Miracle-dz/UniFAR-FTUs huggingface dataset:
Internal outsourcing as personnel process optimization in a large company

The article is devoted to the presentation of the study results concerning the practice of personnel processes for the selection and adaptation of personnel in the context of the main functions of personnel management centralization in the form of internal outsourcing. One of the isolated subdivisions of the transport and logistics company of Russia, FESCO, was selected for the study. The company has locations in various cities of the country. In order to increase manageability and ensure the implementation unity of all processes in the company, many functions are centralized, including the function of personnel administration. The tasks of personnel provision are assigned to the personnel recruitment department of the FESCO Service Center. The study was conducted in order to identify problems in the implementation of personnel selection and their adaptation and to determine the possibility of these processes optimization. They used the following research methods: the analysis of approaches to this activity, the survey of the Transport Group employees and the experts of the centralized personnel service, and the timing of their working day. Thus, it was established that the practice of the company personnel recruitment and adaptation has the problems leading to a long-term closing of vacancies and overloading of HR managers. In order to optimize the functions, the possibilities of automating the selection and adaptation of personnel are considered. It is proposed to introduce template mailings into the practice of personnel management, to automate work with sites based on the E-Staff platform. They described the mechanism of work organization on the selection and adaptation of personnel using this platform, the indicators are given. They concluded that the automation of recruiters' activities has a positive effect on the effectiveness of worker recruitment and adaptation.
What About Reuse? A Study on the Use of Open Educational Resources in Dutch Higher Education

Extensive research has taken place over the years to examine the barriers of OER adoption, but little empirical studies has been undertaken to map the amount of OER reuse. The discussion around the actual use of OER, outside the context in which they were developed, remains ongoing. Previous studies have already shown that searching and evaluating resources are barriers for actual reuse. Hence, in this quantitative survey study we explored teachers’ practices with resources in Higher Education Institutes in the Netherlands. The survey had three runs, each in a different context, with a total of 439 respondents. The results show that resources that are hard or time-consuming to develop are most often reused from third parties without adaptations. Resources that need to be more context specific are often created by teachers themselves. To improve our understanding of reuse, follow-up studies must explore reuse with a more qualitative research design in order to explore how these hidden practices of dark reuse look like and how teachers and students benefit of it.
Using the constant current ‒ constant voltage converters to effectively reduce voltage fluctuations in the power supply systems for electric arc furnaces

AC electric arc furnaces (EAFs) are among the most common technological units for making high-quality steel. The use of furnaces is promising in the future as the production volumes of electric steel increase. These furnaces are powerful electrical installations exposed to the dynamic, asymmetrical, and nonlinear load, which adversely affects the quality indicators of electricity supply. Typically, this negative impact is reduced by connecting EAFs to high power energy systems or, in most cases, by applying different types of static reactive power compensators. Such approaches require considerable investment in the development of the power system or in the equipment of compensatory installations whose rated capacity is several times higher than the capacity of the furnace transformer. These approaches aim to reduce the effects of negative impact. It is possible to achieve the greater effect of limiting the negative impact, at smaller investments, by using an alternative approach that aims directly at the source of the negative impact. The approach implementation implies forming an external characteristic of the EAF power supply. The characteristic should be rigid in current in the region of furnace operating modes from operational short circuit to the rated load. In the region of modes from the rated load to idling, this characteristic should be rigid in voltage. Underlying the formation of this characteristic is a resonance converter, which ensures almost a stable value of the arc current under the furnace operating modes. This study has confirmed the significant benefits of the proposed approach, which proves more effective in improving the quality of electricity in the network. This makes it possible to use EAFs in smaller power systems and ensure the development of the industry at a lower investment
Correlations between Arteriograph-Derived Augmentation Index and Disease Activity in Acromegaly Patients.

Objective: The high prevalence of cardiovascular diseases in acromegaly patients attracted attention to the association between the growth hormone and cardiovascular system. New markers such as the augmentation index (AIx) and central aortic pressure (CAP) have recently been introduced to the clinical practice for a variety of diagnostic and monitoring purposes in predicting arterial stiffness and associated endothelial dysfunction. In this present study, we aimed to determine the condition of the vascular system using the non-invasive arterial stiffness marker; AIx measured using by the Arteriograph device and to evaluate the relationship between these markers and the disease activity in acromegaly patients. Methods: This was a cross-sectional study. The study included 53 acromegaly patients and 20 individuals age and sex matched as controls. The arterial stiffness was evaluated to estimate the AIx and CAP with a low-frequency suprasystolic waveform analysis in the occluded brachial artery, performed by using a Cardio Scope II Arteriograph device, which was adapted from a standard sphygmomanometer. Results: The mean augmentation index was statistically significantly different between the three groups, being 98% in the active acromegaly (AA) group, 92% in controlled acromegaly (CA) and 79.5% in the control group (p=0.001). In the acromegaly group, the results of the regression analysis indicated a strong correlation of the arterial stiffness parameters with HbA1c and the platelet counts, however, the levels of IGF-1 and GH were not correlated Conclusion: It might be thought that AIx may have an important role in predicting the cardiovascular risk in acromegaly.
Kinetics of motion of crystal‐melt interfaces

The principles of forming metastable solids by rapid melt quenching are reviewed with primary emphasis on the growth of crystals into melts and glasses. Experience is reviewed which indicates that the rate of growth of crystals in pure metal melts may be limited only by the impingement frequency of atoms from the melt on to the crystal face. However, growth requiring impurity distribution will be governed by the more highly correlated atomic transport processes within the melt. We have suggested that the shapr increase in the resistance to this redistribution with falling temperature is an important requirement for melt quenching alloys to the glassy state.Growth of crystals into covalently bound melts and glasses is, in contrast with that in pure metal melts, limited by thermal activation barriers with magnitudes near those of the covalent bond energies. The formation of ledges on densely packed crystal faces and the role of such ledges in crystal growth are discussed.The experience on the regrowth of cr.
Adsorbate Entropies with Complete Potential Energy Sampling in Microkinetic Modeling

The influence of different approximations on adsorbate entropies is investigated for density functional theory based mean-field kinetic modeling. Using CO oxidation over Pt(111) as a prototypical reaction, we compare four approximations: the harmonic approximation, the hindered translator, the free translator, and complete potential energy sampling (CPES). The CPES method results in particularly good agreement with previously measured experimental data. Given its general applicability and moderate computational cost, the CPES method stands out as a preferable option to describe adsorbate entropies.
Pandemic COVID -19 Stress and its Management to Households in Raipur City, India

Whole world is affected by Pandemic Covid-19 and it is very critical period for all of us. Due to Pandemic COVID-19, we all got fear and anxiety and result is STRESS, even we can say it is a Pandemic Stress. Impact of Stress in our body is very bad and our physical and mental condition imbalanced. So researcher finds in the paper, that Pandemic stress management in households of Raipur city (CG, India). The data was collected by online questionnaire method, from the 100 respondents of 20-65 year age group, surveyed from Raipur city. The result found by the research that mostly respondents have job stress due to Pandemic covid-19 and affect of this pandemic stress, respondents got mood swings on family members in irritable condition of lockdown period whereas mostly respondents enjoyed lockdown early period as like holiday but increased period of lockdown respondents caused stress due to no movement while and grocery related problem. Respondents got serious effect on mental and physical problem specially due to pandemic. Respondents got fear of covid virus and Headache. Respondents control their stress by spending time with family and respondents learn new things in lockdown period to get rid of from stress. Over all, we found that due to pandemic, respondents got stress by job and they also got some physical and mental problems, but most of the respondents tried to overcome their stress by spending time with family, meditation and learn new things.
Glycol and Water Solubility. An Interacting Molecular Description.

Recently there has been a growing interest in Glycol uid solubility in water. The applications of Glycol-Water uids is in the biomolecular eld, physical chemistry, and engineering, from protein dynamics to power production and storage devices technology. In this paper a theoretical model for nanometer scale or mesoscale interacting uids is derived for the interacting Glycol and water molecules. The theory is a semi-classical interacting potential theory which utilizes eective potentials such as of the Lennard-Jones type. The statistical distributions of the uids are derived from information theory and temperature dependent distributions are obtained for the Lennard-Jones potential interactions of the uids.
Language Contribution to Cultural Diversity: The Case of Fulfulde in the Extreme North in Cameroon

: The capacity to interact efficiently with people of diverse cultures entails awareness of one's own cultural worldview, attitude towards cultural differences, knowledge of dissimilar cultural practices and cross-cultural skills. That is why many staff development models that address diversity emphasize on the importance of learning culturally specific information including communication patterns, health beliefs and behaviors, religious practices, symbols, and rituals. Before, people’s differences were primarily learned through cultural or racial identities. Examples: African American, Asian and such identities suggest general expectations like religion, communication, career or behaviours. Pragmatically cultural differences have also been noted in the ways in which language is used. Therefore, language has a major adaptive advantage that differentiates Homo sapiens from other species and has been partially responsible for the evolutionary success of humans. Thus, the linguistic doctrine stipulates that no language is superior since all dialects are effective means of communication. The main objective is to stress on how language can affect culture although being part of it, consequently the best way of integration is by speaking the language of that community. In methodology we used participant observation, interviews and essential we have use both descriptive and analytical nature since our survey complement desk research. Models of living and learning could help individuals avoid stereotyping behaviour, adopt mutually acceptable objectives and measures for change. This is by being simple, accepting cross-cultural experiences while making room for improvement.
WHY SOME ELDERLY PEOPLE CANNOT USE THE HEARING AID

Results: The reasons for not using the hearing aid are as follows: 9 patients couldnot distinguish sounds; 8 patients’ cheap devices were not efficient; 6 patients showed a negative image so as not to be mentioned as disabled ; 6 patients’ device battery runs out too quickly but use it as needd; 5 patients’ device is making noise; 3 patients’ device often fails; 3 patients reported it giving them headache; 2 patients feltirritated and that it injured theirear; 28 patients did not participate in the hearing rehabilitation program and did not contact the seller company to make the technical settings of the device.
Interspecies transmission of coronaviruses and immunization: An Indian perspective

The milder form of infection and higher rates of recovery witnessed among COVID-19 patients in India is indicative of the potential intervention of other “unconventional” biological mechanisms. The recently established similarity between beta-coronavirus strains in animals and humans led us to hypothesize that previous contact with infected dogs or cattle could shield humans from the circulating SARS-CoV-2 virus. We further believe that our hypothesis, if confirmed by further studies, could be used as a potential vaccine strategy.
Efficient Solution Strategy for Chance-Constrained Optimal Power Flow based on FAST and Data-driven Convexification

The uncertainty of multiple power loads and renewable energy generations (PLREG) in power systems increases the complexity of power flow analysis for decision-makers. The chanceconstrained method can be applied to model the optimization problems of power flow under uncertainty. This paper develops a novel solution approach for chance-constrained AC optimal power flow (CCACOPF) problem based on the data-driven convexification of power flow and a fast algorithm for scenario technique (FAST). This method is computationally effective for mainly two reasons. First, the original nonconvex AC power flow (ACPF) constraints are approximated by a set of learning-based quadratic convex ones. Second, FAST is an advanced scenario-based solution method (SSM) that doesn’t rely on the pre-assumed probability distribution, using far less scenarios than the conventional SSM. Eventually, the CCACOPF is converted into a computationally tractable convex optimization problem. The simulation results on IEEE test cases indicate that 1) the proposed solution method can outperform the conventional SSM in computational efficiency, 2) the data-driven convexification of power flow is effective in approximating original complex AC power flow.
Responding to Living-Off-the-Land Tactics using Just-in-Time Memory Forensics (JIT-MF) for Android

Digital investigations of stealthy attacks on Android devices pose particular challenges to incident responders. Whereas consequential late detection demands accurate and comprehensive forensic timelines to reconstruct all malicious activities, reduced forensic footprints with minimal malware involvement, such as when Living-Off-the-Land (LOtL) tactics are adopted, leave investigators little evidence to work with. Volatile memory forensics can be an effective approach since app execution of any form is always bound to leave a trail of evidence in memory, even if perhaps ephemeral. Just-in-Time Memory Forensics (JIT-MF) is a recently proposed technique that describes a framework to process memory forensics on existing stock Android devices, without compromising their security by requiring them to be rooted. Within this framework, JIT-MF drivers are designed to promptly dump in-memory evidence related to app usage or misuse. In this work, we primarily introduce a conceptualized presentation of JIT-MF drivers. Subsequently, through a series of case studies involving the hijacking of widely-used messaging apps, we show that when the target apps are forensically enhanced with JIT-MF drivers, investigators can generate richer forensic timelines to support their investigation, which are on average 26% closer to ground truth.
An Empirical Study of Compression-friendly Community Detection Methods

Real-world graphs are massive in size and we need a huge amount of space to store them. Graph compression allows us to compress a graph so that we need a lesser number of bits per link to store it. Of many techniques to compress a graph, a typical approach is to find clique-like caveman or traditional communities in a graph and encode those cliques to compress the graph. On the other side, an alternative approach is to consider graphs as a collection of hubs connecting spokes and exploit it to arrange the nodes such that the resulting adjacency matrix of the graph can be compressed more efficiently. We perform an empirical comparison of these two approaches and show that both methods can yield good results under favorable conditions. We perform our experiments on ten real-world graphs and define two cost functions to present our findings.
Stephan Prantner’s Sunspot Observations during the Dalton Minimum

In addition to regular Schwabe cycles (≈11 yr), solar variability also shows longer periods of enhanced or reduced activity. Of these, reconstructions of the Dalton Minimum provide controversial sunspot group numbers and limited sunspot positions, partially due to limited source record accessibility. In this context, we analyzed Stephan Prantner’s sunspot observations spanning from 1804 to 1844, the values of which had only been known through estimates despite their notable chronological coverage during the Dalton Minimum. We identified his original manuscript in Stiftsarchiv Wilten, near Innsbruck (Austria). We reviewed his biography (1782–1873) and located his observational sites at Wilten and Waidring, which housed the principal telescopes for his early and late observations: a 3.5 inch astronomical telescope and a Reichenbach 4 foot achromatic erecting telescope, respectively. We identified 215 days of datable sunspot observations, which is almost twice as much data as his estimated data in the existing databases (=115 days). In Prantner’s records, we counted up to seven to nine sunspot groups per day and measured sunspot positions, which show their distributions in both solar hemispheres. These results strikingly emphasize the difference between the Dalton Minimum and the Maunder Minimum as well as the similarity between the Dalton Minimum and the weak solar cycles in the modern observations.
Return-based Scaling: Yet Another Normalisation Trick for Deep RL

Scaling issues are mundane yet irritating for practitioners of reinforcement learning. Error scales vary across domains, tasks, and stages of learning; sometimes by many orders of magnitude. This can be detrimental to learning speed and stability, create interference between learning tasks, and necessitate substantial tuning. We revisit this topic for agents based on temporal-difference learning, sketch out some desiderata and investigate scenarios where simple fixes fall short. The mechanism we propose requires neither tuning, clipping, nor adaptation. We validate its effectiveness and robustness on the suite of Atari games. Our scaling method turns out to be particularly helpful at mitigating interference, when training a shared neural network on multiple targets that differ in reward scale or discounting.
Zero-dimensional and pseudo-one-dimensional models of atmospheric-pressure plasma jets in binary and ternary mixtures of oxygen and nitrogen with helium background

A zero-dimensional (volume-averaged) and a pseudo-one-dimensional plug-flow (spatially resolved) model are developed to investigate atmospheric-pressure plasma jets operated with He, He/O2, He/N2 and He/N2/O2 mixtures. The models are coupled with the Boltzmann equation under the two-term approximation to self-consistently calculate the electron energy distribution function. An agreement is obtained between the zero-dimensional model calculations and the spatially averaged values of the plug-flow simulation results. The zero-dimensional model calculations are verified against spatially resolved simulation results and validated against a wide variety of measurement data from the literature. The nitric oxide (NO) concentration is thoroughly characterized for a variation of the gas mixture ratio, helium flow rate and absorbed power. An ‘effective’ and a hypothetical larger rate coefficient value for the reactive quenching N2(A3Σ,B3Π)+O(P3)→NO+N(D2) are used to estimate the role of the species N2(A3Σ, B3Π; v > 0) and multiple higher N2 electronically excited states instead of only N2(A3Σ, B3Π; v = 0) in this quenching. The NO concentration measurements at low power are better and almost identically captured by the simulations using the ‘effective’ and hypothetical values, respectively. Furthermore, the O(P3) density measurements under the same operation conditions are also better predicted by the simulations adopting these values. It is found that the contribution of the vibrationally excited nitrogen molecules N2(v ⩾ 13) to the net NO formation rate gains more significance at higher power. The vibrational distribution functions (VDFs) of molecular oxygen O2(v < 41) and nitrogen N2(v < 58) are investigated regarding their formation mechanisms and their responses to the variation of operation parameters. It is observed that the N2 VDF shows a stronger response than the O2 VDF. The sensitivity of the simulation results with respect to a variation of the VDF resolutions, wall reaction probabilities and synthetic air impurity levels is presented. The simulated plasma properties are sensitive to the variation, especially for a feed gas mixture containing nitrogen. The plug-flow model is validated against one-dimensional experimental data in the gas flow direction, and it is only used in case an analysis of the spatially resolved plasma properties inside the jet chamber is of interest. The increasing NO spatial concentration in the gas flow direction is saturated at a relatively high power. A stationary O2 VDF is obtained along the direction of the mass flow, while a continuously growing N2 VDF is observed until the jet nozzle.
SoK: Practical Foundations for Spectre Defenses

Spectre vulnerabilities violate our fundamental assumptions about architectural abstractions, allowing attackers to steal sensitive data despite previously state-of-the-art countermeasures. To defend against Spectre, developers of verification tools and compiler-based mitigations are forced to reason about microarchitectural details such as speculative execution. In order to aid developers with these attacks in a principled way, the research community has sought formal foundations for speculative execution upon which to rebuild provable security guarantees. This paper systematizes the community’s current knowledge about software verification and mitigation for Spectre. We study state-of-the-art software defenses, both with and without associated formal models, and use a cohesive framework to compare the security properties each defense provides. We explore a wide variety of tradeoffs in the complexity of formal frameworks, the performance of defense tools, and the resulting security guarantees. As a result of our analysis, we suggest practical choices for developers of analysis and mitigation tools, and we identify several open problems in this area to guide future work on grounded software defenses.