The Role of Education and Intellectual Activity on Cognition by Jeanine M. Parisi, George W. Rebok, Qian-Li Xue, Linda P. Fried, Teresa E. Seeman, Elizabeth K. Tanner, Tara L. Gruenewald, Kevin D. Frick, Michelle C. Carlson

“…Early education, and other social learning experiences, may provide the skills, knowledge, and interest to pursue intellectual challenges across the life course. …”
Get full text

The impact of formal education on literacy and numeracy skills in Chilean adults: a comparative analysis with Latin American counterparts by Fernando Moncada Nahuelquín, Romualdo Ibáñez Orellana, Romualdo Ibáñez Orellana, Victor Kuperman

Get full text

Convolutional neural networks for diabetic retinopathy detection by Darwin Patiño-Pérez, Luis Armijos-Valarezo, Luis Chóez-Acosta, Freddy Burgos-Robalino

“… The early detection of diabetic retinopathy remains a critical challenge in medical diagnostics, with deep learning techniques in artificial intelligence offering promising solutions for identifying pathological patterns in retinal images. …”
Get full text

A Marine Object Detection Algorithm Based on SSD and Feature Enhancement by Kai Hu, Feiyu Lu, Meixia Lu, Zhiliang Deng, Yunping Liu

“…Firstly, according to the spiny-edge characteristics of a sea urchin, a multidirectional edge detection algorithm is proposed to enhance the feature, which is taken as the 4th channel of image and the original 3 channels of underwater image together as the input for the further deep learning. Then, in order to improve the shortcomings of SSD algorithm’s poor ability to detect small targets, resnet 50 is used as the basic framework of the network, and the idea of feature cross-level fusion is adopted to improve the feature expression ability and strengthen semantic information. …”
Get full text

The Effect of High-Intensity Interval Training (HIIT) on Brain-Derived Neurotrophic Factor Levels (BNDF): A Systematic Review by Milosz Mielniczek, Tore Kristian Aune

“…Concurrently, brain-derived neurotrophic factor (BDNF) supports neuronal resilience and activity-dependent plasticity, which are vital for learning and memory. This study aims to systematically review changes in BDNF levels in response to HIIT, with three primary objectives: evaluating the benefits of HIIT for BDNF modulation, assessing methodological quality and the risk of bias in reviewed studies, and identifying patterns in BDNF response based on HIIT protocols and population characteristics. …”
Get full text

Considering the potential unintended consequences of RateMDs: an exploratory study in one specialty by Kristina H Pulkki, Shamira Pira, Meredith Young, Grace M Scott, Carol Nhan, Kevin Fung, Gabriella Le Blanc, Lily HP Nguyen

“…We explored the content of reviews associated with low physician ratings and consider the potential benefits and consequences of relying on this form of freely available data to support individual life-long learning. Methods: We conducted an exploratory qualitative descriptive study. …”
Get full text

Investigating the Therapeutic Mechanisms of Total Saikosaponins in Alzheimer’s Disease: A Metabolomic and Proteomic Approach by Huiling Wei, Tianyi Du, Weiwei Zhang, Wei Ma, Yao Yao, Juan Li

“…Behavioral tests demonstrated that TSS effectively improved the learning and memory functions of mice. <b>Conclusions</b>: Our findings suggest that TSS ameliorate cognitive decline through regulating neuroinflammatory pathways, cAMP and cGMP signaling, and synaptic plasticity pathways, providing insights into its therapeutic potential in AD.…”
Get full text

Junior high school's EFL teachers' reading habits and literacy practices by Ni Komang Arie Suwastini, Ni Kadek Citrawati, Ni Wayan Surya Mahayanti, Nice Maylani Asril, I Gusti Agung Sri Rwa Jayantini

“…The teachers fostered the students' awareness of reading by giving reading tasks, sharing and discussing the reading experience, establishing literacy groups, forming reading corners, using the text or result of reading as learning resources, and posting the reading activities on social media. …”
Get full text

Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh, Raja Rajeswary Suppiah

“…Traditional methods, such as using downhole gauges or relying on empirical and mechanistic models, have limitations, prompting the exploration of alternative approaches such as machine learning (ML). However, most ML models operate as black box models, lacking transparency and interpretability. …”
Get full text

ISLAM AND NEO-MODERNISM IN INDONESIA: REVISITING NURCHOLISH MADJID AND ABDURRAHMAN WAHID’S THOUGHT ON CIVIL SOCIETY by Dito Alif Pratama

“…Adapting the concept of Barton (1997), both Madjid and Wahid are not only prominent public intellectuals but also can be considered intellectual ulama, scholars who combine the best of classical scholarship and intellectual leadership with modern secular and Islamic learning and participated alongside other public intellectuals in Indonesia's civil society forums. …”
Get full text

Staff Management in Social Security Hospitals in Tehran: Challenges and Solutions by Asra Khalili, Ali Mohammad Mosadegh Rad, SHahram Ghafary, Ebrahim Jaafaripooyan

“…Proposed solutions, classified into five main groups and 29 subgroups, encompassed: enhancing recruitment and hiring processes, fostering a dynamic organizational culture, improving human resource productivity and efficiency, transforming hospitals into learning organizations, providing comprehensive and effective training, and increasing transparency in rules and regulations, particularly in job descriptions. …”
Get full text

Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model by Gabriel A. A. Monteiro, Bruno A. A. Monteiro, Jefersson A. dos Santos, Alexander Wittemann

“…The presented method, which employs a pre-trained deep learning model, outperforms traditional techniques by circumventing systemic errors and human bias. …”
Get full text

GuardianMPC: Backdoor-Resilient Neural Network Computation by Mohammad Hashemi, Domenic Forte, Fatemeh Ganji

“…The rapid growth of deep learning (DL) has raised serious concerns about users&#x2019; data and neural network (NN) models&#x2019; security and privacy, particularly the risk of backdoor insertion when outsourcing the training or employing pre-trained models. …”
Get full text

Long short-term memory autoencoder based network of financial indices by Kamrul Hasan Tuhin, Ashadun Nobi, Mahmudul Hasan Rakib, Jae Woo Lee

“…Abstract We present a novel approach for analyzing financial time series data using a Long Short-Term Memory Autoencoder (LSTMAE), a deep learning method. Our primary objective is to uncover intricate relationships among different stock indices, leading to the extraction of stock networks. …”
Get full text

Satisfaction Levels of Students and Professors with the Integration Workshop on Human Morphophysiology III by Luis Alberto Mass Sosa, Galia Ibis Pérez Rumbaut, Georgina Jiménez Estrada, Ana Margarita López Rodríguez del Rey, Ada Sánchez Lozano, Sandra Cecilia Williams Serrano

“…<p><strong>Background</strong>: Integration is a skill that is acquired and developed through exercises and learning activities designed for this purpose.<br /><strong>Objective</strong>: To determine the level of satisfaction of students and professors with the integration workshop on the subject of Human Morphophysiology III in medicine studies from 2010 to 2011.…”
Get full text

Advancing Sustainable Development Goals through Earth Observation Satellite Data: Current Insights and Future Directions by Qiang Zhao, Le Yu

“…Despite existing challenges in data standardization, accessibility, and cross-platform compatibility, advancements in artificial intelligence, machine learning, and collaborative frameworks are anticipated to optimize EO data use. …”
Get full text

A State-Supervised Model and Novel Anomaly Index for Gas Turbines Blade Fault Detection Under Multi-Operating Conditions by Yuan Xiao, Kun Feng, Dongyan Miao, Peng Zhang, Jiaxin Yang

“…First, a State-Supervised Variational Autoencoder (SS-VAE) model is introduced, which integrates the learning process of turbine operational states into the VAE bypass, enabling it to capture variations in vibration signal data across different operating conditions. …”
Get full text

Factors influencing academic staff satisfaction and continuous usage of generative artificial intelligence (GenAI) in higher education by Maria Ijaz Baig, Elaheh Yadegaridehkordi

“…Abstract Generative Artificial Intelligence (GenAI) tools hold significant promises for enhancing teaching and learning outcomes in higher education. However, continues usage behavior and satisfaction of educators with GenAI systems are still less explored. …”
Get full text

A Hybrid Approach for Modular Neural Network Design Using Intercriteria Analysis and Intuitionistic Fuzzy Logic by Sotir Sotirov, Evdokia Sotirova, Vassia Atanassova, Krassimir Atanassov, Oscar Castillo, Patricia Melin, Todor Petkov, Stanimir Surchev

“…On the other hand, a high number of neurons can slow down the learning process, which is not desired. In this paper, we propose a method for removing part of the inputs and, hence, the neurons, which in addition leads to a decrease of the error between the desired goal value and the real value obtained on the output of the MNN. …”
Get full text

مراكز المنح الرقمية بالمكتبات الأكاديمية : تخطيط تحويلي by علا نبيل القصاص

“…ومن أهم النتائج التي توصلت إليها الدراسة أنه من أهم سمات المركز الإيكولوجية سمة التعلم من الأقران ، Peer Learning، حيث التمكن من تعليم كافة المنتسبين للجامعة بإختلاف تخصصاتهم للمهارات العلمية والتقنيات الحديثة لبعضهم البعض ، كما ترتكز خدمات المنح الرقمية بالمراكز على دعم دورة حياة البحث العلمي ، بما يتطلبه من أدوات رقمية وتقنية وبرمجية تسهل من إنجاز هذه الدورة بدءاً من إختيار الفكرة البحثية وصولاً إلى النشر الرقمي ، مروراً بالتخزين والحفظ والتحليل الإحصائي وصياغة المراجع وغيرها من المراحل البحثية…”
Get full text