Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical factors at salt licks influenced the frequency of wildlife visitation in the Malaysian tropical rainforest

Introduction Salt licks, locally known as sira or jenut, are mineral reservoirs visited by various wildlife species to regulate the concentration of salt and other essential minerals like zinc, Abstract:Mineral reservoirs or salt licks are commonly used by wildlife to regulate the concentration of salt and minerals in their bodies. Salt lick utilisation is known to be influenced by the chemical composition, but information on their physical properties, particularly vegetation surrounding the salt licks is scarce. In this study, physical factors and wildlife utilisation at two natural salt licks (SPU and SPS) located in Perak, Malaysia, were determined. Wildlife visitation data were retrieved from camera traps. SPU exhibits two reservoirs represented by rocky and clay substrate, with minimally dense vegetation dominated by hardwood species and climbers. SPS encompasses muddy topsoil, open canopy cover, with highly dense forest floor vegetation. The wildlife survey shows a higher frequency of visitation in SPS, especially by ungulates, potentially due to dense understorey foliage that provides foraging sites for these animals. SPU exhibits more diverse but less frequent wildlife species, particularly primates, carnivores, and avian groups. High emergence and closed canopy cover at this lick serve as perching sites for primates and birds, while less dense understory vegetation could aid in prey detection among carnivore. Regardless of their physical assemblages, salt licks are an essential local hotspot for wildlife, therefore, elucidating the need to prioritise conservation areas by maximising the complementarities of salt licks.
Prediction model and control method for realizing demand response

Demand response, which aims to stabilize power supply and cost of electricity, has garnered considerable research interest in recent years. It is expected to be particularly useful in smalland medium-sized office buildings, which are responsible for a large share of the total electricity consumption of an area. In this paper, we propose a method for creating a prediction model and control method for realizing demand response, and report its evaluation results.
The Design and Optimization of Synchronous Reluctance Motor Drive Sys- tem for Low-Speed Direct-Drive Mining Applications

The Synchronous reluctance machine is very attractive due to its robustness, absence of magnet, easiness to control, simplicity and passive rotor structure. This paper deals with the design and optimization of synchronous reluctance motor for mining applications at low-speed with direct-drive. Therefore, it is intended to detect the stator and rotor parameters which provide a high efficiency (91.13%) and a good average torque (959Nm). In this regard, two different rotor geometries with multiple width size of flux barriers and flux carriers have been considered in this work and their effects are proposed through finite element analysis. A suitable geometry of the rotor is proposed for further investigation and the development of prototype design. Keywords—Direct-drive, machine design, mining application, Raymond Pulverizer, surrogate-based optimization, synchronous reluctance motor
A common typology for ecosystem characteristics and ecosystem condition variables

The UN System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA) aims at regular and standardised stocktaking on the extent of ecosystems, their condition and the services they provide to society. Recording the condition of ecosystems is one of the most complex pieces in this exercise, needing to be supported by robust and consistent guidelines. SEEA EEA defines the condition of an ecosystem as its overall quality, measured in terms of quantitative metrics describing both abiotic and biotic characteristics. The main objective of this paper is to propose a simple universal classification (typology) for these ecosystem condition characteristics and metrics, based on long standing ecological concepts and traditions. The proposed SEEA EEA Ecosystem Condition Typology (SEEA ECT) is a hierarchical classification consisting of six classes grouped into three main groups (abiotic, biotic and landscape-level ecosystem characteristics). In order to facilitate practical applications, SEEA ECT is cross-linked to the most relevant existing typologies for ecosystem characteristics currently used for other purposes. To ensure clarity and practicality, we identified potential overlaps between classes and also identified the most important groups of ‘ancillary data’ that should not be considered as ecosystem condition characteristics. We consider that this new typology for ecosystem condition will create a meaningful reporting structure for ecosystem condition accounts, thus facilitating its standardisation and broad application.
Reinforcement of Islamic education in the revolution era of society 5.0

SUBMITTED 21 Dec 2020 REVISED 20 Jan 2021 ACCEPTED 15 Feb 2021 ABSTRACT Islamic education in society 5.0 faces various complex problems, lack of adequate resources, lack of teachers’, lecturers’, and educational personnel’s competence. Addiction to technology causes students to lose their character and morals. Increasing the competence of teachers and students is significant to face the challenges. The threemain pillar components that need to be possessed by each component are (a) ability to solve problems, (b) ability to think critically, (c) ability to be creative. This study aimed to describe the implementation of the strengthening of Islamic Education learning in the era of community revolution 5.0. This research uses a qualitative approach with the type of literature study research. The author will explore the data according to the discussion in this study, then collect them for analysis. Data analysis was carried out in three stages: data reduction, data presentation, conclusion drawing, or data verification. The study results show that the reinforcement of Islamic Education learning in the community revolution era was 5.0. by integrating Islamic religious values into KDP values. This integration is to overcome the children’s moral crisis in the era of community life 5.0. The use of digital technology as a learning medium is the right step to balance the needs of society 5.0. Thus, the welfare and quality of life of the people increases. Especially the needs of all elements in the field of education.
EXCESSIVE INTERNET USE AND PARENT-CHILD RELATIONSHIP

The main objective of this study was to investigate the connection between problematic Internet use and the parent-child relationship. Starting from Vygotsky’s theory (1978), which emphasized the importance of interaction in child development, the present research is based on identifying changes in children’s and parents’ behavior, when using the Internet. The participants (N = 204) completed the KPS scale of parental satisfaction, the index of family distress (FDI), the scale of family communication (FPSC) and the PCIAT index, for excessive Internet use. The results showed a statistically significant association between problematic internet use and parental satisfaction, family communication, family distress.
Satisfied Customers are the Best Ads: Investigating some of the Antecedents and Consequences of Customer Satisfaction

Institute of Business Management and Administrative Sciences (IBM&AS), The Islamia University of Bahawalpur, Pakistan, Usman.khizar@iub.edu. pk School of Management, Huazhong University of Science and Technology (HUST), Wuhan, China ARTICLE DETAILS ABSTRACT History Revised format: August 2020 Available Online: September 2020 Customer satisfaction is a major concern for the marketing personnel; particularly, in services in sector. In this regard, this study aims to explore the relationship between antecedents and outcomes of customer satisfaction in the context of personal computer market segment. For the purpose of data collection, we used a convenience sampling technique and 150 regular customers of Dell were included in the sample size. Regression analysis techniques were used for the evaluation of the relationship between the antecedents (i.e., services quality, price, and customer loyalty) and the consequences (i.e., customer perception, customer retention, customer complaining) of customer satisfaction. Research findings of the study suggest that there is a significant positive association between service quality and customer satisfaction. However, our results invalidate the relationship among price and customer satisfaction. The results for all other variables are the same. The findings of our study can be beneficial for organizations of the both sectors, i.e., production and services sector to take a stock of the factors affecting customer satisfaction. The findings of this study can be used for increasing the performance of organizations with respect to quality and quantity according to the perceptions of customers.
Temperature-controlled synthesis, thermodynamics and field emission properties of β-SiC/SiO2 coaxial heterojunction emitters

β-SiC/SiO2 coaxial heterogeneous emitters composed of a SiC nanowire core and a uniform amorphous SiO2 coating have been fabricated via the chemical vapor deposition (CVD) technique. The effect of synthesis temperature on the yield, microstructure, and chemical composition of the products was systematically analysed. A rational explanation for the growth of the β-SiC/SiO2 emitter was proposed and analysed from the perspective of the reaction thermodynamics. The field emission behaviors of the β-SiC/SiO2 coaxial nanocables exhibit a strong dependence on the synthesis temperatures. Excellent performances with a low turn-on field (Eto) of 0.63 V μm−1 and threshold field (Eth) of 1.92 V μm−1 have been recorded at 1200 °C. Furthermore, the optimized cathode shows remarkable electron emission stability with the fluctuation of the current density being less than 5.7% after a 3 h long lifetime test.
GC-SAW and GC-FID performance comparison for fast analysis of volatile organic compounds

Objectives: To develop gas chromatograph (GC) based chemical agent detector and to compare the response of Surface AcousticWave (SAW) detector with Flame Ionization Detector (FID) for the development of a reliable and fast gas/vapour analyzer. Also, to describe the limitations of the FID over SAW detector. Methods: An uncoated 433.92 MHz SAW device was used as Gas Chromatography (GC) detector and its response was recorded and compared with conventional FID detector using short capillary column. The response of both the detectors were analyzed by using standard mixture of seven Volatile Organic Compounds (VOCs). Besides this comparison various key parameter of GC i.e. Flow, temperature and length of GC column were also optimized for fast GC analysis. Findings:After analyzing the fast GCdata of both the detectors with same sample, it was observed that the resolution of chromatograms with SAW detector showed more resolved peaks as compare to the FID detector for the same GC parameters. Improvements/Applications: It is concluded that the SAW detector is more suitable for fast and reliable analysis of chemical vapors in rapid analysis.
Shape Optimization of Concrete Arch Dams with SPSA Algorithm and Post-analysis of Pareto Front for selection the Best Alternatives

The optimization of structure shapes is a challenging endeavor in many fields of engineering since the generation of a parametrical model and numerical solutions of the model in the optimization process may have heavy computational costs. In the present study, a methodology is presented for the design of shape optimization of high arch dams to simultaneously reduce dam construction costs and increase the dam body safety by considering stage construction. Structural optimization is performed for permanents loads, including dam body weight and the hydrostatic pressure of the reservoir water. To simulate concreting, the dam body weight is considered through an eight-stage loading. The Simultaneous Perturbation Stochastic Approximation (SPSA) optimization algorithm is employed to find the optimized shape using the simple additive weighting method. The VIKOR method is used to decide upon the optimized shape of the dam. The proposed methodology greatly assists analysts with little experience in designing. It also helps decide upon the preferred solution from among optimal solutions.
Aqueous extract of strawberry (Fragaria x ananassa Duch.) leaves as a stabilizing agent in the synthesis of bio-active silver nanoparticles

The aim of the presented work was to investigate the potential of aqueous extract of cultivated strawberry (Fragaria x ananassa Duch.) leaves for stabilization of silver nanoparticles (AgNPs-E) synthesized at room (RT) and boiling temperature (BT). The synthesis and stability of AgNPs-E were monitored by UV-Vis spectroscopy confirming high stability of the AgNPs-E in the dark at room temperature. The Fourier-transform infrared spectra suggest that molecules containing oxygen and nitrogen functional groups (NH, (NH)C=O, CNO, C-O-C and OH) participate in the reduction and stabilization of formed nanoparticles. As determined by the DPPH test, AgNPs-E synthesized at RT exerted higher antioxidant activity as compared to AgNPs-E synthesized at BT (EC50 values of 0.025 and 0.039 mg cm-3, respectively). Also, the AgNPs-E synthesized at RT exerted higher antibacterial activity against Escherichia coli, Staphylococcus aureus, Listeria monocytogenes, Bacillus subtilis and Bacillus luteus. Examination of the AgNPs-E on HeLa and MDCK cell lines showed concentration-dependent and cell line specific effects on the cell viability as evaluated by the MTT test. The obtained results indicate that synthesized AgNPs-E can be used as a base material in production of pharmaceutical preparations for potential skin applications.
CEO Overconfidence and Corporate Investment: Moderating Role of Corporate Governance Practices

ARTICLE DETAILS ABSTRACT History: Accepted: 12 May 2020 Available Online: 15 June 2020 This paper examines the relationship between CEO overconfidence, corporate investment and firm performance along with moderating effect of corporate governance (CG) between them. We collected the data of Pakistani listed firms from 2010-2018. The findings suggest that the relationship between CEO overconfidence and corporate investment is significant and the corporate governance also moderates the relationship of CEO overconfidence and corporate performance. In addition, the authors report a significant substantial relationship exists between Tobin’s Q and CEO overconfidence and between ROA and CEO overconfidence. The moderator effect is also significant in the case of CEO overconfidence and Tobin’s Q, and in case of ROA and CEO overconfidence. This is the first empirical paper on CEO overconfidence, corporate investment and governance practices using data for the Pakistan.
EVALUATION OF IMPACT STRENGTH OF HEAT CURE ACRYLIC RESIN REINFORCED WITH NYLON FIBER MESH WITH AND WITHOUT PRESTRESSING (IN VITRO STUDY)

INTRODUCTION: Acrylic resin prostheses are liable to high levels of forces due to their frequent removal by patients and accidental slippage. Hence, the impact strength of acrylic denture base material is of major significance in providing long-term functional prostheses. OBJECTIVES: The aim of this study was to evaluate the reinforcing effect of prestressed nylon fiber meshwork and the specimen thickness increase on the impact strength of heat cure acrylic resin. MATERIALS AND METHODS: 72 specimens were divided into 3 groups (I, II and III) which were heat cure acrylic resin (control), Nylon mesh reinforced acrylic resin and prestressed-nylon mesh reinforced acrylic resin. Each group was formed of 24 specimens, which were further subdivided into 3 subgroups (A, B and C) of different dimensions; 75 mm × 10 mm × 3 mm and 75 × 10 × 4 mm and 75 x 10 x 5 mm. Thus, the specimens were divided into 9 experimental subgroups (n=8 per subgroup). A Charpy’s impact tester was used to measure the impact strength of acrylic resin. The data were analyzed using Anova-test (p≤0.05). RESULTS: The mean impact strength of groups II and III was higher than the control group I impact strength. The difference between the reinforced groups and control group was statistically significant for all specimen thicknesses. CONCLUSIONS: The impact strength of heat cure acrylic resin was increased by the incorporation of nylon fiber mesh whether prestressed or not.
PREDICTING ERROR PROPAGATION IN AUTONOMOUS GROUND VEHICLE SUBSYSTEMS

Self-driving or autonomous vehicles consist of software and hardware subsystems that perform tasks like sensing, perception, path-planning, vehicle control, and actuation. An error in one of these subsystems may manifest itself in any subsystem to which it is connected. Errors in sensor data propagate through the entire software pipeline from perception to path planning to vehicle control. However, while a small number of previous studies have focused on the propagation of errors in pose estimation or image processing, there has been little prior work on systematic evaluation of the propagation of errors through the entire autonomous architecture. In this work, we present a simulation study of error propagation through an autonomous system and work toward developing appropriate metrics for quantifying the error at both the subsystem and system levels. Finally, we demonstrate how the framework for analyzing error propagation can be applied to analysis of an autonomous systems with a lidar-based sensing and perception system.
Overview on Current Modelling Strategies of Point Clouds for Deformation Analysis Überblick aktueller Methoden zur Modellierung von Punktwolken für die Deformationsanalyse

Terrestrial laser scanning was used for deformation monitoring of structures and geoscientific objects already at an early stage of its employment for engineering geodetic tasks. This paper gives an overview on current state of the art methods and fields of applications concerning the modelling of point clouds obtained with this measuring technology, by following two aims. On the one hand, the presentation of modelling methods used for retrieving deformation information additional to the ones given in / Bureick et al. 2016/ and / Wunderlich et al. 2016/ of this special issue, is intended. On the other hand, a structuring of the modelling methods with regard to the most common types of analysed measuring objects in engineering geodesy is performed. The aim of this structuring is to create a conceptual link between the model category according to / Ohlmann-Lauber & Schäfer 2011/, the adopted modelling strategy and the object type.
Spatial Wind Speed Forecasting Using Artificial Neural Networks

Spatial interpolation is a commonly used technique to simulate wind speeds in areas which are devoid of such measuring devices. In this paper authors examine the applicability and efficiency of Artificial-Neural- Network (ANN) formalism aimed at interpolating wind speeds in space domain. Additionally, the effect of the correlation between the wind speed at target site and its correlated neighboring site is also examined in the present paper. Hourly wind speed data set comprising of wind speeds recorded from April 2016 to August 2018 provided by Energy Sector Management Assistance Program of World Bank is used for the study. The study is supported by including four different wind speed measuring stations in Pakistan, namely, Tando Ghulam Ali, Umer Kot, Sujawal and Sanghar. Best estimates from ANN model are obtained for Tando Ghulam Ali (MAPE= 7.37%) and worst estimates are observed forSanghar site (MAPE= 10.61%).
Politeness Utterances in English Discussion

This study was conducted to investigate the types of maxims according to the principles of politeness as used by tertiary English students in the context of semi-formal discussion. This study used a descriptive qualitative method. 20 intermediate tertiary English students from one of the universities in Bengkulu were involved as the participants of this study. They were selected using a purposive sampling technique. The findings revealed that in the context of semi-formal English discussion, there were four types of maxims representing politeness. They ranged from tact maxim, generosity maxim, approbation maxim, to agreement maxim. Those maxims were realized into several uses of utterances such as requesting, asking, offering, responding, and answering. This study supports a premise that the uses of politeness maxims in English communication contribute to the success of communication per se.
Cultural Capitals: Modeling Minor European Literature

Conceived against the backdrop of ongoing debates regarding the status of national literary traditions in world literature, this essay offers a computational analysis of how national attention is distributed in contemporary fiction across multiple national contexts. Building on the work of Pascale Casanova, we ask how different national literatures engage with national themes and whether this engagement can be linked to one's position within a global cultural hierarchy. Our data consists of digital editions of 200 works of prize-winning fiction, divided into four subcorpora of equal size: U.S.-American, French, German, and a collection of novels drawn from 19 different "minor" European languages. We ultimately find no evidence to support Casanova's theory that minor literatures are more nationalistic than literature produced within major cultural capitals. Indeed, the evidence points to the exact opposite effect: all three of the models we employ suggest that novels written in more minor languages tend to be significantly less nationalistically focused than those written in European centres like France or Germany. Nevertheless our data do confirm Casanova's larger hypothesis of the existence of visible stylistic effects associated with a book's location within a global cultural hierarchy of languages.
In the era of socio-economic globalization and integration, the relevant of foreign capital inflows in stimulating the developmental process of emerging nations

The paper investigates the relevance of foreign direct investment (FDI) as a factor inhibiting economic growth in Nigeria. This paper inspects the sectorial influence of FDI in manufacturing, mining, oil and the telecommunications sectors on economic growth in Nigeria based on theoretical framework founded on the standard growth accounting theory, detailed analysis of the sectorial FDI over the period 1981 and 2017 was carried out. Various econometric methods are employed, such as the ADF test, Dickey and Fuller test (1979), PP test (Phillips and Perron, 1988) are used for the unit root test, and the Shahbaz and Rahman (2010) method is used for the long-run relationship between the foreign direct investment and economic growth. The paper also adapted the framework provided by M.B. Obwona (2004). The paper formalizes a mechanism of recommendations to allow for the influence of foreign direct investment in the transmission of socio-economic growth generated in Nigeria. In conclusion, government should provide an enabling environment that will encourage foreign investors to invest in Nigeria economy by addressing the security challenges in the country, understanding that investment friendly environment will improved regulatory framework as well as encourage domestic investment.