Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF WORK MOTIVATION, WORK ENVIRONMENT, AND COMPENSATION ON EMPLOYEE PERFORMANCE AT BANK BTN MEDAN BRANCH OFFICE

This study aimed to assess the impact of employee motivation, work environment, and remuneration on performance at the Bank BTN Medan Branch Office. This study employs quantitative methodologies and utilizes 40 employees as samples. The sampling is determined by saturation sampling. A questionnaire with a Likert scale is distributed directly to respondents to collect data. Instrument test of reliability and validity, classical assumption test, and hypothesis test utilizing multiple linear regression analysis and SPSS. The findings revealed that work motivation, work environment, and salary had a significant and positive impact on the performance of Bank BTN Medan Branch Office personnel, either partially or simultaneously. The effect obtained was on the value of 75.7%, means that work motivation, work environment, and compensation received have a significant influence on the performance of its employees, although it is necessary to increase certain aspects so that the increase will also improve and enhance the performance of the employees of the Bank BTN Medan Branch Office.
Comparison of Safety and Effectiveness of Local or General Anesthesia after Transcatheter Aortic Valve Implantation: A Systematic Review and Meta-Analysis

It remains controversial to choose anesthesia for transcatheter aortic valve implantation (TAVI). A meta-analysis of cohort studies was conducted to assess the efficacy and safety of local anesthesia (LA) compared to general anesthesia (GA) in TAVI. All relevant studies published from 1 January 2002, to 31 June 2022, were searched in Ovid, PubMed, Embase, Web of Science, and Cochrane Library. A total of 34 studies involving 23,480 patients were included in the meta-analysis. TAVI with LA was associated with a significant reduction in hospital stay [WMD = −2.48, 95% CI (−2.80, −2.16), p < 0.00001], operative [WMD = −12.25, 95% CI (−13.73, −10.78), p < 0.00001] and fluoroscopy time [WMD = −3.30, 95% CI (−5.40, −1.19), p = 0.002], and an increased risk of acute kidney injury [OR = 1.31, 95% CI (1.01, 1.69), p = 0.04] and a reduced incidence of major bleeding [OR = 0.59, 95% CI (0.46, 0.75), p < 0.0001] and the use of cardiovascular drugs [OR = 0.17, 95% CI (0.05, 0.57), p = 0.004]. No differences were found between LA and GA for 30-day mortality, procedural success rate, myocardial infarction, permanent pacemaker implantation, paravalvular leak, shock, and cerebrovascular events. Overall, 4.4% of LA converted to GA. Based on current evidence, our results suggested that LA strategies reduced hospital stay, operative time, fluoroscopy time, cardiovascular drug consumption, and major bleeding rates in patients undergoing TAVI but led to increased acute kidney injury rates. Further studies and randomized trials are required to verify the presented findings and to identify patients who might benefit from LA.
Introducing Temporal Correlation in Rainfall and Wind Prediction From Underwater Noise

While in the past the prediction of wind and rainfall from underwater noise was performed using empirical equations fed with very few spectral bins and fitted to the data, it has recently been shown that regression performed using supervised machine learning techniques can benefit from the simultaneous use of all spectral bins, at the cost of increased complexity. However, both empirical equations and machine learning regressors perform the prediction using only the acoustic information collected at the time when one wants to know the wind speed or the rainfall intensity. At most, averages are made between spectra measured at subsequent times (spectral compounding) or between predictions obtained at subsequent times (prediction compounding). In this article, it is proposed to exploit the temporal correlation inherent in the phenomena being predicted, as has already been done in methods that forecast wind and rainfall from their values (and sometimes those of other meteorological quantities) in the recent past. A special architecture of recurrent neural networks, the long short-term memory, is used along with a data set composed of about 16 months of underwater noise measurements (acquired every 10 min, simultaneously with wind and rain measurements above the sea surface) to demonstrate that the introduction of temporal correlation brings significant advantages, improving the accuracy and reducing the problems met in the widely adopted memoryless prediction performed by random forest regression. Working with samples acquired at 10-min intervals, the best performance is obtained by including three noise spectra for wind prediction and six spectra for rainfall prediction.
A Critical Review on Heat Transfer of Supercritical Fluids

Abstract Supercritical fluids have been widely used in a variety of applications, in which heat transfer under supercritical pressure is of great importance. This paper presents a critical review on supercritical heat transfer, including a summary on the past work focusing on in-tube heat transfer and the pseudo-boiling concept, the understanding of the mechanisms of supercritical heat transfer, and suggestions for future work. For supercritical fluids heated in tubes, the typical characteristics, the effects of various parameters, the buoyancy and flow acceleration effects, and the heat transfer deterioration phenomenon are all discussed, and the heat transfer correlations and numerical methodologies are summarized. For supercritical fluids cooled in tubes, the experimental observations and explanations, the proposed heat transfer correlations, and the numerical results are summarized and discussed. More importantly, this review provides a comprehensive review of the supercritical pseudo-boiling concept, including the experimentally observed pseudo-boiling phenomenon, the theoretical studies for supercritical fluids to reveal their heterogenous two-phase features, and the progress in the application of the pseudo-boiling concept on supercritical heat transfer. Finally, suggestions for future research are provided to further advance the understanding and enable accurate prediction of supercritical heat transfer.
Effect of liner thickness on electromigration lifetime

Electromigration lifetime was measured as a function of liner thickness for Cu/SiO2 interconnect structures. A significant increase in mean lifetime was observed for structures in which the liner thickness at the base of the test via was less than approximately 6 nm, with a current density <5 mA/μm2 in the power line connected to the test via. This is attributed to the continuous flow of Cu across the thin and possibly discontinuous liner at the base of the via. For extremely thin liner coverage, <1.4 nm at the base of the via and 2.5 at the bottom of the test line, the mean lifetime was observed to decrease as a rapid diffusion path was created which partially offset the beneficial effects of continuous flow. Failure distributions appeared to be trimodal and this was confirmed through failure analysis. In the case of thin liner coverage (<6 nm), early fails, which are typically characterized by slitlike voids at the via/line interface, were not observed.
Old Methods, New Insights: Reviewing Concepts on the Ecology of Trypanosomatids and Bodo sp. by Improving Conventional Diagnostic Tools

Mixed infections by different Trypanosoma species or genotypes are a common and puzzling phenomenon. Therefore, it is critical to refine the diagnostic techniques and to understand to what extent these methods detect trypanosomes. We aimed to develop an accessible strategy to enhance the sensitivity of the hemoculture, as well as to understand the limitations of the hemoculture and the blood clot as a source of parasitic DNA. We investigated trypanosomatid infections in 472 bats by molecular characterization (18S rDNA gene) of the DNA obtained from the blood clot and, innovatively, from three hemoculture sample types: the amplified flagellates (“isolate”), the pellet of the culture harvested in its very initial growth stage (“first aliquot”), and the pellet of non-grown cultures with failure of amplification (“sediment”). We compared (a) the characterization of the flagellates obtained by first aliquots and isolates; and (b) the performance of the hemoculture and blood clot for trypanosomatid detection. We observed: (i) a putative new species of Bodo in Artibeus lituratus; (ii) the potential of Trypanosoma cruzi selection in the hemoculture; (iii) that the first aliquots and sediments overcome the selective pressure of the hemoculture; and (iv) that the blood clot technique performs better than the hemoculture. However, combining these methods enhances the detection of single and mixed infections.
Feed Clusters According to In Situ and In Vitro Ruminal Crude Protein Degradation

Simple Summary The objective of the present study was to assess the suitability of an enzymatic laboratory method to estimate ruminal protein degradation. In situ data were used as reference. Appropriate in vitro methods are important to overcome methodological and ethical shortcomings, associated with the use of experimental animals. A cluster analysis was performed on the basis of differences between in vitro and in situ protein degradation. Among the 40 feedstuffs we tested, this difference was lowest in legume grains and highest in cereal by-products and barley. The feedstuffs clustered unspecific, not relatable to nutrient composition, origin or treatment. However, it was often obvious that additional carbohydrate-degrading enzymes should be used to assist the laboratory method, based solely on protease, to make it more conform with the in situ reference data. Abstract Effective degradation (ED) of crude protein (CP) was estimated in vitro at 0.02, 0.05 and 0.08 h−1 assumed ruminal passage rates for a total of 40 feedstuffs, for which in situ ED was available and used as reference degradation values. For this, the Streptomyces griseus protease test was used. The differences between in vitro CP degradation and the in situ CP degradation values were lowest in legume grains and highest in cereal by-products and barley. The differences between in situ and in vitro ED were expressed using a degradation quotient (degQ), where degQ = (EDin vitro − EDin situ)/EDin situ. Among the tested feedstuffs, eight specific clusters were identified according to degQ for the assumed passage rates. The feedstuffs clustered in an unspecific way, i.e., feedstuffs of different nutrient composition, origin or treatment did not necessarily group together. Formaldehyde–treated rapeseed meal, soybean meal, wheat, a treated lupin, sunflower meal and barley could not be assigned to any of the clusters. Groupwise degradation (range of degQ for assumed passage rates are given in brackets) was detected in grass silages (−0.17, −0.11), cereal by-products together with sugar beet pulp (−0.47, −0.35) and partly in legume grains (−0.14, 0.14). The clustering probably based on different specific nutrient composition and matrix effects that influence the solubility of feed protein and limit the performance of the protease. The matrix can be affected by treatment (chemically, thermally or mechanically), changing the chemical and physical structure of the protein within the plant. The S. griseus protease test had reliable sensitivity to reflect differences between native feedstuffs and treatments (thermally or chemically) that were found in situ. The in situ results, however, are mostly underestimated. The clustering results do not allow a clear conclusion on the groupwise or feed-specific use of carbohydrate-degrading enzymes as pre- or co-inoculants as part of the S. griseus protease test and need to be tested for its potential to make this test more conform with in situ data.
LARVICIDAL ACTIVITIES OF SOME EURO-ASIATIC PLANTS AGAINST CULEX QUINQUEFASCIATUS SAY (DIPTERA: CULICIDAE)

Methanol extracts of the aerial parts from 31 Euro-Asiatic plant fourth instar larvae species were tested for larvicidal activity against the mosquito, Culex quinquefasciatus Say (Diptera: Culicidae) fourth instar larvae. under laboratory conditions. The mortality from six concentrations (5, 10, 25, 50, 100 and 200 ppm) was determined and LD50 was calculated. All plant extracts showed larvicidal activity in 24 h exposure tests. The methanolic extracts of plants Otanthus maritimus displayad the highest larvicidal activities with LD50 7 ppm, followed by Ammi visnaga , Acer pseudoplatanus, Acer platanoides and Satureja hortensis with LO50 9, 23, 28 and 28 ppm, respectively.
Ferrimagnets for spintronic devices: From materials to applications

Spintronic devices use spin instead of charge to process information and are widely considered as promising candidates for next-generation electronic devices. In past decades, the main motivation in spintronics has been to discover new mechanisms and novel material systems to improve both device performance and the application prospects of spintronics. Recently, researchers have found that ferrimagnetic materials—in which sublattices are coupled antiferromagnetically—offer an emerging platform for realizing high-density, high-speed, and low-power-consumption memory and logic functions. Within such a ferrimagnetic class, vanishing magnetization and ultrafast magnetic dynamics can be achieved by adjusting chemical composition and temperature, among other parameters. Meanwhile, unlike for antiferromagnets, conventional electrical read–write methods remain suitable for ferrimagnets, which is beneficial for applications. In this review, an abundant class of ferrimagnets including oxides and alloys is surveyed, and unique magnetic dynamics and effective methods for manipulating the magnetic states of ferrimagnets are discussed. Finally, novel storage and computing devices based on ferrimagnets are considered, as there are some challenges to be addressed in future applications of ferrimagnets.
Analysis of a polarization-independent nonlinear cross-slot waveguide with Fourier Modal Method (FMM)

We propose the Fourier Modal Method (FMM) as a convenient numerical tool for the design and analysis of nonlinear optical waveguides. The scope of this work includes the design of a polarization-independent nonlinear cross-slot waveguide for telecommunication applications at the wavelength of 1550 nm. The FMM method has been implemented, obeying the proper Fourier factorization rules, within a MATLABTM environment. The influence of the modal field intensity on the transverse refractive index distribution due to the optical Kerr effect is modeled with FMM for a propagation invariant scheme of the waveguide. The waveguide is geometrically optimized for an enhanced nonlinear light matter interaction. A silicon-inorganic hybrid material platform based on hydrogenated amorphous silicon (a-Si:H) and amorphous titanium dioxide (TiO2) is considered for the mentioned waveguide. With the optimized design of the waveguide, the achieved value of the nonlinear waveguide parameter (γ) is 4.678 × 104 W-1Km-1.
Creating inclusivity through boundary work? Zooming in on low-wage service sector work

Workers in the low-wage service sector represent a sociodemographically heterogeneous and particularly vulnerable group in terms of job security, job quality and health implications. However, organizational inclusion research has largely neglected this group. In contrast, this article builds on a qualitative study of a Dutch aircraft cleaning company in order to assess the ‘inclusivity of inclusion approaches’ for less privileged groups of employees. By reconstructing how managers and cleaners draw/rework boundaries, we identify certain configurations of inclusion and exclusion that can unfold more or less ‘inclusive’ consequences for historically disadvantaged group members, and more or less exclusionary repercussions for particularly privileged and/or majority group members. We stress the need to say goodbye to a linear narrative of organizations becoming ‘inclusive as such’. Furthermore, we argue that the presence of decent working and employment conditions and the absence of steep differences in those conditions between groups represent the ‘silent foundation’ of creating inclusivity. Consequently, we ask: does inclusion research reach its ‘natural limits’ by tiptoeing around the topic of equality?
CD8+ T cell cross-reactivity during heterologous flavivirus infection results in cross-reactive immunodomination and enhanced cytolytic capacity at the expense of virus-specific responses

Flaviviruses constitute a genus of closely related arthropod-borne viruses including Zika virus, the four serotypes of dengue virus, and yellow fever virus, which circulate in the same geographic regions. These viruses share a substantial degree of genetic similarity and consequently, antigenic overlap has been reported by evaluating T cell and antibody responses in humans, non-human primates, and mice. However, it has not been determined how existing immunity to a heterologous flavivirus impacts functional immune responses to virus-specific and cross-reactive epitopes. We hypothesize that cross-reactive T cells from prior flavivirus exposures will expand robustly during a heterologous challenge and that these cells primed during a heterologous infection will be functionally different from cells of the same specificity primed during a homologous infection. Using various mouse models of flavivirus infection, we have identified a pan-flavivirus reactive CD8+ T cell epitope. We show in a heterologous infection model in which dengue virus exposure precedes Zika virus infection, T cell responses to the cross-reactive epitope dominate at the expense of the Zika-specific T cell responses. These cross-reactive T cells display enhanced killing capacity, in addition to other functional changes. The culmination of these features drive altered protective capacity when compared to homologously primed T cells in our mouse model of Zika infection. Our findings provide a mechanistic understanding of cross-reactive T cell control during heterologous infection and have important implications for vaccine design, as these results define the functional consequences of priming a cross-reactive T cell response for a pan-flavivirus vaccine.
The Environmentalist Movement in the World and Environmental Studies in the Marketing Literature

Problems such as environmental pollution, the depletion of the ozone layer, the melting of glaciers due to global warming, the decline in clean resources and the extinction of some species have prompted people to consider the idea of a more sustainable world. In this process, humanity is going through a mental transformation and gaining some awareness. As emphasized in this study, all crises (accidents, fi res, outbreaks, etc.) experienced worldwide have been the driving forces for environmental transformations. Environmentalist movements emerging from this orientation have also found their place in the world of science and therefore in the marketing literature. From this point of view, the aim of this study is to explain the scientifi c publications inspired by the environmental transformations experienced chronologically and to reveal the part that is present in the marketing literature. In this study, it has been shown with which intensity environmental studies have been included in the marketing literature. In addition, it was determined which marketing journals were discussed intensely. This study points to potential academic fi elds of study. Finally, this study emphasizes that while trying to explain green consumer profi les, attention should be paid to macro factors (lifestyle, sociological variables, etc.) in addition to micro factors such as values and norms. National and corporate green policies can be more successful if handled in this context.
Non-monotonic hazard functions and the autoregressive conditional duration model

This paper shows that the monotonicity of the conditional hazard in traditional ACD models is both econometrically important and empirically invalid. To counter this problem we introduce a more flexible parametric model which is easy to fit and performs well both in simulation studies and in practice. In an empirical application to NYSE price duration processes, we show that non-monotonic conditional hazard functions are indicated for all stocks. Recently proposed specification tests for financial duration models clearly reject the standard ACD models, whereas the results for the new model are quite favorable.
Magnetic orientation of collagen and bone mixture

There are no reported studies on the effects of magnetic fields on osteoblast collagen secretory processes during osteoblast differentiation. It is important to understand the effect of magnetic-field exposure on osteoblast collagen secretory processes since bone is remodeled continuously by bone-forming osteoblasts and bone-resorbing osteoclasts. We hypothesized that a mixture of collagen and osteoblasts, an adherent cell, would orient perpendicular to a magnetic field since collagen fibers are known to orient perpendicular to magnetic fields. As the osteoblasts proliferate along the collagen fibers, the magnetic orientation of the osteoblasts will change to a perpendicular direction as well. We tested this hypothesis by comparing the magnetic orientation of osteoblasts and the magnetic orientation of an osteoblast and collagen mixture after exposure to 8 T magnetic fields, which were produced by a superconducting magnet, or without exposure to magnetic fields (control). We succeeded in producing the mag.
Effects of Corrugated Roughness on Gaseous Slip Flow Forced Convection in Microtubes

Because of technological restrictions, it is actually impossible to fabricate smooth microchannels. Therefore, exploring the roughness effects on the flow characteristics at microscale is of great importance for scientific communities. The present investigation deals with the effects of corrugated roughness on the fully developed slip flow forced convection in micropipes. The governing equations subject to first-order slip boundary conditions are solved by means of the straightforward perturbation method. Closed-form expressions are obtained for the dimensionless velocity and temperature distributions, for the friction coefficient and pressure drop, and finally for the Nusselt number. The results demonstrate that the corrugated roughness increases both the pressure drop and the heat transfer rate, with the amount of the increase in the pressure drop being a little more. Despite increasing the heat transfer rate, the effect of roughness is found to be unfavorable as it leads to smaller values of the channel performance, defined as the ratio of the heat transfer rate to the pressure drop. In other words, for a given heat transfer rate some increase in pumping power requirements is incurred.
Electrostatic engineering of nanotube transistors for improved performance

With decreasing device dimensions, the performance of carbon nanotube field-effect transistors (CNFETs) is limited by high OFF currents except at low drain voltages. Introducing an asymmetry between source and drain electrostatics can improve the performance, reducing OFF currents and extending the usable range of drain voltage. The improvement is most dramatic for ambipolar Schottky-barrier CNFETs. Moreover, this approach allows a single device to exhibit equally good performance as an n- or p-type transistor, by changing only the sign of the drain voltage. Even for CNFETs having ohmic contacts, an asymmetric design can greatly improve the performance for small-bandgap nanotubes.