Miracle-dz/UniFAR-FTUs huggingface dataset:
Taking hold of hand trauma in KwaZulu-Natal, South Africa

Background Trauma in KwaZulu-Natal province in South Africa constitutes at least 17.8% of overall emergency cases, with hand trauma being common. Aim Based on these statistics, the authors of this study aimed to identify and describe the most common traumatic hand injuries managed in the province including current trends and intervention practices of occupational therapists to inform future intervention. Methods Using a mixed-method convergent parallel design, 41 therapists completed an online survey, and 12 therapists participated in two focus group discussions. Survey responses were analysed using descriptive statistics, and the audio-recorded and transcribed focus group discussions were analysed deductively using thematic analysis. Findings Flexor tendon injuries (88%), extensor tendon injuries (73%), fractures (83%) and combined hand injuries (73%) were the most common injuries noted. Sufficient theoretical knowledge (95%), clinical judgement (93%), available resources (88%), relevant practical experience (83%) and surgeon hand therapy protocols (88%) were identified as essential in managing traumatic hand injuries. Challenges included having limited resources, late referrals and poor communication hindering multidisciplinary practice. Conclusion Therapists face challenges in managing traumatic hand injuries, which inhibits optimal intervention planning. These factors may inevitably negatively influence outcomes achieved through occupational therapy for this group of patients.
A New Deep Learning Calibration Method Enhances Genome-Based Prediction of Continuous Crop Traits

Genomic selection (GS) has the potential to revolutionize predictive plant breeding. A reference population is phenotyped and genotyped to train a statistical model that is used to perform genome-enabled predictions of new individuals that were only genotyped. In this vein, deep neural networks, are a type of machine learning model and have been widely adopted for use in GS studies, as they are not parametric methods, making them more adept at capturing nonlinear patterns. However, the training process for deep neural networks is very challenging due to the numerous hyper-parameters that need to be tuned, especially when imperfect tuning can result in biased predictions. In this paper we propose a simple method for calibrating (adjusting) the prediction of continuous response variables resulting from deep learning applications. We evaluated the proposed deep learning calibration method (DL_M2) using four crop breeding data sets and its performance was compared with the standard deep learning method (DL_M1), as well as the standard genomic Best Linear Unbiased Predictor (GBLUP). While the GBLUP was the most accurate model overall, the proposed deep learning calibration method (DL_M2) helped increase the genome-enabled prediction performance in all data sets when compared with the traditional DL method (DL_M1). Taken together, we provide evidence for extending the use of the proposed calibration method to evaluate its potential and consistency for predicting performance in the context of GS applied to plant breeding.
Seebeck coefficient in SiC/Si heterojunction for self-powered thermal sensor

Development of new materials with high thermoelectric coefficient will expand the capability of thermoelectric sensors. In this work, we investigate the thermoelectric properties of silicon carbide (SiC) on silicon (Si) heterojunction towards self-powered temperature sensing applications. A SiC/Si heterojunction device was designed and fabricated to measure the Seebeck coefficient. The device showed a high Seebeck coefficient of -156.11 µV at 336 K, which progressively increased with increasing temperature and reached -374.78 µV at 383 K. These thermoelectric characteristics indicate superior result compared to previous polycrystalline and monocrystalline SiC thin films. The innovative heterojunction demonstrated in this work holds promises for developing highly sensitive self-powered thermal sensors.
Control of Single Phase Induction Motor Using Forced-Commutated Electronic Switches and Free-Wheeling Paths

Single phase induction motors show better performance and have less cost if they are controlled using electronic switches instead of mechanical switches. This paper suggests a semiconductor-based method to start the motor and to control the speed and the direction of rotation. This is achieved by feeding the two stator windings of a split-single-phase motor via two forced-commutated solid-state devices. Meanwhile, each winding is shunted by a free-wheeling path that is controlled as well by a forced-commutated solid-state device. Therefore high starting torques and low starting currents are realized. Speed control is easily achieved at higher motor efficiency, compared with the case of controlling the motor using forced-commutated electronic switches without free-wheeling paths. This paper computes detailed performance characteristics of the motor employing the suggested method. For this purpose, the motor is represented in the dqo reference frame. Then, the performance is described by a developed state s.
Power Equalization Techniques for Three-Phase VSI-Driven Single-Phase Ozone Generators

The purpose of this article is to present a method to equalize power imbalances in single-phase loads driven by three-phase voltage source inverters. The objective is to unbalance the line-to-line voltages in order to equalize the individual load power. The method is evaluated under non-linear loads, considering the dispersion of the high-voltage transformer electrical parameters values usually found in ozone generating systems. Two methods are considered for equalizing the load power. In the progressive method, the power equalization is performed by a microcontroller and works setting up the voltage applied over each load in response to power feedback from the other loads. In addition, Fuzzy Logic concepts are also applied, permitting a fast response, in spite of lower precision in the power balancing. Analytical, simulation and experimental results validate both methods.
Modeling and designing of microfluidic system using Poiseuille number

To design microfluidic device, it is essential to predict. flow properties in, micro channel. However, microfluidics includes important, but different effects comparing with conventional fluid mechanics. And because most microfluidic system have used rectangular channel which is not circular channel, Poiseuille number cannot be ignored. Our work explains the method of modeling and designing of microfluidic system considering Poiseuille number (Po number). Our modeling method can easily anticipate the characteristics of arbitrary shape channel flow at very low Reynolds number and can control mass flow rate accurately.
Formaldehyde evolution in US wildfire plumes during the Fire Influence on Regional to Global Environments and Air Quality experiment (FIREX-AQ)

Abstract. Formaldehyde (HCHO) is one of the most abundant non-methane volatile organic compounds (VOCs) emitted by fires. HCHO also undergoes chemical production and loss as a fire plume ages, and it can be an important oxidant precursor. In this study, we disentangle the processes controlling HCHO by examining its evolution in wildfire plumes sampled by the NASA DC-8 during the Fire Influence on Regional to Global Environments and Air Quality experiment (FIREX-AQ) field campaign. In 9 of the 12 analyzed plumes, dilution-normalized HCHO increases with physical age (range 1–6 h). The balance of HCHO loss (mainly via photolysis) and production (via OH-initiated VOC oxidation) seems to control the sign and magnitude of this trend. Plume-average OH concentrations, calculated from VOC decays, range from −0.5 (± 0.5) × 106 to 5.3 (± 0.7) × 106 cm−3. The production and loss rates of dilution-normalized HCHO seem to decrease with plume age. Plume-to-plume variability in dilution-normalized secondary HCHO production correlates with OH abundance rather than normalized OH reactivity, suggesting that OH is the main driver of fire-to-fire variability in HCHO secondary production. Analysis suggests an effective HCHO yield of 0.33 (± 0.05) per VOC molecule oxidized for the 12 wildfire plumes. This finding can help connect space-based HCHO observations to the oxidizing capacity of the atmosphere and to VOC emissions.
Optimization of a PML absorber's conductivity profile using FDTD

The conductivity profile of a perfectly matched layer (PML) absorber is optimized to increase the absorption performance. The key parameters describing a polynomial‐type conductivity profile for an anisotropic PML absorber are optimized by employing a steady‐state genetic algorithm (SSGA). A Gaussian line source is used for excitation in free space in order to minimize local error. The optimum polynomial parameters are reported for PML absorbers of various layers. Numerical results show that PML absorption can be improved by at least 7–15 dB, independently of the space‐domain and grid sizes. © 2003 Wiley Periodicals, Inc. Microwave Opt Technol Lett 37: 380–383, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10924
Structural Design of Electro-Magnetic Damper Using Electric Motive Force

In order to replace mechanical hydraulic or viscous friction dampers, a new electro-magnetic damper for active vibration control and vibration energy recovery is suggested in this paper. The suggested electro-magnetic (EM) damper has very simple structure like that of mechanical viscous damper, and not a big cost increase. The damping force is generated by the instantaneous magnetic flux change that links the damping coil when the permanent magnet mounted on the plunger of the rod vibrates. The elector magnetic structural design is studied to generate enough damping force in this paper. And the validation of EM damper is verified by FEA result.
Development and validation of a nomogram for predicting prostate cancer in patients with PSA ≤ 20 ng/mL at initial biopsy

Supplemental Digital Content is available in the text Abstract The aim of this study was to construct a nomogram for predicting prostate cancer (PCa) in patients with PSA ≤ 20 ng/mL at initial biopsy. The patients with PSA ≤ 20 ng/mL who underwent prostate biopsy were retrospectively included in this study. The nomogram was developed based on predictors for PCa, which were assessed by multivariable logistic regression analysis. The receiver operating characteristic curve, calibration plots and decision curve analysis (DCA) were used to evaluate the performance of the nomogram. This retrospective study included 691 patients, who were divided into training set (505 patients) and validation set (186 patients). The nomogram was developed based on the multivariable logistic regression model, including age, total PSA, free PSA, and prostate volume. It had a high area under the curve of 0.857, and was well verified in validation set. Calibration plots and DCA further validated its discrimination and potential clinical benefits. Applying the cut-off value of 15%, our nomogram would avoid 42.5% of unnecessary biopsies while miss only 4.4% of PCa patients. The nomogram provided high predictive accuracy for PCa in patients with PSA ≤ 20 ng/mL at initial biopsy, which could be used to avoid the unnecessary biopsies in clinical practice.
COMPARATIVE STUDY OF LIFE CYCLE COST OF MODERN LIGHT SOURCES USED IN DOMESTIC LIGHTING

The energy crisis problem is the biggest problem faced by the developing countries nowadays. Lighting constitutes a major segment of energy consumption in the building sector whether domestic or industrial. Artificial illumination typically accounts for 40 % of the total energy consumption of domestic buildings. This article discusses a method to optimise the existing lighting system by replacement of high-power consumption lamps with energy efficient lamps by estimating and comparing their life cycle costs. The paper presents a life cycle assessment of different lighting technologies like incandescent lamps, compact fluorescent lamps (CFL) and Light Emitting Diode (LED) luminaries for the general lighting of the office or homes. The life cycle assessments are carried out considering various factors of the luminaries keeping the luminous flux constant as to achieve the same light output. Burning hours of the lamp is considered as main factor to obtain the life cycle costs.
Identification of Nonlinear Manoeuvring Models for Marine Vessels Using Planar Motion Mechanism Tests

A nonlinear manoeuvring model in three degrees of freedom is presented. MARINTEK’s approach to the numerical determination of this manoeuvering model’s parameters is then shown. Finally the process of taking advanced experimental methods, and utilising MARINTEK’s numerical tools to generate an advanced model available for use in VeSim, MARINTEK’s in-house simulator tool, is shown as a demonstration that the model combined with numerical tools is of great use in making manoeuvring predictions.Copyright © 2015 by ASME
Structural relationship between TQM practices and learning organisation in Malaysia's manufacturing industry

This article investigates the linkage between the total quality management (TQM) practices and the learning organisation (LO) in the manufacturing sector from the context of a developing nation. The empirical data were gathered from 206 Malaysian manufacturing organisations that have been ISO 9000 certified through the use of structured questionnaire. Structural equation modelling analysis was used to test the research model. The findings indicate that four TQM practices (process management, human resource focus, leadership and information and analysis) are positively related to LO, whereas strategic planning and customer focus have no significant relationships with LO. Theoretically, it provides a clearer perspective as the TQM dimensions chosen are predominantly essential in attaining a high level of LO in a developing country such as Malaysia. Furthermore, it also fills the current literature gap and confirms the linkage between TQM and LO. Practically, the results of this study have proven that four TQM practices positively affects LO and hence management should direct their focus on these practices in order to better manage their firms to attain competitive advantage.
Microwave-circuit modeling of high lead-count plastic packages

A microwave-circuit model topology for elevated-paddle surface-mount packages is extended to packages with high-lead counts. Features such as irregular lead structures, long wirebonds, smaller pitches, and finite-lead thickness are all examined. The modeling technique is applied to a shrink small-outline package (SSOP-24) with the results compared to measurements of a 25 times size scale model. The circuit model is used to investigate the performance of a matched transition.
Noninvasive current measurement in multi-conductor cables

In this paper a novel approach to measure currents noninvasively in a multi-conductor cable with conductor level resolution is presented. The measurement is based on an evaluation of the magnetic field outside the cable. A sensor-device based on this approach can be installed without removing any part of the isolation, separating the conductors inside the cable or even turning of connected electrical consumers. It is therefore considered noninvasive. Based on this approach a sensor-device is developed and tested. A maximum measurement deviation of 4 percent is achieved.
Practicality of Wound Detection Using Smartphone Measure App

The record of the pressure sore with photo needs to be measurable. We compare the time consumption of wound assessment ruler and measure application of smartphone and the satisfaction of the users. The time needed is 20 and 35 seconds for the ruler and the application on average. But the satisfaction is better for application for its convenience, less infection, and the accuracy of measurements.
Expert system for the design of low-voltage distributors

Minimization of the conductor cost in secondary distribution systems is a challenging problem to electric utilities. Conductor cross-sections are selected according to loading conditions in various parts of the network. The main constraints usually imposed are economic rating of conductors and acceptable voltage profile along the entire length of the network. Considerable attention has been paid to this problem by distribution planners over the last 30 years. The present paper is concerned with the problem of optimum conductor sizing of the low voltage branched radial distributors (BRD) of the secondary distribution networks. An expert system has been devised to attain a better as well as quicker solution of the problem. It makes use of two computer programs written in PROLOG and FORTRAN computer languages. >
Characterization of an active clamp flyback topology for power factor correction applications

Flyback derived power convertor topologies have long been attractive because of their relative simplicity when compared with other topologies used in low power applications. Incorporation of active clamp circuitry provides the additional benefit of recycling transformer leakage energy while minimizing switch voltage stress. This paper presents the analysis, design, and experimental results of 500 W single stage and 600 W interleaved active clamp flybacks used for power factor correction. Several practical issues, including the application of charge control, the use of mixed power devices, and a solution to the hold-up time problem are discussed and experimentally verified. <<ETX>>
Market Reaction Analysis as a Result of Events Readings Complete Recordings in the Trial Court Honor Council Related PT Freeport Indonesia and the Chairman of the House of Representatives (Studies in Indonesia Stock Exchange)

Extraordinary phenomenon occurred in Indonesia related to the complaint of the Minister of Energy and Mineral Resources (ESDM), Sudirman Said, to the Court of Honor Council (MKD) DPR related profiteering behalf of the President and Vice-President of the Republic of Indonesia by the Chairman of the House of Representatives (DPR) about a contract extension PT Freeport Indonesia (PTFI). These events have an impact on JCI. However, there are companies in certain sectors that have a similar business with PTFI got the greatest impact on this case, the mining companies in sub-sectors of the metal and mineral mining.Through this study is unknown how much the market reaction to events MKD hearing on December 2, 2015 in the sub-sector of metal and mineral mining. Samples were shares of mining sub-sector of metals and minerals. Data analysis techniques in this study using event study. Based on the analysis, indicate that there are negative abnormal returns on the sub company of metal and mineral mining one day before the reading of the full recording in trial Court Honor Council related PT Freeport Indonesia and the Chairman of the House of Representatives held, the day is on December 1, 2015.
Simulation Method for ARM Fragment Killing Ground Targets

Aiming at the characteristic that the ground complex electronic equipments are apt to be killed by fragments, and for the purpose of solving the problem about the damage data shortage of the complex equipments BDAR study, on the basis of current study production, perfected is the fragments damage probility model of the ground target, and the geometrical model describing method, the explosion rule, the fragment simulation method and the target damage simulation method are put forward. By developing the damage simulation platform, the damage simulation method’s validity is affirmed
Covariate-augmented unit root tests with mixed-frequency data

Unit root tests typically suffer from low power in small samples, which results in not rejecting the null hypothesis as often as they should. This paper tries to tackle this issue by assessing whether it is possible to improve the power performance of covariate-augmented unit root tests, namely the ADF family of tests, by exploiting mixed-frequency data. We use the mixed data sampling (MIDAS) approach to deal with mixed-frequency data. The results from a Monte Carlo exercise indicate that mixed-frequency tests have better power performance than low-frequency tests. The gains from exploiting mixed-frequency data are greater for near-integrated variables. An empirical illustration using the US unemployment rate is presented.
Cell based design methodology for BDD SFQ logic circuits: a high speed test and feasibility for large scale circuit applications

We have proposed a cell-based design methodology for SFQ logic circuits based on a binary decision diagram (BDD) and implemented a BDD SFQ standard cell library using a Hypres Nb process. In this design methodology, any logic function can be implemented by connecting binary switches. Since the circuits are dual rail logic and do not need a global clock, difficulty in the timing design is reduced considerably. In our cell-based design approach, the cell library is composed of only five kinds of basic cells, whose circuit parameters are optimized so as to remove the inter-cell interaction. At the layout level, the cells have the identical size so that circuits can be implemented by simply embedding the basic cells. In this study we have performed an on-chip high-speed test of the BDD SFQ logic circuits. The test system consists of two four-bit data-driven self-timed (DDST) shift registers with a ladder type clock generator. We have confirmed 12 GHz operations of the BDD SFQ logic circuit. We have also examined circuit size dependence of the DC bias margin of large BDD SFQ circuits.
Transitions in sustainable product design research

By the early 1990s, sustainable product innovation (also known as ecodesign or design for environment) had gained sufficient critical mass in academic research to be identified as a distinct research area. In the past 15 years, stimulated by a growing environmental concern and awareness in the media, it has expanded considerably from a group of opportunistic eco-pathfinders trying to optimise products' recyclability into an acknowledged scientific research area regarding technology transfer and commercialisation. This paper proposes that this maturing process took place through a number of transitions; this is illustrated by discussing the characteristic aspects of each transition, which together provide a historic account of how academic research into sustainable product innovation has matured. In conclusion, several possible future transitions or extensions of the research area are discussed.
A Case Study on China’s Policies of Promoting Work Resumption During the COVID-19 Pandemic — Perspective of Policy Resilience

During the COVID-19 pandemic, China has achieved high recovery efficiency. One of the most important reasons behind this is the effective poli­cies of promoting work resumption. Why can such policies maintain steady performance despite the high level of environmental uncertainties? This ques­tion can be answered from the perspective of policy resilience. This study employed a policy evaluation model for analyzing quantitative data of 342 poli­cies of promoting work resumption. We evaluate the policies through the Policy Modeling Consistency (PMC-index) model and text mining methods. The results show that: first, the contents and elements of all policies have consistent characteristics, including the combination of multiple policy tools, the combi­nation of support for work resumption and pandem­ic control, the incentives to support effective policy implementation, and the reasonable match between macro and micro policies as well as short-term and long-term policies. Second, among the nine policies that are randomly selected from the sample, one is rated excellent and the other eight are good, indicat­ing that China’s policies of promoting work resump­tion have good resilience.