Miracle-dz/UniFAR-FTUs huggingface dataset:
Phylogenetic analyses of ribosomal transcription units from Haplorchis taichui and H. pumilio species of Heterophyidae (Platyhelminthes: Opisthorchiata)

Heterophyidiasis caused by minute intestinal flukes becomes of public concern in many countries worldwide. Haplorchis taichui and H. pumilio, belonging to the family Heterophyidae (Platyhelminthes: Trematoda) are two of many infecting humans and commonly found in Vietnam. Sequence study of these two small intestinal flukes is still very limited, hence we need more prospective markers for taxonomic identification and classification. This study provides complete coding sequence of the ribosomal transcription units (rTU) from H. taichui and H. pumilio (Vietnamese samples) and demonstrates the use of complete 28S rDNA sequences for phylogenetic analysis.The complete coding sequence of the rTU (from 5' 18S to 3' 28S), consisting of complete 18S, ITS-1, 5.8S, ITS2 and complete 28S rRNA genes and spacers, from H. taichui (7,268 bp) and H. pumilio (7,416 bp) from human hosts in Vietnam, were determined and annotated. The 18S and 5.8S genes of both species were of the same length (1,992 bp/18S, 160 bp/5.8S), but 28S genes differed (3,875 bp/H. taichui and 3,870 bp/H. pumilio). ITS-1 in H. taichui (797 bp) and ITS-2 in H. pumilio (280 bp) do not contain tandem repeat units (TRUs), while ITS-1 in H. pumilio (1,106 bp) contains 3 TRUs of 136 bp/each and 2 TRUs of 116 bp/each and ITS-2 in H. taichui (444 bp) contain 3 TRUs (83–85 bp/each). A phylogenetic tree inferred from the alignment of complete 28S rDNA sequences of 32 trematode strains/species, including 2 Vietnamese Haplorchis spp. and 24 species of 8 families in the suborders Xiphidiata (families Nanophyetidae, Paragonimidae, Collyriclidae), Opisthorchiata (Heterophyidae, Opisthorchiidae), and Echinostomata (Echinostomatidae, Fasciolidae). and Schistosoma japonicum of the family Schistosomatidae is used as an outgroup. The topology of the phylogenetic tree clearly confirmed the status of the Vietnamese H. taichui and H. pumilio species. These species gathered in a group (in the family Heterophyidae) clearly identified in the position of "sister” group to those in the family Opisthorchiidae (suborder Opisthorchiata, superfamily Opisthorchioidea).
Researches on Adaptive Cruise Control system: A state of the art review

Adaptive Cruise Control (ACC) is one of Advanced Driver Assistance Systems (ADAS) which takes over vehicle longitudinal control under necessary driving scenarios. Vehicle in ACC mode automatically adjusts speed to follow the preceding vehicle based on evaluation of the surrounding traffic. ACC reduces drivers’ workload as well as improves driving safety, energy economy, and traffic flow. This article provides a comprehensive review of the researches on ACC. Firstly, an overview of ACC controller and applied control theories are introduced. Their principles and performances are discussed. Secondly, several application cases of ACC control algorithms are presented. Then validation work including simulation, Hardware-in-the-Loop (HiL) test and on-road experiment is descripted to provide ideas for testing ACC systems for different aims and fidelities. In addition, studies on human-machine interaction are also summarized in this review to provide insights on development of ACC from the perspective of users. At last, challenges and potential directions in this field is discussed, including consideration of vehicle dynamics properties, contradiction between algorithm performance and computation as well as integration of ACC to other intelligent functions on vehicles.
Effect of a Protestant Work Ethic on Burnout: Mediating Effect of Emotional Dissonance and Moderated Mediating Effect of Negative Emotion Regulation

This study examined the effect of the Protestant work ethic on burnout using a sample of 259 South Korean workers from a manufacturing firm. We also investigated the mediating role of emotional dissonance on this effect and addressed the moderating and moderated mediating roles of negative emotion regulation on the relationship between Protestant work ethic and emotional dissonance. Our empirical results indicated a significant direct negative effect of the Protestant work ethic on burnout, but there was no evidence of an indirect relationship between these. Results also found that negative emotion regulation changed the relationship between Protestant work ethic and emotional dissonance. In addition, negative emotion regulation changed the mediating role of emotional dissonance in the relationship between Protestant work ethic and burnout. The study is meaningful in that it grasped the importance of value as a major factor in job burnout, and it finally confirmed the antecedents of Koreans’ diligence.
The fate aspects of pharmaceuticals in the environment : biotransformation, sedimentation and exposure of fish

Lahti, Marja The fate aspects of pharmaceuticals in the environment – Biotransformation, sedimentation and exposure of fish Jyvaskyla: University of Jyvaskyla, 2012, 76 p. (Jyvaskyla Studies in Biological and Environmental Science ISSN 1456-9701; 239) ISBN 978-951-39-4728-6 (nid.) ISBN 978-951-39-4729-3 (PDF) Yhteenveto: Laakeaineiden ymparistokohtalo – Biotransformaatio, sedimentaatio ja kalojen altistuminen Diss. Pharmaceuticals are bioactive chemicals that are mostly released to the environment via municipal wastewater treatment plants. Although they are widely detected in surface waters, the environmental fate and exposure of biota are still largely unknown. The results in this thesis show that microbial transformation was more efficient under aerobic than anaerobic conditions, however large differences were found between three pharmaceuticals studied experimentally. Diclofenac was recalcitrant, bisoprolol partially biotransformed and naproxen readily biodegradable. Many pharmaceuticals were present in settleable particulate material collected from the vicinity of four wastewater treatment plants in Finland. Cationic pharmaceuticals were also found in deeper sediments and citalopram was the most abundant one in particles and sediments. The sediment profile of citalopram correlated well with its increasing consumption by human population. Hence, it could be usable also for sediment dating. The waterborne exposure and efficient metabolism was found for the five pharmaceuticals studied in the laboratory experiments with rainbow trout. The concentrations of diclofenac, naproxen and ibuprofen (parent drug and its metabolites) were two to four orders of magnitude higher in the rainbow trout bile than in the blood plasma. Same compounds were also found in field-exposed rainbow trout, supporting the usability of bile in the exposure assessment. Cationic compounds were not found in the bile or plasma of field exposed fish. The measurements from particulate material, passive samplers and fish implied that of the four sites studied here, the wastewater treatment plant of Riihimaki in River Vantaa caused the highest local impacts of pharmaceuticals in the environment.
Multi-sensor biologgers and innovative training allow data collection with high conservation and welfare value in zoos

Zoos are valuable resources for research, providing scientists with access to rare and elusive species in an easy to observe environment. Animal-attached loggers (aka biologgers) offer profound insight into animal behaviour. Their use in zoos has high yet largely untapped potential to collect data relevant for wild animal research and conservation but also welfare and enrichment monitoring of the zoo animals themselves. However, affixing biologgers to study animals can be problematic in captive settings, limiting the accessibility of this technology for use on zoo species which ordinarily need to be sedated for the fitting of such devices, including large carnivores. Here we show that biologging collars and crate-training allow collection of novel datasets on captive animals with high welfare and conservation value, using endangered African wild dogs (Lycaon pictus) tagged with tri-axial accelerometer and tri-axial magnetometer loggers, as a case study. Two yearling female wild dogs were fitted with biologging collars while sedated in preparation for translocation from London to Whipsnade Zoo, with data collected for 10–26 hours until collar detachment. Two adult male wild dogs at London Zoo were trained to accept collars in a modified crate in exchange for a food reward, which allowed fitting and detaching the collars without sedation, with data collected for 28 days. First, we show how accelerometer and magnetometer data allow detection of fine-scale individual differences in the recovery from sedation as well as within- and between-individual variation in activity patterns in relation to the type of food received (tong vs. rabbit and pony carcass). Using the vectorial dynamic body acceleration metric (VeDBA), a proxy for movement-related energy expenditure, further shows that daily energy expenditure was higher on days with partial pony carcass feeds compared to rabbit feeds but varied considerably between days where flesh pieces were fed with tongs. Using the dead-reckoning method allowed reconstruction of fine-scale (1 Hz locations) movement paths within enclosures, indoors and outdoors, allowing visualisation and quantification of fine-scale movement and space use differences between individuals and over time, for example in response to different enrichment methods. Using multi-sensor biologgers, combined with training captive animals to accept collars without the use of anaesthetic, can enable flexible, experimental approaches to data collection with minimal impact on study animals, providing novel understanding of relevance for both zoo and wild animals.
FAIMCS: A fast and accurate influence maximization algorithm in social networks based on community structures

Finding a number of nodes that are able to maximize the spread of influence through the social network and are called influence maximization has numerous applications in marketing. One such application is to find influential members for promoting a product across a large network. Even though numerous algorithms have been proposed, challenges such as scalability, time constraints, and low accuracy have motivated the researchers for better solutions. Some of the newly proposed algorithms are scalable, but fail to provide adequate accuracy. On the other hand, some greedy algorithms provide a good level of accuracy but are very time consuming for large networks. In this paper, an algorithm is proposed called FAIMCS that can quickly find influential nodes across large networks with high accuracy. FAIMCS, reduces computational overhead considerably by eliminating major portions of the social network graph which have little influence. FAIMCS uses community detection algorithm to determine each community's quota of influential nodes based on the structure of that community. Finally, it obtains influential nodes from the candidate nodes. Experiment results show FAIMCS is faster than current algorithms and provides a high level of accuracy for large social networks.
Gendered skilled migration: American women in China

ABSTRACT Skilled migration has become increasingly gendered. Situating within the context of globalization and mobility, this article examines skilled women migrants from the U.S. to China. Based on in-depth interviews conducted in the Pearl River Delta Region of China, this article aims to address these questions: What are the factors that influence skilled women migrants’ agency in migration decision-making? How is agency reflected in skilled women’s post-migration experience, including labor market and social relationships in the Chinese context? This research revealed a paradoxical dynamic in skilled migration. First, even for skilled migrants, the capacity to exercise agency in migration decisions is not equal between men and women. Being highly skilled does not guarantee gender equality in distribution of domestic work and responsibilities. Secondly, despite their high levels of education and skills, women migrants had limited options in the labor market and may become more economically dependent on their husbands after moving to China. Thirdly, although the women migrants were not all employed in professional sectors, they all took initiatives to fulfill their talent through home-schooling, and volunteering for community building events. Through these activities, the American women managed to use their existing skills or develop new skills to cope with the post-migration realities; nevertheless, their agency is ultimately constrained by the larger structural forces, including the socially constructed definitions of skills, and conventional gender norms and practices.
Premium Valuation of the Pension Benefit Guaranty Corporation with Regime Switching

The Pension Benefit Guaranty Corporation (PBGC) provides insurance coverage for single-employer and multiemployer pension plans in private sector. It has played an important role in protecting the retirement security for over 1.5 million people since it was established about half a decade ago. PBGC collects insurance premiums from employers that sponsor insured pension plans for its coverage and receives funds from pension plans that it takes over. To address the issue of underfunded plans that the PBGC has, this work studies how to evaluate risk-based premiums for the PBGC. Inspired by a couple of existing work in which the premature termination of pension fund and distress termination of sponsor assets are analyzed separately, our work examines the two types of terminations under one framework and considers the occurrence of each termination dynamically. Given that market regime might have a big impact on the dynamics of both pension fund and sponsor’s assets, we thus formulate our model using a continuous-time two-state Markov chain in which bull market and bear market are delineated. We thus formulate our model using a continuous-time two-state Markov Chain in which bull market and bear market are delineated. In other words, the pension fund and sponsor assets are market dependent in our work. Given that this additional uncertainty described by regime switching makes the market incomplete, we therefore utilize the Esscher transform to determine an equivalent martingale measure and apply the risk neutral pricing method to obtain the closed-form expressions for premium of PBGC. In addition, we carry out numerical analysis to demonstrate our results and observe that premium increases according to the retirement benefit irrespective of the type of terminations. In comparison to the case of early distress termination of sponsor assets, the premium goes up more quickly when premature termination of pension funds occurs first due to the fact that pension fund is the first venue of retirement security. Furthermore, we look at how the premium changes with respect to other key parameters as well and make some detailed observations in the section of numerical analysis.
Cultural differences in mutual gaze during face-to-face interactions: A dual head-mounted eye-tracking study

ABSTRACT Cross-cultural psychologists have widely discussed “gaze avoidance” as a sociocultural norm to describe reduced mutual gaze in East Asians (EAs) compared to Western Caucasians (WCs). Supportive evidence is primarily based on self-reports and video recordings of face-to-face interactions, but more objective techniques that can investigate the micro-dynamics of gaze are scarce. The current study used dual head-mounted eye-tracking in EA and WC dyads to examine face looking and mutual gaze during live social interactions. Both cultural groups showed more face looking when listening than speaking, and during an introductory task compared to a storytelling game. Crucially, compared to WCs, EA dyads spent significantly more time engaging in mutual gaze, and individual instances of mutual gaze were longer in EAs for the storytelling game. Our findings challenge “gaze avoidance” as a generalizable cultural observation, and highlight the need to consider contextual factors that dynamically influence gaze both within and between cultures.
Copolyesters from Soybean Oil for Use as Resorbable Biomaterials

A family of soybean oil (SO) based biodegradable cross-linked copolyesters sourced from renewable resources was developed for use as resorbable biomaterials. The polyesters were prepared by a melt condensation of epoxidized soybean oil polyol and sebacic acid with citric acid (CA) as a cross-linker. d-Mannitol (M) was added as an additional reactant to improve mechanical properties. Differential scanning calorimetry revealed that the polyester synthesized using only CA as the cross-linker was semicrystalline and elastomeric at physiological temperature. The polymers were hydrophobic in nature. The water wettability, elongation at break and the degradation rate of the polyesters decreased with increase in M content or curing time. Modeling of release kinetics of dyes showed a diffusion controlled mechanism underlies the observed sustained release from these polymers. The polyesters supported attachment and proliferation of human stem cells and were thus cytocompatible. Porous scaffolds induced osteogenic d.
Quartz Crystal Microbalance Genosensing of Brettanomyces bruxellensis Yeast in Wine Using a Rapid and Efficient Drop and Collect Protocol

A miniaturized quartz crystal microbalance (QCM) genosensor is proposed for sensitive and real-time detection of short ssDNA sequences (53 bp) or DNA extracted from Brettanomyces bruxellensis (Brett) yeast cells. The presence of Brett yeast causes a depreciation of the quality of aged fine wines, producing molecules of unpleasant odors and biogenic amines that are harmful to human health. More specifically, standard quartz crystal (S-QCM) and homemade 4 nm gold transmission electron microscopy (TEM)-grid patterned quartz (multi-TEM QCM) are herein proposed for biofunctionalization steps with different ssDNA sequences. By employing a rapid and efficient drop and collect protocol, the specific detection of 1 pg/µL ssDNA Brett of a short sequence and 100 ng/μL DNA of B. bruxellensis extracted from a wine sample (VR2008) is reported.
AI Technology and Online Purchase Intention: Structural Equation Model Based on Perceived Value

(1) Background: AI technology has been deeply applied to online shopping platforms to provide more accurate and personalized services for consumers. It is of great significance to study the different functional experiences of AI for consumers to improve the current application status of AI technology. (2) Method: Based on the “SOR” model, this study divides the AI technology experienced by the consumers of online shopping platforms into three dimensions: accuracy, insight, and interaction experience. The perceived value is taken as the mediating variable from the prospect of perceived utility value and perceived hedonic value. This article uses empirical research methods to analyze the effect of the three dimensions of online shopping AI experience to research the internal influence mechanism of consumers’ purchase intention. (3) Results: 1. The accuracy, insight, and interaction experience of AI marketing technology each have a significant positive impact on consumers’ perceived utility value and hedonic value; 2. Both the perceived utility value and perceived hedonic value obtained by an AI technology experience can promote the formation of consumers’ purchase intention; 3. The perceived hedonic value was better than perceived utility value at promoting the consumers’ purchase intention.
Does Environment Management Practice Play a Mediating Role between Green Intellectual Capital and Green Human Resource Management?

Mohammad Nurul Alam Universiti Tenaga Nasional Jamshid Ali Turi (  jamshidump@gmail.com ) Bahria University Department of Management Sciences Sudhaishna Khastoori SZABIST: Shaheed Zul kar Ali Bhutto Institute of Science and Technology Rosima Bte Alias Universiti Tenaga Nasional Md Adnan Rahman International University of Business Agriculture and Technology Md Suliman Hossin University of Kuala Lumpur: Universiti Kuala Lumpur
A Hybrid Framework for Personality Prediction based on Fuzzy Neural Networks and Deep Neural Networks

In general, humans are very complex organisms, and therefore, research into their various dimensions and aspects, including personality, has become an attractive subject of research. With the advent of technology, the emergence of a new kind of communication in the context of social networks has also given a new form of social communication to humans, and the recognition and categorization of people in this new space have become a hot topic of research that has been challenged by many researchers. In this paper, considering the Big Five personality characteristics of individuals, first, categorization of related work is proposed, and then a hybrid framework based on Fuzzy Neural Networks (FNN), along with, Deep Neural Networks (DNN) has been proposed that improves the accuracy of personality recognition by combining different FNN-classifiers with DNN-classifier in a proposed two-stage decision fusion scheme. Finally, a simulation of the proposed approach is carried out. The proposed approach is using the structural features of Social Networks Analysis (SNA), along with a linguistic analysis (LA) feature extracted from the description of the activities of individuals and comparison with the previous similar researches. The results, well-illustrated the performance improvement of the proposed framework up to 83.2 % of average accuracy on myPersonality dataset.
The puzzle of monarch butterflies (Danaus plexippus) and their association with plants containing pyrrolizidine alkaloids

1. The chemical defences of monarch butterflies involve two kinds of secondary plant metabolites: cardiac glycosides (CGs) that are obtained from larval hostplants, and pyrrolizidine alkaloids (PAs) that are gathered by adults usually independent from feeding behaviour. While monarchs and CGs have received great attention, monarchs and PAs appear largely ignored in science as well as by the public.
Economic imaginaries and beyond. A cultural political economy perspective on the League party

ABSTRACT In the face of enduring crisis phenomena, quantitative evidence of the renewed salience of socio-economic agendas advanced by radical right populist parties calls for more qualitative research work and in-depth case studies. The present paper aims to contribute to filling this gap through a cultural political economy (CPE) investigation of the Italian League (Lega) party that foregrounds its socio-economic positioning by reconstructing the party’s ‘economic imaginary’. The suggested synergy between CPE and a critical discourse analysis of the League’s practical argumentation in the 2013 and 2018 electoral manifestos points to a composite economic imaginary that prioritizes: 1) production (vs financialization); 2) support of internal demand; 3) lowering of fiscal pressure; 4) protectionism and 5) welfare. The analysis shows how, under Salvini’s leadership, the party’s practical argumentation in EU matters has become constitutive of its overall political strategy and so exacerbated the claims at the core of the respective economic imaginary. In this vein, the League’s Euroscepticism has also polarized the relationship between the party’s socio-economic and socio-cultural stance, thus urging to go beyond the focus on economic imaginaries and sketch out a CPE research agenda on the League’s more encompassing struggle for hegemony in the Italian political economy.