bluuebunny/crossref_metadata_2025 huggingface dataset:
PSYCHOTHERAPY: A COMPARISON OF ABU ZAYD AL-BALKHI AND CBT
Authors: Taibah Scientia Afifah , Hawadi Lydia Freyani , Al-Asyhar Thobib
Published: December 2023

Mental health problems are still prominent topics among countries in the last few decades, and Indonesia is no exception. According to the World Health Organization (WHO), a healthy mental state entails individuals realizing and maximizing their potentials, effectively managing life's pressures, excelling in their studies and work, and making meaningful contributions to society. Promotion of the importance of mental health and its treatment has been abundant, but psychotherapy with a religious approach has not received much attention. This study reviews the thoughts of Abu Zayd Al-Balkhi as a pioneer in cognitive therapy, positive psychology, and its relation to the development of Cognitive Behavioral Therapy (CBT) which was first developed by Aaron T. Beck and further developed in the era of modern psychology. There are several similarities in Al-Balkhi's thoughts and the concept of CBT, including views on depression, its symptoms and treatment, as well as the importance of cultivating positive and rational thoughts in treating patients with psychological disorders. The difference between the two lies in the perspective of religiosity instilled by Al-Balkhi, that faith is important in observing worldly problems, and the awareness that true happiness lies in the hereafter. In addition, CBT has undergone significant development both in terms of the disciplinary aspects of psychology and its application in people's lives. The results of this qualitative study are expected to provide an alternative psychotherapy in dealing with mental health problems for Muslim communities.
THE MOTIVATION AND MEANING OF VISITING SACRED PLACES FOR INDONESIAN MUSLIMS
Authors: Baidun Akhmad , Latifa Rena , Muchtar Desi Yustari , Rahmah Muthia , Nyhof Melanie
Published: December 2023

Muslims often visit places that are considered sacred or have spiritual significance in their lives. This study aims to (1) identify what places are considered sacred places and are often visited by Indonesian Muslims, (2) identify what motivations underlie the trip to visit these sacred places, (3) identify what meanings are obtained from activities to visit sacred places, (4) examine the effect of motivation on the meaning of visiting sacred places. The participant of this research is 225 Indonesian Muslims. Construct validity was analyzed using Confirmatory Factor Analysis through LISREL 8. 7. Data analysis was performed using multiple linear regression with SPSS. The results showed that (1) there are several places that are considered as sacred places and often visited by Muslims, namely the cemeteries of family, ancestor, ‘wali’ and ‘kyai’, important figures, grand mosque in each part of the country, Mecca/Medina and Islamic historical places, (2) There are several motivations in visiting the sacred place, namely: religious motive, spiritual motive, new experience motive, cultural motive, outdoor and natural motive, motivation to break from routine, motivation to meet people and visit other places, and motivation to fulfill promises or traditions, (3) there are 2 meanings obtained from visiting sacred places, namely: vertical self-transcendence and horizontal self-transcendence, (4) vertical self-transcendence is influenced by religious and spiritual motivation, while horizontal self-transcendence influenced by religious motives, outdoor and natural motives, break from a routine motive.
PSYCHOLOGICAL CAPITAL AND PRINCIPAL LEADERSHIP STYLE ON THE TEACHER'S PERFORMANCE IN INDONESIAN MADRASAH: JOB SATISFACTION AS A MEDIATOR
Authors: Masdianah Masdianah , Syahid Achmad , Saloom Gazi , Moormann Peter Paul
Published: December 2023

Madrasah principals and teachers become an entry point for policy to address disparities in student achievement and quality of madrasahs in Indonesia. Unfortunately, not many studies have tested the theoretical model of teacher job satisfaction as a mediator of the influence of teacher psychological capital and principal leadership style on teacher performance. The population of this study was public and private madrasah teachers in Malang Regency, East Java, Indonesia. At the same time, the research sample consisted of 356 teachers selected by the purposive sampling method. The measuring tool uses the Psychological Capital Questionnaire (PCQ-24), the Multifactor Leadership Questionnaire (MLQ)-5X, and the Job Satisfaction Survey (JSS). Testing construct validity used confirmatory factor analysis (CFA), while data analysis used Structural Equating Modeling (SEM) with Mplus 7.4 software. The results of SEM show that the theoretical model of teacher job satisfaction as a mediator variable in the influence of teacher psychological capital and leadership style of madrasah principals on teacher performance fit the empirical data. The results also show that teacher job satisfaction mediates the effect of teacher psychological capital and principal leadership style on teacher performance, but the direct effect of the two independent variables on the dependent variable is stronger.
Views of Psychological Counselors Involved in Post-Earthquake Psychosocial Support Activities Regarding the Support Process
Authors: Bayhan Özlem , Şentürk Şener , Kinsiz Damla Nur
Published: December 2023

The purpose of this research is to reveal the views and recommendations of guidance counselors involved in psychosocial support activities regarding the support process after the earthquake centered in Kahramanmaraş, known as one of most catastrophic disasters of the century. The research is structured in the form of a case study design, which is one of the qualitative research types. The study group consists of 21 participants who are psychological counselors working in Samsun and who volunteered to provide psychosocial support by travelling to the earthquake-affected region. In the research, a demographic information form and a semi-structured interview form were used as data collection tools. The research data were analyzed using the content analysis method. The research data were categorized into three themes: process, coping skills, and recommendations. In the research, it was determined that guidance counselors involved in psychosocial support activities were affected by trauma, therefore, it is essential to emphasize preventive mental health studies for those involved in psychosocial support activities and volunteers who want to contribute to the support process should be strengthened through pre-process training before the process.
Education in Disaster Situations: The Impact of The Kahramanmaraş Earthquake on Teachers' Experiences
Authors: Arıcı Faruk , Bozkaya Hasan , Cengiz Ekrem , Kuzey Memet
Published: December 2023

This study examines how the earthquake that occurred on February 6, 2023, in Kahramanmaraş, Turkey, has affected educational activities in the region. The research utilized questionnaires to survey teachers and gather information about the main problems they experienced after the earthquake and their solution suggestions. The findings provide valuable insights for educators and policymakers to tackle the challenges teachers and students face after a natural disaster. The study employed a basic qualitative research design within qualitative research methods. The study group comprised 42 volunteer teachers from eleven different Turkish provinces at various education levels who experienced the February 6, 2023, earthquake centered in Kahramanmaraş and participated in educational activities in the same area following the earthquake. The group of research participants was selected through easily accessible case sampling, one of the types of purposeful sampling. The data collected underwent content analysis. As per the study results, teachers detected issues that have arisen after the earthquake in the realms of educational infrastructure, psychosocial well-being, security, communication, and other factors. They then devised individual and collaborative solutions to address these challenges. Additionally, the study discussed the proposed solutions of teachers for addressing the psychosocial issues that students face in the aftermath of an earthquake. It provides crucial insights for comprehending the problems in post-earthquake education and extending support to students. Teachers' recommendations for enhancing earthquake education and awareness can significantly aid future preparedness and crisis management.
First-principles study on the negative/zero area compressibility in Ag3BO3 with “wine-rack” architecture
Authors: Zhang Xingyu , Liu Youquan , Wang Naizheng , Jiang Xingxing , Lin Zheshuai
Published: December 2023

Materials with negative/zero area compressibility (NAC or ZAC), which expand or keep constant along two directions under hydrostatic pressure, are very rare but of great scientific and engineering merits. Here, we investigate “wine-rack” architecture, which is the most prevailing for the pressure-expansion effect in materials, and identify that two allotropes (Ag3BO3-I and -II ) of Ag3BO3 have the ZAC and NAC effects, respectively, by the first-principles calculations. Structural analysis discloses that the competition between the contraction effect from the bond length/angle shrinkage and the expansion effect from the angle closing between O-Ag-O bars and the (a , b ) plane dominates the occurrence of ZAC/NAC, and the framework openness governs the competing balance in this system. This work deepens the understanding of “wine-rack” models and enriches the NAC/ZAC family.
Topological transformation of magnetic hopfion in confined geometries
Authors: Gao Yang , Li Shuang , Zhao Yuelei , Zhu Zhaozhao , Cao Linyu , Xu Jiawang , Zhou Yan , Wang Shouguo
Published: December 2023

Three-dimensional (3D) topological magnetic structures have attracted enormous interest due to their exceptional spatial structures and intriguing physics. Hopfions, characterized by the Hopf index, are 3D spin textures that emerged as closed twisted skyrmion strings. A comprehensive understanding of magnetic structural transitions within nanostructures is crucial for their applications in spintronics devices. Despite the demonstration of stabilization and current-driven dynamics of hopfion, their behavior in geometric confinement has remained unexplored. Here, we investigate the transformation between hopfions and torons in various nanostructures using micromagnetic simulations. By tailoring the axial ratio of elliptical nanodisks, the elliptical hopfion is found to be transformed into a toron structure. Moreover, the current-driven topological transformation between hopfion and toron has also been realized in finite-sized nanostripes and stepped nanostructures. This deformation and transformation arise from the repulsive potential of the boundaries or edges. To connect real-space observations and 3D topological spin configurations, we simulate the Lorentz transmission electron microscope images of the aforementioned magnetic structures. This study, uncovering the dynamics and transformation of hopfions, will invigorate 3D magnetic structures-based memory and logic devices.
An exploration of public key infrastructure applications across diverse domains: a comparative analysis
Authors: Dulia Oleksandr , Minochkin Dmytro
Published: December 2023

This article delves into the vital role of Public Key Infrastructure (PKI) in securing and authenticating communications across a multitude of fields. PKI has evolved from a mere technical concept into a cornerstone of secure digital communications, playing a central role in various domains such as web security, healthcare, finance, the Internet of Things (IoT), and government services. PKI employs cryptographic techniques and digital certificates to establish trust, ensure data integrity, and enable secure communications, thus acting as the backbone of digital security. In the wake of the digital revolution, the demand for reliable and robust security solutions has skyrocketed. The diversity and scale of modern digital platforms necessitate adaptable security solutions, a challenge which PKI tackles through its flexible implementation. Despite sharing core principles, the implementation of PKI demonstrates divergences influenced by factors such as scale, complexity, resource constraints, regulatory environments, and trust models. This article offers an extensive comparison of PKI's utilization across various domains, highlighting the commonalities and divergences. It explores how PKI is tailored to meet the unique requirements and challenges of each sector and discusses the certificate lifecycle management in varying contexts. Moreover, it provides an analysis of the current state of PKI applications and challenges, offering insights into the evolving landscape of threats and technologies. Not only does the article address the current state of PKI, but it also presents a forward-looking perspective on its potential future developments. As the digital landscape continues to evolve and expand, it is crucial to anticipate the emerging challenges and devise strategies for proactive adaptation. This article thus serves as a comprehensive resource for understanding the role and impact of PKI in the contemporary digital infrastructure. Ultimately, the article seeks to underline the importance of PKI and highlight the need for continued research and development in this area. As our reliance on digital communications and transactions continues to grow, the role of PKI in safeguarding these interactions becomes increasingly significant. This comprehensive review serves as a valuable resource for researchers, practitioners, and policymakers in understanding the diverse applications of PKI and its critical role in securing the digital world.
A complete solution for anti-jaming radio data-link of an unmanned aerial vehicle
Authors: Saliy Oleksandr , Hol Vladyslav , Divitskyi Andrii , Khakhlyuk Oleksiy
Published: December 2023

The effectiveness of an unmanned aerial vehicle's flight mission over a given distance depends on many factors. However, one of the key factors in the successful completion of a flight mission is the availability of high-quality management and control of telemetry by an unmanned aerial vehicle, which in turn is determined by a reliable radio communication between the ground control station and the unmanned aerial vehicle. The current stage of use of unmanned aerial vehicles is characterised by the use of active jammers of various types and purposes, the purpose of which is to disable control channels, navigation channels, telemetry channels and data transmission channels of FPV unmanned aerial vehicles in order to prevent the successful completion of the flight mission of the vehicle. The article considers conceptual issues of implementing a guaranteed interference-free radio data transmission and control of an unmanned aerial vehicle in the conditions of active jamming interference when combining various technological solutions. These solutions include the selection and justification of a special frequency range, the use of structural circuit solutions for interference protection of the radio data transmission and control line; the use of a specific scheme for organising communication with an unmanned aerial vehicle; the use of a transceiver and portable and light antennas for the radio channel that meet reasonable technical requirements; the implementation of the possibility of real-time monitoring of the interference situation on board the unmanned aerial vehicle and detection of the type of interference; ensuring flight in the sector. The requirements were justified and options for selecting a transceiver and antenna were proposed. A structural diagram of the radio line is developed and options for its use as a data transmission and control radio line for an unmanned aerial vehicle are proposed. Examples of real-time tracking of the interference situation on board an unmanned vehicle and detection of the type of interference are given. A flight option in the sector without the use of antenna tracking is calculated and justified. The approximate values of the signal at the receiver input of the unmanned vehicle are calculated.
Damage of materials under proportional loading
Authors: Grabovskiy Anatoly , Bondarets Oleksandr , Babiienko Iryna
Published: December 2023

The work is devoted to the study of material damage during elasto-plastic proportional loading, in particular, the influence of two loading mechanisms, detachment and shear, is taken into account. These mechanisms include viscous, brittle, and visco-brittle modes of failure. The accumulation of scattered damage is considered as a multi-scale and multi-stage phenomenon that occurs during proportional loading at the micro- and meso-levels of the destruction of the metal structural material.
As part of the study, a quantitative assessment of the degradation of the physical and mechanical properties of materials was performed, in particular, changes in the modulus of elasticity E and G, and the definition of equivalent damage arising from an elastoplastic proportional load is proposed. Experimental data on the kinetics of damage accumulation on 12X18N10T steel samples, which were subjected to axial load (tension), shear (torsion) and proportional load with the stiffness parameter of the stress state K = 0.5 before failure, are considered.
The work compares experimental results with theoretical data, damage accumulation. The obtained conclusions contribute to a deeper understanding of the mechanisms of destruction of materials under the action of a proportional load, and can also find practical application in the design and assessment of the load-bearing capacity of structural elements.
Determination of the KIC Fracture Toughness of the X210Cr12 High-Strength Material
Authors: ATEŞ Ergun
Published: December 2023

Purpose: It is an important problem that the machines become unusable due to the deformation of the machine elements produced before the planned time. In this study, it was aimed to determine the KIC value of X210Cr12, which is a high strength material. In this way, more accurate load values can be used in the design.Methods: In the experimental study to determine the KIC value, the sample geometry, the crack depth, the load-dependent parameters and calculations and some conformity checks were carried out. Experimental system; KIC consists of 3-point flexure specimens, a press, an electronic circuit capable of detecting the change in load crack opening, and a logger.Findings: In the study, the loads were determined from experimental graphs. Subsequently, load-crack opening values were determined. With these data, the KIC values were calculated as 719,7 and 839,7 MPa.mm1/2 as the minumum and maximum values, respectively.Conclusion: The experimental graphs are in the form of curves that break abruptly with unstable crack propagation without showing plastic deformation. There is no study in the literature on the KIC value of X210Cr12 and it has been determined that it has a low KIC value compared to the high-strength steels studied. It is valuable to determine the KIC value, as fracture problems may occur in designs prepared with the material. The results of the study are data at room temperature.
Assignment of the cutting mode when boring holes on CNC machine
Authors: Petrakov Yuri , Danylchenko Mariia
Published: December 2023

Due to structural limitations, the processes of boring holes are performed in a low-rigidity machining system, which predetermines their susceptibility to vibrations. The article is devoted to the study of the process of boring holes on CNC machines, and the subject of the study is the effect of the cutting mode on the stability of the machining. The mathematical model of the machining system is presented in the form of a two-mass dynamic system, which forms a closed loop structure with negative feedback by elastic displacement. In addition, positive feedback is taken into account through the delay argument function, which represents machining along traces. It has been proven that this process provokes the emergence of regenerative oscillations in the machining system. The application of the system’s approach made it possible to obtain a mathematical model in the form of state variables, which is acceptable for the use of numerical modeling methods in both time and frequency space. An applied engineering program for determining the stability diagram in "cutting depth - spindle speed" coordinates has been created. The program uses a new criterion of stability of systems closed through positive feedback loop with a delay argument function. For the first time, the validity of such a criterion was proved for systems described by differential equations of the fourth order. The importance of taking into account the results of the study in the form of a stability lobes diagram when assigning a cutting mode, especially in the area of high speeds, is proven. Thus, according to the results of the experiments, a change in speed of only 7% from 2150 rpm to 2320 rpm with the same cutting depth of 0.4 mm allows the process to become stable. The use of the created program is possible in the system of automatic control of the online cutting mode when the machine is equipped with vibration sensors with appropriate systems for identifying the dynamic parameters of the machining system, which will significantly increase the machining efficiency.
The strength and elastic property of PLA + graphite composites: experimental and theoretical analyses
Authors: Rubashevskyi Viktor , Shukayev Sergiy
Published: December 2023

Background. The combination of additive technologies with reinforced materials opens up new vistas for creating lightweight and durable products having unique characteristics. Implementing these technologies into the production requires effective evaluation methods of the ultimate limit state of such products.
Objective. The article deals with the mechanical properties of samples, manufactured by the method of surfacing FDM with two polylactide-based thermoplastic threads: PLA-Cg+ with 5% layered graphite filling and PLA-CCF with 10% carbon fiber filling.
Methods. The impact of 3D printing process parameters, such as print orientation and layer thickness, on specimens' mechanical characteristics under conditions of tension and compression, has been experimentally researched.
Results. It is shown that both print orientation and layer thickness substantially influence specimens' mechanical properties of both materials. A comparative analysis of experimental data with calculations by failure criteria has been carried out: Tsai-Hill, Tsai-Wu, Hoffman, Mises, and maximum stresses.
Conclusions. The results of the tests proved that there is a significant influence of the studied parameters of the printing process on the mechanical characteristics of PLA + graphite specimens under both tension and compression. For the most part, samples with a smaller thickness have both a higher ultimate strength (limit of proportionality) and a greater relative elongation. It is defined that the best concurrence between experimental and calculated data for both materials can be achieved through using the generalized von Mises criterion.
Application of the geometric component of a product digital twin when studying its actual geometric parameters
Authors: Kozlov Sergey , Vanin Volodymyr
Published: December 2023

The article analyzes the results of using the digital twin concept to study changes in the geometric parameters (GP) of an aircraft wing during its production. The concept of creating a product digital twin is put into practice by constructing geometric models of the wing console at each key stage of its manufacture. The main attention is focused on studying the change in the GP of the caisson part of the wing console at the following stages: assembling of consoles in an aircraft fixture, assembling of consoles out of an aircraft fixture and final assembling of an aircraft. It is concluded that the first significant changes in wing GP appear at the stage of removing the wing caisson from the aircraft fixture. It is shown that even with acceptable mold forming characteristics of the aircraft fixture, it does not ensure compliance of the actual wing GP with the design data within the permitted tolerances and cannot be a means of controlling GP. It is substantiated the necessity of implementing into a wing caisson manufacturing technological process a procedure for monitoring the geometric shape of the unit after its removal from an aircraft fixture. It is proposed for a comprehensive assessment of isolated units’ geometric parameters to use a digital model of the aircraft, which is formed at each stage of the product manufacturing based on executed models of the units’ actual surfaces.
Acoustic Modeling and Analysis of Automotive Air-Filters
Authors: Veerababu D. , Sachin C. , Subhashini P.V.S. , Venkatesham B.
Published: December 2023

Air filters are placed upstream of internal combustion engines to remove dust particles in the suction air. In this article, we examine the acoustic characterization of an air-filtering unit in the absence of mean flow. For this purpose, a circular air-filtering unit with an axial inlet and side outlet widely used in the automobile industry is considered. The air-filter element is modeled as an equivalent acoustic fluid with finite flow resistivity. The flow resistivity of the region is estimated from the permeability of the filter paper and the geometrical arrangement of the paper folds (pleats) inside the air-filter element using an electrical analogy. A numerical model based on the finite element method (FEM) and an analytical model using classical one-dimensional plane wave analysis (1-D PWA) was developed. Experiments were carried out using an impedance tube to estimate transmission loss. A good correlation is observed between the FEM model and the experiments. The results obtained from the 1-D PWA are in reasonable agreement with those obtained from the other two methods.
A Simple and Efficient Multicomponent Synthesis of Novel Pyrazole, N-aminopyridine and Pyrazolo[3,4-b]Pyridine Derivatives in Water
Authors: Abdelkhalik Mervat Mohammed , Alnajjar Abdulaziz , Ibrahim Solwan Maher , Raslan Mohammed Abdelmonem , Sadek Kamal Usef
Published: December 2023

The three-component reaction of enaminones, benzaldehyde and hydrazine-HCl or four-component reaction of enaminones, benzaldehyde, hydrazine–HCl and ethyl cyanoacetate in water in the presence of catalytic amount of ammonium acetate has been devised as a straightforward , sustainable approach for the synthesis of 1-H-pyrazole, N-aminopyridine and pyrazol[3,4-b]pyridine derivatives . The key benefits of this approach is simple experimental procedure associated with cost effective and environmentally friendly techniques.
The Diagnosis, Treatment, and Prevention of Glaucoma – An Update
Authors: Allison Karen , Morabito Kevin Andrew , DeAngelis Margaret M. , Patel Deepkumar
Published: December 2023

Glaucoma poses a serious public health concern as it is the second leading cause of blindness after cataracts, while also being the leading cause of irreversible blindness worldwide. Glaucoma is more prevalent among Black, Latino, and Asian populations and it is essential to examine both racial and ethnic disparities that exist in treatment and prevention. As the number of people with glaucoma continues to grow, it is important to review aspects of this condition in order to better care for those affected. This article will review significant forms of glaucoma and what differentiates them in a diagnosis, treatment options, and recommendations on prevention and improving awareness
Evaluation of a Four-Week Online Resilience Training Program for Multiple Sclerosis Patients
Authors: Bock Lotte , Rana Madiha , Westemeyer Lara , Rana Majeed
Published: December 2023

The diagnosis of a chronic disease, such as multiple sclerosis, has both psychological and physical effects. Living with the disease and its uncertain consequences requires a great deal of psychological resilience in order to employ more comprehensive coping strategies in stressful situations. This study investigated the effect of a four-week online self-directed resilience training on the perception of psychological resilience among multiple sclerosis patients. A total of 64 MS patients were recruited for a randomized controlled trial. The experimental group underwent a 28-day online self-directed training program consisting of daily exercises aimed at strengthening a resilient mindset. Psychological resilience was measured through self-assessment immediately before, immediately after, and three months after the training. A repeated measures ANOVA revealed a statistically significant improvement in the perception of four factors related to stress: perceived worries, tension, joy and demands. Two resilience coping strategies were measured, of which one, a resilient orientation, improved significantly in the short and long term. The study suggests that online self-directed resilience training might provide an easily accessible, low-cost option for patients with MS to improve their psychological resilience. The transferability to other patient groups should be examined.
An Extended Version of the r+1Rs;k(B;C; z) Matrix Function
Authors: Shehata Ayman
Published: December 2023

Recently, Shehata et al. [37] introduced the r+1Rs(B;C; z) matrix function and established some

properties. The aim of this study established to devote and derive certain basic properties including

analytic properties, recurrence matrix relations, dierential properties, new integral representations, k-

Beta transform, Laplace transform, fractional k-Fourier transform, fractional integral properties, the

k-Riemann{Liouville and k-Weyl fractional integral and derivative operators an extended version of

r+1Rs;k matrix function. We establish its relationships with other well known special matrix functions

which have some particular cases in the context of three parametric Mittag-Leer matrix function, k-

Konhauser and k-Laguerre matrix polynomials. Finally, some special cases of the established formulas

are also discussed.
Numerical Study of the Impacts of Stochastic Forcing on the Vortex in Fluid Flow
Authors: Lv Jingyun , Hou Xin , Chen Jingli
Published: December 2023

This paper provides the numerical investigation of two-dimensional stochastic Navier-Stokes equation driven by additive white noises. The vorticity-stream function method is presented to calculate the incompressible fluid flow. In order to solve the formulation of steam function equation, we propose a Crank-Nicolson Fourier pseudo-spectral method. Numerical results obviously show that the presence of stochastic forcing can have an impact upon the shapes of vortex in fluid flow. To a certain extent,
the phenomenon of eddy shedding and the formation of some new vortex in a random medium can be observed, which make it possible for us to conduct optimal control experiments in the development of vortex structures.
Fast Analytic‐Numerical Algorithms for Calculating Self and Mutual Inductances of Air Coils
Authors: Palka Ryszard
Published: December 2023

This paper deals with a method of calculating the self and mutual inductances of various air coils located arbitrarily in space. Known elementary solutions (the Biot-Savart formulas) were used to determine the magnetic field of infinitely thin current loops and infinitely thin wires of finite length linking magnetically other coils. Unlike commonly used algorithms, these elementary solutions were not extensively transformed analytically but were used to perform calculations by direct numerical integration. This enabled very quick and accurate obtaining of the self-inductance values as well as determining the dependence of mutual inductances on the position of both coils. This method allows analysis of different coil configurations (misaligned coils, inclined to each other, etc.) that other methods do not cover. It also enables the determination of the forces acting on the coils, as well as the calculation of the magnetic field distribution from any coil configuration. The obtained results were compared with those presented by other authors.
Natural Language Processing for Analyzing Online Customer Reviews: A Survey, Taxonomy, and Open Research Challenges
Authors: Malik Nadia , Bilal Muhammad
Published: December 2023

In recent years, e-commerce platforms have replaced conventional marketplaces. People are fast adopting online shopping since they can purchase from home. Online review sites allow customers to share their thoughts on products and services. Customers and businesses are increasingly relying on online reviews to assess and improve the quality of products. Existing literature uses Natural language processing (NLP) to analyze customer reviews for different applications. Due to the growing importance of NLP for online customer evaluations, this study attempts to provide a taxonomy of NLP applications based on existing literature. This study also examined emerging methods, data sources, and research challenges. This study covers 154 publications from 2013 to 2023 that explore state-of-the-art approaches for diverse applications. Based on existing research, the taxonomy of applications divides literature into five categories: sentiment analysis, review analysis, customer feedback and satisfaction, user profiling, and marketing and reputation management. It is interesting to note that the bulk of existing research relies on Amazon user reviews. Additionally, recent research has stressed the use of advanced techniques like Bidirectional Encoder Representations from Transformers (BERT), Long Short-Term Memory (LSTM), and ensemble classifiers. The rising number of articles published each year indicates researchers' expanding interest and the field's continued growth. This survey additionally addresses open issues, providing future directions in online customer review analysis.
Consumers' Preferences and Segmentation in the Digital Purchase of Iberian Ham
Authors: Lorenzo-Romero Carlota , Andrés-Martínez María-Encarnación , Gómez-Borja Miguel-Ángel , Mondéjar-Jiménez Juan-Antonio
Published: December 2023

Iberian ham, a traditional Spanish meat product, is renowned for its unique nutritional and sensory attributes, garnering widespread appreciation both domestically and internationally [1]. It is one of the most outstanding Spanish gastronomic treasures, with very special nutritional and sensory properties that make it highly appreciated throughout the world [2]. Recent trends indicate a notable surge in its consumption, a pattern projected to persist [3]. For an enhanced online shopping experience, understanding the specific characteristics and requirements of various consumer segments is crucial. This study aims to scrutinize national Iberian ham consumption patterns and, through survey methodologies, discern the preferences and needs of online consumers purchasing whole Iberian hams. The subsequent cluster analysis will empower suppliers with insights to pinpoint business prospects and craft segment-specific online marketing strategies.
Neurocognitive Profiles of 22q11.2 and 16p11.2 Deletions and Duplications
Authors: Gur Ruben , Bearden Carrie , Jacquemont Sébastien , Jizi Khadije , van Therese Amelsvoort , Bree Marianne van den , Vorstman Jacob , Sebat Jonathan , Ruparel Kosha , Gallagher Robert , Swillen Ann , McClellan Emily , White Lauren , Crowley Terrence , Giunta Victoria , Kushan Leila , O’Hora Kathleen , Verbesselt Jente , Vandensande Ans , Vingerhoets Claudia , Haelst Mieke van , Hall Jessica , Harwood Janet , Chawner Samuel , Patel Nishi , Palad Katrina , Hong Oanh , Guevara James , Martin Charles-Olivier , Bélanger Anne-Marie , Scherer Stephen , Bassett Anne , McDonald-McGinn Donna , Gur Raquel
Published: December 2023

Rare recurrent copy number variants (CNVs) at chromosomal loci 22q11.2 and 16p11.2 are among the most common rare genetic disorders associated with significant risk for neuropsychiatric disorders across the lifespan. Microdeletions and duplications in these loci are associated with neurocognitive deficits, yet there are few studies comparing these groups using the same measures. We address this gap in a prospective international collaboration applying the same computerized neurocognitive assessment. The Penn Computerized Neurocognitive Battery (CNB) was administered in a multi-site study on rare genomic disorders: 22q11.2 deletion (n = 397); 22q11.2 duplication (n = 77); 16p11.2 deletion (n = 94); and 16p11.2 duplication (n = 26). Domains examined include executive functions, episodic memory, complex cognition, social cognition, and sensori-motor speed. Accuracy and speed for each neurocognitive domain were included as dependent measures in a mixed-model repeated measures analysis, with locus (22q11.2, 16p11.2) and copy number (deletion/duplication) as grouping factors and neurocognitive domain as a repeated measures factor, with age and sex as covariates. We also examined correlation with IQ and site effects. We found that 22q11.2 deletions were associated with greater deficits in overall performance accuracy than 22q11.2 duplications, while 16p11.2 duplications were associated with greater deficits than 16p11.2 deletions. Duplications at both loci were associated with reduced speed. Performance profiles differed among the groups with particularly poor performance of 16p11.2 duplication on non-verbal reasoning and social cognition. Average accuracy on the CNB was moderately correlated with Full Scale IQ. No site effects were observed. Deletions and duplications of 22q11.2 and 16p11.2 have varied effects on neurocognition indicating locus specificity, with performance profiles differing among the groups. These profile differences can help inform mechanistic substrates to heterogeneity in presentation and outcome. Future studies could aim to link performance profiles to clinical features and brain function.
Atypical chest CT scan findings have higher mortality and ICU admission among older adults with COVID-19
Authors: Hasanzadeh Mehdi , Zandieh Zhale , Niksolat Maryam , Nabi Somaye , Zanjari Nasibeh , Delbari Ahmad , Yarandi Razieh Bidhendi , Rashedi Seyed Vahid
Published: December 2023

Introduction
: The global impact of the coronavirus pandemic has been particularly devastating among vulnerable populations, with a notably higher mortality rate observed among older adults. During this health crisis, chest computed tomography (CT) scans have emerged as a crucial diagnostic tool for identifying and assessing the severity of coronavirus disease (COVID-19). This study explored the significance of chest CT scan findings in predicting mortality and admission to the Intensive Care Unit (ICU) among older patients affected by COVID-19.
Materials and Methods
Conducted as a cross-sectional investigation, this study analyzed demographic characteristics such as age and gender, severity indicators (ICU admission, hospitalization outside the ICU) and outcomes (death or recovery) in a cohort of 411 COVID-19 patients aged 60 and above. Chest CT scan findings, categorized as normal, indeterminate, or abnormal, were scrutinized using SPSS ver. 24 software, with outcome analyses conducted through Chi-Square tests.
Results
Among the enrolled older patients, 52.3% were female, and 47.7% were male, with a mean age of 73.5 ± 8.75 years. The mortality rate reached 24.8%, and the ICU admission rate was 19%. Notably, 76.1% of subjects exhibited typical chest CT scan findings indicative of COVID-19, while 15.6% were classified as indeterminate and 8.3% as atypical. Mortality rates were 21.4% for typical findings, 28.1% for indeterminate results, and 50% for atypical findings. Furthermore, mortality among ICU-admitted patients stood at 78.2%. The incidence of atypical CT scan findings in ICU cases was 15.4%, compared to 6.6% in non-ICU cases.
Conclusion
The presence of atypical chest CT scan findings emerged as a significant predictor of heightened mortality and ICU admission among older individuals affected by COVID-19. This underscores the poor prognostic value associated with atypical findings in this demographic, emphasizing the importance of considering such indicators in the clinical management of older patients with COVID-19.
Effects of Compulsive Internet Use on Health Anxiety: A Mediation Model
Authors: Wang Lin , Su Ning
Published: December 2023

To gain a deeper understanding of the factors influencing health anxiety, this paper proposes a moderated mediating model to explore the interrelationships among compulsive Internet use, intolerance of uncertainty, information avoidance, and health anxiety. By analyzing these variables within the proposed framework, we aim to shed light on the complex dynamics that contribute to health anxiety. Methods: This study included 239 randomly selected undergraduates. We used the Whiteley Index, Information Avoidance questionnaire, Compulsive Internet Use Scale, and Uncertainty Intolerance Questionnaire to comprehensively assess their behaviors and attitudes. Results: (a) The study revealed a positive association between compulsive internet use and health anxiety. (b) Intolerance of uncertainty was identified as a mediator in the relationship between compulsive Internet use and health anxiety. (c) Information avoidance does not mediate the effects of compulsive internet use and intolerance of uncertainty on health anxiety; instead, it directly contributes to increased levels of health anxiety. Conclusion: Compulsive internet use predicts and exacerbates health anxiety by increasing individuals' intolerance of uncertainty. Information avoidance directly exacerbates health anxiety. Effective interventions should focus on reducing compulsive internet use, enhancing tolerance for uncertainty, and addressing information avoidance tendencies to alleviate health anxiety. These findings provide valuable theoretical support for targeted health anxiety interventions.
Dynamic Person-position Matching Decision Method Based on Hesitant Fuzzy Number Information
Authors: Yue Qi , Liu Liezhang , Tao Yuan
Published: December 2023

In view of the fact that people pay more and more attention to the principle of "getting the position according to the person" and "adapting the person to the position" in person-position matching, a dynamic person-position matching decision method based on hesitant fuzzy numbers is proposed. First, the dynamic person-position matching problem with the hesitant fuzzy numbers is described. Then, according to the hesitant fuzzy evaluation matrices of the positions and the candidates, the expected score matrices of bilateral subjects are calculated. Furthermore, based on the idea of the generalized optimal order method and the dominant correlation and the missing correlation coefficient, the satisfaction mean of both people and positions is calculated. According to the satisfaction mean, the growth satisfaction of each period is obtained, and then the exponential decay formula is used to determine the weights of the growth satisfaction. The dynamic satisfaction of bilateral subjects is calculated by aggregating the initial satisfaction mean and the growth satisfaction. On this basis, a stable person-position matching model considering dynamic satisfaction is established and then is solved to obtain the optimal stable person-position matching scheme. Finally, the feasibility and effectiveness of the proposed method are verified by the example analysis of person-position matching. The main contributions of this article are as follows: an effective calculation method for the missing correlation coefficient is presented; a novel effective calculation method for the dynamic satisfaction is proposed by introducing the correlation parameter to combine the missing correlation with the dominant correlation coefficient; an effective stable person-position matching model considering the dynamic satisfaction is established.
Population Dynamics and Correlation Analysis of Wheat Aphids and Their Natural Enemies
Authors: Lili Wang , Xiaoyi Ding , Hongtao Wang , Min Chen , Binghui Luan , Baoyou Liu
Published: December 2023

To investigate the population dynamics and correlation between wheat aphids and their natural enemies, we conducted a checkerboard sampling study in Yantai, Shandong province from 2019 to 2022. The main types of wheat aphids observed were S. miscanthi and Rhopalosiphum padi. S. miscanthi was found to occur on May, while R. padi appeared on June. The population dynamics of S. miscanthi followed a parabolic pattern, with peak numbers reached in mid-to-late May, followed by a decline. Similarly, the population of mummified aphids also exhibited a parabolic trend, and there was a linear correlation between the number of mummified aphids and S. miscanthi. However, mummified aphids appeared 4–10 days later than S. miscanthi. Furthermore, the occurrence trends of wheat aphids and their natural enemies generally aligned with each other, except in 2020 when the natural enemies emerged 10 days later than wheat aphids. This indicated a clear follow-up relationship between mummified aphids and S. miscanthi, as well as an evident following relationship between the natural enemies and wheat aphids. In conclusion, our study highlights the interplay of population dynamics among wheat aphids, mummified aphids, and their natural enemies in the Yantai region. These findings can contribute to a better understanding of ecological interactions in agricultural ecosystems and potentially aid in the development of integrated pest management strategies.
Construction of an immunogenic cell death related gene signature: A new prognostic model for small cell lung cancer
Authors: Liu Ming , Hou PanFei , Pan Yan , Jia ShuoSheng , Li HanWen , Sun Rong , Lin Jiang , Yang Xiaohong
Published: December 2023

Small cell lung cancer (SCLC) is a highly malignant cancer with poor prognosis. Therefore, more accurate models to identify high-risk patients are essential for facilitating personalized management of SCLC. Immunogenic cell death (ICD) is a process that stimulates robust anti-tumor immune responses and holds promising implications for cancer treatment. However, the expression of ICD-related genes in SCLC and their correlations with prognosis remain unclear. In this study, we employed a series of bioinformatic and machine learning approaches to establish an ICD-related risk score (ICDRS) and classified SCLC patients into low- or high-risk subgroups. Patients in the high-risk subgroup exhibited significantly lower survival probabilities, and the prognostic value of ICDRS was validated in independent cohorts. Furthermore, GSEA and tumor microenvironment (TME) analysis indicated that tumor proliferation and cancer-associated fibroblasts were enriched in the high-risk subgroup, while immune-realted scores were lower in high-risk subgroup. Overall, ICDRS could serve as a useful prognostic biomarker for overall survival (OS) in SCLC.
Analytical Solution for the Modeling Botanical Biofiltration of Indoor Air Quality
Authors: Jeeva N. , Dharmalingam K. M. , Veeramuni M.
Published: December 2023

In this paper, the mathematical model analyzed removing the VOCs using the biological-based treatment method of botanical biofiltration has been considered. We address the dimensionless mass balance concentration in the gas and biofilm phases for the indoor air quality model. Gas and biofilm phases described in a differential equations with boundary conditions. The dimensionless concentration of the gas and biofilm phases are solved analytically using new approaches analyzed methods such as Modified Adomian Decomposition Method (MADM). Furthermore, the analytical reports are then compared with the numerical findings for understanding the system behavior and to demonstrate the accuracy of the results.