Regulatory Variables Research Articles

Global analysis of spatio-temporal variation in mineral nutritional quality of pepper (Capsicum spp.) fruit and its regulatory variables: A meta-analysis

Pepper (Capsicum spp.) is an important fruit vegetable worldwide, and it is a rich dietary source of minerals for human being. Yet, the spatio-temporal distribution of pepper fruit mineral composition and the factors influencing such variations at global scale remain unknown. A global meta-analysis of 140 publications providing 649, 562, 690, 811 datapoints was conducted to quantify and evaluate the nutritional quality, comprising potassium (K), magnesium (Mg), iron (Fe) and zinc (Zn), of pepper fruits and its influencing variables. The analysis showed that the global average of K, Mg, Fe and Zn content in pepper fruits was 20–25 g kg−1, 1–1.5 g kg−1, 80–100 mg kg−1, and 20–40 mg kg−1, respectively. There had been a downward trend in pepper fruit nutritional quality over the last decade, especially for Fe and Zn. And, the concentration of all these four nutrients were at lower levels in less developed regions, especially in Africa. Our results showed that the vegetable “green pepper” contains more K, Mg, Fe and Zn than the “hot pepper” used as spice. The concentration of K, Mg, Fe and Zn were increased with fruit yield but that of Fe and Zn were decreased with increase in single fruit weight. Nutritional quality was optimal at mean annual temperature of 10 ℃ − 20 ℃, and was adversely affected when mean annual precipitation was < 500 mm. Pepper fruits produced at pH 6.5–7.5 had higher fruit K concentration while acidic soils (pH<6.5) favored higher Fe and Zn concentrations. The higher soil organic matter (SOM) generally improved the nutritional quality of the pepper. Our results suggest that systematic selection of superior varieties and soil amelioration (adjusting pH and SOM) of the soil-crop system are needed to achieve higher nutritional quality of pepper fruit.

A New Tissue Engineering Strategy to Promote Tendon-bone Healing: Regulation of Osteogenic and Chondrogenic Differentiation of Tendon-derived Stem Cells.

In the field of sports medicine, repair surgery for anterior cruciate ligament (ACL) and rotator cuff (RC) injuries are remarkably common. Despite the availability of relatively effective treatment modalities, outcomes often fall short of expectations. This comprehensive review aims to thoroughly examine current strategies employed to promote tendon-bone healing and analyze pertinent preclinical and clinical research. Amidst ongoing investigations, tendon-derived stem cells (TDSCs), which have comparatively limited prior exploration, have garnered increasing attention in the context of tendon-bone healing, emerging as a promising cell type for regenerative therapies. This review article delves into the potential of combining TDSCs with tissue engineering methods, with ACL reconstruction as the main focus. It comprehensively reviews relevant research on ACL and RC healing to address the issues of graft healing and bone tunnel integration. To optimize tendon-bone healing outcomes, our emphasis lies in not only reconstructing the original microstructure of the tendon-bone interface but also achieving proper bone tunnel integration, encompassing both cartilage and bone formation. In this endeavor, we thoroughly analyze the transcriptional and molecular regulatory variables governing TDSCs differentiation, incorporating a retrospective analysis utilizing single-cell sequencing, with the aim of unearthing relevant signaling pathways and processes. By presenting a novel strategy rooted in TDSCs-driven osteogenic and chondrogenic differentiation for tendon-bone healing, this study paves the way for potential future research avenues and promising therapeutic applications. It is anticipated that the findings herein will contribute to advancing the field of tendon-bone healing and foster the exploration of TDSCs as a viable option for regenerative therapies in the future.

Climate and salinity together control above ground carbon accumulation in the Sundarbans mangrove ecosystem

Mangroves play a crucial role in mitigating climate change through carbon (C) accumulation. Developing robust methods for the estimation of long-term C accumulation is essential for monitoring and reporting carbon financing projects under different global mechanisms. Moreover, understanding the effects of climate and habitat on C accumulation is important for developing mangrove management plans and conservation options. In this study, long-term above ground C accumulation in the three most dominated mangrove tree species, Heritiera fomes, Excoecaria agallocha and Sonneratia apetala, was estimated using a dendrochronological approach in two contrasting (low vs high) salinity zones in the Bangladesh Sundarbans. In addition, how climate and habitat (e.g., regulators and soil resources) influence C accumulation was analyzed. For the first time, we estimated C accumulation in mangrove species over their entire lifetime using stem disc-derived tree-ring data. The C accumulation patterns exhibited similar patterns of variation, increasing from pith to bark in each case. C accumulation was significantly higher in the low salinity zone (LSZ) than in the high salinity zone (HSZ) (p < 0.05). The cumulative C accumulation increased with tree age in each case, and C accumulation was influenced mainly by seasonal precipitation, especially during monsoon. General additive modeling (GAM) revealed that soil salinity had a stronger effect on C accumulation variability in the studied tree species. Other regulatory variables (i.e., siltation and elevation) and soil resources (i.e., P and K) had species-specific influences on C accumulation. Tree-ring data show the potential to yield better biomass and C estimations, which could aid frequent and rapid reporting of C accumulation in mangroves. Moreover, the results also suggest that climate and regulatory variables, especially soil salinity, together impact the C cycles in the Sundarbans.

INFLUENCE OF ADMINISTRATION, SUPERVISION AND CONTROL LOCAL PROPERTY AGAINST SECURITY REGIONAL PROPERTY OF PALEMBANG CITY

This study aims to analyze the effect of administration, supervision and control of regional property on the security of regional property. The subjects in this study were managers of Palembang city property totaling 62 people. The research was conducted in 29 regional apparatus organizations in Palembang City in April-July 2021. Data analysis using multiple linear regression. The results of the multiple linear regression equation obtained the results Y=51.340+0.361X1-0.912X2+0.298X3, showing that if the administrative and regulatory variables are improved, it will have a positive effect on the success of securing regional property, but on the contrary, if the supervisory variable is increased, it will negatively affect the success of securing regional property. Respondents came from 29 regional apparatus organizations consisting of agencies and agencies under the Palembang City Government and by adding variables for regulating regional property.

The Microbiome-Gut-Brain Axis, Nutrition and Parkinson’s Disease

Parkinson’s disease (PD) is a chronic progressive neurodegenerative disorder characterised by both motor and non-motor symptoms. While most PD medications currently available can improve motor symptoms, there is currently no treatment available to halt or slow down the progression of the disease. Recently, there has been increasing focus on environmental factors in the pathophysiology of PD and their possible neuroprotective effects. According to Braak’s hypothesis, an unknown pathogen in the gastrointestinal tract may initiate the production of pathogenic α synuclein, which would subsequently spread to the central nervous system. The microbiome-gut-brain axis may be implicated in this process, whereas nutrition can be one of the modifiable regulatory variables. A variety of foods and nutrients have been suggested as either risk or protective factors based on biological theories. Although epidemiological and experimental studies in animal models have shown their neuroprotective properties, their effectiveness was not confirmed in clinical trials. However, daily food intake comprises many nutrients that can interact and produce either a synergistic or antagonistic effect on the human body. Therefore, dietary patterns that include a certain set of nutrients have recently gained increased interest as potential modifiers of disease progression and alleviators of symptoms. This article reviews the current literature on the role of different nutritional factors and diets in the pathogenesis of PD and their possible neuroprotective and symptomatic effects.

STATISTICAL MODELING OF TOURISM INVESTMENT DECISIONS IN INDONESIA USING SEMIPARAMETRIC APPROACH

The tourism potential in Indonesia is very large considering that Indonesia consists of tens of thousands of separate islands. Indonesia has many diverse landscapes, with all its nature wealth and biodiversity in it is an attraction for investors who want to invest in Indonesia. The existence of relationships between variables that are linear and nonlinear, where no nonlinear pattern is known, requires a semiparametric approach. This study aims to apply a semiparametric approach to model people's investment decisions in tourism in Indonesia. The data used is in the form of respondents from investors who invest in tourism in Indonesia from the 2022 National Competitive Basic Research (PDKN) as many as 100 respondents. This study uses the semiparametric path analysis method to model tourism investment decisions in Indonesia. The results show that regulatory variables and investment interest variables have a significant and positive effect on investment decision variables. A diversity coefficient of 60.2% indicates that data diversity can be explained by 60.2% with models, while other variables outside the study explain the remaining 38.8%. In other words, the regulatory variable (X) and the investment interest variable (Y1) can influence the investment decision variable (Y2) by 60.2%.

Digital economy, binary factor mismatch and sustainable economic development of coastal areas in China

In order to promote the sustainable economic development, it is critical employ the digital economy to solve the mismatch dilemma of land and marine factors in coastal areas. It analyzed the influencing mechanisms between the digital economy, land and labor factor mismatch and coastal economic sustainable development using network development and new economic growth theories. The intermediary and regulating effect models were used for empirical tests using panel data from 11 Chinese coastal provinces (city or district) between 2009 and 2018. Results found that: (1) Digital economy promoted the sustainable development of land and marine binary economies in coastal areas; (2) Digital economy improved the factor mismatch of land and marine binary economies, which further affected the sustainable economic development; (3) Market integration is conducive to alleviating land and marine factor mismatch and strengthening the optimization effect of the digital economy on the factor mismatch. This research provides a new perspective for clarifying the mechanism of the digital economy on sustainable economic development, as well as a reference for the realization of rational allocation of factor resources and sustainable economic development by taking factor mismatch of land and marine binary economies and market integration as the intermediary variables and regulatory variables.

Peer relationships, adolescent anxiety, and life satisfaction: a moderated mediation model in Turkish and syrian samples

Prior studies comparing Syrian refugee adolescents to their native peers in the same region have found higher anxiety and lower life satisfaction. Therefore, identifying regulatory variables is crucial for implementing support programs. This study examined the mediating effect of peer relationships and the moderating effect of being a refugee or native adolescent on the relationship between adolescent anxiety and life satisfaction across different samples. Participants and setting: The study included 2,336 adolescents aged 11–19 (M = 14.79, SD = 1.04). Participants completed the Screen for Child Anxiety Related Disorders, Satisfaction with Life Scale, and Strengths and Difficulties Questionnaire. The mediation and moderation effects were analyzed with the path analysis codes written on Mplus 8.3. SPSS 26 was used for descriptive statistics and group comparisons. The findings showed that peer relationships mediate adolescent anxiety and life satisfaction, and this relationship is moderated according to whether the participants are native adolescents or refugee adolescents. This study highlights the significant associations between peer relationships, adolescent anxiety, and life satisfaction and the moderating role of the participant identity. The findings may inform psychological interventions to improve Syrian refugee adolescents' mental health and well-being. These findings may also have implications for policies and programs aimed at supporting the integration of Syrian refugee adolescents in host communities.

Meta-analysis of SnRK2 gene overexpression in response to drought and salt stress.

SNF1-RELATED KINASE 2 (SnRK2) plays a crucial role in plants' stress response. Although studies have reported that the overexpression of several SnRK2 family members in different plants leads to improved stress tolerance, it is difficult to elucidate the mechanisms by which SnRK2s regulate stress tolerance due to the variability of experimental variables in these studies. Therefore, we used meta-analysis to comprehensively analyze 22 parameters that can reflect drought tolerance and salinity tolerance in SnRK2s-transformed plants and to explore the effects that different experimental variables between studies have on the relevant plant parameters. The results showed that the overexpression of SnRK2s mainly improved plants' drought and salinity tolerance by reducing their osmotic stress and oxidative damage, improving photosynthesis and other biochemical and physiological processes. Out of the 22 physiological parameters, 17 and 19 were significantly affected by drought and salt stress, respectively, and 10 indicators were also significantly changed under non-stress conditions. Under salt stress, the cell membrane permeability among these parameters shows the most significant changes, increasing by 506.57% in SnRK2-overexpressing plants compared to wild type (WT). Therefore, although plants overexpressing SnRK2s respond positively to both drought and salt stress, they demonstrated greater tolerance to salt stress. In addition, among the detected regulatory variables, donor-acceptor type, promoter type, stress type, experimental medium, and duration all affected the extent of SnRK2s overexpression and affected the physiological characteristics of the transgenic plants. Also, different stress conditions (salt, drought stress) led to different degrees of transformation. These studies provide new research directions for studying crop stress tolerance and help to better explore the functions played by SnRK2s in external plant stresses.

High-strength titanium alloy with hierarchical-microstructure design via in-situ refinement-splitting strategy in additive manufacturing

Microstructure design of high-strength materials based on single-principal-microstructure advantage can hardly meet the increasingly strict service requirements of modern aviation and aerospace industries. Compared with conventional forming methods, additive manufacturing (AM) technology introduces more regulatory variables, making it possible to gain multiple microstructure advantages simultaneously for critical components. This study introduces a universal process strategy in laser-powder bed fusion (L-PBF) to achieve hierarchical-microstructure optimization for titanium alloys. Specifically, a higher energy density can refine (R) martensite lath, and an appropriate scanning strategy can split (S) both coarse prior-β grains and α’-colony. For L-PBF-fabricated Ti-6Al-4 V (Ti64) alloy, the proposed refinement-splitting (R & S) optimization strategy improved yield strength (up to ∼1.3 gigapascals) by 30% and the total elongation increase by about 1.9 times compared to the alloy samples with a conventional rich α’-colony microstructure. The split prior-β grains also help with the complex service environment by reducing the anisotropy-induced deterioration of mechanical properties. The R&S approach is, in principle, applicable also to other titanium alloys beyond Ti64.

Impact of Regulatory Influence on Financial Performance of National Microfinance Banks in Nigeria

While existing literature has acknowledged the pivotal role of regulatory measures in shaping the operational landscape of financial institutions, there remains a notable gap in understanding the direct consequences of such regulations on the financial performance of NMBs in Nigeria. This study explores the impact of regulatory measures, specifically sanctions, penalties, and Minimum Capital Requirement (MCR), imposed by the Central Bank of Nigeria (CBN) on the financial performance of NMBs. This research adopts an ex-post facto research design, using data from the past six years of seven operational NMBs. The Agency Theory and Pecking Order Theory provide theoretical frameworks to interpret these relationships. The study reveals that regulatory measures significantly influence the allocation of micro loans within NMBs, reflecting the alignment of managers’ interests with those of stakeholders. However, regulatory factors alone do not adequately explain variations in ROA, indicating the presence of complex and unexamined factors affecting financial performance. Individual regulatory variables, such as sanctions, penalties, and MCR, also do not have a significant multivariate impact on RMLT or ROA. The study recommends that Nigerian National Microfinance Banks (NMBs) should closely monitor and adapt to Central Bank regulations, particularly regarding sanctions, penalties, and Minimum Capital Requirement, despite the absence of a direct multivariate link to financial performance indicators; it also advises diversifying strategies to enhance Returns on Assets (ROA) and suggests further research for a deeper understanding of NMB sustainability dynamics.

Crypto goes East: analyzing Bitcoin, technological and regulatory contagions in Asia–Pacific financial markets using asset pricing

PurposeThis study provides a comprehensive analysis of the potential contagion of Bitcoin on financial markets and sheds light on the complex interplay between technological advancements, accounting regulatory and financial market stability.Design/methodology/approachThe study employs a multi-faceted approach to analyze the impact of BTC systemic risk, technological factors and regulatory variables on Asia–Pacific financial markets. Initially, a single-index model is used to estimate the systematic risk of BTC to financial markets. The study then uses ordinary least squares (OLS) to assess the potential impact of systemic risk, technological factors and regulatory variables on financial markets. To further control for time-varying factors common to all countries, a fixed effect (FE) panel data analysis is implemented. Additionally, a multinomial logistic regression model is utilized to evaluate the presence of contagion.FindingsResults indicate that Bitcoin's systemic risk to the Asia–Pacific financial markets is relatively weak. Furthermore, technological advancements and international accounting standard adoption appear to indirectly stabilize these markets. The degree of contagion is also found to be stronger in foreign currencies (FX) than in stock index (INDEX) markets.Research limitations/implicationsThis study has several limitations that should be considered when interpreting the study findings. First, the definition of financial contagion is not universally accepted, and the study results are based on the specific definition and methodology. Second, the matching of daily financial market and BTC data with annual technological and regulatory variable data may have limited the strength of the study findings. However, the authors’ use of both parametric and nonparametric methods provides insights that may inspire further research into cryptocurrency markets and financial contagions.Practical implicationsBased on the authors analysis, they suggest that financial market regulators prioritize the development and adoption of new technologies and international accounting standard practices, rather than focusing solely on the potential risks associated with cryptocurrencies. While a cryptocurrency crash could harm individual investors, it is unlikely to pose a significant threat to the overall financial system.Originality/valueTo the best of the authors knowledge, they have not found an asset pricing approach to assess a possible contagion. The authors have developed a new method to evaluate whether there is a contagion from BTC to financial markets. A simple but intuitive asset pricing method to evaluate a systematic risk from a factor is a single index model. The single index model has been extensively used in stock markets but has not been used to evaluate the systemic risk potentials of cryptocurrencies. The authors followed Morck et al. (2000) and Durnev et al. (2004) to assess whether there is a systemic risk from BTC to financial markets. If the BTC possesses a systematic risk, the explanatory power of the BTC index model should be high. Therefore, the first implied contribution is to re-evaluate the findings from Aslanidis et al. (2019), Dahir et al. (2019) and Handika et al. (2019), using a different method.

CROSS-CULTURAL ADAPTATION AND MANAGEMENT STRATEGIES OF PAKISTANI STUDENTS' DAILY LIFE IN CHINA

This study aims at the cross-cultural adaptation of 192 Pakistani students majoring in MBBS in Yichun University, Jiangxi Province, China. Taking perceived stress, coping mechanism, Chinese proficiency and social support as independent variables, social interaction adaptation, communication adaptation, study environment adaptation and living environment adaptation as dependent variables, research and analysis of gender and grade as regulatory variables and university support as intermediate variables. The researchers studied the positive and negative relationship between their variables and dependent variables. Through the distribution of questionnaires and semi-structured interviews, their cross-cultural daily life and learning during university were observed.

THE EFFECT OF SUSTAINABLE PACKAGING ON QUALITY PERCEPTION AND PURCHASE INTENTION: THE MODERATOR ROLE OF ENVIRONMENTAL CONSCIOUSNESS AND HEALTH CONSCIOUSNESS

It is an undeniable fact that the source of problems such as global warming, climate change and environmental pollution is human beings. Increasing concern about the environment has forced people to be more conscious about the environment. The fact that the carbon footprint of all activities can be tracked has made consumers more environmentally conscious. Since most consumer products are packaged, their carbon footprint is not only dependent on the product itself, but also on its packaging. In order to reduce the environmental footprint of a product, it is necessary to change both the internal and external characteristics of the product (such as packaging) (Magnier et al., 2016). When the environmental activities of the companies are combined with the environmental attitudes of the consumers, more environmental products and initiatives have emerged. It is known that the marketing activities carried out by the companies affect the perception and behavior of the consumers. When the literature is examined, it is seen that the clues used about sustainability affect the perception of quality (Lee et al., 2013) and the items used in the packaging design affect the product perception (Becker et al., 2011; Gordon et al., 1994; Mugge et al., 2014). For these reasons, when environmentally friendly packaging is considered as a packaging feature, it is important to examine its effect on product quality perception. In this context, the effect of sustainable packaging on product quality perception and purchase intention will be examined within the scope of the research. In addition, environmental awareness and health awareness, which are consumer characteristics, will be tested as regulatory variables in the model. In this study, which is a quantitative research, experimental method will be used. The fact that similar studies have been carried out mostly in developed countries and that this study will be conducted in Turkey, which is a developing country, will provide the opportunity to make comparisons in terms of countries.

Double-strand DNA break repair: molecular mechanisms and therapeutic targets.

Double-strand break (DSB), a significant DNA damage brought on by ionizing radiation, acts as an initiating signal in tumor radiotherapy, causing cancer cells death. The two primary pathways for DNA DSB repair in mammalian cells are nonhomologous end joining (NHEJ) and homologous recombination (HR), which cooperate and compete with one another to achieve effective repair. The DSB repair mechanism depends on numerous regulatory variables. DSB recognition and the recruitment of DNA repair components, for instance, depend on the MRE11-RAD50-NBS1 (MRN) complex and the Ku70/80 heterodimer/DNA-PKcs (DNA-PK) complex, whose control is crucial in determining the DSB repair pathway choice and efficiency of HR and NHEJ. In-depth elucidation on the DSB repair pathway's molecular mechanisms has greatly facilitated for creation of repair proteins or pathways-specific inhibitors to advance precise cancer therapy and boost the effectiveness of cancer radiotherapy. The architectures, roles, molecular processes, and inhibitors of significant target proteins in the DSB repair pathways are reviewed in this article. The strategy and application in cancer therapy are also discussed based on the advancement of inhibitors targeted DSB damage response and repair proteins.

Multi-scenario prediction and path optimization of industrial carbon unlocking in China

China's industry is facing a carbon lock-in (CLI) dilemma. Based on the complexity and dynamics of CLI, exploring diversified unlocking paths is an important way to achieve emission reduction goals. This paper innovatively applies system dynamics (SD) to the study of CLI prediction and unlocking path, and systematically constructs an industrial CLI SD model, trying to break the positive feedback mechanism of CLI through multiple causality and feedback chains. This paper simulates and predicts the changing trend of the CLI level of China's industry and 8 major subsectors from 2020 to 2050. At the same time, the random forest algorithm is used to select the regulatory variables of policy analysis. Compared with the previous research methods, the accuracy and objectivity of the selection of regulatory variables are improved, so as to test the effectiveness of the unlocking path under each scenario. The results show that (1) the whole industry faces a serious CLI problem and is still in a deep lock-in state. From the perspective of subsectors, the light, electromechanical, and textile industries have achieved unlocking; the oil and extractive industries are in a moderately lock-in state; the chemical, steel, and power industries are in a deep lock-in state; and the CLI situation is serious. (2) The results of the random forest algorithm show that R&D investment, the proportion of fixed asset investments in the energy industry, car sales, energy structure, and carbon emission industry structure are the most significant factors affecting CLI in each subsystem. (3) Compared with the existing economic development model, the technological, institutional, social, and comprehensive unlocking scenarios can all enable industry to achieve carbon peak and carbon unlocking in advance. However, the effect of each scenario is as follows: comprehensive unlocking scenario > technological unlocking scenario > institutional unlocking scenario > social unlocking scenario. (4) The unlocking times of the oil, chemical, steel, and power industries are relatively late in each scenario. To realize carbon unlocking in industry, these four areas should be focused on in the future. This study helps policymakers formulate reasonable policies to accelerate industrial carbon unlocking and promote the implementation of the “dual carbon” strategy.

Customer satisfaction and airport efficiency in Brazil: a hybrid NDEA-AHP approach

PurposeThis paper aims to measure and unveil the relationship between customer satisfaction and efficiency levels in the most relevant Brazilian airports.Design/methodology/approachThe authors utilize a two-stage network DEA (data envelopment analysis) and AHP (analytic hierarchy process) model as the cornerstones of the study. The first stage of the network productive structure focuses on examining the infrastructure efficiency of the selected airports, while the second stage assesses their business efficiency.FindingsAlthough the results indicate that infrastructure and business efficiency levels are heterogeneous and widely dispersed across airports, controlling the regression results with different contextual variables suggests that the impact of efficiency levels on customer satisfaction is mediated by a set of socio-economic and demographic (endogenous) and regulatory (exogenous) variables. Furthermore, encouraging investment in airports is necessary to achieve higher infrastructural efficiency and scale efficiency, thereby improving customer satisfaction.Originality/valueThere is a scarcity of studies examining the relationships among customer satisfaction, privatization and airport efficiency, particularly in developing countries like Brazil.

Regulation of Bone by Mechanical Loading, Sex Hormones, and Nerves: Integration of Such Regulatory Complexity and Implications for Bone Loss during Space Flight and Post-Menopausal Osteoporosis.

During evolution, the development of bone was critical for many species to thrive and function in the boundary conditions of Earth. Furthermore, bone also became a storehouse for calcium that could be mobilized for reproductive purposes in mammals and other species. The critical nature of bone for both function and reproductive needs during evolution in the context of the boundary conditions of Earth has led to complex regulatory mechanisms that require integration for optimization of this tissue across the lifespan. Three important regulatory variables include mechanical loading, sex hormones, and innervation/neuroregulation. The importance of mechanical loading has been the target of much research as bone appears to subscribe to the "use it or lose it" paradigm. Furthermore, because of the importance of post-menopausal osteoporosis in the risk for fractures and loss of function, this aspect of bone regulation has also focused research on sex differences in bone regulation. The advent of space flight and exposure to microgravity has also led to renewed interest in this unique environment, which could not have been anticipated by evolution, to expose new insights into bone regulation. Finally, a body of evidence has also emerged indicating that the neuroregulation of bone is also central to maintaining function. However, there is still more that is needed to understand regarding how such variables are integrated across the lifespan to maintain function, particularly in a species that walks upright. This review will attempt to discuss these regulatory elements for bone integrity and propose how further study is needed to delineate the details to better understand how to improve treatments for those at risk for loss of bone integrity, such as in the post-menopausal state or during prolonged space flight.

경력몰입과 조직몰입 간의 관계에 대한 체계적 문헌고찰

This study divided career commitment and organizational commitment into compatible and zero-sum relationships through domestic literature analysis on the relationship between career commitment and organizational commitment. The implications and future research directions were presented by systematically analyzing related preceding variables, outcome variables, mediating variables, and regulatory variables by dividing them into two perspectives. To this end, the main results of analyzing 51 KCI-registered academic journal papers that studied the relationship between the two variables as research subjects, research variables, and research methods are as follows. First, a total of 15 studies have been confirmed to examine the effects between other variables in a zero-sum relationship between career commitment and organizational commitment. Second, 36 studies have been confirmed to examine the effects of career commitment and organizational commitment between other variables in the zero-sum relationship. Third, the two variables were classified as related preceding/mediating/regulation/result variables in the compatible relationship and zero-sum relationship, and a conceptual integrated model was presented. Based on these research results, implications and future research directions were presented.

Governance, regulatory quality and financial institutions: emerging economies perspective

PurposeThe study evaluates the effects of governance and other regulatory structures on the development of financial institutions in the subregion of sub-Saharan Africa (SSA).Design/methodology/approachData for the analyses were compiled from relevant sources from 1996 to 2019 from a sample of 36 countries in the subregion. Empirical analyses were carried out using the Prais-Winsten panel corrected standard errors panel estimation technique augmented by pooled ordinary least squares with Driscoll and Kraay (1998) standard errors model.FindingsFindings from the study suggest that governance and institutional quality index, as well as individual governance and regulatory variables, have positive effect on the development of financial institutions among economies in SSA. Further empirical estimates show that output growth volatility has negative moderating impact on the relationship between effective governance, control of corruption, rule of law, regulatory quality, voice and accountability, and development of financial institutions. Additionally, the results show that during periods of heightened macroeconomic risk, financial institutions could benefit from improved governance and effective regulatory structures.Originality/valueCompared to related studies that have reviewed the discourse on financial institutions, this study rather focuses on how governance structures and institutions influence development of financial institutions instead of the impact of financial institution on the broader economy. The authors further augment this interaction by examining how the relationship in question may be moderated by macroeconomic shocks.