Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of digital and entrepreneurial competences for the future labour market needs

This article aims to identify what digital and entrepreneurial competences are required in a concept of New Work orientated labor market. To achieve this, the research takes a two-folded approach by breaking down how digitalisation changes the role of employees in a digital and automated world, which competences and organisational structures are required for a successful adaption of digitalisation in the company and what the digital awareness and the current transformation status in small and medium-sized companies in Bavaria (Germany) and Lithuania looks like. The research methods chosen to deal with a scientific problem in the theoretical part include an analysis of literature sources, systematisation, synthesis, generalisation, and comparison. The status of the research findings shows that digitalisation has arrived in companies, but especially small and medium-sized companies have to overcome various barriers. The focus on employees as stakeholders is crucial to these adaptation processes. Primary research has shown that the employer ́s and employee ́s sides have recognized the importance of implementation. Nevertheless, there is room for adjustments. Both sides also need to find their own path to adapt requirements and expectations, to start a successful cooperation. It could help adapt to rapidly changing market trends and link stakeholders via user-friendly technology, just because this technology is created through strategic collaboration activities (Laužikas, Miliūtė, 2020). The research was conducted in the framework of the project Development of digital and entrepreneurial competences for the future labour market need. This project of the Baltic-German University Liaison Office is supported by the German Academic Exchange Service (DAAD) with funds from the Foreign Office of the Federal Republic Germany. ENTREPRENEURSHIP AND SUSTAINABILITY ISSUES ISSN 2345-0282 (online) http://jssidoi.org/jesi/ 2021 Volume 8 Number 3 (March) http://doi.org/10.9770/jesi.2021. 8.3(35) Make your research more visible, join the Twitter account of ENTREPRENEURSHIP AND SUSTAINABILITY ISSUES:
Conjugative Plasmids of Klebsiella pneumoniae and Escherichia coli

the family Enterobacteriaceae, KkbsiekUapeumoniae and Escherichia coil, isolated from the same patient. Both isolates were resistant to amdkacin. In addition, the K. pne no strain was TEM-1 producing and resistant to gentamicin. An E. colt HB101 transconjugant obtined from K.pneumo, selcted on ci de, showed that CAZ-7 and amikacin resistance were encoded by an 85-kb Inc7 or M plasid, while an E. coli HB101
Spin crossover in (Mg,Fe)(Si,Fe)O3 bridgmanite: effects of disorder, iron concentration, and temperature

The spin crossover of iron in Fe3+-bearing bridgmanite, the most abundant mineral of the Earths lower mantle, is by now a well-established phenomenon, though several aspects of this crossover remain unclear. Here we investigate effects of disorder, iron concentration, and temperature on this crossover using ab initio LDA + Usc calculations. The effect of concentration and disorder are addressed using complete statistical samplings of coupled substituted configurations in super-cells containing up to 80 atoms. Vibrational/thermal effects on the crossover are addressed within the quasiharmonic approximation. The effect of disorder seems quite small, while increasing iron concentration results in considerable increase in crossover pressure. Our calculated compression curves for iron-free, Fe2+-, and Fe3+-bearing bridgmanite compare well with the latest experimental measurements. The comparison also suggests that in a close system, Fe2+ present in the sample may transform into Fe3+ by introduction of Mg and O vacancies with increasing pressure. As in the spin crossover in ferropericlase, this crossover in bridgmanite is accompanied by a clear volume reduction and an anomalous softening of the bulk modulus throughout the crossover pressure range. These effects reduce significantly with increasing temperature. Though the concentration of [Fe]S i in bridgmanite may be small, related elastic anomalies may impact the interpretation of radial and lateral velocity structures of the Earth’s lower mantle.
Accounting Earning Response Coefficient: Synthesis of Earning Responses

The research objective was to compare the value of the Earnings Response Coefficient (ERC) with the Accounting Earnings Response Coefficient (AERC). Research on earnings response has been carried out with mixed results using the Earnings Response coefficient. Several researchers provide arguments and highlight the weaknesses of the ERC measure used to measure earnings quality. This study suspects that the size of the ERC may be different if cash flows are applied and not only earnings based on historical cost or accrual principles. The synthesis process is carried out to generate new concepts and then comparisons will be made of the ERC and AERC results. The study was conducted on 69 companies listed on the Indonesia Stock Exchange in 2014-2017. The results of the different test results for the ERC and AERC values on the Paired Sample Test value are significant (0.000), which means that the value obtained by adding CFO to the AERC equation is different from the ERC concept. These results indicate that the earnings quality resulting from the AERC regression by adding the CFO value to the AERC equation is the earnings quality after being corrected by CFO, so that the AERC value reflects the real earnings quality.
Optimal Grain Size Based Landscape Pattern
Analysis for Shanghai Using Landsat Images
from 1998 to 2017

While they are an effective tool for studying landscape patterns and describing land-use change, landscape metrics are sensitive to variation in spatial grain sizes. It is therefore crucially important to select an optimal grain size for characterizing urban landscape patterns. Due to accelerated urbanization, Shanghai, the economic capital of China, has seen drastic changes in landscape patterns in recent decades and it would be interesting to take Shanghai as an example for examining the grain effect of landscape patterns. In this study, from Shanghai’s land use maps derived from Landsat images of 1998, 2007, and 2017 via random forest classification, a selection of landscape metrics was measured with 14 grain sizes ranging from 30 m to 460 m. Both the conventional first scale domain method and the information loss evaluation model were adopted to comprehensively determine an optimal grain size for characterizing Shanghai’s landscape pattern. After that, the land use dynamic degree model was used to explore the change in Shanghai’s landscape pattern under the optimal grain size. Results demonstrate that (1) the responses of landscape metrics varied with grain size, which could be divided into three categories, namely irregular trend, decreasing trend, and no clear change; that (2) the optimal spatial grain size for landscape pattern analysis was 60 m; and that (3) the degree of landscape aggregation decreased, whereas that of landscape diversity and fragmentation increased. This study shows a clear grain effect of landscape patterns and can provide useful insights for urban landscape planning.
Supplement to “Unfolding-Model-Based Visualization: Theory, Method and Applications”

The applications of multidimensional scaling, including multidimensional unfolding as a special case, are often followed by cluster analysis (e.g., Kruskal and Wish, 1978; Borg and Groenen, 2005) for better understanding and interpretation of the data visualization. In our context, it is often of interest to cluster the respondents and the items, respectively. This task is known as bi-clustering or co-clustering (Hartigan, 1972; Dhillon, 2001), which is often studied statistically under the stochastic coblockmodel (Choi and Wolfe, 2014; Rohe et al., 2016), an extension of the widely used stochastic blockmodel (Holland et al., 1983). Following multidimensional unfolding, it is natural to bi-cluster the respondents and the items based on the estimated ideal points, using the Euclidian distance as a natural measure of dissimilarity. In particular, we use the K-means algorithm (MacQueen, 1967) to cluster the respondents and the items into k1 and k2 clusters, respectively, for some pre-specified numbers of clusters k1 and k2. This two-step procedure for bi-cluster analysis is described in Algorithm A.1.
RespTracker: Multi-user Room-scale Respiration Tracking with Commercial Acoustic Devices

Continuous domestic respiration monitoring provides vital information for diagnosing assorted diseases. In this paper, we introduce RESPTRACKER, the first continuous, multiple-person respiration tracking system in domestic settings using acoustic-based COTS devices. RESPTRACKER uses a two-stage algorithm to separate and recombine respiration signals from multiple paths in a short period so that it can track the respiration rate of multiple moving subjects. Our experimental results show that our two-stage algorithm can distinguish the respiration of at least four subjects at a distance of three meters.
Halloysite nanotubes: prospects and challenges of their use as additives and carriers – A focused review

Abstract There is increasing research interest in potential applications of halloysite as fillers for polymer composites, controlled drug delivery, carriers for the supply and sustained release of active agents for anticorrosion coatings, in nanoreactors or nanotemplates, and for the uptake of contaminants or pollutants and support for catalysts. In this review, recent findings in terms of the prospects and challenges of using halloysite nanotubes (HNTs) in different polymeric matrices targeting a range of old and new applications are discussed and evaluated. The compositions include chitosan/halloysite membranes as bone-tissue scaffolds, polylactic acid (PLA)/halloysite membranes for food-packaging applications and their antimicrobial activities, instrumented impact properties of epoxy/halloysite nanocomposites and the role of halloysite in the self-healing of epoxy composites, polyacryronitrile (PAN)/halloysite membranes for use in water filtration as well as a review of some recent applications of halloysite/alginate beads in the adsorption of contaminants such as lead.
Multiple thermal switching effect on the stability of vanadium dioxide films

The study aimed at establishing the effect of multiple thermal switching on the stability of vanadium dioxide films. The films were produced in an atmosphere of a mixture of argon and ~ oxygen. On optimization of oxygen flow rate, films which were approximately ROnm thick and showed metal to semiconductor phase transition were obtained. Electron diffraction pattern showed the films to be polycrystalline. The sheet resitance was found to change by three orders of magnitude upon heating the films from room temperature to temperatures above transition temperature. The spectral normal transmittance over the wavelength range of 300 to 2500nm showed a monotonic increase in transmittance at 30°C to 69 % and a decrease in the infrared to about 16 % on running the spetrum at 100°C. The refractive index, n and the . extinction coefficient, k, for the as-deposited films were 2.85 and 1.47 for the semiconducting state respectively. Values of2.62 and 1.37 were obtained for the films in the metallic state for nand k respectively. Upon multiply switching the films the sheet resistance was found to increase by a small magnitude at both semiconducting and metallic states. The magnitude of change of sheet resistance decreased by a small magnitude but retained the same order. From I the temperature dependent transmittance the transition temperature was found to decrease and tend to stabilise at 61°C from 69°C for the as-deposited. The hysteresis loop width was found also to decrease from 15°C to lOoC upon cycl ing. The spectral normal transmittance showed no appreciable change upon cycling. After one thousand thermal cycles n increased to 3.08 and k decreased to 1.08 at semiconducting state. In the metallic phase both nand k decreased to 2.46 and 0.64 respectively, after cycling.
Method Development and Validation for Quantification of Sulfamethoxazole in Human plasma by UPLC-MS/MS

The main objective of the study aimed at developing and validating the advanced effective Liquid-Liquid Extraction method for evaluating Sulfamethoxazole in Human plasma, by following the FDA guidelines using UPLC-MS/MS and Sulfamethoxazole D4 as Internal Standard. The analyte was eluted using Acetonitrile: 10mM Ammonium Formate pH 4.5 (60:40 v/v) flows through the column and flow-rate of 0.400mL/min. The injected volume set was 5µl. Chromatogram obtained with isocratic elution with efficient separation. Spiking concentrations were fixed for the Calibration Curve and Quality Control samples that produced the linearity over the range of 320.635ng/ml to 22009.900ng/ml for the standard curve. The slope 0.0000535324 and corresponding intercept was plotted using the developed method. The method has been validated according to all established parameters of inter and intra precision and accuracy and showing recovery of 71.39% and 71.14% for SM and SMD4 respectively. Reinjection and Reproducibility and Auto Sampler Carry Over Test were met with the specifications. The validated method drew accuracy and meets specifications for the Big Batch, Hemolyzed and Dilution Integrity samples. This assay method was developed that proves all the stability parameters for the matrices as well as solutions used for the study and suitable for the bioequivalence study. The proposed method may also be applicable for the study of combined formulations.
Travel Intention to Visit Tourism Destinations: A Perspective of Generation Z in Vietnam

The purpose of this research is to investigate the impacts of gen-Z’s perception of consumer-generated content on social media on their travel intention with the mediating role of travel motivation push and pull. An online questionnaire survey of a total of 369 samples was conducted with the participation of gen Z in the most important cities across Vietnam. The model was analyzed using Structural Equation Modeling (SEM) using AMOS program 22 to investigate model relationships and all hypotheses are significant. The findings indicated that gen Z values the usefulness of social media and they use social media for knowledge-seeking (push factor), and this leads to their intention to visit a destination. SEM analysis also reveals that gen Z tends to use social media to find accessibility to any destinations and they are motivated highly with destinations that have clear and easy access, for example, no visa requirement or neighboring destinations. As the result, they have better intentions to visit these destinations. This research will help marketers, especially marketing specialists to gain a better understanding of gen Z, thus implement better marketing techniques to target gen Z.
Metabolite Profiling of Ficus deltoidea’s Most Active Fraction as Anti-Candida albicans Using UPLC-QToF-MS/MS

Background: Ficus deltoidea is a medicinal plant known for treatment by ethnic Dayaks, Kalimantan and called Tabat Barito. Empirically, the majority of Tabat Barito leaves are used to treat candidiasis. Scientific data on F. deltoidea activity in its activity against candidiasis or candida are still minimal. Metabolite profiling from the most active fraction of F. deltoidea against Candida has not been reported. Objectives: This study aimed to explore the most active part of F. deltoidea leaves against C. albicans by obtaining the most active fraction and identification of compounds in the most active fraction through metabolite profiling using UPLC-QToF-MS/ MS. Methods: The leaves were macerated using solvents with an increase in polarity, fractionation was done by column chromatography, while antifungal activity assay was carried out by diffusion method. Metabolite profiling was done using LC-MS/MS. Results: Assay results of extracts from F. deltoidea leaves against C. albicans showed that the best activity was owned by ethyl acetate extracts, with an inhibition zone of more than 10 mm. The strongest activity against C. albicans was shown by FrEA5 with an inhibition zone of 30.67 ± 1.155 mm, stronger than Voriconazole as a positive control with inhibition zone: 19.75 ± 0.5 mm. The metabolites that can be identified in FrEA5 were Nigeglanine; 1,1,2,3,3-Pentamethylindane; and 1,1’-(1,1-Ethenediyl)bis(3-methylpiperazine). Conclusion: This research shows that FrEA5 is the most active fraction of F. deltoidea leaves against C. albicans and the compounds contained in FrEA5 include Nigeglanine; 1,1,2,3,3-Pentamethylindane; and 1,1’-(1,1-Ethenedyl)bis(3- methylpiperazine). Key words: C. albicans, Ficus deltoidea, FrEA5, Metabolite Profiling, UPLC-QToF-MS/MS.
Novel Approach For Precise Fingerprint Detection

: Fingerprint recognition is very stable, reliable, and oldest biometric authentication technology that has been widely used in various civilian and government applications. Like other authentication technologies, fingerprint recognition is not totally free from spoofing. A fingerprint recognition system can be spoofed by placing artificially generated fingerprints of enrolled user at the sensor that are made up of materials like gelatine, silicon, wax or play-doh etc. Liveness detection is a technique to enhance the security of such systems by detecting physiological life signs in fingerprint samples to differentiate a real fingerprint from an artificial one. A live fingerprint image has the property to produce gray level variations along ridges due to presence of sweat pores, perspiration and skin quality (dry, wet) whereas a fake fingerprint has uniform gray levels that can give a fair idea about the liveness in input sample. In the proposed work, two fingerprints are captured by scanner at different time points (0 sec and 2 sec). In order to find their gray level variations, a gray level co-occurrence matrix of each fingerprint image is determined. After that, contrast value is computed from each matrix. If the difference in their contrast value is greater than threshold, then the input fingerprint sample is considered as live otherwise it is considered as fake. Liveness detection solution presented in this work helps to avoid direct attacks at fingerprint sensor that result in very secure and precise fingerprint detection.
ADAPTIVE CONTROL STRATEGIES FOR A CLASS OF RECYCLED

This paper presents the design and the analysis of some multivariable adaptive nonlinear control strategies for a class of depollution fermentation processes that are carried out in recycle bioreactors. The controller design is based on the input-output linearization technique. The resulted control methods are applied in depollution control problem in the case of the activated sludge process for which dynamical kinetics are strongly nonlinear and not exactly known. More precisely, the problem of adaptive controlling of two reactant concentrations with two control inputs is considered and is illustrated by the mentioned process. Simulation results are included to evaluate the performances of the designed controllers.
FuSeBMC: An Energy-Eﬀicient Verifier for Finding Security Vulnerabilities in C Programs

We describe and evaluate a novel approach FuSeBMC that exploits fuzzing and BMC engines to detect security vulnerability in C programs. It explores and analyzes the target C program by injecting labels that guide those engines to produce test-cases. FuSeBMC also exploits selective fuzzer to produce test-cases for the labels that fuzzing and BMC engines could not produce test-cases. Lastly, we manage each engine’s execution time to improve FuSeBMC ’s energy consumption. As a result, FuSeBMC guides the fuzzing and BMC engines to explore more profound in the target C programs and then produce test-cases that achieve higher coverage with lower energy consumption to detect bugs eﬃciently. We evaluated FuSeBMC by participating in Test-Comp 2021 to test the ability of the tool in two categories of the competition, which are code coverage and bug detection . The competition results show that FuSeBMC performs well if compared to the state-of-the-art software testing tools. FuSeBMC achieved 3 awards in the Test-Comp 2021: ﬁrst place in the Cover-Error category, second place in the Overall category, and third place in the Low Energy Consumption .
Rosin-based block copolymer intracellular delivery nanocarriers with reduction-responsive sheddable coronas for cancer therapy

Block copolymer-based self-assembled micellar nanocarriers exhibiting glutathione-responsive enhanced release of encapsulated drugs have been considered as promising candidates for tumor-targeting drug delivery applications. Herein, we report a novel rosin-based block copolymer designed to self-assemble toward micellar nanocarriers with positioned disulfides at interfaces of hydrophobic rosin cores and hydrophilic poly(ethylene glycol) (PEG) coronas. The rosin-based micellar nanocarriers exhibit excellent colloidal stability under pseudo-physiological conditions and in the presence of proteins. Further, they enable the delivery of anticancer drugs to cancerous tissues for the enhanced release of encapsulated drugs through the destabilization of micelles with loosened structures of cores as a consequence of reduction-responsive shedding PEG coronas from rosin-based cores in response to glutathione. The results obtained from in vitro cell culture experiments including cell viability and cellular uptake suggest that reduction-responsive detachment of coronas promotes the inhibition of cell proliferation after internalization into cancer cells. These results suggest that the current design of rosin-based block copolymers and their assembled nanostructures with reduction-responsive sheddable coronas offer great versatility as intracellular drug-delivery nanocarriers for cancer therapy.
Accident Detection using Deep Learning: A Brief Survey

– Today the road traffic accidents being a major reason of losing lives each day. The driver's mistake and late response time from the emergency services are the main cause of it. An effective road accident detection and information communication system is required in respecting of saving injured persons. A system being the sender of information messages to the required nearby emergency services about the location of the accident place for corrective response is absolutely as needed. According to the research literature, a number of such systems are proposed that automatically detects the accident as by numerous researchers. These detection system includes smart phones, vehicular Ad-Hoc networks, GSM and GPS technologies, and mobile applications. The implementation of an automatic road accident detection and information communication system in each &every vehicle is very crucial. As this paper gives a brief review on the techniques used in order to save people affected by the road accidents through automatic road accident detection system. Also, technique based on low cost ultrasonic sensors is also proposed.