Miracle-dz/UniFAR-FTUs huggingface dataset:
Time-Varying Gaussian Encoder-Based Adaptive Sensor-Weighted Method for Turbofan Engine Remaining Useful Life Prediction

Remaining useful life (RUL) prediction, as an essential aspect of condition-based maintenance (CBM), has attracted substantial interest in industrial measurement. Recently, deep learning-based methods have achieved superior performance in turbofan engine RUL prediction. However, since the engine multisensor raw signals have noise and complex operation conditions, constructing representative features is challenging, which severely impacts the accuracy and generalization. Moreover, existing approaches tend to extract temporal dependencies and ignore identifying the contribution of different engine sensors. In this article, we focus on turbofan engine multisensor signals and propose a time-varying Gaussian encoder-based adaptive sensor-weighted (TGE-ASW) method to alleviate these problems. First, a time-varying Gaussian encoder (TGE) is built to enhance generalization and stabilize the training process of multisensor signals. Then, an adaptive sensor-weighted strategy is carried out to adaptive identify important sensors and weight signals conditioned on each sample. Finally, a convolutional neural network (CNN) is built to obtain high-level feature representation to predict the RUL. Experimental results on turbofan engine datasets demonstrate the superior performance over state-of-the-art methods and the effectiveness of processing and representing multisensor signals in industrial measurement.
Iterative Feedback Tuning of the Proportional-Integral-Differential Control of Flow Over a Circular Cylinder

In this paper, we numerically perform a feedback gain optimization of the proportional-integral-differential (PID) control of flows over a circular cylinder at Re = 60 and 100. We measure the transverse velocity at a centerline location in the wake as a sensing variable and provide blowing and suction at the upper and lower slots on the cylinder surface as an actuation based on the PID control. The PID control gains are optimized by an iterative feedback tuning method that is one of the typical model-free gain optimization methods. For the feedback tuning, the cost function $J$ is constructed such that the optimal control gains minimize the sensing velocity fluctuations. The control gains are iteratively updated using the gradient of the cost function until the control system satisfies a stopping criterion. For various sensing locations, the present control with optimal control gains successfully reduces the sensing velocity fluctuations and attenuates or annihilates vortex shedding in the wake, resulting in the reduction of the mean drag and lift fluctuations. It is also shown that the optimal actuation velocities obtained from different sensing locations have nearly the same phase in time. Finally, the occurrence of the integral windup and differential oscillations during PID controls is discussed.
ORGANIZATIONAL EFFECTIVENESS: A COMPARATIVE STUDY OF GOVERNMENT AND PRIVATE SECTOR EXECUTIVES.

Dr. Neeta Gupta and Neharshi Srivastava. 1. Asso. Prof.(DAVPG College Dehradun) . 2. Research Scholar (H.N.B Garhwal Central University, Srinagar). Manuscript Info Abstract . Manuscript History
Rossby Wave Initiation by Recurving Tropical Cyclones in the Western North Pacific

AbstractThe interaction of recurving tropical cyclones (TCs) with midlatitude Rossby waves during extratropical transition (ET) can significantly alter the midlatitude flow configuration. This study provides a climatological investigation of Rossby wave initiation (RWI) by transitioning TCs in the specific configuration of an initially zonal midlatitude waveguide and elucidates physical processes governing ab initio flow amplification during ET. Recurving TCs interacting with a zonally oriented waveguide in the western North Pacific (WNP) basin from 1979 to 2013 are categorized into cases initiating Rossby waves (TC-RWI) or not (TC-noRWI). Interactions with a zonally oriented waveguide occurred for 22.7% of the recurving TCs, and one-third of these resulted in TC-RWI. In the presence of a TC, the probability of RWI on a zonally oriented waveguide is 3 times larger than in situations without a TC. The occurrence of TC-RWI exhibits a seasonality and is relatively more common during boreal summer than in aut.
The important role of the DTPB in the development of Islamic P2P lending in Indonesia

Purpose − the purpose of this study is the determinants of factors influencing to the intention in Islamic Peer to Peer (P2P) financing platform. Methodology − Quantitateve approach with distributing questionnare accross Islamic P2P financing platforms consisting of ethis.co.id, ammana.id, alamisharia.id, danasyariah.id and qazwa.id employed. 121 usable sample is analsyed with using PLS-SEM and Smart PLS 3.2 opreated as analysis tools.Findings − The results show that normative influence affects positively and significantly the subjective norm. In terms of attitude control, only perceived uselfulness has insiginificant influence on attitude. Moreover, self-efficacy and facilitating condition has a positive and significant impact on perceived behaviour control. Attitude and perceived berhaviour control affect intention to participate. However, subjective norm has insignificant impact on intention to participate in P2P financing platform.Implications − The study suggests that islamic P2P should focus on relative advantage and perceived ease of use, perceived behavioral control in order to maintain their customers.Originality − Decomposed Theory of Planned Behavior model (DTPB) used in the study as the first study in Islamic P2P lending in Indonesia
Focusing the Cherenkov radiation using dielectric concentrator: simulations and comparison with theory

We proceed with investigation of specific dielectric target that effectively concentrates Cherenkov radiation from a charged particle bunch into a small vicinity of the focus point located at the symmetry axis of the target. The case of “non-ideal concentration” where the charge velocity differs from the designed one was considered theoretically in our previous paper. In particular, we have noted that geometrical rays form caustics in this case, and areas of radiation concentration are shifted with respect to the designed focus point. Since the direction of this shift relates to the sign of the charge velocity deviation, this effect can be used for diagnostics of bunch velocity. Here we perform numerical simulations in COMSOL using frequency domain solver and compare simulated results with theoretical ones. In particular, we show that simulated focus area is indeed shifted with change in charge velocity and the position of this area correlate very well with analytical predictions.
Application of wavelet shrinkage to acoustic imaging of buried asari clams using high-frequency ultrasound

Acoustic imaging using high-frequency ultrasound can be an effective survey method to clarify the distribution of asari clams, which live in a relatively shallow layer of sediment. However, the propagation of ultrasound dramatically changes depending on grain size, resulting in visibility deterioration of acoustic images. In this study, the effects of grain size on the visibility of acoustic images were investigated by experiments using glass beads. Then, the effects were discussed using theoretical attenuation models (Biot–Stoll model and multiple scattering model developed by Schwartz and Plona [J. Appl. Phys. 55, 3971 (1984)]) and time–frequency analysis based on the continuous wavelet transform (CWT). In addition, wavelet shrinkage was applied to improve the visibility of acoustic images. The results suggest that multiple scattering and velocity dispersion strongly affected the sharpness and contrast of acoustic images depending on grain size. In addition, it was found that wavelet shrinkage was effective in reducing speckle noise and increasing the visibility of acoustic images of buried asari clams.
Robust Numerical Electromagnetic Eigenfunction Expansion Algorithms

This thesis summarizes developments in rigorous, full-wave, numerical spectraldomain (integral plane wave eigenfunction expansion [PWE]) evaluation algorithms concerning time-harmonic electromagnetic (EM) fields radiated by generally-oriented and positioned sources within planar and tilted-planar layered media exhibiting general anisotropy, thickness, layer number, and loss characteristics. The work is motivated by the need to accurately and rapidly model EM fields radiated by subsurface geophysical exploration sensors probing layered, conductive media, where complex geophysical and man-made processes can lead to micro-laminate and micro-fractured geophysical formations exhibiting, at the lower (sub-2MHz) frequencies typically employed for deep EM wave penetration through conductive geophysical media, bulkscale anisotropic (i.e., directional) electrical conductivity characteristics. When the planar-layered approximation (layers of piecewise-constant material variation and transversely-infinite spatial extent) is locally, near the sensor region, considered valid, numerical spectral-domain algorithms are suitable due to their strong low-frequency stability characteristic, and ability to numerically predict time-harmonic EM field propagation in media with response characterized by arbitrarily lossy and (diagonalizable) dense, anisotropic tensors. If certain practical limitations are addressed, PWE can robustly model sensors with general position and orientation that probe generally numerous, anisotropic, lossy, and thick layers.
Impact of COVID-19 Diagnosis on Mortality in Patients with Ischemic Stroke Admitted during the 2020 Pandemic in Italy

Aims. The impact of the COVID-19 pandemic on the event rate of patients with ischemic stroke has been poorly investigated. We sought to evaluate the impact of the COVID-19 infection on mortality in patients with ischemic stroke admitted during the 2020 pandemic in Italy. Methods. We analyzed a nationwide, comprehensive, and universal administrative database of patients who were admitted for ischemic stroke during and after the national lockdown for the COVID-19 infection in 2020, and the equivalent periods over the previous 5 years in Italy. The 2020 observed hospitalization and mortality rates of stroke patients with and without COVID-19 infection were compared with the expected rates, in accordance with the trend of the previous 5 years. Results. During the period of observation, 300,890 hospitalizations for ischemic stroke occurred in Italy. In 2020, 41,302 stroke patients (1102 with concomitant COVID-19 infection) were admitted at 771 centers. The rate of admissions for ischemic stroke during the 2020 pandemic was markedly reduced compared with previous years (percentage change vs. 2015: −23.5). Based on the 5 year trend, the 2020 expected 30 day and 1 year mortality rates were 9.8% and 23.9%, respectively, and the observed incidence of death rates were 12.2% and 26.7%, respectively (both p < 0.001). After multiple corrections, higher rates of mortality were observed among patients admitted for stroke with a concomitant COVID-19 diagnosis. Conclusions. During the COVID-19 pandemic in 2020 in Italy, the rate of hospitalizations for ischemic stroke was dramatically reduced, although both the 30 day and 1 year mortality rates increased compared with the previous 5 year trend.
Discarding Variables in a Principal Component Analysis. I: Artificial Data

Often, results obtained from the use of principal component analysis are little changed if some of the variables involved are discarded beforehand. This paper examines some of the possible methods for deciding which variables to reject and these rejection methods are tested on artificial data containing variables known to be “redundant”. It is shown that several of the rejection methods, of differing types, each discard precisely those variables known to be redundant, for all but a few sets of data.
Socio-demographic Factors Associated with Job Burnout among Frontline Employees: A Cross-sectional Study of Classified Hotels in Nairobi City County, Kenya

In today’s highly competitive business environment, providing exceptional customer service is the primary goal of any hospitality organisation. Hotel frontline employees play a vital part in the service delivery process to achieve this. However, job burnout is a persistent problem in the hotel sector due to the demanding nature of the work (for example, working long hours and rotating shifts). Hotel frontline employees have to deal with the challenging nature of their job. As a result, they are prone to job burnout, lowering their productivity. Therefore, it is essential to establish possible job burnout interventions among this important group of hotel staff. Nairobi City County has a well-established hospitality sector home to most of Kenya’s classified hotels. As a beginning point in pursuit of job burnout interventions, this study sought to compare job burnout levels in different populations of frontline employees defined by socio-demographic characteristics in all (from 2-star to 5-star) classified hotels using a cross-sectional online survey approach to test the model on 309 frontline employees. Data were analysed using descriptive statistics and the one-way analysis of variance. The prevalence rate of job burnout among frontline employees was 30.7%. Female and unmarried frontline employees exhibited higher levels of job burnout. Frontline employees with lower education reported higher feelings of job burnout and its facets. Frontline employees working in highly rated hotels, with less work experience and tenure, were prone to job burnout and its aspects. Frontline employees working in the restaurant department were more susceptible to burnout and its elements. The current study recommends that owners, managers, and operators of classified hotels in Nairobi City County design interventions anchored on various socio-demographic characteristics to address job burnout among frontline employees.
In-situ neutron and synchrotron methods for the investigation of plastic deformation and annealing in metals

Abstract. Following a crash course in neutron and synchrotron diffraction standards, applications are demonstrated on selected metallic systems, comprising the atomic order in titanium aluminide intermetallics at thermal and mechanical processing. High pressure torsion processed specimens show heterogeneous structure and order. Upon heating, their nanostructure evolves revealing regimes of recovery, recrystallization and grain growth, which can be exploited for engineering designated microstructures with enhanced physical and mechanical properties. Advanced analysis of two-dimensional diffractograms by synchrotron radiation allows to distinguish microstructure transformations as well as deformation mechanisms in thermo-mechanical processing. The methods are applicable to a wide range of materials and processes allowing to speed up materials development by orders of magnitude.
Effect of Planting Space and Dose of Phosphate Fertilizer on the Development and Production of White Sorghum (Sorghum bicolor L. Moench) Samurai-2 Variety

White sorghum is utilized for food, beverage, fodder, and other industrial purposes. Spacing and fertilization are among problems for the development of sorghum plants. The aim of this study was to evaluate the interaction effect of planting space and phosphate fertilizer treatments on the development and production of white sorghum (Sorghum bicolor L. Moench) varity of Samurai-2, and to determine the best results from those treatments as well. This research was performed at the experimental field of Al-Zaitun Islamic Boarding School located in Mekarjaya Village, Subdistrict of Gantar, Indramayu Regency, West Java. A factorial randomized block design was employed with planting space treatment of PS30 (70 cm × 30 cm), PS40 (70 cm × 40 cm), and PS50 (70 cm × 50 cm) and phosphate fertilizer treatment of PF50 (50 kg/ha), PF100 (100 kg/ha), and PF150 (150 kg/ha). Response parameters consisted of plant heigh, number of leaves, leaf area index (LAI), stem diameter, root volume, plant growth rate, and crop yield (weight of 1000 grains and yield per plot). Results of this study showed no interaction in all treatments, and the PS30 with crop spacing of 70 cm x 30 cm resulted the best yield on weight per plot of 5.08 kg/plot equivalent to 8.5 ton/ha. Keywords : Crop yield, Growth rate, Leaf area index, Plant height, Stem diameter
Accurate image search using rank-based voting with inclusion relationship = 포함 관계와 순위 기반 투표를 활용한 정밀 이미지 검색

We present a rank-based voting technique utilizing inclusion relationship for high quality image search. Since images can have multiple regions of interest, we extract representative object regions using a state-of-the-art region proposal method tailored for our search problem. We then extract CNN features locally from those representative regions and identify inclusion relationship between those regions. To identify similar images given a query, we propose a novel similarity measure based on representative regions and their inclusion relationship. Our similarity measure gives a high score to a pair of images that contain similar object regions with similar spatial arrangement. To verify benefits of our method, we test our method in three standard benchmarks and compare it against the state-of-the-art image search methods using CNN features. Our experiment results demonstrate effectiveness and robustness of proposed algorithm, and also show the potential to further improve by cooperating with other stateof-the-art methods.
Fatal Places? Contextual Effects on Infant and Child Mortality in Early Twentieth Century England and Wales

Abstract This paper takes, as its starting point, Preston and Haines’ observation in Fatal Years that social class was the most important influence on infant and child mortality in England and Wales in the early twentieth century. A subsequent study suggested that this could in part be due to the spatial distribution of the different classes across different types of place, and that some of the mortality differences by social class might actually reflect the contextual effects of healthy and unhealthy places. Although this line of argument has received a considerable amount of attention in health geography literature, it has rarely been examined for a specific historic period, and then only within particular urban areas. In this paper, we apply multi-level models to a complete count individual-level dataset of the 1911 census of England and Wales, comparing influences on infant and child mortality at the level of the individual couple and for two spatial levels. We find that although most variation in infant and child mortality operates at the individual level, there is also important variation at the two spatial levels and part of the mortality differences between social classes is better explained by the areas in which people lived rather than by their social class. A consideration of independent variables at all three levels suggests that different spatial scales capture different sorts of influences on early age mortality.
Evaluation of Maternal Nutrition Effects in the Lifelong Performance of Male Beef Cattle Offspring

Simple Summary This study examined the effects of different prenatal nutrition treatments on pregnant cows and their calves. The cows were divided into three groups: NP (no supplementation), PP (supplementation during the last three months of pregnancy), and FP (supplementation throughout pregnancy). After calving, all cows and calves received the same environmental and nutritional conditions. Measurements such as body weight, body condition score, ribeye area, backfat thickness, and rump fat thickness were taken at various stages. The results showed some differences in cow weight, fat thickness, and body condition during pregnancy and postpartum. However, the effects of prenatal nutrition on the calves’ weaning weight and growth rates were minimal. Overall, the study concluded that prenatal nutrition had a limited impact on postnatal performance in beef cattle. Abstract This study aimed to evaluate the effects of different prenatal nutrition treatments on pregnant cows and their progeny. One hundred and twenty-six pregnant Nellore cows (455.3 ± 8.1 kg) were allocated in three different nutritional treatments during pregnancy: NP—control, PP—protein-energy supplementation in the last 3 months of pregnancy, and FP—the same supplementation throughout pregnancy. After parturition, all cows and calves received the same environmental and nutrition condition. The body condition score (BCS), body weight (BW), ribeye area (REA), backfat thickness (BFT), and rumpfat thickness (RFT) were collected on four occasions during pregnancy in the cows and from birth to finishing in calves. All data (cows and calves) were submitted to an analysis of variance (p < 0.05) using a linear model (MIXED procedure; SAS software). The BW, RFT, and BCS from the cows showed significant differences in the middle third of pregnancy and pre-delivery and RFT postpartum (p < 0.05). For the offspring, the weaning weight showed a tendency (NP lighter than others). In terms of gain, the PP group tended to be higher in RFT at calving (p = 0.06), in REA at finishing (p = 0.09), and in ADG in the same period (p = 0.09). The prenatal nutrition strategies had little or no effect on the beef cattle postnatal performance.
A Critical Analysis of Completed Abandoned Construction Projects in Ghana

The paper presents findings from a study of abandoned infrastructure projects and provides recommendations to lessen the adverse effects of infrastructural sustainability in Ghana. The study adopted a mixed-method approach, using face-to-face interviews, and a questionnaire survey. Responses were received from selected government officials, consultants, and end-users involved in selecting and approving government projects in the Metropolitan, Municipal, and District Assemblies (M.M.D.A.s) of the 16 regions of Ghana. Qualitative data gathered from an interview of 45 candidates were transcribed and coded with Atlas ti eight and line-by-line content analysis. Whilst, quantitative data from questionnaires completed by 320 respondents were analysed by the researcher with the aid of Mann- Whitney U-test in Statistical Package for Social Sciences (S.P.S.S.) to evaluate the magnitude of the impacts of completed project abandonment in Ghana. Findings indicate that completed project abandonment exists in Ghana, and its economic, social, and environmental implications are considerable on the long-term sustainability of infrastructure development and the country's overall economic growth. Infrastructural sustainability was found to be equally contingent on the initial stages of project preparation. The study draws readers’ attention to the critical role of project selection and approval criteria. The study identified critical impacts of project selection and approval process and the construction industry's long-term sustainability.
Annealing of amorphous yttrium iron garnet thin films in argon atmosphere

We report the recrystallization of amorphous Yttrium Iron Garnet (YIG) thin films by annealing in an argon atmosphere. Our results show that the amorphous film transforms into a fully epitaxial layer. Compared to annealing in oxygen, the argon atmosphere has no significantly deteriorating influence on the structural and magnetic properties of the YIG thin films. In ferromagnetic resonance experiments, low damping and narrow linewidth can be obtained. For a 65 nm thick layer, a damping constant of α = (1.61 ± 0.25) × 10–4 is found and the linewidth at 9.6 GHz is as small as 2.26 ± 0.10 Oe. These values are comparable to the best results for YIG thin films grown at high temperature pulsed laser deposition and almost as good as for thin YIG films deposited at room temperature and annealed in oxygen. Annealing in vacuum or growth in argon atmosphere, however, results in non-magnetic material.