Miracle-dz/UniFAR-FTUs huggingface dataset:
Data and text mining Microbial genotype – phenotype mapping by class association rule mining

Motivation: Microbial phenotypes are typically due to the concerted action of multiple gene functions, yet the presence of each gene may have only a weak correlation with the observed phenotype. Hence, it may be more appropriate to examine co-occurrence between sets of genes and a phenotype (multiple-to-one) instead of pairwise relations between a single gene and the phenotype. Here, we propose an efficient class association rule mining algorithm, NETCAR, in order to extract sets of COGs (clusters of orthologous groups of proteins) associated with a phenotype from COG phylogenetic profiles and a phenotype profile. NETCAR takes into account the phylogenetic co-occurrence graph between COGs to restrict hypothesis space, and uses mutual information to evaluate the biconditional relation. Results: We examined the mining capability of pairwise and multiple-to-one association by using NETCAR to extract COGs relevant to six microbial phenotypes (aerobic, anaerobic, facultative, endospore, motility and Gram negative) from 11 969 unique COG profiles across 155 prokaryotic organisms. With the same level of false discovery rate, multiple-to-one association can extract about 10 times more relevant COGs than one-to-one association. We also reveal various topologies of association networks among COGs (modules) from extracted multiple-to-one correlation rules relevant with the six phenotypes; including a well-connected network for motility, a star-shaped network for aerobic and intermediate topologies for the other phenotypes. NETCAR outperforms a standard CAR mining algorithm, CARAPRIORI, while requiring several orders of magnitude less computational time for extracting 3-COG sets. Availability: Source code of the Java implementation is available as Supplementary Material at the Bioinformatics online website, or upon request to the author. Contact: makio323@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.
Wear simulation for boundary lubricated, radially loaded, spherical roller bearings

The wear of railway axle bearings is an important phenomenon. Rail companies must keep their rolling stock in a serviceable condition as excessively worn bearings can contribute to safety issues such as vibrations, excessive clearances and possibly even derailments. At present, maintenance scheduling is typically performed at predetermined time intervals. Predicting the wear and degradation of the bearings, would enable operators and bearing manufacturers to 1) optimise the design and maintenance of the bearings, and 2) quantitatively determine the best time to replace the bearings. This paper presents a model developed for predicting the wear in radially loaded spherical roller railway axle bearings. It uses a slice method to calculate the roller load, traction and creep distribution along the roller for the contact mechanics, and predicts wear using a frictional power model. The model is first validated with the wear in a thrust bearing in the literature and then used to predict wear in the radial bearing. The wear contribution from each roller in the loading zone due to the radial loading is calculated and combined for an overall wear profile.
Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship

After the novelty effect wears off children need a new motivator to keep interacting with a social robot. Enabling children to build a relationship with the robot is the key for facilitating a sustainable long-term interaction. We designed a memory-based personalization strategy that safeguards the continuity between sessions and tailors the interaction to the child's needs and interests to foster the child-robot relationship. A longitudinal (five sessions in two months) user study (N = 46, 8–10 y.o) showed that the strategy kept children interested longer in the robot, fosters more closeness, elicits more positive social cues, and adds continuity between sessions.
CONVERGENCE OF INCOME AMONG PROVINCES IN INDONESIA,1984-2008: A PANEL DATA APPROACH

This paper aims to analyze the income dispersion and test both absolute convergence and conditional convergence of income among 26 provinces in Indonesia during 1984- 2008 using static and dynamic panel data approach. Using the σ convergence analysis indicated that income dispersion measured by coefficient variation occurred in 1984-2008 generally experienced fluctuation. Factors influencing income dispersion rate were the impact of the economic crisis, the period of fiscal decentralization in Indonesia, the impact of the Bali bombing, impact of rising fuel prices in October 2005 and the earthquake in Jogjakarta and Central Java. Dynamic panel data estimation with system GMM produced an efficient and consistent estimator to overcome the problems of instrument validity. In addition, it is also dedicated to minimize the risk of bias due to endogeneity problem. There was a strong indication of the existence of absolute convergence and conditional convergence among 26 provinces in Indonesia during 1984-2008. Thus, there was evidence that the economy of poorer provinces tends to grow faster compared to the more prosperous provinces, and this progress meant that there was a tendency to catch up. Based on the system GMM estimation, it is found that the provinces in Java havefaster speed of convergence comparatively to those outside Java.
Involvement of CD 16 in antibody-dependent enhancement of porcine reproductive and respiratory syndrome virus infection

The immunological effect of porcine reproductive and respiratory syndrome disease virus (PRRSV) vaccines is thought to be influenced by a variety of host factors, in which antibodydependent enhancement (ADE) of infection is one crucial factor. Here, we assessed the mechanism of ADE of PRRSV infection. First, we found that subneutralizing serum could induce ADE of PRRSV infection in porcine alveolar macrophages (PAMs). Quantitative PCR, Western blotting and flow cytometry revealed that CD16 is the most abundant Fcc receptor (FccR) expressed on the surface of PAMs; thus, the role of CD16 in ADE of PRRSV infection was examined in PAMs. By using functional blocking antibodies, we demonstrated that CD16 is involved in enhanced virus production in PRRSV–antibody immune complex-infected PAMs. Because PAMs co-express different FccR isoforms, we evaluated the effects of CD16 in FccRnon-bearing cells by transfection. Using these engineered cells, we found that CD16 could specifically bind to the PRRSV–antibody immune complex and subsequently mediate internalization of the virus, resulting in the generation of progeny virus. We also showed that efficient expression of CD16 required association of the FcR c-chain. Together, our findings provide significant new insights into PRRSV infection, which can be enhanced by CD16mediated PRRSV–antibody immune complexes. This CD16-mediated ADE may induce a shift in PRRSV tropism towards CD16-expressing cells, distributing virus to more organs during virus infection.
Graduates’ vocational skills for the management accountancy profession: exploring the accounting education expectation-performance gap

ABSTRACT This paper focuses on understanding the vocational skills required by graduates and assessing the competence of graduates for the management accountancy profession. It explores ‘expectation gaps’ by examining whether the Chartered Institute of Management Accountants, practitioner employers and university educators have different expectations with regard to the important vocational skills for graduates. The research aim is to generate a greater understanding of the factors that create identified expectation gaps between the above stakeholders and to explore the implications of any gaps. The research was conducted by interviewing stakeholders and a survey of university accounting educators in UK and Ireland business schools. Expectation gaps between the stakeholders were identified. These expectation gaps appear to exist owing to conflicting views on the purpose of university education. The paper contributes to the growing debates about the general role of higher education in society and the role of university accounting educators in supplying graduate trainee accountants for the management accountancy profession.
Ti-ii transition probabilities and radiative lifetimes in TI and the solar titanium abundance

Transition probabilities of 100 Ti-II emission lines, originating from 7 different atomic levels, have been determined by combining branching fractions with radiative lifetimes. The branching fractions were measured using Fourier transform spectroscopy on a hollow cathode. The radiative lifetimes of these 7―and 35 additional―levels were measured using time resolved laser-induced fluorescence on a slow Ti ion beam. The transition probabilities of 21 very weak lines have been used to derive a solar titanium abundance of a Ti = log(N Ti /N H ) + 12 = 5.04 ± 0.04 dex, which is insensitive to the solar model. This value is in disagreement with the meteoritic titanium abundance (4.93 ± 0.02)
Automatic Frustration Detection Using Thermal Imaging

To achieve seamless interactions, robots have to be capable of reliably detecting affective states in real time. One of the possible states that humans go through while interacting with robots is frustration. Detecting frustration from RGB images can be challenging in some real-world situations; thus, we investigate in this work whether thermal imaging can be used to create a model that is capable of detecting frustration induced by cognitive load and failure. To train our model, we collected a data set from 18 participants experiencing both types of frustration induced by a robot. The model was tested using features from several modalities: thermal, RGB, Electrodermal Activity (EDA), and all three combined. When data from both frustration cases were combined and used as training input, the model reached an accuracy of 89% with just RGB features, 87% using only thermal features, 84% using EDA, and 86% when using all modalities. Furthermore, the highest accuracy for the thermal data was reached using three facial regions of interest: nose, forehead and lower lip.
Low Flow Regimes of the Tarim River Basin, China: Probabilistic Behavior, Causes and Implications

Droughts are a frequent occurrence in Xinjiang, China, and therefore fundamental to determining their hydrologic characteristics is low flow analysis. To that end, 11 probability distribution functions and 26 copulas functions were employed to analyze the changing characteristics of low flow regime (defined as seven-day low flow) of the Tarim River Basin. Results indicated that: (1) The Wakeby distribution satisfactorily described the probabilistic behavior of the low flow regime. According to Akaike Information Criterion (AIC), Bayesian Information Criterions (BIC), maximum likelihood, and other residual-based metrics, Tawn copula, Farlie–Gumbel–Morgenstern copula and Frank copula were the best choice and used in this current study. (2) After 1987, hydrological droughts of longer return periods were prone to higher occurrence frequency. (3) The low flow volume has been increasing in recent years due to the temperature-induced increase of snowmelt and increasing precipitation. However, hydrological droughts can be expected to occur due to the massive increase in water demand from the development of irrigated agriculture, increasing arable land and livestock farming. As a result, the water shortage in the lower Tarim River Basin will be increasingly severe under the influence of climate change and human activities. To alleviate the shortage would call for the development of water-saving agricultural irrigation, water-saving technology, conservation of eco-environment and sustainable development of local socio-economy.
Modeling of thin films for self-cleaning purposes

Title of Thesis: MODELING OF THIN FILMS FOR SELF-CLEANING PURPOSES Harika Vakkantula, Master of Science, 2017 Thesis directed by: Professor Raymond Adomaitis Department of Chemical and Biomolecular Engineering Surface self-cleaning efficiency depends on the rates of decontamination and contamination. It has been observed that the rate of decontamination increases when the surface is exposed to water, a process called as photoinduced superhydrophilicity. Understanding the reaction mechanism for photoinduced superhydrophilicity has been challenging over past decade. Several reaction mechanisms have been proposed but gaps in understanding these mechanisms elemental wise remain. Moreover, the reaction mechanisms proposed contradict the experiment results of the titanium dioxide interaction with water. Thus, it is essential to propose a reaction mechanism that is consistent with the experimental results. In the first part of the thesis, we fabricated titanium dioxide thin films by using the Atomic Layer deposition(ALD). Tetrakis-(dimethylamino) titanium (TDMAT) and ozone precursors are used to deposit photoactive titanium dioxide. Experiment results using these films are found to be promising. In the second part of the thesis we proposed potential elementary reaction mechanisms in supporting experimental evidence at each step of the reaction. MODELING OF THIN FILMS FOR SELF-CLEANING PURPOSES
Toward Adaptive Driving Styles for Automated Driving with Users' Trust and Preferences

As autonomous vehicles (AVs) become ubiquitous, users' trust will be critical for the successful adoption of such systems. Prior works have shown that the driving styles of AVs can impact how users trust and rely on such systems. However, users' preferred driving style may vary with changes in trust or road conditions, experience, and personal driving preferences. We explore methods to adapt the driving style of an AV to match the preferred driving style of users to improve their trust in the vehicle. We conducted a pilot study ($n=16$) on a simulated urban environment, where the users experience various static and adaptive driving styles for different pedestrian and traffic-related scenarios. Our results indicate that users best trust AVs that closely match their preferences ($p< 0.05$). We believe that exploring the effects of AV driving style on users' trust and workload will provide necessary steps towards developing human-aware automated systems.
Effects of Long-term Feeding of Diets Containing Moniliformin, Supplied by Fusarium fujikuroi Culture Material, and Fumonisin, Supplied by Fusarium moniliforme Culture Material, to Laying Hens 1

Beginning at 24 wk of age, control diets or diets containing 50 or 100 mg/kg moniliformin (M), 100 or 200 mg/kg fumonisin B 1 (FB 1 ), or a combination of 50 mg M and 100 mg FB 1 /kg of diet were fed to White Leghorn laying hens for 420 d. The hens were then fed the control diet for an additional 60 d. At the beginning of the experiment, each treatment consisted of four replicates of six hens. Egg production was reduced by approximately 50% by the end of the second 28-d laying period and remained at approximately this level for the 420 d in only the hens fed the diet containing 100 mg M/kg feed. Production returned to control levels or above within 60 d after hens were fed the control diet. Egg weights were reduced by the 100-mg M diet during the ﬁrst three 28-d laying periods before returning to weights comparable
Refining shippers' dyadic cost, risk, and delivery responsibilities : the principal changes to INCOTERMS and a transaction cost focus for the future

This paper examines the ongoing evolution of the U.S. airline industry under deregulation. After losing money for most of the past 35 years, carriers have made structural changes to their business models that have proven to be, at least in the short term, very profitable. After delineating these management actions, the paper examines their impact on passengers. The author utilizes the Service Quality Model to analyze the long-term implications of this new operating paradigm for passenger satisfaction. Based on this analysis the paper goes on to suggest several actions management could take to improve satisfaction. Finally, conclusions are offered and areas for additional research suggested.
Tilburg University Identifying the subtypes of cancer-related fatigue

Purpose Little research has been done to identify possible cancer-related fatigue (CRF) subtypes and to classify cancer survivors accordingly. We aimed to identify CRF subtypes in a large population-based sample of (long term) stage I–III colorectal cancer survivors. We also identified factors associated with the CRF subtypes. Methods Respondents completed the Multidimensional Fatigue Inventory and other validated questionnaires on anxiety and reduced positive affect (anhedonia), sleep quality, and lifestyle factors (body mass index and physical activity). Latent class analysis was used to derive the CRF subtypes. Factors associated with the derived CRF subtypes were determined with multinomial logistic regression. Results Three CRF classes were identified: class 1 (no fatigue and distress, n = 644, 56%), class 2 (low fatigue, moderate distress, n = 256, 22%), and class 3 (high fatigue, moderate distress, n = 256, 22%). Multinomial logistic regression results show that survivors in class 3 were more likely to be female, were treated with radiotherapy, have comorbid diabetes mellitus, and be overweight/obese than survivors in class 1 (reference). Survivors in classes 2 and 3 were also more likely to have comorbid heart condition, report poorer sleep quality, experience anhedonia, and report more anxiety symptoms when compared with survivors in class 1. Conclusions Three distinct classes of CRF were identified which could be differentiated with sleep quality, anxiety, anhedonia, and lifestyle factors. Implications for cancer survivors The identification of CRF subtypes with distinct characteristics suggests that interventions should be targeted to the CRF subtype.
Patterns in Music: How Linguistic Corpus Analysis Tools Can Be Used to Illuminate Central Aspects of Jazz Improvisation

Abstract:It is well-known that improvisations by artist-level jazz improvisers contain repeated melodic and rhythmic patterns. In previous research, we argued that these patterns reflect an ongoing internal process in which the insertion of linked auditory and motor patterns underpin improvisation. This view was supported by an analysis of 48 solos by jazz great Charlie Parker. Here we provide an updated and expanded analysis that incorporates the principles of Open Science where both data set and analysis paradigm are immediately available to the reader. Specifically, three main limitations of our previous work are addressed by 1) using a much larger dataset—the Weimar Jazz Database (WJD), which contains 456 solos by 78 jazz artists, 2) providing a formatted version of the data set, and 3) demonstrating a free tool that allows the reader to nearly instantly verify our analysis using software originally designed for corpus linguistic analysis. This tool can also be used in jazz theory and improvisation classes, allowing students to investigate any type of melodic, rhythmic, or chordal patterns. We provide and validate several measures that demonstrate the ubiquitous use of patterns by different jazz artists and show the reader a number of ways to explore pattern distribution and contexts. Our analyses provide further support for the central role of patterns in real-time music creation as originally suggested by Pressing (1988).
The Relationship between Ownership Structure and Dividend Policy in an Emerging Market: A Moroccan Study

The objective of this study is to examine the effect of ownership structure on dividend policy in the context of an emerging market. In the academic literature, covering various economic contexts, research shows contradictory results. Therefore, based on a sample of 146 observations, we analysed the relationship between the ownership structure and the dividend policy in Morocco. The results of our study show a positive and significant relationship between ownership structure and dividend policy; however, one of the ownership structures (institutional ownership) did not show a significant relationship with dividend policy. Our results are surprising as they contradict Aguenaou et al. (1) and Pablo and Gonzalez (2) who instead find negative relationships. Our results add to the existing literature by providing unique results in an emerging market such as Morocco.
Refilling Water Bottles in Elderly Care Homes With the Help of a Safe Service Robot

This study presents key technologies of a mobile service robot developed to manipulate objects around people safely. We demonstrate this ability to support staff in elderly care homes in the future. The take-over by a service robot allows the staff to spend less time with routine logistical tasks and therefore better focus on the interaction with residents. In the selected application scenario, the robot helps staff by (1) retrieving empty bottles from the residents' rooms, (2) bringing them to the kitchen, (3) taking the refilled bottles back to a table inside the residents' rooms. This task seems trivial for a person, but the robot needs to orchestrate numerous algorithms and components to work smoothly, such as bottle pose detection, manipulation, and navigation. A technical evaluation indicates a high performance of single components, but due to isolated failures, the overall scenario does not always succeed. Next to the technical aspects, it is fundamental to determine the acceptance of the robot, which was achieved by analyzing questionnaires given to care workers. Finally, this paper presents lessons learned to help other researchers in similar use-cases.
Street Marketing: How Proximity and Context Drive Coupon Redemption

Purpose - In 2009, U.S. coupons set a new record of 367 billion coupons distributed. Yet, while coupon distribution is on the rise, redemption rates remain below 1%. This article shows how recognizing context variables, such as proximity, weather, part of town and financial incentives interplay to determine a coupon campaigns’ success.Design/methodology/approach – The paper reports an empirical study conducted in co-operation with a restaurant chain: 9.880 Subway coupons were distributed under different experimental context conditions. Redemption behavior was analyzed with the help of logistic regressions.Findings – We found that even though proximity drives coupon redemption, city center campaigns seem to be much more sensitive to distance than suburban areas. The further away the distribution place from the restaurant the less does the amount of monetary incentive determine the motivation to redeem.Practical implications – When designing a coupon campaign for a company, coupon distribution should not follow a ‘one-is-good-for-all-strategy’ even for one marketer within one product category. Instead each coupon strategy should carefully consider contextual influence.Originality – This article is the first to our knowledge that systematically investigates the impact of context variables on coupon redemption. We focus on context variables that electronic marketing channels will be able to easily incorporate into personalized mobile marketing campaigns.