Miracle-dz/UniFAR-FTUs huggingface dataset:
Medical technology intervention in improving the quality of life among the type 2 diabetes mellitus patients

Background: Diabetes is a chronic disease characterized by high blood glucose with a disruption of fat and protein metabolism. Severe restrictions in diet, daily medications and other complications of diabetes can adversely affect an individual’s health related quality of life. The present study was conducted to assess the effect of educational intervention on quality of life (QOL) among the type 2 diabetes mellitus (T2DM) patients in Mysuru city.Methods: A quasi-experimental study was conducted from 1 November 2019 to 31 May 2020 among 138 diabetes patients at an urban health centre, Mysuru. Information regarding socio-demographic characteristics was collected using a pre-tested semi structured questionnaire. Assessment of QOL was done using the WHOQOL-BREF questionnaire. Data was analysed using SPSS version 23 (licensed to JSS AHER). Results: The overall mean score of pre-test QOL of the study participants was 81.72±8.57 and post-test mean score was 86.43±6.322. It was observed that 68 (49.27%) participants had good total QOL score and 70 (50.72%) had poor total QOL score. Among all the 3 groups, group A showed improvement in QOL when compared to other 2 groups with 52.2% in post-test.Conclusions: Improved QOL was seen in educational intervention using smartphone app when compared to other two groups (handouts and control group). QOL is one of the important factors among T2DM patients and it is important to take effective measures to improve it along with focusing on behavioural changes and health education.
Procedure to Use PZT Sensors in Vibration and Load Measurements

In situ correlation procedure is developed for electromechanically coupled PZT sensors to output the structural responses in standard engineering format, namely, displacement, strain, acceleration, and so forth. In order to implement this idea, we have used the standard sensing devices such as laser displacement sensor, strain gauge, and accelerometer. Aluminum beams and composite plate are employed in the experiments as specimens. The experimental results have shown that the structural reactions at critical locations can be monitored by a dynamically correlated PZT patch sensor, besides measuring the intensity of load in terms of acceleration. Furthermore, the influence of damage on sensor correlation has been evaluated. It is seen that the presence of damage has significantly modified the interpreted engineering parameters from the PZT patch and if they are appropriately correlated with respect to healthy structure, then the occurrence of damage related information will be ascertained. The developed sensor correlation concept therefore may be useful in load monitoring, health monitoring, and structural control applications.
Wind/PV Hybrid Energy System Matching Design Based on Backward Inference

This paper proposes a wind/PV hybrid energy system matching design method, which is based on backward inference. According to the method, the system can be matched based on the users’ need of energy combined with the local weather conditions and the total cost of the system devices is the smallest. Meanwhile, engineers and designers can work out the power from solar battery and wind turbine which meets the users’ need most economically. The paper uses the concept of “efficient time” which means the time it needs to generate the acquired energy when the generator works in its full power. Based on the users’ need, the power of solar battery and wind turbine can be calculated. What is more, combined with the local latitude and longitude, the best proportion for each kind of energy can be worked out. We take Changchun city of China as an example. It is showed in the result that the backward-inference method is more suitable to the users’ need and we evaluated it by the HOMER program [1], the result proves it is feasible. Also, the result of the method can be used as the input data of the HOMER program for designers and engineers to enhance the accuracy as well as to cut down the design difficulty. In the end, using the theory, our team has developed a system for the Wind/PV hybrid system matching design.
The MVAPICH Project: Evolution and Sustainability of an Open Source Production Quality MPI Library for HPC

The MVAPICH project, based at The Ohio State University, has produced open-source, high performance, and production-ready MPI libraries for over a decade. It presents a good example of how academic research projects can be sustainable while producing quality software that benefits academia and industry alike. In this paper, we present details of the MVAPICH project including its development cycle, support structure, policies, use in production clusters, and impact on the HPC community. I. OVERVIEW OF THE MVAPICH PROJECT The MVAPICH (for MPI-1) and MVAPICH2 (for MPI2 and MPI-3) open-source libraries [1] have been designed and developed during the last 12 years to take advantage of modern InfiniBand, 10-40GigE/ iWARP, and emerging RDMA over Converged Ethernet (RoCE) networking technology for HPC clusters. The OSU group has taken a lead role in designing these libraries with contributions from many other organizations and users worldwide. The work has been done through funding from the NSF, the DOE, and other companies.
Optimal composition of number and size of machines in a multi-stage make-to-order system with due dates

We develop an optimisation model to minimise costs for work-in-process (WIP), finished goods inventory (FGI), backorders, and capacity for a multi-stage production system applying a work-ahead window work release policy. Customers arrive to a make-to-order production system and have stochastic due dates. The parameters to optimise are the capacity invested at each stage, consisting of the number of machines and the processing rate (defined by a set of possible processing rates), as well as the work-ahead window. An optimality condition is provided showing when it is optimal to invest into a single machine at each stage if processing rates are continuous decision variables. The optimality of increasing capacity towards the customer end of the production line is proven under certain conditions. For a special case consisting of two stages with M/M/s queues with exponentially distributed customer required lead time, explicit expressions for WIP, FGI and backorders are developed. A set of numerical examples illustrates the influence of predefined processing rates on the optimal number and selection of machines. A simple solution heuristic for the problem with a predefined set of processing rates is proposed and its performance is shown in a numerical example. Additionally, the influence of uncertain input rates into the production system is discussed.
Mach-Zehnder modulators with lithium niobate ridge waveguides fabricated by proton-exchange wet etch and nickel indiffusion

Mach-Zehnder ridge waveguide modulators on c/sup +/-LiNbO/sub 3/ by proton-exchange wet etch and nickel indiffusion are fabricated for the first time. Modulators operating at 0.633 /spl mu/m and 1.31 /spl mu/m are both produced, and the half-wave voltages are measured to be 4 V and 22.5 V, respectively, for an electrode length of 6 mm. The extinction ratios are 14 dB and 13.2 db, respectively, and can be improved by forming the ridge structure only at the electrode interaction region instead. These results make the wet-etched LiNbO/sub 3/ optical devices promising to take over the dry-etched ones in the near future. >
Spatial and temporal heterogeneity of methane ebullition in lowland headwater streams and the impact on sampling design

Headwater streams are known sources of methane (CH4) to the atmosphere, but their contribution to global scale budgets remains poorly constrained. While efforts have been made to better understand diffusive fluxes of CH4 in streams, much less attention has been paid to ebullitive fluxes. We examine the temporal and spatial heterogeneity of CH4 ebullition from four lowland headwater streams in the temperate northeastern United States over a 2‐yr period. Ebullition was observed in all monitored streams with an overall mean rate of 1.00 ± 0.23 mmol CH4 m−2 d−1, ranging from 0.01 to 1.79 to mmol CH4 m−2 d−1 across streams. At biweekly timescales, rates of ebullition tended to increase with temperature. We observed a high degree of spatial heterogeneity in CH4 ebullition within and across streams. Yet, catchment land use was not a simple predictor of this heterogeneity, and instead patches scale variability weakly explained by water depth and sediment organic matter content and quality. Overall, our results support the prevalence of CH4 ebullition from streams and high levels of variability characteristic of this process. Our findings also highlight the need for robust temporal and spatial sampling of ebullition in lotic ecosystems to account for this high level of heterogeneity, where multiple sampling locations and times are necessary to accurately represent the mean rate of flux in a stream. The heterogeneity observed likely indicates a complex set of drivers affect CH4 ebullition from streams which must be considered when upscaling site measurements to larger spatial scales.
Previsión del ambiente térmico para el ganado lechero mediante redes neuronales artificiales

El presente estudio tuvo como objetivo la previsión del ambiente térmico para el ganado lechero mediante redes neuronales artificiales, de acordó con la temperatura y humedad diaria. En la investigación se utilizaron los valores diarios de esas variables, disponibles en el Instituto Nacional de Meteorología de Brasil. Los datos correspondieron a las series históricas registradas en estaciones convencionales con tiempo de operación superior a 30 años hasta 2020. A continuación, se seleccionaron los municipios Canarana, Matupá, Nova Xavantina y Santo Antônio de Leverger, localizados en Mato Grosso, Brasil. Con base en los dados climatológicos, se estimó el Índice de Temperatura y Humedad diario en el calendario Juliano. Posteriormente, se probaron 35 arquitecturas de redes neuronales artificiales con tipología perceptrón de múltiples camadas, siendo la variable de entrada el día Juliano y la de salida el Índice de Temperatura y Humedad. La idoneidad de las redes fue verificada por el coeficiente de determinación, el error absoluto medio, el error cuadrático medio, el porciento medio del error absoluto y la normalidad de los residuos. No hubo diferencias entre los valores estimados por las redes y los obtenidos a partir de las series históricas. La rede de mejor desempeño y eficiencia para cada municipio, también fue comprobada por el análisis gráfico de los residuos. Se concluyó que las redes neuronales con tipología perceptron de dos camadas ocultas fueron apropiadas en el pronóstico del ambiente térmico natural para el ganado lechero. The present study aimed to forecast the thermal environment for dairy cattle through artificial neural networks, according to the daily temperature and humidity. The research used the daily values of these variables, available in the National Institute of Meteorology of Brazil. The data corresponded to the historical series registered in conventional stations with an operating time of more than 30 years until 2020. Next, the municipalities Canarana, Matupá, Nova Xavantina and Santo Antônio de Leverger, located in Mato Grosso, Brazil, were selected. Based on the climatological data, the Temperature and Humidity Index was determined for each day of the year in the Julian calendar. Subsequently, 35 artificial neural network architectures with multiple layer perceptron typology were tested, the input variable being the Julian day and the output variable being the Temperature and Humidity Index. The suitability of the networks was verified by the coefficient of determination, the mean absolute error, the mean square error, the mean percentage of the absolute error and the normality of the residuals. There were no differences between the values estimated by the networks and those obtained from the historical series. The network with the best performance and efficiency for each municipality was also verified by the graphic analysis of the residuals. It was concluded that the neural networks with perceptron typology of two hidden layers were appropriate in the forecast of the natural thermal environment for dairy cattle.
Nonstationarity analysis in wind-rain-induced vibration of stay cables

Abstract Wind and wind-rain-induced cable vibration are usually nonstationary. Based on the field measured wind data from the Dongting Lake Bridge (DLB) in China, a wavelet-based method was developed to investigate the wind characteristics of wind-rain-induced cable vibration. By using the wavelet analysis, the time-varying mean wind speed is extracted and a nonstationary wind speed model is proposed. The turbulence intensities and probability distributions of measured wind data are calculated using the proposed nonstationary model and compared with those based on empirical mode decomposition (EMD) and design values. The correlation between wind and wind-rain-induced acceleration response are discussed. At the same time, the relativity of acceleration responses of cable and the wind speed are discussed via calculating root mean square (RMS) averaging and acceleration response peak factors.
Design aspects and optimisation of an axial field permanent magnet machine with an ironless stator

The advent of new high energy product permanent magnet materials has opened great opportunities for novel electrical machine topologies with advantageous features such as high efficiency and high power/weight ratio. Amongst others, axial field permanent magnet (AFPM) machines with ironless stators are increasingly being used in power generation applications. Because of the absence of the core losses, a generator with this type of design can operate at a substantially high efficiency. Besides, the high compactness and disc-shaped profile make this type of machine particularly suitable for compact integrated power generation systems. Due to construction problems, the generator application of this type of machine has been limited to quite a low power range. There is a need to investigate the performance capability of this type of AFPM machine in the upper medium power level. The focus of this thesis is on the design optimisation of the air-cooled AFPM generator with an ironless stator. A design approach that directly incorporates the finite element field solution in a multi-dimensional optimisation procedure is developed and applied to the design optimisation of a 300 kW (at unity power factor) AFPM generator. To enable an overall design optimisation of the machine, different design aspects, such as the cooling capacity, the mechanical strength and eddy loss, are also studied in this research. To enable the free movement of the rotor mesh with respect to the stator mesh, the air-gap element originally proposed by Razek et. al. is derived for Cartesian coordinate systems. For minimising the large computation overhead associated with this macro element, a number of existing time-saving schemes have been utilised together with the derived Cartesian air-gap element. The developed finite element time-step model is applied to calculating the steadystate performance of the AFPM machine. Since the flux distribution in an AFPM machine is three dimensional by nature, calculating the eddy current loss by merely using a simple analytical method may be subject to a significant error. To overcome this problem, the two dimensional finite element field modelling is introduced to perform accurate field analysis. To exploit the full advantages of the twodimensional finite element modelling, a multi-layer approach is proposed, which takes into ii Stellenbosch University http://scholar.sun.ac.za
Textural fabric defect detection using statistical texture transformations and gradient search

The inspection of the fabric defects is an important problem, which highly affects both the quality and the cost in the textile industry. Because of consistency and accuracy problems, the inspection of the fabric defect by human experts is neither feasible nor efficient. This requires development and use of automated inspection techniques. Thus, in this study, a texture analysis method, which uses sum and difference histograms (SDH) conjointly with co-occurrence matrices, is proposed to introduce an objective criterion for defect detection. To accomplish the detection task with high accuracy, several features were extracted from SDH and then, a defect search technique, which was developed in the context of this study, was applied. Moreover, several experiments and parameter analysis were performed to carry out detection at feasible computation time and memory storage. The developed method was applied to 28 kinds of raw woven fabric defects and 27 of them (i.e. 93.1%) were successfully recognized by the proposed detection system. The quantitative results and qualitative discussions show the effectiveness of the developed strategy.
Slow Fashion: An Invitation for Systems Change

Abstract In some circles, “fast” has become a proxy for a type of fashion that epitomizes ideas of unsustainability; yet high speed is not in itself a descriptor of unethical and/or environmentally damaging practices but a tool that is used to increase sales and deliver economic growth with attendant ecological and social effects. Questions about speed probe deeply into the economic systems, business models, and value sets that underpin the fashion sector today and which profoundly shape its sustainability potential. In this article, ideas and practices of the lexicographical opposite to “fast,” i.e. slow culture, are framed as an opportunity to begin to engage better with systems-level questions in the fashion sector in order to build deeper and longer-lasting change towards sustainability.
Invited paper. Power-factor correction in single-phase switching-mode power supplies—an overview

The importance of power-factor correction and the related line-harmonics reduction is increasing as the amount of line-fed electronic equipment grows and the requirements of regulatory agencies tighten. This paper presents a comprehensive overview of power-factor correction in single-phase off-line switching-mode power supplies, including the definition of power factor and its relation to total harmonic distortion; the IEC 555-2 requirements; many passive and active power-factor corrector topologies and control methods; modelling issues; and practical considerations.
480 GHz oscillator with an InP Gunn device

An InP Gunn device with a graded doping profile was evaluated for third-harmonic power extraction around 480 GHz. The oscillator used the configuration of a WR-6 waveguide cavity for the InP Gunn device, two back-to-back waveguide transitions, WR-3→1.5 and WR-1.7→3, to block fundamental and second-harmonic frequencies, and WR-6 waveguide spacers to optimise the location of the reactive termination at the fundamental frequency. With 350 µm-thick spacers, the oscillator yielded an RF output power of more than 85 µW at 479.01 GHz.
Examination of the stresses of the implants applied to the atrophic edentulous maxilla on the maxillary bone

Aim: In advanced atrophy of the posterior maxilla, applied zygoma implants increase the success of the surgical procedure by reducing morbidity and procedure time. In our study, using tomographic records, a model with posterior atrophy was obtained in a computer environment, and zygomatic and dental implants in different numbers and localizations were applied to this model. The aim of our study was to choose the most accurate surgical planning according to the stresses arising from the applied forces. Methodology: In our study, one zygoma implant on the right and left in Group 1, two zygoma implants in Group 2, one zygoma implant in Group 3 and one dental implant in the first premolar tooth area, one zygoma implant in Group 4 and one dental implant in the lateral tooth area and one zygoma implant in Group 5 and one dental implant in the lateral and a first premolar tooth area were applied. 150 N were applied vertically to the prosthetic superstructure from the lateral tooth, 1st premolar tooth, 1st molar tooth and 2nd molar tooth. As a result of the applied forces, the maximum stress values ​​in the maxilla molar region were examined by finite element stress analysis. Results: In our study, it was observed that Group 1 had the highest stress value, followed by Group 3. Stress values in Groups 2, 4 and 5 were low and they were measured close to each other. Conclusion: As a result of our study, it was seen that zygomatic and dental implants applied in addition to the zygomatic implant reduce stress and the localization of dental implants affect the stress values. How to cite this article: Gülsün B, Çetindağ A. Examination of the stresses of the implants applied to the atrophic edentulous maxilla on the maxillary bone. Int Dent Res 2021;11(Suppl.1):210-5. https://doi.org/10.5577/intdentres.2021. vol11.suppl1. 30 Linguistic Revision: The English in this manuscript has been checked by at least two professional editors, both native speakers of English.
Single Line Display Menu

Many electronic consumer products use a single line display which is capable of presenting a limited number of characters at a time. Although many design guidelines have been proposed, they are applicable only to the menus on ordinary CRT displays. This study examined the effects of four different variables: menu structure, user experience, navigation aid, and number of target items on designing the menu on a single line display. Four dependent measures, speed, accuracy, efficiency, and user preference of a target search task, were collected. The results showed that the 82 structure turned out to be an optimal menu structure for single-line display menus. The navigation aid improved the search performance of the inexperienced. Interestingly, multiple target search tasks recorded a better performance than single target search tasks. Based on the results, design implications were discussed.
Investigation of septum pellucidum and its variations with magnetic resonance imaging

Background/Aim: The septum pellucidum (SP) is the thin layer formed by the two laminas that form the medial wall of the lateral ventricle. When the laminas do not fuse, a cavity called cavum septum pellucidum (CSP) or Cavum Vergae (CV) forms. CSP is a developmental anomaly with unclear pathological significance and is common in people with neuropsychiatric diseases, especially schizophrenia, as well as post-traumatic stress disorder, Tourette's disease, and patients who suffer from recurrent and severe head trauma. However, few studies in the literature examine the CSP morphology among healthy individuals. Therefore, we aimed to evaluate the morphology and variations of septum pellucidum in healthy individuals. Methods: In this retrospective cohort study, the septum pellucidum was morphologically evaluated in 509 patients who underwent brain Magnetic Resonance Imaging (MRI) at Sakarya University Faculty of Medicine, Sakarya Training and Research Hospital. We classified the anatomical variations of the septum pellucidum as CSP, CV, CVI and evaluated their dimensions. Results: CSP was detected in 11.98% of the cases, and CV, in 1.38%. While 55.74% of individuals with CSP were male, 44.26 % were female. The mean CSP length and height were 7.71 (2.95) mm ( P= 0.103), and 2.80 (1.12) mm ( P= 0.649), respectively, and the mean length and height of the SP were 30.98 (7.36) mm ( P= 0.001), and 11.89 (3.32) mm ( P= 0.042), respectively. Conclusion: Knowledge of CSP, one of the septum pellucidum variations, is of great importance in the differential diagnosis of midline cystic mass lesions. Its volumetric changes may be related to the development of psychiatric disorders in childhood and adulthood.