Miracle-dz/UniFAR-FTUs huggingface dataset:
Studying Cell Physiology and Motility under Microgravitational Influence - Results of the FORAREX Mission on REXUS 25

The student project “FORAminifera Rocket EXperiment” (FORAREX) was developed and conducted within the student educational programme REXUS/BEXUS. Focus of this investigation was the cellular response of foraminifera to microgravity and the exceptional physical stress during rocket launch, e.g., vibration and acceleration. Further the launch impact on the shell building capacity of foraminifera was examined. For cultivating purposes, a life-support-system with a flow cell as observation chamber was built. Monitoring vitality and calcification was conducted with sensors measuring pH, oxygen and temperature of the sea water. FORAREX launched in March 2019 on the sounding rocket REXUS 25 on a nominal flight. This paper has been submitted in a similar version elsewhere. Keywords— Foraminifera, microgravity, cell physiology and motility, Gravitational Biology, life-support system, sounding rocket, REXUS/ BEXUS programme, International Space Station
Improving Load Forecasting of Electric Vehicle Charging Stations Through Missing Data Imputation

As the penetration of electric vehicles (EVs) accelerates according to eco-friendly policies, the impact of electric vehicle charging demand on a power distribution network is becoming significant for reliable power system operation. In this regard, accurate power demand or load forecasting is of great help not only for unit commitment problem considering demand response but also for long-term power system operation and planning. In this paper, we present a forecasting model of EV charging station load based on long short-term memory (LSTM). Besides, to improve the forecasting accuracy, we devise an imputation method for handling missing values in EV charging data. For the verification of the forecasting model and our imputation approach, performance comparison with several imputation techniques is conducted. The experimental results show that our imputation approach achieves significant improvements in forecasting accuracy on data with a high missing rate. In particular, compared to a strategy without applying imputation, the proposed imputation method results in reduced forecasting errors of up to 9.8%.
SUSTAINABLE WASTE MANAGEMENT IN SCHOOLS

A school district was interested in making sustainable changes in their cafeterias to lower their environmental impact. To determine their current state, weight and dimensions of their waste were taken, lunch observations and spaghetti diagrams were developed, and the purchasing process of lunch trays was determined. This was all used to create a current state map, a common industrial engineering tool used in lean manufacturing to display the flow of a system and label problem areas. From there, a life cycle assessment made with Umberto NXT LCA software was created for four lunch trays systems: disposable paper boats, compostable trays if sent to a composting facility, compostable trays if disposed of in a landfill, and reusable plastic trays. This was used to calculate the environmental impact and the results were compared for each tray. After this, a cost analysis was completed. One portion was developed to determine the expense or savings involved in switching to a different tray and/or dishwasher unit than what was already in place at each school level (elementary, middle, and high school). Another involved comparing the estimated amount of trash accumulated over a year with the annual volume of the dumpsters the schools were paying for. Lastly, a future state map was developed to lay out changes that could improve the system of the cafeterias. The current state showed some areas in need of improvement such as recycling behavior, cafeteria layout of the waste bins, and educational signage. In terms of the weight and volume data collected, the high school had the largest tray contribution to trash when comparing the total weight and volume of the trash with the trays. For the life cycle assessment, reusable trays had the lowest environmental impact based on the impact categories studied. The tray types with the highest impact were the compostable trays if sent to a landfill and the disposable trays. Once the cost analysis was completed, it was determined that while the reusable trays would be the best choice to lower environmental impact, it would be costly for any school level to switch to using them at that time. Switching to new dishwasher units, however, would save the schools money if the initial purchase could be covered. Finally, the future state map created incorporated changes that would resolve the problems noted in the current state map such as the positioning of waste bins and better signage.
The Model of Friendly Work Environment for Older Employees in Slovenia

In the context of demographic changes and active aging in the workplace, managing age diversity contributes to creating new perspectives across the entire field of human resource management. The main objective of this paper is to determine the impact of appropriate working conditions and training programs for older employees on the work motivation of older employees, as well as to determine the impact of work motivation on the work engagement of older employees in Slovenia. In the medium-sized and large companies that were involved in the research, we surveyed employers and older employees: in the questionnaire, employers indicated their agreement to the listed statements about appropriate working conditions and training programs for older employees, and older employees indicated their agreement to the listed statements about work motivation and work engagement. Structural equation modelling has been proven useful in exploring the links between these four constructs. Results show that appropriate working conditions and training programs for older employees have a positive impact on the work motivation of older employees and that the work motivation of older employees has a positive impact on the work engagement of older employees.
Yogic Eye Exercises Followed by the Ergonomic Advice on Eye Fatigue in Children Attending Online Classes in COVID-19

Background: Computer use by children especially school-aged children is growing rapidly In these decades, due to the rising use of IT, they are using computers or laptops not only for education purpose but also, for playing online games for a prolonged period Therefore, extensive viewing of the computer screen can lead to eye discomfort, fatigue, blurred vision and headaches, dry eyes and other symptoms of eyestrain But nowadays, in this hazardous situation, it has been compulsive and essential for the children to get an education by attending online lectures at home environment Methodology: 44 school-aged children attending online classes in the age group 6 to 15 years were included Eye fatigue was assessed through the 7-point Likert Scale before the exercise session The participants were instructed to follow the eye exercises and ergonomic advice for 6 days per week (twice a day) as a 4 weeks protocol After the exercise session, again eye fatigue was assessed through the 7-point Likert Scale Later data were collected and analysis was done Results: A significant reduction was seen in eye fatigue with self-relaxing yogic eye exercises followed by the ergonomic advice in school-aged children attending online classes in COVID-19 Conclusion: Eye fatigue was significantly reduced in the post-exercise session followed by the ergonomic advice as compared to the pre-exercise session in school-aged children attending online classes © IJCRR
Association Analysis-Based Cybersecurity Risk Assessment for Industrial Control Systems

With the adoption of various information and communication technologies and commercial off-the-shelf components, industrial control systems (ICSs) become highly vulnerable to cyberattacks. Dynamic cybersecurity risk assessment (CSRA) plays a vital role in the security protection of ICSs. To reduce the complexity of the modeling process in the dynamic CSRA, an association analysis-based CSRA approach is proposed in this article. It designs a three-layer association network (AN) to infer the probabilities of security incidents. The parameters of the AN are derived through mining the data of historical attack records. From a distance correlation analysis of the process data of the target system, an association matrix is obtained between the system state variables and the key security variables to quantify the cybersecurity risk of the system. A case study is conducted on a coupling tanks control system to demonstrate the effectiveness and timeliness of the proposed approach.
CARACTERIZAÇÃO EPIDEMIOLÓGICA DO MORMO EM EQUÍDEOS NO CEARÁ (2012 - 2016)

: Glanders is a zoonosis caused by the bacterium Burkholderia mallei, which mainly affects horses causing changes in the nasal mucosa, lungs, lymph nodes and pneumonia. In Ceará, glanders control and prevention are the responsibility of the Agricultural Defense Agency of the State of Ceará (ADAGRI) and the Ministry of Agriculture, Livestock and Supply (MAPA). In view of the zoonotic importance, the mandatory character of notification and the few epidemiological studies, this study aimed to characterize the epidemiological aspects of glanders in equines in the State of Ceará. For this purpose, secondary data from ADAGRI from January 2012 to July 2016 on the epidemiological profile of glanders in equines in Ceará were analyzed. In 38 municipalities in Ceará distributed throughout Ceará, especially in the Metropolitan region. A total of 138 equines analyzed were distributed as follows: 10 donkeys (7.2%), 114 horses (82.6%), 7 mules (5%) and 7 animals did not have the reported species (5%). The Quarter Horse breed and the Non-Defined Breed (SRD) animals were the most prevalent. Among equines, 66 were males (47.8%), 61 were females (44.2%) and 11 animals (8%) did not have sex informed. The vast majority of equines reported skills for the sport (Jockey Club) and work (Farm of Creation). In conclusion, horses from the Metropolitan region of both sexes, ranging in age from 0 to 11 years of age in the quarter-mile breeds and SRD animals, from Jockey Club and Breeding Farm with aptitude for sport (race / vaquejada) or work were tested for glanders between January 2012 and July 2016 in the State of Ceará.
SHOCK LEADERSHIP DEVELOPMENT FOR THE MODERN ERA OF PANDEMIC MANAGEMENT AND PREPAREDNESS

Scenarios that disrupt and jolt entire systems, such as the 2019 novel coronavirus (COVID-19) pandemic, place organizations, communities, and populations in volatile, uncertain, complex, and ambiguous (VUCA) environments that can affect all sectors of societies and can have disastrous effects ranging from high morbidity and mortality, political upheaval, and extensive economic damage that can last for weeks, months, or even years Effective leaders are considered one of the most pivotal resources for organizations both in times of normalcy and crisis, yet international criticism has flared pertaining to national, state, local, corporate, and policy leadership in this COVID-19 environment of discontinuous change We posit that these challenges arise as a result of historically rare allocation of sufficient resources to crisis and disaster preparedness This paper explores the leadership challenges associated with highly chaotic environments and makes a theoretical argument that leadership effectiveness in these scenarios can best be realized through advanced, comprehensive, and preparedness-based model of leadership development-Shock Leadership Development
Visualization of Neurophysiological Dynamic Communities within the Mouse Brain

This thesis is based on a project whose aim is to study, at a very low level, the mice brains, in particular, the auditory corticothalamic system. This research takes advantage of an innovative technology, the calcium imaging technique, that allows the visualization of mice brain neurons where the firing cells are visible with a high resolution. The datasets used in this project are movies obtained using the calcium imaging technique. These datasets are passed through a data processing pipeline, that ends with a visualization tool. This tool provided validation and inspection for the community affiliation of the cells. The focus of this thesis is the development of the visualization tool used as part of the project.
A New Approach to the Katětov–Tong Theorem

Abstract We give a new proof of the Katětov–Tong theorem. Our strategy is to first prove the theorem for compact Hausdorff spaces, and then extend it to all normal spaces by showing how to extend upper and lower semicontinuous real-valued functions to the Stone–Čech compactification so that the less than or equal relation between the functions is preserved. In this way, the main step of the proof is the compact case, and our approach to handling this case also leads to a new proof of a version of the Stone–Weierstrass theorem.
Effects of Pinus massoniana bark extract on the size of HeLa cells via Nesprin-2 pathway

Proanthocyanidins (PAs) is the main constituent of Pinus massoniana bark extract (PMBE). PMBE was reported to induce cell cycle arrest and apoptosis in HeLa cells. During cell division, cells synthesize protein in G1 and G2 phases and replicate chromatin in S phase during interphase, which increases cell mass. Nesprins, a kind of protein encoded by syne gene, is a vital part of cytoskeleton and plays a role in cell cycle progress and cell division. HeLa cells were used as a model to examine effects of PMBE on cell growth and Nesprins expression with MTT assay and RT- PCR analysis, respectively. The cell size was evaluated by counting the cell number in a fixed area under microscope. The results showed that the size of survival HeLa cells in PMBE-treated group was obviously larger than that of those in control group (p = 0.00223, < 0.01), whilethe mRNA expression level of Nesprin-2 decreased significantly in PMBE-treated group (p = 0.0201, < 0.05). On this account, we put forward a hypothesis that PMBE inhibits the expression of syne-2, which leads to the decrease of Nesprin-2 and further results in the size increase of HeLa cells.
A GaN-Based Four-Switch Buck-Boost Converter Using Ripple Correlation Control for Maximum Power Point Tracking in Dynamic Deep Space Environments

As the demand for high-performance power conversion in spacecraft continues to grow and spacecraft mass and volume budgets become increasingly tight, it is essential to design DC-DC converters with higher efficiency and power density. Although photovoltaic (PV) efficiency has increased over time, solar irradiance and temperatures can fluctuate dramatically in deep space. This causes significant variations in the maximum power point (MPP) of the PV array, which can decrease the overall system efficiency unless accounted for. Thus, it is imperative to track the MPP of the PV panels to maintain optimal efficiency. This paper presents the experimental development of a four-switch, GaN-based buck-boost converter with an implementation of the Ripple Correlation Control (RCC) MPPT algorithm for dynamic deep space environments. Due to the use of GaN HEMTs, the experimental system achieves better efficiency and power density compared to the previous state of the art implementations. A simulation of the prototype buck-boost converter was implemented in SaberRD (Synopsis), and a digital design of the RCC-based MPPT controller utilizing the StateAMS tool is presented. The simulation results show that this controller swiftly and precisely converged to the MPP of the source PV panels in a dynamic solar irradiance condition.
Genesis and characterization by laser Raman spectroscopy and high-resolution electron microscopy of supported molybdenum disulfide crystallites

Sulfidation of Mo/{gamma}-Al{sub 2}O{sub 3} based hydrotreating catalyst is a key step to activate the supported phase. In situ laser Raman spectroscopy (LRS) appears as a suitable technique for identifying intermediate species and characterization of the final state, i.e., MoS{sub 2} crystallites supported on Al{sub 2}O{sub 3}. A stepwise sulfiding procedure was used in varying different parameters, i.e., hydration state of the oxide precursor, composition of the sulfiding mixture H{sub 2}/H{sub 2}S or N{sub 2}/H{sub 2}S, temperature, and time duration. The important role of these experimental conditions on the detection of transition species during sulfidation has been pointed out. Different intermediates such as oxysulfides, sulfido compounds, and MoS{sub 3} appear to be the dominant ones, whose existence depends on the previously mentioned parameters. The crystallite size of the MoS{sub 2}, a function of the Mo loading and determined by HREM, influences the position and width of the {approx} 385-cm{sup {minus}1} line.
The Effectiveness of Supervision in Solving Problems Facing Teachers of Students with Autism Spectrum Disorder in Jordan

Teachers in all areas of life need supervision, which improves their job performance. This study aimed to recognize the effectiveness of supervision in solving problems facing teachers of students with an autism spectrum disorder in Jordan. The study sample consisted of 140 male and female teachers who were specifically selected. A tool for measuring supervision effectiveness has been developed through 49 items distributed across five domains. The validity and reliability of the tool have been verified. The study results show that the effectiveness of supervision in solving problems facing teachers of students with an autism spectrum disorder in Jordan is medium. The results also indicate that there are no statistically significant differences attributed to the variables of gender, or years of experience. A series of recommendations were given in light of the results such as the Ministry of Education and the Ministry of Social Development should implement training programs for teachers of students with autism spectrum disorder to broaden their experience and promote career development.
From skylight input to behavioural output: A computational model of the insect polarised light compass

Many insects navigate by integrating the distances and directions travelled on an outward path, allowing direct return to the starting point. Fundamental to the reliability of this process is the use of a neural compass based on external celestial cues. Here we examine how such compass information could be reliably computed by the insect brain, given realistic constraints on the sky polarisation pattern and the insect eye sensor array. By processing the degree of polarisation in different directions for different parts of the sky, our model can directly estimate the solar azimuth and also infer the confidence of the estimate. We introduce a method to correct for tilting of the sensor array, as might be caused by travel over uneven terrain. We also show that the confidence can be used to approximate the change in sun position over time, allowing the compass to remain fixed with respect to ‘true north’ during long excursions. We demonstrate that the compass is robust to disturbances and can be effectively used as input to an existing neural model of insect path integration. We discuss the plausibility of our model to be mapped to known neural circuits, and to be implemented for robot navigation. Author summary We propose a new hypothesis for how insects process polarised skylight to extract global orientation information that can be used for accurate path integration. Our model solves the problem of solar/anti-solar meridian ambiguity by using a biologically constrained sensor array, and includes methods to deal with tilt and time, providing a complete insect celestial compass output. We analyse the performance of the model using a realistic sky simulation and various forms of disturbances, and compare the results to both engineering approaches and biological data.
Growth and Immune Response of Broilers in Relation to Varying Dietary levels of Methionine and Threonine

Amino acids are structural and functional units of protein, nutritionally categorized into two groups; essential and non-essential amino acids. Amino acids play important physiological functions inside the body. Extensive research has been done on the use of synthetic amino acids in poultry feed. The uses of synthetic amino acids in diets make it easy to study dose dependent response in poultry birds. Methionine is considered as a first limiting amino acid in corn soya poultry diets. It is a sulphur containing amino acid (SAA) and plays important role for optimum growth performance of broilers. It is involved in muscle accretion, feather synthesis and important biochemical processes (as methyl-group donator). Methionine has been extensively supplemented in broilers diet to enhance the production performance and to decrease the cost of production in commercial broiler farming systems. Nutrient recommendations are available in order to achieve high broiler performance, but the levels of SAA can varies depending upon the production goal such as the optimization for breast meat yield or feed efficiency etc. Threonine is third limiting amino acid in poultry diet. A lot of research work has been done to find optimal level of threonine to get high broiler’s performance. Threonine has an impotent role in the gut health as an essential component of mucin. Threonine is the part of immuno-globulins and also works as proteinogenic amino acid. The health status of birds has a direct link with their immune system and broilers with strong immune system grow better. Research has showed that birds shows better performance at higher dietary methionine and threonine levels with better immune system.
Advances in studies on histone deactylase inhibitors as anticancer drugs

Inhibitors of histone deacetylases (HDIs), by affecting the process of histone acetylation, lead to changes in chromatin condensation, and in consequence, to changes in the expression of numerous genes responsible for the cell cycle and differentiation. Therefore, they can be effective in the treatment of cancer. The antitumor activity for over 15 HDIs has been confirmed so far, and some of them have been approved in the USA and Europe, mainly in combination with cytostatics or radiotherapy. For several HDIs, large clinical trials are being carried out to estimate their effectiveness, in monotherapy and new combinations. Other synthetic and natural compounds with HDI activity are tested in preclinical studies. HDIs differ in terms of chemical structure, biological activity and specificity in relation to individual HDACs. The compounds active against classic HDACs (Zn2+-dependent metalloproteins) are usually characterized by the presence the Zn2+ binding group, the linker part and the capping group. Taking into account the type of Zn2+ binding group, classic HDIs are classified as short-chain fatty acids, hydroxamic acids, cyclic peptides and benzamides. In turn, the nicotinamide adenine dinucleotide-dependent SIRTs inhibitors are small molecules, mostly nicotinamide and β-naphthol derivatives. The presented paper summarizes the most important information regarding the use of HDIs as anticancer drugs, regarding their diversified chemical structure, activity against HDACs, additional therapeutic properties and side effects. The review was made taking into account the literature from the last five years (2013-2017).