Research Issues Research Articles

Feminist Paradigm in the Social Researches

The lack of scientific literature in Kurdish language on research paradigms in the social sciences creates complications for new researchers. This paper attempts to discuss some of the basic issues of social science research in order to provide a clear presentation for researchers in this field. The purpose of this paper is to provide a brief overview of the different research paradigms. especially the feminist paradigm. The paper reviews the literature on the feminist paradigm and explains its ontological, epistemological and methodological positions. It also defines and explores different research methods in detail. It emphasizes that we need to be mindful of issues related to women in our choice of research paradigm and to design our research with a clear connection between the nature of the paradigm and the theoretical framework of research. The decision to choose a philosophical perspective for the study of a phenomenon or topic related to women's issues is important to be guided by the demands and needs of a study. It is important that researchers adopt an appropriate approach to the choice of research methods or combination of methods, but the choice of any research method should not be interpreted as indicative of an ontological or epistemological position, in the sense that the choice of research paradigm takes precedence.

Formation and Detection of Gizzerosine in Animal Feed Matrices: Progress and Perspectives.

Gizzerosine is responsible for gizzard erosion and black vomit, owing to excessive gastric acid secretion in poultry. It is a biogenic amine that forms during feed processing. Gizzerosine, a derivative of histamine, is a serious threat to animal feed safety and poultry production because it is more potent after ingestion and more harmful to poultry than histamine. The difficulty of obtaining gizzerosine and the lack of simple, rapid, and sensitive in vitro detection techniques have hindered studies on the effects of gizzerosine on gizzard health and poultry production. In this review, we evaluated the natural formation and the chemical synthesis methods of gizzerosine and introduced seven detection methods and their principles for analyzing gizzerosine. This review summarizes the issues of gizzerosine research and suggests methods for the future development of gizzerosine detection methods.

Phenotypic Models of Drug-Drug-Gene Interactions Mediated by Cytochrome Drug-Metabolizing Enzymes.

Genetic polymorphisms in drug metabolizing enzymes and drug-drug interactions are major sources of inadequate drug exposure and ensuing adverse effects or insufficient responses. The current challenge in assessing drug-drug gene interactions (DDGIs) for the development of precise dose adjustment recommendation systems is to take into account both simultaneously. Here, we analyze the static models of DDGI from in vivo data and focus on the concept of phenoconversion to model inhibition and genetic polymorphisms jointly. These models are applicable to datasets where pharmacokinetic information is missing and are being used in clinical support systems and consensus dose adjustment guidelines. We show that all such models can be handled by the same formal framework, and that models that differ at first sight are all versions of the same linear phenoconversion model. This model includes the linear pharmacogenetic and inhibition models as special cases. We highlight present challenges in this endeavor and the open issues for future research in developing DDGI models for recommendation systems.

Current issues in phytomedicine research - Conundrum on the chemistry of ashwagandha and its biological effects

Current issues in phytomedicine research - Conundrum on the chemistry of ashwagandha and its biological effects

Analysis of sustainable water resource management and driving mechanism in arid region: a case study of Xinjiang, China, from 2005 to 2020.

The long-term dynamic comprehensive evaluation of the water resource carrying capacity (WRCC) and the analysis of its potential driving mechanism in arid areas are contemporary research issues and technical means of mitigating and coordinating the conflict between severe resource shortages and human needs. The purpose of this study was to explore the distribution of the WRCC and the spatiotemporal heterogeneity of drivers in arid areas based on an improved two-dimensional spatiotemporal dynamic evaluation model. The results show that (1) the spatial distribution of the WRCC in Xinjiang, China, is high in the north, low in the south, high in the west, and low in the east. (2) From 2005 to 2020, the centers of gravity of the WRCC in northern and southern Xinjiang moved to the southeast and west, respectively, and the spatial distribution exhibited slight diffusion. (3) The factors influencing the WRCC exhibit more obvious spatial and temporal heterogeneity. The domestic waste disposal rate and ecological water use rate were the main factors influencing the WRCC in the early stage, while the GDP per capita gradually played a dominant role in the later stage. (4) In the next 30 years, the WRCC in Xinjiang will increase. The results provide a theoretical reference for the sustainable development of water resources in arid areas.

Diagnostic and prognostic value of biomarkers in atopic dermatitis for assessing its endotypes, phenotypes, and treatment efficacy

Atopic dermatitis is a highly heterogeneous disease that usually requires a tailored approach to therapy. Recent studies have described a variety of biomarkers linked to diverse pathophysiological aspects of atopic dermatitis. Furthermore, they have provided encouraging evidence supporting high clinical importance of these biomarkers as promising tools for personalized diagnosis, assessment of disease severity, and monitoring of treatment efficacy. This review aims to provide a comprehensive summary of research progress on atopic dermatitis biomarkers, their diagnostic and prognostic value, as well as the benefits they might potentially offer not only for determining the disease endotype, but also for developing novel management strategies. The implementation of easily accessible and simple methods to measure atopic dermatitis biomarkers into clinical practice is an ambitious task for allergologists and dermatologists. A detailed overview of currently available data will allow us to identify the most important trajectories for future research in this area that will promote the concept of personalized atopic dermatitis therapy, reduce the disease burden, and improve the quality of life of patients.

A two‐stage reliable computational scheme for stochastic unsteady mixed convection flow of Casson nanofluid

AbstractResearchers can incorporate uncertainties in computational fluid dynamics (CFD) that go beyond the inaccuracies caused by numerical discretization thanks to stochastic simulations. This study confirms the validity of current stochastic modeling tools by providing examples of stochastic simulations in conjunction with numerical solutions for incompressible flows. A numerical technique for solving deterministic and stochastic models is developed in this work. Our approach employs the Euler‐Maruyama method for stochastic modeling, representing a stochastic version of the third‐order explicit‐implicit scheme. For the deterministic model, the scheme is third‐order accurate. The consistency and stability of the constructed scheme are provided in the mean square sense. The scheme is the predictor–corrector type that is built on two time levels. Moreover, a mathematical model of the Casson nanofluid flow with variable thermal conductivity is given with the effect of the chemical reaction. The appropriate transformations are used to condense the set of partial differential equations (PDEs) down to one that is dimensionless. The scheme is applied for the deterministic and stochastic models of dimensionless flow problems. The velocity profile's deterministic and stochastic behavior are shown using contour plots. Results show that growing values of the thermal mixed convection parameter enhance the velocity profile. This article presents the progress made in stochastic computational fluid dynamics (SCFD) and highlights the energy‐related aspects of our discoveries. Our computational approach and stochastic modeling techniques provide new insights into the energy properties of Casson nanofluid flow, specifically regarding the variability of thermal conductivity and chemical processes. Our objective is to clarify the complex interaction of these factors on energy dynamics. This article presents a contemporary summary of the latest SCFD advancements. Additionally, it highlights potential directions for future research and unresolved issues that require attention from the members of the field of computational mathematics.

Effects of TikTok Influencers on the Purchase Intention of Gen-Z: Cosmetic Industry

This study investigates how TikTok influencers affect Generation Z's purchase intention toward the cosmetic industry in HCMC. The research issue is a lack of knowledge on how TikTok influencers affect Generation Z's buying intentions for cosmetics. The research objective is to investigate the relationships among influencers' credibility, physical attractiveness, expertise, social advocacy, customers' trust, gender, and purchase intention. The literature study emphasizes the significance of customer trust and influencer characteristics in influencing consumer intention. A questionnaire survey is used as a data gathering technique in this research employing a quantitative methodology. To analyze the data, SPSS will be used as the statistical program. Descriptive statistics will be computed to summarize the data. Multiple regression analysis will examine the relationship between influencers' characteristics and customer trust toward their purchase intention. According to the findings, all influencers' characteristics, including credibility, physical attractiveness, expertise, and social advocacy, have favorable effects on Gen Z's purchasing intention. Surprisingly, customer trust has the most influence on Gen Z behavior. It indicates that there is a difference in purchase intention for different genders. The outcomes will offer valuable insights to cosmetic industry marketers at HCMC to develop effective influencer marketing strategies for Generation Z consumers.

A review of interaction mechanisms and microscopic simulation methods for CO2-water-rock system

This work systematically reviews the complex mechanisms of CO2-water-rock interactions, microscopic simulations of reactive transport (dissolution, precipitation and precipitate migration) in porous media, and microscopic simulations of CO2-water-rock system. The work points out the key issues in current research and provides suggestions for future research. After injection of CO2 into underground reservoirs, not only conventional pressure-driven flow and mass transfer processes occur, but also special physicochemical phenomena like dissolution, precipitation, and precipitate migration. The coupling of these processes causes complex changes in permeability and porosity parameters of the porous media. Pore-scale microscopic flow simulations can provide detailed information within the three-dimensional pore and throat space and explicitly observe changes in the fluid-solid interfaces of porous media during reactions. At present, the research has limitations in the decoupling of complex mechanisms, characterization of differential multi-mineral reactions, precipitation generation mechanisms and characterization (crystal nucleation and mineral detachment), simulation methods for precipitation-fluid interaction, and coupling mechanisms of multiple physicochemical processes. In future studies, it is essential to innovate experimental methods to decouple “dissolution–precipitation–precipitate migration” processes, improve the accuracy of experimental testing of minerals geochemical reaction-related parameters, build reliable characterization of various precipitation types, establish precipitation-fluid interaction simulation methods, coordinate the boundary conditions of different physicochemical processes, and, finally, achieve coupled flow simulation of “dissolution−precipitation−precipitate migration” within CO2-water-rock systems.

Succession Planning and Executive Compensation Strategies: Case Study on Multi-business Corporate Firms in India

In the age of Post COVID Resilience and Digitization, strategic issues in leadership research have gained prominence. Succession planning is one of such topics of strategic Human Resource Management (SHRM) which is considered by corporate boards as a major concern as it provides a way for business continuity. It is quite an important aspect for most of the start-up enterprises of modern times as they have to ensure its business continuity through the availability of strong leadership bench strength. Having a good successor on key management positions will ensure a family legacy for upcoming generations.Past literature offers insight that corporate firms including family and standalone groups have observed many challenges in terms of loss of leadership on key management positions due to the lack of a proper succession plan in place. In this study, it has attempted to explore various insights related to succession planning and its linkages to executive compensation in corporate firms having diversified business portfolios. Findings provide a fresh perspective on succession planning and executive compensation which is equally important for practitioners and new-age start-ups.

Open up and let us in: An introduction to the special issue on emerging issues in correctional policy, research, and practice.

Open up and let us in: An introduction to the special issue on emerging issues in correctional policy, research, and practice.

Modelling the connection between teaching, research and learning

ABSTRACT This study presents the Terele-model (TEaching, REsearch, LEarning) – an easy-to-use model that distinguishes different levels of connection between teaching, research and learning. To do this the study uses Johari windows to show clearly and intuitively the five different levels of action and interaction between the teacher and the student. At the first level, the teacher passes on facts, and at the fifth level, the teacher and the student conduct research together. To avoid confusion and conceptual issues of the earlier research, I widen the scope of my literature review and trace the idea of the connection between research and teaching back to Antiquity, during which it is known to have originated. According to this view – which is still alive in some contemporary studies – the connection between research and teaching is mediated through learning. Understanding leaning and research in terms of their similarity opens up a way of seeing the clear parallelism between research and teaching. The aim of using the Terele-model is not so much to enhance the connection between teaching and research as to give the teacher a tool for designing the right kinds of connections to research depending on the learning goals.

Mapping the intellectual structure and evolution of information technology and auditing: a bibliometric review

Purpose- The goal of this study is to conduct a bibliometric analysis of papers relevant to information technology (IT) and auditing that were published in the Web of Science Core Collection database between 1978 and 2022. Methodology- This study does a bibliometric analysis of 2991 audit and information technology publications from a pool of 7738. It works in two steps: descriptive performance metrics and co-word analysis. The descriptive metrics include publishing patterns, productive nations and authors, effect on certain areas and journals, number of citations by country, and publications with the highest citations. The co-occurrence analysis maps the ties between concepts by utilizing social network analysis methods to investigate the field's interconnections. Findings- This study identifies six major trends in IT and auditing: increased technology use in internal auditing, the demand for information security expertise, transparency in the digital age, technology for ethical auditing, cloud-based auditing with blockchain, and post-COVID IT continuous auditing standards. These trends highlight the need for auditors to adapt to evolving technology and ethical considerations, prioritizing data security and privacy. Additionally, the survey reveals key authors, publications, and countries in this field, offering valuable insights for industry leaders and potential research collaborations. Conclusion- This study provides a complete overview of the topic of IT and auditing by integrating several methodological techniques. This study provides direction for future research in addition to offering significant insight into the main research trends, issues, and problems in this subject. Keywords: Information technology, auditing, co-occurrence analysis, bibliometric analysis. JEL Codes: M41, M42

Constituents, pharmacological activities, pharmacokinetic studies, clinical applications, and safety profile on the classical prescription Kaixinsan.

Kaixinsan (KXS) is a noteworthy classical prescription, which consists of four Chinese medicinal herbs, namely Polygalae Radix, Ginseng Radix et Rhizoma, Poria, and Acori Tatarinowii Rhizoma. KXS was initially documented in the Chinese ancient book Beiji Qianjin Yaofang written by Sun Simiao of the Tang Dynasty in 652 A.D. As a traditional Chinese medicine (TCM) prescription, it functions to nourish the heart and replenish Qi, calm the heart tranquilize the mind, and excrete dampness. Originally used to treat amnesia, it is now also effective in memory decline and applied to depression. Although there remains an abundance of literature investigating KXS from multiple aspects, few reviews summarize the features and research, which impedes better exploration and exploitation of KXS. This article intends to comprehensively analyze and summarize up-to-date information concerning the chemical constituents, pharmacology, pharmacokinetics, clinical applications, and safety of KXS based on the scientific literature, as well as to examine possible scientific gaps in current research and tackle issues in the next step. The chemical constituents of KXS primarily consist of saponins, xanthones, oligosaccharide esters, triterpenoids, volatile oils, and flavonoids. Of these, saponins are the predominant active ingredients, and increasing evidence has indicated that they exert therapeutic properties against mental disease. Pharmacokinetic research has illustrated that the crucial exposed substances in rat plasma after KXS administration are ginsenoside Re (GRe), ginsenoside Rb1 (GRb1), and polygalaxanthone III (POL). This article provides additional descriptions of the safety. In this review, current issues are highlighted to guide further comprehensive research of KXS and other classical prescriptions.

Theoretical approach for the equilibrium scour depth underneath a partially submerged bridge deck

The destructive implication of pressure-flow scour during flood events is a critical issue for researchers throughout the world. The current paper presents two models to estimate the pressure-flow scour depth underneath a partially submerged bridge deck in the equilibrium phase based on the jet flow theory. An estimate of the submergence distance of the jet flow under the bridge deck is the base point of the first model. The second model uses the phenomenological theory of turbulence where the tangential component of jet velocity is scaled to the velocity of the eddy formed under the bridge deck. This theory has already been used by researchers to estimate the scour depth of the jet flow. Dimensionless parameters are constructed in the theoretical framework of both models. The angle and velocity of the combined jet under the bridge deck and the effective depth underneath the bridge deck have been obtained using the relations presented in the previous research. The application of the presented models is limited to cases where the relative opening height of the bridge deck is greater than 0.25. The derived equations of the current study are calibrated based on the data with sufficient time durations. The results show that both models predict fairly well the maximum pressure-flow scour depth. The values of Nash–Sutcliffe efficiency and relative root mean square errors of the second model predictions are more appropriate, compared to the estimates of the first model and estimates obtained by equations presented in the previous studies.

Digital Twin Approach in Buildings: Future Challenges via a Critical Literature Review

In 2011, the term Digital Twin was originally introduced by Michael Grieves to define the synchronization between two realities: physical objects placed in a real space and virtual objects within in virtual space, linked through the mutual exchange of data throughout the entire lifecycle, both in real-time and asynchronously. Nowadays, Digital Twin is among the principal and emerging technological innovations of both Industry 4.0 and the emerging Industry 5.0, enabling an interaction between physical and virtual objects, Big Data, Internet of Things, and Artificial Intelligence. The construction sector, too, is now exploring the potentialities offered by the Digital Twin approach in enhancing innovative, responsible, and sustainable governance of buildings’ lifecycles. Concerning these issues, this paper proposes visualizing future challenges with a specific focus on the operation and maintenance phase and its related impact on decarbonization via a critical literature review of the current statements. The applied methodology is based on three different questions related to certain research issues performed in the Scopus database. The selected findings were filtered, classified, and discussed. Some future challenges on specific issues have been identified, defining and promoting novel research ideas.

Research trend on dyscalculia by bibliometric analysis during 2017-2022

<span lang="EN-US">Dyscalculia is the inability to perform simple numerical calculations in everyday life. However, no one has researched this topic worldwide in about two years. This study aimed to investigate the research trends on dyscalculia through bibliometric studies and research issues related to dyscalculia in the Scopus database starting 2017 to October 2022. The sample consisted of 536 total documents. The results showed that scientific publications on dyscalculia fluctuated. In the next five years, its movements cannot be predicted. The highest number of document types is articles, which is 369. The number of cross-border documents from 2017 to 2022 is in the United States, as many as 75 papers, and in Italy, 74 copies. These two countries are more dominant on the topic of dyscalculia. Furthermore, 536 documents comprising 94.4% of articles were used in English. In general, in research on dyscalculia, researchers produce four out of five significant clusters: patient, approach, task, and grade. However, topics related to dyscalculia and mathematics often studied are deficit students, deficit addition and subtraction, mathematics difficulty, instruction, and primary school. The results can be used to shed light on developing tendencies in dyscalculia investigations and suggest directions for future studies.</span>

Green Economy: Sistematic Literatur Review

This research aims to reveal how research topics and issues regarding the Green Economy are developing. The research method used was Systematic Literature Review (SLR) with VOS Viewer Data Analysis Software. The articles reviewed were 429 articles sourced from the Scopus database. The research results show that the development of research topics and issues regarding the Green Economy reflects a positive evolution in understanding of environmental and sustainability challenges in the context of the global economy. Involving researchers from various countries, this research focuses on topic clusters that develop along with socio-economic needs and dynamics. Wang J., as the main contributor with the largest number of articles, discusses major issues such as environmental pollution, carbon emissions, and environmentally friendly tourism.

Do hematological biomarkers predict surgical necrotizing enterocolitis?

Necrotizing enterocolitis (NEC) is a devastating gastrointestinal emergency in preterm infants and the clinical presentation of NEC may vary with gestational age. We lack reliable biomarkers for early diagnosis of NEC limiting timely intervention. Hematological changes in NEC are actively researched for their potential role as biomarkers. The pattern and severity of hematological abnormalities have been correlated with rapid progression, the need for surgery, increased risk of mortality, and morbidity. In this issue of Pediatric Research, Chong et al. report GA-specific hematological biomarkers in preterm infants with NEC that could predict the need for surgery. Thrombocytopenia at NEC onset was an independent predictor of surgical intervention in extremely preterm infants. Persistent thrombocytopenia and lymphopenia at 72 h and elevated C-reactive protein at 48 h after NEC onset, predicted surgery in infants of 28 to <32 weeks GA. Persistent thrombocytopenia at 24 h after the onset of NEC was predictive of mortality in infants who underwent surgery. Well-designed, prospective, multi-center studies are needed to confirm the role of hematological biomarkers in early diagnosis and prognostication in NEC.

Birth defects surveillance: Working together to advance science

AbstractSince 2000, the National Birth Defects Prevention Network (NBDPN), in collaboration with the US National Center on Birth Defects and Developmental Disabilities at the Centers for Disease Control and Prevention, has provided a special issue of Birth Defects Research focused on advancing the field of birth defects surveillance, epidemiology, and public health practice. The annual NBDPN special issue consists of contributed manuscripts using birth defects surveillance data for epidemiologic research or for improving birth defects surveillance methods. This year, our special issue includes updated national prevalence estimates for selected major birth defects, seven original research papers, and an invited editorial. Several of the accepted manuscripts highlight collaborative efforts between birth defects surveillance systems across the country: through the NBDPN, the National Birth Defects Prevention Study, and the Muscular Dystrophy Surveillance, Tracking, and Research Network. These studies offer examples of the power of pooling data and leveraging resources to conduct high‐quality birth defects research.