Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Online Learning Processes in Primary School During the COVID-19 Pandemic

The aim of the study was to describe the online learning approaches used at SDN Cabean 3 Demak during the COVID-19 pandemic, and to describe the impact of this online learning on the teachers, students and parents. This research was a qualitative case study. The participants were teachers, students and parents of the first through fifth grade at SDN Cabean 3 Demak. Data were collected through open questionnaires, interviews, and documentations. The data were analyzed by using data reduction, data display, and conclusion. The results of the study showed that: 1) The application of distance learning technologies at SDN Cabean 3 Demak consisted of a preparation step, process-specific planning, and learning assessment phases via WhatsApp groups; and 2) The impact of this online learning on the teachers, students and parents could be seen by creating WhatsApp groups for each class. The positive impacts included that teachers, students and parents obtained new learning experiences, developed technology skills and could benefit from the flexible timing of the online environment. The negative impacts were having to deal with internet credits, issues with internet signal, lack of technology skills and incomplete materials based on curriculum achievements. Keywords: online learning
Difference Analysis of Digital Marketing Implementation in Enterprises Performance: Balanced Scorecard Perspective

This study aims to determine the differences in Micro, Small, and Medium Enterprises’ (MSMEs) performance before and after implementing digital marketing. The research paradigm was quantitative with primary data sources. Furthermore, the research instrument was a questionnaire designed to measure MSMEs' performance in the balanced scorecard perspective on customer and internal business processes. The number of samples totaled 107 respondents, and data were collected directly from MSMEs in Malang City. The determination of respondents involved a judgment sampling approach. Data analysis was mainly descriptive (categorization index) which also involved hypothesis testing (sample paired t-test). The results showed that there were significant differences in MSMEs' performance before and after implementing digital marketing. These differences were shown by the results of data analysis, in both descriptive and hypothesis testing.
The ability of detainment bunds to decrease sediments transported from pastoral catchments in surface runoff

Erosion leading to sedimentation in surface water may disrupt aquatic habitats and deliver sediment‐bound nutrients that contribute to eutrophication. Land use changes causing loss of native vegetation have accelerated already naturally high erosion rates in New Zealand and increased sedimentation in streams and lakes. Sediment‐bound phosphorus (P) makes up 71–79% of the 17–19 t P y−1 delivered from anthropogenic sources to Lake Rotorua in New Zealand. Detainment bunds (DBs) were first implemented in the Lake Rotorua catchment in 2010 as a strategy to address P losses from pastoral agriculture. The bunds are 1.5–2 m high earthen stormwater retention structures constructed across the flow path of targeted low‐order ephemeral streams with the purpose of temporarily ponding runoff on productive pastures. The current DB design protocol recommends a minimum pond volume of 120 m3 ha−1 of contributing catchment with a maximum pond storage capacity of 10 000 m3. No previous study has investigated the ability of DBs to decrease annual suspended sediment (SS) loads leaving pastoral catchments. Annual SS yields delivered to two DBs with 20 ha and 55 ha catchments were 109 and 28 kg SS ha−1, respectively, during this 12‐month study. The DBs retained 1280 kg (59%) and 789 kg (51%) of annual SS loads delivered from the catchments as a result of the bunds' ability to impede stormflow and facilitate soil infiltration and sediment deposition. The results of this study highlight the ability of DBs to decrease SS loads transported from pastures in surface runoff, even during large storm events, and suggests DBs are able to reduce P loading in Lake Rotorua.
Improvement of the bioelectrochemical hydrogen production from food waste fermentation effluent using a novel start-up strategy

BACKGROUND Food waste is a valuable source of hydrogen by dark fermentation. Dark fermentation effluent contains volatile fatty acids that can be further converted into more hydrogen using microbial electrolysis cells (MECs). In this process, the anodic potential (Ean) has a significant influence on the MEC performance as well as the effluent composition. The objective of this study was to evaluate the effects of variation of the anode potential and substrate composition (food waste fermentation effluent) on the performance of hydrogen production using two-chamber MECs. RESULTS Colonization was conducted using an Ean of 0.5 V vs Ag/AgCl. After 38 days, the Ean had decreased to 0.3 V, resulting in an increase in the hydrogen production rate (from 287 to 482 mL H2 L-1cat d-1). A maximum hydrogen production rate of 685 mL H2 L-1cat d-1 was observed when effluent that contained the highest acetate concentration was utilized. Cathodic hydrogen recovery was higher than 93%, and hydrogen yield was greater than 873 mL H2 g-1 COD. CONCLUSION The start-up strategy in which Ean is decreased after the formation of an electroactive biofilm resulted in increased hydrogen production. The composition of the food waste fermented effluent influences the hydrogen production rate. © 2017 Society of Chemical Industry
Effect of Students' Attractiveness and Tidiness on the Development of Student-Teachers' Expectations of Their Intellectuality

The present study examined students' facial attractiveness and school uniform tidiness in developing the student-teachers' expectations of their academic performances. The researcher administered a questionnaire of 10 items on a sample that consisted of 135 student-teachers at the college of education in Kuwait University after exposing them to pictures of four school students with diversified traits of attractiveness and school uniform tidiness. The results showed that all the student-teachers' sample tends to form expectations about diverse classroom students based on their level of attractiveness and school uniform tidiness. There were no differences in these expectations between student-teachers of different GPAs. Still, such differences existed between student-teachers groups of fields of specialization. Several recommendations were then directed & brought to the Ministry of Education and teacher preparation program personnel's attention. Received: 18 March 2021 / Accepted: 20 May 2021 / Published: 8 July 2021
Accumulation of essential mineral and toxic trace elements in crops and soils of vegetable cropping systems in central highlands of Sri Lanka

Abstract Vegetables are widely cultivated in high rainfall and mountainous regions in Sri Lanka with poor soil conservation practices. Accumulation of essential mineral and toxic trace elements in the soils and widely cultivated vegetables of this region are poorly understood. One hundred soil and vegetable (i.e. cabbage, carrot and potato) samples were collected at the time of harvest and analysed for element concentrations. Soils contained high concentrations of essential mineral (N, P, K, Cu, Zn and Mn) and toxic trace elements (As, Cd and Pb). When comparing edible parts, cabbage contained the highest concentrations of mineral and toxic trace elements, and potato contained the lowest. Irrespective of the crop, edible parts contained high concentrations of N, P, K (14–35, 2–6, 15–24 g/kg, respectively), and Cu, Zn, Mn (2.5–6.7, 11–30, 8–147 mg/kg, respectively). Vegetables also contained As, Cd and Pb (0.04–1, 0.02–0.15, 0.02–0.26 mg/kg, respectively), but did not exceed the maximum permissible limits. Irrespective of the crop, 36–64 kg N, 6–11 kg P and 35–45 kg K per ha were removed with the harvest. According to the current rate of vegetable consumption by Sri Lankans (i.e. 240 g fresh weight (FW) per day), per capita consumption of 0.05–0.2 mg Cu, 0.45–0.65 mg Zn and 0.5–2 mg Mn per day through these vegetables was observed, i.e. 5–23% Cu, 7.5–11% Zn and 22–87% Mn of the recommended daily intake. Vegetables grown in the region served as a key source of essential mineral elements. However, agronomic mitigation strategies are needed to improve soil health and sustainability of these cropping systems.
A human fall detection framework based on multi-camera fusion

ABSTRACT A sudden fall accident is the main concern for the elderly and disabled people. Automatic detection of the falls from video sequences is an assistive technology for surveillance systems. In this study, a three-stage framework was presented and implemented based on the combination of the data from multiple cameras to address the challenges of occlusion and visibility. In the first stage, the number of used cameras was specified. In the second stage, each camera was decided locally based on its data about the fall incident. In the third and final stage, the aggregation function was used to combine the single camera’s decision considering the coverage rate coefficient of the used cameras. Experiments on the multiple-camera fall dataset demonstrated that our method is comparable to other state-of-the-art methods.
Qualitative ultrastructural changes and morphometry of deccani sheep spermatozoa preserved with egg yolk citrate extender

The present investigation was aimed to study the sequential changes in the sperm cell deterioration dur-ing liquid storage of Deccani sheep breed semen from dilution to 48 h of storage along with its seminal characteris-tics and sperm morphometric measurement. Thus the two Deccani adult rams (aged 2 years), were selected (six ejaculates/each ram) and the collected semen was diluted with Egg yolk citrate extender (EYC) (final concentration - 400 million spermatozoa/0.2 ml semen). Seminal characteristics were assessed along with sperm morphologi-cal changes by Electron microscopy immediately after dilution, at 24 and 48 h of storage, respectively. Sperm morphometry was analysed by Image analysis.The percentage of Individual motility, Live spermatozoa, Acrosomal integrity and Hos-test reactive sperm decreased significantly (P<0.05) from 80.41 to 49.16%, 82.75 to 51.25%, 94.16 to 83% and 76 to 48.58%, respectively during liquid storage of semen from initial dilution to 48 h of storage. The sperm head length (I¼m), Head width, sperm head area (I¼m2), sperm head perimeter (I¼m), mid piece length (I¼m), proximal mid piece width (I¼m), distal midpiece width (I¼m), volume of mid piece (I¼m3) and acrosomal cap length (I¼m) were 7.80, 4.33, 26.84, 20.63, 14.03, 0.74, 0.51, 4.54 and 5.24, respectively. Electron microscopic qualitative evaluation revealed that the main site of injury is the apical ridge of ram spermatozoa when stored at 5ÂoC. The electron density of the mitochondria reduced indicating concomittant depletion of ATP and loss of motility resulting in reduction of fertility.
Implementation of Blended Learning to Improve Critical Thinking Skills and Motivation

The aims of this research are to 1) know the differences of Critical Thinking Skills from blended learning in Diversity dan Classification of Invertebrate course, 2) find out the result of the blended learning implementation concerning study motivation in Diversity dan Classification of Invertebrate course at Biology Education program, 3) know the effect of blended learning on critical thinking in solving problems. Blended learning-based learning is a combination of face-to-face and online learning. Online learning is learning through various learning facilities such as using material sharing via PowerPoint, WAG, email, recitation of downloading material from various journals without the need for a face-to-face meeting. The research subject were students of the second-semester Biology education program. Data collection on critical thinking skills was taken from test scores after learning eight times, learning motivation data was taken through a questionnaire. Different test analyses using One Way ANOVA with a prerequisite test consist of normality test (Saphiro-Wilk Test) and homogeneity with Levene Test. The questionnaire analysis uses Rasch analysis with the help of Winsteps version 4.6. From the results of the study, it can be concluded that 1) there is a significant difference in critical thinking skills in blended learning and online learning, 2) there is a difference in learning motivation from blended learning and online learning, 3) there is a positive effect on critical thinking skills in solving problems given in blended learning
New dinuclear zinc(ii) complexes with Schiff bases obtained from o-phenylenediamine and their application as fluorescent materials in spin coating deposition

Two Zn(ii) complexes, K1 and K2, obtained from the template reaction of zinc(ii) acetate dihydrate with o-phenylenediamine and 2-hydroxy-5-methylisophthalaldehyde (K1) or 2-hydroxy-5-tert-butyl-1,3-benzenedicarboxaldehyde (K2), respectively, were characterized by X-ray crystallography, spectroscopic (UV-vis, fluorescence and IR), and thermal methods. In the complex [Zn2(MeO)1.4(OH)0.6(L1)]·2H2O K1, there are two binding sites in the macrocyclic ligand and they are occupied by zinc(ii) cations found in slightly distorted square pyramidal environment. The zinc(ii) cations are connected by slightly asymmetric oxo bridges with a Zn1–O14–Zn1[−x, −y + 1, −z + 1] angle of 104.8(2)°. In the dimer [Zn2(CH3COO)2(L2)]·2EtOH K2, there are two crystallographically independent binding sites both occupied by zinc(ii) cations. There is a significant difference between both complexes, since in K1 only one site is independent and the second is occupied due to the application of symmetry rules, and the geometry of both sites is identical. Thin layers of the obtained Zn(ii) complexes were deposited on Si(111) by the spin coating method and studied by scanning electron microscopy (SEM/EDS), atomic force microscopy (AFM), fluorescence spectroscopy and ellipsometry. In the non-absorbing range, the value of the refractive index exhibits normal dispersion between 1.8 and 2.1 for K1_1–K1_3; and between 2.3 and 2.6 for the K2 series of samples established for long wavelengths (longer than 500 nm). The Zn(ii) complexes and their thin layers exhibited fluorescence between 534–573 nm and 495–572 nm for the compounds and the layers, respectively. The highest quantum yield of fluorescence was achieved for K2 in benzene and in the solid state ϕ = 0.78 and 0.58, respectively. The influence of the solvent polarity on the fluorescence properties of the obtained complexes was studied. Additionally, DFT calculations were performed to explain the structures and electronic spectral properties of the complexes.
A critical discourse analysis of the dominant discourses being used to portray parasport coaches in the newspaper media

ABSTRACT The media is a powerful outlet capable of influencing our thoughts, feelings, and behaviours about a particular phenomenon, including parasport. Despite the limited empirical research, parasport coaches play an active role in raising awareness, education, and exposure for parasport, and thus it is important to study how they are portrayed in the media. The purpose was to examine how newspaper media portrayed dominant discourses surrounding parasport coaches. Data were collected using the LexisNexis Academic database to search for full-text newspaper articles from 1 January 1999 to 1 January 2019. Eighty-three articles were included for review from 66 print and online newspaper sources. We conducted a critical discourse analysis to examine the social, political, and/or cultural discourses surrounding parasport coaches in the media. Through an iterative analytical process, three discourses were revised over time. The first discourse offered contrasting views of what it meant to be an effective parasport coach. The second discourse encompassed the ways that parasport coaches were portrayed in terms of their personal characteristics and motives. The third discourse described the working environment for parasport coaches, including the challenges and facilitators for progressing the Paralympic Movement. Overall, our media analysis provided an overarching view of how the media shapes our perception of parasport coaches. We believe our results will raise awareness to the underrepresented voices of parasport coaches, which ultimately has the potential to promote parasport participation at recreational and competitive levels around the world.
The Effect of Using Social Media in the Modern Marketing Communication on the Shaping an External Employer’s Image

The aim of this article was to determine the significance of modern marketing communication channels used in the process of shaping the external image of an enterprise as an employer. An analysis of the world literature on marketing, management, marketing communication and human resource management was used to prepare the theoretical part. The results of the analysis indicate a cognitive and research gap regarding the use of modern communication channels for building the external image of an enterprise in the role of an employer. In order to reduce the gap, empirical studies were conducted among young Polish potential employees, in which the survey method was used to gather primary data. The collected data were subjected to statistical analysis, during which the following methods and statistical tests were applied: the analysis of average values, exploratory factor analysis, Kruskal–Wallis test (KW), Pearson chi-square independence test and V-Cramer coefficient analysis. The results of the analyses conducted indicate, inter alia, that statistically significant diversity was identified in the case of non-professional media in terms of respondents’ opinions on whether the employer’s image created by modern media is better than the employer’s image created on the basis of classical marketing communication channels. In the case of professional and non-professional media, the age of the respondents was not a differentiating feature. Moreover, neither for professional media nor for non-professional media were statistically significant dependencies identified between respondents’ opinions on the impact of actions undertaken by enterprises on shaping their positive external image as an employer and respondents’ opinions on whether the employer’s image created on the basis of modern marketing communication channels is more beneficial than the employer’s image created on the basis of classical marketing communication channels. The results obtained on the basis of the research have a cognitive and applicability value, characterized by originality. Until now, the importance of using modern marketing communication channels in shaping the employer’s external image has not been analysed. This also applies to enterprises operating on the energy market.
Quantified Explainability: Convolutional Neural Network Focus Assessment in Arrhythmia Detection

Background: Deep Learning (DL) models are able to produce accurate results in various areas. However, the medical field is specially sensitive, because every decision should be reliable and explained to the stakeholders. Thus, the high accuracy of DL models pose a great advantage, but the fact that they function as a black-box hinders their application to sensitive fields, given that they are not explainable per se. Hence, the application of explainability methods became important to provide explaination DL models in various problems. In this work, we trained different classifiers and generated explanation of their classification of electrocardiograms (ECG) by applying well-known methods. Finally, we extract quantifiable information to evaluate the explanation of our classifiers. Methods: In this study two datasets were built consisting of image representation of ECG that were labelled given one specific heartbeat: 1. labelled given the last heartbeat and 2. labelled given the first heartbeat. DL models were trained with each dataset. Three different explainability methods were applied to the DL models to explain their classification. These methods produce attribution maps in which the intensity of the pixels are proportional to their importance to the classification task. Thus, we developed a metric to quantify the focus of the models in the region of interest (ROI) of the ECG representation. Results: The developed classification models achieved accuracy scores of around 93.66% and 91.72% in the testing set. The explainability methods were successfully applied to these models. The quantification metric developed in this work demonstrated that, in most cases, the models did have a focus around the heartbeat of interest. The results ranged from around 8.8% in the worst case, until 32.4%, where the random focus would mean a value of approximately 10%. Conclusions: The classification models performed accurately in the two datasets, however, even though their focus is higher in the ROI of the figures compared with the random case, the results allow the interpretation that other regions of the figures might also be important for classification. In the future, it should be investigated the importance of regions outside the ROI and also if specific waves of the ECG signal contribute to the classification.
Risk Factors Associated With Dengue Fever Outbreak in Taiz Governorate, Yemen, 2018: Case-control Study

Background: Dengue Fever (DF) is a significant health problem in Yemen especially in the coastal areas. On November 6, 2018, Taiz governorates surveillance officer notified the Ministry of Public Health and Population on an increase in the number of suspected DF in Al Qahirah and Al Mudhaffar districts, Taiz governorate. On November 7, 2018, Field Epidemiology Training Program sent a team to perform an investigation. The aims were to confirm and describe the outbreak by person, place and time in Taiz governorate, and identify its risk factors.Methodology: Descriptive and case-control study (1:2 ratio) were conducted. WHO case definition was used to identify cases in Al Qahirah or Al Mudhaffar districts during August-November 2018. Control was selected from the same districts who did not suffer from DF. Predesigned questionnaire was used to collect data related to sociodemographic, behavioral and environmental characteristics. Bivariate and multivariate backward stepwise analyses were used. The adjusted odds ratios (aOR) and 95% confidence intervals (95%CI) were calculated. A P value < 0.05 was considered as the cut point for statistically significant. Epi info version 7.2 was used.Results: A total of 50 DF cases were found. Almost 52% were males and 76% were <30 years of age. The overall attack rate was 1/10,000 of the population. Case fatality rate was 4%. In multivariate analysis, not working (aOR = 26.6, 95% CI: 6.8–104.7), not using mosquito repellent (aOR = 13.9, 95% CI:1.4–136.8), wearing short sleeves/pants (aOR = 27.3, 95% CI: 4.8–156.8), poor sanitation (aOR = 5.4, 95% CI: 1.4–20.3), presence of outdoor trees (aOR = 13.2, 95% CI: 2.8–63.0) and houses without window nets (aOR = 15.7, 95% CI: 3.9–63.4) were statistically significant risk factors associated with DF outbreak. Eleven 11 (58%) of blood samples were positive for DF IgM.Conclusions: DF outbreak in Al Qahirah and Al Mudhaffar districts, Taiz governorate was confirmed. This study provides evidence-based information regarding the identified risk factors that contributed to the occurrence of this outbreak. Raising community awareness on the importance of personal protection measures and improving the sanitation services are strongly recommended.