MicroRNA-99 family in cancer: molecular mechanisms for clinical applications by Yueyuan Wang, Dan Huang, Mingxi Li, Ming Yang

Get full text

Multi-scale convolutional transformer network for motor imagery brain-computer interface by Wei Zhao, Baocan Zhang, Haifeng Zhou, Dezhi Wei, Chenxi Huang, Quan Lan

“…These results highlight MSCFormer’s robustness and accuracy, underscoring its potential in EEG-based BCI applications. The code has been released in https://github.com/snailpt/MSCFormer .…”
Get full text

Scale selection and machine learning based cell segmentation and tracking in time lapse microscopy by Nagasoujanya Annasamudram, Jian Zhao, Olaitan Oluwadare, Aashish Prashanth, Sokratis Makrogiannis

“…The code of our method is publicly available on https://github.com/smakrogi/CSTQ_Pub/ , (release v.3.2).…”
Get full text

Board Structure and the Profitability of Listed Consumer Goods Firms in Nigeria by Yusufu, Ojochenemi Sunday, Ibrahim, Mohammed Gaddafi, Ali, Abubakar, Sunday Alewo Omale

“…Generated data was analyzed using a fixed effect generalized least square (GLS) Multiple linear regression technique and descriptive statistics. …”
Get full text

Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation by Yanan Bai, Liji Xiao, Chongjun Xia, Kexiang Zeng, Xiaoyu Shi

“…It attains relatively gains of 19.26% in HR@5 and 17.97% in NDCG@5 on the Amazon-sports dataset. The code is available at https://github.com/shixiaoyu0216/TCA4Rec/tree/main .…”
Get full text

Representativity studies of GEN-III large cores to ZPR experiments with respect to nuclear data by Njayou Tsepeng Eric Karson, Blaise Patrick, Couyras David, Argaud Jean-Philippe, Clouvel Laura, Dos Santos Nicolas

“…Standard (SPT) and generalized (GPT) perturbation theories are employed to determine sensitivities with respect to nuclear data and their uncertainties are propagate to the outputs through the sandwich rule with covariance data collapsed from a fine to a coarse energy mesh.…”
Get full text

A Search-Based Domain Adaptation Network for Fault Diagnosis of Rotating Machinery Under Cross-Operating Conditions by Jiaqi Zhang, Hua Sun, Tong Yuan

“…The Supervisor regularization mechanism improves generalization and prevents overfitting by ensuring that the searcher explores all target domain samples with equal probability. …”
Get full text

A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone by Amine Lagzouli, Peter Pivonka, David M. L. Cooper, Vittorio Sansalone, Alice Othmani

“…The model’s robustness and generalization capabilities were rigorously tested under diverse and unseen conditions, confirming its effectiveness in the automated segmentation of high-resolution µCT mouse tibia scans. …”
Get full text

A theoretical model influencing the use of pre-exposure prophylaxis in MSM population: a qualitative study from Beijing by Yongbing Sun, Bing Song, Chengqi Liu, Ziyi Lu, Juan Cheng, Tianjun Jiang

Get full text

Trends in Opioid and Non-opioid Prescriptions in Austria (2016–2021): A Nationwide Study on Utilization and Concomitant Benzodiazepine Use by Aylin Bilir, Lorenz Kapral, Andrea Michalek-Sauberer, Razvan Bologheanu, Felix Gruber, Oliver Kimberger

“…The dataset included demographic information; hospital data, including coded primary and secondary discharge diagnoses; and prescription data for all legally available opioids and nonopioid analgesics. …”
Get full text

Serum LINC01278 serves as a negative biomarker for sepsis and its up-regulation inhibits LPS-induced inflammatory response in THP-1 cells by Ying Gu, Honggang Jia, Xinyu Lin, Ling Wang

Get full text

Theoretical and methodological backgrounds for the use of linguoculturological analysis of an artistic text in teaching language disciplines by Inna Vladimirovna Shcherbashina, Fatima Kaplanovna Urakova, Dariet Doletcherievna Zhazheva, Saida Nurbievna Pkhanayeva

“…In this regard, there is a need to identify new approaches and techniques aimed at familiarizing students with language and literature as a special kind of art, spiritual culture and material code of the people that form the linguistic picture of the world of the nation.The authors of the article adhere to the point of view that the solution to this problem is possible due to the provisions of Linguoculturology, the main object of which is the relationship between language and culture and the interpretation of this interaction.The problem of the research is to determine the basis for the use of linguoculturological text analysis in the practice of teaching language disciplines.The aim of the research is to describe theoretical and methodological foundations for the use of linguoculturological analysis of the text, aimed at analyzing the text as a phenomenon of the culture of people and the perception of cultural and ethnic information contained in the text, in the language sign, in the word.The research methods include study and analysis of theoretical and methodological sources, experimental verification and generalization of the results obtained during the experiment.As a result of the scientific research, the possibility of using linguoculturological analysis of a literary text in the practice of teaching language disciplines has been presented.It has been experimentally revealed that the use of linguoculturological text analysis in the practice of teaching language disciplines allows you to see not only a meaningful and aesthetic picture of the whole text, but also to deeply and comprehensively comprehend the ethnic reality of the text with the help of language, expand the worldview and understanding of the world of students, generate interest in the cultural heritage of others peoples.…”
Get full text

Biathlon Injury and Illness Surveillance project (BIIS): development of biathlon-specific surveillance forms in English, Russian, French and German by Carlee Van Dyk, Nirmala Panagodage Perera, James E Carrabre, Fabio Manfredini, Jane Fitzpatrick

“…New codes were created to describe the time of injury/illness. …”
Get full text

Ambulance Crash During Emergency Operation in Iran: A Qualitative Study by Rahim Ali Sheikhi, Mohammad Heidari, Hamid Jafari, Sadegh Heydarpoor, Salman Yadollahi

“…The codes were extracted using both deductive and inductive methods. …”
Get full text

Neural fields for 3D tracking of anatomy and surgical instruments in monocular laparoscopic video clips by Beerend G. A. Gerats, Jelmer M. Wolterink, Seb P. Mol, Ivo A. M. J. Broeders

“…Due to the small size of instruments, they generally cover a small part of the image only, resulting in decreased tracking accuracy. …”
Get full text

Decoupling model descriptions from execution: a modular paradigm for extensible neurosimulation with EDEN by Sotirios Panagiotou, Rene Miedema, Dimitrios Soudris, Christos Strydis, Christos Strydis

“…Additionally, the proposed method for incorporating arbitrary simulation platforms—from model-optimized code kernels to custom hardware devices—as backends offers a more sustainable and adaptable framework for the computational-neuroscience community. …”
Get full text

Decoding words during sentence production with ECoG reveals syntactic role encoding and structure-dependent temporal dynamics by Adam M. Morgan, Orrin Devinsky, Werner K. Doyle, Patricia Dugan, Daniel Friedman, Adeen Flinker

“…It remains a largely untested assumption that the principles of word production generalize to more naturalistic utterances like sentences. …”
Get full text

The Managerial Roles of Sports Clubs CEOs in the Current and Desirable Conditions by Mahboobeh Surani, Rahim Ramezaninezhad, Noshin Benar, Hamidreza Goharrostami

Get full text

Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

“…Neural networks were employed using MATLAB R2021a and Python, implemented in Visual Studio Code. Data from 132 kV overhead line (OHL) transmission cables, provided by the Transmission Company of Nigeria (TCN), were utilized in the study. …”
Get full text

OpenClustered: an R package with a benchmark suite of clustered datasets for methodological evaluation and comparison by Nathaniel Sean O’Connell, Jaime Lynn Speiser

“…We demonstrate the use of OpenClustered with a small benchmarking study comparing Frequentist and Bayesian implementations of generalized linear mixed models. All code and data are contained on the OpenClustered GitHub page. …”
Get full text