Miracle-dz/UniFAR-FTUs huggingface dataset:
Principal Component Factor Analysis of Some Development Factors in Southern Nigeria and Its Extension to Regression Analysis

This study was conducted to evaluate some development factors in Southern Nigeria in order to ascertain common factors that explained the interrelationships among them and identify best cities for recommendation. A total sample of 250 cities from different states in three geopolitical zones in Southern Nigeria was used in this study and 11 development factors were considered. Kaiser-Meyer-Olkin (KMO) of (> 0.5) was computed to test the sampling adequacy; Bartlett’s Test of Sphericity (Significant at 0.001) was conducted to test whether the correlation between the variables are sufficiently large for factor analysis; correlation matrix was computed to confirm the inter-item correlation. In this analysis, principal component factor analysis was the factor extraction method. Varimax rotation technique was used for factor rotation. The result showed that three new factors with eigenvalues greater than 1 were successfully constructed. The three new factors accounted for 71.63% of total variance in the dataset and assigned as the common factors influencing sustainable development in Southern Nigeria. The communalities results ranging from 0.32-0.88 Original Research Article Eze et al.; JAMCS, 36(3): 132-160, 2021; Article no.JAMCS. 67074 133 depicted that factor model was adequate. The results of factor analysis were extended to multiple regression analysis. The multiple regression model was fitted using development scores as dependent variable and rotated factors as independent variables. The coefficient of determination, , for the regression model was 99% and this shows that the model is adequate to evaluate the Southern Nigerian cities. The higher the estimated development scores, the better a city. Tolerance and VIF values showed that there was no multicollinearity in the regression model.
Scaling up Metal Hydrides for Real-Scale Applications: Achievements, Challenges and Outlook

As the world evolves, so does the energy demand. The storage of hydrogen using metal hydrides shows great promise due to the ability to store and deliver energy on demand while achieving higher volumetric density and safer storage conditions compared with traditional storage options such as compressed gas or liquid hydrogen. Research is typically performed on lab-sized samples and tanks and shows great potential for large scale applications. However, the effects of scale-up on the metal hydride’s performance are relatively less investigated. Studies performed so far on both materials, and hydride-based storage tanks show that the scale-up can significantly impact the system’s capacity, kinetics, and sorption properties. The findings presented in this review suggest areas of further investigation in order to implement metal hydrides in real scale applications.
Welcoming new entrants into European electricity markets

We select four important waves of new entrants that knocked on the door of European electricity markets to illustrate how market rules need to be continuously adapted to allow new entrants to come in and push innovation forward. The new entrants that we selected are utilities venturing into neighbouring markets after establishing a strong position in their home market, utility-scale renewables project developers, asset-light software companies aggregating the assets of smaller consumers and producers, and different types of communities. We show that well-intentioned rules designed for certain types of market participants can (unintentionally) become obstacles for new entrants. We conclude that the evolution of market rules illustrates the importance of dynamic regulation. At the start of the liberalisation process the view was that we would deregulate or re-regulate the sector after which the role of regulators could be reduced. But their role has only increased. New players might also present new risks that require intervention by regulators.
The Prognostic Multivariate Models For Severe Complications After Heart Valve Surgery

Background: To provide prognostic multivariate models for severe complications prediction after heart valvular surgery, such as low cardiac output syndrome (LOCS), acute kidney injury requiring hemodialysis (AKI-rH) and multiple organ dysfunction syndrome (MODS). Methods: We developed multivariate logistic regression models to predict the severe complications after heart valvular surgery using 930 patients collected retrospectively from the first affiliated hospital of Sun Yat-Sen University from January 2014 to December 2015. The validation was conducted using a retrospective dataset of 713 patients from the same hospital from January 2016 to March 2017. We considered two kinds of prognostic models: the PRF models which were built by using the preoperative risk factors only, and the PIRF models which were built by using both of the preoperative and intraoperative risk factors. The Least absolute shrinkage selector operator was used for developing the models. We assessed and compared the discriminative abilities for both of the PRF and PIRF models via the receiver operating characteristic curve. Results: Compared with the PRF models, the PIRF modes selected additional intraoperative factors, such as auxiliary cardiopulmonary bypass time and combined tricuspid valve replacement. The area under the curves (AUCs) of the PRF models for predicting LOCS, AKI-rH and MODS are 0.565 (0.466, 0.664), 0.688 (0.62, 0.757) and 0.657 (0.563, 0.751), respectively. As a comparison, the AUCs of the PIRF models for predicting LOCS, AKI-rH and MODS are 0.821 (0.747, 0.896), 0.78 (0.717, 0.843) and 0.774 (0.7, 0.847), respectively. Conclusions: Adding the intraoperative factors can increase the predictive power of the prognostic models for severe complications prediction after heart valvular surgery.
Increasing Reliance on Financial Advice with Avatars: The Effects of Competence and Complexity on Algorithm Aversion

We find that avatar design can reduce algorithm aversion, which is the tendency of decision makers to ignore advice received from an algorithm after the algorithm makes an error. When the facial features of an avatar exhibit high levels of competence, algorithm aversion can be reduced relative to no avatar or a less competent-looking avatar. Humanizing the financial advice from an algorithm with an avatar that promotes the perception of competence effectively reduces algorithm aversion and can enhance reliance on the financial advice of robo-advisors.
Self-control in old age: A grounded theory study

Background Self-control is associated with multiple positive outcomes. There are several studies on self-control, yet no literature describing the mechanism of self-control in old age. Objective This study aims to develop a substantive theory on the exercise of self-control in old age. Methods Grounded Theory methodology developed by Glaser & Strauss was utilized in the conduct of this study with ten (10) older adults as participants following the set of inclusion and exclusion criteria. Individual in-depth interviews of 30-45 minutes were observed to gather the needed verbatim narrative responses from each participant after careful consideration of the ethical procedures approved by the University research ethics board. Major themes with their respective sub-themes were generated after rigorous analysis of the participants’ responses following the steps provided by Glasser & Strauss in conducting grounded theory studies. Results This study resulted in the formulation of three propositions such as: (1) Older adults exercise self-control differently, (2) several personal motivations are involved in the exercise of self-control, and (3) the exercise of self-control leads to life satisfaction. From the propositions emerged the Theory of Self-control in Old age, which states that the process of self-control encompasses the human capability of exercising self-restraint to overrun different types of desires, passions, and temptations. The theory posits that older adults vary in their exercise of self-control depending upon their personal motivations. The theory also assumes that the exercise of self-control results in life satisfaction as displaying self-control is attributed to a host of positive life outcomes. Conclusion The present study has important implications in the field of gerontology and health care services since the older population is growing, and so does the demand for health care services. The need to understand the choices and decisions of older adult clients is fundamental in individualizing the health care services that may be designed and provided for them.
REDbox: a comprehensive semantic framework for data collection, management and sharing in tuberculosis research

Background: The outcomes of a clinical research directly depend on the correct definition of the research protocol, the data collection strategy and the data management plan. Furthermore, researchers often need to work within challenging contexts, such as in Tuberculosis services, where human and technological resources for research may be rare. The use of Electronic Data Capture systems can help to mitigate such risks and to enable a democratic environment to conduct health research and promote results dissemination and data reusability. Methods: The proposed solution was based on needs pinpointed by researchers, considering the lack of an embracing solution to conduct research in low resources environments. REDCap was used for research data storing and its management. KoBoToolbox enables forms building and online and offline data collection. Semantic annotation is applied for promoting data integration and availability. Results: The REDbox framework was built to enhance data collection, management and sharing in tuberculosis research, while providing a better user experience. Metadata was defined to enable the integration of both systems. A converter module enables compatibility of forms in both systems. Data collected in KoBoToolbox forms are instantly submitted to an ETL processor, which extracts and transforms the data to be loaded into REDCap. A data quality module facilitates the management of data by reducing the workload of time-consuming and delicate tasks. A service provides practical tools to enhance the use of ontologies and support the continuous integration of different data sources.Conclusions: The relevance of this article lies in the innovative approach to support TB research during collection, management and dissemination phases, which is often carried out in contexts with few human and technological resources. REDCap presents a better approach to the whole research life cycle, but has some usability concerns. On the other hand, KoBoToolbox natively works online or offline, without any additional software. Therefore, when focusing on positive aspects of each tool, it is possible to underpin tuberculosis research by improving data collection, management capability and security. Furthermore, the aggregation of meaning in raw data helps to promote the quality and the availability of research data.
Modeling the Effectiveness of Intelligent Systems in Public Transport That Uses Low-Carbon Energy: A Case Study

Cities have been struggling for many years with many transport problems, including the impact of carbon monoxide emitted by vehicles on the environment, traffic jams, high energy consumption, numerous accidents or high infrastructure costs. There is also a dynamic growth of vehicles on the roads, which is why an increasing number of cities are introducing intelligent transportation systems (ITS), which is part of the concept of smart cities. This paper proposes a new matrix to assess the effects of the ITS implementation in the context of a concept Smart City, which consists of five criteria: (1) movement speed; (2) safety; (3) environmental; (4) economic; (5) satisfaction and amenities for society/passengers. In this new approach the benchmark values of the indicators assigned to the criteria are involved and, therefore, it is possible to determine the level of effectiveness of the ITS in public transport that uses low-carbon energy. This research used literature studies to establish the criteria of effectiveness of ITS as well as a case study, namely public transport that uses low-carbon energy in a Polish city, which had the largest fleet of electric buses in Poland and implements and uses an ITS. Both, the theoretical and the empirical research results demonstrate the usefulness and potency of the proposed matrix to assess the effects of the ITS implementation in cities in the context of the development of a smart city. In that way, the proposed approach may be a useful tool for measuring the effects of ITS implementation in cities.
Platelet Inhibition with 60 mg Ticagrelor twice daily plus 100 mg Aspirin once daily in patients after CABG

Objective: To optimize the antiplatelet therapy by observing the clinical outcomes in patients after coronary artery bypass grafting (CABG) treated with 60 mg ticagrelor twice daily plus 100 mg aspirin once daily for 1 year.Methods: The observation group was composed of patients receiving 60 mg ticagrelor twice daily plus 100 mg aspirin once daily for antiplatelet therapy after CABG, whereas the control group comprised patients taking 90 mg ticagrelor twice daily plus 100 mg aspirin once daily after CABG. Results: In the intention-to-treat (ITT) analysis of saphenous vein grafts (SVGs) patency, the difference was not statistically significant [RR=0.89, 95% confidence interval (CI): 0.29–2.71; P=0.84] between the two groups. The per-protocol (PP) analysis results of the 1-year SVGs patency rates were consistent with ITT analysis. There were no notable differences in the rates of bleeding, mild dyspnea or dyspnea leading to discontinuation of the study drug between the two groups (P=0.211). Conclusions: In patients undergoing CABG, treatment with 60 mg ticagrelor twice daily plus 100 mg aspirin once daily can achieve satisfactory clinical outcomes. Besides, the rates of dyspnea in 60 mg ticagrelor treatment are significantly lower than that in 90 mg ticagrelor treatment. As a result, the 60 mg dose leads to a markedly lower discontinuation rate of the study drug and a better safety profile, which tends to provide a more attractive benefit-risk profile.
Study of Safety Investment in Mines Based on Utility Function From a Game Perspective: Experiences From China

First and Corresponding author: Jian Yu, Ph.D., professor in School of Economics and Management, Beijing Forestry University; post-doctor of Tsinghua SEM; research fellow of Internet Industry Institute, Tsinghua University. Research areas: Corporate governance, Chinese-type management, resources integration and strategy. Email: yja09@tsinghua.org. cn; Tel: 0086+13301035252. Address: #35, Qinghua East Road, Haidian District, Beijing, P.R. China, Zip: 100083.
27.9% Efficient Monolithic Perovskite/Silicon Tandem Solar Cells on Industry Compatible Bottom Cells

Monolithic perovskite/silicon tandem solar ef ﬁ ciency of silicon single-junction solar cells. Most tandem cells utilize > 250 μ m thick, planarized ﬂ oat-zone (FZ) silicon, which compatible with using < 200 μ m thick Czochralski (CZ) The perovskite/silicon tandem cells on industrially relevant μ m thick CZ-silicon mechanical planarization best ciency The authors acknowledge the support of Thorsten Dullweber and Dorn (both ISFH) for the chemical polishing of CZ wafers. The authors acknowledge funding from HyPerCells (Hybrid Perovskite Solar Cells, joint Graduate School, as well as from the German Federal Ministry for Economic Affairs and Energy (BMWi) through the “ PersiST ” project (grant no. 0324037C) as well as ProTandem (grant no. 0324288C). Further funding was provided by the Federal Ministry of Education and Research (BMBF) for funding of the Young Investigator Group Perovskite Tandem Solar Cells within the program “ Materialforschung für die Energiewende ” (grant no. 03SF0540) and by the Helmholtz Association within the projects HySPRINT Innovation lab and TAPAS (Tandem Perovskite and Silicon solar cells — Advanced optoe-lectrical characterization, modelling, and stability). F.L. acknowledges ﬁ nan- cial support from the Alexander von Humboldt Foundation via the Feodor Lynen program. The authors also acknowledge ﬁ nancial support by the Federal Ministry for Economic Affairs and Energy within the framework of the 7th Energy Research Programme (P3T-HOPE, grant no. 03EE1017C). M.J. and M.T. acknowledges ﬁ nancial support from the Slovenian Research Agency (ARRS) within the grants P2-0197 and J2-1727. Open access enabled and organized by Projekt DEAL.
Compressibilities of long-chain normal hydrocarbons

Measurements were made of the compressions of n-C JS H 3S, n-C 2oH42, n-C24 TIso, n-C 26IIs4, n-C 2s H s8, and n-C30H62 in the crystalline state at 21 0 C. The pre sure range used was from 1,000 to 10,000 atmospheres. Within the experimental error, which was fairly large because of the small size of sample, no significant variation of the compression with chain length was observed. The average compression of all the hydrocarbons studied may be represented by the equation - e.V/ Vo= 0.1717loglO (2,500+ P )-O.6272. The a\'erage compressibility of the hydrocarbons extrapolated to 1 atmosphere was calculated to be 29.S X 10- 6 atm- I at 21° C.
Semi-Supervised Learning With Label Proportion

The scarcity of labels is common and great challenge in traditional supervised learning. Semi-supervised learning (SSL) leverages unlabeled samples to alleviate the absence of label information. Similar with annotation, label proportion is another type of prior information and plays a significant role in classification tasks. Compared with the acquisition of labels, label proportion can be obtained more easily. For example, only a small number of patients have been diagnosed with or not with cancers in hospital database, while the proportion with cancer can be generally estimated by historical records. How to incorporate such prior information of label proportion is crucial but rarely studied in literature. Traditional SSL methods often ignore this prior information and will lead to performance degradation inevitably. To solve this problem, we propose a novel SSL with Label Proportion (SSLLP). Our approach encourages to preserve label consistency and label proportion by imposing the cardinality bound constraints. Our formulated problem equals to a mixed-integer constrained submodular minimization and it is difficult to be solved directly. Therefore, we transformed the original problem into a convex one by Lov<inline-formula><tex-math notation="LaTeX">$\acute{\text{a}}$</tex-math><alternatives><mml:math><mml:mover accent="true"><mml:mtext>a</mml:mtext><mml:mo>´</mml:mo></mml:mover></mml:math><inline-graphic xlink:href="hou-ieq1-3076457.gif"/></alternatives></inline-formula>sz extension and designed an efficient solving algorithm. Extensive experimental results present the improved performance of our method over several state-of-the-art methods.
Physiological effects of salinity on nitrogen fixation in legumes – a review

Abstract Among other crop plants legumes are of great significance for agricultural practice since they represent a major source of proteins for human and animal consumption. Through their participation in symbiotic nitrogen fixation in a tight relationship with soil bacteria, atmospheric nitrogen is reduced to ammonium which is a more suitable form of N for utilization of nearly all plant species. Symbiotic nitrogen fixation is a natural means for improving soil fertility advantageous over chemical fertilizing which has lower efficiency and greater economic and ecological costs. High soil salinity seriously decreases crop yield and productivity. In this review, we examine the current knowledge and understanding of the effect of salinity stress on legumes and symbiotic nitrogen fixation and discuss mechanisms and management strategies for improving crop performance. The potential of using legumes as green manure in order to ameliorate plant productivity in saline environments is discussed. Promising technologies for increasing crops nutrient content like the utilization of plant growth-promoting bacteria and the newest research efforts involved in transferring nitrogen-fixing capacity to non-legumes and economically important plant species are outlined.
Optimization of Hybrid Energy Systems for Rural Electrification

This study is an optimization of hybrid energy system in Nigeria, the energy requirement of Ikot Inyang rural community is satisfied after carrying out the design and simulation of different variables, the optimal systems were a system that consisted of 5 wind turbines, solar models and a diesel generator as energy sources. Ikot Inyang is a rural community located in Akwa Ibom state, South-South Nigeria, the community is connected to the national electricity network (grid) but the power supply is rarely consistent. The load estimate analysis showed that Ikot Inyang had peak load 58.62kW and peak energy demand per day as 670.65kWh. Eight (8) different design plans were considered and simulations were carried out using HOMER software. Several factors were used to determine the most optimal system, which includes the Net Present Cost, Levelized Cost of Energy, Renewable Fraction and system emissions. This was carried out for the 25 years project life time. The design plans were made of stand-alone systems as well as combination of many generating sources with battery included in some systems, various simulations were carried out. HOMER Presented the most technical and economical solution to meet the load demand at the least Net Present Cost, least Levelized Cost of Energy and allowable Renewable fraction. The most optimal solution for Ikot Inyang involved a combination of a 50Kw diesel generator, 5 Bergey Excel 10 wind turbine, 134kW solar model, 204 strings of Hoppecke 12 OPzS 1500 battery and 2 Leonics MTP-413F 25kW converter. The dispatch method used for this system was the Load Following dispatch method. This method produced at least Net Present Cost of $1.7M (N349.36M), Levelized Cost of Energy of $0.228 (N74.74), considerably high Renewable Fraction of 84.7%, When this result was compared with a diesel generator only system, it showed 77.2% reduction in the diesel saving fuel cost. Comparison with a design plan consisting of diesel generator only showed that 202,155kg of carbon dioxide is saved per year and 1,262kg of carbon monoxide is saved per year when making use of the most optimal system design.
THE BASICS ON ACCOUNTING PROFESSION SELECTION: LATEST CAPTURE DURING COVID-19 PANDEMIC ERA

COVID-19 pandemic era is very potential in changing the mindset of students in the accounting field in seeing their future careers. It cannot be denied that there are several factors in how they view the prospects for the accounting profession amid this pandemic. This research was conducted at a university located in Malang City, Indonesia. The data was obtained through interviews with 70 students of the Accounting Department, Faculty of Economics. Interviews were conducted in person for approximately three months in 2020. In connection with the COVID-19 pandemic, interviews were conducted online. It is revealed that financial performance rewards and an ideal work environment are the two main factors that accounting students consider in determining their career path.