SALMA: An Efficient State-Based Hybrid Routing Protocol for Mobile Nodes in Wireless Sensor Networks by Muhammad Muneer Umar, Nabil Alrajeh, Amjad Mehmood

“…While designing a routing protocol for mobile sensor nodes, the quality parameters like end-to-end delays and routing overhead are always considered. …”
Get full text

Using artificial intelligence techniques and econometrics model for crypto-price prediction by Abhidha Verma, Jeewesh Jha

“…This paper focuses on forecasting the price of Ethereum using two distinct methods: artificial intelligence (AI)-based methods like Genetic Algorithms (GA), and econometric models such as regression analysis and time series models. …”
Get full text

Generalised Adaptive Harmony Search: A Comparative Analysis of Modern Harmony Search by Jaco Fourie, Richard Green, Zong Woo Geem

“…Since then HS has become a popular alternative to other heuristic algorithms like simulated annealing and particle swarm optimisation. …”
Get full text

Neural network models for diagnosing recurrent aphthous ulcerations from clinical oral images by R. Raja Subramanian, R. Raja Sudharsan, Bavithra Vairamuthu, Deshinta Arrova Dewi

“…We also explored various optimizers and activation functions to determine the best configuration for improving model performance. …”
Get full text

Superhydrophobic ROS biocatalytic metal coatings for the rapid healing of diabetic wounds by Jun Yu, Wu Duan, Jing Zhang, Ming Hao, Jie Li, Ruopu Zhao, Weikang Wu, Heng Han Sua, Hieng Kiat Jun, Yilun Liu, Yang Lu, Yang Liu, Sida Liu

“…Two coatings were developed based on vanadium-ruthenium-boron (VRuB) intermetallic and VRu intermetallic compounds, which functioned as intermetallic compounds and exhibited various enzyme-like activities. …”
Get full text

Artificial molecular-level machines with [Ru(bpy)3]2+ as a “light-fueled motor” by Roberto Ballardini, Vincenzo Balzani, Alberto Credi, Maria Teresa Gandolfi, Margherita Venturi

“…Like macroscopic machines, molecular-level machines are characterized by (i) the kind of energy input supplied to make them work, (ii) the kind of movement performed by their components, (iii) the way in which their operation can be controlled and monitored, (iv) the possibility to repeat the operation at will and establish a cyclic process, (v) the time scale needed to complete a cycle of operation, and (vi) the function performed. …”
Get full text

GNP/FE electrode for real time EMG signal acquisition by Anitha S. Prasad, V. Asha, M. N. Jayaram

“…Performance of acquired EMG signal is measured with parameters like error percentage, correlation co-efficient, signal to noise ratio (SNR). …”
Get full text

Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence by Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad

“…The primary aim of this study is to leverage cutting-edge models trained on diverse image datasets and propose a CNN model that demonstrates comparable performance. Specifically, we employ transfer learning models such as DenseNet121, Xception, Resnet50, VGG16, VGG19, and InceptionV3, and machine learning models such as SVM, and neural network models like (RNN) for binary and multi-class classification. …”
Get full text

GOT2: a moonlighting enzyme at the crossroads of cancer metabolism and theranostics by Junxi Hu, Qingwen Liu, Qinglin Ren, Wenbo He, Jiaqi Hou, Xiaolin Wang, Xiaolin Wang, Yusheng Shu, Yusheng Shu

“…Moonlighting enzymes perform multiple distinct functions under different conditions without relying on gene fusion, splicing, or polymerization. …”
Get full text

Sources and Extraction of Biopolymers and Manufacturing of Bio-Based Nanocomposites for Different Applications by Elham Azadi, Mohammad Dinari, Maryam Derakhshani, Katelyn R. Reid, Benson Karimi

“…Polysaccharide-based nanocomposites have great features, like developed physical, structural, and functional features; affordability; biodegradability; and biocompatibility. …”
Get full text

Application of sparrow search swarm intelligence optimization algorithm in identifying the critical surface in slope-stability by Abhijit Saha

“…The study illustrates the flexibility, efficiency, and robustness of the methodology in function optimization.…”
Get full text

Tcf4 regulates secretory cell fate decisions in the small intestine and colon tumors: insights from transcriptomic, histological, and microbiome analyses by Lucie Janeckova, Monika Stastna, Dusan Hrckulak, Linda Berkova, Jan Kubovciak, Jakub Onhajzer, Vitezslav Kriz, Stela Dostalikova, Tereza Mullerova, Katerina Vecerkova, Marketa Tenglerova, Stepan Coufal, Klara Kostovcikova, Richard S. Blumberg, Dominik Filipp, Konrad Basler, Tomas Valenta, Michal Kolar, Vladimir Korinek

“…This raises important questions: What is the role of these Paneth-like cells in tumor biology, and how does Tcf4 influence their identity and function? …”
Get full text

Myokines and interorgan crosstalk: bridging exercise to health promotion and disease prevention by Junseo Ha, Suchan Sung, Hyeonwoo Kim

“…During exercise, skeletal muscle actively contracts to perform movements and secretes hormone-like molecules termed myokines. …”
Get full text

Ceci n’est pas un autel, ceci est un autel ! À propos de quelques jeux d’images rituelles à Rome by Valérie Huet

“…The Ara Pacis in Rome makes it possible to reflect on the internal resonances of the images of the enclosure and of the altar itself, and on the external resonances with the rituals that were performed on the altar. The second monument kept in Padua allows us to continue the questioning of the adequacy between the function of the altar and its ornament, a carved altar. …”
Get full text

Design and Construction of a Free Energy Generator. by Tumwebaze, Edwine

“…The main tittle of this project is design and construction a free energy generator where the main objective is to determine whether the concept of a free energy generator can be used to generate electricity without using other sources of energy like hydroelectric power, fossil fuel among others but using the natural properties of magnets (attraction and repulsion of the magnetic poles) to create a perpetual motion which can be used to perform a useful function. …”
Get full text

Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

“…The review conducts assessments of typical metrics like accuracy and precision and recall and runtime performance yet extends its evaluation to analyze new trends combining deep learning with ensemble approaches to enhance software defect prediction functionality. …”
Get full text

Nucleoporin 153 deficiency in adult neural stem cells defines a pathological protein-network signature and defective neurogenesis in a mouse model of AD by Claudia Colussi, Alessia Bertozzi, Lucia Leone, Marco Rinaudo, Raimondo Sollazzo, Federica Conte, Elena Paccosi, Luca Nardella, Giuseppe Aceto, Domenica Donatella Li Puma, Cristian Ripoli, Maria Gabriella Vita, Camillo Marra, Marcello D’Ascenzo, Claudio Grassi

“…Methods Nup153-regulated mechanisms contributing to NSC function were investigated: (1) in cultured NSCs isolated from AD and wild type (WT) mice by proteomics; (2) in vivo by lentiviral-mediated delivery of Nup153 or GFP in the hippocampus of AD and control mice analyzing neurogenesis and cognitive function; (3) in human iPSC-derived brain organoids obtained from AD patients and control subjects as a model of neurodevelopment. …”
Get full text

Palliative care burden and specialist service utilisation for individuals with cardiovascular disease in Australia: a national population-based observational study by Meng Li, Jinfeng Ding, Huiqin Liu, Yiping Lu, Xiwen Simon Qin, Minghui Tan, Hongliang Tao, Qin Xia

“…Surprisingly, higher levels of symptom distress and challenges in symptom management were associated with a decreased likelihood of using inpatient services compared with community-based services.Conclusion Patients with CVD frequently require support to manage decreased functional abilities, as well as symptoms like fatigue and breathing difficulties. …”
Get full text

Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

“…By demonstrating the superior performance of DTRT, the study guides practitioners and researchers in selecting models that enhance localization accuracy, ultimately improving the overall functionality of WSNs.…”
Get full text

Parietal alpha and theta power predict cognitive training gains in middle-aged adults by Luka Juras, Ivana Hromatko, Andrea Vranic

“…Research on executive functions training shows inconsistent outcomes, with factors like age, baseline cognitive abilities, and personality traits implicated as predictive of training gains, while limited attention has been given to neurophysiological markers. …”
Get full text