Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating the Effects of Strapping Pressure on Human-Robot Interface Dynamics Using a Soft Robotic Cuff

Physical human-robot interfaces are a challenging aspect of exoskeleton design, mainly due to the fact that interfaces tend to migrate relatively to the body leading to discomfort and power losses. Therefore, the key is to develop interfaces that optimize attachment stiffness, i.e., reduce relative motion, without compromising comfort. To that end, we propose a method to obtain the optimal attachment pressure in terms of connection stiffness and comfort. The method is based on a soft robotic interface capable of actively controlling strapping pressure which is coupled to a cobot. Hereby the effects of strapping pressure on energetic losses, connection stiffness, and perceived comfort are analyzed. Results indicate a trade-off between connection stiffness and perceived comfort for this type of interface. An optimal strapping pressure was found in the 50 to 80 mmHg range. Connection stiffness was found to increase linearly over a pressure range from 0 mmHg (stiffness of 1139 N/m) to 100 mmHg (stiffness of 2232 N/m). And energetic losses were reduced by 42% by increasing connection stiffness. This research highlights the importance of strapping pressure when attaching an exoskeleton to a human and introduces a new adaptive interface to improve the coupling from an exoskeleton to an individual.
Validation of Indian Diabetic Risk Score for detecting Undiagnosed Diabetics in A Semi-Urban Population of Mangalore-South India

Background: Diabetes is considered as an "iceberg disease". According to latest WHO estimates the number of people with diabetes worldwide in 2000 is 171 million which is likely to increase to at least 366 million by 2030.Indian Diabetes Risk Score is useful for identifying undiagnosed diabetic subjects in India and includes four risk factors: Age, Abdominal obesity, Family history of diabetes and Physical activity in predicting diabetes. Objectives: To Validate the Indian Diabetic Risk score for detecting undiagnosed diabetics in a Semi urban population. Material and Methodology: The study was a validation study conducted in the field practice area of K.S. Hegde Medical Academy, Mangalore in 2015. Universal sampling was done among 80 households to obtain a minimum sample size of 160 participants. Two from each household one being the highest age and one being the middle age among the households were enrolled. Individuals aged 20 years and above were included to validate the Indian Diabetic Risk score. Informed consent was taken before introducing the participants to the study and two Random blood sugars were checked. Results: Out of 160 participants 31.9% were male and 68.1% were female. Indian diabetic risk score >60 were 60%. Mean risk scores was 57.4±2x1.7. Out of 160 respondents, 86.9% were non-diabetic and 13.1% were detected diabetic. There was a significant difference in Indian diabetic risk score among diabetic and non-diabetics (p<0.001). Indian diabetic risk score >60 had sensitivity of 95.2% and specificity of 45.3% in predicting diabetes. Area under ROC was 0.719 (95% CI:0.62-0.81). Conclusion: Indian diabetic risk score can be used as a simple screening tool in predicting and detecting undiagnosed diabetics in the community.
Empirical Analysis on the Relationship between Highway Construction and Economic Development based on VAR Model

According to the data of the highway infrastructure construction and economic development from 1988 to 2017, a double-quantities VAR model was established to studied the long-term and short-term relationship between the two quantities of China's highway infrastructure construction and economic development. The research results show that the expressway construction index and economic development index are greatly disturbed by their own degree and influenced by each other's variables for a long time. The influence of highway construction on economic development is greater than that of economic development on highway infrastructure construction.
Research on the effect factors of technical performance on SMEs by industrial sectors

This study's research question is that there will be a crucial element in improving business performance among SMEs' success variables and competencies. Significantly, there should be different variables for performance in industry sectors. 1) The success variables of SMEs vary widely, but four characteristics of technology, management, commercialization, and exit strategies were selected. 2) The mediator is a technology innovation and technology marketing function. 3) The dependent variables are technical, financial, and nonfinancial performance. Previous literature had problems studying only the effects of each of the three variables, so we established a hypothesis and research model that focused on causality studies linking them. According to the data group analysis result for 3330 CEOs of SMEs, the six industries' performance impact factors were different. As a result of comparative analysis of changes in performance impact by industry, it was found that the largest increase in Information Technology (IT)/Software (S/W), Life/Food, and Crafts sectors. The key research finding is that it has verified the essential elements of critical performance improvement. We provided that different success variables and competencies differ in performance across industries. The results are expected to contribute to SMEs' CEO and government policymakers' practical applications, support organizations, academia, and industry.
Effects of influent composition on activated sludge protozoa

In the present study the characteristics of activated sludge protistan community in two sequential batch reactors operating with activated sludge (SBR) and with activated sludge and plastic biofilm carriers (SBBR) was assessed in terms of species present, biovolumes of the species and their statistical importance to the treatment efficiency. The study identified two important factors affecting the protistan community. These factors were the influent composition and the presence of biofilm carriers. Statistical analysis revealed that protozoan species observations may be used as indicators for the determination of trophic relations in the activated sludge and thus comprise precursors for the prediction of effluent quality.
Heart Disease Prediction Propagation approach

Data mining methods are used to test complicated data and regression processing on the basis of input data sets is used for the estimation of results. A variety of prediction analysis methods have been implemented in recent years. The clustering method k-means and SVM ( support vector machine) are a statistical computational technique for clustering and defining main data for the detection of cardiac disorders in this study. The Back Propagation Method is used in tandem with k-means clustering algorithm to cluster knowledge for improved prediction research performance. The output of the implemented algorithm is found in the cardiac disorder data sample collected from the UCI depositor. Within this sample, there are 66 attributes. Nonetheless, a subgroup of 14 qualities is needed for every study. The Cleveland platform is utilized in particular for machine-learning investigators. The research designed correlates with the current techniques, precision, error identification and deployment time (using the numerical mean).
PSYCHROPHILIC MICROBIAL DIVERSITY AND PHYSICOCHEMICAL CHARACTERISTICS OF GLACIERS IN THE GARHWAL HIMALAYA, INDIA

The main objective of the current research work was to investigate the physicochemical properties of ice samples collected from the snout of three important glaciers located in the Garhwal Himalaya along with the psychrophilic microbial diversity. This study was carried out for two years from 2015 to 2016 with two sampling attempts each year. Ice samples were collected from all the pre-identified sampling sites at a depth of 5cm to observe and record the characteristics and to isolate and identify the psychrophilic diversity of microorganisms. Overall fourteen physical and chemical properties of ice samples were recorded. The psychrophilic microbial diversity was identified through the morphological, biochemical and MALDI-TOF-MS techniques. The α–diversity of microbes in the ice of Satopanth glacier was 17 with 08 bacterial species, 04 actinomycetes species and 05 fungal species. However, the α–diversity of microbes in the ice of Bhagirathi-Kharak glacier was also 17 with 06 bacterial species, 05 actinomycetes species and 06 fungal species. The α–diversity of microbes in the ice of Gangotri glacier was 19 with 09 bacterial species, 05 actinomycetes species and 05 fungal species. The present research work can be a decent reference for additional investigations in a similar discipline. The available data will also help the researchers to study the psychrophiles, their existence in glaciers and their importance to society.
Implementation of the inclusive CICO Plus intervention for pupils at risk of severe behaviour proble

Check in–check out (CICO) is a widely used and studied behavioural intervention. Although CICO is an effective way to support pupils’ behaviour in a school context, not all pupils benefit from basic CICO. A single-case experimental study was designed to evaluate the effects of CICO Plus support (CICO Plus) for participants whose behaviour was determined to be non-responsive to basic CICO. CICO Plus was planned and implemented with four pupils identified by school CICO teams as needing additional behavioural support. Individual CICO Plus support was planned by multiprofessional teams working on each pupil’s case. The CICO Plus support was based on teaching social skills and behaviour at least three times a week in collaboration with families, schools and social and health care services. A concurrent multiple baseline design revealed increases in pupils’ appropriate behaviour in their targeted behavioural goals and decreases on pupils’ disruptive behaviour in school situations. Fidelity of the CICO Plus intervention and social validity among school personnel were also assessed. Results indicated that practical multiprofessional co-operation is essential to lay the groundwork for inclusive support for pupils at risk of severe problem behaviour.
HIGH BIODIVERSITY IN A CITY CENTRE: ODONATOFAUNA IN AN ABANDONED LIMESTONE QUARRY

Limestone quarries are known to be places where the diversity of xerothermophilic organisms is promoting diversity and in some, there are water bodies that potentially support the presence of hydrobionts. These include dragonflies (Insecta: Odonata), which, as amphibiotic insects, use both aquatic and terrestrial habitats. The purpose of this paper was to determine whether there was a high diversity of odonatofauna in an old limestone quarry with well-developed aquatic habitats, located in an urban environment in the Central-European city of Kraków (S Poland). For this purpose, dragonflies in the quarry were monitored regularly, focusing on the reproductive status and relative abundance of each species. In 2017–2018, 37 species belonging to seven families of Odonata were recorded in the quarry, which is 50% of the Poland’s odonatofauna. Of these, 33 species were considered indigenous to the quarry. Among them, 30% were moderately urbanophobic or urbanophobic taxa. Habitat specialists made up 39% of the species. Some rare and declining species, i.e. Leucorrhinia pectoralis and L. rubicunda, were abundant at this site. The study shows that a well-preserved secondary habitat, located in the centre of a city and not subject to urban management, can support a high diversity of odonates. Such limestone quarries in highly transformed urban environments can be valuable sites for this indicator group of organisms and should be identified, evaluated and conserved.
REDUCING GROWTH RATE OF THREE ASPERGILLUS SPECIES (MAIZE SEEDS-BORNE FUNGI) BY USING AQUEOUS EXTRACT OF SOME LOCAL PLANTS

Several species of fungi were isolated from maize seeds. The highest frequency was genus Aspergillus of three species: Aspergillus flavus, A. niger and A. parasiticus. Poisoned medium method were Applied of five different plant extracts Nigella seeds, pomegranate peels, (Eucalyptus and Euphorbia leaves) and Ginger roots were used to reducing the growth rate of fungi by measured radial growth rate divided by time, the first growth rate (0-2 days), second growth rate (2-4 days) and third growth rate (4-6 days). A decrease in the growth rate of A. flavus and A. niger was observed by using Nigella and Ginger, while all plant extracts reduced the growth rate of A. parasiticus. The growth rate of the three species A. flavus, A. niger and A. parasiticus it was no significant difference among three growing stages of the first growth rate, then decreased sharply at the second growth rate and returned to rise at the third growth rate compared to control.
Do environmental and financial performances affect environmental disclosures? Evidence from listed companies in Indonesia

The number of companies in Indonesia that have participated in environmental-related activities continues to grow. Some of these companies have also engaged and implemented an assessment program called Program for Pollution Control, Evaluation, and Rating (PROPER). This assessment program was initially launched by the Indonesian Ministry of Environment in 1995 to measure and rate the environmental performance of companies in Indonesia. They have also administered an environmental management system as part of their environmental protection initiatives. However, the level of environmental disclosure by these companies is still low. This may occur due to the current situation in which the companies are not obliged to incorporate environmental disclosures on their annual reports. For those companies that disclose their environmental performance, there is also no apparent reason on why they have done that. This research aims to examine the effect of environmental performance, company financial performance, and company characteristics on environmental disclosure. The population used in this research comprised of all registered non-financial companies in the Indonesia Stock Exchange in 2014–2016. The sample was selected using a purposive sampling method to obtain 36 sample companies and analyzed through multiple regression analysis. Results show that the environmental performance variable, which is described by PROPER ratings and environmental management systems, and company size variable, both affect the extent of environmental disclosures. However, the financial performance variable, which is described by companies’ profitability and leverage, and the number of board commissioners variable, both do not significantly affect the extent of environmental disclosures.
Experimental and calculational consequences of phases in molecules with multiple conical intersections

We set up a theoretical model for treating several degeneracies between two adjacent potential energy surfaces in molecular systems, e.g., cases of four (or more) conically intersecting degeneracies, located in a plane formed by two-fold molecular displacement coordinates, in trigonal (or cubic) symmetry and twin conical intersections (CIs) for molecules with two-fold symmetries. When the system circles (in a time-variant manner) entirely inside or entirely outside these CIs, it picks up phases (the geometric phases) that are zero or 2Nπ. Here, N is (to a good approximation) an integer whose value depends on the Hamiltonian for the system, on the distance of circling from the CI, and on the speed of circling. For the adiabatic (slow circling) limit, we develop a simple algebraic-graphical method that yields the value of N in each case. Even in this limit, the value of N is model dependent and is not uniquely given by the number of CIs that are circled. Further, we suggest an experiment (based on a pump-probe method) for tracing the time development of a system that is subject to a periodically varying field carrying it around the CI. The experiment leads to relations between the spectroscopic transition strengths and state amplitudes, such that the (open-path) phases are fully given (including the additive 2Nπ term and excluding the dynamic phase). Finally, we compare geometric phases that differ by integral multiples of 2π and, therefore, cannot be distinguished by phase interference. We show that the different cases have, nevertheless, observational correlates in the number of times that zero or unity occurs in a wave function component amplitude during circling. The rules of correspondence are given. © 2003 Wiley Periodicals, Inc. Int J Quantum Chem, 2003
Large-scale molecular dynamics simulations of collision cascades caused by primary knock-on atoms in Fe

We report on large-scale molecular dynamics (MD) simulations of energetic primary knock-on atoms (PKA) in crystal BCC Fe. We carry out 1000 randomly directed PKA collision cascades simulations at PKA energies of 0.1, 0.5, 1, 2, 3, 4 and 5 keV using the large-scale atomic molecular massively parallel simulator code. We study the statistical spread of the number of displaced atoms and recombination within a collision cascade in Fe. It is shown that the PKA must be launched in around a few hundred different randomly chosen directions for the variance in the number of displaced atoms to reach a steady value. We also compare our results for the number of displaced atoms with that from the Norgett, Robinson and Torrens model and other MD simulations of collision cascades.
OP-MOLB190178 18..30

Novel sequences (NSs), not present in the human reference genome, are abundant and remain largely unexplored. Here, we utilize de novo assembly to study NS in 1,000 Swedish individuals first sequenced as part of the SweGen project revealing a total of 46 Mb in 61,044 distinct contigs of sequences not present in GRCh38. The contigs were aligned to recently published catalogs of Icelandic and Pan-African NSs, as well as the chimpanzee genome, revealing a great diversity of shared sequences. Analyzing the positioning of NS across the chimpanzee genome, we find that 2,807 NS align confidently within 143 chimpanzee orthologs of human genes. Aligning the whole genome sequencing data to the chimpanzee genome, we discover ancestral NS common throughout the Swedish population. The NSs were searched for repeats and repeat elements: revealing a majority of repetitive sequence (56%), and enrichment of simple repeats (28%) and satellites (15%). Lastly, we align the unmappable reads of a subset of the thousand genomes data to our collection of NS, as well as the previously published Pan-African NS: revealing that both the Swedish and Pan-African NS are widespread, and that the Swedish NSs are largely a subset of the Pan-African NS. Overall, these results highlight the importance of creating a more diverse reference genome and illustrate that significant amounts of the NS may be of ancestral origin.
Exogenous Testosterone as a Risk Factor for Male Infertilityand Recommendations for Recovery

Citation: Roberson R, Kerna NA, Nomel R. Exogenous Testosterone as a Risk Factor for Male Infertility and Recommendations for Recovery. EC Endocrinology and Metabolic Research. 2020 Nov 16: 5.12: 16-21. Abstract Exogenous testosterone use is widespread in the adult male population—with or without age-related infertility or medical necessity. Exogenous testosterone compounds are readily available to the consumer. There are benefits to its indicated and supervised application; however, caution regarding its use is advised. Exogenous testosterone supplementation alters testicular biochemistry, leading to azoospermia and infertility in men, previously unaffected by age-related infertility. Also, long-term use has public health consequences in that it can increase the incidence and prevalence of prostate cancer in otherwise healthy men. Fortunately, in most men unaffected by age-related infertility, there is a return of normal spermatogenesis within one year of discontinuation of exogenous testosterone. This paper reviews and summarizes exogenous testosterone’s adverse effects on the male hypothalamic-pituitary-gonad axis, the remedy and recovery thereof, and the public health risk.
HEAT SHOCK PROTEINS GENES: A REVIEW

A large part of the data published on human Hsp70 family deals with the major stress-inducible members of the family,Hsp701a and 1b (called Hsp70-1). Hsp70-1a and-1b are encoded by closely linked, stress-inducible and intronless genes, HSPA1A and HSPA1B, that reside in the major histocompatibility complex (MHC) class III genes are located on chromosome 6 (6p21.3). It covers 700 kb and contains 61 genes. The gene cluster is the most gene-dense region of the human genome. They are basically similar with those of other animals. The functions of many genes are yet unknown. Many retro elements such as human endogenous retrovirus (HERV) and Alu elements are located in the cluster. The region containing genes G11/C4/ Z/CYP21/X/Y, varying in size from 142 to 214 kb, is known as the most complex gene cluster in the human genome.
Modeling the Spending and Welfare Eﬀects of School Finance Reforms

School districts in the United States rely on both funding from state governments and their own local tax collection. The dual nature of education funding complicates the analysis of school ﬁnance policy, since districts can adjust their local revenue collection in response to state funding changes and use accumulated savings buﬀers to divorce spending choices from current revenue levels. Focusing on the helpful institutional setting in the state of Ohio, I address this challenge and develop a method to evaluate the long-run consequences of school ﬁnance reforms. I ﬁrst build a dynamic model of school district behavior and validate its reduced-form predictions about levy-proposal and spending-saving decisions. I then estimate the model, leveraging the large amount of annual variation in districts’ ﬁnancial resources caused by historical volatility in state aid and a unique state law freezing the nominal value of local property tax revenue. The structural estimates allow me to simulate individual districts’ reactions to state funding changes and compute the resulting spending and welfare eﬀects of counterfactual policy reforms. Diﬀerences in districts’ estimated preferences and initial ﬁnancial conditions create substantial heterogeneity in the behavioral responses that determine the ultimate pass-through eﬀect of state funding changes on spending levels. By targeting districts with the most favorable behavioral responses and the highest valuations of marginal funds, budget-neutral reallocations of state aid can attain welfare increases equal to 4% of Ohio’s current education expenditures.