Subject Of Research Research Articles

APRD: action partnership research design: reimagining the role of the user in library and information science research

PurposeResponding to the continuing separation of participants and researchers in LIS participatory research, a new methodology is proposed: action partnership research design (APRD). It is asserted that APRD can mitigate or remove the hierarchical structures often inherent in the research process, thus allowing for equal contribution from all.Design/methodology/approachBuilding on the bonded design (BD) methodology and informed by a scoping literature review conducted by the same authors, APRD is a human-centered research approach with the goal of empowering and valuing community partnerships. APRD originates from research investigating the use of participatory design methods to foster collaboration between two potentially disparate groups, firstly with adult researchers/designers and elementary school children, and secondly with university faculty and IT professionals.FindingsTo achieve this goal, in addition to BD techniques, APRD draws inspiration from elements of indigenous and decolonization research methodologies, particularly those with an emphasis on destabilizing power hierarchies and involving research participants as full partners.Originality/value APRD, which emerged from findings from previous participatory design studies, especially those of BD, is based on the premise of partnership, recognizing that each member of a design team, whether researcher or participant/user, has unique expertise to contribute. By considering participants/users as full research partners, APRD aims to flatten the hierarchies exhibited in some LIS participatory research methodologies, where participants are treated more like research subjects than partners.

When employees behave unethically in the name of the company: the effect of cognitive moral development

Purpose This study aims to investigate the association between cognitive moral development (CMD) and unethical pro-organizational behaviour (UPB) by taking purchasing employees as research subjects. The moderating effect of perceived leader’s UPB is also explored. Design/methodology/approach Data were collected through a two-stage questionnaire survey on purchasing employees in companies across a spectrum of industries in Taiwan, and 492 purchasing employees were analysed in the study. Findings Research findings reveal that employees at the conventional level of CMD are more likely to conduct UPB than those at the pre-conventional and post-conventional levels. Perceived leader’s UPB will moderate the association between CMD and UPB. Employees’ UPB is strongly associated with their CMD when they perceive their leaders as being likely to perform UPB. Originality/value Although a variety of factors influencing UPB have been proposed in the literature, none of them have analysed the association between CMD and UPB. However, CMD is one important factor affecting ethical decision-making. The present study can promote further understanding of the role of CMD in UPB and contribute to a growing body of research on CMD and UPB.

Analysis of China’s “three supports and one assistance” policy from the perspective of policy tool

This paper takes China’s “three supports and one assistance” policy implemented from 2018 to 2023 as the research subject and conducts a quantitative analysis of policy texts through the establishment of a two-dimensional analytical framework. The study reveals that the overall policy structure in China is unbalanced, evident in issues such as an overemphasis on environmental policies, a lack of supporting construction policies, low participation from universities and rural entities, a relatively homogenous type of policy texts, and a dearth of authoritative legal and regulatory control documents. Consequently, it is imperative to appropriately optimize the overall structure of policy tools, comprehensively consider the rational layout of various policy instruments, enhance the development of supporting facilities, laws, and regulations, promote the long-term and sustainable role of universities and rural subjects in policies, and further supplement the diversity of relevant policy texts.

M.ACİZİN “DİVAN”ında İŞLƏNƏN MƏİŞƏT LEKSİKASININ TƏHLİLİ

Analysis of household lexicon used in M.Aciz "Divan" Summary The household lexicon refers to the words that describe the names of the most important and necessary things that people use every day. This includes the names of food, clothing, decorations, and household items used in daily life. Muhammad Khalifa Ajiz, one of the prominent figures of South Azerbaijani literature, unfor¬tu¬na¬tely, is one of the writers who are not so familiar to the reader of modern Azerbaijani literature, and whose research works are rarely written about him. Although the language of Ajiz's poems is the subject of research by Iranian and Turkish scholars, the importance of his "Divan" for the vocabulary of the Azer¬bai¬jani language has been neglected. In this article, the artistic language of Muhammad Khalifa Ajiz is analy¬zed from a lexicographic point of view. The interesting part of the Ajiz lexicon is the less used lexicon that is used in certain regions of South Azerbaijan and which can be encountered by the current modern reader. Key words: South Azerbaijan literature, Ajiz, linguistics, lexicon

A retrospective cohort study: is COVID-19 BNT162b2 mRNA vaccination a trigger factor for cluster headache?

Patients with a history of CH and who had never experienced COVID-19 illness during the pandemic were included in this retrospective cohort analysis. The semi-structured survey was administered face to face to 24 CH patients (16 male). The headache features before and after vaccination were detailed in this survey. 18 patients got vaccinated twice, and 6 of them had no vaccination. After the first vaccination, 83.3% of them had CH bout; after the second vaccination, 72.2% of them had CH bout. We divided headache episodes into three groups: (1) before vaccination, (2) after the first vaccination, and (3) after the second vaccination. The third group had a higher pain intensity (9.30 ± 0.630, p=0.047) and remitting longer (20.00 ± 5.40days, p=0.019) than the other groups. The management of the 53.3% bouts after vaccinations was less effective than the usual episodes. Most ECH patients experienced new bouts more intense and longer duration after vaccinations than their previous bouts, the mechanism, and pathogenesis of the bouts are the subject of future research. The new studies can be a light for understanding the CH pathophysiology more deeply.

The platelet concentrates’ the hallmark in regeneration

Numerous studies have been done on the use of biocompatible materials in regenerative medicine. Platelet concentrates, also known as concentrated growth factor, platelet-rich fibrin, and platelet-rich plasma, are the result of centrifuging blood to separate out the platelets. Platelet concentrations have generated a great deal of discussion in both soft and hard tissue engineering. In fact, growth factors, fibrin matrix, and platelets are among the components of autologous platelet concentrate that are essential for the healing of wounds. Modern techniques for tissue restoration by increasing the properties of autologous platelet concentrates are the subject of current research. The usage of platelet concentrates and their role in tissue regeneration are addressed in the current study, along with a number of new advances and its biological effects.

Nonlinear Optical Properties of 2D Materials and their Applications.

2D materials are a subject of intense research in recent years owing to their exclusive photoelectric properties. With giant nonlinear susceptibility and perfect phase matching, 2D materials have marvelous nonlinear light-matter interactions. The nonlinear optical properties of 2D materials are of great significance to the design and analysis of applied materials and functional devices. Here, the fundamental of nonlinear optics (NLO) for 2D materials is introduced, and the methods for characterizing and measuring second-order and third-order nonlinear susceptibility of 2D materials are reviewed. Furthermore, the theoretical and experimental values of second-order susceptibility χ(2) and third-order susceptibility χ(3) are tabulated. Several applications and possible future research directions of second-harmonic generation (SHG) and third-harmonic generation (THG) for 2D materials are presented.

PhbZIP2 regulates photosynthesis-related genes in an intertidal macroalgae, Pyropia haitanensis, under stress

Intertidal macroalgae are important research subjects in stress biology. Basic region-leucine zipper transcription factors (bZIPs) play an important regulatory role in the expression of target genes under abiotic stress. We herein identified a bZIP2 gene PhbZIP2 to regulate abiotic stress tolerance in Pyropia haitanensis, a representative intertidal macroalgal species. Cloning and sequencing of the cDNA characterized a BRLZ structure and an α coiled-coil structure between amino acids and Expression of PhbZIP2 was detected to upregulate under both high temperature and salt stresses. A DAP-seq analysis revealed the PhbZIP2-binding motifs of (T/C)TCCA(C/G) and A (A/G)AAA (G/A), which differed from the conserved motifs in plants. Overexpression of PhbZIP2 was indicative of a high temperature and salt stress tolerances in transgenic Chlamydomonas reinhardtii. It was suggested that PhbZIP2 was probably involved in regulating expression of the photosynthetic-related genes and the response to the abiotic stresses in P. haitanensis, which provide new insights for elucidating efficient adaptation strategies of intertidal macroalgae.

Self-assembling lipolytic hydrogels

Background: Enzymatically active biomaterials, which are used in a variety of applications, such as tissue engineering and biosensors, have been the subject of research. Protein engineers created self-assembling enzymes as a result of improvements in the manufacturing and design of peptide-based biomaterials. In this regard, enzymes with cross-linking domains make it possible to create biomaterials that have a number of benefits, such as simple low-cost production, homogenous dispersion of activity in the hydrogel, and the ability to co-localize enzymes, which can all work together to increase the protein’s stability. Method: To test this theory, we combined lipases with leucine zipper domains to produce enzyme building blocks that self-assembled into lipolytic hydrogels. In this work, a chimeric protein with self-assembling capabilities was produced by introducing leucine zippers through a pET plasmid into the hydrogel-forming triblock polypeptide and the gene of interest. The chimaera was shown to have improved solubility and stability as well as the ability to form soluble aggregates. Additionally, the hydrogel’s catalytic capabilities for several substrates were investigated. Results: It could be concluded that the triblock peptide increased the solubility of protein by reducing the inclusion body formation. Thereby, increasing the purified protein concentration. In order to create bifunctional lipolytic hydrogels, the study combines the self-assembly function of leucine zippers with the catalytic activity of lipase. The self-assembling enzymatic gels offer an attractive method for in vivo enzyme entrapment with wide applications.

Transformations of Subjectivity in Post-Non-Classical Science

Relevance. As the Сomplexity of the subject's dialogue and communication environment increases, the need to increase its connectivity increases as an evolutionary way to preserve conscious ability.Purpose. The identifying the nature of the relationship between linguistic and non-linguistic objects of the worlds of Human existence leads to the need to construct a third entity that determines their compatibility, and as a result, is the cause of the emergence of a new quality of reality. The objectives of the post-non-classical paradigm of science involves rethinking the spatial-temporal model of the world, the role of intersubjective communications and internal dialogue of the subject as conditions for the existence and evolution of a conscious form of life, as well as identifying the principles underlying these processes. The methodology of constructing a categorical apparatus that allows describing such conditions is based on the method of Ontosemiotic Modeling and Decomposition, which reflect the method of phenomenological reduction, ascent from the abstract to the concrete, as well as the logical-semiotic construction of the subject of research. This method avoids the paradoxical nature of categorical descriptions of non-linguistic entities.Results.The desired third entity can be presented in the context of the three categories of subjectivity proposed by the author: synchronism, intention and relativity.Conclusions. The category of describing the world: subjectivity, temporality, continuality, contingency, processality, emergence, dialogicity, contextuality and relations between them, within the framework of post-nonclassical rationality, reflect the need to adopt new principles, models and methodologies of communication and activity, identify information-semiotic laws and patterns of cognition management, as well as refinement and redefinition of the basic concepts of philosophy, such as "Subject", "Consciousness", "Cognition".

Forest Community Spatial Modeling Using Machine Learning and Remote Sensing Data

This study examines the application of unsupervised classification techniques in the mapping of forest vegetation, aiming to align vegetation cover with the Braun-Blanquet classification system through remote sensing. By leveraging Landsat 8 and 9 satellite imagery and advanced clustering algorithms, specifically the Weka X-Means, this research addresses the challenge of minimizing researcher subjectivity in vegetation mapping. The methodology incorporates a two-step clustering approach to accurately classify forest communities, utilizing a comprehensive set of vegetation indices to distinguish between different types of forest ecosystems. The validation of the classification model relied on a detailed analysis of over 17,000 relevés from the “Flora” database, ensuring a high degree of accuracy in matching satellite-derived vegetation classes with field observations. The study’s findings reveal the successful identification of 44 forest community types that was aggregated into seven classes of Braun-Blanquet classification system, demonstrating the efficacy of unsupervised classification in generating reliable vegetation maps. This work not only contributes to the advancement of remote sensing applications in ecological research, but also provides a valuable tool for natural resource management and conservation planning. The integration of unsupervised classification with the Braun-Blanquet system presents a novel approach to vegetation mapping, offering insights into ecological characteristics, and can be good starter point for sequestration potential of forest communities’ assessment in the Republic of Tatarstan.

Search Engine for Open Geospatial Consortium Web Services Improving Discoverability through Natural Language Processing-Based Processing and Ranking

The improvement of search engines for geospatial data on the World Wide Web has been a subject of research, particularly concerning the challenges in discovering and utilizing geospatial web services. Despite the establishment of standards by the Open Geospatial Consortium (OGC), the implementation of these services varies significantly among providers, leading to issues in dataset discoverability and usability. This paper presents a proof of concept for a search engine tailored to geospatial services in Switzerland. It addresses challenges such as scraping data from various OGC web service providers, enhancing metadata quality through Natural Language Processing, and optimizing search functionality and ranking methods. Semantic augmentation techniques are applied to enhance metadata completeness and quality, which are stored in a high-performance NoSQL database for efficient data retrieval. The results show improvements in dataset discoverability and search relevance, with NLP-extracted information contributing significantly to ranking accuracy. Overall, the GeoHarvester proof of concept demonstrates the feasibility of improving the discoverability and usability of geospatial web services through advanced search engine techniques.

Work Satisfaction and Related Variables among Nurses Employed in Particular Hospitals in Mogadishu, Somalia

Purpose: The objective of this research was to evaluate the degree of job satisfaction and related variables among nurses employed at specific hospitals in Mogadishu, Somalia.  Methods A cross-sectional, descriptive research approach was employed, and a sample of 120 nurses was included in the study. The intended sample was chosen using a straightforward random sampling procedure. Data were gathered using a pre-tested, structured, self- administered questionnaire including a work satisfaction measure. Descriptive statistics were used for analysis after the obtained data were loaded into SPSS version 20.0.  Results The study used 120 study participants in total. Of the nurse practitioners, 41 (34.2%) expressed dissatisfaction with their work. Among the research subjects; 45(37.5%) dissatisfied with payment (salary). Regarding the options for pursuing a postgraduate degree in nursing or additional education 40 (33.3%) were dissatisfied. More than half of participants 75 (62.5%) were decided to resign from current employment due to payment (salary) issues.  Conclusions The nursing staff expressed dissatisfaction with possibilities for professional growth, recognition, low pay, inadequate benefits, doing many incorrect jobs, and increased workload. It is recommended that actions be taken to improve working conditions, pay, and human resource policies in order to raise the degree of job satisfaction among nursing staff.

The influencing factors of changes in physical activity levels of pregnant women during pregnancy: From the perspective of continuous care.

A comprehensive understanding of physical activity levels (PAL) among Chinese pregnant women and an exploration, from a continuous care perspective, of various factors influencing these activity levels. Investigating the correlations between adverse habits, psychological factors, and PAL in prenatal health management. This study aims to provide substantial guidance for prenatal health management and personalized care, offering recommendations to healthcare professionals and policymakers to enhance the overall health and well-being of pregnant women. This study enrolled 1256 pregnant women as research subjects. Baseline information was collected through a personal information collection form. Subsequently, continuous care was provided during the early, middle, and late stages of pregnancy, documenting the respective influencing factors. Simultaneously, the International Physical Activity Questionnaire (IPAQ) was utilized to assess the PAL of pregnant women across different trimesters. Finally, using the SPSS software version 25.0, a combined approach of generalized linear mixed effects (GLME) models and multivariate logistic regression was used to statistically analyze the collected data, comprehensively exploring the influencing factors of PAL during pregnancy. The proportion of research subjects engaged in low-level physical activity decreased from 60.80% to 40.34% across various stages of pregnancy, while the proportion engaged in moderate-level physical activity ranged from 25.32% to 40.75%. Meanwhile, the proportion engaged in high-level physical activity accounted for 13.88% to 18.91%.There was P = .021 and β = -0.276 for smoking before pregnancy. The P-value of pregnant women who smoke in the second trimester was.035, the Odds Ratio (OR) value was 0.638, and the 95% confidence interval (CI) was (0.406, 0.972). The difference was statistically significant (all P < .05). In China, the physical activity level of pregnant women is generally low, which is related to factors such as smoking, alcohol consumption, sleep disorders, and depression during pregnancy. Medical personnel should improve the living habits of pregnant women and enhance their PAL through measures such as health education and psychological counseling.

Pengaruh strategi inovasi dan orientasi pasar terhadap keunggulan bersaing dan kinerja perusahaan (studi pada UKM OKE OCE Jakarta)

The DKI Jakarta Provincial Government program, OK OCE (One District, One Entrepreneurship Center), was pioneered by Anies Baswedan and Sandiaga Uno. The aim is to assist micro, small and medium enterprises (MSMEs) in cultivating an entrepreneurial spirit through the Cooperatives and MSMEs Sub-Department. The main objective of this program is to realize an economic mission that prioritizes society, justice, prosperity, quality and broad insight. This research aims to show and analyze three ways in which innovation strategy and market orientation influence the performance of OK OCE SME companies in Jakarta: through competitive advantage, directly and indirectly, through innovation strategy and market orientation. All SMEs partnering with OK OCE in Jakarta are research subjects. Data were analyzed using SEM-PLS. The total research sample was 100 small and medium business owners in OK OCE Jakarta, and the simple random sampling method was used for probability sampling. Based on the findings of this research, (1) Although innovation strategies SMEs in OK OCE Jakarta gain a competitive advantage, this does not directly improve their performance; (2) The increase in the performance of SMEs in OK OCE Jakarta is not a direct result of market orientation, but rather the result of competitive advantage. 3 The increase in the performance of SMEs in OK OCE Jakarta is significantly influenced by innovation strategy and market orientation.

Sociocultural Impacts of Peace Creative Tourism Village Development in Indonesia

Purpose: The objective of this study was to explore the social and cultural impacts of the development of the Srumbung Gunung Peace Creative Tourism Village, Indonesia.   Method:  The research method used is descriptive qualitative. The research was conducted at Srumbung Gunung Peace Creative Tourism Village, Semarang Regency. Informants as sources of data selected using purposive sampling method. The data analysis technique used in this study is interactive analysis.   Result and conclusion:  The study findings revealed that the Srumbung Gunung Peace Creative Tourism Village possesses both tangible and intangible qualities that attract tourists to visit. The development of tourism has positively impacted the social aspects by fostering a sense of unity and enhancing institutional capacity through initiatives like tourism awareness groups and widespread community involvement. Furthermore, it has positively influenced cultural aspects by preserving indigenous culture and facilitating information exchange between locals and tourists.   Research implications:  All stakeholders in the Srumbung Gunung Peace Creative Tourism Village must be mindful of potential adverse effects on social and cultural dimensions. We suggest exploring strategies to mitigate these negative impacts as a subject for future research.   Originality/value:  The Srumbung Gunung Peace Creative Tourism Village holds promise for advancing tourism growth. It introduces the notion of traveling as a means to understand and promote the significance of peace, thereby contributing to world peace initiatives.

Screen media-based devices usage patterns: Comparison between digital immigrant parents and digital native adolescents

Smartphones are frequently the subject of digital screen media-based research due to their popularity. Other screen devices, such as computers, conventional TV, laptops, smart TV, and tablets, which have a significant impact on children’s and adolescents’ psychological behaviors, are rarely covered. Parents are considered the active agents who can regulate adolescents screen-based media use and control online risks. Parents of adolescents in developing countries are digital immigrants, and their consumption patterns of screen devices must be studied before exploring their media usage regulatory strategies for children and adolescents. To gather information on screen device usage patterns, including availability, usage, ownership, and screen time, a quantitative technique approach was used in the study. A statistical analysis was performed on survey data collected from 447 parent-adolescent dyadic samples (n=894). Results show a positive association between socio-economic status and the number of screen devices present in households. Parents and adolescents spend the same amount of screen time on conventional TV and smart TV as they do on smartphones. Tablets were the least used, but they had more screen time than laptops and computers. Screen time is associated with the intended use of the device. Screen time spent per device by digital immigrant parents is quite like that of their digital-native adolescents. Girls use smartphones often; boys spend more screen time with them. Parents’ screen-based media usage practices should also be regulated, as they highly influence their children’s screen time.

Critical Thinking Profile of Junior High School Students in Solving Mathematical Problems Based on Gender

The critical thinking profile in solving mathematical problems is a picture expressed by describing words based on the FRISCO criteria in solving mathematical problems. This research aims to describe the critical thinking profile of male and female students in solving mathematical problems. The research subjects chosen were two class VIII students at SMP Negeri 21 Makassar, namely one male student and one female student. In this qualitative research, data collection uses two problem solving tasks and interviews. The validity of the data obtained was tested through time triangulation. Next, the data was analyzed based on FRISCO critical thinking criteria. Based on the results of data analysis and discussion of critical thinking profile theory, it can be concluded that the two subjects determine the main problem, decide on the strategy to be used in solving the problem, and provide logical reasons in the process of drawing conclusions, know the situation in the problem so that they use information that is appropriate to the problem, explain the terms in the problem well, and double-check the answers found. However, in checking again, the male subjects only checked the final results, while the female subjects checked the answers for each step found until the final results. Keywords: Critical Thinking, Gender, Problem Solving

Environmental health, economy, and amenities interactively drive migration patterns among China's older people

The increasing number of older adult migrants is rapidly changing regional demographic and social structures in China. There is an urgent need to understand the spatial patterns and factors that influence older adults to migrate, especially the role of environmental health. However, this issue has been under-studied. This study focused on intra-provincial and inter-provincial older adult migrants as research subjects, estimated their spatial concentration index based on the iterative proportional fitting approach, and explored the factors influencing their migration using the GeoDetector Model. The results showed the following: (1) In 2015, more than 76% of inter-provincial older adult migrants were distributed in Eastern China, and most intra-provincial older adult migrants were scattered in sub-provincial cities. (2) Compared to factors relating to economy and amenities, environmental health by itself played a relatively weak role in the migration of older adults, but the interaction among environmental health, economy, and amenities was a key driving force of older adult migration. (3) There were significant differences in the dominant environmental health factors between inter-provincial migration and intra-provincial migration, which were temperature and altitude, respectively. Our findings can help policymakers focus on the composition of older adult migrants based on urban environmental health characteristics and rationally optimize older adult care facilities to promote supply-demand matching.

Fault Diagnosis of Drone Motors Driven by Current Signal Data with Few Samples

Abstract Multirotor UAVs find extensive application across diverse domains, with their motors serving as pivotal components in the UAV power system. The majority of UAV failures and crashes stem from motor malfunctions, underscoring the critical need for research in UAV motor fault diag-nosis. This paper focuses on quadrotor UAVs employing DC brushless motors as the research subject. The study designs fault experiments for three key components—stator, rotor, and bear-ing—based on the structural and operational characteristics of these motors. Addressing chal-lenges such as limited installation space for UAV payloads and redundant components, difficul-ties in sensor installation, high costs, and data acquisition complexities, this research adopts the current signal as the diagnostic signal. It explores a UAV motor fault diagnostic method based on the current signal. Furthermore, the study investigates a motor fault diagnosis method based on the current signal. To overcome challenges arising from the UAV's heightened sensitivity to the health of its components and the limited availability of fault data training samples, traditional machine learning and deep learning methods face difficulties in identifying representative fea-tures under small samples, often succumbing to overfitting risks and resulting in low diagnostic accuracy. To address these issues, a hybrid neural network fault diagnosis model is proposed, integrating the width learning system and convolutional neural network. The width learning system maps the original current signal into a feature space, yielding more robust and repre-sentative sample features. Subsequently, the convolutional neural network undertakes feature extraction and classification tasks. In experiments focused on current signal data-driven small-sample fault diagnosis in UAV motors, the proposed model outperforms other models used for comparison.