Miracle-dz/UniFAR-FTUs huggingface dataset:
Workforce Design And Employee Workload Using The Full-Time Equivalent Method At PT XZY

One of the factors that affect employee performance is workload. If employees are given too much work, problems will arise. For example, some representatives have too high responsibilities ( overloaded ), while other workers have small responsibilities ( underloaded ). This kind of problem also occurs at PT. XZY, so it is essential to research the status of responsibility, which can then be used to design the Number of employees. The workload of each station is calculated using the Full Time Equivalent (FTE) method, which converts workload hours into the Number of people needed to complete a particular task. From the results of the review, it was found that there were deviations in responsibility at five workstations where three stations had overloaded workloads or values between 1.28 found at the wedding, cutting, and packing stations. A further two stations have standard work with values 1-1.28 found at co-gas filling stations and packaging and vacuum. The findings show that 18 employees are the ideal workforce. Changing the composition of the Number of workers according to the calculation of the optimal Number of workers can improve employee performance. The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 250 words. The abstract should state the work's purpose, approach, results, and conclusions. The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using the third person instead of the first person.
Prevalence of Burnout Syndrome among Working Physicians in Family Health Centres and Units in Port Said Governorate

Background: The classic symptoms of the syndrome of burnout as described by Maslach et al. are emotional exhaustion, depersonalization, and inefficacy. Prolonged exposure to stress is usually the main cause of emotional exhaustion and it manifests through the loss of enthusiasm for work, feeling helpless, trapped, and defeated. Depersonalization occurs when physicians treat patients indifferently, objectify them, and develop a negative attitude toward their colleagues and profession. Inefficiency, or the lack of a sense of personal achievement, is characterized by the individual’s withdrawal from responsibilities and detachment from the job. Aim: To assess burnout prevalence among physicians of primary health care centers and units in Port Said. Subjects and Methods: A cross-sectional study was conducted with simple random sampling of physicians of primary care centers and units. Burnout was measured using the Maslach Burnout Inventory (MBI), a validated 22-item questionnaire considered the gold standard tool for measuring burnout. Results: In the current study on 155 physicians, the prevalence of burnout was 65.8% among the studied sample with 80%, 65.8%, and 80% of the subjects displayed high Emotional Exhaustion, Depersonalization, and low Personal Accomplishment, respectively. Female gender, urban setting of the practice, being married, unsatisfactory salary, sleeping hours 4-8 hours, and working in night shifts were all factors that significantly contributed to physicians’ burnout. Conclusion: In the current study, a high prevalence of burnout of 65.8% was found among the physicians in PHC centers and units. Gender, setting of the practice, marital status, salary, sleeping hours, and working in night shifts were all factors that significantly contributing to physicians’ burnout.
Hiperparemetreleri Ayarlanmış Makine Öğrenmesi Yöntemleri Kullanılarak Ağdaki Saldırıların Tespiti

Bilişim teknolojilerinde yaşanan hızlı gelişmeler her geçen gün bilgisayar ve internet kullanan kişisayısını artırmaktadır. Teknolojide yaşanan yeni gelişmelerle birlikte internet kullanıcıları, bilgisayar veyaağ yapılarında güvenlik açığı olmasından dolayı çeşitli güvenlik tehditleri ile karşı karşıya gelmektedir. Bazı kötü niyetli internet kullanıcılarının veya bilgisayar korsanlarının yaptıkları saldırı denemelerisonucunda ağ üzerinde bulunan sistemlere izinsiz girişlerin tespit edildiği gözlemlenmektedir. Maruzkalınan izinsiz girişlerin engellenmesi için internet kullanıcıları Saldırı Tespit Sistemleri, antivirüs ve trojantespit etme ve engelleme programları kullanmaktadırlar. Bu amaçla son yıllarda, saldırıların tespit edilmesiiçin makine öğrenmesi algoritmalarının kullanımı bir hayli artmıştır. Bu çalışmada ağdaki trafiğin saldırıolup olmadığının tespiti için ikili sınıflandırma yapılmış olup saldırı olarak sınıflandırılan trafik, saldırıtürlerine göre sınıflandırılmıştır. Bu çalışmada, Saldırı Tespit Sistemleri’nde sıkça kullanılan verisetlerinden biri olan Kaggle platformundan alınan NSL- KDD veri seti kullanılmıştır. Veri seti üzerinetopluluk öğrenme algoritmalarından RandomForest, DecisionTree, ExtremeGradientBoosting(XgBoosting), GradientBoosting, KNN ve Bagging uygulanmış ve analizi yapılmıştır. Çalışmada YapaySinir Ağları algoritmaları ile hiperparametre optimizasyonu gerçekleştirilerek multi-class sınıflandırma dadenenmiştir. Yüksek doğruluk elde edilmesine karşın klasik makine öğrenmesi metotlarından daha düşüksonuçlar elde edilmiştir. Makine öğrenmesi algoritmalarıyla elde edilen başarılı sonuçlar sayesinde SaldırıTespit Sistemleri üzerinde iyileştirmeler ve düzenlemelere gidilebilir.
A preliminary look at the acquisition of aspect in Mandarin Chinese in Optimality Theory

In this paper we present an optimality-theoretic model of multiple stages in the acquisition of inflectional categories in three languages: French, Catalan, and Chinese. We begin by reviewing our earlier work on the development of Tense and Agreement in French and Catalan, and then discuss some recent explorations of the development of Aspect in Mandarin Chinese. The model of acquisition we are pursuing, cast in terms of Optimality Theory (Prince & Smolensky 1993) and using partial constraint rankings evolving over the course of development, has provided interesting results for the Romance languages, and here we report on our initial attempts to extend the model to Mandarin Chinese. From French and Catalan, we have evidence that children systematically use default forms at an early stage, something which we hypothesize is true of all languages. Claims to the contrary have been made in the literature (Guasti 1994, Rhee and Wexler 1995, Torrens 1995), in particular, tying the presence of rich inflectional morphology to a lack of defaults in child language. To the best of our knowledge the question has not been investigated with respect to Mandarin Chinese—a language which encodes Aspect instead of Tense or Agreement. We will see that in French, Tense marking appears before Agreement marking, and that in Catalan, this order is reversed. In Mandarin, the inchoative le and progressive ne appear before perfective le. We will outline an OT model of acquisition which is uniquely well-suited to explain the variation both within and across languages.
Relating quantum mechanics with hydrodynamic turbulence

In this letter we attempt to trace back the origin of quantum uncertainty. We show that the Schrödinger equation can be mapped into the inviscid Favre-Reynolds turbulence equations of classical compressible fluids, albeit in zero temperature. Under this mapping the probability density function becomes the Reynolds time mean density of the fluid, the real and the imaginary parts of the momentum become the mean and turbulent root-mean-square velocities, respectively, where the latter obeys the first Fick law of diffusion and saturates the lower bound of the uncertainty principle. The mean pressure is proportional to the divergence of the turbulent mass flux and is the source for stochasticity. The roles of the pressure gradient force and the Reynolds stress tensor convergence, under this mapping, are illustrated in two well-known systems, namely, the 1s orbital hydrogen atom and the 1D dynamic Gaussian wavepacket. Finally, we analyze within an independent part of the letter, a conjecture according to which this pressure results from vacuum fluctuations at the zero-point energy, mediated by random collisions of the particle with virtual photons. This suggests that the typical turbulent eddy is of the size of the Compton wavelength corresponding to a Reynolds averaging time scale which is twice the Zitterbewegung period. Moreover, according to this interpretation the quantized characteristics of the particle result from interactions with virtual photons.
STELLAR: A LARGE SATELLITE STEREO DATASET FOR DIGITAL SURFACE MODEL GENERATION

Abstract. Stellar is a large, satellite stereo dataset. It contains rectified stereo pairs of the terrain captured by the satellite image sensors and corresponding true disparity maps and semantic segmentation. Unlike stereo vision in autonomous driving and mobile imaging, a satellite stereo pair is not captured simultaneously. Thus, the same object in a satellite stereo pair is more likely to have a varied visual appearance. Stellar provides flexible access to such stereo pairs to train methods to be robust to such appearance variation. We use publicly available data sources, and invented several techniques to perform data registration, rectification, and semantic segmentation on the data to build Stellar. In our preliminary experiment, we fine-tuned two deep-learning stereo methods on Stellar. The result demonstrates that most of the time, these methods generate denser and more accurate disparity maps for satellite stereo by fine-tuning on Stellar, compared to without fine-tuning on satellite stereo datasets, or fine-tuning on previous, smaller satellite stereo datasets. Stellar is available to download at https://github.com/guo-research-group/Stellar.
A convergent modified HS-DY hybrid conjugate gradient method for unconstrained optimization problems

Abstract Conjugate gradient algorithm (method) is a very simple and powerful technique for solving large scale unconstrained optimization problems. In this paper a new modified hybrid conjugate gradient method, based on the work of Liu and Du [17] and Dong, Jiao and Chen [8], is proposed. We show that the proposed algorithm satisfies the descent condition and its global convergence is also established under the weak Wolfe-Powell line search conditions. The proposed algorithm is tested on a number of benchmark problems and the numerical results show that the proposed algorithm is very competitive.
The effects of television advertising on materialism and life satisfaction: A study with Algerian university students

Previous research in the unintended effects of television advertising has been conducted largely in Western countries with little research being conducted in other setting. The results suggest that The development of people’s satisfaction with life seems to contradict the growth in materialistic consumption promoted by advertising messages. This study examined the effects of television advertising on materialistic tendencies and life satisfaction in a non-Western setting. In a first step, a conceptual model based on existing hypotheses was developed, and in a second step, this model was tested using a sample of 131 Algerian students. Usingregression analysis and structural equation modeling, the findings show that advertising exposure is positively related to materialism and negatively related to life satisfaction. The results suggest that the effects of advertising on both materialism and life satisfaction could be moderated by the extent to which advertising is perceived to be materialistic. Materialism, in turn, contributes significantly to dissatisfaction with life.
Dual Minkowski Loss for Face Verification of Convolutional Network

Despite face recognition and verification have achieved great success in recent years, these achievements are experimental results on fixed data sets. Implementing these outstanding technologies in the field of undeveloped data sets presents serious challenges. We adopt three state-of-the-art pre-trained models on an entire new dataset University Test System Database (UTSD), however the results are far from satisfactory. Therefore, two methods are adopted to solve this problem. The first way is data augmentation including horizontal flipping, cropping and RGB channels transform, which can solve the imbalance of label pairs. The second way is the combination of Manhattan Distance and Euclidean Distance, we call it Dual Minkowski Loss (DML). Through the implementation of photo augmentation and innovative method on UTSD, the accuracy of face verification has been significantly improved, achieving the best 99.3%.
Turbulent structures in a statistically three-dimensional boundary layer

We investigate the behaviour of large-scale coherent structures in a spanwise-heterogeneous turbulent boundary layer, using particle image velocimetry on multiple orthogonal planes. The statistical three-dimensionality is imposed by a herringbone riblet surface, although the key results presented here will be common to many cases of wall turbulence with embedded secondary flows in the form of mean streamwise vortices. Instantaneous velocity fields in the logarithmic layer reveal elongated low-momentum streaks located over the upwash-flow region, where their spanwise spacing is forced by the $2\unicode[STIX]{x1D6FF}$ periodicity of the herringbone pattern. These streaks largely resemble the turbulence structures that occur naturally (and randomly located) in spanwise-homogeneous smooth-/rough-wall boundary layers, although here they are directly formed by the roughness pattern. In the far outer region, the large spanwise spacing permits the streaks to aggressively meander. The mean secondary flows are the time-averaged artefact of the unsteady and spanwise asymmetric large-scale roll modes that accompany these meandering streaks. Interestingly, this meandering, or instability, gives rise to a pronounced streamwise periodicity (i.e. an alternating coherent pattern) in the spatial statistics, at wavelengths of approximately 4.5 $\unicode[STIX]{x1D6FF}$ . Overall, the observed behaviours largely resemble the streak-instability model that has been proposed for the buffer region, only here at a much larger scale and at a forced spanwise spacing. This observation further confirms recent observations that such features may occur at an entire hierarchy of scales throughout the turbulent boundary layer.
MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment

We present Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2), a gridded precipitation P dataset spanning 1979–2017. MSWEP V2 is unique in several aspects: i) full global coverage (all land and oceans); ii) high spatial (0.1°) and temporal (3 hourly) resolution; iii) optimal merging of P estimates based on gauges [WorldClim, Global Historical Climatology Network-Daily (GHCN-D), Global Summary of the Day (GSOD), Global Precipitation Climatology Centre (GPCC), and others], satellites [Climate Prediction Center morphing technique (CMORPH), Gridded Satellite (GridSat), Global Satellite Mapping of Precipitation (GSMaP), and Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42RT)], and reanalyses [European Centre for Medium-Range Weather Forecasts (ECMWF) interim reanalysis (ERA-Interim) and Japanese 55-year Reanalysis (JRA-55)]; iv) distributional bias corrections, mainly to improve the P frequency; v) correction of systematic terrestrial P biases using river discharge Q observations from 13,762 stations across the globe; vi) incorporation of daily observations from 76,747 gauges worldwide; and vii) correction for regional differences in gauge reporting times. MSWEP V2 compares substantially better with Stage IV gauge–radar P data than other state-of-the-art P datasets for the United States, demonstrating the effectiveness of the MSWEP V2 methodology. Global comparisons suggest that MSWEP V2 exhibits more realistic spatial patterns in mean, magnitude, and frequency. Long-term mean P estimates for the global, land, and ocean domains based on MSWEP V2 are 955, 781, and 1,025 mm yr−1, respectively. Other P datasets consistently underestimate P amounts in mountainous regions. Using MSWEP V2, P was estimated to occur 15.5%, 12.3%, and 16.9% of the time on average for the global, land, and ocean domains, respectively. MSWEP V2 provides unique opportunities to explore spatiotemporal variations in P, improve our understanding of hydrological processes and their parameterization, and enhance hydrological model performance.
Global dynamics of deterministic and stochastic epidemic systems with nonmonotone incidence rate

This paper is devoted to studying the dynamics of a susceptible-infective-latent-infective (SILI) epidemic model that is subject to the combined effects of environmental noise and intervention strategy. We extend the classical SILI epidemic model from a deterministic framework to a stochastic one. For the deterministic case, the global stability analysis of the solution is carried out in terms of the basic reproduction number. For the stochastic case, sufficient conditions for the extinction of diseases are obtained. Then, the existence of stationary distribution and asymptotic behavior of the solution are further studied to illustrate the cycling phenomena of recurrent diseases. Numerical simulations are conducted to verify these analytical results. It is shown that both stochastic noise and intervention strategy contribute to the control of diseases.
Analisis selisih biaya bahan baku terhadap efisiensi biaya produksi

Analisis selisih adalah teknik untuk menganalisis perbedaan biaya produksi sebenarnya dengan biaya produksi standard dan cari tahu alasan perbedaannya. Pada penelitian ini menggunakan metode kuantitatif dengan sumber data primer. Dari hasil hasil analisis dari pembahasan maka kesimpulan dari hasil analisis biaya bahan baku diketahui bahwa harga bahan baku memiliki beberapa varian harga yang berbeda. Pada PT. Tirta Marwah Mandiri meliki beberapa pemasok bahan baku plastic yang berbeda tergantung dari harga plastik di pasaran. Hasil analisis dari biaya bahan baku memiliki selisih yang tidak menguntungkan karena disebabkan oleh selisih kuantitas serta mengakibatkan perusahaan tidak efisiensi dalam menjalankan kegiatan produksi.
New Iterative AM Estimation Procedure for Fitting the Simple Linear Measurement Error Models

This article proposed a modified AM estimation procedure. The procedure uses the grouping estimators iteratively after dividing the sample into clus- ters. Then, the grouping AM procedure used to fit the structural relationship with measurement error considering there is no equation error model. The performance of the iterative grouping estimator is compared with the tra- ditional two group estimators. Simulation study showed that in terms of mean square error the proposed estimator is robustify the traditional two group estimator. A real data analysis for studying the relationships between happiness rate and the corruption perceptions index in the Arabs states is discussed.
Low RMS phase error 28 GHz 5‐bit switch type phase shifter for 5G applications

A 28 GHz 5-bit switch-type phase shifter (STPS) using 0.18 μm CMOS technology is presented for 5G mobile communication applications. Utilising a process variation insensitive transmission line-based bridged T-type topology for 11.25°, 22.5°, 45°, 90° 1-bit phase shifters and high-pass/low-pass network switched-path-type topology for 180° 1-bit phase shifter, the 5-bit STPS achieves ultra-low root mean square (RMS) phase error of 1.7° and low RMS amplitude error of 0.59 dB at 28 GHz with intrinsic digital phase-control mechanism. The measured insertion loss of all 32 states is 15 ± 1.5 dB at 28 GHz with zero dc consumption.
Peeling Away the Taken-For-Grantedness of Research Subjectivities: Orienting to the Phenomenological

Qualitative research is a multidisciplinary field of practice that acknowledges and values the situatedness and subjectivities of the researcher. Therefore, reflexively accounting for one’s subjectivities is a crucial part of a research report. Less discussed is how subjective understandings are historically, culturally, and socially mediated, often challenging researchers’ abilities to orient themselves critically to this self-reflective undertaking. Phenomenology is a philosophical approach investigating how phenomena such as subjectivity are constituted in experience. This makes phenomenology an essential resource for understanding how complex subjective responses manifest differently depending on one’s orientation to the situation. This paper aims to familiarize qualitative research instructors and learners with a series of phenomenological activities that have proven helpful in disclosing multiple ways subjectivities are historically and contextually mediated, embodied, and technologically modified.
Intravascular Lymphoma as a Cause of Recurrent Strokes – Case Report and Review of the Literature

Background Intravascular lymphoma is an uncommon cause of ischemic strokes. Because of its rarity and atypical pattern, most diagnoses are made post-mortem. Case study We present a case of a 68-year-old male with multiple cardiovascular risk factors and recent SARS-CoV-2 infection who presented with recurrent strokes. Because of his stroke risk factors, he was initially managed with a sequentially escalating antithrombotic regimen. A malignant process was low on the differential at this point given his lack of systemic symptoms. When he continued to have new strokes despite these measures, including a spinal cord infarct, a broad workup was sent including for hypercoagulable states, vasculitis, and intravascular lymphoma. Eventually, a skin biopsy of a cherry angioma returned positive for lymphoma cells. He was treated with methotrexate followed by chemotherapy and rituximab. Unfortunately, he did not improve and was made comfort measures only by his family. Conclusion This case illustrates the importance of considering intravascular lymphoma as a potential etiology of recurrent strokes, as early diagnosis and treatment are important for preventing irreversible neurological damage.
Protostellar chemistry dominated by external irradiation

Abstract Submillimetre observations of externally irradiated low-mass protostellar envelopes show that the gas temperature in the envelopes is dominated by the external irradiation. Detailed studies of the protostar IRS7B in Corona Australis also show that the chemistry is strongly affected by the irradiation, depleting the abundances of complex organic molecules.
Finite element study on thermal buckling of functionally graded piezoelectric beams considering inverse effects

In this article, the buckling behavior and bifurcation point of Functionally Graded Piezoelec- tric (FGP) beams are investigated based on Euler-Bernoulli beam theory. The finite element method is employed to model the beam in thermal environment. The material properties of the beam are considered to vary gradually in the thickness direction and the beam is subjected to electrical and thermal loading. In this paper, direct and inverse piezoelectric effects are considered and buckling of the beam in the sensor state is investigated. By solving the eigenvalue problem, the buckling load of the FGP beam is obtained and the effect of various parameters such as power law index, temperature, applied voltage and beam aspect ratio on the buckling load are investigated. The results show that the boundary conditions are the main factor that affects the buckling load of the FGP beam.