Miracle-dz/UniFAR-FTUs huggingface dataset:
The Academic and Social Life Styles of Students and Teachers of Higher Education Institutions in Bangladesh as Consequences of Using Social Network Sites.

With the emergence of social network sites (SNS), students and teachers of higher education institutions all over the world have been making efforts to meet up with the demands of these information and communication technology (ICT) tools. This paper presents the findings of a study conducted at four private universities in Bangladesh with the aim of exploring the consequences of SNS to the academic and social life styles of students and teachers of these institutions. Random sampling of students and teachers from these institutions was done to get data of the research study. Qualitative and quantitative research methods were used for the study. The findings of the study indicated that the academic and social life styles of students and teachers had several consequences due to their integration with social network sites. However, the positive consequences overweighed the negative consequences. The findings further confirmed that students easily made social interactions with friends and formulated group discussions to exchange academic ideas, and teachers also shared course related materials and assignments with their students. It may be concluded that, even though with few drawbacks, SNS has positive consequences in teaching-learning and on the social life styles of students and teachers of Bangladesh higher education institutions. The findings of the research suggested that students and teachers should continue to use SNS so as to exploit more benefits associated with them. Again as the sample of the study was so small, findings of the study may not be generalized to all Bangladesh higher education institutions.
Climate Change and Species Invasion Drive Decadal Variation in Fish Fauna in the Min River, China

Freshwater fishes are threatened by increasing environmental changes and human disturbances. The Min River, the largest river in Southeastern China, contains unique fish fauna for the Oriental realm. Due to environmental changes brought by forty years of economic growth, fish numbers have dramatically declined. The average taxonomic distinctness in the 1970s was significantly higher than that in 2015, while no significant differences were found in the variation in taxonomic distinctness between the two periods. Due to the river network and habitat diversity, fish fauna composition showed significant spatial differences but lower variation than the decadal variation. Precipitation was determined to be the most influential factor in determining the spatial pattern of fish fauna, followed by temperature. Species introduced for aquaculture have invaded the endemic fish community after escape and should be reconsidered in the trade-offs between economic development and ecological protection.
Trapping and Optomechanical Sensing of Particles with a Nanobeam Photonic Crystal Cavity

Particle trapping and sensing serve as important tools for non-invasive studies of individual molecule or cell in bio-photonics. For such applications, it is required that the optical power to trap and detect particles is as low as possible, since large optical power would have side effects on biological particles. In this work, we proposed to deploy a nanobeam photonic crystal cavity for particle trapping and opto-mechanical sensing. For particles captured at 300 K, the input optical power was predicted to be as low as 48.8 μW by calculating the optical force and potential of a polystyrene particle with a radius of 150 nm when the trapping cavity was set in an aqueous environment. Moreover, both the optical and mechanical frequency shifts for particles with different sizes were calculated, which can be detected and distinguished by the optomechanical coupling between the particle and the designed cavity. The relative variation of the mechanical frequency achieved approximately 400%, which indicated better particle sensing compared with the variation of the optical frequency (±0.06%). Therefore, our proposed cavity shows promising potential as functional components in future particle trapping and manipulating applications in lab-on-chip.
Very high energy emission of Crab-like pulsars driven by the Cherenkov drift radiation

In this paper we study the generation of very high energy (VHE) emission in Crab-like pulsars driven by means of the feedback of Cherenkov drift waves on distribution of magnetospheric electrons. We have found that the unstable Cherenkov drift modes lead to the quasi-linear diffusion (QLD), keeping the pitch angles from vanishing, which in turn, maintains the synchrotron mechanism. Considering the Crab-like pulsars it has been shown that the growth rate of the Cherenkov drift instability (ChDI) is quite high, indicating high efficiency of the process. Analyzing the mechanism for the typical parameters we have found that the Cherenkov drift emission from the extreme UV to hard $X$-rays is strongly correlated with the VHE synchrotron emission in the GeV band.
Supplementary material for “Efficient Estimation in Expectile Regression Using Envelope Model”

1 Technical Proof . 2 1.1 Proof of Lemma 1 . 2 1.2 Proof of Theorem 1 . 2 1.3 Proof of Theorem 2 . 5 1.4 Corollary . 8 2 Simulations Under Variable Selection Settings (Without Envelope Structure) . 8 3 Simulations Under Variable Selection Settings (With Envelope Structure) 10 4 Simulations Under No Immaterial Part Settings . 17 5 Analysis of “state.x77” with Predictors in Original Scale . 18 6 Prediction Performance Comparison on “state.x77” . 19 7 Simulation Results at More Expectile Levels . 20 8 Analysis of Computational Complexity of the GMM Algorithm . 20 9 Comparison Between EQR and EER . 22 10 Simulation Results for Sparse Expectile Regression Estimator with an Alternative Tuning Parameter . 27 References . 30
Spinach (Spinacea oleracea L.) Response to Salinity: Nutritional Value, Physiological Parameters, Antioxidant Capacity, and Gene Expression

Scarcity of good-quality irrigation water is a major impediment to meet food demand for a growing world population. Recycled waters may be available locally more affordably, but their higher salinity is a concern. Salinity effects on spinach mineral composition, antioxidant capacity, photosynthesis, and gene expression have not been established. Spinach cv. Raccoon was greenhouse-grown and irrigated with four levels of water salinity of electrical conductivities (ECiw) of 1.4 (control) or ranging from 3.6 to 9.4 dS m−1, combined with three levels of K (3, 5, and 7 meq L−1). Irrigation waters had 2, 20, 40, and 80 meq L−1 of NaCl. After 23 treatment days, plants significantly accumulated Na and Cl in shoots and roots with increasing salinity, regardless of the K concentration in the irrigation water. Plants exhibited no visual symptoms of salt toxicity and there were no differences in shoot growth. Plants maintained their overall concentrations of mineral nutrients, physiological parameters, and oxalic acid across salinity treatments. Leaves retained all their antioxidant capacity at 20 meq L−1 NaCl, and 74% to 66% at 40 and 80 meq L−1 NaCl, respectively. Expression analyses of ten genes, that play important role in salt tolerance, indicated that although some genes were upregulated in plants under salinity, compared to the control, there was no association between Na or K tissue concentrations and gene expression. Results clearly show that spinach maintains its growth, mineral composition, and antioxidant capacity up to ECiw = 9.4 dS m−1. As this salinity is equivalent to a soil salinity of 4.5 dS m−1, spinach can tolerate over two-fold its previously-considered salinity threshold. Thus, growers can cultivate spinach using recycled, saline, waters without detriment to shoot biomass accumulation, and nutritional value.
Heavy Metals and Proximate Composition of Forest Leafy Vegetables in Oil Producing Area of Nigeria

This work investigated heavy metals content of Forest Leafy Vegetables (FLVs) consumed in Port Harcourt, Nigeria. Fresh samples of eight commonly consumed FLV species were obtained from two major markets in Port Harcourt. FLVs were dried, digested and analysed with flame Atomic Absorption Spectrophotometer (AAS) for heavy metals. Proximate analysis of FLVs was carried out using standard method of AOAC. Concentrations of Iron (Fe) ranged from 4.69ppm (Heinsia crinata) - 8.97ppm (Gongronema latifolia), Manganese was highest in Liasanthera africana (6.03ppm) and lowest in O.gratissimum (0.45ppm) while Magnesium levels ranged from 0.609 – 1.630ppm. P.guineense accumulate highest Pb (1.004ppm) compared to Ocimum basilicum Pb (0.380ppm). Copper was highest in H.crinata (1.165ppm) and lowest in O.gratissimum (0.218ppm). O. gratissimum had lowest Cadmium (0.022ppm), Arsenic (0.003ppm), Mercury (0.002ppm) and Zinc (0.044ppm). P.guineense contains highest concentration of Chromium (3.792ppm) while H. crinata possess the lowest (0.409ppm). Nickel was highest in O.bassilicum (0.665ppm) and least in G.latifolia (0.388ppm). FLVs were rich in crude protein, fat and crude fibre. O.bassilicum (21.00%) was the richest in crude protein while H.crinata has the lowest level (11.55%). Crude fibre content of the FLVs range from 11.0% to 14.0% while fat content varied between 2.4% for O. bassilicum and 4.0% for H. crinata. FLVs sourced from natural forests in crude oil exploration areas in Nigeria is safe for consumption, since heavy metals of FLVs samples were less than maximum limits recommended by FAO/WHO. Proximate analyses showed that the FLVs possess useful nutritional contents required for healthy growth. Key Words: Forest leafy vegetables, Heavy metals, Proximate composition, Nigeria
Transformational Leadership and Knowledge Sharing: Determinants of Firm’s Operational and Financial Performance

The purpose of this study is to explore the effects of transformational leadership and knowledge-sharing processes on operational and financial performance in Chinese firms. The article applied structural equation modeling to inspect the influence of transformational leadership on knowledge sharing and their effects on organizational performance, based on the data collected from 263 respondents in 112 manufacturing and service companies in China. The findings show that knowledge collecting and knowledge donating mediate the correlation between transformational leadership and two specific aspects of organizational performance. In addition, transformational leadership has a greater influence on financial performance, whereas knowledge sharing is more significantly associated with operational performance. This article highlights the significance of practicing transformational leadership to stimulate individuals’ knowledge-sharing behaviors, which are important prerequisites for improving organizational performance. The article provides clearer understanding for scholars and practitioners about the new and effective pathway to promote firm’s operational and financial performance.
Implementation of environmental monitoring based on KAA IoT platform

Wireless sensor network (WSN) is a key to access the internet of things (IoT). The popularity of IoT and the prediction that there will be more devices connected to the Internet cause difficulties in integrating and making connected devices. The problem of IoT implementation are the lack of real-time data collection, processing, and the inability to provide continuous monitoring. To overcome these problems, this paper proposes an IoT device for monitoring environmental conditions through the IoT KAA platform that can be monitored anywhere and anytime in real time. The end device node consists of several sensors such as as temperature, humidity, carbon monoxide (CO) and carbon dioxide (CO2) sensors. The collected data from the end device node will be transmitted via a communication based on IEEE 802.15. 4 to Raspberry Pi gateway, then sent to the KAA cloud server and saved into the database. The environmental data can be accessed via a web-based sensor application. We Analize the performance evaluation in terms of transaction, availability, data transfer, response time, transaction rate, throughput, and concurrency. The experimental result shows that the use of KAA IoT platform is better than that without platform.
Heterogeneity in the trajectories of US Latine mothers’ dual-language input from infancy to preschool

We longitudinally examined the trajectories of Latine mothers’ (N = 116) language input to their children during book-sharing interactions at four points in development, when children were between ages 2 and 5 years. Mother–child dyads were video-recorded sharing a wordless picture book, and transcriptions of mothers’ and children’s language yielded word types in Spanish and English at each assessment wave. Three distinct trajectories of change in mothers’ dual-language use were identified. Some mothers shifted from Spanish-dominant input to more balanced input between English and Spanish; other mothers provided English-dominant input and used more English and less Spanish over time; and the remaining mothers were stable in their Spanish-dominant input across child ages. Mothers’ immigration background, educational level, and children’s preschool language experiences each uniquely predicted trajectories of maternal language input. In general, children showed similar trajectories as their mothers, although mismatch occurred for some dyads at the later ages. The dual-language environments of Latine children are dynamic and shaped by individual and contextual factors.
A fiber coupled cavity QED source of identical single photons

A high-fidelity source of identical single photons is essential for numerous quantum technologies such as quantum repeaters and optical quantum information processing. Hallmarks thereof are a near-unity single-photon purity, near-unity indistinguishability of consecutively emitted photons, and high brightness through a near-unity number of photons per time bin. In order to embed such sources in quantum networks, optical fiber integration is essential but complicated by cryogenic compatability and noise. Here we demonstrate a resonantly pumped, quantum dot (QD) based, transmission operated, single-mode fiber coupled single photon source with a purity of 97%, indistinguishability of 90%, and a brightness of 17%. This is achieved by deploying a unique micropillar cavity design in a closed-cycle cryostat, which is operated using a through-fiber cross-polarization technique to remove the pump laser light from the resonantly scattered single photons. These results pave the way for fully fiber integrated photonic quantum networks, as our technology is equally applicable for cavity-QED based photonic quantum gates.
Institutions or Contingencies? A Cross‐Country Analysis of Management Tool Use by Public Sector Executives

Management tools are often argued to ameliorate public service performance. Indeed, evidence has emerged to support positive outcomes related to the use of management tools in a variety of public sector settings. Despite these positive outcomes, there is wide variation in the extent to which public organizations use management tools. Drawing on normative isomorphism and contingency theory, this article investigates the determinants of both organization‐oriented and client‐oriented management tool use by top public sector executives. The hypotheses are tested using data from a large‐N survey of 4,533 central government executives in 18 European countries. Country and sector fixed‐effects ordinary least squares regression models indicate that contingency theory matters more than normative isomorphism. Public executives working in organizations that are bigger and have goal clarity and executive status are more likely to use management tools. The only normative pressure that has a positive impact on management tool use is whether public sector executives have a top hierarchical position.
ESTIMATION OF STATISTICAL CORRELATIONMEASURES FOR SPATIAL INFERENCE IN WSNS

This work shows how to obtain distributively important statistical measures such as the semivariogram and the covariogram in a Wireless Sensor Network. These statistics describe the spatial dependence of the sensed area and allow making inferences about unknown field data. In practice, these are complex measures that require global knowledge such as the distance between every pair of nodes, which is not available in a distributed scenario. Then, motivated by the distributed nature of a Wireless Sensor Network and the requirement of making estimations in many real applications, we propose a distributed method to obtain an approximation of these measures, based only on the local samples of the nodes. Our method only requires knowing, at each node, the geographic position of its neighbors. Additionally, we show that introducing random movements of the nodes, the quality of the results can be improved. Simulation results are presented to evaluate the performance of our algorithm.
Injecting security into information systems development

This paper will attempt to reconcile the apparent developmental duality (Baskerville, 1992) between Information Systems (IS) development and IS security development. IS Development and IS Security Development each have a substantial foundation of literature on their respective approaches and methodologies. livari, Hirschheim and Klein (2001) provide a dynamic framework for classifying IS development approaches and methodologies. Besides providing a method for classification, this framework demonstrates the rich history behind IS Development. Baskerville (1993) likewise provides a valuable literature history for IS security development. We believe part of the cause of the security problems that continue to plague organizations (Dhillon, 2001) is ad hoc security implementation (Baskerville, 1993). This "security after the fact" can lead to an incompatibility between the system and the security of the system. Our argument is that a theoretically grounded and methodological approach is lacking for integrating security with Information Systems Development. Classification- JEL:
Fostering Achievement of Low-, Average-, and High-Achievers Students in Biology through Structured Cooperative Learning (STAD Method)

Cooperative learning is one among the most innovative and popular strategies of learning for present century students. It is theoretically grounded and extensively researched teaching-learning practice which is believed to foster the achievement of all types of students. Since cooperative learning is in the nascent stage in India and it is not much trendy method of teaching, the investigator carried out the present study. The present study is an experimental investigation that explores the impact of the structured cooperative learning strategy (STAD method) on the achievement of low-achievers, average-achievers, and high-achievers students in biology at the secondary level. The pretest and posttest experimental design was used, and control and experimental groups are equated on the basis of pretest scores. The sample consisted a total of 63 students of ninth class students from Varanasi city. Data were collected and analyzed with t-test, and analysis of covariance (ANCOVA) was performed to test the hypotheses at 0.05 levels of significance with the use of the biology achievement test (BAT). The results revealed that students taught by the cooperative learning strategy perform better on the BAT at three levels of the cognitive domain of knowledge, understanding, and applying, than those taught using the conventional method of instruction. The study revealed that low-achievers, average-achievers, and high-achievers students of the experimental group outperform the control group. So, it can be concluded from this study that the STAD method of structured cooperative learning fosters the achievement of low-, average-, and high-achievers students in Indian context. It was therefore recommended that teachers should be encouraged to use the cooperative instructional strategy to teach biology and other subjects in secondary schools to facilitate learning of higher levels of cognitive domains to meet challenges of the twenty-first century.
Propotis merupakan salah satu sumber zat gizi aLami dan nutraceutical yang berasal dari sub strat resin yang dikumpulkan lebah dari sari tunas daun dan kulit batang tanaman yang dicampur de ngan

Indonesia has a potency to produce its own propoifs, however the propolis market in Indonesia is dominated by imported product, such as from Brazil. Currently, still there is no reasearch which evaluate bioactive compound and nutrient content of Indonesian Propolis (lP) compare with Brazilian Propolis (BP). The objec­ tives of this study were ta analyze bioactive compounds and nutrient contents of IP compared to BP. Bioactive compounds and nutrients content were analyzed by gas chromatography-mass spectrophotometry. The re­ sults showed both IP and BP contain fenol, a-amyrin, cylolanost, and pyrimidines. Biooctive compounds which specifically found in IP were eudesmane compound, ethyl acridine, lupeol, friedooleanan; while B amyrin and cinnamic acid compound only found in BP. The nutrient contents of IP were higher than BP except for vitamin A. In conclusion, IP might have potential health benefit, similar to BP.
Topological surrogates for computationally efficient seismic robustness optimization of water pipe networks

The criticality of seismic robustness of the water pipe networks cannot be overstated. Current methodologies for optimizing seismic robustness of city‐scale water pipe networks are scarce. A very few studies that can be found are also prone to long optimization runtimes due to the requirement of repeated hydraulic analysis. Hence, there is a critical need for the identification of computationally efficient surrogate optimization methods for maximizing seismic robustness of water pipe networks. To address this need, this research was conducted to identify, for the first time, computationally efficient topological surrogates for hydraulic simulation‐based optimization. The computational efficiency of surrogate optimization was measured in terms of solution quality (i.e., post‐earthquake serviceability) and computational runtime. Ten different topological connectivity metrics were evaluated out of which five were considered computationally infeasible due to their prohibitive optimization runtime. Five remaining metrics were then used to formulate five surrogate objective functions for seismic robustness of water pipe networks. Each of these functions was optimized using a simulated annealing‐based algorithm. Application of the proposed approach to city‐level benchmark networks helped to identify two metrics out of ten that offered a substantial reduction in optimization runtime with a minimal loss in solution quality. These findings will be highly valuable to water distribution network managers for identifying economical rehabilitation policies for enhancing the seismic robustness at a city‐scale within a reasonable amount of time.