Development Of Science Research Articles

Scientific and technological development of the regions: trends and activation determinants

Scientific and technological development of the regions: trends and activation determinants

Digital Transformation in Education at Thu Dau Mot University

In an era of rapid scientific and technical development, universities that want to survive and develop must always innovate and update scientific and technical advances in all activities of their units. Digital transformation is one of the practical activities to improve the quality and operations of universities. At Thu Dau Mot University, digital transformation is an issue that the school is very interested in and developing. In this article, the author focuses on understanding and analyzing the current state of digital transformation at Thu Dau Mot University campus, finding the causes and limitations that need to be overcome.

Analysis of Ecuador's Higher Education processes

The Higher Education system in Ecuador has undergone significant transformations in recent years, driven by certain political reforms, the factors that have affected it are the use of advanced technologies and a focus on inclusion and diversity. This article analyzes these changes and their impact on the country's educational institutions. It is based on the Organic Law of Higher Education (LOES) of 2010 which has been crucial to improve the quality and accessibility of education, resulting in a 20% increase in university enrollment. In addition, universities are adapting their academic programs and curriculum designs to align with the needs of the labor market, collaborating closely with industry to develop relevant skills. The incorporation of online learning platforms, accelerated by the COVID-19 pandemic, has allowed for greater flexibility and accessibility, adopting hybrid models that combine face-to-face and online learning. Inclusion and diversity policies have been effective in increasing the representation of underrepresented groups, although challenges related to inequality and funding persist. Emphasis on research and collaboration with international institutions is positioning Ecuadorian universities in the global academic arena, fostering scientific and technological development. These efforts, together with the adoption of educational technologies and inclusive policies, indicate that the higher education system in Ecuador is undergoing a significant transformation process, preparing to face future challenges with a solid foundation in reform, inclusion, and technology.

Mesterséges intelligencia és a rendészetelmélet

Aim: The aim of the publication is to demonstrate the usability of ChatGPT, which is widely available free of charge and quickly gaining popularity, at a general user level in the field of law enforcement theory and police science. Methodology: The paper shows the limitations and potential of the program by providing direct instructions to the system and the texts generated by the program without any changes, and by briefly explaining them. Findings: The revolutionary rise of artificial intelligence, in particular the general availability of large language models, has a major impact on police theory and could be a driver of future change, with both opportunities and threats. Artificial intelligence can play a major role in the scientific development of police theory, including all aspects of the establishment of law enforcement (professional publications, university education, professional organisations, tradition), but this requires the commitment of those working in the field. The programme under consideration currently has its limitations, but the exponential development that is expected will challenge the science of law enforcement theory, as well as law enforcement itself. Value: On the one hand, the author hopes that the publication will bring artificial intelligence, including ChatGPT, to prospective users who are eager to try and exploit it in their scientific work. On the other hand, it draws attention to the limitations of the current version of the programme.

The process of co‐design for a new anxiety intervention for autistic children

AbstractBackgroundMental health difficulties are common for autistic people; however, almost no interventions have been co‐designed with the autistic community. Co‐design has the potential to add important insights from lived experience into intervention design, but there are currently limited examples of how rigorously to undertake this practice. This paper details a worked model of co‐design and its process, focussed on adapting an evidenced parent‐led intervention for non‐autistic child anxiety (HYC), to meet the needs of young autistic children. The aim is to provide an example of co‐design, integrating autistic, parental, academic, clinical, experience and expertise.MethodsUsing prior literature and theory, including Experience‐Based Co‐Design, we developed an iterative and collaborative process between the research team and an expert reference group (ERG). The research team comprised autistic and non‐autistic members. The ERG included parents (autistic and non‐autistic) of autistic children with anxiety problems, autistic adults with experience of anxiety problems, and clinicians with experience supporting autistic children with anxiety problems. The ERG and research team reviewed information from qualitative research interviews with autistic children with anxiety problems and their parents along with information from clinical experience and the academic literature to reach consensus on the adapted intervention design.ResultsThe creation of a truly co‐designed intervention that includes a neurodiversity‐affirmative perspective, alongside CBT techniques. With anxiety problems experienced by autistic children being framed by combining the impacts of being neurodivergent in a neurotypical world, developmental science and well known cognitive behavioural models of child‐anxiety.ConclusionCo‐design can help to integrate multiple perspectives and result in the creation of interventions that are potentially relevant and acceptable to autistic people, their family members, and clinicians.

Research on the Application of Automation Technology in the Design and Manufacture of Mechanical Equipment

Under the background of the information technology era, the related work of mechanical equipment design and manufacturing needs to be backed by automation technology, so as to achieve more efficient and scientific development. The scientific application of automation technology can greatly reduce the input resources and costs in the process of designing and manufacturing mechanical equipment, and comprehensively improve the development efficiency of mechanical equipment and manufacturing. In view of this, this paper in the process of research, firstly, a brief overview of the content of automation technology, secondly, put forward the application of automation technology in the design and manufacturing of mechanical equipment, for reference only.

МЕСТО И ЗНАЧЕНИЕ КРИМИНАЛИСТИЧЕСКОГО ОРУЖИЕВЕДЕНИЯ В СИСТЕМЕ СОВРЕМЕННОЙ КРИМИНАЛИСТИЧЕСКОЙ НАУКИ

The article is devoted to theoretical and applied principles that reveal the place and significance of forensic weapons science in the system of modern forensic scientific knowledge. The state of its scientific development within the framework of the forensic technology section at the present time is examined. The increased importance of forensic weapons science in the activities of law enforcement agencies in solving and investigating crimes is substantiated. The essential characteristics of foren-sic weapons science in the process of investigative activities are revealed. Promising directions for the development of forensic weapons science in the short term are substantiated.

Classification and analysis of the types of interaction of regional innovation systems

This article is devoted to a detailed study of the interaction between innovation systems and innovation processes. The application of the regional-national innovation system (RIS) model has been studied, and it has been revealed that it is a targeted strategy aimed at accelerating economic growth through the introduction of scientific developments into the production cycle. The importance of including distinctive regional characteristics in analytical models for a more adequate representation of the real innovative and competitive capabilities of the regions under consideration is substantiated. The need for modification of methodologies for the analysis of regional innovation systems (RIS), adapted to the specifics of local development and external integration, is emphasized. It has been established that an adequate assessment of the innovative capacities and positions of regions in the global economic space is hampered by the presence of divergence in classification standards. The need to include a new type of RIS in the classification is shown, which adequately reflects the initial stages of systems development in the context of unique Russian regional features. An analysis of the dynamics of interaction between key actors within these systems has been obtained, contributing to a deep understanding of the mechanisms of transfer of innovative knowledge among actors, providing tools for managing the development of regions, identifying the drivers of their competitive advantages and focusing on market participants.

In-Situ Liquid-Electrochemical X-Ray and Electron Microscopy for Multi-Modal Energy Materials Characterization

In-situ liquid cell electron and x-ray microscopy have enabled dynamic studies of electrochemical reactions in energy materials and revealed relationships between the performance, structure, and chemical composition of these material systems. Such fundamental relationships are critical to improving the performance of batteries, catalysts, and other energy materials. Growing research interest in energy materials systems has accelerated the development of in-situ liquid-electrochemical microscopy techniques into mature and robust characterization workflows using novel and versatile scientific hardware.Multiple characterization techniques or in-situ processing steps are often required to fully understand the mechanisms governing the behavior of energy materials for all relevant length scales and environmental conditions. A multi-modal workflow combining in-situ liquid-electrochemical transmission electron, X-ray synchrotron and scanning electron microscopy methods is presented. The breadth of research applications is discussed, including the study of chemical dynamics and structural changes to micron-scale LixFePO4 battery particles during lithium-ion insertion/extraction, electrocatalytic behavior of β-Co(OH)2 platelet particles, and electrochemical oxidation of copper nanoparticles under reductive electrolytic conditions. New insights into these materials systems provided by these experiments will directly inform the development of predictive models for material performance and guide improvement of material design and synthesis.New scientific hardware and method development has been critical to in-situ nano-scale liquid cell microscopy and spectroscopy of electrochemical systems. Therefore, best-practice hardware and method design and development for these in-situ liquid-electrochemical microscopy experiments are also discussed. The connections between potentiostat, holder, and on-chip leads must be carefully considered with respect to different ground potentials, and the incorporation of real bulk-scale reference electrodes in this hardware has yielded quantitatively higher fidelity data with less degradation from further electrochemical cycling. Heating the sample or illuminating with light during in-situ electrochemical data collection has begun to further expand the range of environmental conditions that can be incorporated into experiments.

An Integration Method of UML Diagrams and Arduino UNO for Developing Water Pollution Detection System

Despite the scientific and health development in the world, water pollution can pose a threat to human health, whether the pollutants are biological or chemical. In addition, traditional methods of water pollution detecting require high costs, and take time. Due to the importance of water for human life, drinking, irrigation, or for use in industry etc. Thus, reliable methods for water contamination detecting are a crucial issue.This paper aims to propose an integration method of UML diagrams and Arduino UNO microcontroller for developing water pollution detection system. The proposed method consists of three phases, which are system’s design, system's schematic and system’s architecture. It uses use case diagram and sequence diagram. In addition, the system design consisting of a microcontroller and multiple connected sensors for water pollutant detection, namely pH, turbidity, dissolved solids, temperature, oxidation reduction potential and electrical conductivity. The result of this paper is the production an automatic water pollutant detection prototype using Arduino and UML diagrams to display the water pollution parameters. The variables pH, turbidity, dissolved solids, temperature, oxidation reduction potential and electrical conductivity were chosen because they are the physical and chemical parameters that most influence water quality. The proposed system is characterized by measuring the water quality in real time, low cost and its data is accurate and fast.

Postoperative rehabilitation exercise experiences of geriatric patients with femoral neck fractures based on the perspective of medical staff: a qualitative study

BackgroundThe incidence of femoral neck fractures in older adults is increasing each year. Active and reasonable postoperative rehabilitation exercises can restore the activity of geriatric patients with femoral neck fractures to a great extent, while also avoiding bedridden complications and re-fractures. This study explores the perspectives, experiences, and recommendations of medical staff regarding the implementation status, existing problems, promoting factors, and hindering factors of post-surgical rehabilitation exercises for geriatric patients with femoral neck fractures. The ultimate goal is to further optimize rehabilitation exercise programs and to expedite this process for patients. MethodsA qualitative, descriptive phenomenological study was conducted. A total of 21 clinical medical staff were selected using the purposive sampling method for semi-structured interviews. A content analysis method was used to collate and analyze the collected interview data.ResultsA total of 2 themes and 6 sub-themes were defined. The themes consisted of multiple obstacles occurring during the implementation of rehabilitation exercises and the scientific cognition of medical staff on these exercises. Respondents found that patient initiative during rehabilitation exercises was insufficient, that the comprehensiveness and continuity of exercises could not be guaranteed, and that unification between textbook theory and clinical practice was incomplete. Moreover, respondents believed that their professional quality should be excellent, but that staffing and organizational management required optimization, and that support was required for the implementation of rehabilitation exercises.ConclusionThis study investigated the opinions and experiences of medical staff during postoperative rehabilitation exercises in geriatric patients with femoral neck fractures. Collaborative efforts should fully engage hospitals, communities, and families, enhance the alignment of health education with patient needs, advance the scientific development of an integrated medical model by refining the curriculum and teaching system, and significantly elevate the level of medical science and technology. This study will serve as a valuable reference for the establishment of future professional, and personalized rehabilitation programs tailored for geriatric patients with femoral neck fractures.

Mothers with low incomes view both individual and structural interventions as potentially helpful for supporting early child development

Many developmental psychologists aspire to conduct research that informs interventions and policies to prevent income-related disparities in child development. Among growing researcher discussion about the value of interventions that target “structural” and resource-related correlates of income inequality and child development (e.g., housing, food, material goods, cash), rather than individual, person-centered correlates (e.g., parenting behaviors), the perspectives of mothers with low incomes may provide important context. 281 mothers with young children and low incomes rated various structural and individual interventions, framed as having minimal costs and entry barriers, for their perceived helpfulness. Analyses were pre-registered. Overall, mothers rated all interventions very highly, though they rated structural interventions as slightly more helpful than individual interventions. Mothers rated interventions they used in the past as less helpful than those they hadn’t previously used. An exploratory qualitative analysis revealed mothers’ desires for supports in other intervention domains beyond those addressed in our survey. Together, mothers’ responses indicated that they did not see individual interventions as inherently unhelpful due to a focus on individual states, knowledge, and skills. Implications for developmental psychology and intervention science are discussed.

Sistem Informasi Perizinan Santri Online pada Pondok Pesantren Modern Darul Ihsan Berbasis Web

Scientific development today is developing very rapidly especially in the field of IT is a necessary area of society to maximum convenience and optimum results. In the neighborhood of the Modern Pondok Pesantren Darul Ihsan the licensing system is still done manually and is not computerized. Besides, the governor repeatedly applied for permission but not on the permission schedule. So from that, we need some kind of web-based online licensing system to help work the privacy and security parts. In this article, the author uses the Waterfall method, which is a method of developing a system or software where the work process of the system is run sequentially and systematically. This online licensing system is expected to help the central guardian in the license process and speed up the licencing process to make it easier.

What do you think being a good scientist involves? School students’ views about science, scientific research, and being scientists

ABSTRACT Students often convey positive perceptions of science and scientists, although fewer express aspirations towards becoming scientists. Students’ science identities may link with wider perceptions, including what working as a scientist involves, although less research has explored these perceptions in detail. To gain new insights, questionnaire responses were considered from 289 school students across Year 9 to Year 13 (age 13/14 to 17/18 years old) from England and the island of Guernsey. Many students within the sample felt informed about science and scientific research and developments (67%), but fewer agreed that they saw themselves as scientists now (19%) or in the future (33%). Students’ written responses to ‘What do you think being a good scientist involves?’ were analysed and encompassed themes including: working scientifically; curiosity and discovery; determination, resilience, and perseverance; ability and understanding; interest, passion, and motivation; and openness to new ideas and different views. Some differences in the prevalence of themes were revealed across students with different characteristics, circumstances, and science identities. The findings offer new insight into students’ perceptions, to help understand how being a (good) scientist may be more or less feasible for different students.

Data Collection for Cultural Heritage Risk Management: the Damage Map through Heritage Building Information Modeling (HBIM) Project Applied to the Façade of St Francis of Assisi, Ouro Preto, Brazil

ABSTRACT The development of precise analytical methodologies, together with the systematic use of verifiable data, aims to raise standards for treatment, risk management, and maintenance programs. This endeavor aims to diminish the frequency of subsequent restoration cycles, thereby positively impacting public spending and fostering the preservation of the authentic characteristics of historical buildings, particularly by mitigating the effects of decay. The Damage Map through Heritage Building Information Modeling (HBIM) project, funded by the National Council for Scientific and Technological Development (CNPq) and Minas Gerais Research Support Foundation (FAPEMIG), both Brazil, aims to establish protocols for risk management in historical buildings, with a focus on decorative stone elements integrated into the construction. For this reason, the stone relief on the façade of the church of St Francis of Assisi in Ouro Preto, Brazil, was chosen as a case study. This paper outlines the data collection methodology applied to study the stone. This approach encompasses historical examinations of restoration cycles, along with preliminary findings derived from extensive fieldwork, conducted by a multidisciplinary team in 2023. It elucidates the data collection stage, employing photography and aerial photogrammetry, ultraviolet fluorescence photography, mobile laser scanning, and thermography. Subsequently, all collected data will be used to construct a diagnostic model within the HBIM.

On the Role of the Parliament of the Kyrgyz Republic in the Development and Implementation of Scientific and Research-Engineering Policies

On the Role of the Parliament of the Kyrgyz Republic in the Development and Implementation of Scientific and Research-Engineering Policies

Large-scale proteomics in the first trimester of pregnancy predict psychopathology and temperament in preschool children: an exploratory study.

Understanding the prenatal origins of children's psychopathology is a fundamental goal in developmental and clinical science. Recent research suggests that inflammation during pregnancy can trigger a cascade of fetal programming changes that contribute to vulnerability for the emergence of psychopathology. Most studies, however, have focused on a handful of proinflammatory cytokines and have not explored a range of prenatal biological pathways that may be involved in increasing postnatal risk for emotional and behavioral difficulties. Using extreme gradient boosted machine learning models, we explored large-scale proteomics, considering over 1,000 proteins from first trimester blood samples, to predict behavior in early childhood. Mothers reported on their 3- to 5-year-old children's (N = 89, 51% female) temperament (Child Behavior Questionnaire) and psychopathology (Child Behavior Checklist). We found that machine learning models of prenatal proteomics predict 5%-10% of the variance in children's sadness, perceptual sensitivity, attention problems, and emotional reactivity. Enrichment analyses identified immune function, nervous system development, and cell signaling pathways as being particularly important in predicting children's outcomes. Our findings, though exploratory, suggest processes in early pregnancy that are related to functioning in early childhood. Predictive features included far more proteins than have been considered in prior work. Specifically, proteins implicated in inflammation, in the development of the central nervous system, and in key cell-signaling pathways were enriched in relation to child temperament and psychopathology measures.

Up-conversion luminescence and energy transfer of Tm3+-Yb3+ co-doped NaLaSiO4 crystalline phase glass-ceramics

Abstract In recent years, up-conversion luminescence has attracted much attention due to its wide range of applications, and the choice of host material often determines the luminescence properties. Despite the remarkable scientific and technological development of glass-ceramics in the last decades, research on up-conversion luminescence in silicate glass-ceramics still needs to be further developed. In this research work, glass ceramics with NaLaSiO4 crystalline phase were successfully precipitated in precursor glass co-doped with Tm3+-Yb3+. The transmittance of glass-ceramics was about 73% in the visible range. Efficient up-conversion of Tm3+ with blue emission was achieved by adjusting the concentration of Yb3+ under pumping at 980 nm. The optimal concentration of Yb3+ was 0.7%, above which a concentration burst occurred. The chromaticity coordinates at the optimum luminous intensity are (0.1101, 0.1495), which are located in the blue region. The research work suggests that this glass-ceramic has potential as a blue solid-state laser.

Mega Research Infrastructure as a Driver for High-quality Development and Innovation: Promoting Scientific Cooperation and Interdisciplinarity

Mega research infrastructures, as megaprojects, play a crucial role in promoting high-quality development, particularly in relation to innovation. They contribute to the development of disciplinary layouts and scientific collaborations. Additionally, during the operational phase of a infrastructure, maximizing efficiency and ensuring sustainable development become key aspects of project management. The operation of mega research infrastructures involves increasing levels of interdisciplinarity, interagency collaboration, and cross-regional cooperation. Therefore, it is essential to further clarify the characteristics of scientific collaboration within these facilities and understand the current status and evolving trends of disciplinary and collaborative networks. This work serves as a fundamental and necessary endeavor. In this study, we employ social network analysis methods to investigate the Shanghai Synchrotron Radiation Facility as a case study. We analyze the network structure and evolution of its collaborative and disciplinary networks from 2009 to 2022. The findings reveal the enormous potential and value of mega research infrastructures in promoting scientific research cooperation and development. They emphasize the need for increased attention and support for instrument scientists by facility managers, as well as the importance of expanding collaboration areas and formats to enrich the range of disciplines involved. The contribution of this study lies in its systematic analysis of the evolutionary process of collaborative and disciplinary networks within mega research infrastructures. It reveals the scientific value of these facilities in driving scientific research cooperation and interdisciplinary integration, providing a scientific basis for project management and policy formulation in the operational phase of mega research infrastructures. The research will align the strategic development direction of mega research infrastructures with the requirements of high-quality development and deepen the foundational role of mega research infrastructures in supporting high-quality development.

High-performance and wavelength-transplantable on-chip Fourier transform spectrometer using MEMS in-plane reconfiguration

On-chip spectrometers with high compactness and portability enable new applications in scientific research and industrial development. Fourier transform (FT) spectrometers have the potential to realize a high signal-to-noise ratio. Here we propose and demonstrate a generalized design for high-performance on-chip FT spectrometers. The spectrometer is based on the dynamic in-plane reconfiguration of a waveguide coupler enabled by an integrated comb-drive actuator array. The electrostatic actuation intrinsically features ultra-low power consumption. The coupling gap is crucial to the spectral resolution. The in-plane reconfiguration surmounts the lithography accuracy limitation of the coupling gap, boosting the resolution to 0.2 nm for dual spectral spikes over a large bandwidth of 100 nm (1.5–1.6 μm) within a compact footprint of 75 μm×1000 μm. Meanwhile, the in-plane tuning range can be large enough for arbitrary wavelengths to ensure the effectiveness of spectrum reconstruction. As a result, the proposed spectrometer can be easily transplanted to other operation bands by simply scaling the structural parameters. As a proof-of-concept, a mid-infrared spectrometer is further demonstrated with a dual-spike reconstruction resolution of 1.5 nm and a bandwidth of 300 nm (4–4.3 μm).