Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Intelligent Structures Using Finite Control Elements in a Hierarchic and Distributed Control System.

Abstract : Conclusions drawn from the theoretical optimization of inertial reaction devices. Three different optimization procedures yielded almost identical absorber designs providing confidence in the tuning process. The optimal passive components of the control actuator were found to be equal to those of the optimal absorber. This allows passive damping to be added without significant mass penalty. When using an inertial device to increase damping in several modes, it is desirable to tune the frequency of the device to the lowest mode and adjust the damping accordingly. Experimentally, an inertial reaction device was used effectively as both a passive vibration absorber and a control actuator, passively tuned as an absorber, verifying the results of the tuning analysis that stated that passive tuning compliments active control. This dual purpose device resulted in a mass savings, increased modal controllability, and reduced target mode disturbance transmission. Additional passive damping increases gain margin for feedback systems that are conditionally stable and allows a form of passive damping enhancement in the event of control system failure. These space realizable experiments were found to be important in determining performance limitations due to instrumentation instabilities, friction in relative motion actuators, and actuator saturation at low frequencies. Uniformity in the positive definite, dual feedback matrix allowed better performance before the onset of instrumentation/actuator instabilities because all actuators were able to exert maximum stable feedback.
Design of Nonlinear Uncertainty Controller for Grid-Tied Solar Photovoltaic
System Using Sliding Mode Control

: The proposed controller accompanies with different sliding surfaces. To understand maximum power point extraction as opposed to nonlinear uncertain-ties and unknown disturbance of a grid-connected photovoltaic system to various control inputs ( u d , u q ) is designed. To extract maximum power from a solar array and maintain unity power ﬂ ow in a grid by controlling the voltage across the dc-link capacitor ( V pvdc ) and reactive current ( i q ). A multiple input-output with multiple uncertainty constraints have considered designing proposed sliding mode controllers to validated their robustness performance. An innovative controller veri ﬁ es uncertain inputs, constant and changes in irradiances, and temperature of the photo-voltaic system. These controllers do not limit the parametric uncer-tainties and disturbances on the system, which shows the signi ﬁ cance of the developed designs. The performance characteristics have been compared to two sliding mode controllers and validated through numerical simulation for both nor-mal and robustness conditions.
Anterior Cruciate Ligament Reconstruction with Quadriceps Tendon Autograft: A Comprehensive Review

Traditionally, first-line graft options for ACL reconstruction have been Bone-Patellar Tendon-Bone (BPTB) and Hamstring Tendon (HT) autografts. However, over the past two decades a growing body of literature has demonstrated Quadriceps Tendon (QT) autografts are an excellent option in comparison to the BPTB and HT autografts. Biomechanical data has shown QT autografts offer excellent load to failure, and clinical outcome studies have shown a low rate of postoperative complications. This paper aims to provide a comprehensive literature review on the use of QT autograft in ACL reconstruction.
Contribution of obesity and cardiometabolic risk factors in patients with cardiovascular disease: A population based cohort study

Background The mechanisms linking adiposity to associated clinical conditions such as type 2 diabetes, cardiovascular disease, and related metabolic and inflammatory disturbances. are poorly understood.This study aimed to identify sex-specific direct and indirect effects of central and general adiposity on cardiovascular disease, mediated by cardiometabolic risk factors and how much is independent of these factors. Methods We analyzed data from the TLGS cohort study with 6280 participants aged ≥ 30 years, free of cardiovascular disease at baseline with a median follow-up of 13.9 years. The total effects were broken down into natural direct and indirect effects using a 2-stage regression model in the context of the survival model. We also calculated the proportion mediated by systolic blood pressure, total serum cholesterol, and fasting plasma glucose as mediators. Results There was no interaction between BMI and its mediators in the multiplicative scale (P > 0.05 for all). Blood pressure was the most important mediator for general (HRNIE: 1.11, 95% CI:1.17–1.24) and central obesity (HRNIE: 1.11, 95% CI:1.07–1.15) with proportion mediated of 60% and 36% respectively in the total population. The percentage mediated through all three metabolic risk factors together was 46% (95% confidence interval = 31%-75%) for overweight, 66% (45%-100%) for general obesity and 52% (39%-87%) for central obesity. Blood pressure was the most important mediator for overweight and central adiposity in male population with 29% and 36% proportion mediated respectively while in female population percentage mediated through all three metabolic risk factors together was 23% (95% confidence interval = 13%-50%) for overweight, 36% (21%-64%) for general obesity and 52% (39%-87%) for central obesity. Conclusions Metabolic mediators explain more than 60% of the adverse effects of high BMI on CVD in the male population. Also, managing these metabolic mediators in women does not effectively contribute to reducing CVD risks without decreasing weight.
Acquiring Data for the Development of a Finite Element Model of an Airgun Launch Environment

Abstract : The objective was to obtain both strain data (ue) and acceleration data (g) of a test article to aid in the development of a finite element model of an airgun launch environment. A 4-in airgun was utilized to obtain the required data from the test article. The author's responsibility for these series of airgun tests was to instrument the test article, configure and calibrate the on-board recorder, and retrieve and process the acquired data from each of the three airgun tests.
Camera Calibration and Fundamental Matrix Estimation with RANSAC

The main aim of this investigation is to study the camera and scene geometry. We will extimate the camera projection matrix also known as calibration matrix, which maps 3D world coordinates to image coordinates, as well as the fundamental matrix, which relates points in one scene to epipolar lines in another. The camera projection matrix and the fundamental matrix can each be estimated using point correspondences. To estimate the projection matrix (camera calibration), the input is corresponding 2d and 3d points. To estimate the fundamental matrix, the input is corresponding 2d points across the two images. We started out by estimating the projection matrix and the fundamental matrix for a scene with ground truth correspondences. Then we moved on to estimating the fundamental matrix using point correspondences from ORB, which is an alternative to SIFT. We used RANSAC to find the fundamental matrix with the most inliers, we filtered away spurious matches and achieved near perfect point to point matching.
Convertisseurs parallèles entrelacés : étude des pertes fer dans les transformateurs inter-cellules

La recherche de performances elevees (densite de puissance, efficacite, dynamique,…) a conduit ces dernieres annees a l'apparition de convertisseurs entrelaces utilisant des transformateurs inter-cellules. La minimisation de la taille et la reduction de pertes des transformateurs inter-cellules sont les objectifs principaux de cette etude. Les transformateurs inter-cellules deviennent encombrants a cause des fortes concentrations de flux existantes dans certaines branches du circuit magnetique. Dans les convertisseurs paralleles entrelaces, la sequence des phases d'alimentation des bobinages constitue un degre de liberte. En fonction de la topologie de transformateurs inter-cellules adoptee, deux procedes de permutation des phases d'alimentation sont proposes, visant la minimisation des flux magnetiques. Le gain obtenu en termes de pertes fer a ete evalue theoriquement et experimentalement. Les resultats obtenus valident qualitativement l'avantage de l'alimentation permutee devant l'alimentation classique. Enfin, la realisation pratique d'un prototype de convertisseur de puissance utilisant des transformateurs inter- ellules a ete abordee. Il s'agit de douze cellules permettant de realiser un bras d'onduleur a douze cellules entrelacees ou la mise en opposition de deux bras a six cellules chacun.
Microfluidic Power Generation

Abstract : This thesis includes the detailed mathematical calculations used to determine the feasibility of harnessing electrical energy from the blood flow through human capillaries. The designs are inspired by human physiology and well established electromagnetic energy harvesting techniques and the fabrication methods have been proposed for the various components of the device. The fabrication and the design of these components have also been extensively analyzed using calculations based on the governing principles of microfluidics, kinetics, and electromagnetics. The analysis has confirmed that this design can produce sufficient energy to power a MEMS device using non-standard materials and fabrication methods. The designs were based on a standard hydroelectric dam model, modified to account for the biological aspects. Nickel and gold were selected as the primary components of the electromagnetic portion of the device because of their electromagnetic properties and the ability to deposit and pattern them. Of the four portions of the device, the coil was fully fabricated, experiments were conducted for the fabrication of the stator and the microchannels and the proposed fabrication method was explained for the turbine. Three sets of the gold induction coils were fabricated, each with different thicknesses, but the same width and length. Since the resistance of the coil is determined by the resistivity of the material and the dimensions, the cross-sectional area of these coils determined the differences in resistance. As predicted, the average resistance increased as thickness decreased. However, the resistance was greater than calculated for the two thinner coil sets due to fabrication methods.
The Relationship Between Work and Family Conflict on Life Satisfaction and Quality of Life among Employees in the Health Sector

The development of the information technology era and the development of the economic sector has improved the living standards of society today which has led to the involvement of partners as the core of a family in making a living and providing facilities to children and family members, resulting in the demand to work overtime to accommodate existing needs. The need to play a role in the family and in the workplace to achieve satisfaction ensure a good quality of life increases which requires low conflict influence. Therefore, this study was conducted to examine the relationship between life satisfaction and quality of life to work and family conflict where a total of 100 respondents with families were selected to participate in this study. The Work Family Conflict Scale (WFCS), Satisfaction with Life Scale (SWLS), and the Quality-of-Life scale were used to see the influence of work family conflict on individual’s life satisfaction and quality of life. The data were analysed using Statistical Package for Social Sciences (SPSS) version 25.0. The results of the study found that there was a correlation between work family conflict and life satisfaction but not with quality of life. Further discussions on the findings are reported in the article.
SEEPAGE ANALYSIS OF EARTHEN DAMS IN SOUTH CAROLINA WITH ANIMAL BURROWS

The structural integrity of earthen dams in the natural habitat of wildlife is commonly affected by invasive animal burrowed into the embankment. The effects may be observed on the phreatic line, pore water pressures and seepage rate through the dam. This study investigates the effects of previously reported wildlife activities on two failed dams in the Midlands of South Carolina. Dam sites were visited to collect soil samples for geotechnical testing, measure the geometry, and make observations for animal presence. The dams are determined to have burrows by gophers and ant colonies from the inspection reports and site observations. To characterize the soils, geotechnical tests are conducted for grain size distribution, permeability, porosity, and liquid limit. The finite-element method is used to simulate the two-dimensional steady-state seepage at dams with isotropic and homogeneous soil assumption. A saturated/unsaturated soil model is used and Modified Kovacs and Mualem methods are utilized for the estimation of the volumetric water content function and hydraulic conductivity function, respectively. Pore water pressures, hydraulic gradients and seepage velocity are compared for intact and deteriorated structures to investigate the effects of animal activity. The results show that the animal burrows negatively impact the seepage behavior of the dams by affecting the pore water pressures, seepage rate, hydraulic gradients, and seepage velocities.
Prediction Analysis of Cancer Cells Using ML Classification Algorithms

Background: Breast Cancer is one of the most occurring cancers among all the diseases in medical science.About 1 in 8 women are suffering from breast cancer in their lifetime. In 2020, an estimated 276,480 newcases of invasive breast cancer are expected to be diagnosed in women along with 48,530 new cases ofnon-invasive breast cancer. Apart from women, men are also suffering from breast cancer, but the rate ofoccurrence is low in men.Aim: To classify the breast cancer cells from original mammographic images using processing steps ofGaussian smoothing, Threshold segmentation, Feature Extraction.Methodology: Breast cancer datasets are collected and preprocessed using attributes-like Menopause,Node-Capes, INV Nodes, Irradiate and Class. Three Machine Learning classifiers such as Bagging, NaiveBayes, and Naive Bayes Multinomial are applied for the classification analysis.Results: Bagging classifier gives efficiency in the range of 77-86% when we consider Menopause, NodeCapes and Irradiate attributes and Naive Bayes classifier gives efficiency in the range of 71-78% for INVNodes and Class attributes.Conclusion: It is observed that the bagging classifier gives best efficiency when we consider Menopause,Node-Capes and Irradiate attributes and Naive Bayes is best suits for INV-Nodes and Class attributes.
TORTIS: Retry-Free Software Transactional Memory for Real-Time Systems

Software transactional memory (STM) is a synchronization paradigm originally proposed for throughput-oriented computing to facilitate producing performant concurrent code that is free of synchronization bugs. With STM, programmers merely annotate code sections requiring synchronization; the underlying STM framework automatically resolves how synchronization is done. Today, the programming issues that motivated STM are becoming a concern in embedded computing, where ever more sophisticated systems are being produced that require highly parallel implementations. These implementations are often produced by engineers and control experts who may not be well versed in concurrency-related issues. In this context, a real-time STM framework would be useful in ensuring that the synchronization aspects of a system pass real-time certification. However, all prior STM approaches fundamentally rely on retries to resolve conflicts, and such retries can yield high worst-case synchronization costs compared to lock-based approaches. This paper presents a new STM class called Retry-Free Real-Time STM (R2STM), which is designed for worst-case real-time performance. The benefit of a retry-free approach for use in a real-time system is demonstrated by a schedulability study, in which it improved overall schedulability across all considered task systems by an average of 95.3% over a retry-based approach. This paper also presents TORTIS, the first R2STM implementation for real-time systems. Throughput-oriented benchmarks are presented to highlight the tradeoffs between throughput and schedulability for TORTIS.
An Econometric Analysis of the Peninsular Malaysia Beef Market

The beef industry is one of the most important industries for supplying animal protein after fish and chicken. Various studies have been conducted to improve the local contribution to the industry. But the local beef industry performance is slowing down resulting in an increasing amount of beef being imported from other countries. In this study, an econometric model has been developed, analysed and validated to satisfy the objectives of determining and analysing the important factors and their linkages relating to beef animal development, the supply of beef animals for slaughter, and the demand for beef. The equations are estimated individually by the respective ordinary or two stage least square methods, and the whole model is solved by using a microcomputer TSP Programme. The results of the study indicate that, for beef cattle, the previous number of females less than 3 years old and males more than 3 years old are two important animal components that determine the number of beef animals. For dairy cattle, the current and previous number of male and female dairy cattle more than 3 years old and the previous female dairy cattle less than 3 years old are the important components determining the dairy cattle number. And for the buffalo, the previous number of females more than 3 years old is the most important determinant for buffalo number. Beef prices, import of animals and the existence of Maju ternak have a positive effect on the beef animals number, while the slaughtering of animals and disease outbreak have a negative effect. The previous number of female beef cattle less than 3 years old is the most important determinant for cattle to be slaughter. For buffalo, both the current number of males and females more than 3 years old are the important determinants. The total population and the prices of beef are the important determinants for beef demand in Peninsular Malaysia. Most of the dependent variables in the equations are explained by the explainatory variables at more than a 95% level. The estimated coefficients of the explainatory variables conform to the expected prior signs, and most of them are statistically significant. The simulated values obtained closely follow the actual values. From this analysis, therefore, the econometric model formed is able to represent the Peninsular Malaysia beef market and can be used for policy analysis and other studies.
Behavioral Efficiency II: A Simple Laboratory Demonstration

Laboratory experiments reporting on shortfalls from allocative efficiency of allocation mechanisms depend on the induced-values methodology, which cannot be extended to the field. Harstad [2011] proposes to observe efficiency of allocation mechanisms without knowing motivations via behavior in appropriately designed aftermarkets. This paper demonstrates the approach in a highly simplified economy: allocation of a single unit of an abstract commodity. In the context studied, second-price auctions are observed to yield significantly greater behavioral inefficiencies than first-price auctions, both in terms of frequency of behaviorally inefficient outcomes, and in terms of the expected size of gains from aftermarket trade missed by the auction itself. The design is shown to be field-ready.
Mapping Transformational Lean Maturity Model for Discrete Part Industries

The aim of this research is to determine the current and desired level of lean maturity level in the local manufacturing industries of Pakistan. This can certainly assist the local industry of Pakistan to optimize their processes, shrink wastes and increase the productivity by using this method. The developed lean assessment model evaluates the lean manufacturing and measures the leanness of the industries in terms of lean maturity model. It comprises of three categories. The assessment model consists of twelve factors on which the lean manufacturing is assessed which include leadership, communication, trainings, inventory, quality, continuous improvement, production processes, lean tools, maintenance, cost, on-time-delivery and energy-efficiency. A series of stages involved in developing lean assessment model, named as modified LESAT, are subdivided into four main phases: detailed literature review, development of lean assessment, data analysis and AS-IS and TO-BE analysis with gap identification. Current maturity level of the industries of Pakistan comes out to be 3.00, that managers and all the staff have knowledge about lean. The future state comes out to 4.00 that lean will be implemented to a greater extent and industry is striving to achieve more via continuous improvement. The gaps identified in many industries are weak in terms of energy efficient, inventory, quality, training, production processes and lean tools. The Pakistani industries must work and improve in view of factors identified. This will aid in achieving more productivity, better performance and excellent quality to survive in the market.
Drivers of the live pet trade: the role of species traits, socioeconomic attributes and regulatory systems

The live pet trade is a major driver of both biodiversity loss and the introduction of invasive alien species. Building a comprehensive understanding of the pet trade would improve prediction of conservation and biosecurity threats, with the aim to prevent further negative impacts. We used South Australia’s native wildlife permit reporting system as a data-rich example of a live vertebrate pet market, spanning 590 species across 105 families of terrestrial vertebrates (mammals, reptiles, birds and amphibians). Using a piecewise Structural Equation Modelling (SEM) approach, we tested the influence of 11 a priori variables relating to pets (e.g., species traits), pet owners (e.g., socioeconomic metrics), and regulatory systems (e.g., permit requirements) on the quantities of bird and reptile captive keeping, breeding, trading, and escapes into the wild. Birds and reptiles with higher annual fecundity, as well as widely distributed reptiles with higher adult mass, were more likely to be kept in captivity and sold. Species with more stringent permit requirements were possessed, and escaped, in lower abundances. Pet keeping was weakly correlated with regions of lower population densities and higher unemployment rates, yet other socioeconomic variables were ultimately poor at explaining trade dynamics. More escapes occurred in regions which possessed larger quantities of pets, further emphasising the role of propagule pressure in the risk of pet escapes.Synthesis and applications: Species traits are a strong determinant of pet trade dynamics, yet permit systems also play a key role in de-incentivising undesirable trade practices. While our research highlights the potential of trade regulatory systems, we recommend that consistent permit category criteria are established to reduce trade in threatened species, as well as alien species of high biosecurity risk. Implementation of such systems is broadly needed across a greater diversity of wildlife markets and jurisdictions.