Field Of Science Research Articles

Форми медичного контролю на заняттях силової направленості

Medical control is a scientific and practical branch of medicine that studies the issues of physical development, functional state, and health of the human body during physical exercises and sports. The purpose of medical control is to promote the effectiveness of the physical education process in every way, the correct use of physical culture tools. Medical control is a mandatory condition for injury prevention, preservation of human health, longevity, and creative activity. The main tasks of medical control: determining the state of health and solving issues of admission to classes in various forms and groups; carrying out medical control at physical education and sports classes; diagnostics of the functional state; assessment of physical development and identification of diseases and injuries; medical provision of competitions; agitation and promotion of physical culture among the population. Forms of medical control: regular medical examinations and control of persons engaged in physical exercises and sports; medical and pedagogical observations of people who are engaged in classes and competitions; sanitary and hygienic control over the places and conditions of classes; medical and sanitary provision of mass health and sports events (in sports camps and at educational and training meetings);prevention of sports injuries and diseases; sanitary and educational work and promotion of physical culture, sports, a healthier lifestyle. Physical development is assessed using anthropometric measurements, as well as the method of questioning and external examination. Anthropometric measurements make it possible to determine the level and features of physical development, the degree of conformity to gender and age.

Impact of the Stefan gusting on a bioconvective nanofluid with the various slips over a rotating disc and a substance-responsive species

This paper presents thorough computational and theoretical analyses of steady forced convective flow over a rotating disc submerged in a water-based nanofluid containing microorganisms. It delves into the examination of boundary layer flow characteristics of a viscous nanofluid, considering Stefan blowing effects and multiple slip conditions influenced by a magnetic field. Notably, the study accounts for novel aspects such as thermal radiation and both constructive and destructive chemical reactions. The movement of nanoparticles is elucidated based on thermophoresis and microscopic behaviors, while changes in volume fraction do not affect the thermo-physical properties of the nanofluid. To address the altered nonlinear set of differential equations, an effective numerical approach, the Keller-Box method, is implemented for critical and efficient solutions. These appropriate transformations are defined and applied. When compared to blowing suction, it shows a better enhancement in the rate of heat transfer, mass, and microorganisms. Some of the main observations are there is a decrease in wall skin friction in the directions of radial and tangential as magnetic field strength is increased. The evaluation of thermal boundary layer thickness and temperature is noted for the radiation parameter (Rd) improvement. The present analysis has applications in electromagnetic micro-pumps and nanomechanics. As to the applications in the science and engineering fields, technologies such as micro-electromechanical systems-based microfluidic devices and microfluidic-related technologies will be accepted.

Palliative care at the end of life and the role of the psychologist

Mallampati, Orotracheal intubation, Modifications.Palliative care (PC) is defined as care for patients diagnosed with progressive, incurable and/or chronic-degenerative diseases, and can cover any life-threatening illness that culminates in finitude. Therefore, PC aims to ease the pain and relieve the suffering of invasive treatments by providing dignity, comfort and welcome to improve the quality of life of patients diagnosed with incurable diseases; this care can also include the individual's family members and caregivers, providing them with welcome, assistance and support to deal with the issues arising from the progression of the disease. Thus, the aim of this study is to describe the participation of the multi-professional team in PC, the patient and their family, i.e. all those involved in this process of becoming ill until the end of life, and in particular to investigate how psychology works in caring for the patient, the family/caregiver and the healthcare team. This study used the literature review method. This bibliographic review selected 27 scientific articles, 02 books, 01 Resolution of the Federal Council of Psychology, 01 Manual of Palliative Care of the National Academy of Palliative Care, 01 Manual of Palliative Care of the Sírio Libanês Hospital, 01 Primer of the Brazilian Society of Geriatrics and Gerontology, 01 thesis. It will record how the patient copes during the journey from the diagnosis of illness to the end of life, as well as the participation and experience of the family, the multi-professional team and in particular the participation of Psychology within this scenario, as it is the scientific field that covers the holistic sphere of the individual, and its premise is to deal with issues involving human relationships, bringing the necessary comfort in the face of this new context of an established disease that will cause the end of existence. In this way, the psychologist is the professional trained to study mental processes, such as feelings, thoughts, behaviors, understanding their subjectivity and, in this context, helping the individual to understand their self in the face of the serious and irreversible clinical state that precedes the proximity of death, resolving outstanding issues with themselves and their families, providing support so that everyone can be at peace at the moment of farewell. Finally, it will discuss the importance of humanized care in PC through the inclusion of a specific subject in the undergraduate courses of health professionals, paying special attention to the field of psychological knowledge since it is the professional who is the protagonist in this scenario.

BounTI (boundary-preserving threshold iteration): A user-friendly tool for automatic hard tissue segmentation.

X-ray Computed Tomography (CT) images are widely used in various fields of natural, physical, and biological sciences. 3D reconstruction of the images involves segmentation of the structures of interest. Manual segmentation has been widely used in the field of biological sciences for complex structures composed of several sub-parts and can be a time-consuming process. Many tools have been developed to automate the segmentation process, all with various limitations and advantages, however, multipart segmentation remains a largely manual process. The aim of this study was to develop an open-access and user-friendly tool for the automatic segmentation of calcified tissues, specifically focusing on craniofacial bones. Here we describe BounTI, a novel segmentation algorithm which preserves boundaries between separate segments through iterative thresholding. This study outlines the working principles behind this algorithm, investigates the effect of several input parameters on its outcome, and then tests its versatility on CT images of the craniofacial system from different species (e.g. a snake, a lizard, an amphibian, a mouse and a human skull) with various scan qualities. The case studies demonstrate that this algorithm can be effectively used to segment the craniofacial system of a range of species automatically. High-resolution microCT images resulted in more accurate boundary-preserved segmentation, nonetheless significantly lower-quality clinical images could still be segmented using the proposed algorithm. Methods for manual intervention are included in this tool when the scan quality is insufficient to achieve the desired segmentation results. While the focus here was on the craniofacial system, BounTI can be used to automatically segment any hard tissue. The tool presented here is available as an Avizo/Amira add-on, a stand-alone Windows executable, and a Python library. We believe this accessible and user-friendly segmentation tool can benefit the wider anatomical community.

Metalloporphyrins as Building Blocks for Quantum Information Science

AbstractThe intrinsic quantum nature of molecules opens exciting opportunities for developing the field of quantum information science. In this context, porphyrins stand out as ideal building blocks for quantum technologies thanks to their unique optical and electrical properties as well as their capacity to accommodate metal atoms and ions. This review bridges the chemistry and physics of porphyrins, providing an overview of recent advances in porphyrin‐based molecular qubits. Starting from qubits, the review explores the potential of porphyrin units to combine, leading to the formation of quantum logic gates and hierarchical higher‐dimensional structures. Next, the exploitation of porphyrins' unique photophysical properties for realizing long‐lived high spin states is examined. These states are promising for the photogeneration of multi‐level systems and the optical initialization and control of molecular qubits. With a critical eye on the current state‐of‐the‐art, the review elucidates the future perspectives of porphyrins for advancing quantum technologies.

A Bibliometric Analysis of Publications on Cadavers: A Study Based on Web of Science Data From 1978 to 2023.

This study aimed to investigate the significance of publications examining the effectiveness of cadaver studies in the field of medicine with the method of bibliometric analysis, which emerged in the 1950s, offers the opportunity to conduct a detailed analysis of a specific subject, just like a systematic literature review or meta-analysis. Also, it aimed to enlighten the content of cadaver studies in the last half-century and to present a perspective for the future. In the study, an advanced search was conducted on the Web of Science Core Collection database on August 1, 2023, using the keywords "cadaver," "cadaver study," "cadaveric dissection." Review articles were excluded from the study. There were determined 34554 documents. The documents were transferred to the VOSviewer software program. In this way, the authors made detailed analyses of authors, keywords, journals, organizations, institutions, and countries and created scientific maps. The United States was one of the most important countries in terms of research. Generally, the use of cadaver terms in documents belongs to surgery, anatomy, and transplantation journals. Anatomy, cadaver, biomechanics, ultrasound, and computed tomography were the top 5 most frequently used keywords with cadaver term. The findings of our study showed that cadaver studies are used in many fields of medical science. However, clinical studies, including advanced imaging techniques, draw attention to the developing technology. Along with the powerful institutions of the United States, its great contributions to publications stand out.

Lexico-Semantic Field and Conceptual Feature of the Concept "Ақыл/Mind"

Linguoculturology, a branch of linguistic science, faces challenges in identifying and describing types of cultural concepts. A systematic analysis and a comparative description of the concept "ақыл/mind" in the Kazakh and English languages have not yet been carried out. A comprehensive investigation of the linguoculturological and cognitive specifics of this concept in the linguistic consciousness of Kazakh and English speakers is needed. The current study analysed the lexical and semantic field of the concept "ақыл/mind" and the conceptual specificity of the lexicographic sources of the Kazakh and English languages. Using the logical-semantic method, the study determined the etymology and synonymous fields of the concept "aқыл/mind". The conceptual component of the concept "aқыл/mind" wasanalysed based on lexicographic sources to determine the core and peripheryof each lexeme given its definition given in adictionary entry. The study then illustrated the similarities and peculiarities of the verbalisation of the concept "aқыл/mind" and investigated thedistinctive features of national and cultural characteristics.

Light Intensity of Phosphorescent-Netting Pots and Determining Their Visibility to Snow Crab (Chionoecetes opilio) Using Visual Modeling Techniques

This study explores the visibility of phosphorescent-netting pots to snow crab (Chionoecetes opilio) using visual modeling techniques. Light emitted from such pots increases catch per unit effort, yet little is understood about the factors driving these higher catch rates. In this study, we measure pot light emission and snow crab visual acuity. Combining these data with estimates obtained in the literature for other biotic and abiotic factors, we model snow crab vision in relation to the pots. Utilizing these factors and environmental conditions, we derive a contrast ratio between the pot light and the ambient light. Findings reveal that the visibility of pot lights at 200-m depth depends primarily on solar angle (time of day) and time elapsed post-deployment. Additional factors influencing the vision of the pots include water column quality and benthic boundary layer turbidity. This study is the first to model the visual ecology of snow crab and the first to estimate snow crab visual acuity. These insights into snow crab visual ecology can potentially enhance fishing techniques, promote catch efficiency and sustainability, and help provide a path forward for visual ecology research in the fisheries science field.

Leadership Development Interventions to Reduce Imposter Phenomenon in the STEM Fields in Minorities

Background: There is a significant lack of diversity in the Science, Technology, Engineering, and Mathematics (STEM) fields. Evidence shows that lack of representation can feed into feelings of imposter phenomenon which in turn influences leadership qualities. Objectives: An argument is made that by providing leadership development training to minorities in science, technology, engineering, and mathematics fields, confidence will be boosted, feelings of imposter phenomenon will be reduced, and thus these students will be retained. Approach: Theories explored to explain this challenge include the imposter phenomenon, servant leadership, and transformational leadership. Results: The goal of this article is to demonstrate the need for research into leadership development of minorities in the science, technology, engineering, and mathematics fields. Conclusions: A program proposal is also introduced as a suggested plan of action based on the findings.

The right to information under the conditions of armed aggression of the Russia

The article is devoted to the understanding and scientific and theoretical analysis of the peculiarities of the implementation and protection of the right to information in the conditions of the armed aggression of the Russian Federation against Ukraine. It was determined that private law, despite all its focus on the maximum provision of personal freedom, including freedom in the exercise of rights, the admissibility of limiting a person in the exercise of these rights solely on the grounds and in the manner determined by law, recognizes not only the admissibility of such restrictions, but also necessary, if the interests of national security, territorial integrity or public order require it in order to prevent riots or crimes, to protect public health, to protect the reputation or rights of other people, to prevent the disclosure of information obtained in confidence, or to maintain authority and impartiality justice. It was determined that a person has the right to confidentiality of information about himself, which is meaningfully a component of the right to respect for his private life and the right to information in the context of his free receipt, use, distribution, storage and protection of information necessary for the realization of his rights, freedoms and legitimate interests. Content-wise, the latter can be information in the field of science, nature, politics, culture and art, sports, finance, leisure, business and economy, etc. It was concluded that the prohibition of censorship under Art. 15 of the Constitution of Ukraine forces to carefully resolve the issue of balance between censorship and restriction of the right to information in the conditions of martial law, which forces the Law to determine the grounds, procedure and procedure for restricting a person’s right to information. It was concluded that the list of information with limited access, determined by the Order of the Commander-in-Chief of the Armed Forces of Ukraine No. 73 of 03.03.2022, regarding the prohibition of the dissemination of information, the disclosure of which could lead to the enemy becoming aware of the actions of the Armed Forces of Ukraine and other components of the defense forces, negatively affect the course of performing tasks as assigned during the legal regime of martial law must be depersonalized, because the specified order is aimed at streamlining relations between representatives of the Ministry of Defense of Ukraine and journalists.

The design of a scientific data management system based on DOMAS at CSNS-II (preliminary stage)

At the second stage of China Spallation Neutron Source (CSNS-II), it is predicted that 2 PB raw experimental data will be produced annually from twenty instruments. Scientific computing puts forward higher requirements for data sharing, utilization, retrieval, analysis efficiency, and security. However, the existing data management system (DMS) based on ICAT has several limitations including poor scalability of metadata database, imperfect data-management lifecycle and inflexible API. To ensure the accuracy, usability, scalability and efficiency of CSNS-II experimental data, a new scientific data management system is therefore designed based on the DOMAS framework developed by the Computing Center of IHEP. The data acquisition, transmission, storage and service systems are re-designed and tailored specifically for CSNS-II. Upon its completion, the new DMS will overcome the existing challenges and offer functions such as online display, search functionality and rapid download capabilities for metadata, raw data and analyzed data; flexible and user-friendly authorization; and data lifecycle management. Ultimately, the implementation of the new Data Management System (DMS) is expected to enhance the efficiency of experimental data analysis, propelling CSNS-II to achieve international advanced standards. Furthermore, it aims to reinforce self-reliance and technological strength in the field of science and technology at a high level in China. The development and deployment of the new DMS begin at the end of 2023.

Using Optimization Techniques in Grammatical Evolution

The Grammatical Evolution technique has been successfully applied to a wide range of problems in various scientific fields. However, in many cases, techniques that make use of Grammatical Evolution become trapped in local minima of the objective problem and fail to reach the optimal solution. One simple method to tackle such situations is the usage of hybrid techniques, where local minimization algorithms are used in conjunction with the main algorithm. However, Grammatical Evolution is an integer optimization problem and, as a consequence, techniques should be formulated that are applicable to it as well. In the current work, a modified version of the Simulated Annealing algorithm is used as a local optimization procedure in Grammatical Evolution. This approach was tested on the Constructed Neural Networks and a remarkable improvement of the experimental results was shown, both in classification data and in data fitting cases.

Revisiting Male Allies in Mathematics and Physics Throughout History: Role Models for Men in STEM Education

In the academic world, there are also gender inequalities, which are especially visible in certain masculinized STEM areas, such as physics and mathematics. An essential factor in correcting these inequalities is the involvement of men, who should act as “allies” in the university setting. Likewise, as the literature shows us, we must offer models with gender-incongruent roles to break down stereotypes and promote non-traditional behaviors. However, to date, these actions have been especially directed toward women, who generally do not hold power and therefore have less possibility of promoting change. For the first time, this work compiles, in a single document, important male physicists and mathematicians who acted as allies of women throughout history. These examples can be presented to provide male references in the teaching of physics and mathematics at university (and high school). With this initiative, we intend to contribute to incorporating the gender perspective in university teaching, since, in practice, university professors are unaware of references of alternative masculinities in the academic world. We hope that this article will be the seed to recover hidden male allies in these and other scientific fields. This can help break down stereotypes, and contrary to previous actions, this work is especially directed toward men.

“Recovery is Complicated”: A Qualitative Exploration of Canadian University Students’ Diverse Recovery Experiences

ABSTRACT While the field of recovery science has burgeoned over the past two decades, little research has considered the experiences of university students in recovery from addiction, particularly in Canada. Addressing this gap, using a recovery capital framework, 16 qualitative interviews were conducted to explore students’ meanings, experiences, and barriers/facilitators to recovery from problematic substance use and/or behaviors. Reflexive thematic analysis revealed three main themes: 1. multiple recovery pathways and identities; 2. stigma and disclosure; and 3. proximity to campus community and resources. Recommendations to create more recovery-friendly campuses are provided.

Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection

Outliers are observation values that are very different from most observations. The presence of outliers in data can have a negative impact on research but can contain important information for other research. So, identifying outliers before conducting data analysis is a crucial thing to do. Outlier detection methods/techniques were first pioneered by researchers in statistics. However, due to rapid technological advances which have an impact on the ease of collecting extensive data, the development of outlier detection techniques is now handled mainly by researchers in the field of computer science (data mining) using computing facilities. This research aims to examine the results of simulation studies by comparing methods for identifying several outliers using statistical approaches and data mining algorithm approaches in various predetermined data scenarios. Based on the scenario carried out, the outlier detection method using a statistical approach is generally better than the outlier detection method using a data mining-based approach. Suggestions for further research are to improve the data mining method by focusing more on statistical analysis apart from focusing on data processing computing time so that the expected results of outlier detection are faster and more precise.

A ‘heavy hammer to crack a small nut'? The creation of the European Molecular Biology Conference (EMBC), 1963–1970

ABSTRACT This article reconstructs the complex diplomatic negotiations that led to the peculiar organization of molecular biology at the European level, by focusing in particular on the establishment of the European Molecular Biology Conference (EMBC), the intergovernmental structure founded in 1969–70 to support the scientific program of the European Molecular Biology Organization (EMBO). By combining the analysis of the informal decision-making kept in the Nobel Prize laureate John C. Kendrew’s personal papers (Oxford) with the in-depth exploration of the institutional documentation available in the EMBO and CERN archives (Heidelberg and Geneva) and the Swiss Federal Archives (Bern), the article sheds light on the importance of the EMBC not only for the construction of molecular biology as a scientific, social, and political field in the European context, but also for the broader process of definition of the European research policy. Far from being just a mere replica of CERN, the EMBO/EMBC inaugurated in fact an alternative and flexible ‘bottom-up’ model of science policy in the European context, based on competition, networking, and scientific excellence, which paved the way to the establishment of the European Research Council (ERC) in the early 2000s.

Unconventional approaches for chiral resolution.

Chirality is a fundamental and ubiquitous property of nature involved in multiple fields of science. In particular, the possible resolution of the enantiomeric forms of a molecule is crucial in the pharmaceutical, food, and agrochemical industries. The search for efficient, broad-spectrum, and yet simple methods for obtaining enantiomerically pure substances is a current challenge. Enantioselective resolution methods rely on an asymmetric environment that allows the two antipodes of a chiral moleculeto be distinguished. In addition to enantiomeric separation techniques, such as chromatography and electrophoresis, new promising approaches involving out-of-the-scheme synergistic effects between chiral selectors (CS) and external stimuli are emerging. This Trends article discusses different enantioselective mechanisms triggered by unconventional physicochemical stimuli for the design of avant-garde approaches that could offer novel perspectives in the field of chiral resolution.

Development of an IoT based 3D printed Mobile Robot Platform for training of Mechatronics Engineering Students

The advent of the Internet of Things (IoT) has opened up new opportunities in education, particularly in the field of mobile robotics. Mobile robotics is a fast-growing field, and with the increasing demand for skilled robotics engineers, it is essential to provide students with hands-on experience in designing and developing robots. In this regard, an IoT-based 3D printed mobile robot platform has been developed for students training. STEM (Science, Technology, Engineering, and Mathematics) education has been gaining attention as a means to improve science and engineering education. STEM education aims to foster critical thinking, problem-solving skills, creativity, and innovation among students. It involves an educational policy that aims to develop the next generation of skilled professionals by integrating the fields of Science, Technology, Engineering and Mathematics. The goal of this approach is to provide students in mechatronics, who are assigned to the robotics lab during their studies, an up to date knowledge and experience in research and development activities. Thus, this paper aims to provide education that focuses on the acquisition and application of engineering knowledge, including control engineering, mechanical engineering, electrical and electronic engineering, information engineering, among others, with the main focus on mobile robot research.

RamanSPy: An Open-Source Python Package for Integrative Raman Spectroscopy Data Analysis.

Raman spectroscopy is a nondestructive and label-free chemical analysis technique, which plays a key role in the analysis and discovery cycle of various branches of science. Nonetheless, progress in Raman spectroscopic analysis is still impeded by the lack of software, methodological and data standardization, and the ensuing fragmentation and lack of reproducibility of analysis workflows thereof. To address these issues, we introduce RamanSPy, an open-source Python package for Raman spectroscopic research and analysis. RamanSPy provides a comprehensive library of tools for spectroscopic analysis that supports day-to-day tasks, integrative analyses, the development of methods and protocols, and the integration of advanced data analytics. RamanSPy is modular and open source, not tied to a particular technology or data format, and can be readily interfaced with the burgeoning ecosystem for data science, statistical analysis, and machine learning in Python. RamanSPy is hosted at https://github.com/barahona-research-group/RamanSPy, supplemented with extended online documentation, available at https://ramanspy.readthedocs.io, that includes tutorials, example applications, and details about the real-world research applications presented in this paper.

Trends in mathematics education and insights from a meta-review and bibliometric analysis of review studies

AbstractReview studies are vital for advancing knowledge in many scientific fields, including mathematics education, amid burgeoning publications. Based on an extensive consideration of existing review typologies, we conducted a meta-review and bibliometric analysis to provide a comprehensive overview of and deeper insights into review studies within mathematics education. After searching Web of Science, we identified 259 review studies, revealing a significant increase in such studies over the last five years. Systematic reviews were the most prevalent type, followed by meta-analyses, generic literature reviews, and scoping reviews. On average, the review studies had a sample size of 99, with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines commonly employed. Despite certain studies offering nuanced distinctions among review types, ambiguity persisted. Only about a quarter of the studies explicitly reported employing specific theoretical frameworks (particularly, technology, knowledge, and competence models). Co-authored publications were most common within American institutions and the leading countries are the United States, Germany, China, Australia, and England in publishing most review studies. Educational review journals, educational psychology journals, special education journals, educational technology journals, and mathematics education journals provided platforms for review studies, and prominent research topics included digital technologies, teacher education, mathematics achievement, and learning disabilities. In this study, we synthesised a range of reviews to facilitate readers’ comprehension of conceptual congruities and disparities across various review types, as well as to track current research trends. The results suggest that there is a need for discipline-specific standards and guidelines for different types of mathematics education reviews, which may lead to more high-quality review studies to enhance progress in mathematics education.