bluuebunny/crossref_metadata_2025_split huggingface dataset:
Museum Games and Personal Epistemology: A Study on Students’ Critical Thinking with a Mixed Reality Game
Authors: Morard Simon , Sanchez Eric , Bonnat Catherine 
Published: November 2023

This study examines how 12-15-year-old students use information while playing Geome, a mixed reality game intended for museum school visits. Geome presents environmental issues, prompting students and asking them to discern and dismiss misinformation and rumors. The study aims to analyze the students' playful learning experience and their perspective on the game. It focuses on the students' critical thinking, interactions and beliefs about knowledge and knowing, referred to as personal epistemology. Adopting a qualitative approach, the research was conducted across three classes in a museum. A combination of audio, video, and in-game interactions was collected from specific moments during gameplay and analyzed according to epistemological dimensions (Certainty, Simplicity, Source, Justification). Video analysis suggests that when faced with ill-structured problems within a playful scenario, some students are spurred to actively process information and develop critical thinking skills. Meanwhile others remain entrenched in their initial conceptions about the nature of knowledge and the act of knowing. The study discusses how the game's characteristics shape students' personal epistemology. Overall, this research demonstrates that games in museum contexts have the potential to promote active learning and critical thinking in some students, when confronted with complex or ill-structured problems.
Introduction to the Special Issue on GaLA Conf 2022
Authors: Koskinen Antti , Kiili Kristian , De Rosa Francesca , Dindar Muhterem , Kickmeier-Rust Michael 
Published: November 2023

This International Journal of Serious Games special issue is dedicated to the selected and extended best papers of the 2022 edition of the GALA conference. Professor Kristian Kiili and his team at Tampere University in Finland organized this edition of the conference.
Authors of seven highly-rated conference submissions were invited to submit extended papers for this special issue. After peer review process, five extended papers were accepted. These papers shows how game-based learning and serious games continue to evoke extensive research efforts, and clearly demonstrates the breadth of different research approaches used in game-based learning. With such an open-minded approach, it is possible not only to advance our knowledge of game-based learning but also to contribute significantly to the understanding of the factors that influence human learning.
Arthropod associates of Kenyan buffelgrass (Cenchrus ciliaris): a field survey for biological control candidates of a globally important invasive grass
Authors: Morrison Colin , Plowes Robert , Ng’iru Ivy , Rhodes Aaron , Martins Dino , Gilbert Lawrence 
Published: November 2023

Invasive species are the second largest contributor to biodiversity loss and drivers of ecosystem change. Buffelgrass is a C4, perennial grass native to Africa and Asia that was widely introduced across tropical and subtropical rangelands as livestock forage. Buffelgrass reduces native biodiversity and ecosystem stability in its introduced range when it escapes livestock pastures. Understanding the ecology of insects associated with buffelgrass in its native range may provide an understanding of invasion processes and biological control opportunities where buffelgrass has become an invasive challenge. Here, we present the results of a six-year survey of herbivorous arthropods of a native buffelgrass population from Kenya. Buffelgrass was examined for externally and internally feeding insects of vegetative and reproductive tissues. We also categorised buffelgrass detritivores and parasitoids that may use buffelgrass herbivores as hosts. The samples were photographed and Sanger sequenced to identify them to the lowest possible taxonomic ranking. We collected information on sample abundances, phenologies, tissues consumed, and putative diet breadths. We identified 25 morphospecies representing seven orders and 16 families. The putative host plant specialisation was as high as 67% for Diptera. Phenological variation in herbivore presence correlated with seasonal rainfall and provided a guide for when to conduct follow-up biological control agent searches. The most abundant herbivore was a gall midge (Diptera: Cecidomyiidae) that inhabits buffelgrass culms. Additional research should focus on bringing this species into containment where host choice trials can be conducted to determine if it is truly monophagous and assess its impact on buffelgrass growth.
Study on Prevalence and Surgical Management of Haemorrhoid’s in a Tertiary Care Teaching Hospital in a Rural Area
Authors: A. Farook  , A. Periasamy  , S. Arvind  , I. Kannan  
Published: November 2023

Background: Haemorrhoids, which is also termed as piles characterized by the enlarged and bulged blood vessels surrounding the supporting tissues present in the anal canal of an individual. In the present study, an attempt has been made to find the prevalence of haemorrhoids and surgical management done in our geographical area.
Methods: The present study was retrospective, cross-sectional study from the period of 1st January 2013 to 31st December 2017. A total of 351 haemorrhoid’s patients were admitted in inpatient surgical ward during that period. The demographic details of all the patients were noted from the medical records.
Results: A total 219 (62%) patients were male and 132 (38%) were females. Most of the patients are predominantly adults above the age of 21 years. The post-operative stay in hospital is almost less than 10 days as it indicates that most of the patients were discharged without any complication.
Conclusions: The male patients are predominant compared to female patients. The surgical complications are less. The exact prevalence rate may be high as some patients may either undergo a self-treatment or native medicine treatment
Prevalence of Iron Deficiency in Patients of Heart Failure with Reduced Ejection Fraction and Response to Injectable Iron Therapy- A Hospital Based Observational Study
Authors: Anoop Kumar Singh  , Soumya Ranjan Mahapatra  , Suresh Kumar Behera  
Published: November 2023

Aim of the Study: To estimate the prevalence of iron deficiency in patients of heart failure with reduced ejection fraction & response to injectable iron therapy in patients with iron deficiency anemia in heart failure with reduced ejection fraction. Materials and Methods: 1000 patients with heart failure with reduced ejection fraction (HFrEF; left ventricular ejection fraction <40%) who met the prespecified inclusion and exclusion criteria were chosen. A detailed history was taken and clinical examination was performed. Peripheral venous blood was drawn, and a complete hemogram along with iron studies (iron, ferritin, transferrin saturation and total iron binding capacity) were performedResults: Prevalence of iron deficiency among patients of heart failure with reduced ejection fraction was 63%. Most of the patients (71.42%) had absolute iron deficiency whereas 28.57% cases had functional iron deficiency status. 520(82.53%) patients were found to be anemic and 110(17.46%) patients were non anemic which was statistically significant, suggesting that the prevalence of iron deficiency was higher among all anaemic patients with heart failure with reduced ejection fraction, as compared to non-anaemic individuals. The use of injectable iron therapy significantly improved the NYHA functional status among all the patients of heart failure with reduced ejection fraction. Conclusion: Our study showed that there is a large burden of iron deficiency in patients of heart failure with reduced ejection fraction irrespective of anemia status. The correction of iron deficiency, irrespective of the presence or absence of concomitant anemia, improves the NYHA functional status and quality of life. It may therefore be prudent to assess and use iron status as a therapeutic target in all patients with heart failure even with normal hemoglobin levels.
Tarlov cysts among sportspersons: a case series
Authors: Sagolsem Adarsh S. , Akoijam Joy S. , Yumnam Nandabir S. , Yumnam Ningthemba S. , Pheiroijam Bhupes , Lisham Rajankumar , Kongkham Purnimala C. , Laimujam Sobhasini D. , R. Ramkumar 
Published: November 2023

Tarlov cysts (also known as meningeal cysts or perineural cysts) are fluid-filled sacs that are usually found at the bottom of the spine (the sacrum). The cysts appear in the roots of the nerves that grow out of the spinal cord. Majority of the tarlov cysts are often asymptomatic and hence not considered as part of the differential diagnosis for the treatment of low back pain. However, in some cases, tarlov cysts may be large enough to be symptomatic and as a result be a cause of disability and distress especially in physically active individuals. We report 5 cases of symptomatic tarlov cysts in physically active individuals with clinical presentations of persistent disabling low back pain with radiating pain in some individuals. In the first 3 cases, the tarlov cysts were large enough and the patients had to undergo ultrasound guided aspiration of the cysts while the other 2 cases were treated with epidural injections and conservative management.
Spatial model of Partial equilibria in Wholesale markets of Agricultural products of the Constituent entities of the Russian Federation
Authors: Svetlov Nikolai 
Published: November 2023

In 2018, VIAPI n.a. A.A. Nikonov – branch of the FSBS IFRC AESDRA VNIIESH began operating the VIAPI model, a modern tool for scenario analysis of the effects of external influences on the system of wholesale agricultural markets in Russia&apos;s regions in the short–term time horizon covering its entire territory within the borders of 2021. Previously, tools for this purpose were not developed in our country. Unlike existing foreign analogues, in the VIAPI model, technologies are represented by a nonparametric Farrell production frontier, and the search for equilibrium is carried out by minimizing the difference between the objective functions of a pair of mutually dual problems of the producer at prices that balance supply and demand. These innovations bring the information required for the model closer to the available statistical data, reduce the complexity of building a model and conducting computer experiments, and positively affect the reliability of the results obtained. The article outlines the methodological foundations of the model, presents its mathematical formulation, describes the data sources used, defines the rules for interpreting the simulation results, and briefly summarizes the experience of using it in solving various scientific problems and formulates new scientific results obtained with its help.
Neural Network Model of Digital Transformation of Enterprises and Industries of the Russian Federation
Authors: Urasova Anna 
Published: November 2023

The ambiguity of existing methods for assessing the effectiveness of digital transformation processes in industries and industrial enterprises requires the development and definition of universal criteria, methodological approaches and the development of tools for measuring digital transformations. As part of this work, the authors set a goal: to improve the mechanism of digital transformation in an industrial enterprise. Such a model includes a set of procedures for analyzing and assessing digitalization processes that determine the characteristics of an enterprise’s production activities and development trajectory, which makes it possible to determine the optimal configuration of digital solutions at an industrial enterprise. The neural network model is based only on data on operations at the enterprise, which contain quantitative indicators according to such criteria as Availability, Sufficiency, Accessibility, Demand, which are assessed according to data received from enterprise employees (expert assessments and questionnaires), as well as according to data from the economic and planning departments. During the training process, the neural network compares data series obtained from experts with series obtained as a result of normative calculations, and demonstrates critical deviations from the norm.
Conceptual basis of Development and Application of Artificial Intelligence Technologies in Forecasting Economic Processes
Authors: Aliyev Alovsat 
Published: November 2023

The article is devoted to the issues of forming the conceptual bases for the development and application of artificial intelligence technologies in the forecasting of economic processes. The relevance of developing a conceptual approach to the application of artificial intelligence technologies to predicting economic processes is substantiated. An overview analysis of relevant related scientific research works was conducted and the state of problem development was studied. Artificial intelligence includes machine and deep learning, natural language processing, computer vision, expert systems, fuzzy logic, genetic algorithms, etc. such methods and means were explained. Artificial intelligence methods based on evolution-algorithm, Data-mining technology, machine learning technology, and computer vision were analyzed in forecasting economic processes. The basis of the application of the neoclassical production function in predicting the impact of artificial intelligence on economic growth has been investigated. Neoclassical models were used to investigate the impact of artificial intelligence technology on production. Based on data mining technology, the economic development potential forecasting model and its forecasting adequacy were explained. The structural scheme of the main components of the application of artificial intelligence technology in the forecasting of economic processes has been developed. In order to increase the stability of economic development and predict economic processes by means of artificial intelligence technologies, relevant proposals, and recommendations were made, taking into account the technological requirements and priorities of the elements of the Industry 4.0 platform.
Statistical assessment of employees’ perception of nonmonetary compensations: The case of a regional hospital
Authors: Ojemakinde Abiodun , Mwaura-Smith Elizabeth 
Published: November 2023

Organizations often attempt to incentivize employees with nonmonetary rewards for the purpose of increasing workers’ productivity. The problem is that employers don’t always know which nonmonetary rewards are most beneficial to the employees and the organizational goal. Therefore, we attempt to investigate the statistical significance of employees’ perceptions of nonmonetary rewards at the workplace. A questionnaire was administered to the employees of the Accounting Department of a regional hospital to indicate their perception of the relevance of the nonmonetary rewards available to them vis-à-vis their work productivity. Employees’ preference for each of the five nonmonetary rewards was measured on a binary scale of yes, the nonmonetary reward was valuable, or no, the nonmonetary reward was not valuable. The acquired data underwent analysis to examine the proportion of workers who expressed a preference for one nonmonetary reward over another. This analysis was conducted using the conventional normal probability distribution, ensuring that the condition of a large sample size was satisfied. We concluded that not all nonmonetary rewards were considered valuable by the employees and that supervisors’ recognition of workers’ good ideas at work and collegiality with coworkers were considered prime nonmonetary rewards. Additionally, non-monetary rewards that have no close substitutes or that employees cannot easily provide for themselves—such as supervisors praising employees for their creative ideas at work—are significant drivers of engagement and productivity in small- and medium-sized businesses like the one used for our research. This research provides managers with empirical and valuable information regarding nonmonetary incentives and reward programs.
A Rare Case of 45,X/46,X,del(Y)(q12→qter) Mosaicism in An Infertile Male with Y Chromosome Microdeletion
Authors: Kumar Patel Sunny Kumar Jignesh , Kabir Rahul , Nayak Ruchismita , Palo Indira , Banerjee Birendranath 
Published: November 2023

Background: Males with 45,X/46,XY karyotype have two different types of cells. This condition is associated with a wide range of clinical phenotypes. In infertile males, the mosaic 45,X/46,XY karyotype is a frequent sex chromosome defect and they might be able to conceive with the help of assisted reproductive technology; nevertheless, there is a potential risk of transmission of azoospermia factor (AZF) microdeletions in addition to 45,X to all the male progeny. In this case report, the purpose was to present a rare sex chromosomal mosaicism of an infertile man.
Case Presentation: Comprehensive molecular and cytogenetic analysis of an infertile male was performed in this case study. A 27-year-old male was presented with history of azoospermia and was unable to conceive after being involved in five years of marriage. Cytogenetic investigation revealed a rare mosaic karyotype pattern of 45,X/46,X,del(Y)(q12→qter). Y chromosome microdeletion (YMD) analysis revealed notable deletions of 06 loci. Comparative genomic hybridization (CGH) microarray was performed to investigate probable functional genetic associations.
Conclusion: Deletion of Y-linked genes leads to different testicular pathological conditions contributing to male infertility. Individuals with normal male phenotype harbor YMD, although size and location of the deletion do not always correspond well with quality of sperm. Therefore, in addition to semen analysis, identification of genetic variables is important which will play a crucial role in proper diagnosis and management of infertile couples. The present case study demonstrates the significance of comprehensive molecular testing and cytogenetic screening for individuals with idiopathic infertility.
An Application of the Theory of Planned Behavior to Predict the Protective Behaviors from Urban Traffic Accidents
Authors: Mahmoodabad Seyed Saeed Mazloomy , Zeidabadi Batool , Rajabalipour Mohammad reza 
Published: November 2023

Introduction: Iran has the highest annual fatality rate in traffic accidents among countries in the world. This study is designed to predict the protective behaviors of intra-urban traffic accidents based on the constructs of the theory of planned behavior (TPB).
Methods: This descriptive-analytic study was conducted in 2022 in Yazd city on 140 people with driver's license using stratified random sampling method. Data were collected through a questionnaire with three parts including demographic variables, evaluation of the TPB constructs, and assessment of socio-cultural factors of driving behaviors. Data analysis was performed by SPSS version 26 using one-sample t-test, Chi-square, and univariate linear regression tests.
Results: In this study, the mean age of subjects was 39/1 with a standard deviation of 11. Based on the results of the study, 33% of the variance related to protective driving behavior could be predicted with the variables included in the model. The constructs of behavioral intention (β=0/414, p<0/0001) and perceived behavioral control (β= 0/246 p= 0/003) were the determinants of protective behaviors in Yazd city drivers.
Conclusion: In the present study, the perceived behavioral control was the strongest predictor of protective behavioral intention in intra-urban driving. Sometimes, performing a behavior necessitates the acquisition of skills that a person lacks, and increasing perceived behavioral control can lead to improved driving skills. Therefore, TPB offers an effective theoretical framework for increasing the efficacy of traffic accident prevention initiatives.
EKSISTENSI BADAN PENGAWAS PEMILU KABUPATEN POLEWALI MANDAR DALAM MENGAWASI PROSES KAMPANYE PADA PILKADA SERENTAK 2018 DI POLEWALI MANDAR
Authors: Awalia Fitri , Riwanto Agus 
Published: November 2023

Penelitian ini bertujuan untuk mengkaji eksistensi Badan Pengawas Pemilu dalam mengawasi proses kampanye pada Pemilihan Kepala Daerah Serentak pemilihan Bupati dan Wakil Bupati Polewali Mandar tahun 2018 serta mengkaji hambatan yang dialami Badan Pengawas Pemilu Kabupaten Polewali Mandar dalam menjalankan tugas pengawasan proses kampanye. Jenis penelitian dalam penulisan artikel ini adalah empiris dan bersifat dekriptif. Hasil penelitian ini menunjukkan bahwa Eksistensi Badan Pengawas Pemilu Kabupaten Polewali Mandar pada pelaksanaan proses kampanye pilkada serentak pemilihan Bupati dan Wakil Bupati Polewali Mandar tahun 2018 dilakukan dengan maksimal melalui beberapa tahapan yakni persiapan pengawasan dan tahapan pelaksanaan pengawasan yang terdiri dari pencegahan dan aktivitas pengawasan. Kemudian, dalam melaksanakan proses pengawasan masa kampanye, Badan Pengawas Pemilu Kabupaten Polewali Mandar menemui beberapa hambatan yakni kekuatan eksekutorial yang lemah dalam menertibkan alat peraga kampanye, waktu yang terbatas, kesenjangan persepsi penanganan pelanggaran pilkada oleh Badan Pengawas Pemilu dan penegak hukum lainnya, dan budaya hukum masyarakat yang cenderung apatis terhadap pengawasan masa kampanye pilkada.
ANALISIS IMPLEMENTASI ANGGARAN PENDAPATAN DAN BELANJA NEGARA (APBN) SEBAGAI SUMBER KEUANGAN UTAMA DALAM PENDANAAN KAMPANYE PARTAI POLITIK PESERTA PEMILIHAN UMUM
Authors: Haruna Hardiansa , Madalina Maria 
Published: November 2023

<span class="fontstyle0">Penulisan hukum ini mendiskripsikan dan mengkaji sistem pemilu<br />khususnya mengenai pendanaan kampanye parpol peserta pemilu yang masih<br />memiliki banyak kekurangan baik dalam pengaturan maupun pelaksanaannya,<br />serta menawarkan konstruksi hukum melalui rencana pemaksimalan APBN<br />sebagai sumber keuangan utama pendanaan kampanye parpol peserta pemilu di<br />Indonesia. Penelitian ini termasuk ke dalam jenis penelitian hukum normatif.<br />Pendekatan yang digunakan dalam penelitian ini yakni pendekatan perundang-undangan, pendekatan kasus, dan pendekatan konseptual. Sumber hukum yang<br />digunakan terdiri dari bahan hukum primer dan bahan hukum sekunder. Teknik<br />pengumpulan data dilakukan dengan studi dokumen (studi kepustakaan). Teknik<br />analis baha hukum adalah menganalisis hasil penelitian dan pembahasan dengan menggunakan teori-teori yang terdapat dalam tinjauan pustaka. Hasil penelitian menunjukkan bahwa pengaturan pendanaan kampanye di Indonesia masih jauh dari kata ideal. Yang mana dalam pelaksanannya, beberapa penyimpangan politik </span><span class="fontstyle2">seperti praktek korupsi, politik uang, dan ketidakpatuhan terhadap laporan dana kampanye masih terus terjadi pada penyelenggaraan pemilu </span><span class="fontstyle0">di Indonesia. Sehingga sudah seharusnya pengaturan pendanaan kampanye tersebut dilakukan perubahan dengan mengakomodir pemaksimalan APBN sebagai sumber keuangan utama pendanaan kampanye parpol peserta pemilu.</span> <br /><br /><br />