Miracle-dz/UniFAR-FTUs huggingface dataset:
Quasi-Free Scattering from Relativistic Carbon and Oxygen Isotopes

Single nucleon knockout and quasi-free scattering reactions are valuable tools to study singleparticle properties of nuclei. Particularly, it has been argued, that they can be used to study spectroscopic factors on an absolute scale. Quenching of these spectroscopic factors as compared to shell-model predictions has been observed in nuclear knockout reactions. While for stable isotopes these findings are in agreement with results obtained in quasi-free electron scattering, a surprisingly large dependancy of this quenching on the neutron-proton asymmetry has been observed, motivating further studies using quasi-free proton scattering. Quasi-free scattering of both stable and exotic light nuclei has been studied in inverse kinematics at GSI. While in a first protoype experiment a 12C beam was accelerated to 500AMeV by the SIS18 heavy ion synchrotron, in a second experiment mixed secondary beams created by impinging 40Ar on a production target at the entrance of the fragment separator FRS were used. In both cases, the incoming beam as well as all reaction products were detected in kinematically complete measurements at the R3B-LAND setup. Results for cross sections, spectroscopic factors and momentum distributions will be shown for different carbon and oxygen isotopes and compared to results obtained for knockout reactions as well as DWIA-calculations. Furthermore, excitation spectra of the reaction products will be discussed.
Chromatographic and antiproliferative assessment of the aerial root of Ficus thonningii Blume (Moraceae)

Ficus thonningii (Blume) has long history of use for variety of ailments. The hot aqueous extract of Ficus thonningii aerial root (FT) was obtained by infusion. The antiproliferative activity of FT was evaluated using Sorghum bicolor seed radicle over a period of 24 h to 96 h. The mean radicle length (mm), percentage inhibition and percentage growth were calculated. Chemical characterization of FT was done using chromatographic techniques. Thin layer chromatography revealed the presence of β-sitosterol. High performance liquid chromatography showed ten peaks with gallic acid, tannins, caffeic acid, rutin, ferulic acid and morin eluting at 3.530, 3.928, 4.668, 6.706, 7.669 and 18.844 minutes respectively. Compared with negative control, FT at 1 mg/ml to 32 mg/ml significantly (p<0.0001) inhibited S . bicolor seed radicle growth over 24 h-96 h. At 96h, FT dose-dependently inhibited S. bicolor seed growth, giving a percentage inhibition of 20.31%, 24.30%, 31.71%, 53.23%, 78.74%, 95.37% at 1 mg/ml, 2 mg/ml, 4 mg/ml, 8 mg/ml, 16 mg/ml, 32 mg/ml, respectively. Methotrexate 50 µg/ml used as the positive control gave inhibition of 70.62% at 96h. The result revealed the potential of FT to inhibit rapid proliferating cells of S. bicolor seed radicle and by extension cancer cells.
VIETNAMESE HIGH-SCHOOL TEACHERS’ PERCEPTIONS OF TPACK IN TEACHING ENGLISH AS A FOREIGN LANGUAGE

Technology-driven changes have led to the needs for knowledge and skills to integrate information and communication technology into instructional activities. This competence, described as the TPACK (technology, pedagogy and content knowledge), attracts relatively extensive scholarship in education. Further research, however, remains essential to develop further insights into teachers’ TPACK for foreign language education. Against such a backdrop, this study was conducted to examine Vietnamese teachers’ perceptions of TPACK in an EFL context. A 34-item survey adapted from Bostancıoğlu and Handley (2018) was used to collect data from 120 English teachers of 33 high schools in two Mekong Delta’s provinces of Vietnam. Quantitative analysis showed that the teachers had a high level of basic computer and office technologies, and pedagogical content knowledge, but they rated their ability to integrate technologies with pedagogical content knowledge just above the average level. No significant differences in their TPACK were observed in terms of their teaching experience, technology training, and gender, except for technology use frequency. The findings confirm that trainers and educators should pay closer attention to supporting teachers both pre-service and in-service to develop TPACK as an integrated ability, instead of knowledge of technology per se. Besides, teachers’ TPACK levels interact with the use frequency, so it is crucial for teachers to use technology frequently to increase their TPACK self-efficacy. Article visualizations:
The insecticidal-toxin repertory of 14 Xenorhabdus strains isolated from Argentina.

Entomopathogenic nematodes belonging to the genus Steinernema are able to infest and kill insect hosts in association with their resident, entomopathogenic symbiont bacteria in the gram-negative genus Xenorhabdus (Enterobacteriaceae). However, only a few species of Xenorhabdus have been isolated from their hosts and their insecticidal properties reported. Here we performed the genome sequence analysis of 14 Xenorhabdus strains isolated from Steinernema nematodes in Argentina, able to kill 6th instar Galleria mellonella (Lepidoptera) larvae. The 14 draft genome sequences encoded 110 putative insecticidal toxins (Tc, Pir and Mcf toxin homologs) plus other virulence factors with similarity to putative nematicidal toxins and chitinases. The genome sequences of strains Flor, 5, PSL, Reich, 42, Vera, M, 18, Cul, DI, 12, 38, 3 and ZM exhibited 4, 9, 2, 10, 9, 5, 7, 10, 10, 7, 3, 18, 8 and 8 putative insecticidal toxin genes, respectively. Strains 5, Reich, 42, 18, DI, 38, 3 and ZM carried their predicted insecticidal toxin genes arranged into putative pathogenicity islands whereas strains Flor, PSL, Vera, M, Cul and 12) showed them spread thorough different contigs. Multigene phylogenetic analysis and average nucleotide identity (ANI) calculations were also performed and allowed the identification of three strains (PSL, Reich and 12) that should be considered as novel Xenorhabdus genomospecies. In this work, we provide a dual insight into the diversity of the species belonging to the Xenorhabdus genus and into their predicted insecticidal toxin repertory, which is currently under investigation.
Larvicidal action of Nux-vomica (Strychnus nux-vomica L.) against Diamond back moth (Plutella xylostella L.)

The present investigation reports on larvicidal efficacy of plant extracts of Nux-vomica, Strychnus nux-vomica against Diamond back moth (DBM). In this investigation shade dried and powdered nux-vomica plant sam-ples (leaves, root bark, stem bark, seed and fruit rind) were extracted with organic solvents ethanol, methanol, ace-tone, hexane and chloroform and also formulated as Emulsifiable Concentrates (EC) using surfactant and solvents. This formulated plant extracts were tested against third instar larvae of DBM for larvicidal efficacy using leaf disc bioassay method under laboratory condition. Among the five solvent extracts tested, hexane extracts of root bark 11.11 EC @ 2 % showed highest larval mortality of 76.66 % followed by seed 14.25 EC, leaf 16.66 EC, stem bark 12.50 EC and fruit rind 12.50 EC extracts exhibited maximum mortality @ 2 % concentration recording 66.66, 63.33, 56.66 and 40.00 per cent mortality respectively. Positive and negative control such as respective solvent and water showed 10.00 and 3.33 % larval mortality respectively. The results of these experiment clearly indicate that nux-vomica plant possess promising larvicidal action against diamond back moth.
Naturally-produced beauvericins and divergence of BEAS gene among Fusarium and Trichoderma species

: Beauvericin (BEA) and its analogs are non-ribosomal cyclodepsipeptide mycotoxins produced by a wide range of fungal species, including saprotrophs, plant, and insect pathogens, particularly belonging to Fusarium , Trichoderma , Beauveria , and Isaria genera. Most beauvericin analogs were described among Beauveria and Isaria genera as “unnatural” beauvericins by adding amino acid precursors to the growing media. The aim of the study was to find BEAs naturally-synthesized by Fusarium species and tentatively determine their structures using mass spectrometry. Moreover, because of the unknown ability to produce beauvericin by Trichoderma fungi, we carried out the quantitative analysis using UPLC-MS. We also analyzed the polymorphism of the BEAS gene by sequencing partial BEAS regions from Trichoderma and Fusarium species. We screened five fungal cultures from the Fusarium genus cultivated on rice grain for the presence of the new natural beau-vericins. The peptide sequence data of beauvericin analogs were established using MS/MS experiments as well as amino acid and hydroxy acid analysis following acid hydrolysis. Ten cyclodep-sipeptide analogs described earlier were tentatively identified in the extract. In addition, two so far undescribed tyrosine-containing beauvericin analogs were tentatively identified in the cultures. Moreover, a quantitative analysis of beauvericin was performed using a UPLC-MS in eleven Tricho-derm and six Fusarium rice cultures. The phylogenic analyses of beauvericin synthase ( BEAS ) divergence were performed on the basis of sequenced PCR-amplified fragments from Trichoderma and Fusarium fungi and partial reference genes from the GenBank database (representing Beauveri a, Fusarium , and Trichoderma genera). This study demonstrates the high variability of naturally-produced new types of beauvericins, such as tyrosine-containing analogs in Fusarium fungi. It also shows that fungi belonging to the Trichoderma genus possess the ability to produce beauvericin.
Corporate Governance Policy Implementation Analysis using D. Wayne Taylor Theory. Case Study: Dental and Oral Hospital by Faculty of Dentistry Universitas Indonesia (RSKGM FKG UI) in 2019

Corporate Governance is a term that is related to the direction and control of an organization, institution, or function, to fit the goals and expectations of decision makers. This research aims to conduct an analysis of corporate governance using D. Wayne Taylor’s theory by conducting a case study at the Dental and Oral Hospital by Faculty of Dentistry Universitas Indonesia (RSKGM FKG UI). The design of this research is qulitative analysis with methods of collection data through document review and in-depth interview. The results of the research are reflected in nine principles that are recognized by six incompatible principles, two principles that are appropriate, and one principle that cannot be seen in accordance with the requirements in RSKGM FKG UI that have not supported yet. Two principles that are appropriate are: the principle of the Board-CEO Relationship and the principle of the Ownership Needs.
Molecular Characterization of GHR1 Gene and Expression Analysis of Some Growth-Related Genes in Oreochromis niloticus

| The objectives of the present study were to screen for nucleotide polymorphism in GHR1 gene among the large and small body weights’ Nile tilapia using DNA sequencing. Also, to compare the expression of some growth-related genes (GH, GHR1, IGF-1, MyoG, and MSTN) between variant weights in mono sex Nile tilapia using qRTPCR. Molecular characterization of growth hormone receptor 1 (GHR1) gene revealed the presence of many SNPs among the large, and small-body weight fish, only two repeated SNPs were detected among the small body weight fish at the coding region within the gene at 2200 G>A, and the other one was at the 3`-untranslated region (2388 A>T). They can be used as a marker-assisted selection for culling of small size fish. Additionally, two SNPs at 2116 C>A and 2117 A>G reported in large body weight fish can be used as a marker for selection to increase body weight in Nile tilapia. The expression profiles of growth-related genes are variable between the small and large body weight fish. The expression of GH and MSTN genes increased in small body weight fish than large body weight. The GHR1 and MyoG gene expression significantly increased in fish of large body weight, suggesting their vital role in Nile tilapia growth. No variation in IGF-1 gene expression between the variant weights’ fish was observed. We conclude that SNPs at GHR1 and increased its expression together with the MyoG gene in large size fish proposed them as candidate genes to be more evaluated for efficient growth breeding programs in Nile tilapia.
Compliance of Elderly with Preventive Behaviors Regarding COVID-19 at Rural Areas in El Gharbia Governorate

Background: COVID-19 is a novel and highly contagious disease that has worse and serious side effects among all age groups, but elderly are the most affected. COVID-19 increases the risk of elderly for hospitalization and dying, as the elderly has multiple chronic condition and low immunity. Thus, compliance with preventive behaviors is very essential to save elderly life. Aim of the study: to determine compliance of elderly with preventive behaviors regarding COVID-19 at rural areas in El Gharbia Governorate. Subjects and method: Study design: A descriptive cross sectional research design was utilized in this study. Setting: This study was conducted at rural villages in El Gharbia Governorate at Bolkina, Shndalat and Elgaafaria rural villages through home visits. Study subjects: A convenience sample of 400 elderly was utilized in this study. Tools: One tool was used to collect the necessary data. It consisted of three parts as follows: Part (1): Socio-demographic characteristics of rural elderly people and health history. Part (2): Knowledge of rural elderly about COVID 19.Part (3): Reported practices of rural elderly regarding preventive behaviors of COVID 19. Results: It was found that, nearly one third (30%) of the studied elderly had poor knowledge regarding COVID 19. Also, most of them (70%) had unsatisfactory practice score. There was significant positive correlation between total knowledge score and total practice score of the studied elderly. Conclusion and recommendations:Based on our study findings, we can conclude that, compliance of most rural elderly regarding preventive behaviors of COVID 19 is unsatisfactory and need improvement. So, we can recommend that: health education programs about preventive behaviors of COVID-19 should be conducted for elderly in rural areas.
Testing Conditions for Asphalt Binder Testing Using Dynamic Shear Rheometer with 4 mm Diameter Parallel Plate Geometry

No standard procedure is available for low temperature asphalt binder testing in the Dynamic Shear Rheometer. In this study, an overview is given of the necessary equipment to use the 4 mm geometry for asphalt binder testing including an explanation of shear compliance correction. Furthermore, the testing conditions of 4 mm geometry including specimen preparation, specimen conditions and test parameter are evaluated. Additionally, practical tips and screenshots on the implementation of recommended parameters and testing conditions in the software rSpace and RheoCompass are provided. Overall, this paper provides extended information and guidelines on how to use the 4 mm geometry and which testing conditions to consider for testing asphalt binder in the low temperature range.
Insurance Fraud Detection Using Machine Learning

Every year, the insurance industry losing billions of dollars due to fraud. The act when a person makes fake insurance claims to gain benefits, compensation & other advantages to which they are not entitled is known as Insurance Fraud. Nowadays insurance fraud detection is becoming a tedious problem for insurance companies to deal with as they need more investment and workforces to keep track of every transaction. In this paper, we are focusing on the major issue faced by insurance companies that is insurance fraud. we use the machine learning technique to detect insurance fraud based on the transactional data given by the insurance company. We build predictive models and compare their performance by calculation of confusion matrix then it is evaluated on various performance measuring parameters like accuracy, precision, recall, F1 score, and on AUC curve. SVM (Support Vector Machine) and XG Boost (Extreme Gradient Boosting) are the machine learning algorithms used. After model evaluation, we select the best model for prediction.
Effects of Oil Rent on Economic Development in the Republic of Congo

The objective of this study is to analyze the effects of oil rent on economic development in Congo over a period from 1987 to 2016. Following the estimation of the Vector Error Correction Model (VECM), the result shows that the dependence on oil rent negatively affects the development of Congo. The poor performance of growth and development in the Congo is mainly linked to the deterioration of governance and the generalization of corruption. This result allows us to formulate an economic policy implication that focuses on the sustainable management of oil resources with future generations in mind and by investing in the diversification of the country’s economic activities. This would help eradicate poverty and improve the standard of living of the population.
Asynchronous Event-Triggered Fuzzy Sliding Mode Control for Fractional Order Fuzzy Systems

An asynchronous event-triggered (ET) fuzzy sliding mode control (SMC) problem for fractional order fuzzy systems is considered in this brief. Different from the existing results, the asynchronous premise variables instead of the synchronous premise variables are employed to design the ETSMC law. Using the designed asynchronous ETSMC law, the difference term consisting of continuous states and triggering states appears in the system. To deal with the difference term, a membership-function-dependent triggering function is proposed, which contains the information of state variables and membership functions, simultaneously. Combining the designed ETSMC law and the triggering function, an uncertainty analysis method is proposed to guarantee the existence of practical sliding mode, which does not require all subsystems sharing a same input matrix. Finally, simulation results are performed to demonstrate the availability of the proposed theoretical results.
Detection of Maize Disease Using Random Forest Classification Algorithm

Plant sicknesses are the significant reason for low agrarian profitability. For the most part the farmers experience troubles in controlling and identifying the plant infections. Accordingly, early detection of these diseases will help to increase the productivity of crop. This paper projected early detection of disease in crop using AI methods like Naive Bayes (NB), Decision Tree (DT), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Random Forest (RF). In this paper we compare all the method on the basis of accuracy and proposed the best model for the efficient detection of the disease. The Random forest model here achieve the accuracy of 80.68% when compare with other existing model.
CO-OCCURRENCE OF DEPRESSIVE SYMPTOMS AND ALCOHOL USE: IMPACT OF SOCIODEMOGRAPHIC FACTORS

Since depression disorders have been found to be the leading cause of disability (Friedrich, 2017), affecting 17.3 million adults in the United States alone (National Institute of Mental Health, 2017). Various scales have been developed to measure depression. The National Survey on Drug Use and Health uses the Major Depression Episode module to measure lifetime depression symptoms, this is the scale the current work aims to validate. The selected model had adequate fit. It was also found to be invariant at the strictest level across gender, race, income, and education level. The validated scale was then used to study the relationship between depression and alcohol use. The comorbidity of depression and alcohol use has been common in our society for many years (Floud et al., 2015). The purpose of the current study is to investigate the role that race, gender, and socioeconomic status have on the comorbidity between depression and alcohol use. There were differences between depression symptoms and alcohol use on the socioeconomic demographics. However, there were no moderation effects. This indicates that sociodemographics do play a role in both depression symptoms and alcohol use, even though they do not change the relationship. The implications of these studies are two-fold, it sets up future research to be done people who may not have depression but screen into a depression scale to determine how these factors effect.
Docking and 3D-QSAR Studies on Some HCV NS5b Inhibitors

A theoretical study has been carried out to interpret and support experimental findings regarding inhibition mechanism of HCV NS5b. Twenty-five HCV NS5b inhibitors were docked by QM-Polarized Ligand Docking (QPLD) technique. The comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods were used to derive 3D-QSAR models for the selected inhibitors. The CoMFA and CoMSIA models show good cross-validated (Q2) and non-cross-validated (R2) coefficients for the suggested inhibitors of 0.43, 0.98 and 0.65, 0.99, respectively. The inhibition mechanism was explored and validated. Details of the interactions between the inhibitors and HCV NS5b are given in terms of steric, electrostatic, hydrophobic, hydrogen bonding fields. Enhancing potency via substitutions at positions, which were explored based on these parameters. A good correlation was found between 3D-QSAR and docking results.
Mechanically and electrically durable, stretchable electronic textiles for robust wearable electronics

A monolithic integration of high-performance soft electronic modules into various fabric materials has enabled a paradigm shift in wearable textile electronics. However, the current textile electronics have struggled against fatigue under repetitive deformation due to the absence of materials and structural design strategies for imparting electrical and mechanical robustness to individual fibers. Here, we report a mechanically and electrically durable, stretchable electronic textile (MED-ET) enabled by a precisely controlled diffusion of tough self-healing stretchable inks into fibers and an adoption of the kirigami-inspired design. Remarkably, the conductive percolative pathways in the fabric of MED-ET even under a harshly deformed environment were stably maintained due to an electrical recovery phenomenon which originates from the spontaneous rearrangement of Ag flakes in the self-healing polymer matrix. Specifically, such a unique property enabled damage-resistant performance when repetitive deformation and scratch were applied. In addition, the kirigami-inspired design was capable of efficiently dissipating the accumulated stress in the conductive fabric during stretching, thereby providing high stretchability (a tensile strain of 300%) without any mechanical fracture or electrical malfunction. Finally, we successfully demonstrate various electronic textile applications such as stretchable micro-light-emitting diodes (Micro-LED), electromyogram (EMG) monitoring and all-fabric thermoelectric devices (F-TEG).
Large-Scale Simulations Including a Human-Body Model for MRI

Modern open MRI systems have far more electromagnetic (EM) interaction with the environment than conventional cylindrical-bore systems. An EM simulation of an open MRI system has to include the entire examination room as well as detailed objects like internal body organs. This paper will discuss simulations involving an open MRI system and a heterogeneous human-body model. Validations with measurements will be presented.