Hybrid Quality-Based Recommender Systems: A Systematic Literature Review by Bihi Sabiri, Amal Khtira, Bouchra El Asri, Maryem Rhanoui

“…This review provides a thorough examination of several hybrid models by combining ideas from the current research and emphasizing their practical uses, strengths, and limits. …”
Get full text

Reasons for disengagement in first-episode psychosis – perspectives from service users and their caregivers by Yi Chian Chua, Kumarasan Roystonn, K. Pushpa, Swapna Verma, Charmaine Tang

“…Conclusions There is a need to narrow down urgent areas of attention, aligning the study themes with established risk factors so that feasible solutions can be developed and appropriate care models can be adopted, to minimise adverse outcomes related to disengagement. …”
Get full text

Prognostic significance of lymph node ratio in esophageal squamous cell carcinoma: insights from the South Asian population by Sajida Qureshi, Waqas Ahmad Abbasi, Hira Abdul Jalil, Saba Mughal, Muhammad Saeed Quraishy

“…Patient characteristics were compared along with lymph node groups, and survival outcomes were analyzed using the Kruskal Wallis and Chi-square/Fisher exact test, Pearson correlation, Kaplan-Meier (KM) estimates, and Cox regression models.ResultsAmong the 47 patients, 15 (31.9%) deaths were observed. …”
Get full text

MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction by Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman

“…Traditional prediction methods relying on demographic and genetic data often fall short in accuracy and robustness. Recent graph-based models, while promising, frequently neglect the critical role of atomic interactions and fail to integrate drug fingerprints with SMILES for comprehensive molecular graph construction. …”
Get full text

A Convolutional Neural Network Using Anterior Segment Photos for Infectious Keratitis Identification by Satitpitakul V, Puangsricharern A, Yuktiratna S, Jaisarn Y, Sangsao K, Puangsricharern V, Kasetsuwan N, Reinprayoon U, Kittipibul T

“…The ensemble technique showed higher performance than single algorithm with the accuracy of 0.83 (95% 0.78– 0.88).Conclusion: Convolutional neural networks with ensemble techniques provided the best performance in discriminating bacterial keratitis, fungal keratitis, non-infectious corneal lesions, and normal corneas. Our models can be used as a screening tool for non-ophthalmic health care providers and ophthalmologists for rapid provisional diagnosis of infectious keratitis.Keywords: infectious keratitis, cornea ulcer, keratitis, conventional neural network, deep learning algorithm…”
Get full text

A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease by Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas

“…To classify the WSD into its four classes (healthy, low infestation degree, medium infestation degree, and high infestation degree), two types of ML algorithms were tested; classical machine learning methods, namely, support vector machine (SVM) and k-nearest neighbors (KNN), and ensemble learning methods such as random forest (RF) and light gradient boosting machine (LightGBM). The ML models were trained and evaluated using two datasets: the first is composed of the extracted GLCM features only, and the second combines GLCM and HSV descriptors. …”
Get full text

Solution for Processing Pelvic Bone Metastases with Halcyon TM 2.0 on Lateral and Longitudinal Isocenters Treatment Plans Using the VMAT Technique: A Comparative Study by Morad Erraoudi, Kaoutar El Bouchiti, Yassine Herrassi, mohamed El ghalmi, Yassir Raoui, Youssef Bouzekraoui, FARIDA BENTAYEB, Lalla Btissam Drissi

Get full text

3D-Printed Anthropomorphic Phantom Framework for Spectral Photon-Counting CT: A Breast Phantom Application by Kyriaki Katsikari, Nadine Francis, Nabil Maalej, Charalampos Pitsalidis, Aamir Younis Raja

“…The breast phantom was created by segmenting an MRI image from the Duke Breast Cancer MRI dataset into two models: one for skin, fibroglandular, and carcinoma tissues, 3D-printed with e-PLA resin, and another for adipose tissue, replicated using paraffin wax. …”
Get full text

CONTEXTUAL LEARNING IN THE MODERN PRESCHOOL CURRICULUM by Danica Veselinov, Ljiljana Kelemen Milojević, Jasmina Mirković

“…The modeling of a modern preschool curriculum is contextually conditioned and represents a complex process. …”
Get full text

Detection of Crop Damage in Maize Using Red–Green–Blue Imagery and LiDAR Data Acquired Using an Unmanned Aerial Vehicle by Barbara Dobosz, Dariusz Gozdowski, Jerzy Koronczok, Jan Žukovskis, Elżbieta Wójcik-Gront

“…This study evaluates two methods for assessing maize crop damage using UAV-acquired data: (1) a deep learning-based approach employing the Deepness plugin in QGIS, utilizing high-resolution RGB imagery; and (2) a method based on digital surface models (DSMs) derived from LiDAR data. Manual visual assessment, supported by ground-truthing, served as the reference for validating these methods. …”
Get full text

Social Participation of the Russian and Armenian Students in the Socio-Cultural Development of Cities by M. V. Pevnaya, E. A. Shuklina, A. N. Tarasova, L. A. Asoyan

“…To identify factors that activate the social participation of students, a discriminant analysis has been used. Discriminant models were constructed dividing groups of students from different countries with a high and low degree of readiness for social participation, as well as into groups with and without volunteering experience. …”
Get full text

Efficient task scheduling and computational offloading optimization with federated learning and blockchain in mobile cloud computing by Matheen Fathima G, Shakkeera L

“…FL permit mobile users to train models without sending raw data to third-party servers. …”
Get full text

A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity by J. Pitarch, V. E. Brando, V. E. Brando

“…<p>This data paper outlines the development and the structure of a new synthetic dataset within an extended optical domain, encompassing inherent and apparent optical properties (IOPs and AOPs) alongside associated optically active constituents (OACs). Bio-optical modeling benefited from knowledge and data accumulated over the past 3 decades, enabling the imposition of rigorous quality standards and the definition of novel bio-optical relationships that are significant contributions on their own. …”
Get full text

Dynamic heat transfer mechanisms of internal thermal mass: Effects of thermal conductivity and diffusivity under varied temperature conditions by Ru Yang, Liting Yuan, Dong Zhang, Taiquan Wu, Yihang Lu

“…However, there is currently a lack of analytical models to describe this relationship. This study investigates the dynamic heat transfer performance of internal thermal mass under constant indoor air temperature, exponentially declining temperatures, and sinusoidal heating and cooling conditions. …”
Get full text

Understanding variation in management of early-onset neonatal sepsis in India: a vignette-based survey by Christina M Schumacher, Samuel McAleese, Tushar B Parikh, Basma Ouddi, Julia Johnson

“…Variation in reported initiation and discontinuation of empiric antibiotic use by institutional capacity and antimicrobial stewardship initiatives were assessed using logistic regression models.Results Of 317 respondents, most (91%) reported antimicrobial stewardship initiatives at their institution and 56% reported receiving blood culture results within 48 hours. …”
Get full text

Morphologically-analyzed and syntactically-annotated Quran datasetMendeley Data by Majdi Sawalha, Faisal Al-Shargi, Sane Yagi, Abdallah T. AlShdaifat, Bassam Hammo, Mariam Belajeed, Lubna R. Al-Ogaili

“…This paper introduces the Morphologically-Analyzed and Syntactically-Annotated Quran (MASAQ) dataset, a comprehensive resource designed to address the scarcity of annotated Quranic Arabic corpora and facilitate the development of advanced Natural Language Processing (NLP) models. The Quran, being a cornerstone of classical Arabic, presents unique challenges for NLP due to its sacred nature and complex linguistic features. …”
Get full text

Enhancing CO₂ Adsorption on MgO: Insights into Dopant Selection and Mechanistic Pathways by Shunnian Wu, W. P. Cathie Lee, Hashan N. Thenuwara, Xu Li, Ping Wu

“…Our comprehensive research, integrating computational modeling and experimental work supported by scanning electron microscopy and thermal gravimetric analysis, confirmed the superior CO₂ adsorption capabilities of C-doped MgO. …”
Get full text

Self-testing for pregnancy: a systematic review and meta-analysis by Ping Teresa Yeh, Caitlin E Kennedy, Manjulaa Narasimhan, Karima Gholbzouri

“…Meta-analysis was conducted using random effects models. Findings were summarised in GRADE evidence profiles and synthesised qualitatively.Results For effectiveness, four randomised trials following 5493 individuals after medical abortion showed no difference or improvements in loss to follow-up with home pregnancy self-testing compared with return clinic visits. …”
Get full text

Three-Dimensional Numerical Simulation of Fracture Extension in Conglomerate Fracturing Considering Pore-Fracture Seepage and Study of Influencing Factors by Zehao Xu, Haiyang Zhao, Xiangjun Liu, Lixi Liang, Pandeng Luo

“…Considering the limitations of physical experiments and two-dimensional (2D) numerical modeling, this paper adopts the continuum-discontinue element method (CDEM) to carry out numerical simulation of three-dimensional (3D) conglomerate fracturing considering pore-fracture seepage. …”
Get full text

A durability- based design approach for structural applications with advanced cement-based materials by Francesco Soave, Liberato Ferrara

“…In the literature, different models are available that can describe the mechanisms of degradation associated with the aforesaid exposure conditions. …”
Get full text