Miracle-dz/UniFAR-FTUs huggingface dataset:
Multimedia in Translation Class: A Technology Acceptance Model

In the era of revolution industry, it is believed that the integration of technology in the language learning activity widely increase. The purpose of the research was to investigate the implementation of multimedia as technology integrated in the Translation course learning activity. A quantitative approach is employed in this study with 47 students from English Education Department of Univesitas Lancang Kuning selected by using total sampling technique. This research was descriptive quantitative using survey design. The data collected by using a Likert Scale questionnaire with three indicators of Technology Acceptance Model (TAM) namely perceived usefulness, perceived ease of use, and attitude toward using. After that, the data was analysed by using descriptive statistic. Overall, it was found that the statistical data of multimedia implementation in the Translation course is about 3.99. It is claimed into “moderate” category. It indicates that the multimedia implementation in the Translation course helps the students to be more confident during the class. It also makes students enjoy the learning process. Multimedia also made the learning process become effective and efficient
Assembly of Nanoencapsulated Pendimethalin Herbicide using Solvent Evaporation Method for Season Long Weed Control under Irrigated Ecosystem

Laboratory experiment was carried at the Department of Nano Science and Technology, Tamil Nadu Agricultural University, Coimbatore during 2013-2014 to fabricate the slow release nanoencapsulated herbicide for season long weed free environment. In this experiment the preemergence herbicide pendimethalin was encapsulated using solvent evaporation method. Thus encapsulated pendimethalin particles were characterized using scanning electron microscope (SEM), X-ray diffraction (XRD) and Particle size analyzer. The solvent evaporation method effectively encapsulated the pendimethalin particles and released slowly throughout the study period of 40 days. Biosafety studies of encapsulated materials was carried out on earthworms and found to be non-toxic.
Nitric Oxide in the Field: Prevalence and Use of Nitrates by Dietitians and Nutritionists in Spanish Elite Soccer

Soccer players make frequent use of dietary supplements to improve performance. One of the most widely used strategies to optimize performance is to increase the bioavailability of nitric oxide through nitrates, as it could delay fatigue during physical exertion, among other benefits. This may be positive for performance in soccer, although there is almost no research in professional soccer. The aim of the study was to evaluate the use of nitrates and behaviours related to their consumption in Spanish elite soccer clubs. Dietitian–nutritionist representatives from 45 teams from the most important Spanish soccer leagues completed an online survey to determine if, when, how and why nitrates are prescribed to soccer players. Of the total sample, 55.6% indicated providing nitrates, always before matches, but only 36% in training. There was a wide variation and lack of consistency in the timing, dosage and form of administration of nitrates. The use of mouthwashes or the protocol of chronic nitrate intake was not taken into account in most cases. The present study indicates a lack of interpretation between scientific knowledge and its application in practice, highlighting the need for future research to better understand how to optimize the use of nitrates in professional soccer.
Proving Rho Meson Is a Dynamical Gauge Boson of Hidden Local Symmetry

The rho meson has long been successfully identified with a dynamical gauge boson of Hidden Local Symmetry (HLS) Hlocal in the non-linear sigma model G/H gauge equivalent to the model having the symmetry Gglobal×Hlocal, with G=[SU(2)L×SU(2)R]≃O(4),H=SU(2)V≃O(3). However, under a hitherto unproven assumption that its kinetic term is dynamically generated, together with an ad hoc choice of the auxiliary field parameter “a=2”, we prove this assumption, thereby solving the long-standing mystery. The rho meson kinetic term is generated simply by the large N limit of the Grassmannian model G/H=O(N)/[O(N−3)×O(3)] gauge equivalent to O(N)global×[O(N−3)×O(3)]local, extrapolated to N=4, O(4)global×O(3)local, with all the phenomenologically successful “a=2 results”, i.e., ρ-universality, KSRF relation, and the Vector Meson Dominance, realized independently of the parameter “a”. This in turn establishes validity of the large N dynamics at the quantitative level directly by the experiments. The relevant cutoff reads Λ≃4πFπ for N=4, which is regarded as a matching scale of the HLS as a “magnetic dual” to QCD. Skyrmion is stabilized by such a dynamically generated rho meson without recourse to the underlying QCD, a further signal of the duality. The unbroken phase with a massless rho meson may be realized as a novel chiral-restored hadronic phase in the hot/dense QCD.
Factors Influencing Technological Adoption in the Slovak Insurance Market

The global insurance sector has undergone significant transformation due to the widespread integration of digital technologies. E-insurance, which involves the provision of insurance and related financial services through digital platforms, represents a significant advancement in this context. Digital innovation has not only increased profits to insurance companies but also facilitated the development of effective business strategies, enhancing their market share. The objective of this analysis is to uncover the determinants influencing the adoption of innovative technological solutions in the Slovak insurance landscape between 2011 and 2021. Utilizing the Technology-Organization-Environment (TOE) framework, the study categorizes the factors affecting the incorporation of IT in e-insurance into three groups: technological, organizational, and environmental. The findings reveal that the environmental factor exerts the most substantial influence on technological adoption in insurance market. Moreover, the study highlights the ample opportunities for insurance companies in the Slovak market to enhance their position through digitalization. Particularly noteworthy is the positive impact of an insurance company's market share on the likelihood of e-insurance adoption.
Fast Thermocycling in Custom Microfluidic Cartridge for Rapid Single-Molecule Droplet PCR

The microfluidic droplet polymerase chain reaction (PCR), which enables simultaneous DNA amplification in numerous droplets, has led to the discovery of various applications that were previously deemed unattainable. Decades ago, it was demonstrated that the temperature holding periods at the denaturation and annealing stages in thermal cycles for PCR amplification could be essentially eliminated if a rapid change of temperature for an entire PCR mixture was achieved. Microfluidic devices facilitating the application of such fast thermocycling protocols have significantly reduced the time required for PCR. However, in microfluidic droplet PCR, ensuring successful amplification from single molecules within droplets has limited studies on accelerating assays through fast thermocycling. Our developed microfluidic cartridge, distinguished for its convenience in executing single-molecule droplet PCR with common laboratory equipment, features droplets positioned on a thin glass slide. We hypothesized that applying fast thermocycling to this cartridge would achieve single-molecule droplet PCR amplification. Indeed, the application of this fast protocol demonstrated successful amplification in just 22 min for 30 cycles (40 s/cycle). This breakthrough is noteworthy for its potential to expedite microfluidic droplet PCR assays, ensuring efficient single-molecule amplification within a remarkably short timeframe.
Liquid Metal-Tunable Miniaturized Bimodal Cavity for Enhanced Measurement Accuracy in the ISM Bands

Enhancing measurement accuracy or reducing the effect of the neighboring modes in resonant cavities may necessitate the separation of mode frequencies. However, in ISM-band measurement configurations utilizing a rectangular or cylindrical cavity, the placement of the first two modes at 2.45 and 5.8 GHz is unattainable, necessitating the presence of additional modes in between that would potentially degrade measurement accuracy. This article begins with an analytical approach, employing Lagrange multipliers for the first time to reveal the level of separation achievable in the frequency domain between the initial two modes within these types of conventional cavities. The analytical results were also verified with a numerical grid search. Subsequently, innovative strategies have been introduced to surpass this intrinsic constraint that reduces the measurement accuracy in various applications. A novel miniaturized cavity configuration has been proposed to operate bimodally at 2.45 and 5.8 GHz and manufactured with a 3-D printer. It has been ensured that there are no physical modes present in between, and measurements of the structure have been conducted. Another notable innovation of the article is the capability of tuning the proposed cavity structure by means of liquid metal displacement. Thus, a more flexible tuning method compared to mechanical tuning techniques can be achieved, enabling precise adjustment of the desired measurement frequency. Good agreement between the simulation and measurement results has been reported.
for-Inclusion of brown midrib dwarf pearl millet silage in the diet of lactating dairy cows

Brown midrib brachytic dwarf pearl millet ( Pennis-etum glaucum ) forage harvested at the flag leaf visible stage and subsequently ensiled was investigated as a partial replacement of corn silage in the diet of high-producing dairy cows. Seventeen lactating Holstein cows were fed 2 diets in a crossover design experiment with 2 periods of 28 d each. Both diets had forage: concentrate ratios of 60:40. The control diet (CSD) was based on corn silage and alfalfa haylage, and in the treatment diet, 20% of the corn silage dry matter (corresponding to 10% of the dietary dry matter) was replaced with pearl millet silage (PMD). The effects of partial substitution of corn silage with pearl millet si-lage on dry matter intake, milk yield, milk components, fatty acid profile, apparent total-tract digestibility of nutrients, N utilization, and enteric methane emissions were analyzed. The pearl millet silage was higher in crude protein and neutral detergent fiber and lower in lignin and starch than the corn silage. Diet did not affect dry matter intake or energy-corrected milk yield, which averaged 46.7 ± 1.92 kg/d. The PMD treatment tended to increase milk fat concentration, had no effect on milk fat yield, and increased milk urea N. Concentrations and yields of milk protein and lactose were not affected by diet. Apparent total-tract digestibility of dry matter decreased from 66.5% in CSD to 64.5% in PMD. Similarly, organic matter and crude protein digestibility was decreased by PMD, whereas neutral-and acid-detergent fiber digestibility was increased. Total milk trans fatty acid concentration was decreased by PMD, with a particular decrease in trans -10 18:1. Urinary urea and fecal N excretion increased with PMD compared with CSD. Milk N efficiency decreased with PMD. Carbon dioxide emission was not different between the diets, but PMD increased enteric methane emission from 396 to 454 g/d and increased methane yield and intensity. Substituting corn silage with brown midrib dwarf pearl millet silage at 10% of the diet dry matter supported high milk production in dairy cows. When planning on farm forage production strategies, brown midrib dwarf pearl millet should be considered as a viable fiber source.
A closer look at the taxonomic and genetic diversity of endemic South African Marphysa Quatrefages, 1865

The current study investigates the final unresolved cosmopolitan species of Marphysa in South Africa, Marphysa corallina, collected from KwaZulu Natal, Eastern and Western Cape provinces, together with another species collected from northern KwaZulu Natal. Morphological and genetic data prove that M. corallina, originally described from Hawaii, does not occur in South Africa. The curvature of the inner base on maxilla I, the elevated inner base of maxilla II, and the ventral cirrus as a transverse welt with a rounded tip allow us to identify it as a new species of Treadwellphysa, T. izinqa sp. nov. (common name: brown wonderworm). Characteristic traits include the basal reddish and distal golden colour of the subacicular hook, the ear-shaped postchaetal lobe, and tridentate falcigers which is reported for the first time for the genus. This species is harvested as bait on the south coast of SA, although less frequently than the more common blood wonderworm, Marphysa haemasona Quatrefages, 1866, and can be distinguished by its more uniform brown colouration and white-tipped antennae. A second species, Marphysa mzingazia sp. nov., is characterized by red eyes, six branchial filaments extending to the posterior end, the golden aciculae in posterior chaetigers, weakly bidentate yellow/brown subacicular hooks, and the presence of similar sized spinigers along the body. A molecular analysis based on cytochrome oxidase I fragments confirm both taxa as different species. A key for all South African species of Marphysa is included.
Dead-Time Evaluation With Switching Frequency for GaN-Based Non-Inverting Buck-Boost DC–DC Converter Using FPGA-Based High-Frequency Control

The distinctive characteristics, such as fast switching and higher power density of gallium nitride (GaN) power semiconductor devices, are fascinating for power electronic applications. That makes it suitable for achieving high efficiency at high switching frequency operation. However, the control at higher switching frequency operation and evaluation of dead time is pivotal to achieving it. This article presents the GaN-based non-inverting buck-boost (NIBB) dc–dc converter for high-frequency and high-efficiency operation. The feedback control was designed and implemented using FPGA for the operation of the converter at a switching frequency of 500 and 800 kHz under different operating load conditions. Furthermore, the dead time evaluated corresponds to switching frequencies and load conditions. The PCB layout was designed to develop an experimental prototype of the NIBB converter developed using the LMG5200 GaN half-bridge chip (80 V, 10 A). The converter is tested for the 48–48 V operation considering the LED applications with a one-to-one voltage ratio and a Pareto front curve is given for the 250 kHz, 500 kHz, 800 kHz, and 1 MHz switching frequency.
A Study on Speaking Skill of Traffic Police in Pekanbaru

Abstract This study investigated the occupational English language needs of traffic police officers in Pekanbaru. Most police officers are graduates of the Police Academy. To study at the Police Academy, students must first complete either a high school or one of the four Police Academies. Although the intensive language training in the Police Academy is often considered adequate for most officers' needs, those officers who come from other backgrounds are often left behind. Even in the case of the Police Academy graduates, all their English language training is based on the principles of General English, and does not necessarily prepare them for the occupational-specific language needs they face on the job. This study set out to explore therefore, exactly to what extent the traffic police officers' English language knowledge is in fact adequate. Data, in this study, were collected by observing, making a conversation, recording, and taking notes. In collecting the data, the writer takes an involvement with the subject’s conversation every week whether as an active participant or only as an observer. The tool that can be used in collecting the data is a pen, a book, and a hand phone, this tools use for documenting the interaction between traffic police with foreigners. The observation can be done when the subjects making a conversation with the foreigners. As a result, most of them are reluctant to communicate with foreigners event with their partner. Keywords: A Study, Speaking Skill, Traffic Police
Content Analysis with Language Models – Exploring a Zero-Shot Learning Approach

In this paper, we discuss whether and how Natural Language Processing (NLP) can be integrated into the workflows of conventional qualitative research to support the researcher. We focus on textual data which the researcher wants to analyse using predefined categories. We explore the possibility of car ‐ rying out the coding step using NLP instead of assigning codes manually. Integrating such models into the qualitative research process makes the research more accessible and comprehensible for third parties and can contribute to moving research more into the direction of open science. Our study in ‐ dicates that the procedure is potentially able to identify the core results. However, the findings also indicate that there are weaknesses which strongly depend on the specific text and the research ques ‐ tion under investigation. We find that off ‐ the ‐ shelf language models are not able to distinguish be ‐ tween related topics as clearly as humans can. Moreover, humans are able to understand and classify passages which only implicitly refer to a topic. Findings suggest that off ‐ the ‐ shelf language models frequently fail to identify such passages. We conclude that an important step to reliably apply language models in qualitative research consists of improving the models. Nevertheless, in their current state, off ‐ the shelf language models can be used to validate the results obtained by manual coding. This could make qualitative research more traceable and fully reproducible.
: Implications in unfolding and aggregation mechanisms

Much research dealing with the processing of milk by-products in heat exchangers has noted the key role of calcium in β-lactoglobulin (β-LG) fouling behavior. Nevertheless, the manner by which Ca affects β-LG denaturation has rarely been quantified using reliable kinetic and thermodynamic data. To this end, the influence of Ca on β-LG denaturation mechanisms in simulated lactoserum concentrates was studied on the laboratory-scale under 100°C by HPLC analysis. The heat-treated solutions were composed of 53.3 g/L β-LG and were enriched in Ca at various concentrations (0, 66, 132, and 264 mg/kg). The kinetic parameters (reaction order, activation energy, and frequency factor) associated with β-LG denaturation, along with the unfolding and aggregation thermodynamic parameters were deduced from these experiments and discussed with respect to Ca content. We found that the multistage process characterizing β-LG thermal denaturation is not greatly affected by Ca addition. In fact, the general model subdividing β-LG denaturation mechanisms in 2 steps, namely, unfolding and aggregation, remained valid for all tested Ca concentrations. The change in the predominant mechanism from unfolding to aggregation was observed at 80°C across the entire Ca concentration range. Moreover, the classical 1.5 reaction order value was unaffected by the presence of Ca. Interpretation of the acquired kinetic data showed that Ca addition led to a significant increase in kinetic rate, and more so in the aggregation temperature range. This indicates that Ca principally catalyzes β-LG aggregation, by lowering the Coulombian repulsion between the negatively charged β-LG reactive species, bridging β-LG proteins, or via an ion-specific conformational change. To a lesser extent, Ca favors β-LG unfolding, probably by disturbing the noncovalent binding network of native β-LG. Simultaneously, Ca has a slight protective role on the native and unfolded β-LG species, as shown by the increase in activation energy with Ca concentration. The calculation of thermodynamic parameters related to β-LG denaturation confirmed this observation. A threshold effect in Ca influence was noted in this study: no further significant kinetic rate change was observed above 132 mg/kg of Ca; at this concentration, the studied solution was an almost equimolar mixture of β-LG and Ca. Finally, we simulated the temporal evolution of β-LG species concentrations at diverse Ca contents at 3 holding temperatures. The simulations were based on the acquired kinetic parameters. This permitted us to highlight the greater effect of Ca on β-LG denaturation at high Ca content or for short-time heat treatments at temperatures near 100°C, as in heat exchangers.
Variational Autoencoders for Semi-supervised Text Classification

Although semi-supervised variational autoencoder (SemiVAE) works in image classification task, it fails in text classification task if using vanilla LSTM as its decoder. From a perspective of reinforcement learning, it is verified that the decoder's capability to distinguish between different categorical labels is essential. Therefore, Semi-supervised Sequential Variational Autoencoder (SSVAE) is proposed, which increases the capability by feeding label into its decoder RNN at each time-step. Two specific decoder structures are investigated and both of them are verified to be effective. Besides, in order to reduce the computational complexity in training, a novel optimization method is proposed, which estimates the gradient of the unlabeled objective function by sampling, along with two variance reduction techniques. Experimental results on Large Movie Review Dataset (IMDB) and AG's News corpus show that the proposed approach significantly improves the classification accuracy compared with pure-supervised classifiers, and achieves competitive performance against previous advanced methods. State-of-the-art results can be obtained by integrating other pretraining-based methods.
Deciphering exhumation and burial history with multi‐sample down‐well thermochronometric inverse modelling

The ability of thermochronometric data to shed light on the geologic history of samples and localities through thermal history inverse modelling is enhanced by the degree to which additional geological information can be incorporated into the modelling process. In this contribution, we describe a new set of methods and processes implemented in the HeFTy modelling software for specifying the stratigraphic relationships between samples down a well or borehole, allowing them to be modelled simultaneously, and demonstrate their use in bringing better definition to both predepositional and burial histories. Data from two wells in the Colombian Andes are examined, one in the Middle Magdalena Valley that experienced not only fast Miocene burial but also features a Mio‐Pliocene unconformity, and one in the eastern foothills of the Eastern Cordillera in which burial was accomplished by a combination of sedimentation and overthrusting. Multiple‐sample modelling in both wells considerably refines the results that are obtained from single‐sample modelling. We also demonstrate how to use these methods to pose and evaluate distinct hypotheses concerning the geologic history. As a general rule, it is best practice to set up thermal history inverse models to pose specific geological questions while ruling out geologically impossible or inconsistent solutions.