Long-Term Safety and Efficacy of Lenabasum, a Cannabinoid Receptor Type 2 Agonist, in Patients with Dermatomyositis with Refractory Skin Disease: Follow-Up Data from a 3-Year Open-... by Caroline J. Stone, Geeta Ahuja, Lais Lopes Almeida Gomes, Joy Poroye, Daniella Forman Faden, Lillian Xie, Rui Feng, Barbara White, Victoria P. Werth

“…Objectives: This study utilizes data from the open-label extension (OLE) phase of the lenabasum phase 2 trial and additional post-OLE follow-up data. …”
Get full text

Human motion capture data recovery based on non-convex low-rank priors of temporal difference(非凸时序差分低秩约束的人体运动捕获数据恢复算法) by 胡文玉(HU Wenyu), 彭绍婷(PENG Shaoting), 郭震宇(GUO Zhenyu), 黄慧英(HUANG Huiying)

“…The objective of human motion capture data recovery is to recover the missing positions of motion markers and to remove noises. …”
Get full text

Integration of Accelerometers and Machine Learning with BIM for Railway Tight- and Wide-Gauge Detection by Jessada Sresakoolchai, Chayutpong Manakul, Ni-Asri Cheputeh

“…Accelerometers installed on axle boxes provide real-time dynamic data, capturing anomalies indicative of tight and wide gauges. …”
Get full text

Self‐Report Tool for Identification of Individuals With Coronary Atherosclerosis: The Swedish CardioPulmonary BioImage Study by Göran Bergström, Eva Hagberg, Elias Björnson, Martin Adiels, Carl Bonander, Ulf Strömberg, Jonas Andersson, Mattias Brunström, Carl‐Johan Carlhäll, Gunnar Engström, David Erlinge, Isabel Goncalves, Anders Gummesson, Emil Hagström, Ola Hjelmgren, Stefan James, Magnus Janzon, Lena Jonasson, Lars Lind, Martin Magnusson, Viktor Oskarsson, Johan Sundström, Per Svensson, Stefan Söderberg, Raquel Themudo, Carl Johan Östgren, Tomas Jernberg

Get full text

A real-time framework for opinion spam detection in Arabic social networks by Cherry A. Ezzat, Abdullah M. Alkadri, Abeer Elkorany

“…In addition to providing a visualization module for analyzing and reporting the characteristics of the filtered text.…”
Get full text

Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

“…The study was conducted on hourly meteorological data for the period from 1985 to 2021. A feature of the approach is the clustering of weather conditions on hourly rather than daily intervals. …”
Get full text

A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling by Ahmad Almadhor, Shtwai Alsubai, Natalia Kryvinska, Nejib Ghazouani, Belgacem Bouallegue, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…Unlike conventional DT models used mainly for visualization or simulation, the proposed approach leverages DTs as adaptive, data-driven decision-making tools that evolve through continuous IoT sensor feedback. …”
Get full text

Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study by Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal, Tarikul I. Milon, Feng Chen, Wu Xu

“…The uniqueness of the method benefits students’ learning of big data and computational methods. Specifically, students learn (i) how to search proteins of interest from the PDB archive, (ii) basic supercomputer skills, (iii) how to prepare datasets, (iv) how to perform protein structure and sequence analyses, (v) how to interpret the results, visualize protein structures and make graphs. …”
Get full text

Net2Brain: a toolbox to compare artificial vision models with human brain responses by Domenic Bersch, Domenic Bersch, Martina G. Vilas, Martina G. Vilas, Sari Saba-Sadiya, Timothy Schaumlöffel, Timothy Schaumlöffel, Kshitij Dwivedi, Christina Sartzetaki, Radoslaw M. Cichy, Radoslaw M. Cichy, Radoslaw M. Cichy, Gemma Roig, Gemma Roig

“…However, challenges remain in effectively comparing the representational spaces of artificial models and brain data, particularly due to the growing variety of models and the specific demands of neuroimaging research. …”
Get full text

Exploring Deep Clustering Methods in Vibro-Acoustic Sensing for Enhancing Biological Tissue Characterization by Robin Urrutia, Diego Espejo, Montserrat Guerra, Karin Vio, Thomas Suhn, Nazila Esmaeili, Axel Boese, Patricio Fuentealba, Alfredo Illanes, Christian Hansen, Victor Poblete

“…Nonlinear dimensionality reduction techniques, often referred to as manifold learning, are increasingly valuable for data visualization and unsupervised clustering. In the context of surgery and medicine, these methods facilitate the analysis of complex datasets, enabling pattern recognition in surgical data. …”
Get full text

Comparative evaluation of oral premedication with clonidine and metoprolol on surgical field conditions and intraoperative hemodynamics during functional endoscopic sinus surgery by Udita Naithani, Priya Verma, Riyaz K. Ahamed, Santosh Choudhary, Vandana Gakkhar, Gayatri Deshpande

“…Categorical, continuous, and ordinal data were compared using Chi-square test, t-test, and Mann–Whitney test, respectively. …”
Get full text

A comparative evaluation of autokeratorefractometry and keratotopography in patients with cicatricial corneal astigmatism by V. V. Neroev, E. V. Chentsova, D. S. Belyaev, A. V. Penkina

“…Purpose: to compare the data of autokeratorefractometry (AKR) and keratotopography (KT) of patients with eye trauma consequences and cicatricial corneal astigmatism. …”
Get full text

Cybernetic model of the regional situation center by M.S. Graf, D.A. Liubchenko

“…The results obtained on the conditional data confirm the feasibility of using risk-based models for energy security problems in border areas. …”
Get full text

RESEARCH OF MULTIMODAL PERCEPTION PROFILE AMONG STUDENTS by T. N. Bandurka

“…Studying group tendencies in polimodal perception among students shows that one cannot claim visual perception dominant type of perception. Respondents prefer to use visual and also osmatic, gustatory and gaptic modalities. …”
Get full text

Reliability of Three Pain Assessment Tools in Children Requiring Dental Treatment: A Comparative Clinical Study by Rutika Naik, Singh Anu Arvind, Chhaya B. Patel, Amarnath Biradar, Prasannakumari S. Patil, Manasi Kulkarni, Poonam Joshi

Get full text

An Enhanced Bio-inspired GWO–DE Technique for Efficient Feature Selection in the EEG-RSVP Paradigm by S. Abinayaa, S. S. Sridhar

“…Abstract The inherent noise and high dimensionality of EEG signal make it more difficult to accomplish fast and accurate classification, which is particularly challenging in rapid serial visual presentations (RSVP) target recognition tasks based on EEG. …”
Get full text

A new approach to manage the connection queue by Nicolas Ostler, Furong Li, Lewis Dale

“…These approaches have been aligned with current system thinking and progress towards a new industry data sharing standard, forming strategy by which we look to transition the energy system and country into a decarbonised future.…”
Get full text

DC-tCNN: A Deep Model for EEG-Based Detection of Dim Targets by Liangwei Fan, Hui Shen, Fengyu Xie, Jianpo Su, Yang Yu, Dewen Hu

“…Results: The results demonstrate the superior performance and better generalizability of this model in classifying the single-trial EEG data of AVEP task in contrast to typical EEG deep learning networks. …”
Get full text

Notification of suspicion on the web page of the General Prosecutor’s Office and in the newspaper “Uryadovyi Kurier”: requirements and algorithm of publication by A. V. Hutnyk

“…It is emphasised that the notice of suspicion to be published on the website and in the mass media of the national sphere of distribution have differences in content, format, data that may be made public, and place of publication. …”
Get full text

What Is My Plaza for? Implementing a Machine Learning Strategy for Public Events Prediction in the Urban Square by Jumana Hamdani, Pablo Antuña Molina, Lucía Leva Fuentes, Hesham Shawqy, Gabriella Rossi, David Andrés León

Get full text