Miracle-dz/UniFAR-FTUs huggingface dataset:
Depression Detection Based on Geometrical Features Extracted from SODP Shape of EEG Signals and Binary PSO

Late detection of depression is having detrimental consequences including suicide thus there is a serious need for an accurate computer-aided system for early diagnosis of depression. In this research, we suggested a novel strategy for the diagnosis of depression based on several geometric features derived from the Electroencephalography (EEG) signal shape of the second-order differential plot (SODP). First, various geometrical features of normal and depression EEG signals were derived from SODP including standard descriptors, a summation of the angles between consecutive vectors, a summation of distances to coordinate, a summation of the triangle area using three successive points, a summation of the shortest distance from each point relative to the 45-degree line, a summation of the centroids to centroid distance of successive triangles, central tendency measure and summation of successive vector lengths. Second, Binary Particle Swarm Optimization was utilized for the selection of suitable features. At last, the features were fed to support vector machine and k-nearest neighbor (KNN) classifiers for the identification of normal and depressed signals. The performance of the proposed framework was evaluated by the recorded bipolar EEG signals from 22 normal and 22 depressed subjects. The results provide an average classification accuracy of 98.79% with the KNN classifier using city-block distance in a ten-fold cross-validation strategy. The proposed system is accurate and can be used for the early diagnosis of depression. We showed that the proposed geometrical features are better than extracted features in the time, frequency, time-frequency domains as it helps in visual inspection and provide up to 17.56% improvement in classification accuracy in contrast to those features.
On Choosing Structure for a Machine Learning-based Reaction Force Predictor for Walking Robots

This paper focuses on the topic of contact reaction prediction for walking robots, namely on the analysis of performances on different structures of the machine-learning-based predictors. Predicting reaction forces is important due to the fact that it can allow us to retrieve a simplified model of the contact scenario, as was proposed in the literature preciously. This allows to turn the problem of contact model identification into a data collection and processing problem. In order to do it effectively, both a data compression (feature extraction) and regression strategies might be used. This research provides an analysis of both with respect to the discussed problem.
Extracellular scaffold design for ultra-soft microtissue engineering

Soft and ultra-soft extracellular scaffolds constitute a major fraction of most human internal organs, except for the skeletal system. Modelling these organs in vitro requires a comprehensive understanding of their native scaffolding materials and proper engineering approaches to manufacture tissue architectures with microscale precision. This review focuses on the properties of soft and ultra-soft scaffolds, including their interactions with cells, mechanical properties (e.g. viscoelasticity), and existing microtissue engineering techniques. It also summarises challenges presented by the conflict between the properties of the materials demanded by cell behaviours and the capacities of engineering techniques. It proposes that leveraging the engineering ability of soft and ultra-soft scaffolds will promote therapeutic advances and regenerative medicine.
The Pros and Cons of Rye Chromatin Introgression into Wheat Genome

Rye is one of the most commonly used sources of elite genes in wheat improvement programs. Due to the high collinearity of the genomes of both cereal species, it is possible to obtain interspecific chromosomal translocations and substitution lines. Rye chromatin is used to transfer numerous genes for resistance to biotic and abiotic stresses into the wheat genome. Introgression has also resulted in improved agronomic traits. However, despite the numerous advantages, the transfer of large fragments or whole chromosomes has been quite often accompanied by a decrease in end-use quality. This paper presents an overview of the benefits and drawbacks of using rye as a source of variability in wheat breeding.
The Prevalence of Staphylococcus aureus and Methicillin Resistant Staphylococcus aureus in Processed Food Samples in Riyadh, Saudi Arabia

Staphylococcus aureus mainly Methicillin Resistant Staphylococcus aureus(MRSA) is a life-threatening infection that occurring in food and caused a public health concern. This study designed to examine the prevalence of S. aureus and MRSA in different types of processed food. Food samples were screened for the recovered strains of S. aureus and MRSA, and they were examined for antimicrobial susceptibility and by molecular characterization of mecA and staphylococcal cassette chromosome mec(SCCmec). Detection of virulence factors like Panton-Valentine Leukocidin (PVL), Staphylococcus aureus protein A(spa) and Staphylococcal enterotoxins(SEs) by PCR using specific primers. Among the 150 collected processed food samples, 62.7% were contaminated by S. aureus bacteria, 56.4% of which were proved as MRSA. 17% of MRSA isolates were positive for mecA genes with the SCCmec type IVb and V (11.1% each) as the solely existing types of SCCmec. None of the MRSA isolates carried mecC or mecB genes. Most of MRSA isolates were multidrug resistance and 33.3% of MRSA-mecA positive isolates also carried vancomycin resistance genes (i.e., vanB). In addition, spa gene was found among 7.5% of MRSA isolates; none of which were positive for PVL gene. Further, there were variant presence of SEs among MRSA isolates and the highest presence was from type SEH (49.1%). Generally, our results confirmed that processed foods in Saudi Arabia (Riyadh) are potential vehicles for multidrug resistant S. aureus and MRSA transmission; which are serious public health risks, and underlined the need for good hygiene practices.
Regulatory Behavior Law and Prosumers

— This paper aims to present the methods that can be used by the Public Administration to encourage the use of renewable energy sources by the market and by civil society, in order to implement the guidelines of the 2030 Agenda. The specific objective is to reach energy self-consumers. electricity - prosumers - through public policies that enable behavioral change. To this end, behavioral economics has influenced the development of public policies capable of encouraging consumers and the market to use renewable energy sources. The scope of the research is the use of new technologies applied to the production of renewable energies, with an emphasis on photovoltaic energies and the position of prosumers in this context. The methodology used is bibliographic research, use of data from official sources, in addition to the analysis of current public policies in Brazil on the subject.
Requirement analysis for autograder system using use case model

At the beginning of software development, requirement analysis is needed to determine what features and components must be applied in the software to meet its purpose. Autograder have the purpose to grade student submission so the lecturer and student can know the grade immediately. To fulfil it, an analysis of requirements for autograder should be done so we can determine what features and components needed to be applied in autograder. This requirement also can be used to determine the future test plan. In this paper, we analyse the needed requirement for the autograder system and present it in the use case model.
Optimal Control Dynamic Relationships and Fiscal Policies in Indonesia’s Economy

: Purpose: This study aims to estimate optimal control in the Keynesian macroeconomic model for the Indonesian economy. Approach/Methodology/Design: Researchers use optimal control in retrieval in connection with macro-econometric models' problems. One way is used to influence macroeconomic variables, which include national income and expenditure. In this study, optimal control is used on the expenditure side, namely, to influence changes in the budget deficit. The data used is secondary data in the form of time series, in the period 1990-2018. Simulation is used to obtain the optimal value, with a simulation period starting from 2019-2023 - optimal control theory through fiscal policy on the budget deficit. Findings: The results showed that the optimal value of macroeconomic variables has a deviation from the target value for all macroeconomic variables, consumption, investment, exports, imports, GDP, and budget deficits. So, it can be seen that optimal growth, through macroeconomic variables that influence it, including GDP, consumption, investment, exports, and imports with the budget deficit as a control variable. In the scientific concept, optimal control theory is used as a tool to determine an optimal policy. Practical Implication: The research provides a solution to the budget deficit problem. The government needs to control the deficit so that optimal economic growth will be obtained. The largest deviation from the average during the simulation period occurred in GDP, followed by investment, exports, and fiscal policy deficits. Meanwhile, the lowest average deviation is found in imports. Original/Value: This research contributes and provides solutions to fiscal Policy. They are mostly related to the budget deficit.
Research on Supply Chain Integration and Optimization of Live E-commerce

In recent years, with the rise of short video platforms and e-commerce platforms, live streaming with goods has become a hot online sales model. However, the sales volume of live broadcast by big anchors is tens of thousands, which is actually supported by a complete supply chain system. By studying the mode and current situation of the supply chain of live broadcast e-commerce, and analyzing the existing problems, suggestions on the integration and optimization of the supply chain of live broadcast e-commerce are put forward, so as to provide references for relevant personnel in this industry.
Gordonia: versatile actinobacteria for biotechnology

The versatile genus Gordonia of the order Actinomycetales comprises numerous biotechnological interesting members. They often possess large genomes and plasmids which provide an arsenal of metabolic capabilities such as for the production of secondary metabolites, biosurfactants, bioactives, exopolysaccharides or carotenoids. Further, many can degrade a huge variety of complex organic molecules making them interesting for bioremediation. Gordonia rubripertincta CWB2 was found to harbour a novel styrene degradative pathway involving glutathione. This pathway is more similar to detoxification routes in higher organisms than to other bacterial routes for styrene metabolism. However, it seems to base on a mix of genes from styrene and isoprene pathways which created this novel pathway, likely by horizontal gene transfer. Now, we like to study this route in more detail and make use of it in order to produce phenylacetic acids such as ibuprofen.
Convective Overshooting in the Envelopes of A-type Stars Using the k-ω Model

Mixing between convective zones is quite uncertain in the envelopes of A-type stars. To study the mixing in A-type envelopes, we use a new convection model, the k-ω model, in the MESA stellar evolution code. Using the k-ω model, we find that the overshooting regions of the He ii and H/He i convection zones are integrated with each other. There is material exchange between the He ii and H/He i convection zones through overshooting, in agreement with recent numerical simulations.We obtain the overshooting distance of about 3.5H p below the base of the H/He i convection zone in a 2.3 M ⊙ star. There are two overshooting regions beyond the He ii convection zone in the same stellar model. We obtain that the overshooting distance of the upper one is about 3.9H p and about 2.0H p for the lower one. We find that the turbulent diffusion effect is particularly strong in the convective envelopes of A-type stars. In addition, we find that the typical size of the convective rolling cells is restricted by the actual thickness of the convective zones, because the thickness of the convection zones are usually smaller than or approximately equal to the local pressure scale height. Through comparisons with the results of the k-ω model, we find that a suitable value of f ov is about 0.45 for the H/He i convective overshooting region. It is about 0.27 for the upper He ii convective overshooting region and about 0.25 for the lower one.
Synthesis, characterization, and application of magnetic gold nanoclusters

Kadasala, Naveen Reddy, Ph.D., Purdue University, August 2016, Synthesis, Cleaning, Characterization And Application Of Magnetically Active Nanoparticles. Major Professor: Alexander Wei. Au–Fe3O4 nanocomposites are of great interest for technological reasons due to their combined optical and magnetic properties. Nanosized Fe3O4 particles are superparamagnetic and can also be coated with a layer of Au, which supports localized plasmon resonances for useful optical properties. The dual properties of Au–Fe3O4 nanoparticles have inspired chemists to design a variety of synthetic routes, some with good control of overall shape and size. However, most approaches require organic solvents, surfactants, or harsh chemical conditions. In this thesis we describe a simple and highly reproducible synthesis of magnetically active gold nanoclusters (MGNCs) with average particle sizes under 100 nm. This synthesis has two appealing features: (1) the synthesis is conducted entirely in water, with no amphiphilic surfactants that require subsequent removal, and (2) the chemical conditions used in MGNC synthesis are extremely mild, with minimum waste or by-products generated. The MGNCs can be used to support numerous applications in chemistry, biology, and materials science. In these thesis we describe two very different applications: (1) surface-modified chemical sensors based on surface-enhanced Raman scattering (SERS),
Performance of particle swarm optimization bin packing algorithm for dynamic virtual machine placement for the consolidation of cloud server

Infrastructure as a service offered by the cloud computing is one of the most important service. It allows physical machines to get virtualized by creating many instances of virtual machines. Mapping virtual machines on physical machine has become the major challenge in cloud data centres. The dynamic virtual machine placement methods are used to solve this issue with objectives like maximizing the resource utilization, minimizing the energy consumption and maximizing the scalability of data centres. In this paper a virtual machine placement-based bin packaging algorithm is proposed and analysed with four different fitness strategies to obtain the optimal solution. The unimodal (Sphere, Step) and multimodal (Graywang and Rastridge) benchmark functions are used with proposed algorithm for the analysis and obtain the quantitative measurements. The results show that optimizing the mass of particles using the best fitting strategy reduces the energy consumption, resource utilization and improved the scalability of data centres.
ADAPTATION AND TRANSCULTURAL VALIDATION OF THE BRAZILIAN VERSION OF THE BACK PAIN FUNCTIONAL SCALE

ABSTRACT Objective: The Back Pain Functional Scale (BPFS) was designed to evaluate the functional state of individuals with low back pain. The scale consists of twelve items, covering functional aspects of the daily life activities of these individuals. The final score is calculated by summing the responses to each item, the values of which range from 0 to 5, obtaining a total result of 0 to 60 points. Methods: The validation process was developed in accordance with the World Health Organization (WHO) protocol, covering translation, back translation, semantic equivalence, evaluation by specialists from previous stages, pre-test of the tool, and final version. Subsequently, the final version was applied in a sample of 90 individuals and the data obtained were subjected to descriptive statistical analysis, factorial analysis, evaluation of internal consistency, and correlation with other validated tools. Results: The tool was adapted to Brazilian Portuguese, making use of terms to approximate the language of everyday expressions. The final version presented results similar to those from the original version, as demonstrated by the factorial analysis, the internal consistency (Cronbach's alpha: 0.990), and the strong correlation with tools validated for the Portuguese language. Conclusion: The Brazilian version of BPFS proved to be easy to apply and understand, and presented high internal consistency and construct validity similar to that of the original instrument. Level of evidence 1B; Study of adaptation of a valid score.
Research on the Iron Content in Plant-based Beverages

The current study considers tackling iron deficiency and nutritional anaemia through consumption of functional iron-rich foods, which are produced from plant-based ingredients. The study proposes the approach of developing functional beverages recipes. It includes ingredients selection, formula calculation, drink sample evaluation and iron measurement. Manufactured drinks are aimed at vulnerable groups and cover certain amount of iron daily dosage. The approach may act as the way of producing safer food options to avoid immoderate iron intake and prevent chronic iron overload. As the result of the study, the iron content of the best-evaluated sample was measured, and it was estimated that produced Hibiscus-based beverage may be utilized as the tool to prevent deficiency and anaemia in specific groups, without creating the threat for non-targeted individuals.
Calibration of a simple and a complex model of global marine biogeochemistry

The assessment of the ocean biota's role in climate change is often carried out with global biogeochemical ocean models that contain many components and involve a high level of parametric uncertainty. Because many data that relate to tracers included in a model are only sparsely observed, assessment of model skill is often restricted to tracers that can be easily measured and assembled. Examination of the models' fit to climatologies of inorganic tracers, after the models have been spun up to steady state, is a common but computationally expensive procedure to assess model performance and reliability. Using new tools that have become available for global model assessment and calibration in steady state, this paper examines two different model types – a complex seven-component model (MOPS) and a very simple four-component model (RetroMOPS) – for their fit to dissolved quantities. Before comparing the models, a subset of their biogeochemical parameters has been optimised against annual-mean nutrients and oxygen. Both model types fit the observations almost equally well. The simple model contains only two nutrients: oxygen and dissolved organic phosphorus (DOP). Its misfit and large-scale tracer distributions are sensitive to the parameterisation of DOP production and decay. The spatio-temporal decoupling of nitrogen and oxygen, and processes involved in their uptake and release, renders oxygen and nitrate valuable tracers for model calibration. In addition, the non-conservative nature of these tracers (with respect to their upper boundary condition) introduces the global bias (fixed nitrogen and oxygen inventory) as a useful additional constraint on model parameters. Dissolved organic phosphorus at the surface behaves antagonistically to phosphate, and suggests that observations of this tracer – although difficult to measure – may be an important asset for model calibration.
Autologous Semitendinosus Tendon Mediated Stabilization of The Coracoclavicular Space Results in Union and Excellent Functional Outcomes in Neer’s Type II Distal Clavicle Fractures: A Preliminary Report

LEVEL OF EVIDENCE: 4 SUMMARY Background. The treatment of Neer’s type II distal clavicle fractures is challenging because of the high risk of non-union with non-operative management on one hand and complications associated with the operation on other. Methods. Autologous semitendinosus tendon mediated anatomical coracoclavicular (CC) ligament reconstruction was done in 9 Neer’s type II acute distal clavicle fractures. The functional and radiological outcomes were assessed after 12 months of operation. Results. There were 8 men and 1 woman in the patients assessed at 12 months of operation. At final evaluation of 12 months 7 Neer’s type IIA, and 2 IIB fractures were assessed. The mean age of the patients included in the study was 39 years. The mean operating time was 87 minutes. All except one patient achieved radiological union. All patients had excellent functional outcome scores. The mean Constant and Murley (CMS) score at 12 months of follow up was 90.55 ± 57.80. The CMS score for the case with non-union was 85 at 12 months. The mean CC distance before and after the operation was 19.56 ± 2.80 mm and 11.56 ± 6.7 mm. The difference in the mean CC distance between normal and operated side was less than 5 mm after 12 months of operation in all the cases. Conclusions. The application of autograft mediated anatomical acromioclavicular joint reconstruction technique to CC stabilization in Neer’s II distal clavicle fracture achieves union and excellent functional outcomes.
A Single Intravenous Infusion of Human Choriodecidual Mesenchymal Stem Cell Decreases Early Burn Mortality in a Rodent Model

Background:Systemic inflammatory responses (SIR) are the main cause of pulmonary dysfunction leading to mortality within hours of extensive burns. Based on previous studies showing that cell entrapment occurs in the lungs following the infusion of human choriodecidual mesenchymal stem cells (hcMSCs), we hypothesize that the intravenous infusion of hcMSCs, with an immunomodulatory potential, will decrease the risk of SIR induced pulmonary failure leading to mortality in burn patients. Methods:Forty adult male Sprague-Dawley rats were randomized into two groups. Group A (sham control, n = 10) received no injury or intervention; the remaining rats (n = 30) were subjected to burns covering 40 % of the total body surface area by immersion of the dorsum in 100 °C water for 15 s under general anesthesia. Injured rats were further randomized into different treatment groups: Group B (saline only control, n = 10), Group C (saline plus culture medium control, n = 10), and Group D (saline plus 2 × 106 hcMSCs, n = 10). Culture medium or hcMSCs were given in a single infusion via the tail vein immediately after burns. Mortality was evaluated on post-burn days 7 and 14. Results:The overall mortality among injured rats was 30 % (9/30). In the first week post-injury, four rats in Group C and three in Group B versus none in Group D died. In the second week, one rat in both Groups C and D died. Altogether, mortality among Group D rats was 10 %, significantly lower than that in groups B and C combined (40 %; p<0.001). Conclusions:We show that a single intravenous infusion of 2 × 106 hcMSCs decreased burn mortality in a severely burned animal model. However, clinical translation requires additional studies to exclude potential adverse effects and to determine the optimal dosage and timing of administration.