Miracle-dz/UniFAR-FTUs huggingface dataset:
Biocatalysis in biphasic systems based on ionic liquids

Biocatalytic processes find increasing applications in industry due to the high efficiency of biotransformations, and renewable nature of the enzymes and substrates. Enzymatic biocatalysis is an attractive alternative to conventional chemical catalysis, with corresponding advances now allowing a wide range of biotransformations. However, to make the enzymatic process sustainable, it is essential to separate the product and reuse the biocatalyst while maintaining its efficiency. Liquid-liquid biphasic systems appear as alternative approaches to integrate the enzymatic reaction, product recovery and reuse of the biocatalyst and phase constituents. Moreover, to expand the range of biocatalytic reactions, ionic liquids and deep eutectic solvents have emerged as alternative reaction media due to their unique properties, in particular their ability to maintain enzymes active and stable. In this chapter, we outline novel opportunities for using enzymes in biphasic systems based on ionic liquids and deep eutectic solvents and discuss the key points and scientific developments expanding the application of biocatalysis.
SEGMENTATION OF YOUNG UNIVERSITY STUDENTS ACCORDING TO THEIR ENVIRONMENTAL CONSCIOUSNESS. A SPAIN AND MEXICO CROSS-CULTURAL ANALYSIS

: The deterioration of the environment is a scientific fact that has been playing an increasingly important role in political and corporate agendas since the 1970s. We need to move to an economic model that encourage responsible consumption and the purchase of green products, growing the green consumer segment. If these strategies are to be effective, we need to understand more about consumer behaviour. Among the whole population, young university students are important because they will play the leading roles in politics and business. Through a sample of 420 Mexican students and 404 Spanish students, a survey has been conducted to describe their level of environmental consciousness. Three different segments have been identified in each country. Important similarities between the two countries can be identified, but also some differences. The results of this study can serve as a guide to design effective marketing strategies for companies and governmental organizations.
Journal of Medicine and Medical Sciences Original Investigation Work-Family conflict, Social support and Job satisfaction: A Cross-Sectional study of Nurses in Pokhara

INTRODUCTION: Research in the field of nursing has long attempted to address the issue of job dissatisfaction. However, there is scant empirical evidence on work-family conflict and social support in the context of Nepal, both of which are important factors in determining job satisfaction among nurses. Hence, this study examined the role of work-family conflict and social support in determining job satisfaction among nurses in Pokhara. MATERIALS AND METHODS: A descriptive, cross-sectional and correlational study was conducted with a purposive sample of 210 nurses from 10 (public and private) hospitals in Pokhara. Using a Likert-based self-administered structured questionnaire, work-family conflict, social support, and job satisfaction were measured using three separate scales. SPSS 21.0 was used for the correlation and regression analysis of the hypothesized relationships between the variables. RESULTS: The findings revealed that nurses’ job satisfaction was significantly lowered by family-to-work conflicts but not by work-to-family conflicts. The results also demonstrated that social support from management and peers significantly increased nurses’ job satisfaction. CONCLUSIONS: The study concluded that nurses experienced relatively low levels of work-to-family conflict. However, the responsibilities of the home can still affect their job satisfaction. The findings also revealed that social support from both management and coworkers significantly improves nurses' job satisfaction. Implications and suggestions for future study are also presented.
Ground-motion characteristics estimated from spectral ratio between horizontal and vertical components of microtremor

The spectral ratio between horizontal and vertical components (H/V ratio) of microtremors measured at the ground surface has been used to estimate fundamental periods and amplification factors of a site, although this technique lacks theoretical background. The aim of this article is to formulate the H/V technique in terms of the characteristics of Rayleigh and Love waves, and to contribute to improve the technique. The improvement includes use of not only peaks but also troughs in the H/V ratio for reliable estimation of the period and use of a newly proposed smoothing function for better estimation of the amplification factor. The formulation leads to a simple formula for the amplification factor expressed with the H/V ratio. With microtremor data measured at 546 junior high schools in 23 wards of Tokyo, the improved technique is applied to mapping site periods and amplification factors in the area.
Morphodynamic regime change induced by riparian vegetation in a restored lowland stream

With the aim to establish and understand morphological changes in response to stream restoration measures, a detailed monitoring plan was implemented in a lowland stream called Lunterse Beek, located in the Netherlands. Over a period of 1.5 yr, the monitoring 5 included serial morphological surveys, continuous discharge and water level measurements and riparian vegetation mapping. Morphological processes occurred mainly in the initial period, before riparian vegetation development. In the subsequent period, riparian vegetation started to emerge, with a maximum coverage halfway the survey period, which coincides with the end of the summer period. Detailed morphological 10 and hydrological data show a marked difference in behaviour between the unvegetated initial stage and the vegetated final period. The riparian vegetation cover, obtained from an aerial photo, shows a strong correlation with inundation frequency. We applied linear regression to relate morphological activity to time-averaged bed shear stress. In the initial stage after construction, with negligible riparian vegetation, chan15 nel morphology adjusted without a clear response to the discharge hydrograph. In the subsequent period, morphological activity in the channel bed and bank zones showed a clear response to discharge variation. The two stages of morphological response to the restoration measures reveal the role of riparian vegetation, which acts to focus the morphodynamic developments in the main channel.
Oxidative Modification of Lipoic Acid by HNE in Alzheimer Oxidative Modification of Lipoic Acid by HNE in Alzheimer Disease Brain Disease Brain

Alzheimer disease (AD) is an age-related neurodegenerative disease characterized by the presence of three pathological hallmarks: synapse loss, extracellular senile plaques (SP) and intracellular neuroﬁ-brillary tangles (NFTs). The major component of SP is amyloid b -peptide (A b ), which has been shown to induce oxidative stress. The AD brain shows increased levels of lipid peroxidation products, including 4-hydroxy-2-nonenal (HNE). HNE can react covalently with Cys, His, or Lys residues on proteins, altering structure and function of the latter. In the present study we measured the levels of the HNE-modiﬁed lipoic acid in brain of subjects with AD and age-matched controls. Lipoic acid is a key co-factor for a number of proteins including pyruvate dehydrogenase and a -ketoglutarate dehydrogenase, key complexes for cellular energetics. We observed a signiﬁcant decrease in the levels of HNE-lipoic acid in the AD brain compared to that of age-matched controls. To investigate this phenomenon further, the levels and activity of lipoamide dehydrogenase (LADH) were measured in AD and control brains. Additionally, LADH activities were measured after in-vitro HNE-treatment to mice brains. Both LADH levels and activities were found to be signiﬁcantly reduced in AD brain compared to age-matched control. HNE-treatment also reduced the LADH activity in mice brain. These data are consistent with a two-hit hypothesis of AD: oxidative stress leads to lipid peroxidation that, in turn, causes oxidative dysfunction of key energy-related complexes in mitochondria, triggering neurodegeneration. This study is consonant with the notion that lipoic acid supplementation could be a potential treatment for the observed loss of cellular energetics in AD and potentiate the antioxidant defense system to prevent or delay the oxidative stress in and progression of this devastating dementing disorder. & 2013 The Authors. Published by Elsevier B.V. All rights reserved.
Velocity-density relations for deepwater subsalt Gulf of Mexico shales

Rock physics studies based on incomplete data sets often employ empirical relations such as Gardner’s relation between density and P-wave velocity, or Castagna’s mudrock line between Pand S-wave velocities. However, such relations are inappropriate when they disagree with measured data. In this study, P-wave velocity, S-wave velocity and density data for mudrocks in two vertical subsalt wells in the deepwater Green Canyon area of the Gulf of Mexico are shown to deviate appreciably from these empirical relations. By contrast, a rock physics model based on effective field theory not only gives a good description of the data, but also allows the effective pore aspect ratio to be estimated.
Immersive AR Landmark-Based Campus Wayﬁnding Solution With Focus on People With Navigation Difﬁculties

The focus of this study is to develop an indoor navigation solution for use on a mobile device to help students, especially those with navigation difﬁculties, better navigate their environment independently and with conﬁdence. This research employed mixed methods, including expert interviews and case studies, to better understand the wayﬁnding experience of students or faculty (particularly those with navigation difﬁculties) and to gain a comprehensive perspective on campus wayﬁnding experiences. A mobile app, “ BeachLead ,” was developed on the iOS platform. BeachLead is a landmark-based Augmented reality (AR) wayﬁnding platform that helps students navigate indoor spaces on campus. Students can follow landmarks to ﬁnd their destination and trace their way back to the ﬁrst position. This platform gamiﬁes navigation by allowing students to hit the targets (landmarks) and embed little moments of fun during their route. Using this platform will improve the campus navigation experience, increase environmental awareness, and reduce stress and cognitive load. The data and navigation prototype will be shown and discussed.
Spatial Pattern and Genetic Diversity of Marine Bacterial Communities of Coastal Seawater and Sediments from Qatar

Severe environmental conditions can have a diverse impact on marine microorganisms, including bacteria. This can have an inevitable impact on the biofouling of membrane-based desalination plants. In this work, we have utilized the indicator bacteria such as total coliform, fecal coliform, and Pseudomonas aeruginosa and 16S rRNA sequencing to investigate the impact of environmental conditions and spatial variations on the diversity of bacterial communities in the coastal waters and sediments from selected sites of Qatar over different seasons. The concentration levels of indicator bacteria were affected by increasing temperature and pH and decreasing salinity of seawater samples. Diversity indices and the molecular phylogeny demonstrated that Proteobacteria, Bacteroidetes, and Cyanobacteria were the dominant phyla in all locations. The most abundant operational taxonomic units (OTUs) at the family level were from Flavobacteriaceae (27.07%, 4.31%) and Rhodobacteraceae (22.51%, 9.86%) in seawater and sediments, respectively. Alphaproteobacteria (33.87%, 16.82%), Flavobacteria (30.68%, 5.84%), Gammaproteobacteria (20.35%, 12.45%) were abundant at the species level in both seawater and sediment, respectively, while Clostridia (13.72%) was abundant in sediment only. Results suggest that the sediments can act as a reservoir for indicators of bacteria with higher diversity and lower abundance as compared to seawater. This study helps to understand the impact of environmental conditions on the diversity and structural behavior of microbial communities speci�c to the marine environment of the Arabian Gulf.
Four new hypogean species of the genus Triplophysa (Osteichthyes, Cypriniformes, Nemacheilidae) from Guizhou Province, Southwest China, based on molecular and morphological data

﻿Abstract Recently described cave species of the genus Triplophysa have been discovered in southwestern China, suggesting that the diversity of the genus is severely underestimated and that there may be many undescribed species. In this work, four new species of the genus Triplophysa are described from southwestern Guizhou Province, China, namely Triplophysacehengensis Luo, Mao, Zhao, Xiao & Zhou, sp. nov. and Triplophysarongduensis Mao, Zhao, Yu, Xiao & Zhou, sp. nov. from Rongdu Town, Ceheng County, Guizhou, Triplophysapanzhouensis Yu, Luo, Lan, Xiao & Zhou, sp. nov. from Hongguo Town, Panzhou City, Guizhou, and Triplophysaanlongensis Song, Luo, Lan, Zhao, Xiao & Zhou, sp. nov. from Xinglong Town, Anlong County, Guizhou. These four new species can be distinguished from all recognized congeners by a combination of morphological characteristics and significant genetic divergences. The discovery of these species increases the number of known cave species within the genus Triplophysa to 39, making the genus the second most diverse group of cave fishes in China after the golden-line fish genus Sinocyclocheilus. Based on the non-monophyletic relationships of the different watershed systems in the phylogenetic tree, this study also discusses the use of cave species of the genus Triplophysa to determine the possible historical connectivity of river systems.
Self-Regulated Learning and it’s E(cid:27)ect on Reading Achievement: Analysis of Lithuania’s Participation in PISA 2018

The aim of this thesis was to investigate the Programme of International Student Assessment (PISA) 2018 data from Lithuania, apply self-regulated learning theory to the data, and evaluate the e(cid:27)ect and signi(cid:28)cance of self-regulated learning skills on reading literacy in Lithuania. This involved building a two-level hierarchical linear model and comparing the results obtained in Lithuania with those from Latvia and Estonia. Results revealed signi(cid:28)cance of certain self-regulated learning elements for reading literacy, and highlighted Lithuania’s di(cid:27)erences from Latvia and Estonia. The (cid:28)ndings of this analysis may lead to further investigation into the speci(cid:28)c factors that contribute to the di(cid:27)erences between Baltic countries in terms of self-regulation, particularly why Lithuanian students tend to be weaker in this area.
The Individual Day-to-Day Process of Social Anxiety in Vulnerable The Individual Day-to-Day Process of Social Anxiety in Vulnerable College Students College Students

Transitions requiring the creation of new social networks may be challenging for individuals vulnerable to social anxiety, which may hinder successful adjustment. Using person-specific methodology, this study examined social anxiety in vulnerable university freshman away from home during their first semester of college to understand how day-to-day processes of social anxiety influenced future social anxiety and social withdrawal. Participants completed daily measures of four components of social anxiety which were examined as a process during a single day, and as a process affecting social anxiety and social withdrawal the next day. For most individuals, same day fear of negative evaluation was associated with maladaptive cognitive processes (anticipatory processing and post-event rumination) and influenced social withdrawal behaviors. Across time relations were less robust and varied between participants suggesting the importance of situational factors and individual differences. These findings may have implications for the effectiveness of various intervention strategies.
Squibs and Discussions: Nonminirnal Derivations in Unification-based Parsing

Shieber's abstract parsing algorithm (Shieber 1992)for unification grammars is an extension of Earley's algorithm (Earley 1970)for context-free grammars to feature structures. In this paper, we show that, under certain conditions, Shieber ' s algorithm produces what we call a nonminimal derivation: a parse tree which contains additional features that are not in the licensing productions. While Shieber's definition of parse tree allows for such nonminimal derivations, we claim that they should be viewed as invalid. We describe the sources of the nonminimal derivation problem, and propose a precise definition of minimal parse tree, as well as a modification to Shieber's algorithm which ensures minimality, although at some computational cost.
A BIBLIOMETRIC ANALYSIS OF TWENTY-EIGHT YEARS ON ‘ASSESSING PRONUNCIATION IN ENGLISH AS A SECOND/FOREIGN LANGUAGE CLASSES’

This bibliometric study examines the characteristics of the overall research trends, patterns of productivity, and publications on “assessment in second language pronunciation”. Bibliometric data were retrieved from Web of Science (WoS on 1 September 2021 and the results of the study reveal that the first publication appeared in 1993 and, during the period of 28 years, there have been 118 publications between 1993 and 2021 in total. It was found that studies in this field have increased in recent years. The publications include articles and proceeding papers written by 2.31 authors per publication. The most cited document received 139 citations. It was also discovered that the most frequently used word is intelligibility and the trending topic is pronunciation. As for the affiliations, the most productive university is Concordia University in Canada. In the following headings, detailed information is discussed in detail.
In-Plane Wave Propagation Analysis of Human Breast Lesions Using a Higher-Order Nonlocal Model and Deep Learning

The wave propagation characteristics of biological tissues are of high importance in improving healthcare technologies and can be used as an early clinical indicator of many diseases. However, the current mathematical models that describe the mechanical properties of biological tissues do not account for the difference in softening and hardening observed at different scales and this limits their utility in biomedical imaging. In this paper, a higher-order nonlocal model is developed to study in-plane wave propagation in healthy, benign, and cancerous breast tissues. To verify the mathematical approach, finite element simulations are conducted. Furthermore, a sequential deep neural network model of feedforward type with multiple hidden layers is developed to understand the intrinsic in-plane wave characteristics of breast tissues. The deep learning algorithm shows potential in accurately extracting the frequencies and phase velocities of breast lesions under in-plane waves even when there is a limited number of clinical samples. Using the higher-order nonlocal model, significant differences between healthy fibroglandular tissue and early breast cancer in the form of ductal carcinoma in situ have been found. The combination of nonlocal and strain gradient parameters allows for the concurrent incorporation of stiffness hardening and softening, solving the rigid-tumour–soft-cell paradox of cancer biomechanics.
USING PARALLEL ANALYSIS TO VALIDATE THE CLANCE IMPOSTER PHENOMENON SCALE

The most widely used instrument for identifying imposter syndrome is the Clance Imposter Phenomenon Scale (CIPS). Although the factor structure of CIPS has been checked in many research papers, using confirmatory factor analysis, so far no check has been made using parallel analysis. The aim of present study is to determine the factor structure of CIPS by applying parallel analysis. Both versions of the instrument have been tested, the 20-item version and the 16-item version. Parallel analysis, in this study, shows the justification of retaining a two-factor structure for the 20-item version or a one-factor solution for the 16-item version. In addition to being able to help determine the number of factors and components, parallel analysis in this case helped to come up with a solution proposal for decision about a version of the instrument that could measure imposter syndrome with a single score.
Beyond the bell: exploring the link between time allocation on extracurricular activities and academic performance in Chinese adolescents

ABSTRACT Academic performance could have an impact on job trajectories and socioeconomic status for societies in the future. However, only a few studies have focused on the impact of time allocation on extracurricular activity strategies. Based on that observation, we recruited 91,161 school students from 451 primary, middle, and high schools in China, and used a cross-sectional compositional data analysis approach to investigate the linkage between extracurricular activities and time allocation strategies and academic performance. Our study found that, in general, a suitable daily sleep routine is of primary importance in improving students’ academic performance. Additionally, daily exercise appears to be able to significantly facilitate higher academic performance. it’s important to note that exercising while sleep-restricted may have adverse effects. The most effective way to improve student academic performance proves to be reducing the time spent playing video games and watching short videos and replacing it with hours of sleep or exercise.
Text-driven Tree Modeling on L-System

Text-driven methods have recently gained substantial attention in the realm of image and 3D model generation. A critical aspect of these methods is CLIP (Contrastive Language-Image Pre-training), which computes semantic similarities between input texts and resultant images. This paper introduces a text-driven approach to tree modeling, adopting an optimization technique with CLIP. Tree models are generated through L-System. We adopt genetic algorithms for optimization, determining fitness through CLIP. The efficacy of our method is demonstrated through various examples.
Real-Time 3-D Force Measurements Using Vision-Based Flexible Force Sensor

This article presents the design and application of a vision-based flexible 3-D force sensor, specifically designed for force measurement in the field of instrument measurement. The sensor utilizes visual information, employing highly elastic silicone as the contact surface and continuous marker patterns as the visual data source. By integrating a vision system, the sensor captures image data and relies on a novel deep learning model to achieve precise measurements of 3-D forces. Experimental evaluation was conducted to assess the sensor’s performance, demonstrating its exceptional fitting performance with a minimum mean squared error of 0.15 N. Moreover, the flexible sensor exhibits excellent real-time decoupling capabilities for 3-D forces at a frequency rate of 30 Hz for three orthogonal force components. We embedded the sensor into a mechanical gripper and successfully achieved self-adaptive force grasping, verifying its effectiveness in accurately measuring 3-D forces in the instrument measurement environment. The proposed vision-based flexible 3-D force sensor presents an innovative solution for force sensing applications in robotics and related fields. Its compact design, high fitting performance, and real-time decoupling capabilities make it a valuable tool for enhancing the accuracy and versatility of force sensing systems in various practical instrument measurement scenarios.