Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm by P. Rajakumar, M. Senthil Kumar, K. Karunanithi, S. Vinoth John Prakash, P. Baburao, S. P. Raja

“…However, the appropriate placement of DG in DPN at the right location and size is essential to achieve the desired objectives. In this paper, DG is optimized into radial DPN with the aid of a recent bio-inspired hunter-prey optimization (HPO) algorithm. …”
Get full text

“It was a foregone conclusion”: a qualitative study of women’s experiences and meaning-making of later-in-life abortion in Belgium by Kato Verghote, Nathalie Neeser, Tenzin Wangmo, Guido Pennings, Veerle Provoost

“…Second, the women experienced their unplanned pregnancies as both physically and emotionally demanding, and desired to terminate them as soon as possible. Some participants felt additional emotional burdens because of delays caused by the mandatory waiting period and/or busy schedules at abortion centres. …”
Get full text

Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides by Heqian Zhang, Yihan Wang, Yanran Zhu, Pengtao Huang, Qiandi Gao, Xiaojie Li, Zhaoying Chen, Yu Liu, Jiakun Jiang, Yuan Gao, Jiaquan Huang, Zhiwei Qin

“…Clarifying the structure-activity relationships of AMPs can direct the synthesis of desirable peptide therapeutics. Objectives: In this study, the lipopolysaccharide-binding domain (LBD) was identified through machine learning-guided directed evolution, which acts as a functional domain of the anti-lipopolysaccharide factor family of AMPs identified from Marsupenaeus japonicus. …”
Get full text

Probing aspects of extracellular vesicle associated AAV allows increased vector yield and insight into its transduction and immune-evasive properties by Ming Cheng, Demitri de la Cruz, Adam V. Crain, Paula Espinoza, Carrie Ng, Zachary C. Elmore, Aravind Asokan, Casey A. Maguire

“…Extracellular vesicle-associated adeno-associated virus vectors (EV-AAVs) are generated during production in 293 cells. EV-AAV provides desirable gene delivery traits such as greater resistance to antibody neutralization and increased transduction of organs in vivo compared with conventional AAV. …”
Get full text

Quality by Design-Based Methodology for Development of Titanate Nanotubes Specified for Pharmaceutical Applications Based on Risk Assessment and Artificial Neural Network Modeling by Ranim Saker, Géza Regdon, Krisztina Ludasi, Tamás Sovány

“…Methods: In the present work, a risk assessment-based procedure was developed and completed using ANN-based modeling to enable the design and fabrication of titanate nanotube-based drug delivery systems with desired properties, based on the critical analysis and evaluation of data collected from published articles regarding titanate nanotube preparation using the hydrothermal treatment method. …”
Get full text

EM Database v1.0: A benchmark informatics platform for data-driven discovery of energetic materials by Xin Huang, Wen Qian, Jian Liu, Jun-hong Zhou, Chao-yang Zhang

“…In pursuit of high-performance EMs before synthetic attempts in the laboratory, the theoretically predicted properties and experimental results that can be easily accessed are desired. Herein, a benchmark informatics platform of EMs, namely EM Database, has been developed for the purpose of data storage and sharing. …”
Get full text

Monodispersed Iron Selenide Nanoparticles United with Carbon Nanotubes for Highly Reversible Zinc–Air Batteries by Hua Zhang, Tong Zeng, Jiale Ma, Yue Jiang, Yang Huang, Yuxin Cheng, Haifeng Ye, Cuiyun Zeng, Chenghui Zeng, Minshen Zhu, Shuiliang Chen

“…Developing electrocatalysts that exhibit exceptional activity without relying on noble metals, all while ensuring high efficiency and durability for the oxygen reduction and evolution reactions, poses a challenging yet highly desired task. Monodispersed nanoparticles on a conductive framework through strong metal–support interactions are known to show excellent catalytic performance. …”
Get full text

Metallurgical Processing of CoCrFeNi High-Entropy Alloy by P. Müller, A. Zadera, L. Čamek, M. Myška, V. Pernica

“…In order to achieve optimum alloy properties, it is necessary to minimise their content using various metallurgical processes The aim of the work was the metallurgical processing of CoCrFeNi alloy melted from scrap metal in an induction furnace. The desired reduction of carbon (to 100 ppm) and nitrogen content (from 660 to ~60 ppm) was reached by using carbon reaction under vacuum. …”
Get full text

Digital health for early psychosis in Ghana: patient and caregiver needs and preferences by Anna Larsen, Joel Agorinya, Alexa Beaulieu, Emmanuel Quame Sottie, Benjamin Buck, Kwadwo Obeng, Bill Kyeremeh, Fredrick Kwame Dogbe, Muhammed Izudeen Iddrisu, Phil Emil Okwei Dowuona, Olivia Oteba Abbey Tetteh, Omari Boakye Emmanuel, Angela Ofori-Atta, Dror Ben-Zeev

“…Early psychosis patients were most interested in information about managing stress and improving mood via a digital resource (72%). Caregivers desired a digital tool to provide information about psychosis symptoms (86%). …”
Get full text

High-Performance Anticorrosive Polyester Coatings on Mild Steel in Mixed Acid Mixtures Environments by Bashir Ahmad, Nasir M. Ahmad, Muhammad Yasir, Zulfiqar A. Khan, Sikander Rafiq

“…The results indicated successful development of LAM-P/FR and LAM-V/FR to obtain coatings with desirable characteristics such as anticorrosion, thickness, adhesion, stability, charge store and more resistance to acidic environments. …”
Get full text

Elucidating the role of compositional and processing variables in tailoring the technological functionalities of plant protein ingredients by Lorenzo Barozzi, Stella Plazzotta, Ada Nucci, Lara Manzocco

“…Overall, this review highlights that, besides protein purity and source, knowledge of the processing history is required to select PP ingredients with desired functionalities.…”
Get full text

MagicItem: Dynamic Behavior Design of Virtual Objects With Large Language Models in a Commercial Metaverse Platform by Ryutaro Kurai, Takefumi Hiraki, Yuichi Hiroi, Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama, Kiyoshi Kiyokawa

“…Existing LLM-based script generation methods for VR spaces require multiple lengthy iterations to implement the desired behaviors and are difficult to integrate into the operation of metaverse platforms. …”
Get full text

Grid-Integrated Dual Wind Turbine System Using SEPIC Converter with Whale Optimized PI Controller by Kishore R.D., Sravani K., Sai Kumar N.D., Preetham C.G., Bentu B.2

“…These attained outcomes are found to be more efficient when compared to other existing converters and optimized controllers thereby satisfying the objectives of meeting desired voltage demands of grid and achieving highly stabilized output power. …”
Get full text

A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

“…This study will have made attempt to address the complexities involves in the concrete mix designs process with the aim of achieving the desired 28-day compressive strength for FAGP. This study conducts a comparative performance analysis of the machine learning models for compressive strength prediction of FAGP using comprehensive dataset of 563 samples from 55 literature studies. …”
Get full text

Preliminary Selection of Device Materials to Locally Transform Thermal into SFR Neutron Spectrum by N. Chrysanthopoulou, P. Savva, M. Varvayanni, C. Colin, C. Huot-Marchand, N. Catsaros

“…The results obtained suggest that elements with important inelastic neutron scattering could be chosen at a first level as being able to modify the prevailing neutron spectrum towards the desired direction. The factors which are important for an effective inelastic scatterer comprise density and inelastic microscopic cross section, as well as the energy ranges where inelastic scattering occurs. …”
Get full text

Developing a Health Support System to Promote Care for the Elderly by Marcell Szántó, Lehel Dénes-Fazakas, Erick Noboa, Levente Kovács, Döníz Borsos, György Eigner, Éva-H. Dulf

“…The test results indicate that the armband functions in accordance with the desired design specifications, with performance evaluation of the main features including fall detection, where a hit rate of 100% was obtained, a fingerprint recognition test demonstrating accuracy from 88% to 100% on high-quality samples, and a GPS tracking test determining position with a difference of between 1.8 and 2.1 m. …”
Get full text

Factor Structure and Reliability of the Lithuanian Version of the Public Speaking Anxiety Scale by Livija Arcimavičiūtė, Olga Zamalijeva, Goda Gegieckaitė, Emily M. Bartholomay, Jonas Eimontas

“…Results indicate less than desirable fit for the single, and three-factor models, suggesting the need for alternative structures. …”
Get full text

A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation by Xi Chen, Yu Wan, Jingtao Qi, Zipeng Zhao, Yirun Ruan, Jun Tang

“…One is that the discrete and high-dimensional decision variables make the quality of the solution obtained with acceptable time not guaranteed. Second, the desired solution of real missions often needs to satisfy multiple objective functions, or a set of solutions for decision-making. …”
Get full text

Biomechanical and Biological Multidisciplinary Strategies in the Orthodontic Treatment of Patients with Periodontal Diseases: A Review of the Literature by Gaia Viglianisi, Alessandro Polizzi, Teresa Lombardi, Mariacristina Amato, Cristina Grippaudo, Gaetano Isola

“…Understanding the biomechanical principles allows for the development of treatment plans that mitigate these risks while achieving the desired tooth movement. Effective communication and coordinated treatment protocols are essential for managing periodontal issues before, during, and after orthodontic intervention. …”
Get full text

Albumin as an Effective Auxiliary Agent for the Enriched Extraction of Anthraquinones and Curcumin from Plant Matrices by Chiara Collevecchio, Salvatore Genovese, Francesco Epifano, Lorenzo Marchetti, Serena Fiorito

“…Nowadays, several processes to enrich desired bioactive compounds in plant extracts have been developed. …”
Get full text