Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF JOB SATISFACTION AND PERCEPTION OF WORK OPPORTUNITIES TO TURNOVER INTENTION WITH ORGANIZATION COMMITMENT AS INTERVENING VARIABLES: THE CASE OF HOTELS IN EAST JAVA, INDONESIA

This study aimed to examine the effect of job satisfaction and perceptions of job opportunities to the turnover intention and organizational commitment as an intervening variable. This study used the Theory of Reasoned Action, Two Factor Theory, Theory of Necessity, Theory of Planned Behavior and Theory of Motivation and Hope as the basis of this study. These studies use survey methods to collect data from selected samples. The chosen samples were managers who were placed at the middle management in 4-5 stars hospitality field institutions. There were 129 respondents total taken in this research. Nevertheless research trip to 5-star hotels do not provide research permit due to not accepting study from any party, therefore samples were taken from 4-star hotel in East Java for 71 respondents. This study uses Partial Least Square (PLS) in test data. Research result indicates that the job satisfaction has a positive influence on turnover intention, the perception of employment opportunities positive effect on turnover intention and positive effect on job satisfaction organizational commitment. But the perception of employment opportunities negatively affect organizational commitment, organizational commitment negatively affect turnover intention, not able to mediate organizational commitment to job satisfaction and turnover intention organizational commitment are not able to mediate the perception of job opportunities to turnover intention.
The number needed to treat for adalimumab, etanercept, and infliximab based on ACR50 response in three randomized controlled trials on established rheumatoid arthritis: a systematic literature review

Objective: To compare the efficacy of adalimumab, etanercept, and infliximab in patients with established rheumatoid arthritis (RA) taking concomitant methotrexate (MTX) by calculating the number needed to treat (NNT) using three different methods. Methods: A systematic literature search of the Cochrane Library, MEDLINE, and EMBASE was conducted from inception to 30 June 2006. Two pairs of investigators, a Danish and a Swedish pair, independently conducted a structured literature review. The reviewers selected any published randomized, double‐blind, MTX controlled study of adalimumab, etanercept, and infliximab, presenting the American College of Rheumatology 50% response (ACR50) after 12 months in RA patients with a mean disease duration of at least 5 years. The two review groups independently extracted the estimates necessary to calculate the NNT. Results: The reviewers consistently selected the same three randomized, controlled trials (RCTs), one for each of the drugs, and extracted equal data for the number of patients completing the 12‐month intervention, and the corresponding number of ACR50 responding patients after therapy. Some baseline differences were noted: patients in the etanercept trial had a shorter disease duration and did not receive MTX prior to inclusion; patients in the adalimumab study had lower Health Assessment Questionnaire (HAQ) scores. The calculated NNTs varied slightly depending on the method used. The fully adjusted NNTs (95% confidence intervals) for adalimumab, etanercept, infliximab standard dosage and infliximab double dosage were 4 (3–6), 4 (3–6), 8 (4–66), and 4 (3–11) patients, respectively. Conclusion: This study indicates equal efficacy of the three anti‐tumour necrosis factor (TNF) therapies.
Cowpoxvirus infection in the Patagonian cavy (Dolichotis patagonum) emerging disease in an educational animal park the first reported case

Summary Generalized cowpox infection in the Patagonian cavy may represent a threat to the health of immunocompromised persons. We report the first case of cowpoxvirus infection in the Patagonian cavy in an educational animal park. The mara developed extensive pox lesions, shedding large amounts of viral particles. The ending of vaccination programmes against smallpox in the late 1970's may lead to an increase in susceptibility of humans to zoonotic poxviruses.
A scale invariant distance measure for texture retrieval

We propose a similarity measure between two textures based on moments of the Fourier magnitude spectrum. The resulting distance is robust to changes in scale as well as to spatial shifts and grey-scale transforms of the texture samples. This type of invariant distance has applications to content-based image retrieval and classification tasks. We test the performance of the algorithm in a retrieval scenario using texture patches from the Brodatz album. The results indicate that the distance measure emulates human similarity perception in comparing textures.
Laajamittaisen luomutuotannon teknologia - taloudellinen toteutettavuus ja ekologinen kestävyys

The aim of this work was to find obstacles in the way of ecological farming and find solutions to them. In addition, some aspects of reducing agricultural nutrient loading and improving the utilisation of renewable resources with help of ecological farming were reviewed. Ecological farming is often seen as being more labour-intensive than conventional farming. Because of the dependence on crop rotation a high degree of specialisation and economies of scale cannot be reached as in conventional farming. In addition, some external chemical inputs must be replaced by work in ecological farming. According to the farm models built in this work, there is no clear difference in the demand for labour between conventional and organic farms after the conversion period as long as the farms are of equal size. However, production costs are 20–100% higher in organic farming. A larger field area and more working hours are needed in organic farming to achieve the same production level. It is obvious that more economic support or a higher premium price is needed to motivate new farmers to convert to ecological farming. However, a higher production level more often than not causes more negative environmental impacts compared to a lower intensity. The present evaluation methods are not really able to indicate this and an alternative evaluation method is presented. Co-operation between farms allows for specialisation even though the whole system is diverse enough for ecological production. Close co-operation, that is, collective buildings for livestock and collective crop rotations, saves the most working hours. The reduction of production costs can be up to 40%. Integration between crop farms and livestock farms clearly reduces negative environmental impacts. However, the present environmental policy in agri-
Exploring Factors That Influence Consumer Loyalty to Automobile Dealerships in New York

Customer attrition has severe effects on profitability and organizations incur high costs acquiring new customers while existing ones generates more profits. However, when an organization reduces customer quitting by 5%, it raises profits by 2-8% (Khan & Rizwan, 2014). Previous studies gave much attention to factors of customer loyalty such as product quality and customer satisfaction but none have qualitatively explored the factors relative to automobile dealerships businesses in New York City. The aim with this study was to fill the research gap. Based on Theory of Reasoned Action, the purpose of this qualitative multiple-case study was to explore some factors that influence customer loyalty towards automobile dealerships after initial purchases. Data were collected from 50 participants who have purchased, leased, or serviced automobiles from same dealership for over 60 months. Data analysis involved thematic and content analysis. The 3 emergent themes in final report related to Customer Satisfaction, Product Quality and Service Quality influences on consumers loyalty towards dealerships. Findings could result in retention programs and strategies for automobile business managers to inhibit attrition rate while alleviating the damaging effects to sales and profitability. This study is beneficial to automobile business managers, policy makers, and academics.
Chlorophyll content, photosynthetic efficiency and genetic markers in two sour cherry (Prunus cerasus L.) genotypes under drought stress

Abstract - Drought is a limiting factor in fruit production today. Identification of sour cherry genotypes tolerant to drought will enable the sustainability of fruit production. The aim of our study was to select sour cherry genotypes according to their genetic background as well as drought tolerance and investigate possible mechanisms of drought tolerance through the changes in photosynthetic apparatus (i.e. photosynthetic pigment content) and photosynthesis process assessed through the chlorophyll fluorescence transient. All of them together with molecular markers (SSRs and AFLPs), relative water content (RWC) as indicator of plant water status distinguish two genotypes (Kelleris 16 and OS), which are the opposite in regards to drought tolerance. Down-regulation of photosynthesis in drought-treated Kelleris 16 plants was seen as changes in antenna complexes of PSII (decreased total chlorophylls content (a+b) and chlorophylls ratio (a/b)). Despite unchanged maximum quantum yield of PSII in drought-treated leaves of genotype OS, overall photosynthetic performance expressed as PIABS was down-regulated in both investigated genotypes. However, decrement of PIABS was much pronounced in genotype Kelleris 16, mainly because of changes in a certain fraction of RCs, which become dissipative centres, seen as increase in ABS/RC and DI0/RC, in order to avoid photooxidative damage of photosynthetic apparatus. Also, electron transport, seen as decrease in ET0/(TR0-ET0) and ET0/RC, was impaired which lead to impaired CO2 fixation and photosynthesis. The described changes in the functioning of photosynthetic apparatus in drought-treated plants of Kelleris 16 constitute the main distinction between the two investigated genotypes regarding drought adaptation mechanisms.
Defining response of ovarian carcinoma to initial chemotherapy according to serum CA 125.

PURPOSE To produce definitions based on serial CA 125 levels to measure response of ovarian carcinoma in patients receiving first-line chemotherapy. PATIENTS AND METHODS Definitions were derived from analysis of 277 patients in North Thames Ovary Trial 3. Patient data were then incorporated into a computer program and tested against 254 patients in North Thames Ovary Trial 4 and 458 patients in Gynecologic Oncology Group (GOG) protocol 97. For optimum detection of response, three response definitions have been combined into a computer program. The precise definitions use mathematic logic and take account of factors such as intervening samples. Response to a specific treatment has occurred if after two samples there has been a 50% decrease, confirmed by a fourth sample (50% response), or a serial decrease over three samples of greater than 75% (75% response). The final sample has to be at least 28 days after the previous sample. RESULTS Six hundred twenty of 989 patients were considered assessable for response according to CA 125 level. Only two patients (0.3%) had a CA 125 response at the time of clinical progression. The CA 125 response rate was 62% and 54% in the North Thames trials. In the GOG trial, it was 66% in all 317 patients assessable for CA 125 and 67% in 221 patients whose CA 125 level was not measurable according to GOG criteria, compared with a GOG-defined response rate of 62%. The sensitivity for detecting GOG-defined response was at least 68%. CONCLUSION Definitions based on a 50% or 75% decrease of CA 125 levels have been shown reliably to define partial response of ovarian cancer in patients receiving first-line chemotherapy. These definitions should be used in addition to or instead of standard response criteria.
Optimization of Complex SPARQL Analytical Queries

Analytical queries are crucial for many emerging Semantic Web applications such as clinical-trial recruiting in Life Sciences that incorporate patient and drug profile data. Such queries compare aggregates over multiple groupings of data which pose challenges in expression and optimization of complex grouping-aggregation constraints. While these challenges have been addressed in relational models, the semi-structured nature of RDF introduces additional challenges that need further investigation. Each grouping required in an RDF analytical query maps to a graph pattern subquery with related groups leading to overlapping graph patterns within the same query. The resulting algebraic expressions for such queries contain large numbers of joins, groupings and aggregations, posing significant challenges for present-day optimizers. In this paper, we propose an approach for supporting efficient and scalable RDF analytics that follows the well known technique of simplifying algebraic expressions of RDF analytical queries in a way that enables better optimization. Specifically, the approach is based on a refactoring of analytical queries expressed in the relational-like SPARQL algebra based on a new set of logical operators. This refactoring achieves shared execution of common subexpressions that enables parallel evaluation of groupings as well aggregations, leading to reduced I/O and processing costs, particularly beneficial for scale-out processing on distributed Cloud systems. Experiments on real-world and synthetic benchmarks confirm that such a rewriting can achieve up to 10X speedup over relational-style SPARQL query plans executed on popular Cloud systems.
Youth Web Spaces: Designing Interfaces as if Youth Mattered

Youth is a period of rapid emotional, physical and intellectual change, where young people progress from being dependent children to independent adults. Young people who are unable to make this transition smoothly can face significant difficulties in both the short and long term. One way to support this transition is to create an environment that enables youth to be well supported through the provision of information and the creation of a community where youth feel empowered to collaborate with their peers as well as decision makers and legislators. This article focuses on exploring the use of the Internet by young people and how youth well-being can be improved through the design of community oriented youth-friendly web spaces. This article begins with a definition of youth well-being and what this means in the context of the web. We propose key requirements for the design of youth web spaces that may result in their well-being. These conceptual requirements then motivate us to propose interface design requirements for youth web spaces. Furthermore, we propose a framework that can guide the design and implementation of community oriented youth web spaces.
Design and fabrication of a GaAs/Al0.4Ga0.6As micro-accelerometer based on piezoresistive effect

In this paper, a novel piezoresistive accelerometer based on the piezoresistive effect of GaAs/Al0.4Ga0. 6As thin films was designed. The piezoresistive accelerometer contains four suspended flexural beams and a central proof mass configuration. The piezoresistive effect of a piezoresistor or thin film was used to make a resistor changing the output that is proportional to applied acceleration. The GaAs-based piezoresistive accelerometer was prepared with advanced surface micromachining processes, and bulk micromachining processes. Finally, the static pressure experiments were conducted on the sensing element. The experimental results showed that the combined semiconductor heterostructures and mechanical cantilevers have a good stress sensitive characteristic. The integration of these technologies promises to bring about a revolution in the applications of the semiconductor fine-structure devices.
Visualization support for requirements monitoring in systems of systems

Industrial software systems are often systems of systems (SoS) whose full behavior only emerges at runtime. The systems and their interactions thus need to be continuously monitored and checked during operation to determine compliance with requirements. Many requirements monitoring approaches have been proposed. However, only few of these come with tools that present and visualize monitoring results and details on requirements violations to end users such as industrial engineers. In this tool demo paper we present visualization capabilities we have been developing motivated by industrial scenarios. Our tool complements ReMinds, an existing requirements monitoring framework, which supports collecting, aggregating, and analyzing events and event data in architecturally heterogeneous SoS. Our visualizations support a ‘drill-down’ scenario for monitoring and diagnosis: starting from a graphical status overview of the monitored systems and their relations, engineers can view trends and statistics about performed analyses and diagnose the root cause of problems by inspecting the events and event data that led to a specific violation. Initial industry feedback we received confirms the usefulness of our tool support. Demo video: https://youtu.be/iv7kWzeNkdk.
Knowledge sourcing by multidivisional firms

While the real options perspective recognizes that firms are complex, non- monolithic entities, its application to the study of R&D investments under uncertainty has largely been at the firm level. This study examines how the internal distribution of capabilities across divisions affects knowledge-sourcing strategies of multidivisional firms. Our formal model shows that, under low uncertainty, firms commit resources to strong divisions to maximize returns. Under high uncertainty, however, they invest more in weak divisions for fear of omitting a potential winner. These choices are interdependent in that higher returns from the revealed winner when sourcing late-stage knowledge (low uncertainty) gives the firm incentive to cast a wider net in the early stage (high uncertainty). Consequently, at the firm level, more unequal distribution of capabilities across divisions leads to more early- stage sourcing but less late-stage sourcing. We find empirical support for these predictions using data on knowledge-so.
Service robots navigation using pictographs detection for indoor environment

In our current research, we have developed a practical localization system for an indoor service vehicle. In order to realize the practical use, a required self-position estimating system should have high reliability and be low cost. Usually, a localization scheme with special landmarks, which are equipped in navigation area beforehand, is high reliability. However, the special marker causes an increasing of its cost and in general environment, it is difficult to set many special markers all over the service area of the robot, in practical use. Therefore, in this paper, we propose a novel positioning system that does not require special markers. Our key idea is that our proposed localization system estimates its position using pictographs. Pictographs are widely used in general environment with human such as offices, stations and welfare care facilities. Using them as a landmark, our system does not require special markers and realizes high reliability. Our robot system equips only a low-cost camera and uses SURF (Speeded Up Robust Feature) algorithm for detecting pictographs. By detection results of pictographs and using them as a landmark, our system estimates the relative position using pictographs as a landmark, and it derives the robot's path to the goal position. We verify the effectiveness of our scheme by experiments with our prototype.
Non-compliance and Fisheries Policy Formation Regulations

Most fisheries are subject to regulation in one form or another. In general, fishery regulations are intended to achieve particular social objectives which would not result were individual fishing firms allowed, freely, to pursue their private objectives. Such social objectives include controlling the level of catches in order to ensure that the fishery is sustainable into the future and (in some cases at least) the achievement of economic efficiency in fishery exploitation.1 Note that for practical or ideological reasons many fisheries are regulated with the sole objective of preventing (further) resource depletion and in such cases the regulatory instruments in place may actually lead demonstrably to economically inefficient outcomes.2 In many fisheries there are also regulations that are put in place in order to achieve non-economic or distributional objectives, the resolution of conflicts between different user groups [1, 2]. Clearly, achievement of the intended objectives of regulations depends crucially on fishers’ compliance with those regulations. Misperceptions by fisheries managers on compliance behaviour of fishers may lead to the actual outcomes of policies differing substantially from the intended outcomes. Further, non-compliance distorts the information flow between the industry and scientists. In this chapter, we consider the issue of regulatory compliance in fisheries. We also consider how such compliance might be incorporated into a bioeconomic models in order to assess the likely outcomes of changes in management regimes.
Pitch-Adaptive Front-End Features for Robust Children's ASR

In the presented work, we explore some of the challenges in recognizing children’s speech on automatic speech recognition (ASR) systems developed using adults’ speech. In such mis-matched ASR tasks, a severely degraded recognition performance is observed due to the gross mismatch in the acoustic attributes between those two groups of speakers. Among the various sources of mismatch, we focus on the large differences in the average pitch values across the adult and child speakers in this work. Earlier studies have shown that the Mel-ﬁlterbank employed in the feature extraction is not able to smooth out the pitch harmonics sufﬁciently in particularly for the high-pitched child speakers. As a result of that, the acoustic features derived for the adult and the child speakers turn out to be significantly mismatched. For addressing this problem, we propose a simple technique based on adaptive-liftering for deriving the pitch-robust features. This enables us to reduce the sensitivity of the acoustic features to the gross variations in pitch across the speakers. The proposed features are found to result in improved performance in the context of deep neural network based ASR system. Further with the use of the existing feature normalization techniques, additional gains are noted.
Corporate association strategies and consumer responses: The relative effectiveness of CA versus CSR communication strategy by industry type

Abstract Given the importance of communication in the realm of corporate associations, this study analyzes the roles that communication strategies play in the formation of corporate associations. The study examines (1) whether particular types of associations (corporate ability or corporate social responsibility associations) can be developed through CA- or CSR-based communication strategies, and (2) the relative effectiveness of these two association types at amplifying favorable consumer responses across three different industries (consumable goods, durable goods, and stigmatized goods). An experiment was conducted to test the proposed model with six Fortune 500 companies. The results demonstrate that communication strategies can effectively facilitate a particular type of association. Differing levels of association effectiveness were found within each industry. For the consumable goods industry, CA associations are found to be more effective than CSR associations. For the durable goods industry, CSR associations are more influential at enhancing consumer attitudes and purchase intent than CA associations, while CA associations have a larger impact on supportive communication intent. In the case of the stigmatized industry, CSR associations play a determinant role in fostering positive consumer responses. This study provides managers and communication specialists with more concrete guidance for choosing a particular corporate positioning and communication strategy.