The challenge of rural electrification has become more challenging today than ever before. Grid-connected and off-grid microgrid systems are playing a very important role in this problem. Examining each component’s ideal size, facility system reactions, and other microgrid analyses, this paper proposes the design and implementation of an off-grid hybrid microgrid in Chittagong and Faridpur with various load dispatch strategies. The hybrid microgrids with a load of 23.31 kW and the following five dispatch algorithms have been optimized: (i) load following, (ii) HOMER predictive, (iii) combined dispatch, (iv) generator order, and (v) cycle charging dispatch approach. The proposed microgrids have been optimized to reduce the net present cost, CO₂ emissions, and levelized cost of energy. All five dispatch strategies for the two microgrids have been analyzed in HOMER Pro. Power system reactions and feasibility analyses of microgrids have been performed using ETAP simulation software. For both the considered locations, the results propound that load-following is the outperforming approach, which has the lowest energy cost of $0.1728/kWh, operational cost of $2944.13, present cost of $127,528.10, and CO₂ emission of 2746 kg/year for the Chittagong microgrid and the lowest energy cost of $0.2030/kWh, operating cost of $3530.34, present cost of 149,287.30, and CO₂ emission of 3256 kg/year for the Faridpur microgrid with a steady reaction of the power system.

Purpose: The purpose of this paper is to review literature in the area of perceived organizational politics (POPs) and to present a model that explains the positive role of the phenomenon in the workplace. This involves understanding how POPs have evolved from playing a much-publicized destructive role to an emerging constructive one. Design/methodology/approach: An integrative review method was used to review articles on POPs published over the last 13 years (2010–2022). The primary sources of information were several databases, such as ISI Web of Science, Google Scholar, and Scopus. Specific search terms were considered to find relevant articles, leading to 7803 articles (3894 hits on Scopus, 1723 hits on Google Scholar, and 2186 hits on Web of Science). These studies were further examined for their relevance to this study, and 103 articles were identified. The application of exclusion criteria funneled them to 66 studies. The articles, employing quantitative, mixed, and qualitative approaches were coded. The themes were subsequently determined. Findings: The review notes that the POPs literature emphasis is shifting from a negative and dysfunctional approach to one where positive organizational outcomes are possible. The review concludes that POPs have functional consequences too. The phenomenon could illuminate favorable workplace outcomes if viewed as an enhancer rather than a hindrance. POPs should be viewed as a phenomenon that for all purposes is essentially neutral. It is individuals who label the otherwise neutral construct as negative (negative POPs) or positive (positive POPs). Practical implications: The paper reveals how antecedents help organizational members label politics as positive. Perceived organizational politics is largely a neutral construct until the perceiver decides to label it otherwise. A positive perception of politics is significant in predicting important employee outcomes such as motivation, employee satisfaction, and job performance. Management needs to invest in antecedents and moderators to help employees label the construct as positive rather than negative. Originality/value: The study is an original review of the positive POPs literature to identify the significant antecedents, moderators, and work outcomes, vital to organizational success.

Cartography includes two major tasks: map making and map application, which is inextricably linked to artificial intelligence technology. The cartographic expert system experienced the intelligent expression of symbolism. After the spatial optimization decision of behaviorism intelligent expression, cartography faces the combination of deep learning under connectionism to improve the intelligent level of cartography. This paper discusses three problems about the proposition of “deep learning + cartography”. One is the consistency between the deep learning method and the map space problem solving strategy, based on gradient descent, local correlation, feature reduction and non-linear nature that answer the feasibility of the combination of “deep learning + cartography”; the second is to analyze the challenges faced by the combination of cartography from its unique disciplinary characteristics and technical environment, involving the non-standard organization of map data, professional requirements for sample establishment, the integration of geometric and geographical features, as well as the inherent spatial scale of the map; thirdly, the entry points and specific methods for integrating map making and map application into deep learning are discussed respectively.

This paper examines the sustainability practices implemented by healthcare establishments, mainly Small and Medium enterprises (SMEs), We focus on identifying opportunities with challenges involved. This systematic literature analyses 47 studies that explore sustainability practices in the healthcare system globally. The finding from the studies reveals that healthcare organizations with SMEs adopt diverse measures like renewable energy, a reduction, and a response procurement in minimizing the impact on the environment and ensuring financial stability. The challenges SMEs face comprise limited financial resources, lack of expertise, with difficulties accessing information and support. Furthermore, we suggest opportunities for SMEs to enhance sustainability practices with partnerships with other organizations and investing in educating employees. Implementation of sustainability practices will improve the financial stability, and environmental impact, with the wellbeing of healthcare stakeholders. The empirical evidence, comparative studies with cross-disciplinary are needed in exploring the effectiveness of the different suitability practices, potential trade-offs, synergies between sustainability and other organizational goals, the effect of sustainability practice in the financial with non-financial performance on SMEs in healthcare establishment are positive, with cost-effectiveness, efficiencies operations, improving brand reputations and engaging the employee. Established factors like regulating frameworks and government initiatives play a major role in the influence of adopting sustainability practices with cultural factors.

This review discusses the significant progress made in the development of CNT/GO-based biosensors for disease biomarker detection. It highlights the specific applications of CNT/GO-based biosensors in the detection of various disease biomarkers, including cancer, cardiovascular diseases, infectious diseases, and neurodegenerative disorders. The superior performance of these biosensors, such as their high sensitivity, low detection limits, and real-time monitoring capabilities, makes them highly promising for early disease diagnosis. Moreover, the challenges and future directions in the field of CNT/GO-based biosensors are discussed, focusing on the need for standardization, scalability, and commercialization of these biosensing platforms. In conclusion, CNT/GO-based biosensors have demonstrated immense potential in the field of disease biomarker detection, offering a promising approach towards early diagnosis. Continued research and development in this area hold great promise for advancing personalized medicine and improving patient outcomes.

This research aims to assess the impact of bargaining power on budget implementation while also considering the deviation in capital expenditure as a moderating factor. The research sample included 34 provincial governments in Indonesia between 2019 and 2022. The sample determination method used purposive sampling, so the final sample size was 134 observations. The research employed panel data regression to test the hypotheses and continued with the Chow, Lagrange multiplier, and Hausman tests. The study results indicate that bargaining power has a positive and significant effect on budget implementation, with the deviation in capital expenditure not diminishing its impact. The research’s practical implication is that regional governments must effectively manage their revenues to finance regional spending needs through regional tax intensification and extensification policies. The study contributes to signaling theory by highlighting that regional governments can finance regional spending needs through fiscal independence and society’s involvement. It also contributes to agency theory by demonstrating that capital expenditure deviation in the form of information asymmetry in regional governments does not reduce their ability to finance regional expenditure needs. Nonetheless, the study suggests that the proxies used in this research are limited, and further exploration of other proxies to measure tested variables. This research provides new knowledge for stakeholders regarding the dynamics of regional budgeting, especially regarding assessing the impact of bargaining power on budget implementation and considering deviations in capital expenditure as a moderating factor.