bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early Detection of Mental Health Issues through Machine Learning: A Comparative Analysis of Predictive Models
Authors: kortas Habiba , Jemili Farah , Korbaa Ouajdi 
Published: October 2024

Abstract

Mental health is a pivotal aspect of human well-being, yet it remains under-recognized and stigmatized in many societies. This study explores the integration of artificial intelligence and machine learning techniques to enhance the early detection and management of mental health disorders. By analyzing comprehensive datasets encompassing sociodemographic, medical, and environmental factors, we developed and evaluated several predictive models. Our approach included logistic regression, K-nearest neighbors, decision trees, random forests, bagging, boosting, stacking, and neural networks. The models were trained and tested to predict mental health issues, with performance metrics including accuracy, precision, recall, and F1-score. The results indicate that ensemble methods and neural networks outperform traditional algorithms in predicting mental health conditions, offering a promising direction for early intervention and proactive mental health management. This research highlights the potential of machine learning to transform mental health care by providing accurate, data-driven insights for early detection and intervention.
Computational Insights into Transition Metal-Based BaCoX3 (X = Cl, Br, I) Halide Perovskites for Spintronics, Photovoltaics, and Renewable Energy Devices
Authors: Rahman Arafat , Kabir Alamgir , Mahmud Tareq 
Published: October 2024

Abstract

Ab-initio simulations using density functional theory (DFT) were employed to investigate the structural, mechanical, electronic, magnetic, optical, and thermoelectric properties of halide perovskites BaCoX3 (X = Cl, Br, I). Structural optimization and mechanical stability assessments confirm the reliability of these perovskites in a hexagonal P63mc symmetry. The stability of the ferromagnetic phase was validated through total crystal energy minimization via Murnaghan’s equation of state. Electronic band structures and density of states, derived from the generalized gradient approximation (GGA), reveal a semiconducting ferromagnetic nature in the spin up channel, spotlighting their potential in semiconductor spintronic applications. Phonon dispersion analysis of BaCoCl3 demonstrated positive phonon frequencies across the entire Brillouin zone, confirming its dynamical stability. The elastic constants confirm the mechanical stability and ductile nature of the perovskites. Optical and dielectric properties of these perovskites show significant UV absorption and photoconductivity, making them highly suitable for optoelectronic and solar cell applications. Finally , transport properties, such as the Seebeck coefficient, electrical conductivity, thermal conductivity, power factor, and figure of merit (ZT) unveil their exceptional thermoelectric performance. Combining half-metallic ferromagnetic traits with superior ther-moelectric and optoelectronic performance positions BaCoX3 compounds as exceptional candidates for applications in spintronics, optoelectronics, and thermoelectrics. This comprehensive investigation demonstrates their ability to excel across a diverse array of advanced technological applications.
A Comparative Study of Rigid Three-Dimensional Image Registration Methods for Powder Bed Fusion with Laser Beam of Metals
Authors: Chand Keerthana , Fritsch Tobias , Oster Simon , Ulbricht Alexander , Poka Konstantin , Bruno Giovanni 
Published: October 2024

Abstract

In the Powder Bed Fusion with Laser Beam of Metals (PBF-LB/M), precise rigid three-dimensional (3D) image registration between X-ray Computed Tomography (XCT) scans and Computer-Aided Design (CAD) models is an important step for the quantification of distortions in produced parts. In this study, we conduct a comparative analysis of various rigid 3D registration methods useful for quality assurance of PBF-LB/M parts including feature-based, intensity-based, and point cloud-based approaches. To quantify the accuracy of rigid registration, we introduce a gold standard for 3D image registration and accuracy measurement in Additive Manufacturing (AM), with a proof of concept demonstrated in PBF-LB/M. The performance of each registration method is evaluated based on measures of alignment accuracy and computational efficiency. Our results indicate significant differences in the efficacy of these methods, with point cloud based Coherent Point Drift (CPD) showing superior performance in both alignment and computational efficiency. The rigidly registered 3D volumes are used to estimate the deformation field of the printed parts relative to the nominal CAD design using Digital Volume Correlation (DVC). The quality of the estimated deformation field is assessed using the Dice score metric. This study provides insights into methods for enhancing the precision and reliability of AM process.
Gradually Thermal Diffusing of Silver on Amorphous GeSe Thin Film; Structural and Optical Properties
Authors: Rashad M. , EL-Mahdy Ahmed F. M. , Moustafa Samar , Fares Hesham 
Published: October 2024

Abstract

Binary glasses of GeSe are prepared by melt quench technique. Two layers of thin film preparation have been done by the conventional thermal evaporation technique on glass substrate. GeSe with 340 ± 5 nm thickness is prepared as first layer, then thin silver layer are evaporated on top of the GeSe film. The GeSe with Ag on top of the film were annealed at different time of 30, 60, 90, and 180 and 210 min at 573 K of temperature. Subsequently, we have analyzed the films using scanning electron microscopy (SEM) and X-ray diffraction (XRD) to confirm the successful diffusion of Ag on GeSe films. XRD measurements show that as prepared Ag/GeSe have amorphous natures. Optical transmission and reflection spectra of the studied thin films are measured in the wavelength range of 200 − 2500 nm at room temperature. The optical properties of the new films were studied before and after annealing at different annealing times due to gradually thermal diffusing of Silver on GaAs. The absorption coefficient (α) as an optical constant is determined as a function of annealing times. Moreover, the values of the third-order nonlinear optical susceptibility increased with an increase of annealing temperatures due to gradually thermal diffusing of Silver. The results indicate that Ag/GeSe has great potential for various applications including optical sensors and optoelectronics.
Do You Actually Need an LLM? Rethinking Language Models for Customer Reviews Analysis
Authors: Xiao Yang , Li Yunke , Chen Shaoyujie , Rad Ryan , Barker Hayden 
Published: October 2024

Abstract

Large language models (LLMs) have demonstrated impressive capabilities in natural language processing, but their high computational costs raise questions about their practical utility compared to small language models (SLMs). This study presents a comprehensive comparison of SLMs and LLMs on two critical customer review analysis tasks: sentiment polarity classification and correlation analysis with product categories. We evaluate state-of-the-art SLMs (DistilBERT, ELECTRA) and LLMs (Flan-T5, Flan-UL2) using benchmark datasets, assessing accuracy, F1 scores, computational runtime, memory usage, and FLOPs. Our findings reveal that LLMs excel in sentiment polarity classification but at significantly higher computational costs, while SLMs demonstrate superior performance and efficiency in the domain-specific correlation analysis task. To optimize the trade-off between accuracy and efficiency, we propose a novel hybrid system integrating SLMs and LLMs through a tiered processing strategy. This research provides valuable insights into the strategic utilization of language models for customer review analysis, enabling businesses to make informed decisions that balance computational resources and accuracy requirements. Our results have important implications for the practical application of AI in business analytics and customer insight generation.
Persistent Right Aortic Arch, Megaesophagus and Tracheal Stenosis in a White-tailed Deer Newborn (Odocoileus virginianus ustus) at Antisana National Park, Ecuador
Authors: A. F.J. Cabrera , Delgado-Ruilova E.M. , Sáenz C. , B. A. Ordoñez 
Published: October 2024

Abstract

Persistent Right Aortic Arch (PRAA) with retention of the left ductus arteriosus constitutes the most prevalent clinically significant form of vascular ring anomalies in both dogs and cats, accounting for approximately 95% of aortic arch developmental anomalies. This anomaly causes esophageal compression in weaned animals, leading to restricted passage of solid food, postprandial regurgitation, and potential development of acquired megaesophagus. Notably, neonatal, or lactating animals usually do not exhibit these consequences. While PRAA is well-documented in dogs and cats, its occurrence in wild or domesticated ungulates is a rare and intriguing phenomenon, shedding light on congenital cardiovascular anomalies in such species. In this case, a female neonate White-tailed Deer, weighing 2 kg, was delivered to the TUERI Wildlife Hospital at San Francisco de Quito University, Ecuador, following its discovery by tourists in the Antisana National Park. Despite receiving substitute feeding and fluid therapy, the specimen faced challenges in milk transit to the abomasum, resulting in postprandial regurgitation. Imagenologic examinations aimed at elucidating the cause of regurgitation were hindered by forelimbs’ muscle contractions. Nonetheless, these procedures facilitated a presumptive diagnosis of secondary Megaesophagus attributed to a Persistent Right Fourth Aortic Arch (PRAA)., The specimen was euthanized, and the carcass underwent necropsy, revealing a PRAA with distinctive anatomical features, including esophageal dilation, tracheal stenosis, and a constricting vascular ring surrounding both esophagus and trachea. This unique case underscores the importance of considering congenital anomalies in wildlife health assessments and contributes to our understanding of cardiovascular anomalies in wildlife species.
The Therapeutic Potential of Metformin for Attenuating Postsurgical Adhesion Band Formation
Authors: Yarmohammadi Zahra , Mehrabadi Shima , Asgharzadeh Fereshteh , Noureini Sakineh Kazemi , Nazari Seyedeh Elnaz , Hoseinian Sayyed Hadi Sayyed , Shahri Hassan Mottaghi Moghaddam , Hassanian Seyed Mahdi , Ghorbani Hamid Reza , Ferns Gordon A. , Khazaei Majid , Avan Amir 
Published: October 2024

Objectives:
Intra-abdominal adhesions are the most frequently occurring postoperative
complication following abdominopelvic surgery. Peritoneal adhesion formation can lead to infertility,
chronic pelvic pain, and intestinal obstruction. Several studies have shown the potential role of
metformin in reducing inflammation. Here, we explored the therapeutic potency of Metformin
against postsurgical adhesion band formation.

Methods:
We adopted Animal Research: Reporting of In Vivo Experiments (ARRIVE) guidelines for
the experimental protocol. Peritoneal adhesions were examined macroscopically .Metformin (100
mg/kg) was administered intraperitoneally in male albino Wistar rats. After 9 days, macroscopic
evidence and score of fibrotic bands based on scaling methods were performed and evaluated by the
Nair and Leach scoring system. Moreover, the anti-inflammatory and antifibrosis effects were investigated
by using hematoxylin and eosin, Masson's trichrome staining, the enzyme-linked immunosorbent
assay (ELISA), and reverse transcription polymerase chain reaction (RT-PCR).

Results:
Metformin inhibited the stabilization of adhesion bands and appeared to elicit antiinflammatory
responses by attenuating submucosal edema, suppressing proinflammatory cytokines,
decreasing proinflammatory cell infiltration, and inhibiting oxidative stress at the site of peritoneal
surgery. We also showed that metformin prevents fibrotic adhesion band formation by reducing excessive
collagen deposition and suppression of profibrotic gene expression at the peritoneum adhesion
tissues via modulation of Col 1A1/A3.

Conclusion:
These results supported the potential application of metformin in preventing postsurgical
adhesion band formation by inhibiting key pathologic responses of inflammation and fibrosis in
patients post-surgery.
Lichen Planus Pigmentosus and Vitiligo in a 61-Year-Old Filipino Man: Case Report
Authors: Belizario Maria Isabel , Gatmaitan Julius Garcia , Dayrit Johannes 
Published: September 2024

Abstract
Pigmentary disorders have been implicated in causing psychosocial turmoil in patients as they can cause some degree of cosmetic disfigurement. Lichen planus pigmentosus (LPP) presents as ashy, dermatosis-like eruptions on sun-exposed areas, particularly on the head, neck, and earlobes. On the other hand, vitiligo is a chronic disorder that appears as depigmented patches on the skin. A 61-year-old man with Fitzpatrick skin phototype IV presented to us initially with LPP but eventually also developed vitiligo. The patient was treated with low-dose oral isotretinoin for LPP and topical tacrolimus 0.1% ointment for both LPP and vitiligo with a good clinical outcome. One case of segmental vitiligo and zosteriform LPP, affecting a 22-year-old Indian woman, has been previously reported in the English-language literature. An autoimmune etiology that causes melanocytorrhagy may be a plausible hypothesis for the coexistence of these 2 conditions.
Cyanotic heart defects in children: neurological aspects of the problem
Authors: Fedushka H.M. 
Published: September 2024

Background. The goal is to justify the need to monitor neurodevelopment in children with congenital heart defects (CHD) and to study neurological disorders in patients under 3 years of age with cyanotic heart defects. Materials and methods. Modern research on the neurodevelopment of children with CHD were analyzed. Sixty-two patients with cyanotic heart defects who underwent examination and surgical treatment at the Center for Pediatric Cardiology and Cardiac Surgery of the Ministry of Health of Ukraine were studied. They are divided into 2 groups: group 1 are children with critical cyanotic CHD and group 2 — with non-critical cyanotic CHD. The control group consisted of 35 healthy patients. A neurological examination was performed using standardized neurological scales. Data processing was carried out using the Stata 12.1 licensed statistical package. Results. Neurodevelopmental disorders were diagnosed in 33 (53 %) of 62 children with cyanotic CHD: in group 1 — in 29 % of cases and in group 2 — in 24 %. These groups were statistically homogeneous in terms of gestational age (p = 0.492) and body weight at birth, with no significant difference from the control group. Older age is characterized mainly by delays in the stages of motor development (16 % in group 1 and 15 % in group 2) and speech disorders (7 % in group 1 and 3 % in group 2). Acute disorders of cerebral circulation (6 % in group 2) and the presence of epileptic seizures (up to 3 %) were characteristic of children under 1 year. Apgar score was lower in patients with critical cyanotic CHD with neurodevelopmental delay and a longer duration of artificial circulation during surgical treatment. Conclusions. 1. Neurological disorders were diagnosed in 53 % of patients with cyanotic heart defects: in 29 % with critical heart defects and 24 % with non-critical heart defects. 2. Older children are characterized mainly by delays in the stages of motor development and speech disorders. Behavioral disorders are more typical for children with non-critical CHD. Acute disorders of cerebral circulation and the presence of epileptic seizures were characteristic of children under 1 year of age. 3. The influence of body weight and gestational age on neurodevelopmental disorders is excluded. The severe state of children with neurodevelopmental delay at birth and an increase in the duration of artificial circulation during surgical treatment were found. 4. Interdisciplinary examination of patients with cyanotic heart defects, including examination by a pediatric neurologist, as well as a follow-up is necessary for timely referral to the next stages of rehabilitation.
A Corpus-based Behavioral Profile Study of Synonymous Expressions Meaning “to Start”
Authors: Shi Kexin 
Published: September 2024

Synonymy is an extremely significant component in language learning, and the usage of synonymy is rather flexible and difficult to distinguish. In this research, the author employs a corpus-based behavioral profile approach to study the usage of a set of English synonymous expressions meaning “to start”, namely, start, begin, commence, launch, set out. The author first searches in American Contemporary English Corpus to explore the overall usage frequency and specific genre of each synonymous expression, then randomly selects 500 sentences, and makes manual annotation with 12 ID tag and 46 ID tag levels. Later, hierarchical clustering analysis and correspondence analysis have been employed to examine the semantic differences and usage structures of this set of expressions.The results shows that: ① The overall usage frequency varies greatly—from the highest to the lowest are start, begin, launch, set out, commence. ② They are used in various genres. Start is mainly used in informal styles including blogs, while the other four are mainly used in formal styles, including fictions and magazines. ③ Begin and set out have the greatest semantic similarity; start, begin, and set out form one semantic branch, and commence and launch form another, and there is a huge difference between these two branches. ④ There are great differences between the five expressions and their morphological, syntactic and semantic changes.Quantitative analysis method has been used to reveal the different semantic features and usage of a set of synonymous expressions, which is conducive to both promote the study of synonymous relations, and verify the effectiveness and applicability of the behavioral profile approach in semantic study.
Service Operations Management and Administrative Efficiency of a Technology University in GuangDong China
Authors: Zheng Ying 
Published: September 2024

Service operation management has a significant impact on administrative efficiency. In a science and technology university in Guangdong Province, the diversity and complexity of service demand have a direct impact on the allocation of administrative resources. For example, with the increasing emphasis on scientific research services, more administrative resources are needed to optimize the process of scientific research equipment procurement and scientific research fund management. In terms of teaching services, if the school decides to carry out a new characteristic curriculum, the administration needs to allocate resources to arrange suitable classrooms and provide appropriate teaching equipment. This kind of demand change in service operation and management always tests the rationality and timeliness of resource allocation of administrative departments. If the administrative departments cannot efficiently adjust resource allocation according to service needs, it will lead to bottlenecks in service operation and affect the overall quality of teaching and scientific research services. The efficiency of administrative management also has a negative effect on service operation management. Efficient administrative management can bring positive promoting effect to service operation management.
The Overstated Challenge: Analysing the Challenge of Southern Criminology to the Hegemony of Northern Criminology and its Implications for Criminological Theory in the 21st Century
Authors: Zhou Shilun 
Published: October 2024

In an era marked by the escalating globalisation of crime, the import of Southern criminology has progressively transitioned from a marginalised field to a central focus in research.[1] This transition presents theoretical challenges to criminology in the Northern Hemisphere.[2] This essay posits that while Southern criminology challenges Northern criminology’s hegemony, these challenges are ultimately overstated. Recognising and addressing these challenges is imperative for improving the epistemological framework and theoretical contributions of criminology, thereby equipping it to confront 21st-century criminal phenomena more effectively.

[1] Matthews, Roger. “False Starts, Wrong Turns and Dead Ends: Reflections on Recent Developments in Criminology.” Critical Criminology 25, no. 4 (2017): 577-591.
[2] Greenberg, David F. “The Weak Strength of Social Control Theory.” Crime & Delinquency 45, no. 1 (1999): 66–81.
Radial Basis Function Neural Network with ensemble clustering for modeling mathematics achievement in Indonesia based on cognitive and non-cognitive factors
Authors: Wutsqa Dhoriva Urwatul , Prihastuti Pusparani Puan , Fauzan Muhammad , Listyani Endang 
Published: September 2024

Mathematics achievement could be influenced by cognitive and non-cognitive factors. The potential variable of cognitive factor is metacognition, whereas non-cognitive factors include Economic, Social, and Cultural Status (ESCS), resilience, life satisfaction, happiness, pride, fear, sadness, and gender. Those variables involve numerical and categorical data. For this reason, this study aims to apply the Radial Basis Function Neural Network (RBFNN) model with ensemble clustering to model the relation between cognitive and non-cognitive aspects and mathematics achievement. The RBFNN is a soft computing approach based on the neural network model and has been shown as an effective model and free of assumption. The ensemble clustering is a process in RBFNN modeling to capture the independent variables involving the numerical and categorical data. It employs K-means clustering for the numerical data and K-modes for categorical data and combines the results of those two methods. The data used in this study are published by PISA (Program for International Student Assessment) 2018. The results show that the RBFNN with ensemble clustering deliver good performance in modeling the students’ mathematics achievement based on the cognitive and non-cognitive factors in terms of prediction accuracy. Other than RBFNN model, the use of cognitive and non-cognitive factors involving in this study also contributes to the high accuracy prediction. This further emphasizes that these factors are good predictors of mathematic achievement. Additionally, we suggest the silhouette cluster validation in the clustering process, since it leads to the number of hidden neurons of the best RBFNN model.
When designer meets local culture: The promising learning trajectory on the surface area of polyhedron
Authors: Adha Idul , Zulkardi  , Putri Ratu Ilma Indra , Somakim  
Published: September 2024

Polyhedrons present a challenging topic in elementary geometry education. The Indonesian Realistic Mathematics Education (IRME) approach, when contextualized within the Bukit Sulap tourism area, offers a promising solution to this challenge. This study aims to design a learning trajectory for teaching the surface area of polyhedron using IRME in the context of Bukit Sulap tourism. Employing a research design with a validation study type, the study was conducted in three phases: preparation and design, experimental teaching, and retrospective analysis. The participants were 27 elementary school students from Lubuklinggau City, Indonesia. Data collection instruments included surface area problem-solving worksheets, video recordings of in-depth learning interviews, field notes, and observation sheets. The findings suggest that the Bukit Sulap tourism context significantly enhanced students' understanding of surface area problems, specifically those involving combinations of cuboids and cubes. Additionally, IRME effectively facilitated students' comprehension of abstract mathematical concepts, particularly the surface area formulas for cubes and cuboids. The study concludes that using the Bukit Sulap tourism park context as a starting point for teaching the surface area of polyhedron aligns well with the principles of IRME.