bluuebunny/crossref_metadata_2025 huggingface dataset:
Use of Statistical Analysis Tools for ECG Processing
Authors: Pashko Anatolii , Chaikovska Olena , Kharchenko Yurii
Published: December 2023

The purpose of the article is to study the algorithms of statistical and intellectual data analysis and their use for processing and analysing electrocardiograms (ECG). The methods and algorithms that form the basis of statistical data processing and analysis are considered.
The research methods are based on the application of statistical methods and algorithms for the analysis and pre-processing of medical data. Pre-processing is a necessary step in data processing, which makes it possible to analyze more efficiently, build more accurate models and reduce their dimensionality.
Scientific novelty. The article analyses classical statistical methods used at the first stage of data processing. Their effectiveness and necessity in medical data analysis are proved. The results of the work are demonstrated on real data processing, namely, on electrocardiogram processing.
Conclusions. The application of statistical analysis methods for pre-processing medical data is considered on the example of ECG processing and analysis. The main statistical characteristics were calculated: mean, variance, standard deviation, mode, median, skewness coefficient, kurtosis coefficient, and coefficient of variation. The obtained data is used to estimate the law of data distribution, test hypotheses about the laws of distribution, and normalize data.
A correlation matrix is constructed for the ECG observation matrix, eigenvalues and eigenvectors are calculated, and principal components are determined on their basis. The use of principal components makes it possible to reduce the dimensionality of the data for a deeper analysis. In this study, the amount of data was reduced by a factor of four.
A discrete Fourier transform was performed. The analysis of the Fourier’s transform results made it possible to isolate high-frequency electromagnetic interference transmitted through the cable from the power supply network to the device, and the frequency of the interference was determined. Motion artefacts associated with the patient’s breathing were detected. The frequency of such interference is in the range from 1 to 4 Hz.
The ECG points were classified and an ECG module was built for further analysis. The classification results made it possible to identify a set of points in the vicinity of R-peaks. This makes it possible to localize QRS complexes without using a complex mathematical apparatus.
The results of medical data pre-processing allow to reduce the data dimensionality, identify the presence or absence of linear relationships, and evaluate the frequency characteristics of the data. Based on the pre-processing, it is possible to plan further research and build better models for data mining.
Framework Architecture for Designing High-Load Web Applications
Authors: Ovcharuk Iryna , Tykhonkov Illia
Published: December 2023

The purpose of the article is to describe the architecture of the proprietary Minegraph framework for designing a simplified process of developing modern high-load web applications.
The research methods are a review and analysis of modern technologies for developing architecture and designing frameworks.
The novelty of the study is the analysis of frameworks for developing web applications, their features and applications depending on the tasks, and the analysis of their architecture. The article focuses on the problem of using off-the-shelf solutions when creating high-load and scalable web applications. The author’s own development of a framework for scalable and highly loaded applications of any level of complexity, the features of the proposed models are presented, and the architecture of the Minegraph framework is described in detail, the features of this framework are analysed, and its strengths and weaknesses are highlighted.
Conclusions. The article analyses the existing frameworks for developing web applications. The author’s development of the Mineraph framework architecture is presented in detail, namely: drivers for interaction with databases, NoSQL databases; features of the model to allow adding or changing the basic logic for processing requests; models where the logic for processing requests is stored and its features; issues related to a flexible mechanism for debugging the basic logic of applications are highlighted.
The created framework is a ready-made structural framework for the development of scalable and highly loaded applications of any level of complexity. It is important to note that development on this framework does not require in-depth analysis of web system architecture, but only basic knowledge of the development environment and the ability to navigate the documentation. This development framework takes into account the advantages of previous analogues and contains advanced technologies, which increases the productivity and efficiency of developing scalable and highly loaded web applications. The paper describes the features of the Minegraph framework model, analyzes the features of this framework, and identifies its strengths and weaknesses. The Minegraph framework goes beyond structural capabilities, seamlessly integrates and uses the latest technologies for data processing and storage. In addition, it also uses cloud solutions, which leads to a significant improvement in system functionality while reducing infrastructure management costs.
The framework presented in this paper is not just a structural framework; it is an extremely versatile and adaptive tool, ready to accommodate applications of the highest complexity and scale. This framework has advanced technologies for data processing and storage and also uses cloud solutions that help improve the system’s functionality and reduce the cost of its infrastructure.
On the Geometry of Spherical Trochoids
Authors: Jank Walther , Glaeser Georg , Odehnal Boris
Published: December 2023

We provide a synthetic study of the top-views of spherical trochoids. These projections turn out to be higher trochoids, i.e., curves generated by the superposition of more than two rotations. Special shapes of these trochoids show up for special choices of the spherical radii of the rolling circles. A relation to closed algebraic curves of constant width is shown. These curves allow for a kinematic generation.
Krivulje u 3-dimenzionalnom Minkowskijevom prostoru
Authors: Đuzel Monika , Filipan Ivana , Primorac Gajčić Ljiljana
Published: December 2023

In this paper curves in threedimensional Minkowski space were analyzed and the main differences in local theory of curves in Euclidean and Minkowski space were emphasized. Special attention is paid to curves with no Euclidean counterpart. There are numerous examples of studied curves whose graphic representations were made by Mathematica software.
PENGARUH KOMPETENSI MANAJERIAL KEPALA SEKOLAH DAN MOTIVASI KERJA TERHADAP KINERJA GURU SEKOLAH MENENGAH KEJURUAN DI EKS KEWEDANAAN INDRAMAYU PADA MASA PANDEMI COVID-19
Authors: Musrinih Musrinih
Published: December 2023

Kepala sekolah berperan dan bertanggung jawab memimpin, mengorganisir, memantau, membina juga memperbaiki proses belajar mengajar di kelas. Dari konsep manajerial sebagai proses perencanaan, pengorganisasian, pengarahan, dan pengawasan, maka kepala sekolah dengan tanggung jawab yang diembannya diharapkan mampu melaksanakan tugas dan fungsinya dengan baik. Selain kepala sekolah, tenaga pendidik sebagai komponen utama dan pemegang tampuk pendidikan memainkan peranan yang sangat penting terhadap keberhasilan pendidikan. Selain standar kompetensi yang harus dimiliki oleh seorang guru, motivasi kerja memainkan peranan yang cukup penting dalam membentuk kinerja seorang guru. Dengan motivasi kerja yang baik bisa membentuk karakteristik psikologis yang bisa memberikan kontribusi pada tingkat kinerja seseorang. Penelitian ini bertujuan untuk menguji dan menganalisis:(1) seberapa besar pengaruh kompetensi manajerial kepala sekolah terhadap kinerja guru, (2) seberapa besar pengaruh motivasi kerja terhadap kinerja guru, (3) Seberapa besar pengaruh kompetensi manajerial kepala sekolah dan motivasi kerja secara simultan terhadap kinerja guru. Penelitian ini menggunakan metode deskriptif dan verifikatif dengan pendekatan kuantitatif, serta teknik analisis data menggunakan analisis regresi. Teknik pengumpulan data melalui angket skala Likert terhadap 77 responden. Hasil analisis data menunjukkan bahwa (1) kompetensi manajerial kepala sekolah berpengaruh positif dan signifikan terhadap kinerja guru pada masa pandemi Covid-19, (2) Motivasi kerja berpengaruh positif dan signifikan terhadap kinerja guru pada masa pandemi Covid-19, (3) kompetensi manajerial kepala sekolah dan motivasi kerja secara bersama-sama berpengaruh terhadap kinerja guru pada masa pandemi Covid-19.
PENGARUH SUPERVISI KEPALA SEKOLAH DAN PENGEMBANGAN DIRI GURU TERHADAP KOMPETENSI PROFESIONAL GURU
Authors: Ruhita Ruhita , Priyanto Dodi , Supriadi Andri
Published: December 2023

Kompetensi profesional guru sebagai salah satu penunjang keberhasilan guru dalam melaksanakan tugas fungsionalnya masih kurang. Berdasarkan hasil observasi awal diduga hal tersebut disebabkan oleh rendahnya supervisi kepala sekolah dan pengembangan diri guru. Karena itu, perlu dilakukan penelitian agar dapat diuji kebenarannya. Penelitian ini bertujuan untuk mengungkap pengaruh supervisi kepala sekolah dan pengembangan diri guru terhadap kompetensi profesional guru Sekolah Menengah Kejuruan di Kecamatan Panyingkiran Kabupaten Majalengka. Hipotesis penelitian ini adalah: (1) Supervisi kepala sekolah berpengaruh terhadap kompetensi profesional guru guru Sekolah Menengah Kejuruan di Kecamatan Panyingkiran Kabupaten Majalengka, (2) Pengembangan diri guru berpengaruh terhadap kompetensi profesional guru Sekolah Menengah Kejuruan di Kecamatan Panyingkiran Kabupaten Majalengka, (3) Supervisi kepala sekolah dan pengembangan diri guru secara bersama-sama berpengaruh terhadap kompetensi profesional guru Sekolah Menengah Kejuruan di Kecamatan Panyingkiran Kabupaten Majalengka. Penelitian ini menggunakan metode survey dengan pendekatan kuantitatif, serta teknik korelasional dan regresi. Teknik pengumpulan data melalui angket skala Likert terhadap 48 responden yang merupakan guru Sekolah Menengah Kejuruan di Kecamatan Panyingkiran Kabupaten Majalengka. Berdasarkan temuan peneliti maka dalam hal ini kepala sekolah dapat memberikan kesempatan kepada bawahan agar terciptanya waktu untuk melakukan diskusi sehingga bentuk kirtik dan saran yang dapat membangun dapat tersampaikan dan menjadi titik tolak kemajuan berkegiatan, salah satu bentuk dari ruang diskusi tersebut adalah dengan melakukan kajian dalam pembaharuan program yang saat ini telah diterapkan dan penyesuaian terhadap kebutuhan saat ini. Kepala sekolah dapat membuat suatu program yang fokus utama merupakan kegiatan kolektif guru. Dengan demikian akan terjadi pertukaran informasi tidak hanya dengan bidang yang terkait namun juga membuka peluan terjadinya pertukaran referensi bidang ilmu pengetahuan.
Hubungan Desain Interior Terhadap Kenyamanan Pemustaka Di Perpustakaan Umum Kabupaten Solok
Authors: Nita Zulfa Firdha , Afrina Cut
Published: December 2023

This research develops three main issues, namely how is the interior design condition in the Solok Regency Public Library, what is the comfort level of the users in the Solok Regency Public Library, is there any influence of the interior design of the library on the comfort level of the users in the Solok Regency Public Library. The purpose of this study was to determine the effect of the relationship between library interior design and the comfort level of users, the interior design includes layout, lighting, and temperature, with partial and simultaneous research. The type of research that researchers use is the type of associative research or relationship (influence) using a quantitative approach. This research was conducted at the Solok District Public Library. The population used in this study were users who visited the Solok District Public Library using the incidental sampling technique. The number of samples taken by the researchers totaled 87 samples. Data collection using questionnaires and questionnaires. Validity test, reliability test and product moment correlation test using IMB SPSS v20 program. The results of the study can be concluded that the r value of 0.667 is categorized as moderate and positive, meaning that there is a relationship between the interior design of the library and the comfort level of users and the results of the simple regression equation, Y = 79.415 + 0.659X. The two levels of influence between variable X and variable Y are 44%. So this can be interpreted that 56% of interior design is influenced by factors other than user comfort. With a regression coefficient b = 0.667 indicating the magnitude of the addition of the user's comfort level for interior design assessment. The results of hypothesis testing are done by t test with an error of 5%, then t table = 1.262 is obtained. If t count = 2.529 > t table = 1.262, then Ho is rejected and Ha is accepted, which shows that there is an influence of interior design on the comfort of users in the public library of Solok Regency.
Fostering Environmental Autonomy Support in an English Course for Middle School Learners in Western México
Authors: Peralta-Castro Fernando
Published: December 2023

The scope of this study is to observe features of environmental autonomy support and to identify aspects of autonomy. To this end, a case study was designed and implemented in a state school in the western region of Mexico, with the participation of twelve secondary school pupils, ages 12 to 14, who attended a non-required 40-hour course using the autonomous learning approach. A research journal was kept tracking the whole process, gaining knowledge of autonomous learning and examining the phenomenon in a real-life context. The journals were analyzed with the help of Atlas.ti software, and the researcher made inferences from the resulting data, including environmental autonomy support as well as the reactions of the pupils to the autonomous learning process. The analysis of data reveals the language-learning context and its tendency to foster an autonomy-supportive atmosphere. Data seems to cast light on two major issues: the importance of fostering an environment that encourages autonomous learning-related behavior, and the necessity of providing appropriate scaffolding strategies to assist students in their development of autonomous learning. The study provides valuable insights into autonomy support and autonomous learning in education, but its limitations include a small sample size and potential challenges in generalizing findings to broader contexts.
“I Keep Forgetting You’re Still Alive”: Unmasking Impoliteness in the Xsphere
Authors: Ali Salimi Esmaeel , Mortazavi Seyed Mohammadreza
Published: December 2023

Pragmatic competence entails awareness-raising of impoliteness. This paper delves into the pragmatics of impoliteness in online communication, focusing on X (Twitter) interactions, with a particular emphasis on 126 replies to Elon Musk's controversial tweet. Utilizing Culpeper's (2011) model of impoliteness formulae and implicational impoliteness, the study analyzes responses to this tweet, exploring the multifaceted dimensions of impoliteness. The research also investigates the moral order expectations expressed by the repliers, shedding light on the factors influencing their reactions and responses. By employing qualitative content analysis and thematic analysis, the study reveals the nuanced forms of impoliteness and the underlying moral order themes inherent in these online exchanges. Responsible wealth behavior, appropriate and non-offensive language, respect and decency, refraining from political narratives, engaging in social responsibility, and showingtransparency, accountability, and ethics were the identified moral order expectations. The findings underscore the relevance of examining impoliteness in the digital age, where public figures’ tweets can have far-reaching consequences and provoke diverse reactions from the online community. This research contributes to a deeper understanding of impoliteness in online discourse and its implications for social media interactions by language learners, which are currently lacking in language classrooms.
Dental Restorative Material Ontology (DrMO)
Authors: Dutta Nivedita , DeBellis Michael
Published: December 2023

The DrMO ontology is a domain ontology that represents knowledge underlying the composition, characterization and standardization of different materials involved in the dental restoration procedure. It will assist dentists in selecting appropriate materials based on up-to-date scientific knowledge to satisfy a patient’s specific requirements, without jeopardizing their clinical time. It reuses several ontologies from the OBO foundry, especially the Oral Health and Disease (OHD) Ontology. However, the dental restoration domain is complex and also requires concepts from materials science and engineering. Thus, DrMO also incorporates knowledge from the Devices, Experimental scaffolds, and Biomaterials (DEB) and Functionally Graded Materials (FGM) ontologies to provide more comprehensive knowledge of this area of dental material than previous ontologies. However, much of the terminology from FGM is different than that used in clinical dentistry. Thus, DrMO has changed the appropriate classes to make them consistent with terminology common in dentistry. DrMO also follows ontology design best practices by reusing meta-data properties from the Dublin Core vocabulary. It captures knowledge from a set of the most recent and influential papers in Dental Materials and related fields. Links to these papers are included in the ontology as meta-data defined with Dublin Core. It is implemented in OWL2 and was developed with the Protégé 5.6 ontology editor. The ontology was created using the Ontology Development 101 methodology by Noy et. al. Several domain experts in addition to Dr. Dutta also provided their expertise. The ontology is available on GitHub and licensed via an open source license. The GitHub project includes a corresponding file of SPARQL queries that answer the competency questions defined as part of the ontology development methodology.
Epistemic Metadata for Computational Engineering Information Systems
Authors: Horsch Martin Thomas , Chiacchiera Silvia , Guevara Carrión Gabriela , Kohns Maximilian , Müller Erich A. , Šarić Denis , Stephan Simon , Todorov Ilian T. , Vrabec Jadran , Schembera Björn
Published: December 2023

Digitalization is a priority for innovation in the engineering sciences. The digital transformation requires making the knowledge claims from scientific research data machine-actionable, so that they can be integrated and analysed with minimal human intervention. Up until now, the depth of digitalization is often too shallow, with annotations that are only of use to a human reader. In addition, digital infrastructures and their metadata standards are tedious to use: They demand too much effort from researchers, much of which goes into metadata that contribute nothing to an improved reuse of knowledge. These shortcomings are related. Data documentation and annotation are complicated and of little use whenever the metadata that make knowledge reusable are not prioritized. Addressing this gap, we discuss metadata standardization efforts targeted at documenting the knowledge status of data; we refer to such an annotation as epistemic metadata. We propose a schema for epistemic metadata, with a focus on knowledge and reproducibility claims, that is designed to be user-friendly and flexible enough to apply to a spectrum of circumstances and validity assessments. These developments are implemented as part of the PIMS-II ontology. They were conducted in line with requirements procured through a case study on papers and claims from molecular modelling and simulation.
Boosting D3FEND: Ontological Analysis and Recommendations
Authors: Oliveira Ítalo , Engelberg Gal , Barcelos Pedro Paulo F. , Sales Tiago Prince , Fumagalli Mattia , Baratella Riccardo , Klein Dan , Guizzardi Giancarlo
Published: December 2023

Formal Ontology is a discipline whose business is to develop formal theories about general aspects of reality such as identity, dependence, parthood, truthmaking, causality, etc. A foundational ontology is a specific consistent set of these ontological theories that support activities such as domain analysis, conceptual clarification, and meaning negotiation. A (well-founded) core ontology specifies, under a foundational ontology, the central concepts and relations of a given domain. Foundational and core ontologies can be seen as ontology engineering frameworks to systematically address the laborious task of building large (more specific) domain ontologies. However, both in research and industry, it is common that ontologies as computational artifacts are built without the aid of any framework of this kind, often yielding modeling mistakes and representation gaps. In this paper, we analyze a case in the domain of cybersecurity, namely, the case of D3FEND - an OWL knowledge graph of cybersecurity countermeasure techniques proposed by the MITRE Corporation. Based on the Reference Ontology for Security Engineering (ROSE), a core ontology of the security domain founded in the Unified Foundational Ontology (UFO), our investigation reveals a number of semantic issues and opportunities for improvement in D3FEND, including missing concepts, semantic overload of terms, and lacking constraints that cause an under-specification of the model. As a result of our ontological analysis, we propose several suggestions for the appropriate redesign of D3FEND to overcome those issues.
Ontological Modeling of Scholarly Statements: A Case Study in Literary Criticism
Authors: Sanfilippo Emilio M. , Sotgiu Antonio , Tomazzoli Gaia , Masolo Claudio , Porello Daniele , Ferrario Roberta
Published: December 2023

In many application domains, it is common to talk not only about the entities populating that domain, but also about statements (aka claims) that are expressed about those very entities. This is particularly the case in the Humanities, e.g., when scholars express their critical statements about paintings, literary texts, musical works, etc. The ontological modeling of such claims is challenging for various reasons, e.g., because one needs to capture their subjective but also public dimension, because scholars may express contrasting statements about the same phenomena, or because the argumentative logic of scholarly reasoning does not squarely fit into the methods of mathematical logic. Building on previous work on the treatment of observations and being driven by concrete case studies, we propose the first steps for an ontology to document scholarly statements and to trace critical debates in literary studies.
A comparison study of two implemented fuzzy-based models for decision of logical trust
Authors: Higashi Shunya , Ampririt Phudit , Qafzezi Ermioni , Ikeda Makoto , Matsuo Keita , Barolli Leonard
Published: December 2023

In recent years, the human-to-human and human-to-things relationships are becoming complicated and unreliable, which makes harder decisions in a variety of situations. As a result, trust computing is gaining interest in a number of research fields. The Logical Trust (LT) is one of trust computing concepts. In this paper, we design a Fuzzy-based System for Decision of Logical Trust (FSDLT). We implement two models: FSDLTM1 and FSDLTM2. The FSDLTM1 considers three input parameters: Belief (Be), Experience (Ep), Rationality (Ra) and the output parameter is LT. In FSDLTM2, we consider Reliability (Re) as a new parameter. We evaluated the implemented models by computer simulations. The simulation results show that when Be, Ep, Ra and Re are increasing, the LT is increased. For FSDLTM1, when Ep value is 0.9, all LT values are greater than 0.5. While for FSDLTM2, in case when Be is 0.9, for all values of Ra and Re, when Ep is 0.5 and 0.9, all LT values are higher than 0.5. This shows that the person or device is trustworthy. The FSDLTM2 is more complex than FSALTM1 but it makes a better decision for LT by considering four input parameters.
Evolutionary U-Net for lung cancer segmentation on medical images
Authors: Sahapudeen Farjana Farvin , Krishna Mohan S.
Published: December 2023

Patients with lung cancer can only be diagnosed and treated surgically. Early detection of lung cancer through medical imaging could save numerous lives. Adding advanced techniques to conventional tests that offer high accuracy in diagnosing lung cancer is essential. U-Net has excelled in diversified tasks involving the segmentation of medical image datasets. A significant challenge remains in determining the ideal combination of hyper parameters for designing an optimized U-Net for detailed image segmentation. In our work, we suggested a technique for automatically generating evolutionary U-Nets to detect and segregate lung cancer anomalies. We used three distinct datasets, namely the LIDC-IRDC Dataset, Luna 16 Dataset, and Kaggle Dataset, for training the proposed work on lung images. Our results, examined with six distinct evaluation criteria used for medical image segmentation, consistently demonstrated the highest performance. More specifically, the GA-UNet outperforms conventional approaches in terms of an impressive accuracy rate of 97.5% and a Dice similarity coefficient (DSC) of 92.3%.
Neutrosophic logistic model with applications in fuzzy data modeling
Authors: Al-Essa Laila A. , Khan Zahid , Alduais Fuad S.
Published: December 2023

The logistic distribution is frequently encountered to model engineering, industrial, healthcare and other wide range of scientific data. This work introduces a flexible neutrosophic logistic distribution (LDN) constructed using the neutrosophic framework. The LDN is considered to be ideal for evaluating and quantifying the uncertainties included in processing data. The suggested distribution offers greater flexibility and superior fit to numerous commonly used metrics for assessing survival, such as the hazard function, reliability function, and survival function. The mode, skewness, kurtosis, hazard function, and moments of the new distribution are established to determine its properties. The theoretical findings are experimentally proven by numerical studies on simulated data. It is observed that the suggested distribution provides a better fit than the conventional model for data involving imprecise, vague, and fuzzy information. The maximum likelihood technique is explored to estimate the parameters and evaluate the performance of the method for finite sample sizes under the neutrosophic context. Finally, a real dataset on childhood mortality rates is considered to demonstrate the implementation methodology of the proposed model.
Efficacy of brain-computer interfaces on upper extremity motor function rehabilitation after stroke: A systematic review and meta-analysis
Authors: Zhang Ming , Zhu Feilong , Jia Fan , Wu Yu , Wang Bin , Gao Ling , Chu Fengming , Tang Wei
Published: December 2023

BACKGROUND: The recovery of upper limb function is crucial to the daily life activities of stroke patients. Brain-computer interface technology may have potential benefits in treating upper limb dysfunction. OBJECTIVE: To systematically evaluate the efficacy of brain-computer interfaces (BCI) in the rehabilitation of upper limb motor function in stroke patients. METHODS: Six databases up to July 2023 were reviewed according to the PRSIMA guidelines. Randomized controlled trials of BCI-based upper limb functional rehabilitation for stroke patients were selected for meta-analysis by pooling standardized mean difference (SMD) to summarize the evidence. The Cochrane risk of bias tool was used to assess the methodological quality of the included studies. RESULTS: Twenty-five studies were included. The studies showed that BCI had a small effect on the improvement of upper limb function after the intervention. In terms of total duration of training, < 12 hours of training may result in better rehabilitation, but training duration greater than 12 hours suggests a non significant therapeutic effect of BCI training. CONCLUSION: This meta-analysis suggests that BCI has a slight efficacy in improving upper limb function and has favorable long-term outcomes. In terms of total duration of training, < 12 hours of training may lead to better rehabilitation.
Introduction of an applicant Job-Related Task Assessment (JTA) and the effects on the health and fitness of police recruits
Authors: Lockie Robert G. , Orr Robin M. , Kennedy Kelly , Dawes J. Jay
Published: December 2023

BACKGROUND: In 2020, a police department in the south-eastern USA introduced a Job-Related Task Assessment (JTA). The JTA included running, climbing, crawling, balance, direction changes, stair climbing, dragging, pushing, and simulated controlling of a struggling subject and needed to be completed by applicants in 6 : 57 min:s. It is not known whether introducing the JTA in the hiring process affected the health and fitness of hired recruits. OBJECTIVE: To compare the health and fitness of recruits hired prior to, and following, the JTA introduction. METHODS: Analysis was conducted on recruit data split into academy training year: 2016 (n = 91), 2017 (n = 129), 2018 (n = 167), 2019 (n = 242), and 2020 (n = 37). The 2020 group was hired after the JTA introduction and included one academy class. The following were recorded for all recruits: age, height, body mass, and body mass index; systolic and diastolic blood pressure (BP); sit-and-reach; grip strength; push-ups; sit-ups; 2.4-km run; and a physical ability test (PAT). A univariate ANOVA, with sex and age as covariates and Bonferroni post hoc, determined between-year differences. RESULTS: The recruits from 2020 were significantly lighter than 2018 recruits (p < 0.031), had higher systolic and diastolic BP than recruits from 2016–2018 (p≤0.006), completed the 2.4-km run faster than recruits from all years (p < 0.001), and completed the PAT faster than the 2016 and 2019 (p = 0.006–0.007) recruits. CONCLUSION: The JTA introduction led to the selection of recruits with lower body mass, and better aerobic (2.4-km run) and job-specific fitness (PAT). However, 2020 recruits also had higher BP which should be monitored.
Cultivating sustainable environmental performance: The role of green talent management, transformational leadership, and employee engagement with green initiatives
Authors: Umair Sonia , Waqas Umair , Mrugalska Beata
Published: December 2023

BACKGROUND: The success of organizations’ sustainable performance mainly depends on their human resource capital and for this organizations now need to focus on green human capital development programs including green talent management (GTM). GTM entails attracting, nurturing, and retaining those people who can promote the green initiatives of the organization. OBJECTIVE: This paper aims to investigate the impact of GTM, transformational leadership, and employee engagement on the sustainable environmental performance of organizations. METHODS: The data were collected from both academic and administrative employees in five Omani higher education institutions (HEIs). In total 367 questionnaires were collected using drop-off and pickup methods. RESULTS: The results of the study showed that green hard and green soft talent management (TM) and employee engagement with green initiatives are significant predictors of the sustainable environmental performance of HEIs. Moreover, transformational leadership can moderate the influence of green soft TM on employee engagement with green initiatives by strengthening the relationship. CONCLUSIONS: For sustainable performance and development, organizations especially HEIs need to actively assume their social responsibilities and implement sustainable environmental management. The present study provides meaningful implications for practitioners, educational policymakers, and leaders to promote GTM and employee engagement for sustainable environmental performance. Supporting green skill development, engaging employees with green initiatives, and promoting staff with green skills can help organizations particularly HEIs to increase their sustainable environmental performance and gain a competitive advantage.
Dynamic Interactions Between Regional Unregistered Employment and Macroeconomic Variables in Türkiye: A Panel VAR Analysis
Authors: ERALP Anıl
Published: December 2023

The presence of the informal economy and unregistered employment engenders adverse working conditions and job insecurity and diminishes tax revenues. Post-2000, Türkiye has placed considerable emphasis on fighting the informal economy and unregistered employment. Nevertheless, current data from the Social Security Institution reveals a 29% unregistered employment rate. Numerous factors affect the informal economy, with their impact contingent on the developmental status of economies. In Türkiye, characterized by substantial regional disparities, policymakers must account for regional heterogeneities. Within this context, an examination of the dynamic relationship between unregistered employment and key economic indicators such as growth, unemployment, and inflation in the Turkish economy is conducted using a homogeneous panel VAR model. Moreover, the study delves into gender-specific distinctions in unemployment rates and their relationship with unregistered employment. Utilizing annual data spanning 2009 to 2021 from NUTS 2 of TURKSTAT, the findings underscore the necessity for unregistered employment policies to address regional variations. Significantly, the interdependence between registered and unregistered economies underscores the guiding role of the unregistered sector within the registered economy. Hence, it is suggested that fighting unregistered employment may require a fundamental redesign of the current economic production structure to mitigate its prevalence.
Türkiye’de Kayıt Dışı Genç İstihdamı: Hanehalkı İşgücü İstatistiklerinden Cinsiyete Dayalı Bulgular
Authors: GÖRMÜŞ Ayhan
Published: December 2023

Kayıt dışı istihdam kayıtsız ekonominin en önemli

boyutunu oluşturmaktadır ve bir toplumun geleceği olan

gençler kayıt dışı istihdamdan en olumsuz etkilenen yaş

grubudur. Bu açıdan kayıt dışı istihdam çoğu zaman daha

çok gençlerin istihdam edildiği düşük ücretli, güvencesiz

ve istikrarsız bir çalışma biçimi olarak algılanmaktadır.

Ayrıca istihdamda kayıt dışılığın verimlilik, büyüme ve

çalışma hayatı üzerindeki etkileri hükümetler için mali

ve sosyal güvenlik gelirlerinin kaybına, firmalar için

haksız rekabete ve çalışanlar için sosyal güvenlik ve

sağlık hizmetleri yoksunluğuna neden olmaktadır. Bu

bağlamda bu çalışma, 2021 Türkiye Hanehalkı İşgücü

Anketi mikro verisini kullanarak, kayıt dışı istihdamın

demografik ve işle ilgili bağlamlar ilişkisinde, genç kadın

ve erkekler arasındaki farklılıkları inceleyen bir analiz

sunmaktadır. Araştırma, genç erkeklerin kayıt dışı istihdam

açısından genç kadınlardan daha fazla etkilendiği sonucuna

ulaşmıştır. Ayrıca çalışma düşük eğitimli gençlerin mikro

ölçekli işyerlerinde, kısmi süreli ve asgari ücretin altında

düşük ücretli işlerde kayıt dışı istihdam edilmesinin daha

olası olduğunu ve gençlerin gelir açıklarını ek iş arayarak

telafi etmeye çalıştıklarını göstermiştir.
RELIGIOUS DIGITAL LITERACY OF URBAN MUSLIM SOCIETY IN INDONESIA: A SYSTEMATIC LITERATURE REVIEW
Authors: Athoillah Sukijan , Ashari Muhammad Khakim , Alauddin Muhammad Badat
Published: December 2023

The current era of disruption is marked with the rapid flow of information on the internet, including religious content. The emergence of the internet clearly has a positive influence although there is also a negative impact. This article aims to determine the use of information and communication technology products in the context of religious literacy and religious digital literacy in urban communities in Indonesia. This research is a library research with a systematic literature review (SLR) approach. Sources of data in this study came from books and journal articles with a reputation in accordance with the theme or content of the discussion, totaling 58 references and published in the last 5 years. The analysis technique uses content analysis. The findings from the results of this study are that information and communication technology products have been widely used in many sectors of human life, including religion. Users who have gadgets or laptops (PCs) make it a tool for accessing religious content with the help of the internet. This is influenced by the dependence on the internet and a variety of religious content that is increasingly massively spread in cyberspace, especially for urban Muslim communities. Religious digital literacy can be used as a real solution to educate the public about access to digital information. This digital literacy can be used as a provision and foundation for someone to face the current digital era, so that they are not only able to access and find information. But more than that, it is hoped that information can also be validated by referring to the source of origin.
Formation of the system of management of investment projects of reconstruction of the housing fund
Authors: Slobodeniuk О.
Published: December 2023

It is substantiated that the lack of a comprehensive understanding of the management of investment projects for the reconstruction of the housing stock, taking into account the domestic investment and construction complex, determines the study of this process at the system level. The specificity of systematicity is that the research is aimed at establishing the laws and mechanisms of the formation of a complex object from its component parts and identifying various types of connections in the system, as well as introducing them into a single theoretical model.

The use of a system approach as a research methodology for investment design of housing reconstruction is proposed, which is based on the analysis of the object as a system and allows combining political, economic, social and other needs of the industry, taking into account the spatial characteristics of the territories.

Based on the interrelationships of the main components of project management within the framework of the system approach, a structural diagram of the system of management of investment projects of housing reconstruction was developed. Such a system includes a number of elements and subsystems (information-evaluative, predictive-analytical, providing, functional-instrumental) that closely interact and logically complement each other. These elements are separate subsystems at lower hierarchical levels and have their own tasks, purposes, tools (tools, levers, technologies, methods, etc.) of managerial influence.

The application of the researched theoretical and methodological foundations of the formation of the system of management of investment projects of housing reconstruction, which provide for a set of elements and interconnected subsystems, will make it possible in the future to more systematically form effective management measures to ensure this process.
Economic approaches to assessing the environmental consequences of the war in Ukraine
Authors: Skakun V. , Chynchyk A. , Strakhov A.
Published: December 2023

The article examines the environmental consequences of the war in Ukraine, the types of effects of military actions on the environment and their potential danger to humanity now and in the future.

The problems related to ecology and climate change as a result of military actions concern not only one country, nation or community, but can also affect the daily life of many future generations of Ukrainians, Europeans and the whole world. The issue of assessing the environmental consequences of military actions, classifying the damage caused, and choosing methods for assessing environmental damage are extremely popular in modern conditions for the Ukrainian and world community, which confirms the relevance and timeliness of this study.

According to the materials of open sources, it was determined that the main risks for the ecology of Ukraine and the world ecological and economic system were the threat of a nuclear disaster, the impact of active offensive actions on forests, steppes and the natural landscape, the impact of war on plants and animals, the threat to red book species, water pollution and soil as a result of multifactor intervention, hitting industrial facilities and critical infrastructure facilities.

A comprehensive algorithm for assessing the environmental consequences of military actions has been developed, which includes the following stages: establishment of a list of possible consequences, data collection, data analysis and classification of consequences according to the degree of security, assessment of environmental damage, information exchange and monitoring. Such a sequence allows you to identify the most influential risks and urgently take measures to overcome them. The created algorithm has a consolidated nature and should be refined and supplemented in further work.

It is proposed to carry out zoning of the territories of Ukraine depending on the possibility of obtaining information about the environmental impacts and consequences of the war and the availability of data collection.

In the future, it is advisable to develop methods for express assessment of environmental consequences for quick response to violations of environmental requirements, as well as in-depth methods that take into account detailed assessment of consequences and will allow to determine the most accurate economic component of consequences for ecology.
Strategic aspects of improving the marketing support of the promotion of innovative products of construction enterprises
Authors: Ivakhnenko I.S
Published: December 2023

This work substantiates the essence of the process of marketing promotion of an innovative product, the development of practical measures aimed at improving the toolkit of marketing support for the promotion of an innovative product by construction enterprises.

In the range of key elements of the innovative activity of the enterprise, one should not forget about the importance of marketing, because it is marketing that is often considered a panacea for all problems. The state of the company's external environment is rather unstable, which is affected by completely new conditions for the development of market relations, globalization and internationalization, and crisis phenomena in the economy. A number of the listed factors force the enterprise to analyze its internal capabilities and adapt to the requirements dictated by the market. The active involvement of effective marketing measures will solve this kind of problem, and a successfully created innovative product needs marketing promotion to the construction market.

Adaptation to the conditions of operation on domestic and international markets forces enterprises to be flexible and skillfully adapt to the dynamics of changes. Therefore, it is important to focus on innovative activity, which includes the creation, distribution and use of innovative products. In order to achieve sustainable commercial success, enterprises need to create products or services that can attract the attention of consumers, despite the existence of their analogues on the market. Thanks to innovations, you can increase your business income and take a leading place among competitors

Marketing support for the promotion of an innovative product by construction enterprises on the market is a set of actions aimed at communicating with the target audience to encourage them to buy, which contribute to the sale of the product on the market. It is important for the buyer to see the product in its various presentations. Therefore, it is worth considering marketing promotion as a set of tools. Each enterprise separates for itself a set of measures aimed at product promotion. The promotion structure is not about one thing, it is a combination of different types of promotion (radio advertising, personal selling, creating your own website, article in a print publication, developing a page on a social network) - it is a single system.

Thus, it was established that in order for an innovative product produced by an enterprise to reach specific consumers, an effective set of marketing measures is necessary for its promotion, therefore, the application of innovation marketing is successful. Innovation marketing as a type of activity is related to the development and market promotion of new products, equipment, services, and the latest technologies.
BOQ and BOM in the road management of Ukraine
Authors: Tsyfra Т.
Published: December 2023

The article highlights theoretical and practical approaches to the use of BOQ and BOM forms in the road industry of Ukraine. Both BOQ and BOM are used to determine the quantity and specification of materials. A BOQ is specific to construction projects and focuses on estimating costs, while a BOM specification is also used in manufacturing and focuses on specifying the materials and components required for construction. Understanding the road industry's pricing system and transitioning to the use of a Bill of Quantities (BOQ) and Bill of Materials (BOM) is vital to effective project management in both the construction and manufacturing sectors. While the BOQ mainly focuses on the quantification and costing of materials and labor, the BOM emphasizes the components required to produce the building materials as a product. BOQs focus on items, measurements, quantities, pricing, and cost breakdowns specific to construction projects, while BOMs emphasize components, specifications, descriptions, and hierarchical organization related to the production of road materials and the manufacturing environment. By using these two vital documents, you can streamline the business processes of project planning, procurement, and execution, leading to increased efficiency and successful project outcomes.

By integrating BOM and BOQ into a single digital environment with financial ERP tools, businesses can gain real-time insight into project costs. It helps in budgeting, forecasting and ensuring the financial viability of the project and making operational changes to the 4d-5d BIM model. BIM can improve the accuracy and efficiency of both Bill of Quantities (BOQ) and Bill of Materials (BOM) by providing a more detailed and comprehensive set of data, providing a detailed and accurate representation of the project. BIM can also help identify potential clashes or conflicts between different components that can be resolved before construction begins. In addition, BIM can facilitate collaboration between the various stakeholders involved in a project.