Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya

Landslides are known as the world’s most dangerous threat in mountainous regions and pose a critical obstacle for both economic and infrastructural progress. It is, therefore, quite relevant to discuss the pattern of spatial incidence of this phenomenon. The current research manifests a set of individual and ensemble of machine learning and probabilistic approaches like an artificial neural network (ANN), support vector machine (SVM), random forest (RF), logistic regression (LR), and their ensembles such as ANN-RF, ANN-SVM, SVM-RF, SVM-LR, LR-RF, LR-ANN, ANN-LR-RF, ANN-RF-SVM, ANN-SVM-LR, RF-SVM-LR, and ANN-RF-SVM-LR for mapping landslide susceptibility in Rudraprayag district of Garhwal Himalaya, India. A landslide inventory map along with sixteen landslide conditioning factors (LCFs) was used. Randomly partitioned sets of 70%:30% were used to ascertain the goodness of fit and predictive ability of the models. The contribution of LCFs was analyzed using the RF model. The altitude and drainage density were found to be the responsible factors in causing the landslide in the study area according to the RF model. The robustness of models was assessed through three threshold dependent measures, i.e., receiver operating characteristic (ROC), precision and accuracy, and two threshold independent measures, i.e., mean-absolute-error (MAE) and root-mean-square-error (RMSE). Finally, using the compound factor (CF) method, the models were prioritized based on the results of the validation methods to choose best model. Results show that ANN-RF-LR indicated a realistic finding, concentrating only on 17.74% of the study area as highly susceptible to landslide. The ANN-RF-LR ensemble demonstrated the highest goodness of fit and predictive capacity with respective values of 87.83% (area under the success rate curve) and 93.98% (area under prediction rate curve), and the highest robustness correspondingly. These attempts will play a significant role in ensemble modeling, in building reliable and comprehensive models. The proposed ANN-RF-LR ensemble model may be used in the other geographic areas having similar geo-environmental conditions. It may also be used in other types of geo-hazard modeling.
Tajau Production Activities in Kuin Utara as a Learning Resources on Social Studies

Pemanfaatan konten lokal ke dalam pembelajaran IPS merupakan salah satu aspek yang mendukung tercapainya tujuan pembelajaran IPS. Pada praktiknya, pembelajaran IPS dominan menggunakan buku teks, sehingga penanaman sikap dan keterampilan terabaikan. Pembelajaran hanya mementingkan penanaman konsep kepada peserta didik. Tujuan penelitian ini mendeskripsikan produksi Tajau di Kuin Utara sebagai sumber belajar IPS. Penelitian menggunakan pendekatan kualitatif dengan metode deskriptif. Observasi, wawancara, dan dokumentasi digunakan sebagai teknik pengumpulan data. Reduksi data, penyajian data dan verifikasi data digunakan untuk teknik analisis data. Uji keabsahan data dilakukan dengan triangulasi yaitu triangulasi sumber dan perpanjangan waktu penelitian. Hasil penelitian menunjukkan pada kegiatan produksi Tajau terdiri dari beberapa tahapan dari persiapan, bahan, pembentukan Tajau, pengeringan, serta pemasaran. Berbagai tahapan tersebut dapat dijadikan sebagai sumber belajar IPS pada materi interaksi antar ruang, interaksi sosial, kegiatan ekonomi, dan perdagangan antar daerah.
Heavy metals accumulation in Hertia cheirifolia along the highway in Setif region, Algeria

Abstract. Belguidoum A, Lograda T, Ramdani M. 2020. Heavy metals accumulation in Hertia cheirifolia along the highway in Setif region, Algeria. Biodiversitas 21: 2786-2793. The aim of this work was to study the possibility of using Hertia cheirifoia spontaneous plant, generally present in uncultivated environments, as an indicator of pollution. The aerial parts of ten H. cheirifolia populations were collected along the East-West highway. Sampling is carried out in areas considered polluted or low contaminated in the region of Setif. Nine metallic trace elements concentrations (Pb, Zn, Cu, Fe, Mn, Cd, Ag, Bi, and Sb) were determined, for each population, by Atomic Absorption Spectrophotometry with Flame (AASF). Statistical analyzes were performed using mainly box and whisker diagrams, principal component analysis, and UPGMA. The concentrations detected for contaminants (MTE), in general, were very high, far exceeding international certified standards. The MTE concentrations in different populations were calculated for each metal and a positive correlation is observed. The order of MTE in the plant was found as follows: Fe > Zn > Mn > Pb > Sb > Cu > Bi > Ag > Cd. The Fe concentrations are very high in H. cheirifolia with an average of 3600 ± 1491.5 mg/kg. The populations of H. cheirifolia have shown a significant capacity to accumulate heavy metals. The presence of metal ions in the aerial parts of the plant designates that H. cheirifolia is a super accumulator of MTE and can be used as a bioindicator, which opens up prospects for its application to soils phytoremediation.
Determinants of Internationalization of SMEs using Partial Least Square

Internationalization provides various strategic benefits to the SMEs. It might increase the firm’s sales and revenue and be able to sustain in the economy for a longer period. However, the lack of information may become a challenge to the business, thus it is not easy to carry out the internationalization successfully due to limited resources and capabilities. On the other hand, influential factors on SMEs internalization have been discussed in developed countries, yet some developing countries are still struggling for empirical evidence. Some SMEs are facing difficulties in entering the global market as they have zero or less information on it while some of them successfully entered the market and can compete internationally. This indicates that every SMEs has the opportunity to internationalize their goods or services with proper understanding and better information about the global market. Prior studies have been carried out on factors influencing internationalization of SMEs however this study has been done specifically on internationalization of the SMEs in Malaysia. The determinants of internationalization investigated are internal factors, external factors, and networking, using partial least square method. The outcome of this study indicated that external factors, internal factors, and networking do not have any significant relationship with SMEs decision to internationalize.
Spatiotemporal Variation of Soil Compaction by Tractor Traffic Passes in a Croatian Vineyard

Vineyards are intensively managed with machinery, leading to negative impacts on soil compaction and moisture, which can decrease grape productivity and quality. However, there is a lack of investigations at the pedon scale related to the spatio-temporal distribution of soil compaction in vineyards. The aim of the study was to quantify the impacts of tractor traffic passes on bulk density (BD) and soil water content (SWC), in a Croatian vineyard. Soil properties were measured at different depths (0-10, 10-20 and 20-30 cm), seasons (before, during and after summer), and at three different zones subject to different management actions: grass covered inter-row (GC), tilled inter-row (T) and tilled row (R). The main effects of tractor traffic passes were found at the 0-10 cm soil depth. Soil BD was significantly higher after summer than before and during summer. At 0-10 cm, SWC was significantly lower during summer than before and after. At 10-20 and 20-30 cm depths, SWC was higher in all zones, showing no significant differences between them at each depth. Significant positive correlations between BD and SWC were identified in the T zone after summer, although increased traffic decreased the SWC. Wheel traffic increased BD, which we can attribute to the high SWC. Nevertheless, this increase was agronomically not relevant. Such findings have to be applied in order to control soil compaction in vineyards through environmentally-friendly soil management practices.
A Charge Balancing 1450 um2 PNP-Based Thermal Sensor for Dense Thermal Monitoring

Thermal sensors are used in CPU’s to detect hot spots and determine voltage levels. Since thermal gradients can be instruction dependent, there can be as many as 40 sensors/chip, which requires them to be compact. The industry standard for thermal sensors is the bandgap based PNP BJT sensor, because of its predictable and well-known physics. In this brief, a 1450 <inline-formula> <tex-math notation="LaTeX">$\mu {\mathrm{ m}}^{2}$ </tex-math></inline-formula> charge-sharing BJT-based thermal sensor, with a 50 <inline-formula> <tex-math notation="LaTeX">$\mu {\mathrm{ m}}^{2}$ </tex-math></inline-formula> sensing element, in 65nm is described. After a 1-point trim, the sensor exhibits a peak-to-peak accuracy of −2/+4°C over a 150°C range. After a 2-point trim, this becomes −2.5/+1.5°C over the same range. It also achieves a resolution of 0.22°C in an <inline-formula> <tex-math notation="LaTeX">$821~\mu \text{s}$ </tex-math></inline-formula> conversion time. These specifications, as well as the small area, make the sensor attractive for dense CPU thermal monitoring.
ANALYZING USER BEHAVIOUR AND PAGE VIEWS BASED ON VISITOR TRAFFIC IN KOLEJ UNIVERSITI POLY-TECH MARA WEBSITE USING GOOGLE ANALYTIC

The approach of the Internet has affected organizations in numerous features. The website has become an integral part of the organizations, from publicizing the organization's profile to giving web services. This study is to evaluate and analyze user behaviour pattern at Kolej Universiti Poly-Tech MARA (KUPTM) website using Google Analytics (GA) as one of the web analytic tools. Website design and its services have become a crucial part for Higher Education Institutions (HEIs) to attract users in visiting their website. Therefore, the use of web analytic tools can be an effective solution in measuring, analyzing and identifying the traffic sources for a website. Google tag was added to all KUPTM’s website and the measurement periods has been done between May 2019 and October 2019. Results have shown that the number of visitors is significantly higher during the weekdays and are affected by external stimulus. An external stimulus, such as promotional activities would increase the number of website visitors. The visit trends show weekly fluctuation in the numbers. It records high numbers of visits during the weekdays and fewer visitors during the weekend. The fluctuation could be due to the number of visits were from internal users, i.e. KUPTM employees and students. The capability of Google Analytics to analyze website traffics in terms of collecting data regarding page views, user interaction flow and visitor behaviour will benefit the organization for making a decision.
A NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data

Single-cell RNA sequencing has enabled researchers to quantify the transcriptomes of individual cells, infer cell types, and investigate differential expression among cell types, which will lead to a better understanding of the regulatory mechanisms of cell states. Transcript diversity caused by phenomena such as aberrant splicing events have been revealed, and differential expression of previously unannotated transcripts might be overlooked by annotation-based analyses. Accordingly, we have developed an approach to discover overlooked differentially expressed (DE) gene regions that complements annotation-based methods. We applied our algorithm to two datasets and discovered several intriguing DE transcripts, including a transcript related to the modulation of neural stem/progenitor cell differentiation.
A Novel Method of Music Generation Based on Three Different Recurrent Neural Networks

manuscripts Nowadays, music generation has become an important research field in the study of deep learning. Many different methods such as Generative Adversarial Networks (GAN) and Variational self-encoding (VAE) are already proved to be able to handle such task. In this paper, RNNs, such as LSTM and GRU, will be used to compose the core of the network to predict notes of the melody and generate new music. MIDI will be used as the general music format because of its simple and appropriate data structure that can be coded as a dictionary.
HABIT – a Webserver for interactive T cell neoepitope discovery

Neoepitopes generated by amino acid variants specifically found in pathogens or cancer cells are gaining momentum in immunotherapy development. HABIT (HLA Binding InTelligence) is a web platform designed to generate and analyse machine learning-based T cell epitope predictions for improved neoepitope discovery. Availability and Implementation HABIT is available at http://habit.evobiomed. com. Peptide-HLA binding predictions by NetMHCpan 4.0 and NetMHCIIpan 3.1 were implemented in a web application for interactive data exploration using shiny package powered by RStudio. Contact nosorio@med.uminho. pt Supplementary information Supplementary data and video tutorials are available online.
Analysis of Dual Phase Dual Stage Boost Converter for Photovoltaic Applications

In the previous two decades, the depletion of fossil fuels has led to applications with renewable energy sources. The approach for renewable energy application is to achieve eminent static boost ratio from with miniaturized ripple content in both current and voltage. The novel converter discussed in this paper is derived by combining the concept of interleaving and cascading of boost converters. The presented design has a dual phase boost converter followed by a stage of boost converter which as a whole acts like dual phase dual stage boost converter. The interleaving concept is utilized in dual phase boost converter to reduce the voltage current stress created in boosting process and its output is boosted by the dual stage boost converter which improves overall efficiency with respect to the existing systems. The converter is designed for a power rating of 200W with output voltage of 192V for an input voltage of 12V obtained from photovoltaic source at a switching frequency of 50KHz this illustrate the advantages over other existing converters . The different parameters of the proposed boost converter are contrasted with that of a conventional boost converter. Furthermore, the simulations results of the proposed converter are presented to validate the system design. The results exhibit that this converter achieves a predominant performance over other dc-dc boost converters by offering improved efficiency and voltage gain, while having lower input current ripple.
Propriétés statiques et dynamiques de sphères dures attractives : étude par simulation numérique

Ce travail de these porte sur l'etude des proprietes statiques et dynamiques de solutions de spheres dures attractives a courte portee. Pour ce faire, nous avons developpe au laboratoire un algorithme original appele Browian Cluster Dynamics (BCD). Avec cet algorithme, une assemblee de spheres dures attractives et browniennes peut etre relaxee depuis une temperature infinie jusqu'a son etat d'equilibre a une temperature donnee en suivant une trajectoire realiste dans l'espace des phases. Cette technique est basee sur le mouvement cooperatif diffusionnel des amas transitoires formes au cours de la reaction d'agregation. Cela nous permet d'acceder au proprietes statiques, cinetiques et dynamiques du systeme, a tout instant, meme loin de l'equilibre thermodynamique. De plus, la technique BCD permet de prendre en compte la rigidite des liens formes entre les spheres [P05]. En limitant la portee de l'interaction a une adhesion de contact, on a pu empecher la separation de phase et etudier ainsi les phenomenes de percolation [P0l] et de transition vitreuse en diminuant la temperature. Ainsi nous avons pu montrer que les verres attractifs n'existent qu'a temperature nulle [P03]. En rendant les liens formes rigides, nous avons pu nous affranchir des phenomenes de cristallisation naturellement presents dans ce type de systeme et etudier la cinetique de separation de phase de type liquide-liquide ainsi que les phenomenes de percolation dans la solution [P02]. L'introduction de la flexibilite des liens nous a permis d'etudier son influence sur le diagramme de phase (cristallisation) mais aussi sur les phenomenes d'agregation irreversible [P06]. Cela nous a permis de comprendre la structure locale des amas formes au cours de certains processus d'agregation irreversible au cours desquels les amas se restructurent par glissement des particules les constituant. Enfin, nous nous sommes interesses aux proprietes de transport de matiere dans les gels formes par agregation irreversible. Pour cela nous avons etudie le mouvement brownien d'un traceur de taille variable dans des gels fabriques a differentes concentrations et conditions d'agregation [P04]. Nous avons pu etablir une loi phenomenologique reliant le coefficient de diffusion du traceur au volume accessible a son centre de masse. La loi d'echelle gouvernant la transition entre diffusion et localisation du traceur est bien expliquee par la theorie de la percolation.
Effect of Evodia rutaecarpa (Juss) Benth extract on Alzheimer disease in mice

Purpose: To investigate the protective effect of Evodia rutaecarpa (Juss.) Benth. extract (ERBE) against Alzheimer's disease in 3xTg-AD mice. Methods: The cognitive function of 3xTg-AD mice was assessed using Morris water maze test. The levels of amyloid beta deposits and NeuN in the mouse hippocampus were evaluated by immunohistochemistry. Brain neurotrophic derived factor (BDNF) and tyrosine kinase B (TrkB) expressions were determined by western blot analysis. Results: ERBE treatment significantly ameliorated learning and memory deficits in AD mice, as shown by increased time spent in the target zone during probe tests. The escape latency in the animals treated with 400 mg/kg ERBE (20.5 ± 1.3 s) was significantly higher than untreated 3xTg-AD mice (12.4 ± 1.3 s, p < 0.01). In addition, ERBE significantly decreased Aβ deposits, increased NeuN-positive cells, and upregulated the expressions of BDNF (1.4 ± 0.2, p < 0.05) and TrkB (1.1 ± 0.2, p < 0.05) in 3xTg AD mice. Conclusion: The results suggest that ERBE administration may be a useful strategy for treating memory impairment induced by several neurodegenerative diseases. Keywords: Evodia rutaecarpa, Alzheimer, Memory impairment, NeuN-positive cells
Distribution models of the Spanish argus and its food plant, the storksbill, suggest resilience to climate change

espanolEl cambio climatico representa un importante factor de riesgo para la supervivencia de las mariposas y de otras especies. En este estudio se han elaborado modelos predictivos que muestran las zonas potencialmente favorables para un lepidoptero endemico de la peninsula iberica, la morena espanola (Aricia morronensis), y las plantas nutricias de sus larvas, los alfilerillos o agujas de pastor (genero Erodium). Se ha utilizado el programa informatico MaxEnt para elaborar modelos de la distribucion de las especies en el presente y en el futuro, bajo dos escenarios de condiciones climaticas, basadas en variables climaticas y topograficas. Los resultados muestran que el cambio climatico no afectara significativamente a la distribucion de A. morronensis, sino que incluso podria favorecer levemente su expansion. Algunas de las plantas podrian sufrir una pequena reduccion de la favorabilidad del habitat. Sin embargo, la interaccion entre la mariposa y sus plantas nutricias probablemente no se vea afectada significativamente por el cambio climatico. EnglishClimate change is an important risk factor for the survival of butterflies and other species. In this study, we developed predictive models that show the potentially favourable areas for a lepidopteran endemic to the Iberian Peninsula, the Spanish argus (Aricia morronensis), and its larval food plants, the storksbill (genus Erodium). We used species distribution modelling software (MaxEnt) to perform the models in the present and in the future in two climatic scenarios based on climatic and topographic variables. The results show that climate change will not significantly affect A. morronensis distribution, and may even slightly favour its expansion. Some plants may undergo a small reduction in habitat favourability. However, it seems that the interaction between this butterfly and its food plants is unlikely to be significantly affected by climate change.
ICT literacy with google suite for education (GSFE) in junior high school with different academic abilities

The ICT Literacy skills of the Student are very important, but in fact, the ICT Literacy skills of the student have not appropriate with the expectation. In this research, researchers tried to use the Google Suite for Education in learning to improve ICT Literacy skills of the students with different academic abilities. This research was using quantitative methods and the type of the research was quasi experimental. The research respondents consisted of two classes, namely a control class as many as 32 students and the experimental class as many as 32 students. The results showed that, after using Google Suite for Education in learning, it was found that the percentage of knowledge value of ICT Literacy ability for the high control class category is 59% for Access, 69% for Manage, 41% for Integrate, 56% for Evaluate and 44% for Create. The medium categories is 31% for Access, 19% for Manage, 38% for Integrate, 25% for Evaluate and 56% for Create. The Low categories is 9% for Access, 13% for Manage, 22% for Integrate, 19% for Evaluate and 44% for Create. The value of ICT Literacy ability skills for high control class is 53% for Access, 69% for Manage, 66% for Integrate, 75% for Evaluate and 34% for Create. The medium categories is 44% for Access, 25% for Manage, 0% for Integrate, 0% for Evaluate and 50% for Create. The Low categories is 3% for Access, 6% for Manage, 34% for Integrate, 25% for Evaluate and 16% for Create. While the experimental class it was found that the percentage of knowledge value of ICT Literacy ability for the high control class category is 72% for Access, 78% for Manage, 53% for Integrate, 84% for Evaluate and 59% for Create. The medium categories is 25% for Access, 13% for Manage, 38% for Integrate, 9% for Evaluate and 34% for Create. The Low categories is 3% for Access, 9% for Manage, 9% for Integrate, 6% for Evaluate and 6% for Create. The value of ICT Literacy ability skills for high experimental class category is 63% for Access, 84% for Manage, 78% for Integrate, 78% for Evaluate and 41% for Create. The medium categories is 38 % for Access, 13% for Manage, 0% for Integrate, 0% for Evaluate and 47% for Create. The Low categories is 0% for Access, 3% for Manage, 22% for Integrate, 22% for Evaluate and 13% for Create. The score of the independent sample t-test from the ICT Literacy knowledge post-test shows that there is a significant difference between the control class and the experiment with the sig (2-tailed) value is 0.046 < 0.05 (p = < 0.05). Then the score of the independent sample t-test from the ICT Literacy skills post-test shows that there is a significant difference between the control class and the experiment with the sig (2-tailed) value is 0.045 < 0.05 (p = < 0.05). (RESULT) It can be concluded that the use of Google Suite For Education can improve ICT literacy knowledge dan skills of Junior High School students.