Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multi-Criteria Decision-Making Approach for Ideal Business Location Identification

Location has always been a primary concern for business startups to be successful. Therefore, much research has focused on the problem of identification of an ideal business site for a new business. The process of ideal business site selection is complex and depends on a number of criteria or factors. Since the ultimate goal of all businesses is to increase customer footprints and to thus increase sales, criteria including traffic accessibility, visibility, ease of access, vehicle parking, customers availability, etc. play important roles. In other words, we can say that optimal business site selection is a multi-criteria decision-making (MCDM) problem. MCDM is used to identify an optimal solution or decision out of many alternatives by utilizing a number of criteria. In mathematics, there exist a number of structured techniques for organizing and analyzing complex decisions, for instance, AHP, ANP, TOPSIS, etc. In this work, we present a hybrid of two such techniques to solve the MCDM problem for an optimal business site selection given a set of candidate sites. The proposed approach is based on the AHP (Analytic Hierarchy Process) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) approaches. The reason for using the proposed hybrid approach is multi-fold. The hybrid approach reduces the computational complexity and require less manual effort, thus improving the efficiency and accuracy of the proposed approach. Given a set of candidate locations for a new business, the proposed approach ranks the candidates. Thus, the candidate locations with higher ranks are identified as suitable or ideal. The approach comes up with the ranking of all of the candidate locations, thus giving business managers room to make calculated decisions. To show the effectiveness of the proposed approach, a detailed step-by-step case study is given to identify an ideal location in New York City for a new gas station. Furthermore, an experimental evaluation is also presented using a number of real New York City datasets.
Study on Phytochemical Profile and Antioxidant Activity of Achyranthes aspera Whole Plant

This study aims to establish qualitative as well as quantitative phytochemical profiles and determine the free radical scavenging activity of phytochemical constituents of the entire plant of Achyranthes aspera Linn. The extraction of dried plant material was carried out by cold maceration with methanol followed by partitioning with ethyl acetate. Preliminary phytochemical screening of the plant was carried out by performing various chemical tests. Phenolic and flavonoid contents were determined by Folin-Ciocalteu and Aluminum chloride methods, respectively. Antioxidant activity was studied using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging method. The result of study revealed the presence of flavonoids, alkaloids, terpenoids, phytosterols, tannins, saponins, phenolic compounds, and carbohydrates. Total phenolic content, total flavonoids content, and antioxidant activity of the extract were found as 209.007 μg GA/mg, 17.59 μg QE/mg, and 25.12% (100 μg/mL), respectively. The study showed that plant could be a source of antioxidant compounds.
NMR Study of Local and Long Range Dynamics of Adsorbed Water in Zeolite NaY(Br)

Abstract The dynamics of partially deuterated water in zeolite NaY(Br) are investigated by a combination of several NMR methods for two different loadings, 4 water molecules and 18 water molecules per supercage. Information on local dynamics is obtained by 1H and 2H NMR spin-lattice relaxation, 2H NMR solid-echo spectra and 2H NMR stimulated echo decay curves. The water long range diffusion has been studied by 1H NMR static field gradient experiments. The most important findings are as follows: The mechanism of water dynamics depends strongly on the degree of loading. This is clearly reflected in both, local and long range motion. The intermediate 2H NMR spectra might be explained referring to a model proposed by O'Hare et al.: It is based on two different populations of water molecules performing tetrahedral jumps respectively C2-flips of their OH bonds. Alternative models for the local water dynamics, distorted tetrahedral jumps and a distribution of correlation times, are also discussed.
Resiliencia y Autoeficacia como mecanismos psicológicos que favorecen el éxito académico

This study examines how past academic success is related with future academic success, through two underlying psychological mechanisms, i.e., academic resilience and self-efficacy. The sample is composed of 773 students from a Spanish University, who completed self-report questionnaires on the psychological variables (i.e., resilience and self-efficacy), and gave their consent to access to their grade’s classifications during the pre- and post- questionnaires’ application. Structural Equation analyzes reveal that the relationship between past and future academic success is partially mediated by resilience and academic self-efficacy. That is, although past academic success has a significant influence on the academic success of students in the future, resilience and academic self-efficacy also increase academic success. According to the results, the theoretical and practical implications of the study are presented, as well as its limitations.
Performance of China's journals indexed in SCIE: An evaluation based on megajournal metrics

The Chinese government has issued a series of policies and measures in recent years to enhance the international impact of its academic journals. This study aimed to evaluate the effect of such support measures on the overall performance of China's Science Citation Index Expanded (SCIE)‐indexed journals. We aggregated China's SCIE journals together into a virtual, multi‐disciplinary ‘megajournal’, which we call Mega China. Based on Journal Citation Reports from 2015 to 2019, we compared Mega China with the two largest real megajournals, Scientific Reports and PLoS ONE, in terms of journal output and citation performance. The number of SCIE‐indexed journals in China and their impact factors have increased continuously every year. The total citations and h‐index of Mega China reached 489,036 and 247 in 2019, respectively. The immediacy index and impact factor of Mega China have gradually increased, in contrast to those of Scientific Reports and PLoS ONE, and reached 0.735 and 2.601, respectively, in 2019. Our analysis, by viewing all China's SCIE journals as one megajournal, provides evidence that their performance has improved under the Chinese government's new policies. Further improving China's academic journals will require fundamental reforms of the traditional Chinese publishing system.
Isolation and in vitro screening of plant growth-promoting rhizobacteria from Solanum lycocarpum St. Hil., an endemic plant of the Brazilian tropical savannah

Solanum lycocarpum St. Hil. is an endemic plant of the Brazilian tropical savannah (cerrado) that is capable of growing on acidic and nutrient-poor land, an ability which attracts attention to its rhizospheric microbiota, including plant growth-promoting rhizobacteria (PGPR). In this work, 131 bacterial strains were isolated from rhizosphere samples of S. lycocarpum and were tested in vitro for direct mechanisms of plant growth promotion (biological nitrogen fixation, phosphate solubilization and indolic compounds production) and enzyme activities. The 26 most promising isolates selected from the previous tests were used to continue the screening. Ten of these isolates showed antifungal activity against fourteen phytopathogenic fungi and twelve isolates showed antimicrobial activity against at least one of the three clinical pathogens evaluated. Seven of the 26 isolates were identified at random as belonging to the genera Bacillus, Burkholderia and Microbacterium, are PGPR and have potential to participate in more in-depth research aimed at the development of bio-inputs, especially the Bacillus strains. Key words: Biological control, biotechnological potential, cerrado, plant growth-promoting rhizobacteria (PGPR), phytopathogenic fungi, Rhizosphere, Solanum lycocarpum St. Hil.
Modeling South America regional smoke plume: aerosol optical depth variability and shortwave surface forcing

2In particular, the paper makes the distinction between static and dynamic runs, but this is not explained thoroughly in the text. I became particularly confused on reading the last few sentences of section 2. Does the dashed line in Figure 2 represent the static model? (Apparently, yes). Do the separate lines in Figure 2 represent the dynamic model? (Apparently, yes). This distinction should be made clearer, and discussed somewhat earlier in the paper (maybe around lines 10-15, page 17471, at which point the aerosol radiative models are first mentioned). Authors: We agree that a clear distinction between and discussion about static and dynamic runs is needed. Static run corresponds to the model simulation performed prescribing elsewhere in the model domain a fixed aerosol optical model based on the reference optical model (Fig.2 dashed line). Dynamic run corresponds to the simulation prescribing a spatially varying optical properties based on mean aerosols optical properties from each AERONET sites (Fig.2, separate lines). Hoelzemann et al. (2009) defined areas of influence of each of those AERONET sites by correlating spatially aerosol optical depth variability over a specific site with the AOD field over South America during biomass burning season(using MODIS data). Their developed a map of anisotropic areas of influence of each AERONET sites by preserving areas characterized by a high degree of correlation. We used this map to prescribe spatial varying optical properties for the dynamic run. This description will be added in the revised manuscript.
Digital Public Sphere and Palestine-Israel conflict: A Conceptual Analysis of News Coverage

The news coverage of conflicts has transformed with the introduction of digital media and social media platforms. The available literature on media coverage of Palestine-Israel conflict is mainly focused on traditional news coverage or social media dimension of the conflict information. There exists a literature gap on social media coverage of Palestine-Israel conflict by the traditional news organizations. This study explores the changing pattern of traditional media’s coverage of the longstanding conflict in the wake of new communication technologies through appraisal of the existing literature. The analysis revealed that the traditional news organizations have adopted social networking platforms as a business model to cover the Palestine-Israel conflict. It was found that the traditional news outlets use the new media because it is cost-effective and have instantaneous outreach to maximum number of netizens. The new tools of communication offer multimedia platforms where conflict-related text, videos and images can be posted simultaneously. The study proposes to conduct future research on media-conflict relationship by focusing the use of new communication tools by the traditional media
Offshore Geological Hazards: Charting the Course of Progress and Future Directions

Offshore geological hazards can occur in any marine domain or environment and represent a serious threat to society, the economy, and the environment. Seismicity, slope sedimentary instabilities, submarine volcanism, fluid flow processes, and bottom currents are considered here because they are the most common hazardous processes; tsunamis are also examined because they are a secondary hazard generated mostly by earthquakes, slope instabilities, or volcanic eruptions. The hazards can co-occur and interact, inducing a cascading sequence of events, especially in certain contexts, such as tectonic indentations, volcanic islands, and canyon heads close to the coast. We analyze the key characteristics and main shortcomings of offshore geological hazards to identify their present and future directions for marine geoscience investigations of their identification and characterization. This review establishes that future research will rely on studies including a high level of multidisciplinarity. This approach, which also involves scientific and technological challenges, will require effective integration and interplay between multiscale analysis, mapping, direct deep-sea observations and testing, modelling, and linking offshore observations with onshore observations.
RELATIONSHIP BETWEEN PERCEIVED PERFORMANCE APPRAISAL EFFECTIVENESS AND EMPLOYEE TURNOVER INTENTION IN LEBANESE BANKS

The study examines the relationship among perceived performance appraisals (PA) and retaining employees in Lebanese banks from a human resources management (HRM) viewpoint. As a consequence of regulatory demands and high levels of employee turnover, improvements are urgently required in Lebanon. The study explores the effects of perceived PA effectiveness on the employees in Lebanese banking sector and in particular explores the complexity of partnership between basic PA successful elements (targets, requirements, expectations, source and input and frequency) and the purposes of employee turnover. For data collection, a questionnaire has been distributed over 201 respondents. The obtained data has been then analyzed using SPSS. The results reveal that the expected efficacy of PA in Lebanese banking has a detrimental connection to the goals of employee turnover. Multiple linear regression (MLR) reveals the substantial intention for employee turnover within the banking industry as Lebanon as a feedback aspect of PA. Structural equation modeling (SEM) results show that three components of PA accounted for 37% of the improvement in workers purpose. The findings indicate that increased understanding of the PA systems will help to minimize the turnover intention.
In vivo study of antiplasmodium and histological activity of Garcinia kola and Aloe vera extracts against falciparum malaria

This study focuses on testing the efficacy of herbal remedy used in many homes within the South-Eastern part of Nigeria to treat malaria and also the histopathological effect of the remedy on albino rats. Twenty rats were procured and distributed with five rats to one group. Group 1 received Garcinia kola and Aloe vera extracts, Group 2 received only G. kola extract, Group 3 is negative control and Group 4 is positive control. The treatment lasted for 21 days but parameters were monitored on day zero, second, third, fourth and 21st day. There was a sharp weight reduction of the albino rats at the third day, Group 1 recorded 107.21±15.46 as compared to the initial weight which was 116.18±14.94, but later increased at day 21. The weights across the groups at day three was statistically significant (p<0.05). The rats treated with G. kola extract recorded parasite density of 3997.34±0.00 at day 21 while the group 1 had zero parasite density at day 21. This shows that G. kola extract when used with Aloe vera extract will be more effective in the treatment of malaria as to compare when used alone. Histopathological test revealed no features of acute or chronic damage, but more studies are needed. Key words: Malaria, Plasmodium falciparum, histopathology, Garcinia kola, Aloe vera extracts
Frankfurt-Style Cases and Moral Responsibility: A Methodological Reflection

ABSTRACT Frankfurt-Style Cases (FSCs) seem to elicit the intuitive judgment that an agent is morally responsible despite being unable to act otherwise, which is supposed to falsify the Principle of Alternative Possibility (PAP). Recent empirical studies have shown that the inclination toward this intuitive judgment is shared among people, which seems to reinforce the argument against the PAP. However, some scholars have argued for Descriptive Anti-Intuitionism (DAI) — intuitive judgments have never played an evidential role in philosophy — and thus denied the philosophical significance of such empirical findings. I point out that although DAI fails in its literal claim for FSCs, an associated insight remains potent: an intuitive judgment is so fragile that it can be easily defeated by further arguments. Nevertheless, I argue, empirical studies are significant in uncovering the general principles to which we are committed in our practice concerning moral responsibility. I clarify how such findings can play a robust evidential role in philosophical debates concerning moral responsibility by tracing the literature written by Frankfurt and philosophers.
Assessment of the Chemical Composition, Antimicrobial Potential and Cytotoxic Activity of Eriobotrya japonica fruits

The present study was carried out to evaluate the cytotoxic and antimicrobial activities of both 70% methanol extract and the isolated polysaccharides from Eriobotrya japonica fruits as well as to investigate their chemical composition. The cytotoxic activity was evaluated against ovarian (SKOV-3), liver (HepG2) and prostate cancer cell lines (PC-3) by SRB (Sulforhodamine B) assay. The antimicrobial activity was evaluated by the well diffusion method against Escherichia coli, Staphylococcus aureus, Bacillus cereus, Salmonella typhimurium, Candida albicans and Aspergillus brasiliensis. The results revealed that the extract was more potent than the isolated polysaccharide against the tested human cell lines. Moreover, the methanol extract was highly potent against (SKOV-3) with IC50 of (0.012 μg/mL) more than that of Doxorubicin (IC50 =0.86 μg/mL). In addition, the results revealed that the 70% methanol extract showed a reasonable antibacterial activity against all tested bacteria. While the isolated polysaccharides exhibited antibacterial activity against Staphylococcus aureus and Bacillus cereus only. In addition, Eriobotrya japonica fruits contain 41% (wt/wt) carbohydrate as glucose and 37% (wt/wt) as mucilage. These results may help to discover new classes of a natural cytotoxic and antimicrobial drug after applying several clinical trials to confirm that it can be safely applied in living systems.
An image-based system for asphalt pavement bleeding inspection

ABSTRACT The pavement distress information is essential for evaluating the pavement. Automatic pavement inspection systems can be so beneficial in providing needed information on pavement conditions. The bleeding is one of the asphalt pavement distresses and directly affects the pavement skid resistance and road safety. This study aims to develop an image-based system for the comprehensive evaluation of pavement bleeding. This evaluation consists of three main parts: bleeding occurrence detection, bleeding region segmentation, and severity-based classification of bleeding regions. For implementing the proposed system, deep learning-based model and transfer learning method are used in the detection part, and wavelet transform is the main process in the segmentation part. Also, gray-level co-occurrence matrix, wavelet transform, and signal to noise ratio are used to extract image texture-based features from various levels of the bleeding severity (low, mid, and high). Then a decision tree has been made based on extracted features for severity-based classification. The proposed system can indicate the bleeding index based on distress density and severity. Results show good performance in detection, segmentation, and severity-based classification parts, on the average of performance indices with 98%, 89%, and 93%, respectively. Therefore, the proposed system provides an efficient method for comprehensive pavement bleeding evaluation.
A Metric and Visualization of Completeness in Multi-Dimensional Data Sets of Sensor and Actuator Data Applied to a Condition Monitoring Use Case

The so-called ‘Industrie 4.0’ provides high potential for data-driven methods in automated production systems. However, sensor and actuator data gathered during normal operation of the system is often limited to a narrow range of single, specific operating points. This limitation also restricts the significance of condition-based maintenance models, which are trained to the narrow data. In order to reveal the structure of such multi-dimensional data sets and detect deficiencies, this paper derives a data quality metric and visualization. The metric observes the feature space and evaluates the completeness of data. In the best case, the observations utilize the whole feature space, meaning all different combinations of the variables are present in the data. Low metric values indicate missing combinations, reducing the representativeness of the data. In this way, appropriate countermeasures can be taken if relevant data is missing. For evaluation, a data set of an industrial test bed for condition monitoring of control valves is used. It is shown that the state-of-the-art metrics and visualizations cannot detect deficiencies of completeness in multi-dimensional data sets. In contrast, the proposed heat map enables the expert to locate limitations in multi-dimensional data sets.
Effects of Active Layer Thickness on the Electrical Characteristics and Stability of High-Mobility Amorphous Indium–Gallium–Tin Oxide Thin-Film Transistors

Herein, we investigated the effects of active layer thickness (tS) on the electrical characteristics and stability of high-mobility indium–gallium–tin oxide (IGTO) thin-film transistors (TFTs). IGTO TFTs, with tS values of 7 nm, 15 nm, 25 nm, 35 nm, and 50 nm, were prepared for this analysis. The drain current was only slightly modulated by the gate-to-source voltage, in the case of the IGTO TFT with tS = 50 nm. Under positive bias stress (PBS), the electrical stability of the IGTO TFTs with a tS less than 35 nm improved as the tS increased. However, the negative bias illumination stress (NBIS) stability of these IGTO TFTs deteriorated as the tS increased. To explain these phenomena, we compared the O1s spectra of IGTO thin films with different tS values, acquired using X-ray photoelectron spectroscopy. The characterization results revealed that the better PBS stability, and the low NBIS stability, of the IGTO TFTs with thicker active layers were mainly due to a decrease in the number of hydroxyl groups and an increase in the number of oxygen vacancies in the IGTO thin films with an increase in tS, respectively. Among the IGTO TFTs with different tS, the IGTO TFT with a 15-nm thick active layer exhibited the best electrical characteristics with a field-effect mobility (µFE) of 26.5 cm2/V·s, a subthreshold swing (SS) of 0.16 V/dec, and a threshold voltage (VTH) of 0.3 V. Moreover, the device exhibited robust stability under PBS (ΔVTH = 0.9 V) and NBIS (ΔVTH = −1.87 V).
Papilomavirus bovino tipo 2 en un sarcoide equino en Costa Rica

Objetivo: Identificar mediante técnicas moleculares la presencia de papilomavirus bovino (BPV) en un sarcoide equino, y realizar la caracterización histológica de este. Materiales y métodos: A partir de lesiones de sarcoide en una yegua de raza pinto americano se realizó la extracción de ácidos nucleicos para su identificación mediante técnicas moleculares. Se amplificó el gen correspondiente al segmento L1 para papilomavirus a través de reacción en cadena de la polimerasa, se secuenció y luego fue analizado utilizando el algoritmo BLAST. Se realizó tinción de hematoxilina-eosina del tejido y se analizó en microscopio de luz 100X. Resultados: Se detectó BPV-2 en la lesión de sarcoide equino; el sarcoide se clasificó como nodular de acuerdo con sus características morfológicas e histológicas. La histopatología mostró una lesión fibrótica, con neoplasia exofítica y expansión del estrato espinoso. Conclusiones: El estudio demostró por primera vez la presencia de BPV-2 en un sarcoide equino en Costa Rica utilizando técnicas moleculares y su asociación con un sarcoide de tipo nodular.