Miracle-dz/UniFAR-FTUs huggingface dataset:
Some Phenotypic Characteristics and Respondents Perceptions toward High Gum Yield Hashab Trees (Acacia senegal L.) in Shikan Locality, North Kordofan, Sudan

This research was conducted in Shikan locality, North Kordofan, Sudan during 2018/2019. The aim of this research is to identify phenotypic characteristics and producers’ perceptions on high gum yield hashab trees (Acacia senegal L.). It also aims to scrutinize growth attributes of high yielding hashab tree in the study area. Social survey was done where interview was conducted using structured questionnaire which distributed to seventy seven owners of high gum yield hashab trees. Qualitative data such as bark color, flowering and fruiting period were also collected. Descriptive Statistical Analysis in Statistical Packages for Social Sciences (SPSS version 16.00) where mean, percentages, and counts were calculated. Moreover, correlation analysis was done. The results revealed that age of high gum yield hashab trees ranged from 5 to 17 years. According to the most of respondents (90%), high gum yield hashab trees exudates gum firstly at age of 5 years as a minimum while 78% of respondents stated that the bark color is reddish at tapping position. The majority (93%) of respondents described shape of gum nodules as round. As phenotypic characteristics of high gum yield hashab trees, beginning of flowering and fruiting period is May to August where positive correlation (0.32) was found. Positive correlation (0.24) was also found between starting gum exudation and number of pickings/season. The study concluded that high gum yield hashab trees could be phenotypically identified and also through experience since tree form, color, flowering and fruiting are always under farmers focus. The study recommends investigating relation between phenotypic characteristics and genetic sources of high gum yield hashab trees.
Physicochemical and Antioxidant Properties of Potentilla anserina L. Polysaccharides Affected by Ultrasonication

The effects of ultrasonic treatment on the physicochemical and antioxidant properties of Potentilla anserina L. polysaccharides (PAPs) were investigated. A Box–Behnken design (BBD) was applied to optimize the parameters of ultrasound-assisted extraction (UAE). A maximum yield of 9.43% was achieved at an extraction temperature of 66 °C, ultrasonic power of 205 W, and extraction time of 2.6 h. The chemical structure analyses illustrated that the two PAP extracts using UAE and hot water extraction (HWE) had the same monosaccharide composition but displayed a significant difference in the monosaccharide content, and the molecular weight of PAPUAE was significantly lower than PAPHWE. Fourier-transform infrared (FT-IR) spectroscopy confirmed that the ultrasonic treatment did not change the type of glycosidic bonds compared with HWE. In addition, the results from thermogravimetric analysis indicated that different extraction methods had effects on the physical properties of PAPs to some degree. Antioxidant activity assays demonstrated that PAPUAE had higher superoxide dismutase and glutathione peroxidase activities when cells were exposed to exogenous H2O2 than PAPHWE, and the malondialdehyde levels were also lowered following exposure to PAPUAE. These findings indicated that ultrasound irradiation is a promising technique for polysaccharide extraction from plant materials.
The structural extraction of Chinese medical narratives

Medical narratives document a vast amount of clinical data. This data has a valuable secondary purpose, as it may be used to optimize health service delivery and improve the quality of medical care. However, medical narratives are typically recorded in an unstructured manner, which complicates the process of extracting the structured information required for optimization. In this paper, we address this problem by applying and comparing two models, a rule-based model and a model based on conditional random fields (CRFs), to a data set of Chinese medical narratives. Among 4626 manually annotated Chinese medical narratives, collected from Shanxi Dayi Hospital in China, the rule-based model achieved 95.87% precision, 69.82% recall, and an F-score of 80.80%, and the CRF-based model realized 95.99% precision, 65.11% recall, and a 77.59% F-score. These experimental results demonstrate the efficacy of both proposed models for structural extraction from Chinese medical narratives.
The Role of Psychological Capital on Employee Voice: Conservation Resources Framework

The current study aims to explain how psychological capital influences employee voice in the Indonesian context. The conservation resources framework can provide an explanation of how personal resources, namely psychological capital (psycap) have an impact on work behavior (employee voice). This study involved 182 participants from various companies. Questionnaires were circulated via an instant messaging application, several social media platforms, and paper-based. Based on a simple regression analysis, it is proven that psychological capital is significantly related to employee voice. Employees can choose to speak up when they are motivated by a pro-social motive that brings to constructive changes to themselves and the organizations. Psycap interacting simultaneously produces different manifestations, which can make individuals obtain new resources. By acquiring these additional resources, individuals are ready to meet the demands of work and achieve their work goals, by providing a voice.
Organic tandem solar cells under indoor light illumination

The lifetime of a device depends highly on that of its battery. In order to enhance the longevity of microsystems or sensor networks, it is necessary for these devices to be self‐powered. Indoor photovoltaics allow the possibility of harvesting artificial light sources for powering microsystems. Whereas indoor photovoltaics based on single active layers have showed high efficiencies under LED lighting, tandem structures have yet to be tested extensively. In our study, we use finite‐difference time‐domain simulations to study the highest possible short‐circuit current density that can be extracted from tandem organic devices. We compare the simulation results to the results for photovoltaic devices based on single bulk active layer heterojunctions. Our simulations found that although detailed balanced band gap calculations show tandem photovoltaics to be viable, the low‐intensity emission spectra of white LED light sources can be better harvested by single active layer‐based photovoltaics. The current‐matching limitation of a tandem photovoltaic structure connected in series limits the highest output current and open‐circuit voltage of the device and, thus, its performance for the illumination of lower intensity light.
A fuzzy mobile decision support system for diagnosing of the angiographic status of heart disease

In estimating the risk of heart disease due to non-deterministic risk factors, often diagnosis of angiographic disease is difficult for physicians. For modeling and application of this uncertain and imprecise modality, decision support systems based on fuzzy logic are appropriate and an effective approach. Smartphone-based applications can facilitate the efficient use of these systems in form of evidence-based medicine. The aim of this applied study was developing and evaluating an application to diagnose angiographic disease conditions and the severity of heart attacks through a smartphone-based clinical decision support system. Android application development environment was utilized after extraction of linguistic rules and definition of membership functions needed for decisions. A smartphone-based application was designed using these guidelines and utilizing fuzzy modeling. Then, the app was evaluated in terms of accuracy using the popular Cleveland dataset. According to the results, 10 fuzzy rules for modeling, seven input variables and one decision variable were extracted. Programming was done in Eclipse. The evaluation results indicate that the accuracy of the program was 94%. Decision support systems within the context of mobile health have become some of the most efficient and influential information technology tools in recent years. They can improve patient-care management, provide easier access to the information needed for healthcare decisions and ultimately reduce healthcare costs while improving its quality.
Studying Hydraulic Interconnections in Low-Permeability Media by Using Bacterial Communities as Natural Tracers

Knowledge about the processes governing subsurface microbial dynamics in and to groundwater represents an important tool for the development of robust, evidence-based policies and strategies to assess the potential impact of contamination sources and for the implementation of appropriate land use and management practices. In this research, we assessed the effectiveness of using microorganisms as natural tracers to analyze subsurface dynamics in a low-permeability system of northern Italy. Microbial communities were investigated through next-generation sequencing of 16S rRNA gene both to study hydraulic interconnections in clayey media and to verify the efficacy of outcropping clayey horizons in protecting groundwater against contamination. During the observation period, a rapid water percolation from the ground surface to the saturated medium was observed, and the mixing between lower-salinity fresh-infiltration waters and higher-salinity groundwater determined the formation of a halocline. This rapid percolation was a driver for the transport of microorganisms from the topsoil to the subsurface, as demonstrated by the presence of soil and rhizosphere bacteria in groundwater. Some of the species detected can carry out important processes such as denitrification or nitrate-reduction, whereas some others are known human pathogens (Legionella pneumophila and Legionella feeleii). These findings could be of utmost importance when studying the evolution of nitrate contamination over space and time in those areas where agricultural, industrial, and civil activities have significantly increased the levels of reactive nitrogen (N) in water bodies but, at the same time, could highlight that groundwater vulnerability of confined or semi-confined aquifers against contamination (both chemical and microbiological) could be higher than expected.
Predicting missing links in complex networks via an extended local naïve Bayes model

In this work, we propose an extended local naïve Bayes (ELNB) model to implement link prediction in complex networks. In the model, an extended clustering coefficient (ECC) is defined to represent the posterior connection probability in ELNB model, which is composed of the link clustering coefficient (LCC) and the node clustering coefficient (NCC). Our method not only overcomes the shortcoming of the common neighbor similarity index —each common neighbor of two nodes contributes equally to the connection likelihood— but also guarantees that the contributions of a common neighbor on the connection likelihood of different pair nodes in its neighbor set are different. Through the in-depth analysis, we find that the LCC plays a positive role on link prediction. On the contrary, the NCC often yields a negative effect. Therefore, we can find the optimal parameter in ELNB yielding the best link prediction. More importantly, we prove that ECC is different from clustering coefficient in the micro-scale (individual level), but they are the same in the meso-scale (subnetwork level) and macro-scale (whole network level). As a result, ECC is a new and effective index to characterize the micro-structure of networks while it retains the invariance property in meso-scale and macro-scale.
FORMULASI DAN UJI ANTI BAKTERI SEDIAAN GEL EKSTRAK DAUN MANGGA ARUMANIS (Mangifera indica L.) SEBAGAI ANTI BAKTERI Staphylococcus aureus DAN Propionibacterium acnes

Penelitian ini dilatarbelakangi oleh masalah kelainan kulit berupa jerawat yang salah satu penyebabnya adalah bakteri S. aureus dan P. acnes. Beberapa hasil penelitian menyatakan bahwa daun mangga mengandung senyawa bioaktif yang potensial sebagai antibakteri seperti flavanoid, saponin, dan mangiferan. Perlu diteliti potensi ekstrak daun mangga dalam sediaan gel sebagai obat antijerawat. Tujuan penelitian ini adalah membuat formula sediaan gel ekstrak daun mangga arumanis berpotensi sebagai antibakteri S. aureus dan P. acnes dan memenuhi syarat farmaseutika. Metode ekstraksi yang digunakan adalah maserasi dengan pelarut etanol 70%. Pengujian KHM dilakukan dengan metode dilusi agar , pengujian LDH menggunakan metode difusi sumuran. Sediaan gel dibuat dengan tiga konsentrasi penambahan ekstrak daun mangga arumanis yaitu formula F1 (20%), F2 (25%) dan F3 (30%). Basis gel digunakan sebagai kontrol negatif dan acnol gel sebagai kontrol positif. Hasil penelitiaan menunjukkan ekstrak etanol 70% daun mangga memiliki nilai KHM sama untuk bakteri S. aureus maupun P. acnes yaitu pada konsentrasi 20%. Gel Formula 1 memiliki LDH terhadap bakteri S. aureus dan P. acnes masing-masing 3,83±0,76 mm dan 1,83±0,28 mm; Formula 2 memiliki LDH terhadap S. aureus dan P. acnes sebesar 6,83±0,28 mm dan 2,83±0,57 mm; Formula 3 memiliki LDH terhadap S. aureus dan P. acnes masing-masing sebesar 9,33±0,57 mm dan 3,00±0,5 mm. Dari penelitian ini, dapat disimpulkan bahwa gel Formula 3 yang mengandung 30% ekstrak daun mangga adalah formula yang paling efektif terhadap S. aureus dengan Zona Penghambatan tertinggi 9,33 mm
Desalination performance of thin-film composite forward osmosis membranes based on different carbon nanomaterials

The incorporation of nanomaterials in thin film composite (TFC) has provided a new way to increase the permeability of the forward osmosis membrane during the desalination of water. In this research graphene oxide (GO), reduced graphene oxide (rGO) and carbon nanotube (MWCNT) was prepared and introduced into a polyamide layer to form TFC membrane via interfacial polymerization reaction. The properties of the membranes were characterized by using ATR- FTIR, SEM and water contact angle measurements. The obtained results illustrated that a TFC-FO membrane doped with GO (0.7wt%) has a high water flux (27.15 L m-2h-1) while membrane doped with rGO (0.5wt%) exhibits water flux (24.05 L m-2h-1), and the membrane doped with MWCNT (0.5wt%) has water flux (21.67 L m-2h-1) compared with pure membrane with water flux of (10.24 L m-2h-1).
Analisis Technology Acceptance Model Penerimaan Website Ilmukomputer.Com Pada Mahasiswa Teknik Informatika

Website Ilmukomputer.com is an e-Learning community that shares literature and lecture materials for free in the field of computing aka computer science and information technology in the Indonesian language. The main mission is to take part in the efforts to educate the nation's children, especially in computer science education, because the content of the website Ilmukomputer.com contains about computer science is more detailed again compared with the science of engineering faculty students get on campus.This research is done by using Technology Acceptance Model (TAM) method. This research uses 3 (three) variables, namely Perceived usefulness, Perceived Ease of Use and Attitude Toward Using. The data used are primary data obtained through questionnaire survey to students of Faculty of Informatics Engineering in Kota Bandung who has been using Ilmukomputer.com Website as a medium of information with a sample of 100 people. Data processed using SPSS software version 22.The results of this study note that the perception of benefit significantly affect the user attitude that is equal to 0.652 or 65.2%, the perception of ease of influence on user attitudes that is equal to 0.735 or 73.5%, and perceptions of usefulness, perceived ease of use significantly influence the attitude of users with the level Relationship R 0.877 = 87.7% and Rsquare 0.770 = 77%.
Who is Responsible? Varying Solutions for Improving Equity of College Access in an Era of Rising Costs

Researchers interviewed higher education professionals, asking: How do professionals working in higher education equity and access sectors, both public and private, assign responsibility for improving access, and what solutions do they propose? Informed by Kingdon’s multiple streams framework and Guajardo et al.’s theory of change in action, researchers spoke with professionals to analyze inequities in college access. Respondents disagreed on responsibility for improving access, with solutions varying based on vantage points, values, and privilege.
Assessment of Public Awareness of the Forestry Sector: Biodiversity, Certification and Ecosystem Services in Velingrad Municipality

The purpose of this study was to survey the current public awareness in Velingrad Municipality in terms of biodiversity preservation, certification and ecosystem services in the regional forestry sector. The answers to the questions related to the biodiversity and ecosystem services showed good awareness and a very positive attitude of respondents regarding the need for conservation and sustainable use of biodiversity as well as the improvement of ecosystem services. According to the conducted surveys, the awareness concerning the certification and standards in the local forestry sector as well as the regional NATURA 2000 protected sites was still weak or lacking.
Life Satisfaction during COVID-19

As COVID-19 is still ravaging across the world, researchers are frantically examining the positive and negative impacts of the pandemic across the world Amidst the encouraging signs of nature reclaiming itself, it would be interesting to estimate the levels of life satisfaction among the people This descriptive study examined the life satisfaction of 275 respondents from Tamilnadu, the southernmost state of India The respondents were selected using a multi-stage sampling technique The study found that life satisfaction was highly prevalent amongst the respondents COVID-19 had also brought families together and had confined people to the safety of their homes The study also found that marital satisfaction, physical health and mental health were associated with life satisfaction Physical health was found to be associated with social participation, mental health, and marital satisfaction implying that health is wealth The study found no significant differences in life satisfaction across the demographic and socioeconomic factors © 2020 JHE
Innovation Strategies Impacts on the Performance of Medium-Scale Manufacturing Industries in Central Sulawesi Province, Indonesia

The study aimed to analyze the direct influences of innovation strategies on company performance in Central Sulawesi. This study was conducted in the medium-scale manufacturing industry in Central Sulawesi Province (Palu City and Donggala Regency). The study involved about 96 respondents. The main variables were innovation strategies and company performances. The study found that the average value of the dimension of "process innovation" was 4.11, high category; while the dimension of "product innovation" had an average value of 4.06, high category. The dimension of product performance had a high value of 3.97 and a marketing performance with a value of 3.92. Hypothesis testing showed that there was a significant influence of innovation strategy on company performance with a P-value = 0.00 (P <0.05) and a regression coefficient value of 0.286. The conclusion is that the innovation strategy has a positive and significant effect on the performance of the manufacturing industry in Central Sulawesi.
Assessment of the Dermal Acute Irritation Potential of Natural Veterinary Medicine Minyak Rajas in Albino Rabbits

Aims: This study was designed to assess the potential for acute dermal irritation of natural veterinary medicine Minyak Rajas (produce by Songgolangit Persada Limited Company, Bali, Indonesia) in albino rabbits. It is a rather thick liquid which contains various medicinal herbal extracts, formulated with effective microorganism technology. This medicine is effective in the treatment of skin infections and inflammation, wounds, intestinal worms and digestive disorder. Additionally, it works for game fowl muscle strengthening. Place and Duration of Study: This study was conducted at the Veterinary Pharmacy and Pharmacology Laboratory, Faculty of Veterinary Medicine, Udayana University, between April 2020 and May 2020. Methodology: Experimental animals used were three male albino rabbits (Oryctolagus cuniculus) in healthy conditions and weighing of >2 Kg. Test procedures followed the guidelines of Original Research Article Merdana et al.; JPRI, 32(10): 17-24, 2020; Article no.JPRI. 58243 18 Organisation for Economic Cooperation and Development, and chemicals used were applied in a single dose of 0.5 ml on animal skins, with untreated skin as a control. Results: Very slight erythema was found after the Minyak Rajas application and the lesion was about 48 hours. Overall, no severe erythema, edema or other skin lesions were observed. According to the Amanded Draize system, the Primary Irritation Indexes of 0.16 is categorized as non-irritating. Conclusion: We conclude that the natural veterinary medicine of Minyak Rajasis safe to be used.
Fixed Effects Individual Slopes: Accounting and Testing for Heterogeneous Effects in Panel Data or Other Multilevel Models

Fixed effects (FE) panel models have been used extensively in the past, as those models control for all stable heterogeneity between units. Still, the conventional FE estimator relies on the assumption of parallel trends between treated and untreated groups. It returns biased results in the presence of heterogeneous slopes or growth curves that are related to the parameter of interest (e.g., selection into treatment is based on individual growth of the outcome). In this study, we derive the bias in conventional FE models and show that fixed effects individual slope (FEIS) models can overcome this problem. This is a more general version of the conventional FE model, which accounts for heterogeneous slopes or trends, thereby providing a powerful tool for panel data and other multilevel data in general. We propose two versions of the Hausman test that can be used to identify misspecification in FE models. The performance of the FEIS estimator and the specification tests is evaluated in a series of Monte Carlo experiments. Using the examples of the marital wage premium and returns to preschool education (Head Start), we demonstrate how taking heterogeneous effects into account can seriously change the conclusions drawn from conventional FE models. Thus, we propose to test for bias in FE models in practical applications and to apply FEIS if indicated by the specification tests.
Finding Alpha-Helices in Skeletons

Author(s): Amenta, Nina; Choi, Sunghee; Jump, Maria E. ; Kolluri, Ravi Krishna; Wahl, Thomas | Abstract: We consider a problem which is part of the process of determining the three-dimensional structure of a protein molecule using X-ray crystallography: given an estimated map of the electron density of the molecule as a function on three-dimensional space, we identify regions which are likely to belong to a-helices. Our approach is to compute a new kind of skeleton - the power shape - and then identify the helical substructures within the power shape with a variant of geometric hashing.
CEO risk preference, enterprise characteristics, and goodwill value: evidence from China

ABSTRACT This study investigates the relationship between CEO risk preferences in companies completed mergers and acquisitions (M&A) and the goodwill generated by M&A. The analysis period ranges from 2014 to 2018, which represents the recent ‘boom’ in China’s M&A market. We estimate CEO risk preference by using factor analysis and regress the goodwill on CEO risk preference while controlling for firms’ characteristics. The results show that CEOs with a high-level risk preference are willing to accept a higher value of goodwill. This positive correlation is more significant in non-state-owned or lower ownership concentration companies, and firms within a suitable debt capacity.