Prediction of blood–brain barrier and Caco-2 permeability through the Enalos Cloud Platform: combining contrastive learning and atom-attention message passing neural networks by Nikoletta-Maria Koutroumpa, Andreas Tsoumanis, Haralambos Sarimveis, Iseult Lynch, Georgia Melagraki, Antreas Afantitis

“…Scientific Contribution Our study combines an atom-attention Message Passing Neural Network (AA-MPNN) with contrastive learning (CL), which significantly improves predictive accuracy. …”
Get full text

Training for Better Decisions: Designing a Computer-mediated Distance Education Subject for Tribunal Members by Pamela O'Connor, Beth Gaze

Get full text

Filmer le travail dans un train postal. À propos de Night Mail by Pierre Maillot

“…Night Mail, a short documentary about mail sorting on night trains, was produced by the UK General Post Office’s cinema department back in 1936. …”
Get full text

The impact of training through the telegram's virtual network on promoting women's knowledge and perceptions in preventing osteoporosis by Zohreh Karimiankakolaki, Maryam Khadibi, Sakineh Gerayllo, Bahareh Motaghi, Fatemeh Heidari

“…Conclusions: Use of Telegram training and virtual training spaces is effective in promoting women's knowledge and perceptions in the prevention of osteoporosis and contributes to the advancement of women's health beliefs. …”
Get full text

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink by Xinyu Feng, Mohammed El-Hajjar, Chao Xu, Lajos Hanzo

“…Hence, we design the Space-Frequency (SF) domain matrix as a joint factor graph, where the Approximate Message Passing (AMP) and Expectation Propagation (EP) based MU detectors can be utilized. …”
Get full text

Total aortic arch replacement without deep hypothermic circulatory arrest in type A aortic dissection: Left axillar artery for arterial cannulationCentral MessagePerspective by Ugursay Kiziltepe, MD, Ilker Ince, MD, Melike Senkal, MD, Suleyman Surer, MD, Ibrahim Duvan, MD, Ozgur Ersoy, MD, Omer Delibalta, MD, Osman Mavi, MD, Elif Sahin, MD

Get full text

"The message hurts, but it would be worse if nothing was said" - Communicating severe illness and the imminence of death to patients with end stage heart failure and their families... by Annika Pohl, Maria Liljeroos, Tiny Jaarsma

“…The second theme was 'A clear message helps in handling life' with the subthemes of coping psychologically and practically. …”
Get full text

ATTRIBUTION OF MEDIA TEXTS BASED ON A TRAINED NATURAL LANGUAGE MODEL AND LINGUISTIC ASSESSMENT OF IDENTIFICATION QUALITY by Vladimir A. Klyachin, Ekaterina V. Khizhnyakova

“…It has been established that the test use of a trained natural language model allows filtering media texts with fairly high accuracy. …”
Get full text

Enhancing preparedness: Assessing the impact of an online Training of Trainers program for nurses in Indian COVID-19 hospitals by Ravikant G. Pinjarkar, Sailaxmi Gandhi, Paulomi M. Sudhir, Manjula Munivenkatappa

“…Aim: To examine the effectiveness of online Training of Trainers Program for Nurses working in Covid-19 Hospitals in India. …”
Get full text

How to facilitate peer support – learnings from the development of a peer support program for people with T2DM via instant messaging service to improve diabetes self-management by Ursula Hemetek, Tatjana Aubram, Johanna Grüblbauer, Elisabeth Höld

“…This study explores the use of Instant Messaging Services (IMS) for peer support among individuals with Type 2 Diabetes Mellitus (T2DM). …”
Get full text

Differences in training and practice in tunnelled haemodialysis catheter removal: a survey of nephrology trainees across United Kingdom by Ismet Boral, Shalabh Srivastava, Joanna McKinnell

“…Method We created an online survey with twenty questions for trainee and non-training nephrology registrars working in UK. The survey was distributed via regional renal training programme directors, UK Kidney Association, “Renal SpR Club” and online professional social networks including social media and instant messaging services. …”
Get full text

A Deep Learning-Based Gunshot Detection IoT System with Enhanced Security Features and Testing Using Blank Guns by Tareq Khan

“…In this project, a new custom dataset of blank gunshot sounds is recorded, and a deep learning model using both time and frequency domain features is trained to classify gunshot and non-gunshot sounds with 99% accuracy. …”
Get full text

Analysing the potential of ChatGPT to support plant disease risk forecasting systems by Roberta Calone, Elisabetta Raparelli, Sofia Bajocco, Eugenio Rossi, Lorenzo Crecco, Danilo Morelli, Chiara Bassi, Rocchina Tiso, Riccardo Bugiani, Fabio Pietrangeli, Giovanna Cattaneo, Camilla Nigro, Marco Secondo Gerardi, Simone Bussotti, Angela Sanchioni, Danilo Tognetti, Mariangela Sandra, Irene De Lillo, Paolo Framarin, Sandra Di Ferdinando, Simone Bregaglio

“…This study explores the potential of two versions of the ChatGPT large language model (GPT-3.5 Turbo and GPT-4) in supporting plant disease risk forecasting through the translation of model-based predictions into advisory messages. A dataset of 3125 messages, each referred to an artificially generated five-day disease risk scenario, was inspected using lexical, consistency, and sentiment analyses. …”
Get full text

Automated Root Cause Analysis of Network Failures in IP/MPLS Network Using Machine Learning and Case-Based Reasoning by Tikumporn Wankvar, Apichon Witayangkurn

“…A supervised learning model is employed to classify event messages, trained on a dataset of over seven million entries. …”
Get full text

A low-complexity AMP detection algorithm with deep neural network for massive mimo systems by Zufan Zhang, Yang Li, Xiaoqin Yan, Zonghua Ouyang

“…To address this issue, a low-complexity Approximate Message Passing (AMP) detection algorithm with Deep Neural Network (DNN) (denoted as AMP-DNN) is investigated in this paper. …”
Get full text

Effect of Acute Resistance Exercise and Resistance Exercise Training on Central Pulsatile Hemodynamics and Large Artery Stiffness: Part II by Denis J. Wakeham, Gary L. Pierce, Kevin S. Heffernan

“…In this second part of our two-part series, we consider the subacute recovery window as the driver of resistance exercise training (RET) adaptations. We then discuss the results of RET interventions and corroborate these findings against the information gleaned from cross-sectional studies in habitually strength-trained athletes. …”
Get full text

Effect of Acute Resistance Exercise and Resistance Exercise Training on Central Pulsatile Hemodynamics and Large Artery Stiffness: Part I by Denis J. Wakeham, Gary L. Pierce, Kevin S. Heffernan

“… Background: Engaging in habitual resistance exercise training (RET; also known as strength training) causes systemic health effects beyond those caused by aerobic/endurance exercise training alone. …”
Get full text

Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks by Joseph Azar, Mohammed Al Saleh, Raphaël Couturier, Hassan Noura

“…The Manufacturing Message Specification (MMS) protocol is frequently used to automate processes in IEC 61850-based substations and smart-grid systems. …”
Get full text

Co-Designed Online Training Program for Worry Management: The Role of Young People With Lived Experience of Worry in Program Development by Jessica Steward, Michelle L Moulds, Colette R Hirsch

“…The online training program was accessed via a mobile app. In this paper, we describe how Lived Experience Advisory Panel (LEAP) members were involved in each stage of the process of developing the Shift Focus online training program, from refining session content through to designing and testing the online training program prototype. …”
Get full text

Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM by Mahmoud Murhej, G. Nallasivan

Get full text