Miracle-dz/UniFAR-FTUs huggingface dataset:
NEUROMODEX - NEURAL NETWORK SYSTEM FOR MODULAR CONSTRUCTION DECISION MAKING

This paper presents an approach for decision making about construction modularization using neural networks. The model helps make a decision whether to use a conventional “stick‐built” method or to use some degree of modularization when building an industrial process plant. This decision is based on several decision attributes which are divided into following five categories: plant location, environmental and organizational, labor‐related, plant characteristics, and project risks. The neural network is trained using cases collected from several engineering and construction firms and owner firms of industrial process plants. In this paper, an overview of modular construction is provided and the reasons for using a neural network are also discussed. The architecture, representation, and training procedure for the selected neural network paradigms are described. The performance of the trained neural network system is compared with the recommendations provided by human experts. The results of statistical test.
"Prevention and Treatment of Acute Respiratory Distress Syndrome by COVID-19: Role of Vitamin D on Immunomodulation and Renin-Angiotensin- Aldosterone System Regulation"

The leading cause of complications or death from COVID-19 is due to the development of acute respiratory distress syndrome (ARDS). This syndrome is characterized by exacerbated inflammation, mainly at the pulmonary level, and an over-activation of the renin-angiotensin-aldosterone system (RAAS), usually culminating in death or permanent respiratory sequelae in the SARS-CoV-2 infected patients. In this sense, it has been proposed that vitamin D exerts numerous immunomodulatory effects by acting on various types of immune and epithelial cells, as well as being able to stimulate the protective arm (ACE2/Ang-(1-7)) and inhibit the harmful arm (ACE/Ang-II) of the RAAS. Therefore, some of the main mechanisms underlying these effects mediated by vitamin D and its receptors are discussed in the present review. The analysis of these mechanisms would positively influence the prevention and treatment of ARDS, thus preventing the progression of the disease and improving the prognosis of the patients.
Design of Formulation and Performance Research of Water-Borne Epoxy Modefied by 3-(trimethoxysilyl)propyl Methacrylate Anti-Corrosion Coatings

A waterborne anticorrosive coatings was prepared with homemade organic silicone 3-(trimethoxysilyl) propyl methacrylate modified epoxy acrylate emulsion as basic material, glass flake as anticorrosive filter and titanium dioxide as pigment and other additives. The anti-acid alkali salt, AC impedance, polarization curve tests were done to evaluate the coatings’ anticorrosion properties and to optimal its formula and process. The results showed that the best formula was: glass flake 35%, particle size 80 meshes, titanium dioxide as anticorrosive pigment 18% and the emulsion with epoxy at 45% content as base material. In this case, the coatings’ anti-acid, alkali and salt’s properties is good, the impedance values was up to eight orders of magnitude, the corrosion current was 9.59 × 10-8A and every indicator met the requirements of the JB/T224-2007 "Building with Steel Structure Anticorrosion Coatings". The water-epoxy anti-corrosion coating has safe environmental protection, zero VOC, excellent anti-corrosion properties and other indexes meet national standards.
Overexpression of microRNAs miR-25-3p, miR-185-5p and miR-132-3p in Late Onset Fetal Growth Restriction, Validation of Results and Study of the Biochemical Pathways Involved

In a prospective study, 48 fetuses were evaluated with Doppler ultrasound after 34 weeks and classified, according to the cerebroplacental ratio (CPR) and estimated fetal weight (EFW), into fetuses with normal growth and fetuses with late-onset fetal growth restriction (LO-FGR). Overexpression of miRNAs from neonatal cord blood belonging to LO-FGR fetuses, was validated by real-time PCR. In addition, functional characterization of overexpressed miRNAs was performed by analyzing overrepresented pathways, gene ontologies, and prioritization of synergistically working miRNAs. Three miRNAs: miR-25-3p, miR-185-5p and miR-132-3p, were significantly overexpressed in cord blood of LO-FGR fetuses. Pathway and gene ontology analysis revealed over-representation of certain molecular pathways associated with cardiac development and neuron death. In addition, prioritization of synergistically working miRNAs highlighted the importance of miR-185-5p and miR-25-3p in cholesterol efflux and starvation responses associated with LO-FGR phenotypes. Evaluation of miR-25-3p; miR-132-3p and miR-185-5p might serve as molecular biomarkers for the diagnosis and management of LO-FGR; improving the understanding of its influence on adult disease.
Origins of load losses in induction motors with cast aluminium rotors

The theory presented in the paper attempts to explain the origins of load losses in detail. It includes an analysis of the losses produced, at any given value of slip, by current flow through the rotor iron between two adjacent bars, owing to the imperfect insulation of the squirrel cage. The theory also includes a calculation of the eddy-current and hysteresis losses in the rotor teeth, caused by the high-frequency harmonic fluxes that penetrate them. It shows how eddy currents in the iron surface can reduce the value of the differential harmonic leakage of a bar, thus allowing more harmonic bar current to flow, and hence more I2R losses to be produced. It discusses how the effective skew differs from its geometrical value, depending upon the width of the rotor bars. The theoretical formulas developed are used to predict the torque/slip characteristics of three 7½hp squirrel-cage induction motors, and the results show good agreement with the experimental curves, thus verifying the validity of the theoretical argument. A simplified theory of interbar currents is finally given, and the effect of skew and slot combination on the magnitude of the load losses, under normal operating conditions, is discussed.
A Young Male with Typical Presentation of Amyotrophic Lateral Sclerosis (ALS)

Amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular condition characterized by proximal and distal muscle wasting, weakness, fasciculation. The etiology of the disease is unknown. The annual incidence rate is one to two cases per 100,000 persons. The disease is most commonly presents in middle age, mostly after the age of 50 and very uncommon before the age of 30 years and affects men more than women. Usually it present with limb muscle weakness, cramps, occasionally fasciculations and sometimes with dysarthria, dysphagia. Symptoms often begin focally in one part and spread gradually but relentlessly to become widespread. Over a period of months or years, patients with ALS develop severe, progressive muscular weakness and other symptoms caused by loss of function in both upper and lower motor neurons. Sphincter control, sensory function, intellectual abilities and skin integrity are preserved. Patients become completely disabled, often requiring ventilatory support and gastrostomy. Death usually occurs within five years of diagnosis and is attributed to respiratory failure or cachexia. Current management involves aggressive, individualized alleviation of symptoms and complications. We are reporting an 18 year old right handed male presented with typical features of ALS . The purpose for reporting was for its rarity before 40 years and that had a typical clinical features of young-adult ALS, and to compare them with features of the common adult-onset type. Bangladesh Journal of Neuroscience 2013; Vol. 29 (2) : 134-138
Hypoglycemia screening of asymptomatic newborns on the 2nd day of life.

BACKGROUND Neonatal hypoglycemia management in the first 48 hours is guided by the American Academy of Pediatrics (AAP) and Pediatric Endocrine Society (PES) recommendations. Our aim was to determine the incidence of hypoglycemia via point of care test (POCT) on the 2nd day of life (DOL) among healthy, asymptomatic neonates regardless of risk factors. METHODS In this prospective observational study, preprandial point of care glucose concentration was measured on the 2nd DOL in 150 healthy, asymptomatic neonates in the newborn nursery. We used 50 mg/dl (2.8 mmol/L) as the hypoglycemia threshold based on PES recommendations. RESULTS The incidence of hypoglycemia on the second DOL was 10% among asymptomatic neonates (no risk factors = 8% ; late preterm birth (LPT) + small for gestational age (SGA) = 16% ; large for gestational age (LGA) + infant of diabetic mother (IDM) = 6%). SGA + LPT neonates accounted for the majority of the hypoglycemic cases (53.3%) and exhibited a trend towards the lowest glucose concentration (p = 0.09). CONCLUSION The incidence of hypoglycemia on DOL 2 among asymptomatic neonates is high and of unclear significance in the absence of dedicated neurodevelopmental follow-up.
Constraints affecting through‐the‐earth electromagnetic signalling and location techniques

Over the past several years much effort has been expended in the development of through-the-earth communication links. The development of such links would improve the chances of survival following coal mine disasters by allowing miners to make their circumstances known to rescue teams. In order to implement effective electromagnetic communication links for signalling between mine workings and the surface, the electrical properties of the rock overlying mine workings and ambient background noise levels in several mining provinces are studied. The results of both CW and pulse field transmission tests show good agreement with theoretical considerations, and several techniques for locating either a buried finite line current source or a buried finite vertical-axis loop are demonstrated. The effect of loop size on the latter location criteria is considered, as well as the relative merits of a pulse or CW system.
Impact of Trapezoidal Demand and Deteriorating Preventing Technology in an Inventory Model in Interval Uncertainty under Backlogging Situation

The demand for a product is one of the important components of inventory management. In most cases, it is not constant; it may vary from time to time depending upon several factors which cannot be ignored. For any seasonal product, it is observed that at the beginning of the season, demand escalates over time, then it is stable and after that, it decreases. This type of demand is known as the trapezoidal type. Also, due to the uncertainty of customers’ behavior, inventory parameters are not always fixed. Combining these two concepts together, an inventory model is formulated for decaying items in an interval environment. Preservative technology is incorporated to preserve the product from deterioration. The corresponding mathematical formulation is derived in such a way that the profit of the inventory system is maximized. Consequently, the corresponding optimization problem is converted into an interval optimization problem. To solve the same, different variants of quantum-behaved particle swarm optimization (QPSO) techniques are employed to determine the duration of stock-in time and preservation technology cost. To illustrate and also to validate the model, three numerical examples are considered and solved. Then the computational results are compared. Thereafter, to study the impact of different parameters of the proposed model on the best found (optimal or very close to optimal) solution, sensitivity analysis are performed graphically.
AN APPROACH TO ANALYSIS OF ARCHIMATE APPLICATION ARCHITECTURE MODELS USING THE SOFTWARE COUPLING METRIC

Applications architecture is the baseline of any organizational activity, which main goal is to provide the executional environment for businessprocesses in order to deliver products or services to satisfy customer needs and generate revenue. Nowadays, large software engineering projectsalways begin with the architecture design phase, despite the waterfall or agile methodology is used by a software development team. Applicationsarchitecture design is the most important and, at the same time, error-prone stage of the whole software engineering project. It is well-known thatdesign shortcomings made on the design phase may increase drastically to testing and maintenance phases. Further costs to defects fixing may behundred times higher in the later project stages in compare to the design stage on which applications architecture is defined. Common system designsolutions, which were proven on practice and used in many projects, are known as architectural patterns. Software architecture patterns are consideredas building block for system implementation. The most popular and efficient way to share architectural patterns are graphical models that used as anyother blueprints of engineering solutions. Applications architecture models are built to represent system design, whereas, such models are alreadybased on certain patterns as the industry best practices. Hence, in this paper we consider a relevant problem of applications architecture modelsanalysis, which relevance is defined by those fact that designed blueprints of information systems and other software solutions should be carefullychecked for all presumable inefficiencies in order to avoid extra efforts and related costs for defects fixing in the later project stages. It is proposed touse ArchiMate enterprise architecture modeling language, since it can be used not only to represent applications architecture, but is connection tobusiness and technology layers. In order to evaluate applications architecture models, respective ArchiMate metamodel is considered and representedas labeled directed graph, and coupling software metric is selected for analysis. Sample calculations are demonstrated, obtained results are discussed,conclusion and future work directions are formulated.
Heart Rate and Distance Measurement of Two Multisport Activity Trackers and a Cellphone App in Different Sports: A Cross-Sectional Validation and Comparison Field Study

Options for monitoring sports have been continuously developed by using activity trackers to determine almost all vital and movement parameters. The aim of this study was to validate heart rate and distance measurements of two activity trackers (Polar Ignite; Garmin Forerunner 945) and a cellphone app (Polar Beat app using iPhone 7 as a hardware platform) in a cross-sectional field study. Thirty-six moderate endurance-trained adults (20 males/16 females) completed a test battery consisting of walking and running 3 km, a 1.6 km interval run (standard 400 m outdoor stadium), 3 km forest run (outdoor), 500/1000 m swim and 4.3/31.5 km cycling tests. Heart rate was recorded via a Polar H10 chest strap and distance was controlled via a map, 400 m stadium or 50 m pool. For all tests except swimming, strong correlation values of r > 0.90 were calculated with moderate exercise intensity and a mean absolute percentage error of 2.85%. During the interval run, several significant deviations (p < 0.049) were observed. The swim disciplines showed significant differences (p < 0.001), with the 500 m test having a mean absolute percentage error of 8.61%, and the 1000 m test of 55.32%. In most tests, significant deviations (p < 0.001) were calculated for distance measurement. However, a maximum mean absolute percentage error of 4.74% and small mean absolute error based on the total route lengths were calculated. This study showed that the accuracy of heart rate measurements could be rated as good, except for rapid changing heart rate during interval training and swimming. Distance measurement differences were rated as non-relevant in practice for use in sports.
Development of a comprehensive and flexible forward dynamic powertrain simulation tool for various hybrid electric vehicle architectures

This paper presents a comprehensive and flexible forward dynamic powertrain simulation tool, WARwick Powertrain Simulation Tool for ARchitectures 2 (WARPSTAR2), for modelling of conventional internal combustion engine, hybrid, and pure electric vehicles. WARPSTAR2 includes physical powertrain component models and their controllers, a hybrid supervisory controller, the driver, and the environment model. The physical powertrain component models are developed in Dymola, while the component controllers, the hybrid supervisory controllers, and the driver model are realized in MATLAB/Simulink. Thus the power of these two software tools is combined. A generalized fuzzy-logic-based supervisory controller is proposed for all hybrid electric vehicle (HEV) architectures so that all HEVs with different architectures share the same structure of supervisory controller. The generalized formation can be used for the supervisory controllers of different HEV architectures with varied parameter settings, thus facilitating the controller design process. The rule-based supervisory controller is also developed in WARPSTAR2. Simulation is carried out for different HEVs with these two supervisory controllers in the driving cycles. The results of engine and battery power usages with these two supervisory controllers are similar and the differences of predicted engine fuel consumptions between the two supervisory controllers are within 5 per cent.
Design of high-speed driving circuit for large area array full frame transfer CCD

With the rapid development of the aerospace camera and remote sensing application technologies, CCDs, as a photoelectric sensor, have evolved from line array toward area array CCDs especially large area array CCDs which can realize a broader coverage and avoid the technical difficulties from jointing multiple small area array CCDs in addition to improving resolution. Large area array full-frame transfer CCDs are introduced in the dissertation with focuses on the driving time sequence and working modes. Large area array CCDs, due to the great number of pixels, requires intensive driving power and a readout rate up to 20MHz, which cannot be met by the driving circuit of ordinary line array CCDs. So, time sequence signals generated by FPGA are amplified by a high power MOS driver to meet the driving demand of large area array CCDs. Moreover, traditional driving circuit is improved according to the driving signal waveform theory, thus the output quality of CCD analog signals is enhanced. Large area array CCD's output features high resistance and high DC level. In order to improve the load capacity and anti-interference capability of the output signals, operational amplifiers, selected based on the working voltage and signal bandwidth of the output signals, are applied as the buffer. The correctness of the design is verified through software simulations and circuit tests. According to the test results, the high-speed driving circuit can satisfy the application in large area array CCDs with a readout rate up to 20MHz and good quality of simulation signals.
An order-reduced volume-integral equation approach for analysis of NRD-guide and H-guide millimeter-wave circuits

An order-reduced volume-integral equation approach is proposed for modeling and analyzing of nonradiative dielectric (NRD)-guide and H-guide millimeter-wave circuits that involve arbitrarily shaped planar geometry and inhomogeneous dielectric. A half-sinusoidal vertical variation of fields is used so that the discretization of current for the volume-integral equation is made in the parallel plane. Combined basis functions of propagating and local modes are used in the Galerkin's method of moments on the basis of spectrum analysis of the NRD-guide and H-guide. A vertical integration in the space domain is carried out analytically and a first-order Green's function with m=1 is developed. The solution for the volume-integral equation in modeling NRD-guide and H-guide circuits is then reduced to a two-dimensional planar problem. This technique can be applied for calculating the characteristics of various waveguide components and multiport circuits such as resonant frequencies and S-parameters. The framework of this technique is demonstrated through its application to an NRD-guide open-end. In addition, an H-guide open-end, three types of resonators, and three-pole gap-coupled NRD-guide filters are modeled and analyzed. The results are in good agreement with the measurements and results obtained by other methods.
Critical Analyses of Work-related Musculoskeletal Disorders and Practical Solutions in Construction

This study reviews and synthesizes the findings in recent literature addressing work-related musculoskeletal injuries and disorders (MSDs) and practical solutions in the construction industry. Seven construction occupations (carpenters, masons, electricians, sheet metal workers, roofers, ironworkers, plumbers) are included to identify trade-related MSD risk factors. Effective intervention requirements are identified to meet the challenges that construction contractors face in the field. Typical intervention strategies include site-specific ergonomics programs, engineering controls, ergonomic hand tools selection/design, and worksite stretching program. The “good practices” presented in this paper could be a valuable approach to reducing common MSDs including sprains and strains, pain and discomfort at back, neck/shoulders, wrists/hands, and knees, improving worker morale, lowering workers’ compensation costs, while increasing productivity and profitability in the construction industry.
Activity of Free and Liposome-Encapsulated Essential Oil from Lavandula angustifolia against Persister-Derived Biofilm of Candida auris

The high virulence of Candida auris, a pathogen fungus considered as a global threat for public health, is due to its peculiar traits such as its intrinsic resistance to conventional antifungals. Its biofilm lifestyle certainly promotes the prolonged survival of C. auris after disinfection or antifungal treatments. In this work, for the first time, we detected persister cells in a biofilm of C. auris in a microwell plate model, following caspofungin treatment. Furthermore, we showed how persisters can progressively develop a new biofilm in situ, mimicking the re-colonization of a surface which may be responsible for recalcitrant infections. Plant-derived compounds, such as essential oils, may represent a valid alternative to combat fungal infections. Here, Lavandula angustifolia essential oil, as free or encapsulated in liposomes, was used to eradicate primary and persister-derived biofilms of C. auris, confirming the great potential of alternative compounds against emergent fungal pathogens. As in other Candida species, the action of essential oils against C. auris involves ROS production and affects the expression of some biofilm-related genes.