Miracle-dz/UniFAR-FTUs huggingface dataset:
Proposed Business Strategy for a Nonformal Architecture-Related Education Start-up (Case Study: Klass Academy)

Architecture is arguably one of the most complex and broad subjects, both for academic study and professional practice. Thus, many architecture students and practising architects participate in nonformal architecturerelated learning activities. The COVID-19 pandemic has created an unprecedented impact on both formal and nonformal education systems worldwide; with the inevitable closure of schools and institutions, the sudden shift to virtual learning becomes mandatory. These drastic digital accelerations have caused the customers’ behaviour to change adaptively the use of online education service and the market demands in nonformal education show an increasing trend. This paper presents a contextual and relevant business strategy for Klass Academy a startup company in nonformal educational business amid the pandemic and post-pandemic scenarios. It will underpin how the company could maintain its competitiveness by first analysing the existing business condition both externally and internally, using several tools and theories from the literature study: Market Analysis, Porter’s 5 Forces, and Research-Based View Analysis. The findings from conducted analysis determine the proposed business strategy recommendations with the use of Ansoff matrix as an analysing tool. The formulated strategies in this paper are categorised as Product Development Strategy and Diversification Strategy.
IoT combined with Block-Chain and 5G infrastructure for its application and development : A Review

It is a modern type of technology that empowers virtual and physical artefacts to interact and provide digitized services for each other, and includes the Internet of Things (IoT). But it has some benefits, but raises problems of single point of failure, anonymity, accountability, and data integrity due to the new structured design. Challenges like these stands in the path of the introduction of all the most interesting Internet of Things technologies. Bringing the Internet of Things through the public ledger might fix these issues. Decentralized ledger systems are comprised of blockchain as well as distributed ledgers. The introduction of the Internet of Things (IoT) to the blockchain will offer tremendous advantages. Blockchain integration in this paper offers a detailed exploration of how to combine the IoT technology with the IoT scheme. It is followed by reviewing the basic framework and addressing the problems inherent in the system's integration, explaining the advantages of it, and describing ways in which the blockchain can help to overcome such problems. Blockchain as a Service for IoT can illustrate how different protocol concepts can be applied using different service types on blockchain. After this, there would be an important section about the integration of artificial intelligence (AI) into the Internet of Things (IoT) and blockchain. Finally, potential study avenues will focus on ways of applying the Internet of Things (IoT) with blockchain are suggested. The open issues and challenges of 5G-enabled IoT for blockchain-based Industrial automation are also analyzed in the text.
Workers’ Observation of Uncivil Leadership: Is Tolerance for Workplace Incivility a Gendered Issue?

In the context of organizational psychology, this study aimed to examine workers’ gender biases in tolerance when observing leaders’ incivility in the workplace. Based on role congruity theory, this paper proposes analyzing the gender differences in workers’ evaluations of awareness and tolerance of workplace incivility considering the gender of a leader who commits different incivility behaviors against an employee. Moreover, we posit that the type of incivility is also gendered. A sample of 547 workers (male and female) randomly played the roles of observers whereby they rated a scenario describing a leader (male or female) who publicly humiliates and openly doubts an employee’s judgment (overt incivility—agentic), or leaves out and pays little attention (covert incivility—communal) to an employee. The results indicate that male workers tolerated incivility less when role incongruence occurred, such as when male leaders used covert incivility. In contrast, female workers were consistently less tolerant when role congruence occurred with the leader’s gender, such as when male leaders were overtly uncivil. Furthermore, compared to males, female workers were more aware and less tolerant of incivility when a female leader was overtly or covertly uncivil. This paper provides empirical insights and fulfills an identified need to study how gender bias in workplace incivility can be enabled in organizations. The implications for practice can drive the development of prevention strategies within the field of management and human resources.
Architectural and Parametric Design Evaluation for Enhancing Adaptive E-Learning

Learning is any technique that in living creatures prompts never-ending limit change and which isn't solely a direct result of characteristic advancement of developing. The complexity associated with learning and the fact that it start from birth till death makes it a cumbersome procedure. It incorporates certainly more than reasoning: the whole character - resources, feelings, impulse, values and will. Many conventional approaches fail to inculcate the above parameters which increase the cumbersomeness of learning coupled with problems of assimilation. If we don't have the will to learn, we won't learn and if we have learned, we are truly changed by one way or another. The focus of this paper is to propose an architecture that was designed with special emphasis on enhancing adaptive elearning. This architecture uses the learning style of learner to produce learning contents peculiar to such learner and as such difficulties associated with comprehension is totally aborted and thereby making learning easier.
Probabilistic Human Health Risk Assessment of Fe, As and Mn in the Groundwater of Dhamrai Upazila, Dhaka, Bangladesh

In Bangladesh, groundwater is the most important source of potable water. This study aims to investigate the amount of Fe, Mn and As in groundwater and to assess the health risks through oral ingestion of these trace metals. Groundwater samples were collected from 20 sample sites throughout the Baishakanda union, Dhamrai upazila for source appointment and risk assessment studies. The concentrations of Fe, Mn, and As were measured using an atomic absorption spectrophotometer. Mean concentration of trace metal level in respectively descending order as Fe>Mn>As. The study found an average concentration of Fe (1.8 mg/L), Mn (0.74mg/L), and As (0.038 mg/L) in the groundwater sample where the mean value of Fe and Mn exceeds the DoE, WHO, and USEPA standards limit. On the other hand, the mean concentration value of As exceeds the WHO and USEPA standards limit. The non-carcinogenic human health risk was calculated by justifying HQ (Hazard Quotient) and HI (Hazard Index). A child (11.4056) is more vulnerable to non-carcinogenic human health risk than an adult (5.3769). Furthermore, As pollution in groundwater samples was found to pose a high carcinogenic risk, with children (3.84×10-3) being more vulnerable to carcinogenic risk than adults (1.81×10-3). The research area's groundwater was with a significant level of non-carcinogenic as well as cancer-risk (As) susceptibility in the local population.
Brain Tumor Detection using Image Processing

It is very difficult for doctors to detect a brain tumor at an early stage. MRI images are more susceptible to noise and other environmental disturbances. Therefore, it becomes difficult for doctors to determine the tumor and its causes. So, we came up with a system in which the system will detect a brain tumor from images. Here we are converting an image to a grayscale image. We apply filters to the image to remove noise and other environmental clutter from the image. The system will process the selected image using preprocessing steps. At the same time, different algorithms are used to detect the tumor from the image. But the edges of the image will not be sharp in the early stages of a brain tumor. So here we are applying image segmentation to the image to detect the edges of the images. We have proposed an image segmentation process and a variety of image filtering techniques to obtain image characteristics. Through this entire process, accuracy can be improved. This system is implemented in the Matlab.
Asymmetrical Rotor Skewing Optimization in Switched Reluctance Machines Using Differential Evolutionary Algorithm

Minimizing torque ripple in electrical machines for a given application is not a straightforward task, especially when the application imposes certain constraints. There are many techniques to improve torque ripple, either design-based or control-based. In this paper, a new geometry for switched reluctance machines based on rotor poles skewing is proposed to minimize torque ripple. This paper describes a methodology to design an asymmetrical skew rotor—switched reluctance machine using a multi-objective differential evolutionary algorithm. The main parameters of the optimization process are defined, as is the optimization methodology to obtain an improved design with less torque ripple than a conventional one. Moreover, the analytical formulas used in the optimization method, as well as the optimization technique, are deduced and explained in detail. The mathematical model used to simulate the electrical machine and the power converter are also described. Two-dimensional and three-dimensional finite element analyses were also conducted to assess whether 3D effects (end-effect and axial fringing field) affected the results. Finally, a particular case of a high-voltage direct current-controlled generator in the base of the More Electric Aircraft (MEA) concept or an energy storage system as an electrical machine was analyzed, and the results for the improved configuration were compared with those for the conventional one.
Mercury cycling during acid rain recovery at the forested Lesní potok catchment, Czech Republic

From 2011 to 2019, mercury (Hg) stores and fluxes were studied in the small forested catchment Lesní potok (LES) in the central Czech Republic using the watershed mass balance approach together with internal measurements. Mean input fluxes of Hg via open bulk deposition, beech throughfall and spruce throughfall during the periodwere 2.9, 3.9 and 7.6 μg m−2 year−1, respectively. These values were considerably lower than corresponding deposition Hg fluxes reported in the early years of the 21st century from catchments in Germany. Current bulk precipitation inputs at unimpacted Czech mountainous sites were lower than those in Germany. The largest Hg inputs to the catchment were via litterfall, averaging 22.6 and 17.8 μg m−2 year−1 for beech and spruce stands. The average Hg input, based on the sum of mean litterfall and throughfall deposition, was 23.0 μg m−2 year−1, compared to the estimated Hg output in runoff of 0.5 μg m−2 year−1, which is low compared to other reported values. Thus, only ~2% of Hg input is exported in stream runoff. Stream water Hg was only weakly related to dissolved organic carbon (DOC) but both concentrations were positively correlated with water temperature. The estimated total soil Hg pool averaged 47.5 mg m−2, only 4% of which was in the O‐horizon. Thus Hg in the O‐horizon pool represents 72 years of deposition at the current input flux and 3800 years of export at the current runoff flux. Age‐dating by 14C suggested that organic soil contains Hg from recent deposition, while mineral soil at 40–80 cm depth contained 4400‐year old carbon, suggesting the soil had accumulated atmospheric Hg inputs through millennia to reach the highest soil Hg pool of the soil profile. These findings suggest that industrial era intensification of the Hg cycle is superimposed on a slower‐paced Hg cycle during most of the Holocene.
Konservasi Genetik Ikan Kakap Putih (Lates calcarifer, Bloch, 1790) Melalui Pendekatan DNA Barcoding dan Analisis Filogenetik di Sungai Kumbe Merauke Papua

Genetic data is very important as the basis for fisheries management and conservation related to connectivity between regions and population structure. White snapper Fish is one of the fish that has high economic value which is utilized either by its meat or by its swim bladder. This research was aimed to identify the species of white snapper fish were collected from the Kumbe River, Merauke Regency, Papua using the Cytochrome Oxidase I gene. The results shows that this sample is a species of Lates calcarifer, Bloch, 1790 with 100% similarity. The haplotype of white snapper fish from Merauke has similarities with the haplotype from Australia, Malaysia and China, this indicating that there is gene flow and connectivity among those locations. The phylogenetic tree explains the grouping of species based on genetic distance and the level of DNA Sequences similarities. Molecular approach can be used in the management and conservation of fish with high economic value.
Strain-engineering on mechanical and electronic properties of group IV-V two-dimensional semiconductors

Due to the attractive physical properties, group IV-V materials (A3B, A = C, Si, Ge and B = N, P, As) have been received much attention in recent years. In this paper, first-principles calculations have been performed to investigate the elastic and electrical properties in two-dimensional (2D) A3B materials. The in-plane stiffness, Poisson’s ratio, Young’s modulus and ultimate strength of monolayer A3Bs along armchair and zigzag direction are calculated. The band gap of monolayer C3N can be modified significantly by the application of strain engineering. We predicted the electron and hole mobility in the armchair (zigzag) direction, rather high and highly anisotropic. Monolayer Ge3N exhibits an extremely high electron mobility of 3.46×105cm2V−1s−1 along the zigzag direction. The high mobility and anisotropic characteristics endow A3Bs with many potential applications in the field of microelectronics and optoelectronic devices.
NEUROTICISM AND NEGATIVE RELIGIOUS COPING: THE MEDIATING AND MODERATING ROLES OF RELIGIOSITY AND THE IMAGE OF GOD

Several studies have found correlations between neuroticism as one of personality traits and used negative religious coping strategies in difficult life situations, which in turn has a negative impact on physical and mental health outcomes. Therefore, it is important to explore the explanatory factors for the association between neuroticism and negative religious coping. This study aims at investigating whether there is a mediator effect of the image of God and a moderator effect of religiosity on the relation between neuroticism and the use of negative religious coping strategies. The group of respondents consisted of 336 Latvian-speaking Roman Catholic adults aged 18 to 86 (M = 44.42; SD = 12.90, 74.9 % women). The data was collected by an online survey with the following instruments: the Brief RCOPE, the God Image Scale, the Latvian Personality Inventory LPAv-3, the Centrality of Religiosity Scale CRS-5 and the Socio-demographic Inventory. The results of this study revealed that the image of God has a partial mediating effect on the relation between neuroticism and negative religious coping. The study also indicated that religiosity is a moderator in relationship between neuroticism and negative religious coping – the higher the degree of religiosity the closer the relation between neuroticism and negative religious coping. The outcomes of the study can be used as basis for religious interventions in psychotherapy, as well as health-care consulting and pastoral counselling aimed at reducing the negative impact of negative religious coping on physical and psychological health.
SCCDNet: A Pixel-Level Crack Segmentation Network

Cracks are one of the most serious defects that threaten the safety of bridges. In order to detect different forms of cracks in different collection environments quickly and accurately, we proposed a pixel-level crack segmentation network based on convolutional neural networks, which is called the Skip Connected Crack Detection Network (SCCDNet). The network is composed of three parts: the Encoder module with 13 convolutional layers pretrained in the VGG-16 network, the Decoder module with a densely connected structure, and the Skip-Squeeze-and-Excitation (SSE) module which connects the feature map shaving the same resolution in the Encoder and Decoder. We used depthwise separable convolution to improve the accuracy of crack segmentation while reducing the complexity of the model. In this paper, a dataset containing cracks collected in different scenes was established, and SCCDNet was trained and tested on this dataset. Compared with the advanced models, SCCDNet obtained the best crack segmentation performance, while F-score reached 0.7763.
An assessment of residential satisfaction in public housing using Housing Habitability System Framework in Gombe, Northeast Nigeria

Residential satisfaction has been employed to assess housing environments across several disciplines. However, measurement of variables remains an issue across large and small samples. This study assesses residential satisfaction in Gombe, Northeast Nigeria using the Housing Habitability System framework to ascertain it’s consistency across different locations and sample sizes. A mixed methodology including informal interviews and a questionnaire survey of 41 public housing residents in Gombe analysed in SPSS for descriptive and inferential statistics revealed that findings were consistent with four characteristics of residential satisfaction studies employing the framework identified across the country from previous studies. Specifically, results established that residents of public housing in Gombe were generally dissatisfied with their housing environments. Additionally, satisfaction followed the dwelling-neighbourhood-management sequence found in literature. Eight components extracted from principal component analysis reflect housing conditions in the study area. The study concludes that measurements based on tenets of Housing Habitability System framework produces consistent results across regions and different sample sizes and is beneficial for comparative purposes towards improvement of residential satisfaction research in Nigeria. Keywords: Gombe, Housing Habitability, Nigeria, Northeast, Public Housing, Residential satisfaction
SOSIALISASI EKONOMI RUMAH TANGGA DAN INVESTASI UNTUK PENANGGULANGAN RENTENIR

Masyarakat dusun Baran dan Putat Wetan belum menyadari pentingnya mengelola keuangan keluarga dengan baik dan pada saat mengalami kesulitan keuangan merela cenderung meminjam uang ke rentenir yang memberikan bunga pinjaman tinggi. Kegiatan sosialiasi ini bertujuan untuk memberikan : (1) pemahaman kepada warga terkait pentingnya pengelolaan keuangan yang baik dalam rumah tangga, (2) pemahaman kepada warga tentang pentingnya investasi jangka panjang, (3) edukasi kepada warga terkait dampak negatif kredit dari rentenir. Metode yang digunakan adalah pendampingan, penyuluhan/pelatihan, dan diskusi. Hasil dari pengabdian ini adalah munculnya kesadaran dari masyarakat untuk mengelola keuangan keluarga dengan baik, menyadari pentingnya menabung, mampu membuat skala prioritas kebutuhan dan mampu memilih tempat yang lebih aman jika memerlukan dana (tidak lagi mengandalkan rentenir).
Increased representation of the non-dominant hand in pianists demonstrated by measurement of 3D morphology of the central sulcus

Post-mortem and magnetic resonance imaging (MRI) studies of the central sulcus, as an indicator of motor cortex, have shown that in the general population there is greater representation of the dominant compared to the non-dominant hand. Studies of musicians, who are highly skilled in performing complex finger movements, have suggested this dominance is affected by musical training, but methods and findings have been mixed. In the present study, an automated image analysis pipeline using a 3D mesh approach was applied to measure central sulcus (CS) asymmetry on MR images obtained for a cohort of right-handed pianists and matched controls. The depth, length, and surface area (SA) of the CS and thickness of the cortical mantle adjacent to the CS were measured in each cerebral hemisphere by applying the BrainVISA Morphologist 2012 software pipeline to 3D T1-weighted MR images of the brain obtained for 15 right-handed pianists and 14 controls, matched with respect to age, sex, and handedness. Asymmetry indices (AIs) were calculated for each parameter and multivariate analysis of covariance (MANCOVA), and post hoc tests were performed to compare differences between the pianist and control groups. A one-way MANCOVA across the four AIs, controlling for age and sex, revealed a significant main effect of group (P = 0.04), and post hoc analysis revealed that while SA was significantly greater in the left than the right cerebral hemisphere in controls (P < 0.001), there was no significant difference between left and right SA in the pianists (P = 0.634). Independent samples t-tests revealed that the SA of right CS was significantly larger in pianists compared to controls (P = 0.015), with no between-group differences in left CS. Application of an image analysis pipeline to 3D MR images has provided robust evidence of significantly increased representation of the non-dominant hand in the brain of pianists compared to age-, sex-, and handedness-matched controls. This finding supports prior research showing structural differences in the central sulcus in musicians and is interpreted to reflect the long-term motor training and high skill level of right-handed pianists in using their left hand.
Effect of temperature changes on antioxidant enzymes, and oxidative stress in Nerita oryzarum collected along Atomic Power Plant sites

Effect of heated effluent released from the Tarapur Atomic Power Station, India were investigated by analyzing the level of antioxidant enzyme activities on Nerita oryzarum. Seasonal variation of antioxidant enzyme (LPO, CAT, SOD, GPx and GST) were determined at six location. CAT increases in the pre-monsoon season (range of 0.12 to 2.1 mM of H2O2 consume/min/mg of protein) and LPO activities also increasing trend (range of 0.4 to 2.3 nM of MDA/min/mg) during same pre-monsoon at NIII and SII respectively. Enzyme values encountered high during pre-monsoon, which indicating that increased in temperature is resulting in increased activities. In experimental condition also (300C, 350C, 400C and 250C as control), antioxidant enzyme activities were in increasing trend due to raises of water temperatures. Present study was prima facie work related to physiological response of N. oryzarum related to heated effluent released from atomic power station and useful as baseline information for future research work.
Intake of lead and cadmium from edible vegetables cultivated in Tarragona Province, Spain

Lead and cadmium concentrations were determined in 360 samples belonging to 12 different species of edible vegetables from Tarragona Province, Spain. The samples were subjected to lead and cadmium analyses by ICP-MS. Results were compared with those from 1989 (both metals) and 1994 (lead) surveys. Only onion and parsley showed increases in lead levels during the period 1989 - 2001, while pronounced decreases were observed in the remaining species. In turn, in all species cadmium levels were markedly lower than the concentrations found in the 1989 survey. The average lead and cadmium contents found in edible vegetables from Tarragona Province have been 0.073 and 0.010 μg/g, respectively. These values are of the same order of magnitude than recent levels reported for other countries. According to data of the current study, contribution of edible vegetables to the total daily intake of lead and cadmium would be 14.6 and 2.02 μg, respectively.