Miracle-dz/UniFAR-FTUs huggingface dataset:
Conceptualizing Challenges to Electronic Human Resource Management (e-HRM) Adoption: A case of Small and Medium Enterprises (SMEs) in Tanzania.

--Most of the Small and Medium-sized Enterprises (SMEs) in the developing countries are yet to espouse and witness the full potential of electronic Human Resource Management (e-HRM) in their business operations despite its popularity in the developed countries. SMEs indispensable role in economic growth regarding employment creation and their contribution to GDP is globally acknowledged. A successful adoption of e-HRM may be the catalyst for the growth of Tanzania and many developing countries. Unfortunately, the application of e-HRM by the SME sector in Tanzania lacks depth and has been scrimpy. Numerous reasons and factors account for the low adoption rate of e-HRM by Tanzanian SMEs. This study aspires to address this scantiness by investigating e-HRM adoption to overcome the barriers that confront the SME sector in their quest to adopt e-HRM. Financial barrier was the most relevant among the five group of barriers. However, technical and Internet security prove to impede the adoption too. Thus to stimulate the adoption of e-HRM to increase productivity and enhance global competiveness, stakeholders and the government should invest in e-HRM and its components. Specifically, the paper delineates challenges of e-HRM adoption. A systematic desk review presents the evolution of prominent TAM model to fit contextual requirements and research advancement. This review thus culminates in a synthesized conceptual framework useful in research on e-HRM in the SMEs. Keywords---Challenges, e-HRM, SME, adoption _________________________________________________________________________________________________
The Rise of State-Owned Investors: Sovereign Wealth Funds and Public Pension Funds

State-owned investors (SOIs), including sovereign wealth funds and public pension funds, have $27 trillion in assets under management in 2020, making these funds the third largest group of asset owners globally. SOIs have become the largest and are among the most important private equity investors, and they are key investors in other alternative asset investments such as real estate, infrastructure, and hedge funds. SOIs are also leaders in promoting environmental, social, and governance policies and corporate social responsibility policies in investee companies. We document the rise of SOIs, assess their current investment policies, and describe how their state ownership both constrains and enhances their investment opportunity sets. We survey the most impactful recent academic research on sovereign wealth funds, public pension funds, and their closest financial analogs, private pension funds. We also introduce a new Governance-Sustainability-Resilience Scoreboard for SOIs and survey research examining their role in promoting good corporate governance. Expected final online publication date for the Annual Review of Financial Economics, Volume 13 is November 2021. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Implication of Future Time Perspective and Hope on the Continuance Commitment of Hotel Employees

In the Indonesian hotel industry, high employee turnover rates are very common costly. One of the reasons that causes hotel employee turnover to be high is low commitment. The low commitment is triggered by the low hope of hotel employees to remain and to be committed to continuing their careers in the hotel where they are working today. Employees need certainty about their future that should be guaranteed by hotel management. This study tries to analyze the role of Future Time Perspective (FTP) and its effect on hope and continuance commitment. The data were derived from distributing questionnaires to hotel employees spread in 45 three-star hotels in Surabaya, and subsequently analyzed using the General Structured Component Analysis (GSCA) tool. The results show that FTP influences hope and continuance commitment significantly. Similarly, hope has a significant effect on continuance commitment. Hope is also able to act as a mediator between FTP and continuance commitment.
Research of the Influence of the Grid Density of Injection Wells on the Gas Extraction Coefficient When Injecting Carbon Dioxide into Reservoir

The object of research is gas and gas condensate reservoirs developed under the conditions of the manifestation of the water pressure mode of development and the negative effect of formation water on the process of natural gas production. In order to improve the existing technologies for the development of natural gas fields in the conditions of the manifestation of a water-driven mode of development of productive reservoirs, a study was carried out using the main tools of hydrodynamic modeling Eclipse and Petrel from Schlumberger (USA). On the basis of a three-dimensional digital model of gas condensate, the influence of the density of injection wells on the coefficient of natural gas extraction during the injection of carbon dioxide into productive reservoirs on the verge of a gas-water contact was investigated. The study was carried out for a different number of injection wells (4, 6, 8, 12, 16 wells), which are evenly spaced along the perimeter of the initial gas-water contact. According to the results of the calculations, it was found that the production of formation water decreases with an increase in the density of the well grid. In the case of using 4 wells to inject carbon dioxide into a productive reservoir, the accumulated production of formation water at the end of development amounted to 169.71 thousand m3. With an increase in the number of injection wells to 16 units, the accumulated production of produced water decreased to 0.066 m3. This result is achieved due to a more complete coverage of the perimeter of gas content with carbon dioxide and the creation of an artificial barrier between water and natural gas, which leads to a more effective blocking of the movement of produced water into productive reservoirs. According to the results of statistical processing of the calculated data, the optimal value of the number of injection wells was determined when injecting carbon dioxide into the reservoir. The optimal value of the number of injection wells at the time of the breakthrough of carbon dioxide into the first production well is 7.86 (8) wells. The maximum value of the number of injection wells according to the results of statistical processing is 6.8 (7) wells. The final gas recovery ratio for the given optimal injection value is 61.88 %. On the basis of the calculations, the technological efficiency of using as an agent for injecting carbon dioxide at the boundary of the gas-water contact was established in order to prevent selective watering of productive reservoirs and production wells.
Method for calculating the electronic structures of large molecules; helical polymers

We present a self‐consistent one‐electron scheme for calculating ground‐state properties of large systems with complex boundaries. It is based on linear muffin‐tin orbitals (LMTO’s) and the density functional formalism in its local approximation. A multiple‐κ LMTO basis set is used. No shape approximations, neither for the potential nor for the charge density, are made. Outside the spheres the charge density is fitted to a series of atom‐centered Hankel functions and the two‐ and three‐center integrals used for the overlap and Hamiltonian matrices, as well as for the charge density fit, are performed analytically. Inside the spheres the non‐muffin‐tin part of the charge density is treated by spherical‐harmonics expansions. It is shown how the method can be applied to helical polymers. Test calculations on the N2 molecule are reported.
Theoretical study of carbon nanotubes adsorbed on the silicon (100) surface, and, Explorations on the modulation of conductance for metallic carbon nanotubes

We present the first ab initio study of semiconducting carbon nanotubes adsorbed on the unpassivated Si(100) surface. A dramatic reduction of the semiconducting gap for these hybrid systems as compared with the electronic gaps of their isolated constitutive components was found. This is caused by the changes in the electronic structure as the surface reconstructs due to the tube’s proximity, the concomitant electronic charge transfer from the nanotubes, and the band hybridization with silicon and carbon states resulting in the appearance of states within the energy gap of the formerly isolated nanotube. It is determined that semiconducting nanotubes exhibit weaker adsorption energies and remain at a greater distance from the Si(100) surface as compared to metallic nanotubes of similar diameter; this may be useful for the solid-state separation of metallic and semiconducting nanotubes. The electrostatics and band alignment of carbon nanotubes adsorbed in the fully passivated Si(100) surface have also been investigated. Spectral data indicate a relative displacement, depending on the type of doping, of the surface’s band edges from those of adsorbed nanotubes, and this is confirmed by the ab initio calculation of semiconducting nanotubes on the Si(100):H-2×1 surface. A markedly different spatial charge redistribution occurs depending on the dopant specie involved. Finally, and in a different direction, we calculate the effects of a longitudinal electrostatic perturbation on a metallic carbon nanotube to demonstrate conductance modulation. The external modulation would be screened in bulk metals but occurs in nanotubes because of their quasi two-dimensional shape allowing electrons to interact with nearby charges. This modulation is determined by the strength of the self-consistent potential and its periodicity over shorter or longer distances. We employ the zero temperature single-particle Green’s function transport approach in the empirical tight-binding approximation to quantify the conductance.
Finite Element Analysis of Built-Up T Stub under Blast Loading

Introduction T-stub connection with hot rolled T stub is popularly used in steel structures because of its high flexural resistance. Recently, an alternative approach, built up T stub has gained attention owing to its freedom of sizing and material use. The behaviour of built up T stub under monotonic [1, 2] and cyclic loading [3] have already been studied but response under blast loading is yet to be explored. Accordingly, Present study aims to evaluate the performance of built up T stub under blast load through finite element analysis.
Static and dynamic properties of polymer brushes at moderate and high grafting densities: A molecular dynamics study

We study static and dynamic properties of polymer brushes of moderate and high grafting densities using molecular dynamics simulations. The self-consistent-field theory is able to reproduce the observed density profiles once finite extensibility of the chains is included. A similar approach, using a Langevin-type model to account for a coupling between the vertical and lateral chain fluctuations, is successfully implemented to explain the lateral chain fluctuations at moderate-to-high grafting densities. The corresponding fluctuation dynamics in the direction lateral to the surface is well described by Rouse scaling. The dependence of the dynamics on grafting density (concentration) is very well described by the dynamic behavior of thermal blobs for the fluctuations in the direction both perpendicular and parallel to the surface. We find an anisotropic fluctuation dynamics related with two characteristic dynamic length scales in the both directions. We have further investigated the pulling forces acting o.
Kangaroo Mother Care and Swaddling Methods In Low Born Weight Babies In Community Settings: A Systematic Review

Infants born with low birth weight or LBW are very susceptible to hypothermia due to the thin fat reserves under the skin and immature heat regulating centers in the brain. Some alternative treatments to stabilize LBW body temperature, namely the Kangaroo Mother Care and Swaddling Methods. The preparation of this systematic review is to determine the application of Kangaroo mother care and self-help in the community. Methods: in preparing this systematic review using descriptive analysis, JBI protocol guidelines, and analysis of the PICOS framework. The search for articles consisted of five databases, namely Scopus, Science Direct, PubMed, Garuda, and Proquest using the keywords Medical Subject Healing (MeSH) which were then described in a flow diagram. The risk of bias in studies was avoided by using the JBI Critical Appraisal. Analysis of 25 articles on kangaroo mother care and self-care showed that kangaroo mother care can keep the baby's body temperature stable and reduce the risk of hypothermia in newborns with low weight and make it easier for the baby to breastfeed. Unlike the swaddling method, this method does not have a significant impact on the stability of the baby's body temperature or the baby's weight. This systematic review shows that the kangaroo mother care method has a more significant impact on baby weight gain and the stability of the baby's body temperature by maintaining skin to skin contact between mother and baby for later implementation in the community. This method is more effective than the swaddling method.
Highly efficient organic multi-junction solar cells with a thiophene based donor material

The efficiency of organic solar cells can be increased by serial stacked subcells even upon using the same absorber material. For the multi-junction devices presented here, we use the small molecule donor material DCV5T-Me. The subcell currents were matched by optical transfer matrix simulation, allowing an efficiency increase from 8.3% for a single junction up to 9.7% for a triple junction cell. The external quantum efficiency of the subcells, measured under appropriate light bias illumination, is spectrally shifted due to the microcavity of the complete stack, resulting in a broadband response and an increased cell current. The increase of the power conversion efficiency upon device stacking is even stronger for large area cells due to higher influence of the resistance of the indium tin oxide anode, emphasizing the advantage of multi-junction devices for large-area applications.
SENTIMENT ANALYSIS TECHNIQUES TO ANALYZE HSE SITUATIONAL AWARENESS AT OIL AND GAS PLATFORMS USING MACHINE LEARNING

- Health Safety & Environment (HSE) situational awareness is a very important aspect of any risky workplace. Negligence in complying with HSE policies and practices might lead to unwanted incidents, critical injuries, death, spread of diseases and environmental pollution. In most corporations, information on HSE related incidents is disseminated through formal channels such as reports. Employees on the other hand frequently use social media to share, complain and discuss HSE-related issues. The issues are discussed through an informal platform, it is difficult to analyze opinions for further action. Therefore, this study will investigate existing sentiment analysis models and formulate a suitable sentiment analysis model using machine learning technique. Through literature review, Naïve Bayes model was found to be the most efficient text classification in sentiment analysis. This technique still needs further enhancement as the accuracy is not within requirement. Upon enhancing the Naïve Bayes model, a better outcome can be attained.
Teachers’ Strategies in Developing and Measuring Students’ Communication Skills

Abstract A good communication skill is one of the capabilities that must be mastered by students to be able to socialize, adapt, and compete with others in the scope of school and social life in the 21st century. The purpose of this type of descriptive qualitative research was about to describe the teachers' strategies in developing and conducting an assessment related to the communication skills of elementary school students in Indonesia. Data were obtained through interviews with 10 elementary school teachers in Yogyakarta Province. Data analysis was performed through applying data analysis steps proposed by Bogdan and Biglen. The results showed that an effective strategy that teachers could use to develop students' communication skills was through discussion and presentation methods. Meanwhile, the assessment of students' communication skills is integrated to cognitive, affective, and psychomotor assessments both in terms of instruments and time of assessment. This was resulted from various limitations originating of the teacher and the availability and completeness of school facilities and infrastructure that supports the implementation of various kinds of assessment. Keywords: assessment, communication skills, elementary school students. Abstrak Keterampilan komunikasi yang baik adalah salah satu kemampuan yang harus dikuasai oleh siswa untuk dapat bersosialisasi, beradaptasi dan bersaing dengan orang lain dalam ruang lingkup sekolah maupun kehidupan sosial di abad ke-21. Tujuan dari penelitian deskriptif kualitatif ini adalah untuk mendeskripsikan strategi guru dalam mengembangkan dan melakukan penilaian terkait kemampuan komunikasi peserta didik Sekolah Dasar di Indonesia. Data diperoleh melalui wawancara yang bersumber dari 10 orang guru sekolah dasar di Provinsi Yogyakarta. Analisis data dilakukan dengan menerapkan langkah-langkah analisis data yang dikemukakan oleh Bogdan dan Biglen. Hasil penelitian menunjukkan bahwa strategi efektif yang dapat digunakan guru untuk mengembangkan kemampuan komunikasi siswa adalah melalui pembelajaran diskusi dan presentasi. Sedangkan penilaian kemampuan komunikasi siswa dilakukan secara terintegrasi dengan penilaian kognitif, afektif dan psikomotor baik dalam hal instrumen maupun waktu penilaian. Hal tersebut disebabkan oleh berbagai keterbatasan yang berasal dari guru dan ketersediaan serta kelengkapan sarana dan prasarana sekolah yang mendukung keterlaksanaan berbagai macam penilaian. Kata kunci: penilaian, kemampuan komunikasi, siswa sekolah dasar.
GLANCE ON VARIOUS DEEP LEARNING TECHNIQUES

: Deep learning (DL) is an area of Artificial Intelligence which has been a part of digitalization solutions that has a major attention in the digital field. This review paper provides a brief overview of deep learning algorithms which are the most popular like, Auto-Encoders, Convolutional Neural Network (CNN), Deep Belief Networks (DBN), Long Short-Term Memory Networks (LSTMs), Restricted Boltzmann Machine (RBM) and Recurrent Neural Networks (RNNs), A brief account of their history, structure, advantages, and limitations is given, followed by a description of their applications, such as object detection, face recognition, action and activity recognition, and human pose estimation. Finally, a brief overview is given of future directions in designing deep learning schemes and the challenges involved within.
Nanomedicines: Nano based Drug Delivery Systems Challenges and Opportunities

Nanomedicine and nano delivery systems, although relatively recent but fast-developing technology is one where nanoscale materials are used to function as diagnostic tools or to deliver therapeutic agents to specifically targeted sites in a controlled manner. It also provides many advantages in the management of human diseases. Recently, there has been a range of excellent uses of nanomedicine as chemotherapeutic agents, biological agents, immunotherapeutic agents, etc., for treatment of different diseases. In this chapter we discuss the recent developments and insights obtained in the field of nanomedicine. It provides a review of the numerous nano-based drug delivery systems that enhance the efficacy of new and old drugs. The new opportunities and challenges arising in the area of nanomedicine from therapeutic viewpoint are also addressed.
The Relationship Between Median Age and Death Cases During the Coronavirus Disease 2019 (COVID-19) Pandemic: The Mediating Role of Current Health Expenditure

Objective: This study aimed to identify and define the relationships among the median ages of countries, their death cases, and current health expenditures [percentage (%) of gross domestic product (GDP)] during the Coronavirus disease 2019 (COVID-19) pandemic : Methods: We analyzed the mediating role of current health expenditures (% of GDP) in the relationship between median age and death cases Data from 60 countries with the highest COVID-19 cases were analyzed Correlation and hierarchical regression tests were used in the analyses : Results: The effect of the median ages of countries on COVID-19 death cases was 27 5%, and on current health expenditures was 56 3% When the effect of the median age and current health expenditure variables on death cases was analyzed together, the effect of the median age was statistically insignificant and the effect of current health expenditures was 35 4% : Conclusion: It was determined that current health expenditures have a positive mediating effect on the relationship between COVID-19 deaths and the median age of countries It was determined that health expenditures did not make any strategic contribution to reducing mortality rates The results provide an original theoretical framework for countries that aim to develop national health care management strategies
Effect of Ramadan Fasting on Body Composition, Biochemical Profile, and Antioxidant Status in a Sample of Healthy Individuals

Background Muslims fast during the month of Ramadan by abstinence from food and drink every day from dawn to sunset. Studies have reported contradictory results with respect to the changes in body weight and biochemical parameters. No study has been conducted on the association between fasting and body weight and biochemical parameters in the Indian setting on healthy Muslim subjects. Objectives To assess the effect of fasting during Ramadan on biochemical parameters such as lipid profile, liver function test, renal function test, antioxidant status, random blood sugar, hemoglobin, body composition, and blood pressure in a sample of healthy individuals. Methods In this study, 52 healthy free-living participants (25 males, 27 females, 21-64 years) who met the inclusion and exclusion criteria and completed both follow-ups (before and after Ramadan) were studied. Participants were fasting 12 hours a day for at least 21 days, including menstruating women. It was a free-living study with no dietary restrictions. Anthropometry, lipid profile, liver and renal function tests were measured by standard methods. Body composition was analyzed by bioelectrical impedance. Results Significant beneficial changes in albumin, alanine aminotransferase, creatinine, and high-density lipoprotein (HDL) were observed, while total cholesterol, random blood sugar, aspartate aminotransferase, and alkaline phosphatase enzymes remained unchanged after Ramadan. Fasting did bring in some changes in body composition; among both men and women, mean weight loss ranged from 0.81 - 1.4 kg in majority of the subjects, which was due to loss in muscle mass. Moderate changes in intra- and extracellular water content was observed after fasting. Conclusions Significant improvements were observed in HDL levels and liver function tests, which can be attributed to the loss of body weight. Improvement in liver function tests may be related to the changes in cytokines and alteration in sleep patterns. Ramadan-like fasting, along with the nutritional education prior to fasting, may be beneficial and effective in the spiritual and overall well-being.