Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic variation of blue-tongue skinks of the genus Tiliqua (Squamata: Scincidae) from New Guinea and Wallacea

Populations of blue-tongue skinks inhabiting eastern Wallacea and New Guinea are traditionally assigned to either Tiliqua gigas, which is endemic to this area, or to Tiliqua scincoides that extends its range from the Australian continent. Despite a wide morphological variation among local populations, genetic data from non-Australian populations were almost absent. We examined 128 specimens and sequenced mitochondrial ND4, 12rRNA and nuclear cmos genes. A phylogenetic analysis revealed the presence of two main clades corresponding to species Tiliqua scincoides and Tiliqua gigas. We provide the first report of Tiliqua scincoides from the Aru Island and confirm that it is genetically related to the Tanimbar populations reported as Tiliqua scincoides chimaerea. The other samples belonged to Tiliqua gigas, which also shows a distinct phylogenetic structure congruent with the geographic origin of the samples. The main split conforms to the north-south pattern of genetic variation, which was also reported in other animal species in New Guinea. (1) Samples from the northern coast of Irian Jaya, Seram, and Kai Islands belong to a distinct clade, which further splits supporting the recognition of the Tiliqua gigas keyensis subspecies. (2) Samples from the Bird’s Head and southern coast of the Irian Jaya and Halmahera Island form the other clade within Tiliqua gigas, in which the Halmahera samples formed a shallow, but clearly distinct branch. The haplotype network analysis of mitochondrial ND4 gene in Tiliqua gigas samples suggests a strong differentiation among major population groups.
Screening and Identification of Mushrooms Growth Promoting Bacteria on Straw Mushrooms (Volvariella volvacea)

This research aimed to identify the indigenous Mushroom Growth Promoting Bacteria (MGPB) bacteria that can increase the growth of Volvariella volvacea. The research began by isolating indigenous MGPB from planting media of straw mushrooms in Karawang, Indonesia. The screening was performed to select bacterial isolates that can promote the highest growth of mushrooms by dual culture method on PDA media. There were 10 of the 58 highest bacterial isolates that have a positive effect on the vegetative growth of mushrooms. The 23K bacterial isolate was the most significant increase in mycelium growth compared to other isolates and bacteria-induced controls. A bacterial isolate 25K by gene analysis was identified by 16S rRNA (518F primer (5’- CCA-GCA-GCC-GCG-GTA-ATA-CG -3’) and 800R primer (5’- TAC-CAG-GGT-ATC-TAA-TCC -3’). The result from gene analysis shows that there are ~1550 base pairs products. BLAST analysis and phylogenetic tree adjustment results show that the closest diversity of this bacterial isolate 25K is Bacillus thuringiensis serovar konkukian str. 92-27 (equality value = 99%).
HDSpeed: Hybrid Detection of Vehicle Speed via Acoustic Sensing on Smartphones

Speeding is one of the biggest threatens to road safety. However, facilities like radar detector and speed camera are not deployed everywhere, as roads in some areas like campus and residential areas often lack these facilities. Several solutions either depend on pre-deployed infrastructures, or require additional devices, which motivate us to explore the practicability of using smartphones’ acoustic sensors to detect vehicle speed. In this paper, we propose a Hybrid Detection system for vehicle Speed (HDSpeed). We first investigate the relationship between acoustic pattern and vehicle speed. According to our findings on typical patterns of both electric vehicles (EVs) and gasoline vehicles (GVs), we separately extract different features from the acoustic signals of EVs and GVs. A CNN and an LSTMN are designed for training EV and GV models, respectively. Considering that applying neural networks obtains coarse-grained information like a speed section, we propose a detection method based on active acoustic sensing, in which method HDSpeed calculates the fine-grained speed by detecting the distance change between the smartphone and the passing vehicle. In addition, the previously detected speed section can eliminate interferences of surrounding moving objects. Through extensive experiments in real driving environments, HDSpeed achieves an average error of <inline-formula><tex-math notation="LaTeX">$2.17km/h$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>2</mml:mn><mml:mo>. </mml:mo><mml:mn>17</mml:mn><mml:mi>k</mml:mi><mml:mi>m</mml:mi><mml:mo>/</mml:mo><mml:mi>h</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="wu-ieq1-3048380.gif"/></alternatives></inline-formula>.
Detection of Cardiac problems by the Extraction of Multimodal functions and Machine Learning techniques

The machine learning based model is designed for robustness on the basis of both ECG based HRV analysis and non-ECG based analysis. The goal is to evaluate the efficacy of different machine learning classification models. A statistical analysis is provided with repositories such as MIT/BIH Normal Sinus Rhythm (NSR) and MIT/BIH Atrial Fibrillation (AF) and Peripheral Pule Analyzer. The model was checked on all possible subject conditions, the form of ECG database and the non-ECG signal. The Best Feature was chosen from the various HRV Settings that will be used for classification. In our intra group selection analysis, traditional and well-known machine learning classification techniques, such as Random Forest, Support Vector Machine, K-Nearest Neighbours, Adaptive Boosting, Support Vector Machine. Robustness is driven primarily by precision, flexibility and specificity. The 5 percent higher accuracy band and lower band model are tested. The Random forest has produced better performance and has been tested for its robustness. Testing is carried out for more than 20 indices and more than 40,000 combinations generated and added to the model for study. The efficacy of these classifier-based Intra-Group selection models is tested by performing variety of dataset experiments obtained from standard sets as well as acquired data. Overall experimental findings and discussions will enable all researchers to assess the effect of the features on the model.
Study on Wear Resistance of Ti-6Al-4V Alloy Composite Coating Prepared by Laser Alloying

Titanium alloy has extensive applications in numerous fields, such as in aerospace, shipbuilding, petrochemical, and bio-medical. However, under the condition of high temperature (above 700 °C), it is difficult to meet the requirements of the performance of the turbine blades, piston rings, valves, etc. In this paper, the alloy powder is composed of Ni60A, TiN, Al, and Si in accordance with the proportion of 1:3:4:2 (mass ratio), and the composite coating, such as TiN, TiB, Ti5Si3, and Al3Ti were synthesized on Ti-6Al-4V alloy by Yttrium Aluminium Garnet(YAG) laser. The friction and wear experiments were carried out on Ti-6Al-4V alloy and alloyed coatings at different loads (3N, 6N, 9N), and different temperatures (25 °C, 350 °C, 700 °C). The impact of load and temperature on wear performance were analyzed by analyzing the friction traces. The results showed that the abrasion loss, wear width, and depth, wear volume, and wear ratio of the alloyed coatings were less than Ti-6Al-4V alloy, and the surface of furrow was shallow and the wear was less. However, under high temperature conditions, the alloy coating wears worse than Ti-6Al-4V alloy, and the high temperature wear resistance is not ideal.
The Influence of E-Service Quality on Online Repurchase Intentions with Variables of Satisfaction as Mediation in Cafe and Resto in The City Of Padang in the Time of he Covid-19 Pandemic

The existence of the government's Large-Scale Social Restrictions (PSBB) policy during the Covid-19 pandemic encouraged every industrial sector to focus on online transactions. One of the industries in question is the food industry, represented by cafes and restaurants that are starting to pay attention to the concept of e-service quality to support the increase in online repurchase intentions in an effort to maintain business continuity. This study aims to determine the effect of E-Service Quality on Online Repurchase Intentions with the satisfaction variable as a mediation at cafes and restaurants during the Covid-19 pandemic. The causal quantitative research method, with this research design using a cross sectional study. The sample used is 170 customers who make online purchases at cafes & restaurants in the city of Padang. The data collection process uses a questionnaire, with the distribution presented in the form of an electronic questionnaire which is one of the google docs applications that can be accessed online via the internet by customers of online cafes and restaurants in Padang city, West Sumatra, Indonesia. In this study, there are three types of variables used, namely the first independent variable, namely e-service quality, the second is the mediating variable, namely customer satisfaction, and the third dependent variable is online repurchase intentions. Data analysis in this study used Partial Least Square (PLS). The results showed that E-Service Quality has a positive and significant effect on customer satisfaction and Online Repurchase Intention. Customer satisfaction also has a positive and significant effect on Online Repurchase Intention. The results of the mediation test show that satisfaction plays a role as a mediation between E-Service Quality and Online Repurchase Intention.
Analyzing UML Use Cases to Generate Test Sequences

Software testing is a main phase in the software development life-cycle. Testing tasks are always heavy and time-consuming due to their critical role and importance. Furthermore, testing requires several preparation steps, such as the test sequences. There are many ways to generate the test sequences to perform software testing. In this paper, UML use case diagrams are used to generate test sequences for software testing. The approach is proposed to make use of the UML use case diagrams in more than translating the software requirements to software specifications. The approach consists of several phases. Starting from converting the UML use case diagram into activity diagrams, going through the simplification step, and ending with extracting the needed information to generate the test sequences. The approach is evaluated using nine case studies from a business and systematic perspective. Moreover, the results are compared with the prior work.
Quantum Control of Rydberg Atoms

In 2007 the AEGIS experiment was started at CERN with the goal to determine the gravitational acceleration of the antihydrogen atom. This is achieved through accelerating the antihydrogen atoms toward a detector and measure the path of flight. To achieve the desired accuracy of the measurement, a large enough amount of antihydrogen atoms have to reach the detector. To obtain this objective, the use of quantum polarization control has been put forward. [1] The main obstacle turns out to be the large unknown number of initial states, the limited numbers of coupling and the symmetry of the dynamics. In the thesis, quantum control in the time domain is described and applied to Rydberg atoms. A code has been modified and extended with respect to unknown initial conditions. Several applications of the code illustrate the given challenge. In addition, controlled excitation (or de-excitation) indicate that increased initial polarization can be achieved.
The Scale Effect of Coarse-Grained Materials by Triaxial Test Simulation

The scale effect is an unavoidable problem in the laboratory test of coarse-grained materials. By combining the self-developed cellular automaton program with laboratory experiments, a method of simulating the triaxial test of coarse-grained materials was proposed in this paper, and a triaxial test numerical specimen that can characterize the discontinuous, nonuniform, and heterogeneous characteristics of bulk geotechnical materials was established. The parallel grading method was adopted to create six grading curves for numerical simulation based on one in situ grading curve. The failure process and the scale effect on the strength and deformation of coarse-grained materials were analyzed and discussed. The results showed that under the same confining pressure, the peak stress and initial deformation modulus E i increased with the increase of the maximum particle size d max , while the degree of shear shrinkage and Poisson’s ration υ decreased. As the confining pressure increased, the scale effect of coarse-grained materials would be magnified. If particle breakage and migration were assumed to be neglected, the internal friction angle φ and d max would be roughly proportional, the cohesive force c fluctuated with the increase of d max , and the empirical relations between d max and c and φ were established, respectively, which provides a reference for estimating the actual shear strength parameters of coarse-grained materials on-site. The research results can provide a way of thinking for the study of the scale effect of coarse-grained materials and also have certain reference significance for inferring the strength parameters of the original-graded coarse-grained materials.
Experimental Studies on Physicochemical Parameters of Water Samples before and after Treatment with a Cold Atmospheric Plasma Jet and its Optical Characterization

Cold plasma-liquid interaction becomes a growing interdisciplinary area of research involving plasma physics, fluid science, and chemistry. Plasma-liquid interaction has gained more interest over the last many years due to its potential applications in different fields. Cold atmospheric plasma jet is an emerging technology for surface drinking water treatment to improve quality and surface modification that is chemical-free and eco-friendly. Cold plasma treatment of water samples results in changes in turbidity, pH, and conductivity and in the formation of reactive oxygen and nitrogen species (RONS). As a result, plasma-activated water has a different chemical composition than water and can serve as an alternative technique for microbial disinfection. CAPJ has been generated by a high voltage 5 kV and a high frequency 19.56 kHz power supply. The discharge has been characterized by an optical method. To characterize the cold atmospheric pressure argon plasma jet, discharge plume temperature, and electron rotational and vibrational temperature have been determined. Cold atmospheric argon plasma jet produced at atmospheric condition contains high energetic electrons, ions, UV radiation, reactive oxygen, and nitrogen species named as cold plasma which has a wide range of applications in the biomedical industry, as well as in water treatment. Nowadays, researches have been carried out on ozonation through plasma jet interaction with surface drinking water. In this paper, we compare the change in physical and chemical parameters of surface water used for drinking purposes. The significant change in the physical parameters such as pH, turbidity, and electrical conductivity was studied. In addition, the significant changes in the concentration and absorbance of nitrate, ferrous, and chromium ions with respect to treatment time were studied. Our results showed that plasma jet interaction with surface drinking water samples can be useful for the improvement of water quality and an indicator for which reactive species play an important role in plasma sterilization.
Quality of smoked spent hen meat treated with ginger extract

Effect of incorporation of ginger extract (GE) in curing solution on the microbial and organoleptic quality of smoked spent hen meat was studied. Chicken halves were cured for 72 hr at 4 ± 1°C in a standard curing solution (control) containing salt, nitrite, sugar, phosphate and ascorbate or in standard curing solution incorporated with 2.5 % v/v GE treatment. After curing, chicken halves were smoked for 5 h in a smoke oven and stored at room temperature (25 ± 1°C). Incorporation of GE in the standard curing solution significantly (P L'effet de l'incorporation d'extrait de gingembre dans la solution de traitement sur la qualite microbiologique et organoleptique de viande de poule de reforme fumee est evaluee. Des carcasses sont traitees pendant 72h a 4°C dans une solution standard (controle) contenant du sel, du nitrite, du sucre, du phosphate et de l'ascorbate ou dans cette solution standard contenant 2,5% d'extrait de gingembre. L'incorporation d'extrait de gingembre reduit la force de cisaillement, ameliore les qualites sensorielles et microbiologiques des produits fumes.
Application of the vignette technique in nursing research with the elderly

Objetivo: Descrever a elaboração, validação e aplicação de vinhetas em pesquisas sobre percepção de risco de quedas de idosos. Metodologia: Estudo metodológico de elaboração de instrumento de coleta de dados e validação por um comitê de 15 juízes do Brasil e Portugal. Resultados: O processo de validação de conteúdo do instrumento com as 20 vinhetas resultou em um IVC de 0,90. Destas optou-se por excluir 08 (oito) que apresentaram cálculo individual, com valores abaixo de 0,90. Foram aplicadas aos idosos, 12 vinhetas cujo IVC individual variou de 0,96 a 1,0. Conclusão:A técnica de vinheta foi adequada para avaliar a percepção de risco de quedas de idosos residentes da comunidade.
How do teachers perceive meaningful leadership? Overview of a qualitative exploration

Leaders’ self-realization and their intra-group behaviors at work are influenced by elements such as a sense of meaningful purpose and intrinsic motivation. This study aims to construct a model of meaningful leadership, based on the values, aspirations, and attitudes of a leader and how these qualities help them develop positive organizational cultures. The research, based on constructivist grounded theory design, utilized semi-structured interview technique with 15 teachers, examining their perceptions of meaningfulness and leadership. These interviews revealed ten core dimensions of meaningful leadership: An ultimate purpose in life, sharing meaning, understanding, linking the past, present, and future, wisdom, peacefulness, a sense of ethics, serving others, inner motivation, and fostering unity. These dimensions can be considered essential when identifying meaningful leaders. This proposed model of leadership, with a focus on meaningfulness, can play a pivotal role in an organization by contributing to self-realization of members and ensuring the unity of purpose. In educational organizations, a meaningful leadership approach can leverage leaders’ efforts by providing an intrinsic motivation source for all school members.
Mesoporous nanocrystalline TiO2 loaded with ferulic acid for sunscreen and photo-protection: safety and efficacy assessment

In the present study, the use of surfactant-free mesoporous TiO2 combined with an antioxidant and photo-protecting agent, such as ferulic acid (FA), as a sunscreen was investigated for the first time. Ferulic acid is a natural antioxidant characterized by UV absorption capacity and radical scavenging activities and, due to these properties, it has been approved as an active ingredient in several skin lotions and sunscreens. However, despite the double function exerted by FA, the use of this molecule in the cosmetic field is limited by its poor stability. Aiming to overcome this drawback, mesoporous TiO2, prepared by using a sol–gel route assisted by a polyoxyethylene–polyoxypropylene block copolymer template followed by solvothermal treatment, was used as a matrix for the encapsulation of ferulic acid. The stability studies performed confirmed the ability of the prepared material to preserve the active molecule from degradation induced by light and, therefore, its properties. Antioxidant and anti-inflammatory activities of FA-loaded titania (TiO2@FA) and titania matrix (TiO2) were evaluated and high scavenging activity towards DPPH, ABTS and NO radicals were recorded. The in vitro assessment of the spectrophotometric Sun Protection Factor (SPF) was also performed and a value of 14.7 was observed for TiO2@FA while mesoporous TiO2 showed a lower SPF value equal to 2.6. These results suggested the potential application of the titania-doped FA as a “booster of SPF” that is able to enhance the SPF of a sunscreen. Furthermore, in vitro safety studies confirmed the biocompatibility of the prepared material and the absence of skin irritation.
The Influences of Antenatal Care, Postnatal Care and Early Initiation of Breastfeeding on an Exclusive Breastfeeding Pattern in the Working Area of Manukan Kulon Public Health Center at Surabaya City

Exclusive breastfeeding is very important for babies to maintain their immune system, brain intelligence,emotion stability and to protect babies from various diseases that are causes of death. Breastfeeding willalso benefit the mother, which will reduce blood loss during menstruation, restore maternal weight as beforepregnancy, reduce the risk of breast cancer, and uterine cancer. The purpose of this study was to determine theinfluences of antenatal care, postnatal care and early initiation of breastfeeding on an exclusive breastfeedingpattern. The samples used in this study were mothers who had babies aged 7-12 months in June to August2018 as many as 48 respondents in the working area of Manukan Kulon Health Center in Surabaya. Thisstudy used the descriptive and bivariate analyses. The obtained results were antenatal care (p = 0.001),postnatal care (p = 0.002) and early initiation of breastfeeding (p = 0,000). During pregnancy the majority ofmothers make complete antenatal care visits with a frequency of 10 times, antenatal care is very importantfor mothers, especially the pattern of breastfeeding. In addition to the importance of antenatal care visits,mothers who have given birth and are entering the postnatal care phase are required to make postnatal carevisits. Socialization from health workers and the support of closest people are required in order to achievethe exclusive breastfeeding.
The effects of applying just-in-time production system on maximizing profitability of small and medium industrial companies in Jordan

This study aimed to investigate the extent of applying just-in-time production system on maximizing profitability of small and medium industrial companies in Jordan, where maximizing profitability of companies represented in both (reducing product costs and reducing ending inventory obsolescence) for those companies. In order to achieve the objectives of the study, a questionnaire was designed as a tool for study and was distributed to the study sample represented by administrative managers and financial managers in small and medium industrial companies. The study community consisted of (235) companies of small and medium industrial companies. The Robert Mason equation was used to determine the sample size which consisted of 146 companies, where this study distributed 292questionnaires, and 217 of them were received, while 33 questionnaires were excluded, and the final sample was 184 questionnaires. The results of the study showed that there is a statistically significant impact of applying just-in-time production system on maximizing profitability of small and medium industrial companies in Jordan, and there is a statistically significant impact of applying just-in-time production system on (reducing product costs and reducing ending inventory obsolescence) in small and medium industrial companies. The Study recommended a number of recommendations, the most important of which is: It is necessary to review the successful experiences of international companies that adopt applying just-in-time production system, and to benefit from them by small and medium industrial companies in Jordan in applying just-in-time production system as an advanced tool for cost management and thus maximizing their profitability.