bluuebunny/crossref_metadata_2025 huggingface dataset:
Empowering Democracy: A Robust and Secure Online Election System
Authors: Nivetha K Et al.
Published: February 2024

Every democracy and organization’s hallmark are the voting system. The absentee ballot which India has been using have proved to be defective and even ineffective since they require a large manpower, taking longer processing time for the publication of results. Accordingly, to eliminate such flaws from the system, these amendments are implemented in the systems that could circumvent these considerable disadvantages. Physical presence as a criterion is also eliminated by the new method, hence decreasing overall complexity. The country has been undergoing significant changes since 2014 especially the use of online voting to control and manage elections. The system may help to achieve a better performance and enhance the overall voter numbers. On the one hand, it has a positive side in terms of protecting privacy and providing authentic information. The primary points describing security include minimization emerges as everyone’s motive. In our research paper, we conducted an analysis of this system that involves three stages of authentication for guaranteeing the reliability and validity are utilized in the entire voting procedure. A process begins with voter card verification, then comes the second and third level- Aadhar verification and face verification respectively.
Indonesian Defense Industry Policy in Changes
Authors: Editha Praditya Et al.
Published: February 2024

Indonesia is the country with the strongest military strength in Southeast Asia. A country's military strength is determined by six things, namely military institutions, military policies, military resources, military weapons, national defense industry, and military title capabilities. This paper focuses on defense industry policy. This research uses multi-method research by prioritizing a qualitative approach. The results show that the liberation of business in the defense industry sector is in accordance with business regulation as a strategic industry. Then, the industry is controlled by the state whose control does not mean ownership of the Indonesian defense industry. However, this industry still has weaknesses including the vision of the Indonesian defense industry which is limited to supplying the domestic market, not easy to get capital, insufficient support to enter international markets, constraints in the mastery of technology, and limited human resources.
Precision Medicine in Head and Neck Cancer: Tailoring Therapies to Molecular Profiles
Authors: Abhay. D. Havle Et al.
Published: February 2024

Head and neck cancer refers to a diverse range of cancers with intricate molecular profiles that require individualised treatment strategies. Oncology is being revolutionised by precision medicine, which provides customised medicines based on unique tumour features. The aim of this review is to examine the state of precision medicine in head and neck cancer and its future prospects. Molecular profiling, biomarker-driven therapy, developing technologies, obstacles, and clinical consequences are highlighted. To compile the most recent research findings and trends in precision oncology for head and neck tumours, a thorough study of the PubMed literature was carried out. A variety of genetic changes and signalling pathways have been revealed by molecular characterisation, underscoring the importance of biomarkers such as EGFR and PD-L1 in directing targeted therapy. Liquid biopsy and genomic sequencing are two emerging technologies that have the potential to improve molecular profiling. Widespread use is hampered by issues such tumour heterogeneity, tissue sample accessibility, and cost-effective deployment. In conclusion, there is potential for improving precision medicine for head and neck cancer through the combination of cutting-edge technologies, biomarker-driven treatments, and patient-centric methods. Reaching the most benefit of customised care requires overcoming obstacles and improving accessibility.
Analysis of Time-Based Public Transport Demand Prediction Using OPTUNA Framework
Authors: R. Thiagarajan Et al.
Published: February 2024

Buses are the most popular and easy mode of transportation in all over the world. The state government operates bus service in all routes with low-cost fare. Traffic congestion has risen at an alarming rate due to an increase in the number of automobiles. Travel time have increased as a result, while accessibility and mobility have worsened. The primary challenge encountered by passengers is the absence of information regarding bus numbers that are accessible on a certain route and the approximate time of bus departure.  The delay in bus operations, could have several reasons which are inclement weather, traffic jam, and breakdowns. Neither the arrival time of the bus nor the delay are known to the people waiting at the bus stop. In order to address this problem, encouraging the usage of public transportation seems to be a feasible way. Over the past ten years, prediction of bus arrival time has become a fascinating subject around the world. In the transportation sector, Machine Learning (ML) technologies have already shown great promise and have additionally shown to yield a larger return on investment than traditional methods. In this research work , authors propose and develop predictive models to predict public transport demand for passenger transit based on bus arrival time. The dataset shows the proportion of buses operated by the Rochester-Genesee Regional Transportation Authority (RGRTA) that arrive on time. Initially, lazy predict classifier is used for solving regression-based dataset for predicting the bus demand in On-time based passenger transit. Based on the examination of lazy classifiers, the Decision Tree Regressor (DTR) has been identified as the best model. It is assessed using the most advanced hyperparameter optimization framework (OPTUNA). The proposed OPTUNA based DTR which is utilized to identify On-time performance of bus services-based passenger transit. Using OPTUNA for search is an efficient and beneficial approach considering the search speed and the improvement in model accuracy. According to the experimental data, the proposed approach performs better where the R-squared score is 0.9878 with best hyperparameter to be optimized.
Enhancement and Segmentation of Low-Light Images Using Illumination Map Estimation based Level Set (IME-LS) Method
Authors: Ganta Raghotham Reddy Et al.
Published: February 2024

One of the most difficult aspects of image segmentation is that it cannot be successfully segmented if the image is dark or degraded. In this paper, proposes a method for the segmentation of low-quality and degraded images is put forth which is called Illumination Map Estimation based Level Set (IME-LS) Method. This proposed model has been classified into two parts: Firstly, we use an enhancement approach using illumination map approximation to enhance the input image. In this approach, Illumination map is constructed then refined. The refined illumination map undergoes an Augmented Lagrangian algorithm and then we use a sped-up solver for a considerably more efficient outcome. Secondly, Then the segmentation procedure begins once the image is enhanced. The enhanced image is segmented using level set bias method through Fuzzy clustering. In this method we employ the Fuzzy C-Means (FCM) algorithm to categorize data points into clusters. The fuzzy C-Means algorithm separates different entities in the image based on their varied intensities and sorts them into various clusters. The level set bias approach then tracks the variational boundaries of the image. We have designed the integrated algorithm in such a way that the image is classified or grouped into various clusters using a novel fuzzy Clustering algorithm and the variational boundaries of those clusters are tracked by employing the level set algorithm. In this paper, we further perform quantitative and comparative analysis of the suggested technique with respect to other segmentation techniques to illustrate the efficiency and flexibility of the suggested model.
Deep Learning for Software Defect Prediction: An LSTM-based Approach
Authors: Prashant Sahatiya Et al.
Published: February 2024

Software defect prediction is an important aspect of software development, as it helps developers and organizations to identify and resolve bugs in the software before they become major issues. In this paper, we explore the use of machine learning algorithms for software defect prediction. We discuss the different types of machine learning algorithms that have been used for software defect prediction and their advantages and disadvantages. We also provide a comprehensive review of recent studies that have used machine learning algorithms for software defect prediction. The paper concludes with a discussion of the challenges and opportunities in using machine learning algorithms for software defect prediction and the future directions of research in this field. This paper surveys the existing literature on software defect prediction, focusing specifically on deep learning techniques. Compared to existing surveys on the topic, this paper offers a more in-depth analysis of the strengths and weaknesses of deep learning approaches for software defect prediction. It explores the use of LSTMs for this task, which have not been extensively studied in previous surveys. Additionally, this paper provides a comprehensive review of recent research in the field, highlighting the most promising deep learning models and techniques for software defect prediction. The results of this survey demonstrate that LSTM-based deep learning models can outperform traditional machine learning approaches and achieve state-of-the-art results in software defect prediction. Furthermore, this paper provides insights into the challenges and limitations of deep learning approaches for software defect prediction, highlighting areas for future research and improvement. Overall, this paper offers a valuable resource for researchers and practitioners interested in using deep learning techniques for software defect prediction..
Breaking Barriers: How Neural Network Algorithm in AI Revolutionize Healthcare Management to Overcome Key Challenges The key challenges faced by healthcare management.
Authors: Aishwarya Shekhar Et al.
Published: February 2024

Healthcare is one of the most important sectors of the economy. Quality healthcare is one of the most important factors determining how individuals perceive the quality of their lives. Further, healthcare has become a major political issue within different countries. Delivery of quality healthcare is, therefore, a major determinant of the national identity. However, healthcare is one of the sectors facing a number of challenges that need to be addressed. All healthcare economies are going through the same issues across the world. Introducing new technologies has further led to more challenges in the healthcare sector. Through AI, data analytics is available which will ensure that solutions to the challenges are found. The disruptive technology introduces more patient power, which has resulted in many issues in the healthcare sector. Therefore, the main concern of the essay is to present some of the challenges facing the healthcare sector. Also, it will address how disruptive technology can play an important role in ensuring that the challenges are being addressed to enhance the quality of care.
Survey on Cloud Computing Integrated with Artificial Intelligence
Authors: Sadargari Viharika Et al.
Published: February 2024

The combination of cloud computing with Artificial Intelligence (AI) has become a viable approach in recent years to handle the increasing processing needs of AI applications. This article offers a thorough analysis of distributed and scalable artificial intelligence frameworks that use cloud computing to improve the effectiveness and performance of Deep Learning (DL). First, we provide a summary of common cloud services and AI frameworks, emphasizing the advantages and disadvantages of each. The important topics of data management and storage in cloud-based AI systems are then covered in detail, including feature engineering, data pretreatment, privacy, and security. Next, we investigate the distributed and parallel training methods for AI models, with particular emphasis on cloud-based training topologies, communication mechanisms, and model splitting. On the next chapters, we examine auto-scaling, load balancing, resource allocation, and performance benchmarking as optimization methodologies for AI workloads on the cloud. We also cover serverless deployment alternatives, containerization, best practices for monitoring, and the deployment and servicing of AI models on the cloud. We give a comprehensive study of costs, optimization methodologies, and case studies exhibiting successful installations to guarantee the cost-effectiveness of cloud-based AI systems. In conclusion, we provide an overview of the study's main conclusions, go through the difficulties and restrictions associated with cloud-based artificial intelligence, and point out new directions for future research in this area. For academics and practitioners trying to use cloud computing to create scalable, effective, and affordable artificial intelligence systems, this article  will be a great resource.
Challenges in Policy Developments for Automated Vehicles
Authors: Neeta Maitre Neeta Maitre
Published: February 2024

Innovation is the driving factor in autonomous vehicles (AV). AVs are creating a buzz all around due to the reaction perception time required while driving the vehicles. AV technology will lead to the increased highway capacity and also the speed of the vehicles. The caution to utilize the benefits of the AVs lead to the proper planning and implementation. This calls for systematic policy developments. The policies governing various facets of AVs such as mobility, connectivity, social and environmental impact and adherence to the sustainability principles. This paper aims to discuss the guiding strategies governing AVs and the principles associated with them.

The policies to be followed for AVs face various challenges and require effective planning. The challenges in context with the law, safety , security and economies will lead to various policy recommendations. The paper discusses the policy considerations in the state enabled legislation, cross sector partnerships and fiscal implications of AVs at different levels.
A Novel Hybrid Protocol and Code Related Information Reconciliation Scheme for Physical Layer Secret Key Generation
Authors: Sujata Kadam Et al.
Published: February 2024

Wireless networks are vulnerable to various attacks due to their open nature, making them susceptible to eavesdropping and other security threats. Eavesdropping attack takes place at the physical layer. Traditional wireless network security relies on cryptographic techniques to secure data transmissions. However, these techniques may not be suitable for all scenarios, especially in resource-constrained environments such as wireless sensor networks and adhoc networks. In these networks having limited power resources, generating cryptographic keys between mobile entities can be challenging. Also, the cryptographic keys are computationally complex and require key management infrastructure. Physical Layer Key Generation (PLKG) is an emerging solution to address these challenges. It establishes secure communication between two users by taking advantage of the wireless channel's inherent features. PLKG process involves channel probing, quantization, information reconciliation (IR) and privacy amplification to generate symmetric secret key. The researchers have used various PLKG techniques to get the secret key, sTop of Form

till they face problems in the IR scheme to obtain symmetric keys between the users who share the same channel for communication. Both the code based and protocol based methods proposed in the literature have advantages and limitations related to their performance parameters such as information leakage, interaction delay and computation complexity. This research work proposes a novel IR mechanism that combines the protocol and code-based error correction methods to obtain reduced Bit Mismatch Rate (BMR), reduced information leakage, reduced interaction delay, and reduced computational time to enhance physical layer secret key's quality. In the proposed research work, the channel samples are generated using the Received Signal Strength (RSS) and Channel Impulse Response (CIR) parameters. These samples are quantized using Vector Quantization with Affinity Propagation Clustering (VQAPC) method to generate the preliminary key. The samples collected by the two users who wish to communicate, (for example Alice and Bob) will be different due to noise in the channel and hardware limitations. Hence their preliminary keys will be different. Removing this discrepancy between Bob's and Alice's initial keys, using novel Hybrid Protocol and Code related Information Reconciliation (HPC-IR) scheme to generate error corrected key, is the most important contribution of this research work. This key is further encoded by the MD5 hash function to generate a final secret key for exchanging information between two users over the wireless channel. It is observed that the proposed HPC-IR scheme achieves BMR of 19.4%, information leakage is 0.002, interaction delay is 0.001 seconds and computation time is 0.02 seconds.
An Overview of Inflammatory Spondylitis for Biomedical Imaging Using Deep Neural Networks
Authors: Kokkula Shiva Prasad Et al.
Published: February 2024

Ankylosing Spondylitis (AS) is an axial spine inflammatory illness and also chronic that might present with a range of clinical symptoms and indicators. The illness is most frequently characterized by increasing spinal stiffness and persistent back discomfort. The affect of the sacroiliac joints, spine, peripheral joints, entheses and digits are the main cause of the illness. AS symptoms include reduced spinal mobility, aberrant posture, hip and dactylitis, enthesitis, peripheral arthritis, and buttock pain. With their exceptional picture classification ability, the diagnosis of AS illness has been transformed by deep learning techniques in artificial intelligence (AI). Despite the excellent results, these processes are still being widely used in clinical practice at a moderate rate. Due to security and health concerns, medical imaging applications utilizing deep learning must be viewed with caution. False instances, whether good or negative, have far-reaching effects on the well-being of patients and these are to be considered. These are extracted from the fact of the state-of-the-art of deep learning (DL) algorithms lack internal workings comprehension and have complicated interconnected structure, huge millions of parameters, and also a "black box" aspect compared to conventional machine learning (ML) algorithms. XAI (Explainable AI) approaches make it easier to comprehend model predictions, which promotes system reliability, speeds up the diagnosis of the AS disease, and complies with legal requirements.
The Influence of Talent Mobility on Employee Performance in South Indian Software Enterprises
Authors: Beena.M.T Et al.
Published: February 2024

Ensuring the continual improvement and performance of employees is a problem for any IT company in a competitive industry. Therefore, it is crucial for organisations to implement staff development methods in order to enhance employee performance. The objective of this study is to examine the impact of talent mobility on employee performance in software firms located in southern India. The survey included a total of 624 workers. The data were analysed using the structural equation modeling (SEM) model with the AMOS 23 software. The findings demonstrate that various dimensions of talent management, such as talent strategy, work/role design, workforce planning, workplace design, recruiting and selection, learning and development/career management, succession management, pay and rewards, diversity, equity, and inclusion, have a significant impact on employee performance.
Pre- and post- treatment changes in lip position: A retrospective cephalometric study on bimaxillary protrusion cases
Authors: Mohapatra Masum , Tandon Ragni , Singh Kamlesh , Chandra Pratik , Mishra Shreya V.
Published: February 2024

Pre and Post treatment changes in lip position

To determine the changes in lip position in pre and post treatment lateral Cephalogram in bimaxillary protrusion cases.

Retrospective Cephalometric study on bimaxillary protrusion cases.

The study comprised of 45 subjects (6 Male and 39 Females) aged between 18 to 26 years having Bimaxillary protrusion malocclusion and treated with all four first premolar extraction. The pre-treatment and post treatment lateral cephalograms were traced and landmarks were identified Statistical analysis used: Statistical Package for the Social Sciences (SPSS Version 23; Chicago Inc., IL, USA), Kolmogorov –Smirnov and Shapiro Wilk tests, One-way analysis of variance (ANOVA), Tukey's post hoc analysis.

A positive correlation was found in changes in pre- and post-treatment changes in upper lip curvature, H-Line Angle, Upper sulcus depth, Upper lip strain, changes in the upper lip and the soft tissue from the nose tip, length of upper and lower lip, Nasolabial angle, Upper lip protrusion, Lower lip protrusion. However changes in Facial angle, Steiner’s S line, Upper and lower lip thickness were not statistically significant.

Treatment of Bimaxillary protrusion cases with extraction of all four first premolars resulted in a significant improvement in facial profile, esthetics and enhanced the soft tissue harmony.
Evaluation of orthodontic treatment need in school children of shimla using index of orthodontic treatment need
Authors: Chauhan Sonia , Negi K. S. , Negi Nishant
Published: February 2024

: The objective of this survey was to assess the orthodontic treatment need in school children of Shimla aged 12-16 years using Index of orthodontic treatment need.

The study included 576 children studying in Shimla, Himachal Pradesh, India who were assessed for orthodontic treatment need using IOTN and results were expressed in percentages. The difference in orthodontic treatment need for males and female and the orthodontist and subjects perception of orthodontic treatment need was calculated by χ² test. Pearson’s correlation assessed the correlation between the Dental Health Component and Aesthetic Component of IOTN.

10.7% (62) of the children had definite need for orthodontic treatment (AC) while 31.9% (184) had definite need for orthodontic treatment (DHC) with statistically insignificant difference between male and female. The difference between orthodontist perception of treatment need and that of subject was statistically significant. A strong and positive correlation between DHC and AC of IOTN was found which was statistically significant.

31.9% (184) and 10.8% (62) of the schoolchildren had definite need for orthodontic treatment according to the dental health component and aesthetic component of index of orthodontic treatment need respectively. 49.7% (286) of the subjects had knowledge about orthodontic treatment. 45.8% (264) of the subjects expressed desire to undergo orthodontic treatment. Orthodontist was more critical in aesthetic evaluation as compared to the schoolchildren.
FROM SURRENDER STORIES TO PERSISTENCE STORIES: YOUNG GIRLS’ NARRATIVES OF AGENCY AND POWER IN CHILD–PARENT CONFLICTS
Authors: Lahtinen Maria , Sevón Eija , Böök Marja Leena
Published: February 2024

This paper examines the dynamics of agency and power as revealed in young girls’ fictional narratives about child–parent conflicts that are caused by incompatibility between the goals of children and parents in everyday family life. The data were collected from 26 girls aged 4 to 6 using the Story Magician’s Play Time method. Narrative analysis yielded five types: mediation and compromise stories, surrender stories, persistence stories, solidarity stories, and standoff stories. In the girls’ stories, agency and power were multifaceted and variable phenomena that were negotiated in a relational context in which the gender of the child and parent characters played an important role. Power relations tended to be narrated as more hierarchical and immutable in child–father conflicts, and more often as negotiated in child–mother conflicts. However, when narrated as deploying unyielding and tactical actions, the child characters were only able to exert power over the parent in girl–mother conflicts. Thus, some stories conveyed a clear, hierarchical generational order while others demonstrated children’s agentic power to reshape adult dominance in child–adult conflicts in diverse ways. The practical implications of the findings are also discussed.
The Role of Public Schools in Social and Political Life of Victorian England: Eton College
Authors:   Saratov State University, Borodavkina N. V.
Published: February 2024

The article deals with the role of public schools in the English educational system of the XIX century. Eton College is one of the largest and highest in prestige public school in England, it was founded by Henry VI in 1441. Many outstanding English statesmen were educated in Eton College. The atmosphere of this elite school is important to understanding the nature of English leadership and consequently the character of English life. The author examines the influence of Eton College on training the British political elite.
Token Economy to Reduce Aggressive Behavior in Adolescent with Intellectual Disabilities
Authors: Lia Elfina May
Published: February 2024

Aggressive behavior is often found in individuals with intellectual disabilities (ID). Aggressive behavior arises due to low cognitive capacity so that the ability of individuals with ID to understand situations or the environment has limitations on the other side. The process of understanding the situation and realizing how to respond is very important so that individuals can adapt well to the environment. On the other hand, realizing adaptive behavior in individuals with ID is quite difficult. This research attempts to give an overview of the token economy to reduce aggressive behavior in hitting, shouting, and countering. This study aims to look at the effectiveness of token economy in reducing aggressive behavior in adolescents with ID. The research method used was single case experimental design. Data were obtained through observation, interviews, and psychological tests. Pretest and posttest were carried out on aggressive behavior before and after the treatment. The results of the token economy treatment showed a decrease in aggressive behavior on the subject as a whole (calculated based on a behavioral checklist), both in hitting (formerly 6 to 0), shouting (formerly 9 to 0,2), and countering behavior (formerly 6 to 0.2). There was a decrease from 24 to 3 based on the CBLC score after the treatment. Thus, it can be concluded that the token economy has proven effective in reducing aggressive behavior in adolescent with intellectual disabilities.
Keywords: aggression, intellectual disability, token economy
Forgiveness in Young Adult Dating Relationships: A Comparative Study Between Javanese and Buginese
Authors: Nabila Azhari Nurdin Fasha , . Ni'matuzahroh
Published: February 2024

Erikson stated that the intimacy vs isolation crisis is closely related to an individual’s ability to establish a romantic relationship. Conflict resolution is needed so that the relationship continues to run well. One of the things that can be done is to forgive. This study aims to determine the level of forgiveness in early adult dating relationships between Javanese and Bugis tribes. The study uses quantitative methods with comparative studies. The subjects in this study were Javanese (n = 20) and Bugis (n = 20) people. Data collection in this study used the Heartland Forgiveness Scale which was translated into Indonesian by the researcher. The t-test hypothesis test shows that the results of this study show no difference in the level of forgiveness in dating relationships in young Javanese and Buginese adults. This happens because there are other factors that are more influential than the influence of culture itself such as commitment, closeness and satisfaction with the relationship, emotional control, personal factor, empathy, and religious commitment.
Keywords: Buginese, Javanese, forgiveness, dating relationships
Self-presentation and Psychological Well-being Among Linkedln Users in Indonesia
Authors: Septiana Yusira Ela , Qudsyi Hazhira
Published: February 2024

Linkedln users are related to self-presentation but apparently doing self-presentation can affect psychological well-being. This study aims to determine the relationship between self-presentation and psychological well-being among Linkedln Users in Indonesia. The subjects in this study were 206 Linkedln users aged minimum 16 years using Linkedln at least for an hour per week. This research uses quantitative methods and sampling was done using purposive sampling. The Psychological Well- Being 42 Item scale was translated and adapted. The Self-Presentation on Facebook Questionnaire (SPFBQ) with 17 items was also translated and evaluated which then modified the social networking site. The results of the hypothesis test indicate that the hypothesis is accepted with a value of P = 0.000 (<0.005) and r = 0.338 which indicates there is a significant positive correlation between self-presentation in the form of real self and psychological well-being, the more often individuals do self-presentation in the form of real self, the higher the psychological well-being condition of the Linkedln user.
Keywords: Linkedln users in Indonesia, psychological well-being, self-presentation
Can Dating Violence Predict Feelings of Hatred Toward a Partner?
Authors: Puspitaning Luhpratiwi Refany , Nurhamidah Yuni , Agustin Syakarofath Nandy
Published: February 2024

Dating violence can occur in unhealthy dating relationships. This study aims to determine when someone experiences dating violence and its impact on their feelings of hatred. The research method used is quantitative, with research subjects aged 20–30 years who have or are currently having dating experiences of violence in their relationship. The number of subjects in this study was 533, obtained by random sampling. The instruments used in this study were Conflict in Adolescent Dating Relationships Inventory (CADRI) and the triangular hate scale. The results obtained through simple and multiple linear regression tests showed that there was a significantly positive effect of dating violence on hatred. Of the total five aspects of dating violence, verbal and emotional violence were the highest compared to the other four aspects. This means that the hatred felt by individuals toward their partner can be caused by violence that has occurred, especially verbal and emotional violence.
Keywords: dating violence, hate, partner
The Influence of Transformational Leadership and Work Motivation Aspects on Pro-environmental Behavior
Authors: Yuni Pratiwi Ananda , Sulaiman Ahmad
Published: February 2024

Environmental problems seem endless, constantly impacting earth. One of the causes is humans who are reluctant to manage waste. The purpose of this research was to see the influence of transformational leadership and aspects of work motivation on pro-environmental behavior in employees. This research is a quantitative research with 145 subjects who are employees of the Gema Surya Kencana Cooperative and fall in the age group of 18–50 years. The scale used is the Pro Environmental Behavior Scale (PEB Scale), Multifactor Leadership Questionnaire (MLQ Scale), and Motivation at Work Scale (MAWS). Data analysis was done using multiple linear regression techniques. Results show that transformational leadership has a significant influence on pro-environmental behavior with a significance value of P = 0.000 < 0.05. The autonomous motivation aspect did significantly affect pro-environmental behavior with a significance of 0.025 > 0.05 and the external motivation aspect did have a significant effect on pro-environmental behavior with a significance value of 0.024 > 0.05.
Keywords: transformational leadership, employee motivation, pro-environment behavior PRATIWI, et.al 1. Introduction
Developing the Contribution of Information Processing Activities in Forming Persuasion
Authors: Winarsunu Tulus
Published: February 2024

Research on persuasion or attitude change has been approached through singleprocess models. The focus of this research is to explain more clearly that persuasion only occurs through a process that is directly caused by social influence. However, the use of this approach produced contradictory results. On the one hand, social influence increases persuasion, but other research finds the opposite. This article discusses the possibility of using a dual-process model approach, which is expected to address the inconsistency of social influence on persuasion in single-process models. Dual process models are proposed to be able to provide new explanations regarding the possibility of multiple effects of social influence variables on persuasion by including information processing activity variables. Through the dual process model approach, it is possible to explain that a certain effect can be caused by different processes and that a certain variable can work differently and in different situations. Social influence has different mechanisms for determining persuasion, which can act as a simple cue when the thinking level is low and can have more than one role (multiple roles) when information processing activities are at a high thinking level.
Keywords: elaboration likelihood models, information processing, persuasion, social influence
Comparison of testicular stiffness values obtained by ultrasound shear-wave elastography and magnetic resonance elastography in normal healthy volunteers
Authors: POÇAN Süheyl , KARAKAŞ Levent
Published: February 2024

Objectives: This study aimed to contribute to the standardization of elastography by comparing stiffness values obtained from ultrasound shear wave elastography (SWE) and magnetic resonance elastography (MRE) of the testicular parenchyma in healthy volunteers.
Methods: A total of 22 healthy volunteers (44 testes) were included in this study. Of the 26 cases analyzed, four were excluded from the study due to the exclusion criteria. The testicular parenchyma of the included patients was evaluated using MRE and SWE examinations. Pearson's correlation test was used to calculate the correlation between age and stiffness values, testicular volumes and stiffness values, and stiffness values from both examinations.
Results: The mean SWE stiffness of the right testes was 5.560±3.1 kPa and the mean SWE stiffness of the left testes was 5.361±2.9 kPa. The mean MRE stiffness of the right testes was 6960.11±460 Pa and the mean MRE stiffness of the left testes was 6560.19±310 Pa. There was no significant correlation between SWE and MRE stiffness values (P=0.096). There was also no significant statistical correlation between SWE and MRE stiffness values and testicular volumes (P=0.17 and P=0.093, respectively).
Conclusions: No statistical correlation was found between the stiffness values obtained by SWE and those obtained by MRE in the normal testicular parenchyma. Additionally, no conclusive relationship between stiffness levels, age, or testicular volume was discovered.
Relación entre la participación en un programa de transición y permanencia en estudiantes de una universidad privada de Lima
Authors: Viale-Tudela Héctor , Huamán-Cotrina Enit , Rojas Reyna
Published: February 2024

Introducción: Se identificará la relación que existe entre la participación en un programa de transición que se lleva a cabo entre la educación secundaria y la educación superior con la permanencia de los alumnos de primer ingreso a la universidad. Método: La investigación es cuantitativa, longitudinal, no experimental, hipotético-deductivo con alcance descriptivo y correlacional. El estudio es censal y la población analizada está compuesta por 15710 alumnos de primer ingreso de una universidad particular de Lima (Perú). Se aplicaron estadísticos como Chi Cuadrado para determinar la asociación o independencia de dos variables cualitativas a un nivel de significación de 5%. Se midió el efecto a través del estadístico de V-Cramer. Resultados: En los siete años analizados existe una diferencia estadísticamente significativa en la variable de la permanencia estudiantil a favor del grupo de estudiantes que cursó el programa de transición. Discusión: Estos hallazgos confirman que un programa de transición de corte académico contribuye con la permanencia estudiantil universitaria.
Business Owners’ Perspectives on Running Khaja Ghars, Massage Parlours, Dance Bars, Hostess Bars, and Dohoris in Kathmandu, Nepal
Authors: Hacker Elizabeth , Sharma Ranjana , Aked Jody , Timilsina Amit
Published: February 2024

The Child Labour: Action-Research-Innovation in South and South-Eastern Asia (CLARISSA) programme aims to understand the dynamics that are central to running a business in the informal economy of Nepal’s adult entertainment sector, and explore how and why the worst forms of child labour (WFCL) become a feature of business operations. This research paper explores the findings from semi-structured interviews conducted with business owners operating spa and massage parlours, khaja ghars (snack shops), cabin/hostess bars, dance bars, and dohoris (folk-dance bars) in Kathmandu. It explores business owners’ perspectives on the day-to-day running of their businesses; the risks and stressors they face; their aspirations and motivations; and, where possible, their rationale for working with children, and the types of relationships they have with them. In addition to generating business-level evidence, the research provided evidence on a series of three business owner-led Action Research Groups, which began in February 2022 and continued until September 2023. These groups have generated theories of change, and will test and evaluate solutions to shift the system away from WFCL.
A graciosa inconstância das formas (da arte) nos quipos de Cecilia Vicuña
Authors: Oliveira Natália Rezende
Published: February 2024

A partir de uma análise do contexto de produção da instalação Sonoran Quipu (2023), da artista chilena Cecilia Vicuña, estuda-se o quipo (quipu, na grafia em espanhol, ou khipu, em aimará-quéchua), dispositivo mnemônico utilizado por civilizações pré-colombianas, como um modelo plástico e conceitual de vínculo. A argumentação entretece a categoria de Arte Precario, cunhada pela artista em meados dos anos 1970, com a concepção do quipo como expressão de espaço-tempo, defendida por Carolina Díaz (2018), e os escritos do antropólogo britânico Tim Ingold (2012; 2015) acerca da malha (meshwork). Em sua irregularidade e inconstância formal, o vínculo do quipo evoca os temas da arte processual e colaborativa, servindo como uma proposição conceitual às perspectivas futuras da arte contemporânea.
Contemporary surveillance of sinonasal malignancy in adults
Authors: Sell Elizabeth A. , Panara Kush , Workman Alan D. , Adappa Nithin D.
Published: February 2024

Sinonasal malignancies are a unique subset of head and neck cancers that necessitate close monitoring due to high local recurrence rates. Surveillance consists of a combination of endoscopy, imaging, and patient-reported symptomatology, but no standardized surveillance protocols currently exist. Strategies historically have been based on guidelines for other head and neck malignancies; however, the unique anatomical and histologic presentation of sinonasal malignancies presents challenges. This review discusses the literature surrounding the utility of each of the different surveillance modalities and highlights techniques under investigation to aid clinicians in optimizing the surveillance of sinonasal malignancies.
Rising Bribes: Accessing Public Health Services in Northern Cyprus during COVID-19
Authors: GOKCEKUS Omer
Published: February 2024

Objective: This study investigates the impact of the COVID-19 pandemic on informal payments (bribes) in accessing public health services. It assesses whether the pandemic increased informal payments and whether vulnerable populations, namely women, migrants, and low-income individuals, were more susceptible to bribery.

Methods: Data from pre-pandemic (2019) and pandemic (2021) Global Corruption Barometer surveys in Northern Cyprus were statistically analyzed to examine changes in informal payments and their associations with gender, income, and immigrant status.

Results: The study revealed a significant surge in informal payments for accessing public health services during the COVID-19 pandemic. In 2019, 4.70% of respondents reported paying bribes, but in 2021, this figure spiked to 17.85%, with an odds ratio of 4.391 underscoring the magnitude of the increase. Notably, gender and socioeconomic disparities were evident. Women reported higher bribe rates (20.3%) compared to men (13.7%), migrants had substantially higher bribe rates (25.7%) than natives (15.7%), and individuals with lower incomes (25.6%) were more inclined to engage in bribery. Logistic regression estimation results showed that migrants had a 9.48% higher likelihood of bribery, low-income individuals had a 14.27% higher probability, and being female was associated with a 9.28% higher chance of engaging in bribery.

Conclusion: This study highlights a troubling surge in bribery within the public health sector during the COVID-19 pandemic. Vulnerable populations, especially women, migrants, and low-income individuals, face increased risks. Urgent action is needed to combat corruption in healthcare during pandemics and ensure equitable access to healthcare services.

Key Words

COVID-19, bribes, public health, vulnerable groups, Cyprus
Determinan Hipertensi Pada Peserta Posbindu PTM (Penyakit Tidak Menular) Puskesmas Sawangan II
Authors: Yasin Vierta Aji Nur , Wahdiyati Siti , Rismawanti Ghufrani Sofiana , Weningtyas Vyanda Sri , Jamil Nur Aisyah , Prianti Yuni Ika
Published: February 2024

Latar Belakang: Pengendalian Hipertensi diantaranya dengan mengendalikan faktor risikonya. Posbindu PTM bertujuan untuk monitoring dan evaluasi faktor risiko untuk mecegah morbiditas dan mortalitas.
Tujuan: Mengetahui determinan hipertensi pada peserta Posbindu PTM di Puskesmas Sawangan II.
Metode: Penelitian cross sectional yang melibatkan 272 peserta yang hadir dalam pelaksanaan posbindu PTM pada periode Juni-Juli 2022 di Puskesmas Sawangan II, Magelang, Jawa Tengah. Setiap peserta Posbindu PTM diukur data demografi, riwayat keluarga hipertensi, status merokok, indeks massa tubuh dan tekanan darah. Data dianalisis dengan chi square dan logistik regressi.
Hasil: Berdasarkan hasil penelitian terdapat 145 (53,31%) peserta posbindu yang mengalami hipertensi. Usia (p=0,002; OR 3,309), tingkat pendidikan (p=0,015; OR 1,895), dan riwayat hipertensi keluarga (p=0,001; OR 2,739) berhubungan dengan kejadian hipertensi. Analisis multivariat dengan mengontrol variabel jenis kelamin, IMT, tingkat pendidikan dan status merokok, didapatkan usia 45 tahun ke atas (aOR 3,579, 95% IK 1,469-8,721) dan memiliki riwayat hipertensi keluarga (aOR 3,444, 95% IK 1,839-6,450) lebih berisiko terkena hipertensi.
Simpulan: Usia dan riwayat hipertensi keluarga yang merupakan non modifiable risk factor menjadi determinan hipertensi pada peserta posbindu PTM Puskemas Sawangan II. Diperlukan identifikasi lebih lanjut faktor risiko yang dapat dimodifikasi seperti diet dan aktivitas fisik serta upaya promotif monitoring faktor risiko tersebut.
Kata Kunci: Hipertensi; Usia; Riwayat Keluarga; Determinan.
A Case Report of Gastric-Type Endocervical Adenocarcinoma Accompanied with “Pelvic Mass” as the Initial Symptom
Authors: Sun Xiaodan , Liu Xuying , Gao Si
Published: February 2024

Gastric-type endocervical adenocarcinoma (GAS) is a rare non-human papillomavirus associated mucinous adenocarcinoma of the cervix. Its clinical manifestations are extremely atypical, with hidden lesions and difficulty in obtaining materials, resulting in a low positive rate of screening and biopsy. The pathological morphological features are similar to benign lesions, but the biological characteristics are highly malignant, posing great challenges to diagnosis. The preoperative diag-nostic rate is low, which is prone to misdiagnosis and missed diagnosis, leading to delayed treatment and seriously affecting the prognosis of patients. Here，we reported a case of ovarian endometriosis cyst combined with GAS confirmed by surgery and postoperative pathology, with "pelvic mass" as the initial symptom. Through case report and literature review, the characteristics and current re-search progress of GAS were summarized, in order to provide references for diagnosis of GAS, and provide theoretical guidance for formulating reasonable treatment strategy and improving patient prognosis.
Assessment and Validation of the Pet-Owner Relationship Scale for Brazil
Authors: Lopes Luis Felipe Dias , Lopes Eduarda Grando , Lima Mauren Pimentel , Pegoraro Daniela , Saragozo Rosangela Arruda , Lauz Thais Ribeiro , Santos Joana Vieira
Published: February 2024

This study aimed to conduct a cross-cultural adaptation of the development of the cat-owner/dog-owner relationship scales. The method encompassed several stages: conceptual, item, semantic, operational, measurement, and functional equivalence. Processes included translations, synthesis of translations, back-translations, consensus on the English versions, external evaluation by the original authors, expert committee evaluation, and pre-tests. The study involved surveying 342 pet owners throughout Brazil using a 20-item questionnaire. Data analyses utilized confirmatory factor analysis, covariance-based modeling, and multigroup analysis. The techniques confirmed that the scale preserved its psychometric properties and showed no variance between dog and cat owners, indicating that the measured constructs are universal and unaffected by specific cultural nuances. Hence, the cross-cultural adaptation and validation of the scale facilitate applying and testing concepts and measures in diverse contexts, enriching our understanding of the dynamics between owners and their pets (dogs and cats) in different living situations. In addition, this research holds particular significance in Brazil, given the country’s vast cultural diversity.