Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring The Non-ELT Students’ Gaming Experience in Acquiring the English Vocabulary

Different digital technologies, especially video games, which are used to assist students in acquiring language, have been examined by researchers. However, studies exploring non-ELT students’ gaming experience in acquiring a second language (L2) vocabulary are sparsely investigated. Therefore, this study explores how non-ELT students’ gaming experience assists them in acquiring their second language (L2) vocabulary. The data of this study were gained from non-ELT students’ experiences. Four non-ELT students were interviewed, and the data from the interview were analyzed through thematic analysis. Several initial questions given to the non-ELT students were used to tell their game experience. The results of this study indicated that the games, notably Multiplayer Online Battle Arena (MOBA), First Person Shooter (FPS), Role Playing Games (RPG), have the potential to assist non-ELT students in acquiring second language (L2) vocabulary. Several principal reasons related to how the gaming experience helps the students in acquiring new vocabulary emerged in this study.
A Large-Range and High-Sensitivity Fiber-Optic Fabry–Perot Pressure Sensor Based on a Membrane-Hole-Base Structure

In the field of in situ measurement of high-temperature pressure, fiber-optic Fabry–Perot pressure sensors have been extensively studied and applied in recent years thanks to their compact size and excellent anti-interference and anti-shock capabilities. However, such sensors have high technological difficulty, limited pressure measurement range, and low sensitivity. This paper proposes a fiber-optic Fabry–Perot pressure sensor based on a membrane-hole-base structure. The sensitive core was fabricated by laser cutting technology and direct bonding technology of three-layer sapphire and develops a supporting large-cavity-length demodulation algorithm for the sensor’s Fabry–Perot cavity. The sensor exhibits enhanced sensitivity, a simplified structure, convenient preparation procedures, as well as improved pressure resistance and anti-harsh environment capabilities, and has large-range pressure sensing capability of 0–10 MPa in the temperature range of 20–370 °C. The sensor sensitivity is 918.9 nm/MPa, the temperature coefficient is 0.0695 nm/(MPa∙°C), and the error over the full temperature range is better than 2.312%.
Scenario of Solid Waste Generation Disposal and Transportation at the University of Rajshahi

This paper presents an investigation on present scenario of solid waste generation, disposal and transportation at the University of Rajshahi and at same time focus is given on quantitative analysis and energy calculation of the wastes in the university. Quantitative analysis shows that the average amount of solid waste generated per day is 7.6 ton and the calculated average per capita per day is 0.57kg ± 0.44 although these numbers may vary from region to region. The total waste generated per month and per year is approximately 229.5 ton and 2754.9 ton respectively. The estimated lower heating value (LHV) of the waste is 83412.3MJ/day from where 4.63MWh electricity can be generated using conventional waste fired power plant (WTE) with efficiency 20%. Although literature study on WTE plant showed that for economically viable WTE plant the throughput must be at least 100ton/d or above which means the waste produced in the university per day is not enough for installing a feasible plant but considering whole Rajshahi town a plant of higher throughput can be installed and economically manageable. Otherwise only for environmental benefits the waste can be burned and diminished by small scale modular incinerator.
HOPE-G: A new design for gait rehabilitation robotic structure

This research focuses on the development of the two mechanical models of HOPE-G, a gait rehabilitation robot. It describes the methodological approaches for dimensioning pneumatic actuation systems and the parallel manipulator in the body weight support. Simulation results show that the operating point method balances energy efficiency and dynamic performance. Additionally, experimental tests with healthy volunteers confirm the mobility and potential effectiveness of the integrated system for gait training with a serious game. Finally, the preliminary results highlight the potential benefits of the novel structure in rehabilitation processes.
The impact of job burnout on job satisfaction and intention to change occupation among accountants: the mediating role of psychological well-being

Purpose This study aims to investigate the impact of job burnout on job satisfaction and the intention to change occupation within the accounting profession. It also examines the mediating role of psychological well-being. Design/methodology/approach A descriptive research design was used in this study. Survey data were physically collected from 230 accounting employees in the private sector. Structural equation modeling was used to test the theoretical model. Findings The results showed that job burnout significantly affects psychological well-being and that psychological well-being significantly mediates the relationship between job burnout and job satisfaction, as well as between job burnout and the intention to change occupation. Research limitations/implications This study has significant implications for accounting organizations, suggesting the adoption of strategies to promote psychological well-being. These initiatives have the potential to enhance job satisfaction and reduce accountants’ intention to change their profession. Originality/value This study contributes to the existing literature by highlighting the mediating role of psychological well-being in linking job burnout with job satisfaction and the intention to change occupation among accounting professionals.
Effect of outdoor air pollution on pulmonary function of non-smoking auto-rickshaw drivers in Bangalore

Background and Aim: Rapid industrialization and urbanization of Bangalore has led to a rise in the levels of ambient air pollution. Studies show that exposure to ambient air pollution is detrimental to health. Auto-rickshaw drivers are highly susceptible to the effects of this pollution. The aim of this study was to assess the magnitude of decrease in lung function of non-smoking auto-rickshaw drivers exposed to outdoor air pollution with relation to normal predicted values. Methods: This Cross-sectional study was done in 33 non-smoking auto-rickshaw drivers who were previously asymptomatic and driving for more than 5 years in various parts of Bangalore city in Karnataka. The following parameters of pulmonary function were assessed - FVC (L), FEV1 (L), FEV1 (%), PEFR (L/Second), MVV (L/Min), FEF50 (L/Min), FEF25-75 (L/Min) using the Helios 701 (portable) Spirometer. Statistical analysis was done using IBM statistical package for the social sciences (SPSS) Version 21. Results: There was a significant decrease (P < 0.0001) in the actual value of FVC, FEV1, PEFR, MVV, FEF50 and FEF25-75 when compared with that of the predicted value. Conclusion: Our study shows a significant impairment in the lung function of the auto-drivers with a restrictive type of lung disease.
Nitrogen wastewater irrigation study and its contamination risk analysis

Based on the nitrogen wastewater irrigation experiments carried out in the field experimental base, the movement and transformation regularities of nitrogen compound in wastewater irrigation were analyzed in this paper The results showed that wastewater irrigation had a little influence on the ammonium concentration in deep depth soil solution, but a big influence on the nitrate concentration in groundwater, especially in the soil with seriously wastewater irrigation before The mathematical model, which was developed in the paper, could be used to predict the temporal and spatial distribution of ammonium N and nitrate N in soil solution and groundwater The groundwater contamination risk analysis was conducted by using the Monte Carlo simulation techniques It is noteworthy that the maximum nitrate N concentration at 5m depth of groundwater level is predicted to be great than 0 76 times of nitrate N concentration in irrigated wastewater with 25% probability, and great than 0 43 times with 75% probability Groundwater contamination risk should be considered in wastewater irrigation
Receiver Antenna and Empirical Multipath Correction Models for GNSS Solutions

The advent of the Global Navigation Satellite Systems (GNSSs), in particular, the U.S. Global Positioning System (GPS) and the Russia’s GLObalnaya NAvigatsionnaya Sputnikovaya Sistema (GLONASS) have revolutionized geodesy by enabling a cheap and robust way of providing precise and continuous position estimates to users. Moreover, GNSSs have been shown to be extremely useful for a wide variety of other applications, in particular, geophysical, atmospheric, oceanographic studies, as well as industrial applications. Although the last two decades of GNSS exploitation were marked by great advances in accuracy and precision of the involved techniques, improvements can still be made. This thesis addresses the topic of receiver antenna and empirical multipath correction models, aiming to further improve GNSS solutions. GNSS utilizes measurement of ranges between satellites orbiting the Earth and receivers located on the Earth’s surface through modulated electromagnetic signals. However, the actual point where the signal is received and which is denoted as a phase centre of an antenna, is not fixed, but varies depending on many parameters. Therefore, high-precision GNSS fundamentally depends on antenna phase centre corrections (PCC) and failing to accurately apply the latter results in biases and elevated uncertainties of estimated GNSS solutions. Additionally, due to repeating satellite-receiver geometry, these phase centre modelling deficiencies may lead to the generation of harmonic signals in the time series of the estimated parameters. In turn, identifying geophysical signals in the time series may be compromised by the presence of these artificial signals, resulting in inaccuracies in derived models. The geodetic community employs averaged (type-mean) PCC to estimate GNSS orbits, clock biases, tropospheric delays and other parameters, as well as to realize and provide access to the terrestrial reference frame. However, the use of individual PCC is beneficial for GNSS solutions, as it allows for more accurate estimation of satellite orbits and ground station coordinates. The latter is demonstrated using a regional network of 55 GNSS stations and processing the GPS data over a period of 10 years. Another topic addressed in this thesis concerns development of empirical site models (ESMs) using post-fit phase residuals accumulated over a period of time. These models are aimed to mitigate multipath and other unmodelled site effects that have a negative impact on GNSS solutions. Using a global network of stations the derived ESMs are evaluated for their capability to improve the GPS orbit determination as well as to increase the accuracy of ground station coordinate estimation.
A CFO-Assisted Algorithm for Wireless Time-Difference-of-Arrival Localization Networks: Analytical Study and Experimental Results

Localization of wireless transmitters is traditionally done using Radio Frequency (RF) sensors that measure the propagation delays between the transmitter and a set of anchor receivers. One of the major challenges of wireless localization systems is the need for anchor nodes to be time-synchronized to achieve accurate localization of a target node. Using a reference transmitter is an efficient way to synchronize the anchor nodes Over-The-Air (OTA), but such algorithms require multiple periodic messages to achieve tight synchronization. In this paper, we propose a new synchronization method that only requires a single message from a reference transmitter. The main idea is to use the Carrier Frequency Offset (CFO) from the reference node, alongside the Time of Arrival (ToA) of the reference node messages, to achieve tight synchronization. The ToA allows the anchor nodes to compensate for their absolute time offset, and the CFO allows the anchor nodes to compensate for their local oscillator drift. Additionally, using the CFO of the messages sent by the reference nodes and the target nodes also allow us to estimate the speed of the targets. The error of the proposed algorithm is derived analytically and is validated through controlled laboratory experiments. Finally, the algorithm is validated by realistic outdoor vehicular measurements with a software-defined radio testbed.
Amphibien und Reptilien im anthropogenen Klimawandel: Was wissen wir und was erwarten wir?

There is growing concern that anthropogenic climate change may particularly affect ectotherm groups such as amphibians and reptiles. Effects of anthropogenic climate change were already observed on different levels, ranging from changes in the phenology of individuals to changes in entire populations, their demography and geographic ranges with losses and range gains. Especially the latter is exacerbated by interactions of climate change with existing risk factors such as the spread of pathogens and invasive species. In extreme cases, species are threatened by extinction, which is most likely in endemic species occupying restricted ranges. In this review, possible future climate change scenarios as well as previous observations and general expectations of climate change induced changes in phenology, demography and biogeography of amphibian and reptile species are presented. Individual case studies on climate change induced changes in demography of the common lizard as well as possible range shifts in the alpine newt are highlighted, with applied methods being discussed regarding different elements of uncertainty.
A Hybrid Approach to Intricate Motion, Manipulation and Task Planning

We propose a representation and a planning algorithm able to deal with problems integrating task planning as well as motion and manipulation planning knowledge involving several robots and objects. Robot plans often include actions where the robot has to place itself in some position in order to perform some other action or to “modify” the configuration of its environment by displacing objects. Our approach aims at establishing a bridge between task planning and manipulation planning that allows a rigorous treatment of geometric preconditions and effects of robot actions in realistic environments. We show how links can be established between a symbolic description and its geometric counterpart and how they can be used in an integrated planning process that is able to deal with intricate symbolic and geometric constraints. Finally, we describe the main features of an implemented planner and discuss several examples of its use.
Improved resolution in fiber bundle inline holographic microscopy using multiple illumination sources

Recent work has shown that high-quality inline holographic microscopy images can be captured through fiber imaging bundles. Speckle patterns arising from modal interference within the bundle cores can be minimized by use of a partially-coherent optical source such as an LED delivered via a multimode fiber. This allows numerical refocusing of holograms from samples at working distances of up to approximately 1 mm from the fiber bundle before the finite coherence begins to degrade the lateral resolution. However, at short working distances the lateral resolution is limited not by coherence, but by sampling effects due to core-to-core spacing in the bundle. In this article we demonstrate that multiple shifted holograms can be combined to improve the resolution by a factor of two. The shifted holograms can be rapidly acquired by sequentially firing LEDs, which are each coupled to their own, mutually offset, illumination fiber. Following a one-time calibration, resolution-enhanced images are created in real-time at an equivalent net frame rate of up to 7.5 Hz. The resolution improvement is demonstrated quantitatively using a resolution target and qualitatively using mounted biological slides. At longer working distances, beyond 0.6 mm, the improvement is reduced as resolution becomes limited by the source spatial and temporal coherence.
Activity of an oleanane-type tritrepenoid saponin from A. glycyphyllos on human recombinant MAO enzymes

For centuries, plants have been a leading point in the identification of potential therapeutic agents. Monoamine oxidase inhibition is a key mechanism in the treatment of various neurological and psychiatric diseases. Some triterpenoid saponins are reported to inhibit this enzyme. An extract from the aerial parts of Astragalus glycyphyllos was purified and separated by chromatographic techniques, which led to the isolation of one triterpene saponin. Its structure was analysed by ultra-high-performance liquid chromatography coupled with high-resolution electrospray ionisation mass spectrometry. The compound was subjected to a pharmacological study where human recombinant monoamine oxidase enzymes type A and B (hMAOA and hMAOB) were used. On the activity of hMAOA, the saponin had no effect, but on hMAOB, it exhibited statistically significant inhibition in comparison to the control, Selegiline. The compound could have potential in other models, so further investigations are required.
Salaft: An RFID-Based Item-Level Localization Algorithm With Fluctuation Textures

Received signal strength indicator (RSSI), the most accessible physical metric for commercial ultrahigh frequency radio frequency identification (UHF RFID) systems, is highly affected by multipath propagation, noise, and other factors, making it difficult to achieve high ranging accuracy for localization. Thus, similarity-based scene analysis algorithms become critical by the advantage of nonranging. Nevertheless, as the number of reference tags used rises, tag antenna interference emerges as a new crucial factor in further reducing localization errors. In this article, we present Salaft, a scene analysis localization algorithm with Fluctuation Textures which uses fluctuations instead of similarity as the criterion for selecting neighboring tags in localization. Salaft was compared with two of the most classical scene analysis algorithms with similarity, ${k}$ -nearest neighbor (KNN) algorithm and revised KNN algorithm (Re-KNN). Considering the effect of liquid and metal on electromagnetic (EM) wave, medicinal liquid, and metal staple are also involved as the item-level targets in testing. The experimental results show that Salaft achieves the best localization accuracy no matter in locating single target or multiple targets, indicating that the degree of fluctuation is a potentially important variable used in localization.
Oxidative DNA Damage and Zinc Status in Patients With Rheumatoid Arthritis in Duhok, Iraq

Background In patients with rheumatoid arthritis, oxidative DNA damage is increased by deficient zinc levels as well as increasing disease activity. However, the relationship between zinc levels, disease activity, and oxidative DNA damage remains unclear. In this study, we investigated serum zinc levels and disease activity and their association with 8-hydroxy-2-deoxyguanosine (8-OHdG). Methodology This case-control study was conducted among rheumatoid arthritis patients (n = 264) and healthy individuals (n = 192). Oxidative DNA damage was assessed by measuring serum 8-OHdG using enzyme-linked immunosorbent assay. Colorimetry was used to measure serum zinc levels. Disease activity was assessed using the Disease Activity Score-28 (DAS-28) score. Results Significantly higher 8-OHdG levels (p < 0.00) were found in the test group compared to the control group. Moreover, significantly lower serum zinc levels (p < 0.001) were noted in patients with rheumatoid arthritis compared to the control group. In addition, higher 8-OHdG levels were found in patients with low serum zinc levels compared to those with normal mean serum zinc levels. Lower levels of DNA oxidative damage were found in patients with moderate and low disease activity compared to those with high disease activity. A significant negative correlation was noted between serum zinc levels and DAS-28 scores and oxidative DNA damage marker (r = - 0.30, p = 0.038 and r = - 0.26, p = 0.043, respectively), while a significant positive correlation was observed between body mass index and 8-OHdG (r = 0.22, p = 0.02) in healthy individuals. Conclusions High serum 8-OHdG levels and high disease activity with low mean serum zinc levels may indicate a high degree of oxidative DNA damage in patients with rheumatoid arthritis.
Diversified Chemical Structures and Bioactivities of the Chemical Constituents Found in the Brown Algae Family Sargassaceae

Sargassaceae, the most abundant family in Fucales, was recently formed through the merging of the two former families Sargassaceae and Cystoseiraceae. It is widely distributed in the world’s oceans, notably in tropical coastal regions, with the exception of the coasts of Antarctica and South America. Numerous bioactivities have been discovered through investigations of the chemical diversity of the Sargassaceae family. The secondary metabolites with unique structures found in this family have been classified as terpenoids, phlorotannins, and steroids, among others. These compounds have exhibited potent pharmacological activities. This review describes the new discovered compounds from Sargassaceae species and their associated bioactivities, citing 136 references covering from March 1975 to August 2023.
Processing Speed and Attentional Shift/Mental Flexibility in Patients with Stroke: A Comprehensive Review on the Trail Making Test in Stroke Studies

The Trail Making Test (TMT) is one of the most commonly administered tests in clinical and research neuropsychological settings. The two parts of the test (part A (TMT-A) and part B (TMT-B)) enable the evaluation of visuoperceptual tracking and processing speed (TMT-A), as well as divided attention, set-shifting and cognitive flexibility (TMT-B). The main cognitive processes that are assessed using TMT, i.e., processing speed, divided attention, and cognitive flexibility, are often affected in patients with stroke. Considering the wide use of TMT in research and clinical settings since its introduction in neuropsychological practice, the purpose of our review was to provide a comprehensive overview of the use of TMT in stroke patients. We present the most representative studies assessing processing speed and attentional shift/mental flexibility in stroke settings using TMT and applying scoring methods relying on conventional TMT scores (e.g., time-to-complete part A and part B), as well as derived measures (e.g., TMT-(B-A) difference score, TMT-(B/A) ratio score, errors in part A and part B). We summarize the cognitive processes commonly associated with TMT performance in stroke patients (e.g., executive functions), lesion characteristics and neuroanatomical underpinning of TMT performance post-stroke, the association between TMT performance and patients’ instrumental activities of daily living, motor difficulties, speech difficulties, and mood statue, as well as their driving ability. We also highlight how TMT can serve as an objective marker of post-stroke cognitive recovery following the implementation of interventions. Our comprehensive review underscores that the TMT stands as an invaluable asset in the stroke assessment toolkit, contributing nuanced insights into diverse cognitive, functional, and emotional dimensions. As research progresses, continued exploration of the TMT potential across these domains is encouraged, fostering a deeper comprehension of post-stroke dynamics and enhancing patient-centered care across hospitals, rehabilitation centers, research institutions, and community health settings. Its integration into both research and clinical practice reaffirms TMT status as an indispensable instrument in stroke-related evaluations, enabling holistic insights that extend beyond traditional neurological assessments.