Miracle-dz/UniFAR-FTUs huggingface dataset:
Longitudinal psychological empowerment profiles, their determinants, and some health-related outcomes

ABSTRACT This research relies on bifactor models to help improve our understanding of the dimensionality of the psychological empowerment construct. We also examined the configurations, or profiles, taken by psychological empowerment dimensions, and documented their stability over time as well as the associations between these profiles and theoretically-relevant predictors (workload, supervisor support, overall organizational justice, and role clarity) and outcomes (alcohol consumption, sleeping difficulties, and depressive symptoms). A sample of 750 healthcare workers completed a questionnaire twice over a one-year period. First, our results showed that employees’ psychological empowerment ratings simultaneously reflected a global overarching construct co-existing with four specific dimensions (competence, impact, meaning, and self-determination). Then, five profiles were identified and found to be highly stable over time: Low Empowerment, Moderately High Empowerment and Impact, Normative, High Empowerment, and Moderately High Empowerment and High Meaning. Role clarity was also associated with a higher likelihood of membership into the High Empowerment profile and a lower likelihood of membership into the Low Empowerment one relative to the other profiles. Finally, employees’ depressive symptoms were the highest in the Low Empowerment profile.
Tensile strength of single-walled carbon nanotubes directly measured from their macroscopic ropes

20 mm long ropes consisting of soundly aligned single-walled carbon nanotube (SWNT) ropes, synthesized by the catalytic decomposition of hydrocarbons, were employed for direct tensile strength measurements. The average tensile strength of SWNT rope composites is as high as 3.6 +/-0.4 GPa, similar to that of carbon fibers. The tensile strength of SWNT bundles was extrapolated from the strength of the composites to be 2.3 +/-0.2 to 14.2 +/-1.4 GPa after simply taking into account the volume fraction of SWNT bundles in the minicomposite, and the tensile strength of single SWNTs was estimated to be as high as 22.2 +/-2.2 GPa. The excellent mechanical properties of SWNTs will make them an ideal reinforcement agent for high performance composite materials. (C) 2000 American Institute of Physics. [S0003- 6951(00)00546-5].
Particle Simulation of Electrodynamic Aerobraking in a Hypersonic Rarefied Regime

To investigate the electrodynamic aerobraking in a hypersonic rarefied regime, the electromagnetic flow control on a reentry Hayabusa‐shape capsule entering a pure nitrogen atmosphere is investigated using the Direct Simulation Monte Carlo method with a simple ion particle movement method like the Particle‐In‐Cell method. As a results, the generated electrodynamic force is found to be enough strong to use the electrodynamic aerobraking.
Uji Kepribadian Sebagai Penunjang Keputusan Penerimaan, Penyaringan, serta Penugasan Karyawan pada Universitas Menggunakan Prosedur MBTI

Tujuan dari penelitian adalah untuk menambah efektivitas dari aktivitas pengelolaan SDM pada universitas, terutama dalam aspek penarikan karyawan, seleksi karyawan, dan penugasan karyawan agar karyawan baru yang diterima masuk atau karyawan lama yang ditempatkan di jabatan yang baru dapat memberikan dampak performa yang maksimal bagi organisasi. Metode penelitian yang digunakan adalah penelitian deskriptif kualitatif. Sampel yang digunakan adalah seluruh karyawan struktural yang bekerja di Universitas Muhammadiyah Sidoarjo kampus 1 yang berjumlah 57 orang. Hasil rekomendasi penelitian terhadap Universitas Muhammadiyah Sidoarjo dituangkan pada tabel yang tersedia di bagian hasil dan pembahasan yang berisi kesimpulan dan saran kecocokan antara deskripsi tugas sebuah jabatan dengan mekanisme personalitas Myers Briggs Type Indicator yang sesuai.
Microbial Communities on Samples of Commercially Available Fresh-Consumed Leafy Vegetables and Small Berries

Microbial communities on fresh-consumed plant products are an important predictor of quality and safety for the consumer. Totally, 45 samples of berry fruits (8 blackberries, 9 blueberries, 8 strawberries, 8 raspberries, 12 currants) and 40 samples of leafy vegetables (20 lettuce, 6 cornsalad, 8 rocket, 8 spinach) were analyzed using cultivation and DNA-depended methods. Total aerobic count, coliforms, and yeasts were significantly lower in fruits while counts of filamentous fungi were similar. Pantoea, Enterobacter, and Klebsiella were the most common colonies grown on VRBL agar. Salmonella was detected in single sample of cornsalad using qPCR but no sample contained Escherichia coli harboring stx1, stx2 and intimin genes. Sequencing of V4 region of bacteria 16S rRNA and ITS2 region of fungi amplified from plant tissue-extracted DNA confirmed different composition of fruit and vegetable microbiome. Pre-enrichment of bacteria in phosphate buffered water allowed deeper analysis of Enterobacteriaceae using V4–V5 region of 16S rRNA while differences among communities were described similarly. Pantoea, Klebsiella, or Staphylococcus were more frequent in berries while Pseudomonas, Flavobacterium, or Sphingobacterium in leafy vegetables. Comparison of inner and outer leaves of head-forming lettuces (6 iceberg, 5 romain) showed that outer leaves are colonized by more bacteria with higher diversity. Microbiological safety of fresh production requires more attention as the potentially pathogenic bacteria were detected, particularly in leafy vegetables. However, the true pathogenicity of such bacteria needs further research.
Contradiction Detection in Financial Reports

Finding and amending contradictions in a financial report is crucial for the publishing company and its financial auditors. To automate this process, we introduce a novel approach that incorporates informed pre-training into its transformer-based architecture to infuse this model with additional Part-Of-Speech knowledge. Furthermore, we fine-tune the model on the public Stanford Natural Language Inference Corpus and our proprietary financial contradiction dataset. It achieves an exceptional contradiction detection F1 score of 89.55% on our real-world financial contradiction dataset, beating our several baselines by a considerable margin. During the model selection process we also test various financial-document-specific transformer models and find that they underperform the more general embedding approaches.
Auditory Distortion Products f2−f1 and 2f1−f2

Two primary tones of frequencies f1=350 to 1500 Hz and f2=1.1 to 1.5 times f1 were presented monaurally at 60 to 80 dB SPL. Nonlinear distortion products at both f2−f1 and 2f1−f2 were made to beat against low‐intensity probe tones slightly mistuned from the frequency of the distortion product. Subjects adjusted the amplitude and phase of cancellation tones at the frequency of the distortion products to eliminate the beating. The amplitude and phase of the 2f1−f2 cancellation tone agree with earlier observations [J. L. Goldstein, J. Acoust Soc. Amer. 41, 676–689 (1967)]. The amplitude and phase angle of the f2−f1 cancellation tone decrease with an increase of either f1 or f2/f1.
Resiliensi dan Stres Akademik Mahasiswa Yang Sedang Menyelesaikan Skripsi di Universitas X Jakarta Barat

This study aims to examine the relationship between Resilience and academic stress of students who are completing their final project at X University, West Jakarta. The sample in the study amounted to 87 respondents consisting of 33 men and 54 women. The sampling technique used was non-probability sampling with the convenience sampling method. The measuring instrument in this study used the instrument of academic stress and resilience. The results obtained are correlation coefficient (r) -0.324 and a significance value of 0.002 (p <0.01). It can be concluded that there is a negative relationship between academic stress and resilience in students who are completing their final project at University X, West Jakarta. This shows that the higher the academic stress, the lower the resilience of students who are completing their final assignments and vice versa if the lower the academic stress of students who are completing their final assignments at University X, West Jakarta.
One‐dimensional hybrid satellite track model for the Dynamics Explorer 2 (DE 2) satellite

A one-dimensional hybrid satellite track model has been developed to calculate the high-latitude thermospheric/ionospheric structure below the satellite altitude using Dynamics Explorer 2 (DE 2) satellite measurements and theory. This model is based on Emery et al. (1985) satellite track code but also includes elements of Roble et al. (1987b) global mean thermosphere/ionosphere model. A number of parameterizations and data handling techniques are used to input satellite data from several DE 2 instruments into this model. Profiles of neutral atmospheric densities are determined from the MSIS-90 model and measured neutral temperatures. Measured electron precipitation spectra are used in an auroral model to calculate particle impact ionization rates below the satellite. These rates are combined with a solar ionization rate profile and used to solve the O+ diffusion equation, with the measured electron density as an upper boundary condition. The calculated O+ density distribution, as well as the ionization profiles, are then used in a photochemical equilibrium model to calculate the electron and molecular ion densities. The electron temperature is also calculated by solving the electron energy equation with an upper boundary condition determined by the DE 2 measurement. The model enables calculations of altitude profiles of conductivity and Joule heating rate along and below the satellite track. In a first application of the new model, a study is made of thermospheric and ionospheric structure below the DE 2 satellite for a single orbit which occurred on October 25,1981. The field-aligned Poynting flux, which is independently obtained for this orbit, is compared with the model predictions of the height-integrated energy conversion rate. Good quantitative agreement between these two estimates has been reached. In addition, measurements taken at the incoherent scatter radar site at Chatanika (65.1° N, 147.4° W) during a DE 2 overflight are compared with the model calculations. A good agreement was found in lower thermospheric conductivities and Joule heating rate.
Platelet-to-White Blood Cell Ratio as a Predictor of Mortality in Patients with Severe COVID-19 Pneumonia: A Retrospective Cohort Study

Purpose Complete blood count (CBC) parameters are widely used as predictors of Coronavirus disease 2019 (COVID-19) severity. However, the clinical significance of these markers in severe COVID-19 pneumonia remains unclear. This study aimed to investigate the role of CBC parameters in predicting mortality in patients with severe COVID-19 pneumonia. Patients and Methods We conducted a retrospective study at a tertiary care center in southern Thailand. Between January 2020 and December 2021, adult patients who had been diagnosed with severe COVID-19 pneumonia were enrolled. Demographic and clinical data, including CBC data on admission, were analyzed and compared between survivors and non-survivors. Results A total of 215 patients with severe COVID-19 pneumonia were enrolled. The in-hospital mortality was 29.3%. Non-survivors had a significantly lower platelet-to-white blood cell ratio (PWR) than survivors (15.8 vs 29.0, p < 0.001). PWR had the best accuracy in predicting in-hospital mortality, with an area under the curve (AUC) of the receiver operating characteristic curve of 0.801, followed by the CURB-65 of 0.789. Conclusion PWR appears to be a simple independent predictor of mortality in patients with severe COVID-19 pneumonia.
On carrier injection and gain dynamics in quantum well lasers

A detailed carrier dynamics model for quantum well lasers is presented. The model describes the transport of carriers using full continuity equations and the gain by rate equations for each well separately, and it also takes into account electron-hole interactions which modify the energy band structure. To this end, the model includes Poisson and Schrodinger equations. The model is solved in steady state where it yields nonuniform carrier distributions along the crystal growth axis. Dynamically, the model is solved in the time domain, yielding the evolution of carriers in time and space and highlighting a new effect, photon-assisted carrier transport. The model is also solved in the small-signal regime where the phase lag in gain between wells is determined. >
Surface structure of domain walls in a ferroelastic system with a domain wall pressure

Previous models of the surface structure of ferroelastic domain walls have neglected one potentially important consideration. This is the effect of a volume strain coupled to the order parameter. Such a coupling affects the structure of the domain wall both in the bulk and at the surface. In the bulk only certain components of the strain tensor can relax in response to the stresses generated within the domain wall by this coupling without disrupting the continuity of the lattice. However, at the surface a more general relaxation is possible. This has an asymmetric effect on the domain wall surface structure, causing it to widen at one surface and narrow at the opposite surface.
Adaptive Identification of Nonlinear Friction and Load Torque for PMSM Drives via a Parallel-Observer-Based Network With Model Compensation

Acquiring the accurate knowledge of nonlinear friction and load torque is of great interest for optimizing the control behavior of permanent-magnet synchronous motor drives. In this work, a friction-and-load adaptive identification scheme based on a parallel-observer-based network with model compensation (POBN-MC) is presented. The developed network possesses a parallel structure consisting of the designed two novel observers, which involve a gain-adaptation super-twisting load torque observer and a variable-learning-rate Adaline inertia observer. A nonempirical friction model is proposed to capture friction, forming the model compensation part that is exploited for correcting the torque input of the network. With a two-step mechanism derived from the POBN-MC, the proposed scheme attains the online adaptive identification of the friction and load torque in a manner that integrates both accuracy and simplicity. In the first step, an explicit mapping relationship between the nonlinear friction torque and the rotor speed is determined with the speed response triggered by the natural deceleration. The second step accomplishes the online observation with regard to friction-and-load information matching the real-time operating conditions. Sufficient theoretical analyses, as well as the validations of numerous simulations and experiments, are presented to support the suggested scheme.
Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems

The adaptive fuzzy asymptotic tracking control (AFATC) method is presented for uncertain stochastic nonlinear systems by virtue of event-triggered mechanism. The fuzzy logic systems are borrowed to address system uncertainties. By applying the backstepping technique, the AFATC strategy is recursively constructed. Different from the existing approximation-based methods, the developed controller can achieve asymptotic convergence feature. Moreover, the event-triggered mechanism is integrated into the controller design process to reduce data transmission and unnecessary resource waste. By applying the Lyapunov analysis and several helpful lemmas, the stability and convergence of the considered systems are ensured. Finally, the availability of the theory analysis is verified by a chemical reactor system.
Gamma radiation tests of potential optical fiber candidates for fibroscopy

Two pure silica core F-doped silica cladding multimode step-index (MMSI) fibers were selected and exposed to /spl gamma/ rays up to 1.5 MGy. One is a conventional polyimide coated high OH fiber (Suprasil(R) F-100 core material). The other is a new type of low OH low Cl aluminium coated fiber whose core material is made of KS-4V glass. Two successive irradiations, separated by a 3-days recovery time, were performed at 4.9 kGy/h and 60/spl deg/C. Radiation-induced attenuation spectra were recorded in situ from 400 nm to 1200 nm using a white light source and an optical spectrum analyser. In the conventional fiber, the induced attenuation spectra were governed by the growth and the recovery of the 600 nm band associated to non-bridging oxygen hole centers (NBOHCs). By contrast, for doses higher than 100 kGy, the KS-4V fiber showed fairly dose and time-invariant spectra (attenuation values of few dB/m decrease with increasing wavelength in the visible range). Because of the absence of the 600 nm band, the KS-4V fiber, beside the conventional fiber, appears to be a very promising candidate for fibroscopy.
Intensity and Polarization for Single Scattering by Polydisperse Spheres: A Comparison of Ray Optics and Mie Theory

Abstract The intensity and polarization for single scattering by large spherical particles are computed using both the exact Mie theory and the approximation of ray optics. It is found that the ray-tracing method can yield accurate results for particle size parameters in the range of interest for some meteorological applications, where the size parameter is the ratio of the particle circumference to the wavelength of the incident light. Since this method is practical for application to nonspherical particles, it should be of use in studies of cloud microstructure. The ray-optics method is also useful in the case of spherical particles because it provides a physical explanation for features which occur in the exact theory. The ray-optics calculations include Fraunhofer diffraction as well as geometrical reflection and refraction; rays undergoing one or two internal reflections, which give rise to the observable rainbows, are also included. Calculations are made for non-absorbing and absorbing spheres for s.
Accurate Modeling Approach for InP fT-Doubler Based on Electromagnetic Simulation

The <inline-formula> <tex-math notation="LaTeX">${f}_{\text {T}}$ </tex-math></inline-formula>-doubler has higher RF power and transit frequency than that of a single device, and it can be used as a single device in RF circuit design, so an accurate model of the <inline-formula> <tex-math notation="LaTeX">${f}_{\text {T}}$ </tex-math></inline-formula>-doubler is needed to achieve a good circuit performance prediction. In this article, an electromagnetic (EM) simulation-based distributed modeling technique is applied to build a <inline-formula> <tex-math notation="LaTeX">${f}_{\text {T}}$ </tex-math></inline-formula>-doubler small signal model. A four-port distributed parasitic network characterizes the extrinsic components. The three HBTs of the intrinsic part are characterized independently and then combined to construct the intrinsic model of the <inline-formula> <tex-math notation="LaTeX">${f}_{\text {T}}$ </tex-math></inline-formula>-doubler. This article convers how the modeling theory was developed, as well as the detailed modeling procedures and experimental validation. The proposed method is verified in the frequency range of 0.1–50 GHz, and quite good fitting results are achieved, and the modeling method has a significant improvement in accuracy compared to the conventional method.
Pollution Indicators in Gaborone Industrial Effluent

The objective of this study was to determine pollution indicators in and around Gaborone industrial effluent, generate relevant baseline information on industrial effluents; and determine the major sources of industrial pollution in Gaborone, Botswana. The results of the study showed that effluent quality discharged by the four different industry types in Gaborone, Botswana, differed significantly. Brewery, chemical, paints, food and beverage industries had significantly high COD, BOD and suspended solids above the maximum permissible limits. While the chemical and paints industries could be a potential source of lead pollution in Gaborone. Temperature and acidity generally were not a problem for industrial effluents. The pharmaceutical industries met all the maximum and minimum guidelines for wastewater discharge. COD, BOD, suspended solids and heavy metal levels should be monitored strictly by the Gaborone City Council in order to preven t environmental pollution and reduce health hazards caused by pollutants.
Evaluation of metabolism models for free‐water dissolved oxygen methods in lakes

Free‐water measurements of dissolved oxygen (DO) in lakes are becoming common and provide opportunities for estimating ecosystem processes, such as gross primary production (GPP) and ecosystem respiration (R). The models used to estimate metabolism often subsume biological processes into one parameter each for GPP and R. However, high‐frequency DO observations made over days show diverse patterns at multiple time scales, suggesting a complex suite of processes controls DO dynamics. Can we improve metabolism estimates and predictive ability for DO at diel scales by adding complexity to the models? In this study, we use data from two north temperate lakes to test a variety of metabolism models representing a suite of non‐linear metabolic processes. To test whether alternative models can be discriminated, we simulated DO with assumed parameter values and auto‐regressive noise, and fit the models to the simulated DO. The most complex model could be discriminated from simpler models and provided the most accurate and precise predictions. However, when models were fit to observed DO data from the sensor network, the simplest model predicted DO as well as the most complex one. The added complexity did not improve model performance. An analysis of the model residuals indicates that physics may explain some of the DO pattern not predicted, especially high‐frequency oscillations and anomalies that appear to coincide with weather patterns. Under reasonably stable weather conditions and at scales of a few days, simple metabolism models explain the bulk of diel DO variability.
Graphene on gold: Electron density of states studies by scanning tunneling spectroscopy

Graphene devices require electric contacts with metals, particularly with gold. Scanning tunneling spectroscopy studies of electron local density of states performed on mono-, bi-, and trigraphene layer deposited on metallic Au/Cr/SiO2/Si substrate shows that gold substrate causes the Fermi level shift downwards which means that holes are donated by metal substrate to graphene which becomes p-type doped. These experimental results are in good accordance with recently published density function theory calculations.
Analyzing the Characteristics of Highly Educated Unemployment in Indonesia’s Capital City

Indonesia’s capital city, Jakarta, is facing a problem of highly educated unemployment, a phenomenon that has become a very serious issue as Indonesia's population continues to increase facing the demography dividend. This study aims to analyze the characteristics of highly educated unemployment in Jakarta, the biggest city in Indonesia. The logistic a regression model is used to analyze the labor force associated with important aspects such as highly educational attainment, age, gender, marital status, and status in the household. This study finds that being less-educated, young, male, single, and member of the household respectively increase the probability of being unemployed. However, it also finds that the total effect of highly educational attainment on the probability of employment peaks maximum value when the labor forces are single and head of the household and drops to the lowest value when the labor forces are married and member of the household.