Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotional Intelligence and Resilience of High School Teachers in Diocesan Schools in Antique

In our globalized society, understanding emotions and developing resilience can help us move adeptly through the current challenges and future ones. Emotional intelligence is the capacity of individuals to understand their emotions and those of other people. It is an ability to label and adjust emotions appropriately, use and manage behavior and relationships, and help them adapt to environments. On the other hand, resilience refers to an individual's capacity to maintain and renew themselves, particularly in the presence of stressors; that is, they can withstand stressors without manifesting psychological dysfunction. Teaching is regarded as among the most stressful jobs today. Knowing how to cope despite setbacks or barriers, or limited resources is a must for teachers; otherwise, they will easily quit or give up. Hence, the paper describes the level of emotional intelligence and resilience of high school teachers of a Diocesan Catholic School in Antique during the School Year 2019-2020. Additionally, it measures the differences in the level of emotional intelligence and resilience when grouped according to demographic variables. The study also explores the relationship between emotional intelligence and resilience of teachers.
Students Satisfaction with Online Learning Experiences during the COVID-19 Pandemic

This research aims to evaluate the level of postsecondary student satisfaction with online learning platforms and learning experiences during the novel coronavirus COVID-19 pandemic in the Kingdom of Saudi Arabia (KSA). This paper is based on the premise of transformative learning theories [1], which describe the learners’ authority and investment over their learning. Quantitative research was carried out using a survey that was sent out to 283 students enrolled at one higher education institution in KSA. These data were analyzed using SPSS. Average Mean Score (AMS) was used for data analysis, where the results are validated using the Standard Deviation (SD), Skewness and Kurtosis test, and Cronbach Alpha test. The research findings revealed that the students are satisfied with the university staff and faculty members who agreed on specific online platforms to use, grading system, assessment options, training workshops, online technical support, and more. The research findings also showed that participants were highly satisfied with Google Hangouts the most for lecture delivery, followed by Google Classroom and LMS (Moodle) for course management and assessments. With only respect to the students’ online learning experiences, the COVID-19 situation within this study context was handled adequately. This study calls for further research into the integration of professional development workshops and practical training courses for online learning and teaching to endorse innovative teaching techniques and alternative assessment plans for instructors, learners, administrators, and policymakers.
Comparing Motor Control of the Lumbosacral Region and Pelvic Floor Muscle Strength and Performance in Women with C-Section and Vaginal Birth

Background: Delivery is a physiological process that may cause neurophysiological changes in the lumbosacral region. Objectives: The current study aimed to compare motor control of the lumbosacral region and pelvic floor muscle strength and performance in women with C-section and vaginal birth. Methods: In this cross-sectional study, 120 prim parous women referring to healthcare centers in Karaj (Iran) during 2019 are studied. The participants were selected using convenience sampling. The motor control of the lumbosacral region was examined by four clinical tests (standing bent, active straight leg raising, bent knee fall out, and knee lift abdominal test) using a pressure biofeedback unit. Muscle strength and performance were measured using the Oxford scoring system and the PFPI-20 questionnaire, respectively. Data were analyzed using independent t-test, Mann-Whitney, and Chi-square tests. Statistical significance was considered when P value < 0.05. Results: Based on the standing bent test, a significant difference was found between those in vaginal delivery and C-section groups (P = 0.011). Also, the mean scores of muscular strengths (P = 0.009) and pelvic floor muscular function (P = 0.01) in the vaginal delivery group were significantly higher than the C-section group. Conclusions: the mean scores of pelvic floor motor control, pelvic floor muscular strength, and function in the C-section group were higher than those in the vaginal delivery group. This study demonstrated the necessity of postpartum pelvic floor muscle rehabilitation, especially in vaginal delivery.
The Nexus Between Trade Openness and GDP Growth: Analyzing the Role of Human Capital Accumulation

The objective of this study is to explore the empirical impact of trade openness on gross domestic product (GDP) growth. Researchers have not given the externalities of trade openness the deserved scholarly attention. In this work, we propose to account for human capital accumulation (HCA) as an additional dimension of economic trade integration. To address the potential endogeneity issue, we use the system generalized method of moments (GMM) estimator developed for dynamic panel data models. The results outline an intriguing indirect relationship between trade openness and GDP growth. If HCA is taken into account as an intervening variable, trade may have a negative impact on GDP growth when countries exhibit a low level of HCA. Thus, the indirect relationship between trade openness and HCA was studied in depth, and to the best of our knowledge, this research is the first to examine this relationship in both developed and developing countries over a 34-year period (1980–2014). The established GMM-centric thresholds are robust to alternative estimation techniques and measurements of trade openness. Policy implications are discussed.
A Review on the Potency of Melaleuca leucadendron Leaves Solid Waste in Wood Preservation and Its In Silico Prediction upon Biological Activities

The essential oils from cajuput leaves (Melaleuca leucadendron) have been well-known and applied, especially in healthcare management. However, the utilization of the leaves solid waste has not been explored and reported in detail. In this review, we elaborate on the cajuput leaves starting from the plant description and leaf morphology, chemical composition, biological activities, wood decomposing organism, and an in silico prediction upon its molecular mechanism. Based on the in silico prediction, compounds such as guaiol, lupene, and 1, 8-cineole have the potential to be antifungal and insecticide that associates with the cajuput potency as a wood preservative agent.
Psychophysical Analysis of Complex Odor Mixtures

Odors in everyday life are usually complex and contain many components. This review describes current knowledge of how mixtures are perceived and the mechanisms that result in the suppression of many odors in mixtures. It discusses the limited capacity of humans to analyze mixtures and why only up to three odors can be identified perceptually in a mixture. Although this limit appears to be a disadvantage, the sense of smell seems to have evolved to provide a system that uses information processing techniques to detect and identify the most complex of odors within a second. Recent advances in gene technology which have resulted in the cloning of different types of receptors have provided new insights to odor reception and perception with mixtures and have the potential to open a new era in the development of fragrances.
Short-Term Litter Manipulations have Strong Impact on Soil Nitrogen Dynamics in Larix gmelinii Forest of Northeast China

Changes in above-ground litterfall can influence below-ground biogeochemical processes in forests, which substantially impacts soil nitrogen (N) and nutrient cycling. However, how these soil processes respond to the litter manipulation is complex and poorly understood, especially in the N-limiting boreal forest. We aimed to examine how soil N dynamics respond to litter manipulations in a boreal larch forest. A litter manipulation experiment including control, litter exclusion, and litter addition was performed in the Larix gmelinii forest on the north of the Daxing’an Mountains in China. Monthly soil inorganic N, microbial biomass and the rate of net N mineralization in both 0–10 cm and 10–20 cm layers, and N2O flux were analyzed from May 2018 to October 2018. In 0–20 cm soil layer the average soil inorganic N contents, microbial biomass N (MBN) contents, the rate of net N mineralization (Rmin), and the soil N2O emission in the litter addition plot were approximately 40.58%, 54.16%, 128.57%, and 38.52% greater, respectively than those in the control. While litter exclusion reduced those indexes about 29.04%, 19.84%, 80.98%, and 31.45%, respectively. Compared with the dynamics of the 10–20 cm soil layer, the N dynamics in 0–10 cm soil were more sensitive to litter manipulation. Rmin and N2O emissions were significantly correlated with MBN in most cases. Our results highlight the short-term effects of litter manipulations on soil N dynamics, which suggests that the influence of litter on soil N process should be considered in the future defoliation management of the boreal larch forest.
Fault Detection of Aircraft Control System Based on Negative Selection Algorithm

The aircraft control system controls the whole flight movement process. Its fault detection can assist the aircraft PHM system in making decisions and completing the targeted maintenance, which is of great significance to improve the safety and reliability of the aircraft. In this paper, by taking advantage of the strong leaning and intelligent recognition ability and the characteristic of less information required in the negative selection artificial immune system, a fault detection method is proposed for aircraft control system based on negative selection algorithm. Basically, after extracting the fault characteristics from the aircraft flight parameters, the negative selection module is utilized to generate fault detectors to monitor the aircraft control system. Afterward, the hypothesis test is introduced to evaluate the detector coverage more efficiently, and the detector cover area is optimized by applying geometric mathematics in the optimization of the detector center position and radius. The method is verified by simulation of a certain aircraft control system, and the results show that it has a good detection effect on the system faults.
Effect of Sunflower Residues and Herbicide on Weed Suppression, Grain Yield and Economics of Transplanted Aman Rice

A field experiment was conducted at Agronomy Field Laboratory, Patuakhali Science and Technology University, Dumki, Patuakhali from July 2018 to November 2018 to evaluate the effect of sunflower residues and herbicides on the yield and economic performance of transplanted Aman rice. Weed control methods tested were T1 = weedy check (Unweeded control), T2 = Weed-free check by hand weeding twice, T3 = Pendimethalin, T4 = Pretilachlor, T5 = Butachlor, T6 = Pyrazosulfuron ethyl, T7 = Bensulfuron methyl + Acetachlor, T8 = Bispyriback sodium, T9 = 2,4-D amine, T10 = MCPA, T11 = Sunflower residues, T12 = Sunflower residues + 100% Pyrazosulfuron ethyl, T13 = Sunflower residues + 75% Pyrazosulfuron ethyl, T14 = Sunflower residues + 50% Pyrazosulfuron ethyl. The experiment was laid out in a randomized complete block design with fourteen treatments replicated thrice. Weedy check registered significantly the highest total weed density (354.67 m-2) and total weed dry matter (51.81 g-2) while weed-free treatment by hand weeding twice recorded significantly the lowest total weed density (6.67 m-2) and total weed dry matter 0.49 g-2) . Weedy check produced the highest weed index (34.24%) and hand weeding produced the lowest. Among different herbicides applied alone, butachlor had the lowest total weed density (15 m-2) and total weed dry matter (6.43 g-2) after hand weeding. Hand weeding recorded the highest grain yield (5.14 t ha-1) which was statistically similar to pendimethalin, pretilachlor, butachlor, bensulfuron methyl + acetachlor and sunflower residues + 100% pyrazosulfuron ethyl. Higher grain yield was attributed to a higher number of panicle m-2, number of filled grains panicle-1 and 1000-grain weight. The highest gross margin (22955 Tk. ha-1) and benefit-cost ratio (1.32) were obtained from butachlor. Integration of sunflower residues with pyrazosulfuron ethyl produced effective weed suppression and satisfactory yield comparable to butachlor. Although the integration is less profitable than butachlor the farmers can use this technology as a feasible and environmentally sound approach in transplanted Aman rice field. Bangladesh Agron. J. 2020, 23(1): 47-58
Macroeconomic Conditions and Stock Market Liquidity in Kenya

This paper explores the role of macroeconomic conditions on systematic stock market liquidity in Kenya. The study first estimates the monthly probability of liquidity switching from a high to a low liquidity state using the Markov regime switching framework. Then, using ordinary least squares, the study identifies macro factors that significantly drive liquidity fluctuations. Importantly, monetary policy changes, exchange rate fluctuations and global risk aversion are found to significantly explain the resilience of stock market liquidity. Understanding the specific macroeconomic variables that drive liquidity fluctuations helps investors to monitor their liquidity exposures further enabling them to make informed investment choices. This ultimately leads to efficient resource allocation. Additionally, the empirical findings of this study provide key information to financial market supervisors regarding which macro variables to watch in their surveillance duties.
Drivers of service delivery modes in Dutch local government: an analysis over time and across domains

This study investigates the influence of service, financial and political characteristics on municipalities’ choices of four service delivery modes in the Dutch local government setting, thereby making a distinction between services in the physical and in the operational domain. It shows that, overall, use of inter-municipal cooperation and, to a lesser extent, municipality-owned firms increased substantially from 2010 to 2018. For use of private firms, we find remarkable differences. Whereas this use increased for the physical domain, it decreased for the operational domain. For both domains, we find that in-house production decreased substantially. We also find that the influence of especially transaction cost characteristics on the likelihood that municipalities choose a certain institutional form differs between 2010 and 2018, as well as between the physical and the operational domain. Points for practitioners Our finding that the use of in-house production decreased substantially from 2010 to 2018 suggests that municipalities are looking for mixed institutional forms, such as inter-municipal cooperation, to realize economies of scale. We observe that service delivery modes are especially driven by service characteristics, thereby stressing the importance of transaction cost motives in decisions about service delivery modes. However, our study also shows that financial and political characteristics have some influence. As the effects of the latter are not stable, we show that the way to implement reforms may vary over time and across domains.
The influence of open innovation on firm performance

Innovation is crucial for growth and business development, and represents a reliable way through which to gain competitiveness within the marketplace. Open innovation is expressed through three different processes: the acquisition of external technology (inbound innovation); the external exploitation of technology (outbound innovation); and coupled innovation. Based on a comprehensive and systematic review of the literature best able to detect the main thematic areas of the research topic, the aim of this paper is to investigate how the paradigm of open innovation influences firm performance and to provide suggestions for future research avenues.
Crystal structure of cephalexin monohydrate, C16H17N3O4S(H2O)

The crystal structure of cephalexin monohydrate has been solved and refined using synchrotron X-ray powder diffraction data and optimized using density functional techniques. Cephalexin monohydrate crystallizes in space group C2 (#5) with a = 27.32290(17), b = 11.92850(4), c = 16.75355(8) Å, β = 108.8661(4)°, V = 5166.99(3) Å3, and Z = 12. Although the general arrangement of molecules is similar to that in cephalexin dihydrate, the structural differences result in very different powder patterns. The crystal structure is characterized by alternating layers of hydrogen bonds and van der Waals contacts parallel to the bc-plane. The water molecules occur in clusters. Five of the six protons in the water molecules act as donors in O–H⋯O hydrogen bonds. The sixth hydrogen atom acts as a donor to two different phenyl ring carbon atoms to form bifurcated O–H⋯C hydrogen bonds. Each cephalexin molecule is a zwitterion, containing ammonium and carboxylate groups. The ammonium ions form N–H⋯O hydrogen bonds to carboxylate groups and water molecules, as well as to carbonyl groups. The powder pattern is included in the Powder Diffraction File™ as entry 00-065-1417.
First Record of Platyberyx rhyton (Teleostei: Perciformes: Caristiidae) Outside of Japanese Waters and Description of Juvenile Morphology

While examining specimens identified as Paracaristius maderensis (Maul, 1949) at the Scripps Institution of Oceanography Marine Vertebrate Collection, we encountered an individual of the genus Platyberyx Zugmayer, 1911. This specimen was collected in the Central Pacific Ocean, 900 km east of Wake Atoll during the Naga Expedition 1959–1961. We identified the specimen as Platyberyx rhyton Stevenson and Kenaley, 2013, and it represents the first record of this species outside of Japanese waters. This is a range extension of around 3400 km east for this species, as well as the first record of a juvenile individual and the fourth record of the species overall. We provide a morphological description and comparisons to the three previously known adult specimens.
LEVERAGING FIRM PERFORMANCE THROUGH INFORMATION TECHNOLOGY STRATEGIC ALIGNMENT AND KNOWLEDGE MANAGEMENT STRATEGY: AN EMPIRICAL STUDY OF IT-BUSINESS VALUE

© 2020 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 304 LEVERAGING FIRM PERFORMANCE THROUGH INFORMATION TECHNOLOGY STRATEGIC ALIGNMENT AND KNOWLEDGE MANAGEMENT STRATEGY: AN EMPIRICAL STUDY OF IT-BUSINESS VALUE
Soybean silage in dairy heifers’ diets: ruminal fermentation, intake and digestibility of nutrients

ABSTRACT This study was designed to determine the effects of soybean silage (SS) in diets of dairy heifers on nutrient intake and digestibility, feeding behaviours, rumen fermentation, N utilisation, and microbial N synthesis. Twelve Jersey heifers (307 ± 3 kg body weight and 15 ± 3.2 months of age) were assigned to a 4 × 4 Latin square design experiment with 21 d-periods, 14 d for adaptation and 7 d for sampling. Treatments were: 1) control (0), diet without SS and containing 750 g/kg DM corn silage (CS); 2) 250: diet with 250 g/kg DM SS and 500 g/kg DM CS; 3) 500: diet with 500 g/kg DM SS and 250 g/kg DM CS; and 4) 750: diet with 750 g/kg DM SS and without CS. The level of SS quadratically affected DM, crude protein, and neutral detergent fibre intake and digestibility. Soybean silage decreased linearly ruminal acetate concentration and quadratically affected the ruminal concentration of propionate and total volatile fatty acids. A linear increase was observed for microbial N synthesis as the dietary level of SS increased. Soybean silage may be used at levels between 325 and 395 g/kg DM, instead of CS to maximise DM intake and digestibility.
Elucidating some physiological mechanisms of salt tolerance in Brassica napus L. seedlings induced by seed priming with plant growth regulators

Present study was undertaken to elucidate some physiological mechanisms of induced salt tolerance by different plant growth regulators (PGRs) in rapeseed (Brassica napus L.) seedlings. Three salt stress levels were given; tapwater (0.7 dS m ), 6 dS m and 12 dS m, which made by NaCl and CaCl2 as 2:1 molar ratio. The eight seed priming agents were included: dry seeds (no-priming), hydropriming and six PGRs primings. The used PGRs were; abscisic acid (ABA), auxin (AUX), salicylic acid (SA), chlorocholine chloride (CCC), ascorbic acid (AS) and brassinosteroid (Brs). The results revealed that salinity, depending on level, reduced seedling emergence, shoot and root growth, potassium (K) concentration and enhanced sodium (Na) concentration and antioxidant enzymes. These reductions could be attributed to oxidative stress and/or ion balance disturbance due to salinity stress. It is documented by reduced K and increased Na in both root and shoot as well as enhanced antioxidant enzyme activity and H2O2 in salt stressed rapeseed seedlings. Higher storage factor (SF) refers to a higher ions content kept in roots rather than transporting these to the shoot as salinity level increased. PGRs priming modulates some negative effects of salt stress on emergence, growth and physiological functions of plants. In triggering the ameliorating role of PGRs, it appeared that the ratio of Na to K is more important than their individual concentrations. Moreover, H2O2 concentration was found to be a better key for estimation of the oxidative damage rather than antioxidative enzymes. Among the PGRs, SA and Brs showed better performance, and it seems that the main mechanism of action for SA was creating ion balance and changing ion partitioning in favor of roots. For Brs it appeared to be reactive oxygen species (ROS) scavenging by inducing higher activity of antioxidant enzymes, particularly catalase.
Role-based engagement: scale development and validation

The purpose of this paper is to build on personal engagement and role theory to develop a conceptual definition of engagement to different organizational roles ( job, organization, supervisor, and coworkers) and create and validate the Role-Based Engagement Scale (RBES). Data were collected from four samples (n = 1,302) of employees, including three from multiple organizations and one from an aircraft manufacturer. Results across three studies consistently support the four dimension structure of the RBES, its internal consistency, convergent, discriminant, and predictive validity based on a series of confirmatory factor analyses. The RBES is a psychometrically sound instrument that measures engagement to job, organization, supervisor, and coworkers. This instrument will provide more targeted information for human resource management (HRM) professionals tasked with developing training methods and processes to improve low-scoring dimensions of engagement, optimizing HRM interventions.