Miracle-dz/UniFAR-FTUs huggingface dataset:
Bridging the Savings Gap: Evidence from a Field Experiment in Malawi

This study examines evidence from a randomized controlled trial of a novel financial services intervention designed to spur savings uptake in rural areas of the developing world. The sample includes more than 2,000 households from 325 villages in rural Malawi. Results show that an information treatment consisting of periodic village visits from a trained bank staff person significantly increased adoption and use of savings accounts. The findings also show important impact heterogeneities along dimensions such as education level, remoteness of village, and gender of household head, as well as positive spillover effects onto account uptake at other financial institutions. Further analysis reveals active account use among adopters. These findings confirm recent suggestions from survey evidence on an important role played by “soft” barriers to financial inclusion (e.g., low information and trust) and provide insights on how such barriers can be overcome.
The relevance of the human resource management (HRM) to lean in the service sector: evidence from three exploratory case studies

The aim of this research is to explore the relevance of the Human Resource Management (HRM) to lean in the service sector. In particular, the focus is to further understand the HRM bundle which is one of the four main bundles of lean: Just-In-Time (JIT), Total Quality Management (TQM), Total Preventive Maintenance (TPM), and Human Resource Management (HRM) (Pont, Furlan, and Vinelli, 2008; Shah and Ward, 2003). In this context, a bundle (whether a lean or a HRM bundle) means a set of interrelated and internally consistent practices (Pont, Furlan, and Vinelli, 2008). The study uses case study research because it allows a rich coverage of the area of investigation (Yin, 2009) via the utilisation of multiple sources of evidence (Gillham, 2000). Case study research studies a phenomenon in its real context and has the ability of reporting and documenting events in their practical nature (Yin, 2011). Its researchers’ understanding that lean influences certain HRM practices (HRM bundle); however, the degree and nature of the influence is yet to be further explored.
Experimental results of shock trains in rectangular ducts

A facility was built to investigate shock trains in a rectangular duct. A throttle valve, installed downstream of the diffuser, was used to create a hack pressure and hence a shock train, thus simulating the process that occurs in a ramjet engine. Results are presented for shock trains in a duct with a rectangular cross section. The shock train length is correlated to the conditions at the start of the shock train and the pressure rise achieved through the shock system. Two different step heights were used to determine the effect that the scramjet injectors will have on the ramjet isolator performance. Instream pitot and cone static pressure surveys were made downstream of the shock train. NOMENCLATURE R e g -
Investigating the Awareness of Patient Rights based on the Patient's Rights Charter among Patients Referring to Teaching Hospitals of Mashhad University of Medical Sciences, Mashhad, Iran

Background: In order to ensure the quality of healthcare services, it is inevitable to observe medical ethical standards and patient rights. We aimed to determine the level of awareness of patients' rights based on PRC among patients referred to the teaching hospitals of Mashhad University of Medical Sciences, Iran.Materials and Methods: This cross-sectional study was performed on 43 patients admitted to two teaching hospitals in Mashhad, Iran. Data were collected using a two-part questionnaire including demographic characteristics and the inventory of patients’ rights observance. Statistical analysis was performed using descriptive statistics and independent t-test, chi-square, Spearman correlation coefficient and ANOVA in SPSS ver. 16.Results: The mean ± SD of the age of the research subject was 26.5 ± 9.83 years. A total of 37.2% of the participants had moderate awareness of patient rights. The highest observance of the patient's rights was related to the area of respecting the patient’s privacy and confidentiality, which was evaluated as excellent by 41.9% of research subjects. The lowest observance of the patient's rights was related to the optimal provision of health services to patients, which was poor in 39.2% of the research subjects. There was no significant relationship between demographic characteristics (age, gender, education, number of hospitalization days, and patients’ place of residence) with observance of patient rights (P>0.05). Conclusion: In the present study, patients did not have an optimal awareness of PRC in most related areas. Therefore, it is suggested that more detailed regulatory policies be developed and implemented to ensure the provisions of the Patients’ Rights Charter as well as educational programs to promote patient awareness in this area.
Telepresence Effects on the Relationship of Velocity to the Psychological Experience of Speed

This study examines potential mappings between the subjective experience of speed when mediated through visual display devices and the physical velocity of a vehicle, especially when the apparatus for experiencing speed and the actual vehicle are not in the same scale. Such mappings are important for creating psychological reality in telepresence environments, such as a driving simulator. Subjects made magnitude estimations of perceived speed by watching video clips of forward motion taken from vehicles of two different heights. A 2.625:1 ratio in “virtual” eyeheights was approximately maintained in the magnitude estimates, indicating that speed is experienced as a scaled quantity relative to virtual eyeheight. When magnitude estimates for the lower virtual eyeheight were scaled, perceived speed at that height could be predicted for any actual velocity in this experiment. Building on this knowledge, telepresence designers must account for the scale factor in predicting other behaviors such as distance for braking and turning the vehicle.
Screening of Secondary Metabolites in <i>Artemisia annua</i> as Potential Inhibitors of Coronavirus Proteases by <i>in silico</i> Approaches

To date, no specific drug has been proven to treat COVID-19. It encourages people to use medicinal plants to treat or protect themselves against these diseases. Artemisia annua is one of the promising plants that have already been used in coronary disease. However, the antiviral compounds present in this plant remain poorly known. In this study, we aimed to identify some of these molecules by in silico approach. During the screening, 102 secondary metabolites of Artemisia annua were selected and the two viral proteins 3CLpro and PLpro of SARS-CoV2 were selected as targets. Then, a preliminary analysis was performed to determine the inhibition capacity of these phytoligands for the two viral proteins. Then, the phytoligands with stronger interaction energy with these target proteins were selected and their physicochemical properties and ADMET profile were analyzed. Consequently, 13 molecules of Artemisia annua, namely Apigenin, Axillarin, Crysoeriol, 8-Hydroxygalangin, Isorhamnetin, Kaempferol, Luteolin, Luteolin-7-methyleter, Quercetagetin-3-4-dimethyleter, Quercetagetin-3-4-dimethyleter, Quercetin-3-methyleter, Quercetin, Rhamnetin, and Tamarixetin can inhibit the two proteases of SARS CoV2. They also have a good physicochemical profile and an ADMET property in the human. These molecules may be compounds promoting an antiviral treatment in Artemisia annua. To complete these results, in vitro tests are necessary.
Studies on the electrochemical reduction of carbon dioxide and nitrite

In recent years the topic climate change has been becoming increasingly important and the need of solutions for decreasing use of fossil fuels and reduction of greenhouse gases such as carbon dioxide in the atmosphere is more and more urgent. The introduction of new technologies in the near future is unavoidable as global warming is proceeding at an unprecedented rate. Renewable energy sources such as solar power or wind power must be made more cost-effective and the storage of the electricity generated must be improved. In this work the electrochemical reduction of carbon dioxide (CO2RR) was investigated as a promising technology for the future that could effectively reduce carbon dioxide (CO2) emissions. Not only can this technique be performed under low-cost ambient conditions but also water and CO2 which are the two precursors are abundant. Furthermore, if a copper-based catalyst is used, C2+ oxygenates, carbohydrates or other carbon compounds can be produced which can be further processed in industry or used as storage for excess renewable electricity from solar and wind power. The first topic in this work was to study the copper nanocubes while providing controlled mass transport conditions with a gas-tight rotation cell where a rotating cylinder electrode is integrated. This catalyst can produce C2+ products with a high activity and lower onset potential. However, there is still no explanation where this effect has its origin. By comparing the experimental results to those obtained by Rüscher [1] on polycrystalline copper, it was found that the enhancement is caused by the nanoporous system. A higher pH value prevails in the pores and the residence time of the intermediates is prolonged, which are perfect conditions for C-C coupling. Furthermore, we were able to gain a better understanding of the catalytic mechanism. Secondly, the design of a catalyst that shows the ability to produce urea during the simultaneous electrochemical reduction of CO2 and NO2 was attempted. Several catalysts based on copper or titanium were investigated but no successful result was achieved and therefore more materials have to be tested in the future. Nevertheless, the copper nanocubes have been shown to also exhibit high selectivity and activity for the electrochemical reduction of NO2 to ammonia.
Comparing tractive performance of steel and rubber single grouser shoe under different soil moisture contents

Steel and rubber are two kinds of materials which are often used for the tracks of off-road vehicles. The objective of this study was to compare tractive performances of steel and rubber grouser shoes under different soil moisture contents. In this study, the tractive performance of single grouser shoe was predicted by soil parameters and three-dimensional shearing model. The soil used in this study was clay soil, and ten different soil moisture contents ranged from 8.58% to 54.36% were applied for investigation of soil parameters. For each soil moisture content, the penetration test, direct shearing test, density and soil moisture content measurement have been performed to obtain the required soil parameters. The experimental results showed that thrust and running resistance of steel single grouser shoe had similar trends to those of rubber single grouser shoe. The thrust of rubber single grouser shoe was always greater than that of steel single grouser shoe with the increase of soil moisture content, and as well as the running resistance. However, the traction of rubber single grouser shoe had a different trend to that of steel single grouser shoe. The traction of steel single grouser shoe was always greater than that of rubber single grouser shoe at any given moisture content except at the stage of less than 15% moisture content. From the experimental results, it can be concluded that the steel single grouser shoe performed better than rubber single grouser shoe in traction for the soil used in this study. Keywords: steel grouser shoe, rubber grouser shoe, soil moisture content, tractive performance, running resistance, tracked vehicle DOI: 10.3965/j.ijabe. 20160902.1688 Citation: Ge J, Wang X L, Kito K. Comparing tractive performance of steel and rubber single grouser shoe under different soil moisture contents. Int J Agric & Biol Eng, 2016; 9(2): 11－20.
An Inequality on the Capacity Region of

The effects of multiaccess sources and time varying multipath are considered in analyzing a system in which multiple sources communicate with a fixed base station. We discuss detection and the use of stripping in a multiaccess multipath environment. We finally derive a capacity for these systems. It turns out that CDMA type systems are inherently capable (theoretically) of higher rates than systems such as slow frequency hopping that maintain orthogonality between users.
A Proposed Framework of Next Generation Supply Chain Management Using Big Data Analytics

Over last few years the definition of competitive strategy has been substantially modified due to the rapidly changing nature of global market and the technology revolutions. Data driven supply chain management has become one of the competitive advantages for organizations as it helps in integration of all the activities across the entire supply chain. It also enables organizations to take informed strategic decisions while mitigating risks in uncertain business environment. Data is being generated from every stage of a supply chain resulting in gigantic volume of data having diverse nature ranging from transactional data to subjective opinions of the customers. Analytics plays a significant role in handling ‘Big Data’ today and will be of increasing importance tomorrow. This paper attempts to identify the sources of data generation, the nature and the volume of the data being generated, the consumption of the data in a typical next generation supply chain. Furthermore, it also examines the effect of big data on supply chain and the role of analytics in extracting useful information which can be suitably leveraged for achieving more efficiency and robustness in supply chain operations. A brief discussion on future scope of work is also included.
Study on Technical Superiority of Industrial Waste in Making Soft-soil Harden Agent

The soil samples are stabilized by harden agent prepared mainly with industrial waste residue which can produce cementitious hydrates,expansible hydrates or alkalinity designed according to a new model of structural formation of stabilized soil,contrasting the strength of the stabilized soil with one of cement-stabilized soil,The experiment results prove that using the industrial waste residue as the component of harden agent can change the properties of the hydrate-stabilized soil,and get higher compressive strength than cement.
Quality Dimensions of Narrowband and Wideband Speech Transmission

The study presented in this paper aims at exploring the perceptual spaces evoked for users of two different telephone scenarios: traditional narrowband speech transmission, and mixed narrowband/wideband speech transmission that may be encountered in today's Voice-over-IP services. Underlying dimensions that constitute the skeleton of these spaces are revealed by auditory experiments, following two different paradigms of judgment: a) Similarity-scaling, and b) Attribute-scaling (Semantic Differential) with subsequent a) Multidimensional Scaling, and b) Principal Component Analysis of a diverse set of stimuli. Similar configurations are obtained which are unequivocally interpretable. Three common dimensions, valid for both the narrowband and the wideband scenario can be identified: "Discontinuity", "Noisiness", and "Coloration". In addition, the wideband space is extended by a further, wideband-specific dimension. Integral listening-quality can well be modeled by means of these dimensions. In both scenarios, "Discontinuity" represents the most important quality feature. The presented work forms the basis for instrumental diagnostic quality measures.
Problematizing people management practices: a critical realist study of knowledge sharing

ABSTRACT Within the field of Human Resource Management (HRM), it is assumed that people management practices, including teamworking and cultural initiatives, enable knowledge sharing because they encourage employees to work collaboratively. Perhaps less well understood are occasions when such efforts fail to deliver knowledge sharing arrangements. Here we employ the critical realist concept of emergence to situate the introduction of people management practices in support of knowledge sharing, to examine how such efforts create the emergent properties to either share or not to share knowledge. Then we refine the critical realist concept of communicative reflexivity to explain why employees decide to engage or withdraw from collaborative work. By focusing on reflexivity as not just an ‘internal dialogue’ but also as an ‘external conversation’ we demonstrate why the situated circumstances of work interactions is a significant form of mediation between social contexts and practice in support (or not) of knowledge sharing.
Physicochemical Properties of Jelly Candy Made with Pectin from Red Dragon Fruit Peel in Combination with Carrageenan

Jelly candy is a product with a soft and chewy texture due to a gelling agent such as pectin and carrageenan. Red dragon fruit peel widely uses as natural pectin in various products, one of which is jelly candy. However, the resulting product has a less chewy texture. Thus, combining the natural pectin and carrageenan is expected to improve jelly candy’s physicochemical characteristics. Moreover, in jelly candy products, the combination of carrageenan with red dragon fruit peel pectin have not been applied. The methods in this research consisted of extraction of red dragon fruit peel and jelly candy making. This study uses completely randomized design with two factors: the concentration (3.5%, 4%, 4.5%) and ratio (2:1, 1:1 and 1:2) of red dragon fruit pectin and carrageenan. The jelly candy obtained were observed for its texture, color and moisture content. Hardness, cohesiveness, gumminess and chewiness were analyzed to determine the texture of jelly candy. The result showed a combination of red dragon fruit peel pectin and carrageenan within a ratio of 2:1 at 4.5%, selected as the best ratio and concentration in making jelly candy. The jelly candy had a hardness value of 421.59±7.94 g, cohesiveness 0.39±0.01, gumminess 122.22±2.77, chewiness 117.54±2.61, lightness 32.39±0.16 and moisture content 45.83±2.68%. This study provides new insight into gelling agents used to produce jelly candy and the effect on the physicochemical characteristics of jelly candy product.
Transformational leadership style and organizational commitment in pandemic Covid-19

International bank and other monetary institution suffer the most spectacular deterioration because banks are the party of mediator between borrowers and lenders (Emmons & Neely, 2020) . Banks are at the heart of the Euro area crisis (CEPR 2015). During this pandemic many enterprises suffer in financial difficulties, almost all companies borrowed to banks as part of the business (Yilmazkuday, 2020) . In order to solve this problem, one of the efforts is to increase organizational effectiveness, because rising the goals of organizational effectiveness will be achieved properly. However, this act is not easy to do because of the problems that employee often face in the organization. Generally, this research aims to prove empirically about the contribution of transformational leadership toward organizational commitment. The population of this research are the employees of conventional bank in Semarang city, Central Java province, Indonesia. Random sampling is employed in this research in order to obtained 198 respondents. The analytical tool used in this study is Statistical Package for the Social Science (SPSS). Based on the hypothesis show that simultaneously idealized influence, intellectual stimulation, inspirational motivation and individualized consideration variables are proven a significant positive effect toward organizational commitment. However, partially based on the hypothesis show that inspirational motivation and individualized consideration have significant positive effect toward organizational commitment. However, idealized influence and intellectual stimulation have no effect toward organizational commitment. The limitation of this research is that R square value is low, which is 37.4%. The implication of this research is the importance of transformational leadership to increase organizational commitment during this COVID-19 outbreak.
Pelaksanaan Kurikulum PPKn pada Kondisi Khusus Pandemi Covid-19

Penelitian ini bertujuan untuk mengetahui pelaksanaan kurikulum PPKn pada kondisi pandemi COVID-19. Adapun metode penelitian yang digunakan dalam penelitian yaitu menggunakan metode penelitian kualitatif dengan data diperoleh dari data primer dan sekunder. Studi dokumen menjadi teknik pengumpulan data utama, selain itu, penelitian ini menggunakan teknik studi literatur. Studi dokumentasi merupakan teknik pengambilan data yang diperoleh dari dokumen. Data yang sudah terkumpul dianalisis secara kualitatif menggunakan model interaktif dan dianalisis kemudian disajikan secara deskriptif, sehingga dihasilkan paparan bersifat deskriptif kualitatif. Hasil penelitian menunjukkan bahwa pelaksanaan kurikulum PPKn dimasa pandemi saat ini memberikan tantangan juga peluang untuk mengembangkan suatu metode dan formula yang tepat dalam proses pembelajaran yang aktif, kreatif dan inovatif. Pembelajaran PPKn kondisi khusus pandemi COVID-19 harus diawali dengan asesmen diagnostik agar teridentifikasi kompetensi, kekuatan, kelemahan peserta didik sehingga pembelajaran PPKn dapat dirancang sesuai dengan kompetensi dan kondisi peserta didik.
A Zero-Trust Methodology for Security of Complex Systems With Machine Learning Components

Fuelled by recent technological advances, Machine Learning (ML) is being introduced to safety and security-critical applications like defence systems, financial systems, and autonomous machines. ML components can be used either for processing input data and/or for decision making. The response time and success rate demands are very high and this means that the deployed training algorithms often produce complex models that are not readable and verifiable by humans (like multi layer neural networks). Due to the complexity of these models, achieving complete testing coverage is in most cases not realistically possible. This raises security threats related to the ML components presenting unpredictable behavior due to malicious manipulation (backdoor attacks). This paper proposes a methodology based on established security principles like Zero-Trust and defence-in-depth to help prevent and mitigate the consequences of security threats including ones emerging from ML-based components. The methodology is demonstrated on a case study of an Unmanned Aerial Vehicle (UAV) with a sophisticated Intelligence, Surveillance, and Reconnaissance (ISR) module.