coastal modes of north tropical Atlantic variability have distinct impacts on hurricanes by Yi Liu, Michael J. McPhaden, Wenju Cai, Yu Zhang, Jiuwei Zhao, Hyacinth C. Nnamchi, Xiaopei Lin, Ziguang Li, Jun-Chao Yang

Get full text

Advances and trends of non-marine shale sedimentology: A case study from Gulong Shale of Daqing Oilfield, Songliao Basin, NE China by Longde SUN, Rukai ZHU, Tianshu ZHANG, Yi CAI, Zihui FENG, Bin BAI, Hang JIANG, Bo WANG

“…The insights of this study provide a significant guideline for evaluation of shale oil enrichment layers/zones. The non-marine shale sedimentology is expected to evolve into an interdisciplinary science on the basis of sedimentary petrology and petroleum geology, which reveals the physical, chemical and biological actions, and the distribution characteristics and evolution patterns of minerals, organic matter, pores, fluid, and phases, in the transportation, sedimentation, water-rock interaction, diagenesis and evolution processes. …”
Get full text

Estimation of carbon sequestration capacity of urban green infrastructure by fusing multi-source remote sensing data by Jiahui Chang, Zhenfeng Shao, Jinyang Wang, Zhu Mao, Tao Cheng, Xiaodi Xu, Qingwei Zhuang

“…Accurate selection and efficiently integrating remote sensing data are paramount for evaluating carbon storage at the small-scale of urban green infrastructure. …”
Get full text

Probabilistic Principal Component Analysis and Channel Attention for End-to-End Image Compression Optimization by Andri Agustav Wirabudi, Sung-Chang Lim, Woong Lim, Jeongil Seo, Haechul Choi

“…Although conventional standard-based methods are still used, they are limited in handling repetitive patterns and complex calculations, which can lead to image reconstruction issues. …”
Get full text

Identifying and analyzing drivers of innovative behavior based on strategic management of human resources in knowledge-based organizations by Mitra Sadoughi

“…Also, the findings of data analysis in the quantitative section showed that the extracted pattern has good fit; and behavioral capabilities, performance evaluation, thoughtfulness, job satisfaction, self-efficacy, justice-orientation, participation, competitiveness, professional ethics, Inter-sectoral relationship, collaborative management, and pragmatism, have respectively had the highest importance in developing innovative behaviors in knowledge-based organizations and university development centers. …”
Get full text

A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

“…Neuron reconstruction is a critical step in quantifying neuronal structures from imaging data. Advances in molecular labeling techniques and optical imaging technologies have spurred extensive research into the patterns of long-range neuronal projections. …”
Get full text

ASSESSMENT OF ERYTHROCYTE PERIPHERAL BLOOD AND ACTIVITY OF HEMOST ASIS IN PATIENTS WITH CER VICAL CANCER by N. I. Stuklov, T. V. Sushinskaya

“…Blood analysis was performed in the initial evaluation of patients in the prehospital phase.Results. …”
Get full text

Cumulative health burden and adjustment challenges following road traffic injuries: a controlled prospective study by Ilaria Pozzato, Yvonne Tran, Mohit Arora, Candice McBain, James W. Middleton, Ian D. Cameron, Ashley Craig

“…These findings highlight the importance of evaluating multiple biopsychosocial factors and adopting a holistic framework to fully understand recovery patterns. …”
Get full text

THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…Meanwhile, the program development environment was designed and developed based on frame-based programming using a set of developed Code Patterns. The C-SOLVIS evaluation using the SUS instrument has yielded a SUS mean score of 86.07. …”
Get full text

Carbon taxation in Europe by A. V. Korytin, N. S. Kostrykina, T. A. Malinina

“…The analysis shows that the structure of the carbon tax in European countries has differences, but the predominant form of taxation is an excise tax on fuel. …”
Get full text

Adaptation of Teachers' Perceptions of Grading Practices Scale to Turkish and Examination of Measurement Invariance by Meltem Acar Güvendir, Emre Guvendir, Yeşim Özer Özkan

“…This scale, which examines teachers' perceptions of grading methods, has six components: importance, usefulness, student effort, student ability, teacher's grading patterns, and perceived self-efficacy of the grading process. …”
Get full text

Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema by Adib Mosharrof, M.H. Maqbool, A.B. Siddique

“…We conduct an extensive experimental evaluation on SGD and SGD-X datasets that span up to 20 unique domains and ZS-ToD outperforms state-of-the-art sys- tems on key metrics, with an improvement of +17% on joint goal accuracy and +5 on inform. …”
Get full text

Teaching and learning with AI: a qualitative study on K-12 teachers' use and engagement with artificial intelligence by Tarang Tripathi, Smriti R. Sharma, Vatsala Singh, Palaash Bhargava, Chandraditya Raj

“…This study investigates teachers' beliefs about AI's educational role, their incorporation patterns, and associated challenges and opportunities.MethodsUsing semi-structured interviews with 20 teachers from two private schools in Delhi, India, the paper employed thematic analysis grounded in an AI Literacy and Ecological Teacher Agency Framework.Findings/ResultsThree key findings emerged: Teachers simultaneously embrace AI's potential to enhance learning and administrative efficiency while expressing deep concerns about student over-dependence and erosion of critical thinking skills. …”
Get full text

Advancing dimensionality reduction for enhanced visualization and clustering in single-cell transcriptomics by P. Sanju

“…To assess the performance of CP-PaCMAP, a variety of evaluation metrics are employed, including reliability, stability, Matthew correlation coefficient, and the Mantel test. …”
Get full text

Corpus Development and NER Model for Identification of Legal Entities (Articles, Laws, and Sanctions) in Corruption Court Decisions in Indonesia by Edy Subowo, Imam Bukhori, warto

“…Error analysis highlighted challenges in recognizing SANCTIONS entities (F1: 87.4%) due to sentence structure variability and conjunctions. The model’s implementation could accelerate judicial decision analysis, identify violation patterns, and support sanctions recommendation systems for laws enforcement. …”
Get full text

Ensemble Learning-Based Metamodel for Enhanced Surface Roughness Prediction in Polymeric Machining by Elango Natarajan, Manickam Ramasamy, Sangeetha Elango, Karthikeyan Mohanraj, Chun Kit Ang, Ali Khalfallah

“…This structured hybrid approach enables more robust prediction in small, noisy datasets characteristic of machining studies. …”
Get full text

Diffusion tensor imaging biomarkers for assessing cognitive and physical function in aging by Jungsoo Lee, Woohee Han, Hyunjin Kim

“…In older adults, conventional assessment methods are often subjective, time-consuming, and influenced by external factors, highlighting the need for objective and efficient evaluation tools. Neuroimaging biomarkers, particularly diffusion tensor imaging (DTI) metrics, offer promising insights into brain structure and function, potentially serving as reliable indicators of functional decline. …”
Get full text