Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Organization and Activity Patterns of Common Warthog (Phacochoerus africanus Gmelin, 1788) in Dabena Valley Forest, Western Ethiopia

Studies on social organization and activity patterns of common warthog (Phacochoerus africanus Gmelin, 1788) was conducted in southwestern and northeastern Dabena Valley Forest from May 2016 to June 2018. These were in Gassi Controlled Area (GCHA) the southwestern part and in Haro Aba Diko Controlled Hunting Area (HADCHA); the northeastern part of the Valley. Group sizes of common warthogs whose center were on or very near the strip line transect were detected using binoculars and naked eyes. Population structure and group categories were recorded. Observations on diurnal activity patterns were carried out using naked eyes and binoculars. The duration of each activity was recorded using mobile electronic stopwatch. Continual scan sampling methods were used to assess the activity budgets of common warthog populations. The sounder size of common warthog population in GCHA was 246, in HADCHA, it was 652. The population size in the study areas showed a significant difference (χ2=18.78, df=1, P=0.05). The highest common warthog population sounder was formed by unidentified juvenile sex: 235 (26.5%), followed by sub-adult male: 191 (21%). During the wet season, the adult male common warthog population sounder size was significantly different (Mann– Whitney: U=1.5, P< 0.005) compared to the sub-adult female. There were significant differences in walking (F122=6.65, P < 0.05) and vigilance (F122=26.21, P < 0.05) between GCHA and HADCHA during the wet season. Adult common warthogs spent the highest proportion of the daytime feeding (47.21%), followed by resting (14.29%) and walking (11.94%).
Molecular Characterization of Ten Cicer arietinum L. Genotypes Using SCOT Marker

The up-to-date technique of start codon targeted (SCoT) polymorphism (sites around start codon) is efficient in genetic diversity analysis and fingerprinting. In the current study, 94 amplified fragments were obtained using 10 SCoT Primers with 10 genotypes of Cicer arietinum L with 35% polymorphism, where the polymorphic bands were 33 and 61 bands were monomorphic. The SCoT data analysis showed genetic similarity ranging from 84 to 98%. A dendrogram separated the studied ten chickpea genotypes into two major clusters, divided into two main sub-clusters. The difference in Principal Coordinate Analysis (PCA) established genetic variance between the investigated samples. In four quadrants, the PCA variable demonstrated clustering for the 10 genotypes of chickpea that were examined.
A Study of a Competitive Reinforcement Learning Approach for Joint Spatial Division and Multiplexing in Massive MIMO

Massive Multiple-Input Multiple-Output (MIMO) is widely considered a pivotal communication technology for future generations of wireless networks. Massive MIMO uses a large number of antennas at the base station, which offers better effectiveness in spectral and energy use. However, a Frequency Division Duplex (FDD) system is challenging in reciprocity since it is difficult to estimate channels and requires feeding back channel state information. Joint Spatial Division and Multiplexing (JSDM) is a simplified FDD technique to provide massive MIMO gains. The main idea of JSDM is related to grouping users with approximately similar channel covariance. Many machine learning algorithms have been applied to conduct user grouping. In this paper, to improve the user grouping, we employ Reinforcement Guided Competitive Learning (RGCL) to the user grouping and then compare it with clustering techniques, including K-means, and sequential K-means to achieve the appropriate user grouping. The experimental results show that the RGCL technique represents better performance in computational time and system throughput than the other two above mentioned techniques, since RGCL can avoid being trapping in local minima.
Design and simulation of high-swing fully differential telescopic Op-Amp

This article describes the process of design and simulation of a high-swing fully differential telescopic Operational Amplifier (Op-Amp). Due to the Common Gate-Common Source (CG and CS) cascode structure, the gain is very high. To maximize this gain, the load must also be selected such as two current sources. This circuit has the higher voltage in output than current Op-Amps in accordance with desirable characteristics. The loss of power of this operating amplifier are very low and in milliwatts. With use of a power supply of 1.8 V, it achieves a high-swing 1.2 V, a differential gain of 76.333 dB, ω_uGB of 412 MHz, and 50 dB CMRR. This new design through the simulations and analytically shows that the high-swing fully differential telescopic Op-Amp retains its high CMRR even at high frequencies.
УДК 541

The effect of nanocatalyst and Fenton's reagent on the efficiency of wastewater treatment under the influence of γ-radiation was studied. Model samples of aqueous solutions of phenol were used for examining radiolytic decomposition patterns under the influence of γ-radiation (at doses in the range of 1.4–18 kGy) in the presence or absence of nano-γ-Al2O3 catalyst accompanied by in situ Fenton’s reagent formation. It was established that the addition of the nanocatalyst to the system resulted in an increase in the rate of phenol decomposition and an increase in the radiation-chemical yields of the radiolytic transformation. Industrial and municipal wastewater samples were applied for studying possibility of their biochemical treatment under the influence of γ-radiation in the presence of the nanocatalyst and a component of Fenton’s reagent system. Irradiation of wastewater samples taken from an oil refining enterprise led to an enhancement of water quality and a substantial improvement in bacteriological parameters (indicators of E. coli and total microbial count).
Large-scale author name disambiguation using approximate network structures

Properly identifying the author of a scientific article is an important task for giving credit, tracking progress, and identifying ideas’ lineages. Usually, publications and citations do not provide unique identifiers to authors but only the raw string character representation of their name and affiliation. The fundamental problem is that an author might change the string representations due to changing in name spelling (e.g., removing accents), journal limitations (e.g., only allow first letter of first name), or simply two people having the same name. Several researchers have proposed methods to solve this problem, but most methods do not scale well and are not open to the community. In this work, we develop a scalable method that we make publicly available to disambiguate large-scale publications
Long-Term Effectiveness of a Mindfulness Based Intervention (MBI) Program for Stuttering: A Case Study

A mindfulness-based intervention (MBI) to address emotional factors that may negatively impact the fluency of the subjects was implemented. A MBI consisting of 5 weekly 2-h sessions was designed and applied to two stuttering cases. The goals were to lower stuttering and to reduce anxiety through the acquisition of mindfulness skills. Participants were asked to video-record a speaking task and to fill out anxiety and mindfulness skills self-reports pre and post-intervention. Both participants diminished stuttering error rates from severe (participant 1) and moderate (participant 2) to mild. Participant 2, who showed high pre-treatment anxiety, showed a significant reduction. A year-follow-up revealed that therapeutic gains in anxiety, mindfulness skills, and stuttering were successfully maintained in both participants. This is the first study focused on emotional aspects of stuttering showing long-term improvements through a MBI. MBI programs could serve as a promising complement for stuttering treatments.
CONSUMER CONFIDENCE INVESTIGATION JORR TOLL SERVICE QUALITY

The study uses descriptive and causal methods for quantitative explanation. Use this survey method for cluster sampling and use structured questionnaires for collection. In addition, LISREL version 8.8 software was used to analyze the data under structural equation modeling (SEM). These results show that customer loyalty cannot mediate the relationship between trust, satisfaction and service quality.This study aims to test the influence of trust, satisfaction, and quality of service on customer loyalty in using Toll JOOR in Indonesia. The findings show that trust, satisfaction andquality of service do not affect customer loyalty. These results imply that customer loyalty fails in mediating the relationship between trust, satisfaction and quality of JOOR Toll services in Indonesia. Keywoard: quality of service, customer loyalty , trust
Human cognitive and motor processing time in the aging workforce: An objective parameters-based model

In the digital society, recent studies showed that individuals have to perform tasks based on the information gathered by a huge amount of data and effectively use them to express their cognitive and motor abilities. The cognitive task is considered a job with prevalent cognitive demand; on the contrary, a motor task is a job with a prevalent physical need. The model allows evaluating motor (MT) and/or cognitive (CT) performance time based on the individual parameters (i.e., age, sex, and state of health). The effectiveness of the model on a numerical case study is tested. The work conducted proved that it is possible to predict a general motor-cognitive task's processing time based on objective parameters allowing to take account of the difference between individuals of different ages and sex.
Presentation of an Operational Budgeting Model in Crisis

Important decisions are always the imperatives of the crisis in the first moments. The speed of crisis control is higher, whatever the speed of decision different crises, and Iran is also one of these countries, the objective of this investigation is to design a budgeting model for crisis management. In the present study, a questionnaire with 37 items was designed based on the research background to identify crisis management and operational budgeting criteria. The statistical population of this study has been developed from 100 industry experts and professors in crisis management and 100 experts in operational budgeting. The final population of the research is used to determine the credibility of the combined model, including all ministries and government agencies in the context of budgeting and crisis management; this population consists of approximately 250 specialists selected from 85 specialist analysis and factor ranking. Also, 150 people are selected for the final fitting of the model. Smart Partial Least Squares (PLS) structural equation software was used in this research. The results r effect of pre-crisis and post-crisis criteria was respectively calculated to be 0.496 and 0.416 on operational budgeting, and 0.328, and the test probability statistic was higher than the critical value t at the error level namely 1.96. Consequently, all three criteria possess a positive and significant effect on operational budgeting with 95% confidence. By studying the fitting of the model, it was determined that the subscription indicators and the redundancy indicator are positive and acceptable, and the GOF indicator was obtained to be 0.486, which is an important indicator and presents the overall validity of the model.
Meta-learning to optimize the number of hidden nodes of MLP networks trained by Extreme Learning Machine algorithm

The optimization of Artificial Neural Networks (ANNs) is an important task to the success of using these models in real-world applications. The solutions adopted to this task are expensive in general, involving trial-and-error procedures or expert knowledge which is not always available. In this work, we investigate the use of meta-learning to chose the number of hidden nodes in MLP networks trained by Extreme Learning Machine algorithm. Meta-learning is a research field aiming to automatically acquiring knowledge which relates features of the learning problems to the performance of the learning algorithms. The meta-learning techniques were originally proposed and evaluated to the algorithm selection problem. In recent years, meta-learning was investigated to optimize parameters specifically for Support Vector Machines. However, meta-learning can be adopted as a more general strategy to optimize ANN parameters, which motivates new efforts in this research direction. Meta-learning treats the parameter selection is just another supervised learning task. In our work, we generated a base of metaexamples associated to 93 regression problems. Each meta-example was generated from a regression problem and stored: 16 features describing the problem (e.g., number of attributes and correlation among the problem’s attributes) and the best number of nodes for this problem, empirically chosen from a range of possible values. This set of meta-examples was given as input to a meta-learner which was able to predict the best number of nodes for new problems based on their features. The experiments performed in this case study revealed satisfactory results.
Application of Thin-Layer Chromatography to Evaluate the Lipophilicity of 5,8-Quinolinedione Compounds

Lipophilicity is a very important property while designing new drugs. Its influence on the pharmacological responses of compounds has been known since the 19th century. Also, many researchers try to find the relationships between structure and activity of newly synthetized compounds. The aim of this study was to determine the lipophilicity of 5,8-quinolinedione derivatives using thin-layer chromatography. Moreover, the structure—activity correlation between experimental and theoretical parameters of lipophilicity and anticancer activity was described. A series of 18 compounds was investigated. Experimental lipophilicity was determined by use of reversed-phase thin-layer chromatography (RP-TLC) using RP-18 F254s plates impregnated with silicone oil and the mixture of acetone and water solution of buffer Tris (pH = 7.4) in different volume compositions as mobile phases. Values of calculated lipophilicity (ALOGPs, AClogP, miLogP, KOWWIN, XLOGP2, MLogP, ABlogP, and ACD/LogP) were taken from the internet database. The correlation between experimental and calculated values of lipophilicity was found. For some compounds investigated, the calculated values of lipophilicity were relatively high. The correlation coefficient for these relationships was not very high but statistically significant. It confirms that the structure of compounds investigated affects the value of lipophilicity. The correlation between lipophilicity and anticancer activity was also determined, but unfortunately, no correlation was found. Additionally, similarity analysis was prepared for compounds investigated and results of lipophilicity were obtained.
Bacterial cellulose membrane enriched with fibroblast growth factor associated with photobiomodulation: In vitro evaluation

One promising skin substitutes in the wound healing are the bacterial cellulose membranes (BCM). These biomaterials present nanostructures composed of microfibrils capable of forming three-dimensional pores that allow cell. In association with these biopolymers, several treatments are used, such as enrichment by growth factors and/or the application of photobiomodulation (PBM). Therefore, the aim of this study was to investigate the viability, proliferation and cytotoxicity of a BCM (culturing of Komagataeibacter xylinus), with or without FGF-2 in association with PBM therapy. In the characterization of BCM we saw that the membrane does not show great variations in pH and with the scanning electron microscopy it was possible to observe that the BCM has a denser and a porous side that allows the adhesion of fibroblasts, confirmed by histological staining and DAPI/Phalloidin. In vitro evaluation showed that the immunofluorescence (CaAM/EthD-1) for live and dead cells presented, in the groups with combined treatment at long-term of PBM and FGF-2, a greater quantity of live cells than with these isolated treatments and/or at short-term. However, in the short-term of combined treatment PBM and FGF-2 supplementation, fibroblasts and macrophages were more viable by Alamar Blue, in direct and indirect contact respectively. The comet assay did not show cytotoxicity for DNA damage in fibroblasts indirect contact with membrane extract. The results highlight the potential of association of FGF-2 supplementation with the application of PBM for use with BCM, due to its promoted increased cell density at long-term and improved viability in fibroblasts and macrophages at short-term.
Preliminary QTL detection for Corynespora Leaf Fall disease resistance in rubber plant

Abstract. Oktavia F, Sudarsono, Dinarti D. 2021. Preliminary QTL detection for Corynespora Leaf Fall disease resistance in rubber plant. Nusantara Bioscience 13: 53-61. Corynespora Leaf Fall (CLF) disease caused by Corynespora cassiicola fungus is one of the most important diseases of rubber trees. Conventional breeding to obtain the resistant rubber clones was constrained by the long time required for selection processes. This study was aimed to identify resistant loci linked with CLF disease on the rubber tree. Analysis was conducted on 104 F1 of BPM 1 x RRIM 600. The resistance evaluation of the population had been done against two C. cassiicola isolates and the molecular analysis was generated by using 28 selected SSR markers. There was a phenotypic variation in F1 resistance to both isolates with leaf wilting intensities ranged from 5.2% to 33.4% on CC-06 isolate, and from 3.5% to 36.4% on CC-22 isolate. There was no QTL identified on the genetic linkage map, but a single marker analysis showed that some loci associated with CLF disease. The associated loci can be used as a preliminary information to develop molecular markers linked with resistance to CLF disease to assist the rubber breeding programs.
Effects of static magnetic field on growth, some biochemical and antioxidant system in lemon balm (Melissa officinalis L.) seedlings

The effects of magnetic waves as natural environmental factors on the Earths are not well known on plant growth and development. The present study was carried out to evaluate the effects of static magnetic field (SMF) treatment (4 and 6 mT for 30 and 120 min per day) for 8 days on the biomass production, proline contents and total soluble sugar, phenolic compounds, accumulation of H2O2 and MDA along with activity of antioxidant enzymes in lemon balm seedlings. Our results showed that SMF treatments, especially 6 mT and 120 min duration, increased the plant biomass, proline contents, phenolic compounds, H2O2 and MDA accumulation, and reduced the contents of total soluble sugars. The SMF application also increased the activity of superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX) and glutathione reductase (GR) enzymes compared to untreated seedlings. Our results suggest that SMF treatments induces the antioxidant defense system in the lemon balm seedlings and, by changing the plant metabolism, improves the early vigor of seedlings.
Influence of Administration Route and Dose on Biodistribution Profile and Effects of PEG-PLA Nanoparticles in Mice

Polyethylene glycol-polylactic acid nanoparticles (PEG-PLA NPs) represent a new generation of parenteral therapeutics systems. Following administration, these NPs possess the potential to interact with biological machinery. Therefore, it is essential to get a systematic understanding of the biological fate of these NPs to evaluate their safety. In the present study, two doses (20 and 40 mg/kg) of technetium-99m labeled PEG-PLA NPs were administered intravenous (i.v.) and oral into mice and the distribution was assessed at 1, 2, 4 and 24 h post administration. Biodistribution and blood kinetic profiles revealed the extended systemic circulation of the NPs. Dose-dependent presence of NPs (p<0.05) was detected in the blood, liver, lung, spleen, and kidney of i.v. injected mice, and also in the blood, lung, spleen, stomach, and intestine of oral administered mice. The consequences of NP interaction with the biological components were studied by measurement of hematology, oxidative stress, genotoxic and histological parameters. Significantly increased levels of oxidative stress markers such as glutathione were observed in the liver, and spleen of i.v. injected mice and liver, stomach, and intestine of orally treated mice. Decreased lipid peroxidation levels (p<0.05) were observed in the liver of orally treated mice versus untreated mice. Even though PEG-PLA NPs have been shown to induce oxidative DNA damage, interestingly no histological lesions were observed in selected organs except lung of i.v. treated mice, which showed moderate vascular congestion. Such insights on in vivo distribution and understanding of nano-bio interactions at molecular and genetic levels are considered fundamental for the designing of safer nanoparticles for biomedical applications.
Rhizobia inhabiting Gliricidia sepium in Puttalam district of Sri Lanka: assessment of stress tolerance and genetic diversity

Legume-rhizobia symbiosis has received higher attention as it enhances soil nutrition through the biological nitrogen fixation. However, stress factors such as excess salts, drought, acidity, alkalinity, and temperature etc. suppress the growth and symbiotic characteristics of rhizobia. Identification of stress tolerant rhizobial strains and their genetic diversity which influence the efficiency of nitrogen fixation in Gliricidia sepium is poorly studied. This study mainly focused on the characterization and identification of stress-tolerant rhizobial strains that were isolated from five root nodules of G. sepium from seven selected locations (Anamaduwa, Chilaw, Vanathawilluwa, Saliyawewa, Etiyawala, Palaviya, Kurinchanpitiya) of Puttalam district in Sri Lanka. Isolates were separately subjected to four different stress conditions, namely, pH (3.0 9.0), temperature (25 °C 45 °C), salinity induced by NaCl concentrations ranging from 0.1% to 3.0%, and drought induced by polyethylene glycol 8000 (PEG-8000) concentrations ranging from 0.1% to 0.4%. Rhizobial strains isolated from Anamaduwa, Chilaw and Kurinchanpitiya such as An-3, An-4, An-5, Ch-1, Ch-4, Ch5, Ku-2 and Ku-5 showed tolerance for alkaline pH (8.0 and 9.0) and extreme drought conditions (3.0% and 4.0% of PEG-8000). But their growth was adversely affected by acidic pH conditions (pH 3.0 and 4.0). Most of the rhizobial strains except strains in Etiyawala were moderately tolerant to extreme salt concentrations (2.5% 3.0% of NaCl) and extreme temperature levels (4045 oC). In the graphical interpretation, no growth pattern was observed with respect to four physiological conditions. Thirteen strains that were selected from the statistical analysis displayed higher survival capacity when the combination of different stress conditions was applied. As 13 rhizobial strains showed different banding patterns in the Enterobacterial Repetitive Intergenic Consensus (ERIC) profile, they belonged to 09 clusters at the 66.67% similarity level. Furthermore, these stress-tolerant rhizobial strains can be used to further studies on cross-inoculation of crop legumes as an alternative substitution for the vast usage of chemical nitrogen fertilizers.