Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation between body mass index and in-hospital mortality in patients with ST-segment elevation myocardial infarction in Erbil city- Iraq

Background: Although High body mass index is associated with many cardiovascular diseases including coronary artery disease. Its effect on in-hospital death in patients with acute ST-segment elevation myocardial infarction (STEMI) is still a subject of controversy. Objective: To determine the correlation between body mass index (BMI) and in-hospital mortality in those patients. Patients and Methods: In this cross-sectional study, 180 adult patients with acute STEMI were enrolled and their BMI was measured. The participants were classified according to BMI into three groups as normal, overweight, and obese. A correlation between in-hospital mortality due to STEMI and BMI was evaluated. Results: Of the total participants, 62 (34.4%) were normally weighted, 61(33.8%) were over-weighted, and 57(31.6%) were obese. There was a significant difference (p= <0.001) between the groups concerning troponin I, hs-CRP, GRACE score, and the probability of in-hospital death. There were 16 (8.8%) in-hospital deaths during the study distributed as follows; 1(1.6%) in the normal-weight group, 5(8.1%) in the overweight group, and 10 (17.5%) in the obese group. In-hospital death showed a significant difference (p=0.04) between the study groups. In addition, a significant positive correlation(r=0.9) was found between BMI and in-hospital death. Conclusion: A robust positive correlation was detected between BMI and in-hospital mortality due to acute STEMI. When BMI increases, the number of deaths also increases exponentially. Keywords: Body mass index, ST-segment elevation myocardial infarction, mortality
Infrared phased‐array antenna

Phased addition of currents from multiple dipole antennas is demonstrated for the first time at a wavelength of 10.6 μm. Coplanar strip lines are used to interconnect the antennas, preserving the phase of the individual infrared‐frequency currents, which are summed together at a common bolometric load. Angular pattern measurements on two‐element dipole arrays show that the direction of maximum response depends on the phase difference between the currents contributed from each antenna, evaluated at the bolometer location. As more antennas are added together in phase, beam narrowing is observed. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 719–723, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23213
Ring‐slot‐coupled microstrip patch antenna for circular polarization

A new design of aperture‐coupled microstrip antennas for circular polarization (CP) is presented. The CP microstrip antenna is excited by using a series microstrip‐line‐feed configuration through the coupling of a ring slot in the ground. The effects of different ring‐slot sizes on CP performance are investigated. The experimental results show that, when the mean radius of the ring slot is increased, the CP operating frequency is significantly decreased and a wider CP bandwidth can also be obtained. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 44: 453–456, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20665
SPATIAL PATTERN OF HOUSEHOLD TRAVEL IN MINNA METROPOLIS, NIGERIA

Household travel is the major origin of traffic flow in the urban centres. Urban residents travel for various purposes; planning and managing urban travel requires that city planners and managers understand their flow pattern across the city space. This study therefore, was conducted to analyse the spatial pattern of household travel in Minna City, Nigeria. The data were collected through questionnaire administration on 1,303 respondents using Open Data Kit (ODK) package. To do this, the city was divided into four cluster zones, from which three different residential densities were selected in each of the zones. The study reveals that trip generation and attraction is significantly different among different residential densities in the city. The analysis of variance reveals there is significant difference in trip distances covered by different residential area in the city with a p-value of <0.001. The study therefore recommends that there is need to create spatial balance in the location of services needed and land use activities across the residential densities and also provide an effective and efficient public transportation system to the city residents especially along the main traffic corridors.
Penerapan Etika Bisnis Islam Dalam Transaksi Jual Beli pada Wirausaha Muslim

Rismayanti Lubis 171104080851 “Penerapan Etika Bisnis Islam Dalam Transaksi Jual Beli Pada Wirausaha Muslim (Studi Pada Wirausaha Muslim di Desa Laladon)” in business competition is the ethics have to business people because the way regulates all human activites including business by giving limitation whatever may done and who cannot be done. this research explains how the implementation of ethical business people in transaction in muslim entrepreneurs in the village Laladon behavior and now how muslim entrepreneurs in the village Laladon according to Islamic. Bisiness this research in a qualitative. Descriptive approachdata collection techniques used in this research in the from of interview, observation and documentation the result of the transaction on muslim entrepreneneurs in the village Laladon cash, however some entrepreneurs have digital transaction, provides payments and have made a run of the seller and buyer. The implementation of ethical business on muslim entrepreneurs in the village Laladon by applying the principle of unity the principle of justice, the principle of trustful, and responsibilities, principle of rectitude, products sold lawful, and did not do bisnis mal has ini practice in an entrepreneurship activity. Muslim entrepreneurial behavior in the village Laladon gave the best services with an attitude suave and customer with a vengeance. The application of islam in business ethics transaction on muslim entrepreneurs in the village Laladon has is served in accordance with islam Syariah.
Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking

The optimisation of energy generation in a photovoltaic (PV) system is necessary to let the PV cells operate at the maximum power point (MPP) corresponding to the maximum efficiency. Since the MPP varies, based on the irradiation and cell temperature, appropriate algorithms must be utilised to track the MPP. This is known as maximum power point tracking (MPPT). Different MPPT algorithms, each with its own specific performance, have been proposed in the literature. A so-called perturb and observe (P&O) method is considered here. This method is widely diffused because of its low-cost and ease of implementation. When atmospheric conditions are constant or change slowly, the P&O method oscillates close to MPP. However, when these change rapidly, this method fails to track MPP and gives rise to a waste of part of the available energy. An adaptive P&O method is proposed in this study that has faster dynamics and improved stability compared to the traditional P&O. The MPPT algorithm was set up and validated by means of numerical simulations and experimental tests, confirming the effectiveness of the method.
RLC equivalent RC delay model for global VLSI interconnect in current mode signalling

Current-mode signalling significantly increases the bandwidth of on-chip interconnects and reduces the overall propagation delay. The inductive effect of interconnects is more dominant in submicron technologies. This is because an RC interconnects model results in a significant error in delay estimation. Consequently to avoid such errors, a delay model for current-mode signalling is proposed for RLC interconnect line in the present work. RLC interconnect line is modelled using characteristic impedance of line. The inductive effects which are dominant at lower technology nodes are modelled as an equivalent resistance (). RLC line is modelled into a new equivalent ReffC interconnect line. The efficacy of the proposed model is validated for 8 and 10 mm interconnect lines. It is inferred that current mode provides better performance compared to the voltage-mode signalling. It is found that current-mode signal transporting technique provides higher speed improvements. Secondly, the damping factor of a lumped RLC circuit is shown to be a useful figure of merit. The analysis is carried out for 180 nm technology node.
The secret language of flowers: insights from an outdoor, arts-based intervention designed to connect primary school children to locally accessible nature

Abstract This paper uses ethnography to explore an outdoor, arts-based intervention run by Urban Wilderness, in partnership with an English primary school. Urban Wilderness are a not-for-profit organisation which aims to connect children and young people from disadvantaged areas to locally accessible nature. Over the course of three afternoon workshops, Urban Wilderness facilitators, a professional artist and teaching staff explored a local park with ten 9–10-year-old children and co-created a sculpture which was exhibited in the park as part of a family festival. Analysis of audio recordings and photographs taken during the workshops explored the ways in which a youth led approach and arts-based methods (i) fostered a sense of connection to the park and (ii) deepened the children’s knowledge about the plants they observed. It is argued that arts-based methods created a sense of presence in nature which fostered close attention to the surrounding environment and reflection upon the children’s relationship with it. The creation of art also facilitated the development of multi-levelled understandings of nature which encompassed identification, folk law and symbolism. As such analysis highlighted the relevance of outdoor learning and a Froebelian approach for older primary school children who are traditionally taught in classroom environments.
WIRELESS SENSOR NETWORKS RESEARCH COOPERATION BETWEEN UNIVERSITY OF WASHINGTON TACOMA AND BRAZILIAN UNIVERSITIES

DOI: 10.14684/intertech.13. 2014.29-33 This paper aims to describe the current technical and academic achievements resulting from the cooperation agreements between the Institute of Technology-University of Washington Tacoma (UWT) and Brazilian universities and research institutions. UWT hosted Brazilian undergraduate and graduate students in the academic year 2012-2013. The University of Washington, the Brazilian Science Without Borders Program and the Santander Bank funded these students. The Computer Engineering and Systems program at UWT provided the academic, cultural and research resources that make these achievements possible. In particular, a Wireless Sensors Networks (WSN) research group was created to study fundamental concepts and technical implementations. After returning to Brazil, the students continued the research collaboration with UWT in different topics of WSN notably in applications as agricultural irrigation, fire detection, emergency alerts, building occupancy optimization, energy harvesting and energy consumption management. Faculty in Brazilian universities are also part of these joint efforts and new funding was recently approved to extend this successful partnership. Index Terms - International Cooperation, Wireless Sensor Networks, Engineering Education.
An Improved Image Fusion Algorithm Based on IHS and Wavelet Transform

A new improved image fusion algorithm is proposed for multi-spectral image (MUL) and the high-resolution panchromatic image (PAN) based on intensity-hue-saturation (IHS) transform combined with wavelet transformation (WT). Firstly, the multi-spectral image is transformed into the IHS space for getting the intensity component (I). Then the high-resolution panchromatic image and I were matched with histogram. Secondly, the PAN and I were decomposed respectively by WT and fused to obtain the new I by the inverse WT. Finally, the fusion image was obtained by inverse IHS transform. four evaluate indicators are defined in this paper. By experiment research, the results show that this new method can effectively improve the fusion effect.
Industry 4.0-Oriented Deep Learning Models for Human Activity Recognition

According to the Industry 4.0 vision, humans in a smart factory, should be equipped with formidable and seamless communication capabilities and integrated into a cyber-physical system (CPS) that can be utilized to monitor and recognize human activity via artificial intelligence (e.g., deep learning). Recent advances in the accuracy of deep learning have contributed significantly to solving the human activity recognition issues, but it remains necessary to develop high performance deep learning models that provide greater accuracy. In this paper, three models: long short-term memory (LSTM), convolutional neural network (CNN), and combined CNN-LSTM are proposed for classification of human activities. These models are applied to a dataset collected from 36 persons engaged in 6 classes of activities – downstairs, jogging, sitting, standing, upstairs, and walking. The proposed models are trained using TensorFlow framework with a hyper-parameter tuning method to achieve high accuracy. Experimentally, confusion matrices and receiver operating characteristic (ROC) curves are used to assess the performance of the proposed models. The results illustrate that the hybrid model CNN-LSTM provides a better performance than either LSTM or CNN in the classification of human activities. The CNN-LSTM model provides the best performance, with a testing accuracy of 97.76%, followed by the LSTM with a testing accuracy of 96.61%, while the CNN shows the least testing accuracy of 94.51%. The testing loss rates for the LSTM, CNN, and CNN-LSTM are 0.236, 0.232, and 0.167, respectively, while the precision, recall, $F1$ -Measure, and the area under the ROC curves (AUCS) for the CNN-LSTM are 97.75%, 97.77%, 97.76%, and 100%, respectively.
Office spaces in São Paulo: post‐occupancy evaluation of a high technology building

The city of Sao Paulo, as one of the World’s mega‐cities, has considerably increased the quantity of commercial floor space recently, with around 160,000m2 added in this sector in 1998 and another 400,000m2 planned for 1999. For this post‐occupancy evaluation (POE), the building chosen was a recently designed office building, considered to be high‐tech which has a total of 34 floors including six underground levels, 1,033m2 of useful area per floor and circulation of more than 3,000 people per day. The unique situation of the different users, with their particular layouts, is an area that has still not been analyzed in POEs in Brazil. This paper will present the results of a pilot POE applied to four floors occupied by the headquarters of a manufacturer of domestic appliances, focusing on the methodological approach.
Vehicle Detector Signature Processing and Vehicle Reidentification for Travel Time Estimation

Accurate travel time estimation has been shown to be crucial information for traffic flow management systems. In this paper, we present the foundations for a travel time estimation methodology using vehicle signatures with special attention to signature pre-processing. This approach to signature pre-processing is based on principled multi-rate signal processing techniques. The matching of signatures from an upstream station to a downstream station is done through a maximum-a-posteriori (MAP) classifier. For each matched upstream-to-downstream pair of signatures, the feasibility of the corresponding travel time is used to filter out mismatches. Travel time is obtained by computing the median of the observations that fall within the modal bin of the travel time histogram. Best results are obtained when only the subset of vehicles with atypical signatures is considered. Although, any types of inductive or magneto-inductive signatures can be appropriately in the presented method, the best performances are expected when the sensors in use generate signatures with a higher degree of pair-wise dissimilarity. Both 3M micro-loops and the standard ILDs (Inductive Loop Detector) were used in this study. In the experimental tests (shorter station separation), the proposed signature pre-processing procedure, when applied to all types of vehicles in the traffic stream and without feasibility constraints, lead to 67.3% re-identification accuracy. When feasibility constraints are still absent and only atypical signatures were considered, the re-identification performance reached 97.4%. These results are very promising since in the absence of feasibility constraints, the performance the re-identification algorithm is independent of the separation between the stations.
Motion-compensated temporal filtering for denoising in video encoder

A DCT-domain temporal filtering in a video encoder is presented. It is proven that the multiplication of every DCT coefficient in an inter block with a proper weight is equivalent to motion-compensated temporal filtering in the spatial domain for the inter block. Thus, a temporal filtering in the DCT-domain is proposed, which determines properly the weight by using an effective noise estimation scheme.
Optimization of a Centrifugal Compressor Impeller for Robustness to Manufacturing Uncertainties

Compressor impellers for mass-market turbochargers are die-casted and machined with an aim to achieve high dimensional accuracy and acquire specific performance. However, manufacturing uncertainties result in dimensional deviations causing incompatible operational performance and assembly errors. Process capability limitations of the manufacturer can cause an increase in part rejections, resulting in high production cost. This paper presents a study on a centrifugal impeller with focus on the conceptual design phase to obtain a turbomachine that is robust to manufacturing uncertainties. The impeller has been parameterized and evaluated using a commercial computational fluid dynamics (CFDs) solver. Considering the computational cost of CFD, a surrogate model has been prepared for the impeller by response surface methodology (RSM) using space-filling Latin hypercube designs. A sensitivity analysis has been performed initially to identify the critical geometric parameters which influence the performance mainly. Sensitivity analysis is followed by the uncertainty propagation and quantification using the surrogate model based Monte Carlo simulation. Finally, a robust design optimization has been carried out using a stochastic optimization algorithm leading to a robust impeller design for which the performance is relatively insensitive to variability in geometry without reducing the sources of inherent variation, i.e., the manufacturing noise.
44.3: High‐Aperture Ratio AMOLED Pixel Design Employing VDD Line Elimination for Reducing OLED Current Density

A new high‐aperture ratio AMOLED pixel design scheme improving OLED life‐time is proposed. The VDD supply line in each pixel is eliminated and the scan line supplies VDD to a pixel, thus a high‐aperture ratio of emission area is considerably increased. The increased emission area achieves a lower current density through OLED, so that the OLED degradation would be suppressed and the life‐time of OLED may be improved without varying the OLED materials. We also designed a storage capacitor employing the bank layer dielectric between ITO and cathode rather than typically used VDD line.
Superconducting quantum interference device amplifiers at gigahertz frequencies

A series of five dc superconducting quantum interference devices (SQUIDs) have been operated as microstrip amplifiers at frequencies ranging from 2.2 to 7.4 GHz. In these devices, the signal is connected between the SQUID washer and coil, which acts as a microstrip resonator. The gain measured at 4.2 K ranged from 12±1 to 6±1 dB. The noise temperature of three devices at 4.2 K in the frequency range 2.2–4 GHz was between 1 and 2 K, and the saturation temperature was between 150 and 250 K. Applications of these devices include readout for axion detectors, and intermediate-frequency amplifiers for superconductor–insulator–superconductor and hot-electron bolometer mixers.
Optical generation of Gabor's expansion coefficients for rastered signals

Gabor's expansion of a signal into a discrete set of properly shifted and modulated versions of an elementary signal is introduced; several examples of elementary signals are considered. An arrangement is described which is able to generate Gabor's expansion coefficients of a one-dimensional signal by optical means. An important feature of the optical arrangement is that it accepts the one-dimensional signal on a raster format; hence, the two-dimensional nature of the optical processing system is fully utilized.
Evaluating the sensitive question methods; recommended Uludag Adjustment for the Crosswise Model

Abstract Sensitive questions are frequently asked in medical, psychological, and sociological research. In the social science literature, it is widely accepted that when respondents are asked such questions, social desirability bias affects survey research. Different methods in the literature aimed to reduce measurement errors such as social desirability bias and increase the reliability of participants' answers. These methods address the problem to increase the effectiveness of predictions by using indirect questioning techniques. The sensitive question methods evaluated in this study are randomized response technique, grouped answer method, unmatched-count technique, and crosswise model. These methods were evaluated with a comprehensive simulation study. The performances of the methods were evaluated according to the sample size and the sensitive issue prevalence in the hypothetical population. In the second part, in order to reduce the small sample size and low prevalence effect of the crosswise model, the Uludag correction of the crosswise model was proposed in the study. As a result, the crosswise model performs quite well compared to the other methods. In the use of the crosswise model, it is recommended to use the Uludag correction of the model proposed in this study in cases where low prevalence and small samples are studied.
Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS)

Research on two kinds of PFAS forms the basis of our scientific understanding about this group of chemicals. Perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) were manufactured for the longest time, are the most widespread in the environment, and are the most well-studied. Although these two compounds are no longer made in the United States, chemical manufacturers have replaced them with alternative PFAS, such as GenX.
Anisotropic Migration And Model Building For 4C Seismic Data: A Case Study From Alba

Assuming a scatter point located beneath a stack of layers with vertical transverse isotropy (VTI), we derive an accurate double-square-root (DSR) converted-wave (Cwave) diffraction equation, and incorporate the equation into the Kirchhoff prestack time migration. The DSR is controlled by five parameters: Pand S-wave stacking velocities VP2 and VS2, vertical velocity ratio g0, and anisotropic parameters heff and zeff, which define the anisotropic velocity model for migration. We demonstrate using real data how to build the anisotropic model from reflection moveout analysis, and evaluate the merit of prestack time migration. The DSR equation has a similar form to its isotropic counterpart, which allows an efficient implementation of prestack time migration. Applications to real data show that the C-wave imaging obtained by the new approach is more focused and coherent than the imaging by isotropic methods.