Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the drivers of digital financial inclusion: an empirical analysis based on interprovincial panel data in China

With rapid technological innovation, digital financial inclusion offers the advantages of wide geographical coverage, high availability, low cost and strong sustainability. Developing countries are increasingly making significant achievements toward greater financial inclusion. This study empirically examined the factors driving the development of digital inclusion finance in China, a major developing country. We performed co-integrated panel regressions on national and regional data from 31 provinces in China from 2011 to 2018. We found that the level of economic development, government intervention, internet penetration, and credit market development can significantly affect the level of digital financial inclusion in China; however, the degree of influence varies in different provinces. We propose that developing countries should strengthen their policy support and supervision of digital financial inclusion while encouraging the development of their economies and motivate the innovation and upgrading of the domestic financial industry for vigorous development of digital financial inclusion.
Mitochondrial pathways and respiratory control: An Introduction to OXPHOS Analysis. 5th ed.

Did you know that keeping your mitochondria fit is essential for quality of life, brain and muscle function, and resistance against preventable, immunological, and age-related degenerative diseases? The capacity of cellular oxidative phosphorylation (OXPHOS) — a direct measure of mitochondrial function — is a result of evolution, age, gender, lifestyle, and environment (EAGLE). Increasingly, western lifestyle and aging contribute to mitochondrial dysfunction and the current epidemic of preventable diseases, including neurodegenerative and cardiovascular diseases, obesity, diabetes, and various types of cancer. The mitObesity epidemic leads to multimorbidity in aging and threatens to overwhelm the capacity of healthcare systems. Training in mitochondrial physiology and bioenergetics, therefore, has high relevance to society. The ‘Blue Book’ on Mitochondrial Pathways and Respiratory Control presents a fundamental introduction to OXPHOS analysis for students and researchers in life sciences ― from evolutionary biology to medical and environmental applications. It combines concepts of bioenergetics and biochemical pathways related to mitochondrial core energy metabolism, provides the basis for substrate-uncoupler-inhibitor titration (SUIT) protocols, and updates the terminology consistent with the MitoEAGLE white paper on Mitochondrial Physiology. It is now our responsibility to transfer the enthusiasm for innovation, reproducibility, and quality in science, and to translate mitochondrial research into visionary healthcare solutions. How to cite: Gnaiger E (2020) Mitochondrial pathways and respiratory control. An introduction to OXPHOS analysis. 5th ed. Bioenergetics Communications 2020.2. https://doi.org/10.26124/bec:2020-0002
Effect of Hydrogen Bond Donor on the Physical Properties of Benzyltriethylammonium Chloride Based Deep Eutectic Solvents and Their Usage in 2-Ethyl-Hexyl Acetate Synthesis as a Catalyst

Deep eutectic solvents (DES) containing benzyl triethylammonium chloride (BTEAC) as a hydrogen bond acceptor (HBA) and p-toluene sulfonic acid (PTSA), citric acid (CA), and oxalic acid (OX) as a hydrogen bond donor (HBD) were formed at their respective eutectic points. The physical properties such as pH, ionic conductivity, viscosity, density, and refractive index were measured between 293 and 333 K. Viscosity values as low as 0.21 Pa·s and conductivity values as high as 8 mS/cm were achieved, where the pH values of each DES proved to be extremely low. The effect of HBD on the physical properties was investigated and was found to be very significant. Also, the catalytic application of BTEAC based DES in the esterification reaction of the acetic acid with 2-ethyl-hexanol was studied, and the activation energy was obtained using initial reaction rates. The results showed that very high initial reaction rates and low activation energy can be achieved when catalyzed by DES which was formed using BTEAC and PTSA.
Improvement of a Nusselt-Based Simulation Model for Heat Transfer in Rotary Heat Exchangers

In the last 50 years, the technology of rotary heat exchangers has not changed considerably. A reliable simulation can help improve the design of this technology. In this work, a simulation for rotary heat exchangers was developed and validated with multiple experimental data. This simulation takes an innovative approach based on locally calculated heat transfer coefficients and considers the entry region effect. This approach proved to be accurate since the average difference between the experimental results and the proposed model with a constant heat boundary condition is 0.1% and the maximum absolute deviation 1%. Experimental, as well as simulation results, indicate that lower empty tube gas velocity (1 m/s) and higher rotational speed (12 rpm) improve thermal efficiency compared to commonly used operating conditions. Additionally, a new model for predicting the local internal Nusselt number for sine ducts in the rotor channels is proposed, which considers the entry region effect.
Factors Affecting Job Announcement Competitiveness on Job Listing Websites

Recruitment as a Human Resource Management function is seen as the factor influencing the development of a competitive advantage. Merely a moment in the online environment can determine whether a potential job candidate responds to a job offer, and thus factors influencing the candidate’s attention also influence the employer’s competitiveness. The paper aims to determine factors that affect job pursuit intentions ( JPI) in the job listing websites environment based on the evaluation of a particular job offer that has attracted the respondent. Data was collected from a randomly selected sample of 412 Czech (CR) and Slovak Republic (SR) university students (effective response rate 29.11 percent). Multiple linear regression was used to determine independent variables to help explain the response. Two models were constructed: the first model contained all suspected variables (explaining the variance of 34.59 percent); the second model also contained their second-degree combinations (explaining the variance of 40.23 percent). The results showed that informativeness about salary and benefits (ISB), employer attractiveness (EA), informativeness about employee responsibilities (IER), as well as informativeness about work-life balance (IWLB) significantly affected job pursuit intentions ( JPI) in both models. The second model revealed that the attractiveness of content (CA) also contributes to explaining variance by this factor’s affecting of the attractiveness of the employer (EA). The study extends the research into job pursuit intention into the online environment, with empirical validation of the models showing the mechanisms and conditions through which the selected variables affect job pursuit intention. The conclusion also offers suggestions for future work that can identify and more deeply describe factors which attract job candidates.
Airport Ground Handling Services Equipment Purchase Decision Model with AHP Weighted

The airport ground handling services (AGHS) equipment supplier selection problem involves a safety guarantee on the part of the AGHS company that carries out the daily work. AGHS company can prevent aircraft damage and delays in airlines schedules, and ensure reliable and high-quality ground handling service. In our research, we developed an AGHS equipment supplier selection model based on the analytic hierarchy process and an AHP weighted fuzzy linear programming approach, and we solved the AGHS equipment supplier’s selection problem. The main objective of this article is to create an AHP and AHP-FLP decision model in order to help the AGHS company authorities select the best AGHS equipment supplier. The practical application in AGHS equipment supplier selection decisions can be interpreted as demonstrating that the proposed model provides knowledge and practical value for the AGHS industry.
Numerical Investigations on the Shape Optimization of Stainless-Steel Ring Joint with Machine Learning

Since pipes used for water pipes are thin and difficult to fasten using welding or screws, they are fastened by a crimping joint method using a metal ring and a rubber ring. In the conventional crimping joint method, the metal ring and the rubber ring are arranged side by side. However, if water leaks from the rubber ring, there is a problem that the adjacent metal ring is rapidly corroded. In this study, to delay and minimize the corrosion of connected water pipes, we propose a spaced crimping joint method in which metal rings and rubber rings are separated at appropriate intervals. This not only improves the contact performance between the connected water pipes but also minimizes the load applied to the crimping jig during crimping to prevent damage to the jig. For this, finite element analyses were performed for the crimp tool and process analysis, and the design parameters were set as the curling length at the top of the joint, the distance between the metal rings and rubber rings, and the crimp jig radius. Through FEA of 100 cases, data to be trained in machine learning were acquired. After that, training data were trained on a machine learning model and compared with a regression model to verify the model’s performance. If the number of training data is small, the two methods are similar. However, the greater the number of training data, the higher the accuracy predicted by the machine learning model. Finally, the spaced crimping joint to which the derived optimal shape was applied was manufactured, and the maximum pressure and pressure distribution applied during compression were obtained using a pressure film. This is almost similar to the value obtained by finite element analysis under the same conditions, and through this, the validity of the approach proposed in this study was verified.
Product recommender system using neural collaborative filtering for marketplace in indonesia

Marketplace has the potential growth in Indonesia indicated by the continued increase in the number of customers. However, the marketplace has some limitations to deliver personalized purchasing experience. Recommender system can support marketplace to overcome that limitations so that customer can find items or services based on their preferences. This study propose to develop product recommender system based on Neural Collaborative Filtering (NCF) algorithm. The product recommender system to be built is using implicit feedback data in the form of customer purchase data. Implicit feedback is reliable data for building recommendation system. The results have shown that NCF achieve the best performance and outperforms over the other collaborative filtering methods.
Detecting Chronic Kidney Disease from Blood Samples using Neural Networks

This paper proposes an artificial neural network approach to automatically detecting Chronic Kidney Disease through fluid samples taken from patients. The rationale for developing such a system is given, as well as possible benefits to the patients and medical industry. Similar systems proposed in the industry and for diagnosing chronic kidney disease through other approaches such as classification algorithms are explored. A dataset to train the neural network on is collected and features analysed, as well as methodology and tools to be used in the development of the neural network.
Cheating for the Cause: The Effects of Performance-Based Pay on Socially Oriented Misreporting

We examine the effect of performance-based pay on misreporting intended to benefit a social mission. We show that performance-based pay decreases people's propensity to misreport for a social mission in a not-for-profit setting (Experiment 1). We similarly show that, in a for-profit setting, performance-based pay also decreases misreporting propensity for a social mission, though not for a non-social mission (Experiment 2). Finally, using a framed field experiment with participants attending a conference hosted by a real charity, we show that performance-based pay reduces actual misreporting when misreporting leads to more donations for the charity (Experiment 3). These results are consistent with our theory suggesting that, relative to fixed pay, performance-based pay imposes additional costs on misreporting employees' self-concepts of benevolence and honesty.
A critical review on the improvement of drought stress tolerance in rice (Oryza sativa L.)

Abiotic stresses are the primary threat to crop production across the globe. Drought stress is primary abiotic stress which is considerably limiting the global rice production and putting the food security at higher risks. Drought tolerance (DT) is a multigene trait which is influenced by various stages of development in rice plant. Tolerance as well as susceptibility of rice to drought stress is carried out by different drought-response genes and other components of stress. Plant researchers have used various methods such as, genetic manipulation and marker-assisted techniques for development of new rice cultivars with improved tolerance to drought stress. The aims of this review are to present recent advancements and illustrate current approaches to breed a robust drought-resistant rice genotypes by using classical breeding and advanced molecular techniques. We also shed light on all available information regarding the role of significant hormones in DT, QTL for drought-related traits, QTL for rice yield, global strategies for the improvement of DT in rice, DT genes, and selection supported by markers.
Eriobotrya fusca sp. nov. (Rosaceae) from Yunnan province, China

Eriobotrya fusca Kuan ex Gao & Idrees, belonging to the family Rosaceae, a new species from Yunnan Province, China is described and illustrated based on both morphological and molecular data. The new species resembles closely morphologically to E. salwinensis Hand. -Mazz. , but differs from it by having elliptic-oblong or oblong-ovate leaves, fewer pairs of lateral veins (12 - 15), lanceolate bracteoles, absent of pedicels, peduncles ca. 10 mm long, both densely brown tomentose, suborbicular petals with emarginate apices, triangular sepals with acute apices, and styles that are connate at their base. The phylogenetic analysis based on nrDNA ITS sequences confirmed the distinctiveness of this new species.
Human-in-the-Loop Consensus Control for Nonlinear Multi-Agent Systems With Actuator Faults

This paper considers the human-in-the-Ioop leader-following consensus control problem of multi-agent systems (MASs) with unknown matched nonlinear functions and actuator faults. It is assumed that a human operator controls the MASs via sending the command signal to a non-autonomous leader which generates the desired trajectory. Moreover, the leader's input is nonzero and not available to all followers. By using neural networks and fault estimators to approximate unknown nonlinear dynamics and identify the actuator faults, respectively, the neighborhood observer-based neural fault-tolerant controller with dynamic coupling gains is designed. It is proved that the state of each follower can synchronize with the leader's state under a directed graph and all signals in the closed-loop system are guaranteed to be cooperatively uniformly ultimately bounded. Finally, simulation results are presented for verifying the effectiveness of the proposed control method.
The Opinions of Prospective Teachers on Using Folk Songs in Social Studies Teaching

The social studies course is one of the most appropriate courses for individuals to acquire social and cultural experiences and to have knowledge and experience in these subjects. The social studies course contains a lot of knowledge, skills, and values to enable the individual to know himself and gain a social identity. It is seen how a society expresses its feelings and emotions at different times, on sad or happy days through folk songs, which have an essential place among the literary products used in the course. This study, which aimed to determine the opinions of the prospective social studies teachers regarding the use of folk songs in social studies courses, was carried out with 16 prospective social studies teachers. In this study, a semi-structured interview form was used to collect data. Explanatory and inferential codes that emerged during the analysis were used to explain the qualitative data and relationships. In line with the data obtained, prospective teachers stated that they found the use of folk song-supported teaching activities in social studies teaching useful in ensuring permanence, drawing students' attention, and being fun. They also expressed that it has benefits such as giving an idea about our national culture, presenting values to students, increasing intelligibility, ensuring that traditions and customs are conveyed from generation to generation, and providing students with different perspectives.
Study of the Damage Threshold of Optical Surfaces of High-Power Energy Pulse Lasers with Changing Coefficient of Optical Surface Roughness, and the Damage Threshold is increased by Thermal Treatment of Optical Glass

This paper presents the measurement of the laser Threshold damage of an optical surface at different roughness coefficients. The study procedure is achieved through the manufacturing of two types of parallel-sided borosilicate plate (Glass Bk7, and SF13). The Laser used is ND: YAG pulsed laser and the longitudinal mode TEM00 laser pulses with pulse width τ =30ns and wave length λ=1. 064μm, the laser beam is focused using F=30 mm lens. The concentrated laser beam is guided by a converging lens towards the optical surface of the parallel surface plate. Finally, we obtained a graph of roughness coefficient is drawn in relation the optical Threshold Damage of the optical surface, Before and after processing the optical surface. We were able to raise the threshold by about 15% after conducting thermal treatment of the optical surface
Urban Landscapes of Power in the Iberian Peninsula from Late Antiquity to the Early Middle Ages (ULP.PILAEMA Project)

Debates surrounding late antique societies have attracted renewed interest from an archaeological perspective. Attention given to this period between the fifth and the eighth centuries reflects present-day issues closely related to urban landscapes and long-term change in the human occupation of space. The aim of the ULP.PILAEMA Project is to examine the interaction of new elites on urban life between the late Roman and early Middle Ages through the study of the main components of townscape. The project is articulated around a series of key Spanish case studies selected on the basis of the quality of their architecture and topography and the reconstructions that this evidence facilitates for late antiquity. Taken together, the examples chosen present a coherent and up-to-date perspective of how cities transformed as symbolic places. The goal of the project is to explore ways in which topographies of governance were configured and to identify urban patterns to compare with other places and regions in Western Europe. Understanding the rise of bishoprics, monasteries and official buildings and their built environment as an expression of social interactions has allowed us to explain the origins and development of early medieval centres of power in Spain.
Organic and conventional vegetables: Comparison of the physical and chemical characteristics and antioxidant activity

The objective of this research was to compare the physical and chemical characteristics and antioxidant activity of organic and conventional carrot (Daucus carota), green pepper (Capsicum annuum) and lettuce (Lactuca sativa). Five representative samples of conventional vegetables, certified organic and non-certified organic vegetables were gotten from farms and supermarkets in the city of Rio de Janeiro. The result shows that the organic carrot showed higher acidity (0.11 g % citric acid) and total sugar (5.68 g %) than those found in standard samples and certified organic ones (p 0.05). It was observed that the vitamin C levels in carrot samples levels had no significant difference between the different forms of production (p>0.05). Conventional lettuce and certified organic pepper showed higher vitamin C than the other samples (p 0.05). Carrot and green pepper, with seal certification or not, showed higher capacity to reduce DPPH than the conventional ones, this suggests that the form of cultivation has a direct relationship with the nutritional values of the vegetables. Key words: Carrot, lettuce, green pepper; organic, conventional, antioxidant activity, physico-chemical analysis.
The ‘tarrant effect’: what impact did far-right attacks have on the 8chan forum?

ABSTRACT This paper analyses the impact of a series of mass shootings committed in 2018–2019 by right-wing extremists on 8chan/pol, a prominent far-right online forum. Using computational methods, it offers a detailed examination of how attacks trigger shifts in both forum activity and content. We find that while each shooting is discussed by forum participants, their respective impact varies considerably. We highlight, in particular, a ‘Tarrant effect’: the considerable effect Brenton Tarrant’s attack of two mosques in Christchurch, New Zealand, had on the forum. Considering the rise in far-right terrorism and the growing and diversifying online far-right ecosystem, such interactive offline-online effects warrant the attention of scholars and security professionals.
Quantification of re-refined engine oil bottoms (REOB) in asphalt binder using ATR-FTIR spectroscopy associated with partial least squares (PLS) regression

Re-refined Engine Oil Bottoms (REOB) has been used in recycled asphalt materials for flexible pavements in recent decade, due to its effects on softening aged binder and relatively low cost. However, concerns on the pavement performance of those materials including REOB in asphalt binders have been reported and linked to the use of REOB. Consequently, methods for detecting and quantifying REOB in asphalt binders have seen increased interest to control the use of these recycled oils. This study is for the first time to introduce the use of the Partial Least Squares (PLS) regression in Attenuated Total Reflection-Flourier Transformed Infrared (ATR-FTIR) spectroscopy analysis of asphalt binders for determining REOB content. The PLS regression analysis gives the advantage of using the whole ATR-FTIR spectroscopy of REOB blends. The results show that an accurate prediction model can be derived by using the PLS regression analysis on the ATR-FTIR spectra of REOB blends.
Out of sight, out of mind? (In)visibility of/in platform-mediated work

With platforms accounting for 1–3% of paid work in advanced economies, discussions on their impact on labor are proliferating. Focusing on commercial platforms providing intermediation to a workforce available on-demand, we further systematize the field by approaching platform-mediated work through the lens of (in)visibility. We map four basic forms of platform-mediated work against three variations of (in)visibility: (1) perceptible, (2) institutional, and (3) individual, and discuss the implications through the stories of three protagonists of platform workers. The suggested meta-analysis tool for understanding the mechanism of rendering platform workers obscure exposes who is recognized as a worker, what is recognized as work, and how these questions are negotiated in a platform-mediated digital space. As such, the framework provides a joint space for the discussions of the core issues of the field—from regulation and uncertainties of platform employment, through exacerbating vulnerabilities of workers, to surveillance and self-governance.