Miracle-dz/UniFAR-FTUs huggingface dataset:
OPTYMISATION OF THE DECISION-MAKING PROCESS RELEVANT TO THE CHOICE OF AGRICULTURAL MACHINES USING THE AHP METHOD

The aim of the study was to evaluate the usefulness of the analytic hierarchy process (AHP) for the ranking of a finite set of agricultural machines from the point of view of their quality and purchase costs. The experiments comprised three after-harvest cultivators of similar operational-economic parameters. Relative values of the assessed machines as well as of weights of their criteria were determined by means of a pair comparison method. The results of the performed comparisons made it possible to calculate a complex index (global priority) for each machine in the form of a decimal fraction from 0-1 interval. Values of these indices provide the basis for the ordering of the set of machines and indicating the optimal machine with the highest significance. In the course of experiments, Expert Choice computer software was employed which is in-tended for aiding decisions prepared in accordance with the AHP method.
Bayesian Versus Frequentist Estimation for Item Response Theory Models of Interdisciplinary Science Assessment

for Item ABSTRACT Along with the trend emphasizing ID learning, ID assessments to measure students ’ ID understanding have been developed by several scholars. The interdisciplinary science assessment for carbon cycling (ISACC) was developed to assess ID understanding among high school and college students in integrating knowledge from different science disciplines to explain a scientific phenomenon, global carbon cycling. The ISACC ’ s construct validity was checked using traditional item response theory (IRT) models in 2021. The current study was motivated by the desire to reveal the difference in IRT analysis results of the ISACC using a Bayesian approach in comparison with the results using the traditional approach. The Bayesian approach has several strengths over the traditional IRT. The results of the study imply the need for additional research for the development and validation of interdisciplinary science assessments through strong psychometric properties.
Thiopentone sodium versus propofol for anaesthesia in modified electro-convulsive therapy (ECT)

Objectives: To compare the effects of thiopentone sodium and propofol as an intravenous anaesthetic agent in modified ECT. Methods: 100 patients of ASA I & II grade were randomly assigned in to two groups. Both groups were premedicated in ususal manner. Patients in Group A were induced with inj. thiopentone sodium 3-5mg/kg and in Group B inj. Propofol 1.5-2mg/kg. Then, Inj. Succinyl choline 0.5-1mg/kg was given. Patients were ventilated with 100% oxygen with bain circuit and mask. Shock was given after putting bite block. Patients were again ventilated till spontaneous respiration after seizures. Results: Propofol is better induction agent as compared to thiopentone sodium in terms of faster induction, better haemodynaemic stability, no significant effect on seizure duration, early recovery without any side effects. Conclusion: Propofol in the dosage of 1.5-2 mg/kg body weight intravenously can be safely used for modified ECT in ASA grade I and II pateints. Fast, smooth induction, better hemodynamics, early smooth recovery, antiemetic property and uncompromised therapeutic outcome makes propofol as an agent of choice for day care procedure. Though there is reduced seizure duration with Propofol as compared to thiopentone, there is no effect on outcome of the therapy or effectiveness of ECT.
Observational Results of Full-Disc Helioseismology

Ever since the discovery of the low-degree p modes was announced by Claverie et al. (1979), full-disc helioseismology - seismology of the Sun based on the study of sunlight integrated across the entire disc - has contributed very significantly to our understanding of the deep solar interior and the origin and nature of the oscillation modes which probe it. This paper touches on the principal observational techniques used for full-disc helioseismology and outlines key results and their implications.
ECG-ViT: A Transformer-Based ECG Classifier for Energy-Constraint Wearable Devices

The advancement in deep learning techniques has helped researchers acquire and process multimodal data signals from different healthcare domains. Now, the focus has shifted towards providing end-to-end solutions, i.e., processing these data and developing models that can be directly implemented on edge devices. To achieve this, the researchers try to solve two problems: (I) reduce the complex feature dependencies and (II) reduce the complexity of the deep learning model without compromising accuracy. In this paper, we focus on the later part of reducing the complexity of the model by using the knowledge distillation framework. We have introduced knowledge distillation on the Vision Transformer model to study the MIT-BIH Arrhythmia Database. A tenfold crossvalidation technique was used to validate the model, and we obtained a 99.7% F1 score and 99.3% accuracy. The model was further tested on the Xilinx Alveo U50 FPGA accelerator, and it is found fit for any low-powered wearable device implementation.
College English Multimodal Teaching Based on Digital Information Technology

In the era of in-depth application of knowledge technology in the field of education, the teaching mode combining school English teaching and network data technology is widely used in school English education. Teaching resources have become electronic resources under the influence of digital information technology. However, English teaching often ignores all aspects of English ability, so there are still shortcomings in English teaching. The role of information technology makes a single English teaching text model unable to meet the needs of scholars. In recent years, multimodal events have enriched the expression of language input and output content, which is in line with the learning needs of current students. Therefore, under the premise of digital information technology, this paper constructs a multimodal English teaching model from the aspects of multimodal English teaching resources, multimodal English teaching activities, and multimodal English teaching analysis. It aims to mobilize the enthusiasm of scholars to learn English from various aspects and build a multimodal teaching mode of English for teachers supported by digital data technology. Therefore, the experiment shows that the multimodal teaching mode of college English based on digital information technology proposed in this paper will mobilize the enthusiasm of students to learn in a comprehensive way. It greatly improves students' English performance, promotes the development of students' autonomous learning ability and comprehensive language ability, and improves the quality of English teaching by 20%.
‘At home’ with alcohol: new insights into young people’s domestic practices in China

ABSTRACT This article focuses on three types of domestic alcohol practices: drinking at home, accommodating alcohol products, and crafting alcohol drinks. It explores how Chinese young people associate their emotional, creative, and embodied experiences with domestic alcohol consumption and how the social and material space of home shapes their alcohol-related practices, drawing on a qualitative analysis. We argue that domestic alcohol practices shaped by diverse dwelling patterns can (re)produce the socio-cultural structures and multiplex spatiotemporalities of home. This article can contribute to geographies of alcohol in the domestic sphere by a deep investigation of the relationship between people, the socio-material space of home, alcohol-related practices, and the plural meanings of domestic lives from a non-Western perspective. It can also develop the relational geographies of domestic lives through a nuanced understanding of Chinese young people’s relational knowledge, imaginaries and practices that constitute the interplay between alcohol practices and the social, material and atmospheric aspects of home-making.
Acoustic wavefield and Mach wave radiation of flashing arcs in strombolian explosion measured by image luminance

Explosive activity often generates visible flashing arcs in the volcanic plume considered as the evidence of the shock‐front propagation induced by supersonic dynamics. High‐speed image processing is used to visualize the pressure wavefield associated with flashing arcs observed in strombolian explosions. Image luminance is converted in virtual acoustic signal compatible with the signal recorded by pressure transducer. Luminance variations are moving with a spherical front at a 344.7 m/s velocity. Flashing arcs travel at the sound speed already 14 m above the vent and are not necessarily the evidence of a supersonic explosive dynamics. However, seconds later, the velocity of small fragments increases, and the spherical acousto‐luminance wavefront becomes planar recalling the Mach wave radiation generated by large scale turbulence in high‐speed jet. This planar wavefront forms a Mach angle of 55° with the explosive jet axis, suggesting an explosive dynamics moving at Mo = 1.22 Mach number.
Two years of the pandemic: Impact of COVID-19 on tuberculosis management in Nigeria

Tuberculosis case recognition and plotting is a key strategy employed by the National Tuberculosis and Leprosy Control Program in Nigeria to curtail the increasing gap of tuberculosis cases. Nigeria recorded its first case of COVID-19 in late January 2020, and since then Nigeria has currently recorded 255,753 confirmed cases with 3,143 deaths. It has currently recorded 2,699 new cases, as of 2 May 2022, among tuberculosis patients. Since the emergence of coronavirus, there has been a progressive decrease in clinic attendance and tuberculosis identification, detection, mapping, and management. The COVID-19 pandemic has impacted negatively on tuberculosis patients’ services in Nigeria as well as the nutritional status of tuberculosis patients. The present review summarizes the impact of COVID-19 on the tuberculosis epidemic in Nigeria. The tuberculosis program could maximize potential resources employed to combat the pandemic, such as digital health technology and funds, and work toward strengthening the patient-centered approach of care to limit the challenges that COVID-19 presents to tuberculosis control © 2022. Anigbo and Gambhir. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)
The Impact of HRM Digitalization on Employee Performance in the RMG Industry of Bangladesh

Human resource management (HRM) practices can have a big impact on how well employees perform in the aspects of both in-role and extra-role performance. The impact of various HRM methods, notably the digitization of HRM practices, on the in-role and extra-role performance of employees working in the ready-made garment business has not yet been examined in the context of Bangladesh. Therefore, this study's main objective was to investigate the impact of human resource management digitalization on employees' in-role and extra-role performance in the context of Bangladeshi ready-made garment (RMG) enterprises. Using the 25th version of the Statistical Package for The Social Sciences (SPSS), the study investigated the opinions of the employees working in various departments of RMG companies in Bangladesh. It sought to determine how certain digitalized HRM practices, particularly e-recruitment and selection, e-training and development, e-performance appraisal and management, e-compensation management, e-complaints management, e-communication management, e-career management, etc., have an impact on both in-role and extra-role employee performances. Findings of this study indicated that, though certain digitalized HRM practices like e-compensation management and e-career impact significantly on employee extra-role performance they contribute insignificantly on employee in-role performance. Additionally, it has been found that e-performance appraisal management has a significant positive impact on the in-role performance of the employees. The study also made an effort to advise management body of the RMG firms to digitalize some HRM procedures that can improve employee and organizational performance.
A Spectroscopic Comparison of Femtosecond Laser Modified Fused Silica using kHz and MHz Laser Systems.

Waveguides were written in fused silica using both a femtosecond fiber laser with a 1 MHz pulse repetition rate and a femtosecond amplified Ti:sapphire laser with a 1 kHz repetition rate. Confocal Raman and fluorescence microscopy were used to study structural changes in the waveguides written with both systems. A broad fluorescence band, centered at 650 nm, associated with non-bridging oxygen hole center (NBOHC) defects was observed after waveguide fabrication with the MHz laser. With the kHz laser system these defects were only observed for pulse energies above 1 {mu}J. Far fewer NBOHC defects were formed with the MHz laser than with kHz writing, possibly due to thermal annealing driven by heat accumulation effects at 1 MHz. When the kHz laser was used with pulse energies below 1 {mu}J, the predominant fluorescence was centered at 550 nm, a band assigned to the presence of silicon clusters (E{prime}{sub {delta}}). We also observed an increase in the intensity of the 605 cm{sup -1} Raman peak relative to the total Raman intensity, corresponding to an increase in the concentration of 3-membered rings in the lines fabricated with both laser systems.
Development and Teaching Application of Interactive Virtual Algorithm Animation of C Language Program

In today's world, almost every domain has certain and mandatory requirements to understand at least one of the programming languages which is defined as a way of interaction with a computer to resolve real world problems or more specifically for the implementation of algorithms. Language programming is a course with strong theory and practice. In view of the fact that C language beginners in colleges and universities generally report that it is difficult to learn well due to various reasons. Therefore, in this paper, we have discussed the development and teaching of interactive virtual animation of C language programs. The proposed approach relies on a typical recursive algorithm case to analyze the teaching strategy of virtual algorithm animation brought into the classroom, the application in the algorithm teaching of C language and the teaching strategy in improving students' understanding of abstract knowledge using computer C language program interactive virtual animation development and implementation of the teaching system is the research content. According to the basic flow of the interactive virtual algorithm of the C language program, a reasonable system structure design is carried out.
WeChat-Based Comprehensive Education on Egg White Protein Intake for Patients Undergoing Peritoneal Dialysis: A Combined Prospective and Retrospective Study

Protein malnutrition is a well-described complication of peritoneal dialysis (PD), a standard mode of treatment for end-stage renal disease (ESRD), and contributes to morbidity, treatment failure, and mortality. To assess the usefulness of WeChat-based education for ensuring optimal protein intake through the consumption of egg white protein, 140 young and middle-aged patients undergoing PD are assigned to either the intervention group or the control group. The results show that reinforcing comprehensive PD education using WeChat can improve nutritional parameters, clinical parameters, and quality of life.
Comparison Methods for Stochastic Models and Risks

Preface. Univariate Stochastic Orders Theory of Integral Stochastic Orders Multivariate Stochastic Orders Stochastic Models, Comparison and Monotonicity Monotonicity and Comparability of Stochastic Processes Monotonicity Properties and Bounds for Queueing Systems Applications to Various Stochastic Models Comparing Risks. List of Symbols. References. Index.
Hasse Diagrams, Poset Theory and Fuzzy Poverty Measures.

In recent years, it has become evident that pure monetary measures cannot represent the poverty phenomenon faithfully. Poverty involves many different aspects of life that can be hardly condensed in a single monetary indicator. People can be poor in different ways, at different degrees and from several points of view. In this perspective, fuzzy multidimensional indicators have been proposed to measure material deprivation and the degree of membership of an individual to the set of poor. Actually, the statistical procedures used to build membership functions do not seem to be fully consistent. In this paper, we suggest that partially ordered set theory can provide new tools to develop fuzzy poverty measures on a sound basis. Particularly, we show how multidimensional poverty data can be modelled as a partially ordered set, whose linear extensions can provide consistent criteria in view of membership functions definition.
Modulus Consensus over Networks with Antagonistic Interactions and Switching Topologies

In this paper, we study the discrete-time consensus problem over networks with antagonistic and cooperative interactions. Following the work by Altafini [IEEE Trans. Automatic Control, 58 (2013), pp. 935--946], by an antagonistic interaction between a pair of nodes updating their scalar states we mean one node receives the opposite of the state of the other and naturally by an cooperative interaction we mean the former receives the true state of the latter. Here the pairwise communication can be either unidirectional or bidirectional and the overall network topology graph may change with time. The concept of modulus consensus is introduced to characterize the scenario that the moduli of the node states reach a consensus. It is proved that modulus consensus is achieved if the switching interaction graph is uniformly jointly strongly connected for unidirectional communications, or infinitely jointly connected for bidirectional communications. We construct a counterexample to underscore the rather surprising fact that quasi-strong connectivity of the interaction graph, i.e., the graph contains a directed spanning tree, is not sufficient to guarantee modulus consensus even under fixed topologies. Finally, simulation results using a discrete-time Kuramoto model are given to illustrate the convergence results showing that the proposed framework is applicable to a class of networks with general nonlinear node dynamics.
On the stability of some imaging functionals

This work is devoted to the stability/resolution analysis of several imaging functionals in complex environments. We consider both linear functionals in the wavefield as well as quadratic functionals based on wavefield correlations. Using simplified measurement settings and reduced functionals that retain the main features of functionals used in practice, we obtain optimal asymptotic estimates of the signal-to-noise ratios depending on the main physical parameters of the problem. We consider random media with possibly long-range dependence and with a correlation length that is less than or equal to the central wavelength of the source we aim to reconstruct. This corresponds to the wave propagation regimes of radiative transfer or homogenization.
Can COVID-19 Lockdown Reduce Crimes Against Women? A District- Level Analysis from India

In response to controlling the COVID-19 pandemic, the Indian government implemented a nationwide lockdown on 24 March 2020. We study the effect of lockdown on crimes against women. Using district-level panel data from 457 districts in India for five months (before, during and post-lockdown), we examine the interaction effect of COVID-19 containment zones and lockdown on crimes against women. Results suggest a differential impact of the lockdown on crime across different containment zones. Compared to the most COVID-19 affected zone, the less affected zones show a larger fall in crimes against women due to the imposition of a lockdown. JEL Codes: C33, J16, J78
Creation of high energy bremsstrahlung and intensity by a multitarget and refocusing of the scattered electrons by small-angle backscatter at the wall of a cone and magnetic fields

The yield of bremsstrahlung from collisions of fast electrons (energy at least 6 MeV) with a tungsten target can be significantly improved by exploitation of Tungsten wall scatter in a multi-layered target. The Tungsten wall can serve to refocuse small angle scattered electrons. It is necessary that the thickness of one Tungsten layer does not exceed 0.02 mm. Further refocusing of electrons results from suitable magnetic fields with field strength between 0.5 Tesla and 6 Tesla (if the cone with multi-layered targets is rather narrow). Linear accelerators in radiation therapy only need refocusing by wall scatter without further magnetic fields (standard case: ca. 100 - 000 plates with 0.01 mm thickness and 1 mm distance between the plates). The construction of a very narrow bremsstrahlung beam with extremely high photon intensity requires an additional strong magnetic field (order 1 - 6 Tesla), which provides the possibility to check Heisenberg-Euler scatter of high energy photons.
Visualising Network Anomalies in an Unsupervised Manner Using Deep Network Autoencoders

— As network data continues to grow in volume, it is important that network administrators have the tools to be able to identify anomalous network flows and malicious activity. However, it is just as important that tools allow the administrator to visualise this activity in relation to other benign activity. As such, this paper will propose a method to not only identify malicious activity, but also visualise the activity and how it relates to other network activity (both benign and malicious).
Women in the Fab Lab ecosystem (2008-2021). From Fab Academy to the Fab Lab Research Conferences

Fab Lab ecosystem are conducive to the integration of women with an interest in STEM areas, enhancing opportunities in different areas of engineering and related disciplines. This integration is not only from practical research, but also in scientific production. To identify the presence of women in the Fab Lab ecosystem, a quantitative analysis was carried out, identifying two contexts: Fab Academy between 2008 and 2021, and Fab Lab Research Papers between 2012 and 2019. The results reveal aspects that benefit the presence of women, supported by the Fab Labs project-based learning model, which does not distinguish between genders and promotes collaboration, experimentation and knowledge exchange, among others. Similarly, new ways to become aware of technology are identified, which prioritizes interdisciplinary, through regional and global activities. Based on this analysis, the Fab Labs ecosystem is expected to further promote the presence of women as key actors, promoting their vision, analysis and dedication; and promoting their participation in instances of "doing" from practical experimentation and writing what is "done" from written production.