Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics by Muhammad Umair Khan, Bilal Hassan, Anas Alazzam, Shimaa Eissa, Baker Mohammad

“…Furthermore, our system demonstrates synapse-like learning functions, storing and retrieving short-term (STM) and long-term memory (LTM). …”
Get full text

Flourishing the dimensions of children’s connectedness to nature and the school built environment: a mixed methods approach by Sonali Walimbe, Nandineni Rama Devi, Sumita Rege, Shantanu Chitgopkar, Vidyut Rajhans

“…Environment and structural features, functional and learning spaces, community and social integration, and innovation and infrastructure to enhance the natural connectedness in the school-built environment and foster attaining target 11.7. …”
Get full text

Fall risk screening: Audiologists’ perceived knowledge, views and reported practice by Kayla J. McFarlane, Amisha Kanji, Alida Naude

“…Despite this, 98% expressed interest in learning about FRS and 90% believed FRS could enhance the profession. …”
Get full text

Nurses’ perspectives on clinical competence to identify loneliness and depression in older people in home care: a qualitative study by Birgit Hauger, Randi Martinsen, Knut Hestad, Liv Skomakerstuen Ødbehr

“…Nursing includes various functional areas that illustrate registered nurses’ wide range of responsibilities to ensure healthcare quality. …”
Get full text

Tactile Communism: Keti Chukhrov’s Post-Soviet Dramatic Works and the Legacy of Soviet Defectology by Anastasiya Osipova

“…I argue that, while descriptions of violence, physiological functions, and abject poverty are common for post-Soviet art, in Chukhrov’s work these elements perform radically different task than in the pessimistic and de-ideologized chernukha, or the style of grim realism. …”
Get full text

Mentorship to strengthen health system leadership: A case study of the Walungu rural health zone in the eastern Democratic Republic of Congo. by Rosine Bigirinama, Ghislain Bisimwa, Samuel Makali, Aimé Cikomola, Janvier Barhobagayana, Jean-Corneille Lembebu, Christian Chiribagula, Pacifique Mwene-Batu, Abdon Mukalay, Denis Porignon, Albert Tambwe

“…Simple linear regression (p<0.05) measured the influence of IHFs on service use. The LRZ's functionality and performance were assessed using an internal benchmarking approach, with results presented as trend curves. …”
Get full text

Social media applications through the lens of DeLone and McLean’s information system success model: does perceived privacy matter? by Isyaku Salisu, Mazlan Mohd Sappri, Mohd Faizal Omar, Aemin Nasir, Sarmad Ejaz, Md Billal Hossain

“…Hence, information privacy must be ensured to create more secure, functional, and engaging applications. Suppliers and developers should focus on improving app quality, security, and protection, which are precursors to user satisfaction and continual usage. …”
Get full text

Past, present, and future of exosomes research in cancer: A bibliometric and visualization analysis by Yafei Xie, Xingqi Mi, Yikai Xing, Zhangyi Dai, Qiang Pu

“…Additional, “surface functionalization,” “plant,” “machine learning,” “nanomaterials,” “promotes metastasis,” “engineered exosomes,” and “macrophage-derived exosomes” were promising research topics. …”
Get full text

Chaotic dynamics analysis and digital hardware design of the Izhikevich neuron model by Mehdi Nadiri Andabili, Soheila Nazari, Tohid Moosazadeh

“…In order to verify the effectiveness of the suggested hardware in comparison to previous studies, four cost functions are introduced based on operation frequency, power, and errors. …”
Get full text

Constructing psychometric measurement of a past supervised experience scale with educational roles to investigate the relationship between being instructed, being supported, and be... by Yu-Chih Lin, Ling-Chun Ou

“…All medical clinical teachers begin their careers as medical students, often without knowing exactly how they will learn to teach. Kilminster and Jolly identified three primary functions of clinical supervisors including clinical teaching, support and guidance, and work supervision. …”
Get full text

TRIM29 alleviates intervertebral disc degeneration through the PI3K/AKT/mTOR pathway by Qinghua Yang, Junfei Feng, Hongyuan Xu, Tao Kang, Qingjun Wei, Hua Jiang

“…Six key genes were distinguished through least absolute shrinkage and selection operator (LASSO) algorithms combined with machine learning approaches and receiver operating characteristic (ROC) curve analysis. …”
Get full text

The protocol for a pilot feasibility trial of Improving Neurodevelopmental ouTcomes After prenatal Cannabinoid in uTero exposure (INTACT) study for a multi-center trial. by Jessie R Maxwell, Leigh-Anne Cioffredi, Maria M Talavera-Barber, Matthew Henry, Sandra Beauman, Anne Hittson, Meggie McCoy, Laurie Chassereau, Jing Jin, Preetha A Abraham, Linda Y Fu, Hengameh Raissy, Jessica N Snowden

“…In other high-risk populations, interventions aimed at increasing parental responsiveness have improved cognitive functioning in the children. This pilot trial aims to utilize a contingent responding training program in birthing parent-infant dyads with prenatal cannabinoid exposure to assess the feasibility of recruitment, completion of the proposed intervention and adherence.…”
Get full text

Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

“…The review begins with an overview of the architectural foundations and functional variations of CNNs used for scene interpretation. …”
Get full text

A scoping review of medication self-management intervention tools to support persons with traumatic spinal cord injury. by Lauren Cadel, Stephanie R Cimino, Glyneva Bradley-Ridout, Sander L Hitzig, Tanya L Packer, Lisa M McCarthy, Tejal Patel, Aisha K Lofters, Shoshana Hahn-Goldberg, Chester H Ho, Sara J T Guilcher

“…There was minimal overlap in the outcomes measured across the studies, but learning outcomes (e.g., perceived knowledge and confidence), behavioural outcomes (e.g., management strategies, data entry), and clinical outcomes (e.g., number of medications, pain scores, functional outcomes) were evaluated. …”
Get full text

Multi-omics-based subtyping of melanoma suggests distinct immune and targeted therapy strategies by Changchang Li, Xiaoqiong Lin, Jinhui Wang, Qiaochu Zhou, Fangfang Feng, Jie Xu

“…Multi-layered data, including transcriptomic, genomic, epigenetic, and immune landscape profiles, were analyzed using unsupervised clustering and machine learning approaches to define molecular subtypes. Functional assays and in silico drug screening were employed to explore subtype-specific vulnerabilities.ResultsThree robust molecular subtypes (CS1, CS2, CS3) were identified, each with distinct genomic alterations, tumor microenvironment characteristics, and clinical outcomes. …”
Get full text

Relevance-Based Reconstruction Using an Empirical Mode Decomposition Informer for Lithium-Ion Battery Surface-Temperature Prediction by Chao Li, Yigang Kong, Changjiang Wang, Xueliang Wang, Min Wang, Yulong Wang

“…This paper proposes a relevance-based reconstruction-oriented EMD-Informer machine learning model, which combines empirical mode decomposition (EMD) and the Informer framework to estimate the surface temperature of 18,650 lithium-ion batteries during charging and discharging processes under complex operating conditions. …”
Get full text

Model of differential diagnosis of nervous system lesions in young children by T. S. Krivonogova, O. M. Gerget, V. A. Zhelev, E. V. Golikova, E. V. Mikhalev, E. V. Loshkova, A. L. Solnyshko

“…All children aged 1, 3, 6, 9 months and 1 year were evaluated for physical and neuropsychic development, motor functions according to the method of L. T. Zhurba. …”
Get full text

A comprehensive review on the adsorptive removal of pharmaceutical pollutants: Occurrence, toxicology, molecular simulation and mechanistic insights by Mochamad Lutfi Firmansyah, Yousef Alwan, Nisar Ullah

“…Moreover, the influence of porosity, surface area, and functional groups on the adsorption efficiency has been discussed. …”
Get full text

Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…Firstly, it employs the Elite Centroid Quasi-Oppositional Base Learning (ECQOBL) approach to improve the exploitation capabilities of conventional algorithms. …”
Get full text

CSpredR: A Multi-Site mRNA Subcellular Localization Prediction Method Based on Fusion Encoding and Hybrid Neural Networks by Xiao Wang, Wenshuai Suo, Rong Wang

“…This paper proposes a novel deep learning prediction method, CSpredR, specifically designed for predicting the subcellular localization of multi-site mRNAs. …”
Get full text