bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptation of the content of education in the training of occupational safety specialists to the requirements of the professional standard and the demands of employers
Authors: Tomakov V. I. 
Published: July 2024

Relevance. Occupational injuries with severe consequences and fatal outcome have a high level and are a serious cause of significant losses of skilled labor. This fact indicates that there are problems in the occupational safety management system in organizations that must be solved by specialists in accordance with labor legislation. In this regard, it is necessary to improve the quality of training for occupational safety specialists in order for them to perform their official duties efficiently.The purpose of this article is to substantiate the need to update and adapt the content of education in the training of occupational safety specialists, taking into account the labor functions prescribed in the professional standard and the requests of employers.Tasks: to study the demand for specialists in the field of labor protection; to analyze vacancies for the requirements imposed by employers on candidates; to make a rating of professional skills that employers want to see candidates for the position of a specialist in the field of labor protection.Methodology. The following methods are used in the work: comparative analysis, classification, generalization, theoretical analysis of scientific papers, logical methods of information processing.Results. There is an increased demand for occupational safety specialists in Russia. The professional skills required in vacancies are systematized, priority ones are highlighted and a rating is built. A proposal has been made on the need to adapt the content of education to the needs of employers.Conclusions. The demands of the labor market are a guideline for universities, and they will be best satisfied if, in the future, the requirements of employers for applicants are taken into account when training specialists in labor protection. The content of education in the training of specialists in the field of occupational safety and health should be based on the requirements of the professional standard and adequately take into account the requests of the employer.
Functional Background Diversity of Top Management Team and Managerial Forecasting Capability
Authors: Liu Bo , Zhang Dana 
Published: July 2024

ABSTRACT
This study examines whether top management team (TMT) functional background diversity affects managerial forecasting capability. We find that TMTs with more diverse functional backgrounds issue more accurate earnings forecasts. Additional tests reveal that the negative association between TMT functional background diversity and management forecast errors becomes weaker when TMTs work together for a long time, when subgroups are more likely to develop within the team, when CEOs are more powerful, and when team size is larger. By contrast, the reduction in management forecast errors is more significant for functionally diverse TMTs when forecasting difficulty is higher. These findings suggest that TMT functional background diversity plays an important role in managerial forecasting capability.
Data Availability: Data are available from the sources cited in the text.
JEL Classifications: M14; M41.
Bambu sebagai Material Berkelanjutan Erba (Earthquake-Resistant Bamboo Architecture)
Authors: Bhudi Mattin Kusuma , Nugrahini Fibria Conytin , Zuraida Zuraida , Rofi'i Rofi'i 
Published: July 2024

Indonesia memiliki kondisi geografis kepulauan dan dilewati oleh kawasan ring of fire, sehingga sering terjadi bencana gempa bumi. Dengan demikian kondisi tersebut memerlukan penerapan rancangan bangunan tahan gempa. Seperti yang diterapkan pada gempa yang terjadi di Lombok Utara. Dengan menerapkan bangunan tahan gempa RISHA (Rumah Instan Sederhana Sehat) dengan material beton pre-fabrikasi. Namun, muncul berbagai persoalan utamanya penolakan rumah dengan sistem tersebut dikarenakan masyarakat memiliki traumatik terhadap bangunan dengan material beton. Berdasarkan permasalahan tersebut didapati bahwa rumah dengan sistem RISHA dinilai kurang diminati, sehingga masyarakat meminta diberikan dana untuk membangun rumah sendiri menggunakan material lokal. Material lokal yang digunakan ialah bambu. Penelitian ini menggunakan metode kualitatif khususnya menganalisis data hasil observasi, wawancara dan didukung oleh analisis desktiptif dari studi literatur serta metode kuantitatif untuk menguji hasil analisis data kualitatif dengan uji coba material bambu dan struktur bangunan dengan material bambu, untuk mencari solusi dari permasalahan tersebut. ERBA (Earthquake-Resistant Bamboo Architecture) merupakan sebuah metode yang dapat diimplementasikan dengan parameter seperti jenis material, standar struktur, kondisi lokasi penelitian dan potensi gempa sehingga mendapatkan hasil yang lebih sesuai dengan kebutuhan yang ada pada lokasi. Hasil dari penelitian ini adalah sebuah metode rancangan ErBa sebagai solusi kebutuhan rumah tahan gempa yang murah dan mudah.
An Application of the Scaled–Pixel–Counting Protocol to Quantify the Radiological Features of Anatomical Structures of the Normal Tarsal Joint in Horses
Authors: Borowska Marta , Turek Bernard , Lipowicz Paweł , Jasiński Tomasz , Skierbiszewska Katarzyna , Domino Małgorzata 
Published: July 2024

Abstract
Background: As high-performance human and equine athletes train and compete at the highest level of effort, the prevention of high-performance-cased diseases, such as osteoarthritis (OA), requires knowledge of the anatomy and physiology of the subjected bones.
Objective: Implementation of the scaled–pixel–counting protocol to quantify the radiological features of anatomical structures of the normal equine tarsal joint as the first step in the prevention of the tarsal joints OA in high-performance sport horses.
Methods: A radiographic examination was performed in six cadaverous equine pelvic limbs. The dorso–plantar projection of the tarsal joint was performed using density standard (DS) attached to the radiographic cassette, standard X-ray equipment and standard diagnostic imaging protocol. On each of the radiographs, pixel brightness (PB) was extracted for each of the 10 steps (S1–S10) of DS. On each of the radiographs, seven regions of interest (ROIs) were annotated representing four bones (II tarsal bone [II TB], III tarsal bone [III TB], IV tarsal bone [IV TB] and central tarsal bone [CTB]) and three joints (proximal intertarsal joint [PIJ], distal intertarsal joint [DIJ] and tarsometatarsal joint [TMJ]), respectively. For each ROI, the percentage (%) of number of pixels (NP) from each range was calculated.
Results: The % of NP was lower in bones than in joint spaces for S1–S6 and was higher in bones than in joint spaces for S8–S10. The % of NP was higher in PIJ than TMJ for S1 and higher in PIJ than DIJ for S4. No differences were found between consecutive bones for all examined steps of DS.
Conclusions: An application of the scaled–pixel–counting protocol provides the quantitative radiological features of normal bone and joint structures of the tarsal joint in horses, making possible differentiation of the lucency of joint space and opacity of bone structure.
Application of Convolutional Gated Recurrent Units U-Net for Distinguishing between Retinitis Pigmentosa and Cone–Rod Dystrophy
Authors: Skublewska-Paszkowska Maria , Powroznik Pawel , Rejdak Robert , Nowomiejska Katarzyna 
Published: July 2024

Abstract
Artificial Intelligence (AI) has gained a prominent role in the medical industry. The rapid development of the computer science field has caused AI to become a meaningful part of modern healthcare. Image-based analysis involving neural networks is a very important part of eye diagnoses. In this study, a new approach using Convolutional Gated Recurrent Units (GRU) U-Net was proposed for the classifying healthy cases and cases with retinitis pigmentosa (RP) and cone–rod dystrophy (CORD). The basis for the classification was the location of pigmentary changes within the retina and fundus autofluorescence (FAF) pattern, as the posterior pole or the periphery of the retina may be affected. The dataset, gathered in the Chair and Department of General and Pediatric Ophthalmology of Medical University in Lublin, consisted of 230 ultra-widefield pseudocolour (UWFP) and ultra-widefield FAF images, obtained using the Optos 200TX device (Optos PLC). The data were divided into three categories: healthy subjects (50 images), patients with CORD (48 images) and patients with RP (132 images). For applying deep learning classification, which rely on a large amount of data, the dataset was artificially enlarged using augmentation involving image manipulations. The final dataset contained 744 images. The proposed Convolutional GRU U-Net network was evaluated taking account of the following measures: accuracy, precision, sensitivity, specificity and F1. The proposed tool achieved high accuracy in a range of 91.00%–97.90%. The developed solution has a great potential in RP diagnoses as a supporting tool.
Integration and Innovation of Higher Education Management and Student Training Mechanisms Based on Multi-scale Feature Fusion
Authors: Hao Yihui 
Published: July 2024

Abstract
In the current educational reform wave, which prioritizes moral development as the fundamental goal and stresses the enhancement of core student competencies, aligning higher education management with student cultivation mechanisms is crucial to educational progress. The Lucas-Kanade (LK) optical flow algorithm is used in this paper to gather behavioral characteristics from student interactions within the cultivation mechanism. A multi-scale convolutional kernel approach is used to fuse these features both locally and globally. A multi-scale feature fusion module subsequently classifies and recognizes these features, with recognition accuracy optimized by a tailored loss function. This approach allows for the timely identification and analysis of students’ aberrant behaviors, which aids in prompt educational interventions. The multi-scale feature fusion model can effectively identify various types of aberrant student behaviors, which aids educators and institutional leaders in their management efforts, as revealed by experimental findings. Statistically, the model’s implementation led to significant improvements in classroom routine compliance, with pre-and post-test p-values in the experimental cohort showing a notable difference (p = 0.001; p < 0.05). The proposed multi-scale feature fusion model promotes the integration of management and training mechanisms in higher education while also supporting the development of students’ learning capabilities. This innovation sets a solid foundation for future educational advancements.
Evidentiality in Argumentative Essays by Upper-Intermediate EFL Students
Authors: Kapranov Oleksandr 
Published: July 2024

Abstract
The article presents a study that aims at casting light on evidentiality in a corpus of argumentative essays written by a group of upper-intermediate university students of English as a Foreign Language (EFL) whose first language is Norwegian (henceforth – participants). The corpus of the participants’ essays was examined for the markers of evidentiality, which was operationalised as the source of textual information that originated outside the current text (Hyland, 2005). Specifically, the corpus was searched for reporting verbs associated with evidentiality (for instance, to indicate, to posit, to show, etc.). The results of the corpus analysis indicated that the participants’ argumentative essays appeared to be marked by such verbs associated with evidentiality as to argue, to claim, to say and to state. These findings were discussed in the article through the lens of didactic considerations that would be relevant to tertiary EFL contexts.
Foreign experience of financial-legal and administrative-legal regulation of the activities of public administration bodies
Authors: Leheza Yevhen , Kolomoiets Yuliia , Chalyk Vadim , Kovalchuk Yuliia , Sakhno Artem 
Published: July 2024

The purpose of the research is to consider financial and legal, administrative regulation and foreign experience of performing control over activities of public administration bodies. Main content. Defined are the main evaluation measures for ensuring effectiveness of control measures are defined; this evaluation is carried out according to the following stages: determination of quantitative and qualitative parameters for evaluating effectiveness of control; assessment of the competence of control bodies or assessment of internal and external control effectiveness, etc. Methodology: The methodological basis of the research is presented as comparative-legal and systematic analysis, formal-legal method, interpretation method, hermeneutic method as well as methods of analysis and synthesis. Conclusions. The following conclusion has been made that the following criteria are proposed for evaluating effectiveness of controlling public administration bodies: quality and completeness, reliability of information received by the controlling bodies; timeliness of control, regularity of control, objectivity of control, lightness of control measures.
Key words: administrative and legal principles, foreign experience, control, public administration bodies, financial and legal regulation.
Optical coherence retinal tomography as a prognostic biomarker of multiple sclerosis progression
Authors: Shchukina T. V. , Bisaga G. N. , Malko V. A. , Topuzova M. P. , Tolochko K. A. , Dadatsky A. Yu. , Alekseeva T. M. 
Published: July 2024

Multiple sclerosis is an autoimmune infl ammatory demyelinating neurodegenerative disabling disease of the central nervous system of multifactorial genesis. In the initial stages of remitting multiple sclerosis, autoimmune inflammation prevails with alternation of exacerbations and remissions, but, subsequently, progressive neurodegeneration develops, which underlies the persistent disability of patients. The transition of remitting multiple sclerosis into a secondary progressive form is a critical factor for long-term prognosis and makes it necessary to find accurate biomarkers, predictors of the risk of transformation of MS. One such marker is the thickness of the nerve fiber layer and ganglion cells, as well as the condition of the retinal microvasculature, which is easily verifi ed by optical coherence tomography (OCT), a non-invasive method that allows for real-time retinal segmentation in the axial plane. The aim of this review is to discuss the results achieved in the study and application OCT of the retina as a potential imaging biomarker of multiple sclerosis progression.
Infratentorial superficial hemosiderosis
Authors: Nuzhnyi E. P. , Zaripova L. R. , Fedotova E. Yu. , Konovalov R. N. , Filatov A. S. , Moskalenko A. N. , Illarioshkin S. N. 
Published: July 2024

Introduction. Superficial hemosiderosis of the central nervous system is a chronic, progressive disease caused by continuous low-volume bleeding into the subarachnoid space and, as a result, subpial deposition of hemoglobin de-tritus. Infratentorial superfi cial hemosiderosis (ISS) is characterized by hemosiderin accumulation primarily on the surface of the cerebellum, brainstem and spinal cord. Early detection of ISS may prevent severe disability and raise the chance of successful medical treatment. The purpose of this study was to analyze clinical, radiological, instrumental, and laboratory findings, based on a series of ISS cases diagnosed at the Research Center of Neurology. Material and methods. Seven patients diagnosed with ISS were included in this study (4 men, 3 women). Evaluation of the clinical findings, disease history, brain and spinal cord MRI, MR-angiography, brainstem auditory evoked potentials, audiometry, abdominal ultrasound, and laboratory iron metabolism tests was performed. Results. The median age of subjects was 63 years, and the median duration of disease was 3 years. We identified the cause of ISS in four patients. The most common clinical symptoms were cerebellar ataxia and sensorineural hearing loss. All patients had a typical ISS pattern on brain MRI images. Conclusion. With the development of neuroimaging, iSS is becoming a more frequent finding. Clinicians should be aware of its causes and optimal management strategy. Further studies of possible iSS treatments are needed to reduce free iron neurotoxicity and minimize clinical manifestations of the disease.
Engineering Activity and Engineering Thinking in the Context of Artificial Intelligence Expansion
Authors: Sheinbaum V. S. , Nikolskiy V. S. 
Published: July 2024

The academic press is increasingly discussing the impact of Artificial Intelligence (AI) technologies on education and science. Researchers pay attention not only to the applied aspects of the use of AI technologies, but also to the issues of the ontological foundations of activity that are being transformed under the influence of new technologies. However, the issues of the impact of AI technologies on engineering activity, engineering thinking and, consequently, on engineering education are not sufficiently reflected in academic publications. Moreover, the aspects related to the widespread use of artificial intelligence, both in professional activities and in everyday life, remain insufficiently studied.The article proposes theses and corresponding arguments that clarify the fundamental changes occurring in engineering activity and engineering thinking in the context of the expansion of artificial intelligence technologies. Engineering activity is presented as a system that is not identical to the activity of individual engineers. A definition of engineering activity is proposed, which reveals its essence through its goal of solving human and societal problems. A non-instrumental approach to the interpretation of engineering based on AI technologies is substantiated, within which artificial intelligence appears as a partner in engineering activity. Finally, engineering thinking is complemented by anticipatory and responsible thinking.The article is a contribution to the academic discussion on the specifics of engineering activity and engineering thinking at the present stage.
Method Gemi Self Assessment Untuk Identifikasi Management Lingkungan Rumah Pemotongan Unggas Di Pasar Tambahrejo Surabaya
Authors: Pandriratri Purnasari , Rachmanto Tuhu Agung , Purnomo Yayok Suryo , Cahyonugroho Okik Hendriyanto 
Published: July 2024

Pasar Tambahrejo merupakan salah satu pasar tradisional kota Surabaya yang memiliki usaha pemotongan ayam yang sudah memenuhi syarat dan ketentuan, sehingga usaha pemotongan ayam tersebut sudah mendapat izin resmi pendirian dari pemkot Surabaya. Namun, dalam setiap proses produksi pasti menghasilkan limbah yang mempengaruhi pencemaran lingkungan. Masalah pencemaran lingkungan selalu mempunyai dampak yang harus diperhatikan bagi perusahaan. Disisi lain juga dapat menyebabkan munculnya berbagai penyakit jika pengolahannya tidak diperhatikan. Oleh karena itu, diperlukan perencanaan untuk melaksanakan ISO 14001:2015 guna menunjang perkembangan perusahaan. Pada penelitian ini menggunakan checklist GEMI (Global Environmental Management Initiative) dan metode GAP analysis, kemudian didapatkan hasil persentase 5 klausul yaitu kepemimpinan sebesar 50%, perencanaan 47%, operasional 42%, evaluasi performa 39%, dan perbaikan berkelanjutan 50%.
Caracterización de perfiles hematológicos en razas caninas mediante análisis multivariados
Authors: Sánchez España Álvaro Cecilio , González Rivera Víctor Hugo 
Published: July 2024

Introducción. El estudio hematológico es la base del diagnóstico clínico veterinario, este contribuye con información objetiva para la determinación de enfermedades en canes y un tratamiento médico preciso. Objetivo. Es la caracterizar los perfiles hematológicos en razas caninas mediante análisis multivariados. Metodología. Consistió en la recolección de muestras de sangre de siete perros de distintas razas y edades, analizando diversos parámetros hematológicos mediante técnicas de laboratorio. Los resultados se analizaron utilizando estadísticos de comparación de medias y el Análisis de Componentes Principales (ACP). Resultados. el análisis hematológico presentó valores fuera el rango de permisibilidad, lo que conlleva a una causa patológica de anemia. Del análisis de comparación de medias se observó diferencias significativas entre sexo del animal en los parámetros de hematocritos, hemoglobina y recuento de glóbulos rojos. En el análisis multivariado se identificó cuatro componentes principales que explican el 92,56% de la varianza total en los parámetros hematológicos, revelando patrones de variación relacionados con el tamaño y concentración de glóbulos rojos, eosinófilos, linfocitos y plaquetas. Se observaron diferencias significativas en parámetros como hematocrito, hemoglobina y recuento de glóbulos rojos entre las razas estudiadas. Conclusión. Se concluye que existen variaciones importantes en los parámetros hematológicos entre razas caninas, lo que subraya la necesidad de considerar la raza al interpretar los resultados de análisis de sangre en perros para un diagnóstico más preciso y un tratamiento más efectivo. Área de la ciencia: (Medicina veterinaria)
Analysis of mangrove distribution and suitable habitat in Beihai, China, using optimized MaxEnt modeling: improving mangrove restoration efficiency
Authors: Lifeng Li , Wenai Liu , Mo Wang , Shuangjiao Cai , Fuqin Liu , Xiaoling Xu , Yancheng Tao , Yunhong Xue , Weiguo Jiang 
Published: July 2024

IntroductionMangroves are an important component of coastal ecosystems, and determining the spatial dispersion of prevalent mangrove species and the most suitable land-use source for mangrove growth is of great importance for judicious restoration and effective conservation approaches. Maximum entropy (MaxEnt) models are well suited for this task; however, the default parameterization such models for distribution prediction has limitations and may produce results with low accuracy, requiring elucidation of useful parameter settings. Further, a focus on predicting only the mangrove distribution is insufficient for mangrove restoration, and clarification of suitable habitats is required. Here, we examined the geographical distribution of six mangrove species in Beihai, China (Aricennia marina, Aegiceras corniculatum, Kandelia obovata, Rhizophora stylosa, Bruguiera gymnorrhiza, and Acanthus ilicifolius).MethodsWe used the ENMTools tool to select 16 variables from environmental factors, including bioclimate, terrain, sediment type, land-use classification, and sea-surface salinity and temperature. Using the selected variables and mangrove distribution data, a MaxEnt model optimized using the “kuenm” package in R was used to establish a mangrove prediction distribution model for Beihai City. Transition analyses of land-use types within suitable zones further clarified their current and potential functional roles.Results and discussionThe spatial occurrences of A. marina, A. corniculatum, and K. obovata were strongly driven by topographical features, those of R. stylosa and B. gymnorrhiza mostly depended on bioclimatic variables, and that of A. ilicifolius was driven mostly by edaphic conditions, notably the substrate type. The predicted optimal suitable area for mangrove growth in Beihai City was 50.76 km2, of which 55.04% are currently officially protected. Unprotected areas suitable for mangrove growth were mainly located in Lianzhou Bay, Tieshangang Bay, Dafengjiang, and Xicun Port. The majority of these regions were derived from land-use transitions from wetlands and aquaculture ponds to forested ecosystems. We suggest that careful development of selected wetland ecosystems and transmutation of aquaculture ponds into forested landscapes are crucial for effective mangrove restoration. Our results will assist in selecting suitable species for mangrove restoration sites and improving mangrove restoration efficiency.