Miracle-dz/UniFAR-FTUs huggingface dataset:
How to Get Happiness Within Work–Family Conflict? An Integrative Model of Subjective Well-Being Among Young Faculty Members in Universities of Mainland China

Subjective well-being (SWB) is an indicator for the resistance of crisis situations and the promotion of employees’ life quality. In the present research, we examined a moderated mediation model of SWB among 197 young teachers (faculty members) who were working in different universities of mainland China. The results suggested that the slow strategy of life history (slow-LHS) mediates the positive relationship between family involvement (FI) and SWB. Slow-LHS also mediated the relationship between SWB and the interaction of FI × Ability to Focus on Work (AFW). Moreover, AFW moderates the simple mediation model of FI → slow-LHS → SWB. Compared with the high level (+1 SD) of AFW, such a model is more likely to be significant on the medium (0 SD) and low level (−1 SD) of AFW. Therefore, the predictive effect of FI on SWB through the mediation role of slow-LHS can be seen as a compensation mechanism for faculty members of university who are pursuing for well-being but cannot purely focus on the core contents of their work affairs. The implications of these results are discussed.
Discovery-oriented collaborative filtering for improving user satisfaction

Many recommender systems employed in commercial web sites use collaborative filtering. The main goal of traditional collaborative filtering techniques is improvement of the accuracy of recommendation. Nevertheless, such techniques present the problem that they include many items that the user already knows. These recommendations appear to be good when we consider accuracy alone. On the other hand, when we consider users' satisfaction, they are not necessarily good because of the lack of discovery. In our work, we infer items that a user does not know by calculating the similarity of users or items based on information about what items users already know. We seek to recommend items that the user would probably like and does not know by combining the above method and the most popular method of collaborative filtering.
An Empirical Study on the Correlation between ERP Knowledge Management Implementation and Enterprise Operating Performance in Taiwan ’ s Industries

Hi-tech industry plays a vital role in the Taiwanese economy, with products characterized by short product life cycle, great investment amount, fast market changes, and high rate of product upgrade. Under global competitive pressure, the hitech industry has adopted information technology to shorten the process, reduce costs, increase flexibility, improve product or service quality, and thus enhance the enterprise’s core capabilities to achieve perpetual growth. To reach these goals, enterprises are highly motivated to actively strengthen internal and external enterprise resource integration, introduce enterprise resource planning (ERP) and knowledge management (KM), and improve enterprise operating performance. Literature research shows that most researchers and scholars have focused only on ERP systems development and process improvement. Few studies have involved integrating the knowledge management concept to ERP systems and developing ERP knowledge management. This research studies ERP knowledge management, collects, summarizes, and discusses literature related to ERP, knowledge management, ERP knowledge management, the balanced scorecard (BSC), enterprise operating performance, and hi-tech industry, and measures the effects of ERP knowledge management implementation based on survey results using four BSC dimensions; finance, customer, internal business process, and learning and growth. The research results provide standards for enterprises that have introduced ERP knowledge management to measure enterprise operating performance, and a reference for industries developing ERP knowledge management.
SCALABLE COLLABORATIVE FILTERING RECOMMENDATIONS USING DIVISIVE HIERARCHICAL CLUSTERING APPROACH

Recommender system is the most important technology in e-commerce . It is used to suggest valuable products for the customer and improve their business intelligence. Collaborative filtering is a technique which is used to suggest information from similar kinds of users. Scalability is the biggest challenge in collaborative filtering recommender system. When more number of users is increasing in the site the system should provide accurate recommendations for the super user. We use divisive hierarchical clustering approach to overcome this scalability issue when more number of users increases in terms of neighborhood size.
Renal artery revascularization improves heart failure control in patients with atherosclerotic renal artery stenosis.

BACKGROUND Renal artery stenosis (RAS) impacts the pathogenesis and control of heart failure (HF) and may further contribute to increased cardiovascular morbidity and mortality in HF patients. However, the long-term effects of renal artery revascularization on cardiovascular outcomes in HF patients are not well studied. METHODS The prevalence of HF and its effects on all-cause mortality were studied in 163 consecutive patients with systemic hypertension and chronic kidney disease (serum creatinine >2 mg/dL) who underwent percutaneous transluminal renal angioplasty (PTRA) with stenting for atherosclerotic RAS. In addition, in 100 patients with RAS and coexistent HF, we compared the impact of medical treatment (n = 50) versus PTRA (n = 50) on clinical outcomes. RESULTS HF (predominantly normal ejection fraction) was present in 50/163 (31%) patients with systemic hypertension and chronic kidney disease (serum creatinine >2 mg/ dL) undergoing PTRA for RAS and represented the major predictor of all-cause mortality in these patients. When compared with sex-matched RAS and HF patients treated medically, PTRA with stenting was associated with a significant decrease in the New York Heart Association Functional Class (1.9 +/- 0.8 versus 2.6 +/- 1.0, P < 0.04) and a 5-fold reduction in the number of hospitalizations. However, renal artery revascularization did not impact mortality. CONCLUSION HF was present in one-third of patients with renal dysfunction and atherosclerotic RAS who were referred for PTRA. The presence of HF was associated with a significantly increased risk of death after PTRA with stenting. Renal artery revascularization resulted in improved HF control and a reduction in HF hospitalizations.
A Highly Versatile Single-Port System for Minimally Invasive Surgery

This work presents the design of a highly flexible, single-port platform to perform laparoscopic single-port surgery. The platform comprises two manipulators and a telescope that are combined into one unit to enable interventions through a single access. All the joints of the platform are actuated by flexible transmission mechanisms at the periphery. The presented kinematics of the flexible bending section and manipulator were analyzed in a simulation with a simplified 3D model of the platform. A velocity-based task-space control of the instruments was also implemented. In addition, the realized low-level control of the manipulators is described. The workspace of the manipulator and the applicable forces were evaluated. Furthermore, the results of the accomplished in-vitro as well as in-vivo laparoscopic cholecystectomy are presented.
A TRAFFIC SIGN DETECTOR FOR MOBILE ROBOT LOCALIZATION

This paper describes a visual sensor that is able to localize a mobile robot relatively to planar marks. In our application, the planar marks are traffic signs, very common in urban scenarios. As an application for the sensor, we also propose an approach based on Particle Filters for combining the information from the visual sensor and the robot odometry. Experimental results with an actual mobile robot are presented. Keywords— robot localization, landmark detector, perspective three-point problem.
Cognitive function in COPD

In order to characterise the overall clinical picture of chronic obstructive pulmonary disease (COPD) a better understanding of all relevant comorbidities is required. It is increasingly recognised that COPD is a multi-component disease, but little attention has been paid to its effects on cognitive function. Cognitive dysfunction is associated with increased mortality and disability; however, it remains poorly understood in COPD. This review examines mechanisms of injury and dysfunction to the brain and considers the methods used to evaluate cognition, and assembles evidence concerning the nature and level of cognitive impairment in COPD. Our main findings are: 1) there may be a pattern of cognitive dysfunction specific to COPD; 2) cognitive function is only mildly impaired in patients without hypoxaemia; 3) the incidence of cognitive dysfunction is higher in hypoxaemia; 4) hypoxaemia, hypercapnia, smoking and comorbidities (such as vascular disease) are unlikely to account for all of the cognitive dysfunction seen in COPD; 5) there is weak or no association between cognitive function and mood, fatigue or health status; 6) cognitive dysfunction may be associated with increased mortality and disability; and 7) there is limited evidence for a significant effect of treatment on cognitive function.
No silver bullet: extending SDN to the data plane

The data plane is in a continuous state of flux. Every few months, researchers publish the design of a new high-performance queueing or scheduling scheme that runs inside the network fabric. Many such schemes have been queen for a day, only to be surpassed soon after as methods --- or evaluation metrics --- evolve. The lesson, in our view: there will never be a conclusive victor to govern queue management and scheduling inside network hardware. We provide quantitative evidence by demonstrating bidirectional cyclic preferences among three popular contemporary AQM and scheduling configurations. We argue that the way forward requires carefully extending Software-Defined Networking to control the fast-path scheduling and queueing behavior of a switch. To this end, we propose adding a small FPGA to switches. We have synthesized, placed, and routed hardware implementations of CoDel and RED. These schemes require only a few thousand FPGA "slices" to run at 10 Gbps or more --- a minuscule fraction of current low-end FPGAs --- demonstrating the feasibility and economy of our approach.
Hash-Partitioned Join Method Using Dynamic Destaging Strategy

1 Introduction In this paper we propose a new hash-partitioned join method using a dynamic de&aging strategy for large scale databases. The traditional hash-partitioned join methods such as the Hybrid Hash Join Method assume that the size of each bucket can be controlled by selecting a split function, and the characteristics of the buckets are statically specified. For materializing this assumption, we have to collect information about distributions of the join attribute value before processing a job. In general , however, join operations are applied to relations in which some restrictions are applied, and so it is not easy to collect that information before processing. If we cannot collect the information, the tuple distributions of each bucket may differ from the estimation. An example shows that the processing time in such a case becomes 1.4 times worse than the ideal one. In this paper we propose a strategy in which the destaging buckets are selected dynamically, instead of a static decision of them during the split phase. Using this strategy, we don't have to collect information before processing and this method can be applied in many cases, which are unsuited to traditional methods. When we apply this method to that example which we mentioned, we can get the same performance as the ideal one. Permission to copy without fee d ar pIlt of this matdd is grantaipvidcdtbatrheoopiesmnol2MdCadiStYibutcdfM direct cxxnxnercisl edvmtage. the VLDB copyri&t notice md the title of the public&m and its date spar, d notice is given thatcopyingisbypmikonoftkVay~eI)ruB~ Endowment. To copy othawke, or to republish requinr a fee and/or special permission from the BlKlowmau. Eighteen years have passed since Dr. Codd suggested the relational data model in 1970. Many database systems, including commercial ones, use this data model now. In these systems, relational algebra operations , such as scfeci, project and join, are basic operations for processing tuples of databases. Especially , it is well known that join is an expensive operation and many join methods have been proposed so far [Sto'76,Kit83,DeW85]. Among these join methods, hash-partitioned join methods present good performance as shown in [Kit83,DeW84,Sha86]. In [DeW85], it is also shown that the Nest Loop Join Method is not suitable for large databases and the Hybrid Hash Join Method-one of the hash-partitioned join methods-presents the best behavior among the all of the shown algorithms in its figure 3. We may agree with that result when we have to …
Did Affordable Housing Legislation Contribute to the Subprime Securities Boom?

type="main"> We use a regression discontinuity approach and present new institutional evidence to investigate whether affordable housing policies influenced the market for securitized subprime mortgages. We use merged loan-level data on nonprime mortgages with individual- and neighborhood-level data for California and Florida. We find no evidence that lenders increased subprime originations or altered loan pricing around the discrete eligibility cutoffs for the Government-Sponsored Enterprises' (GSEs) affordable housing goals or the Community Reinvestment Act. Although we find evidence that the GSEs bought significant quantities of subprime securities, our results indicate that these purchases were not directly related to affordable housing mandates.
Stereoscopic Reconstruction Of Retina Images Based On Angiographic And Laser-Scan Ophthalmoscopic Images

here are several imaging devices that enable the acquiition of images from the human retina. In this paper we tart by considering the images obtained by means of ngiography. Stereoscopic (3D) reconstruction is first erformed by using only angiographic images. Next he combination and fusion of information from both ngiographic and laser-scan ophthalmoscopic images is )nsidered in order to overcome a number of difficules associated with the processing of the angiographic nages. From the medical point of view the 3D reconstrucon and quantification of anatomical structures in the uman retina is important for the evaluation of sev:al pathologies. In particular it is very useful to have le 3D quantification and reconstruction of the macu~r edema or thickening of the retina. Also useful is the masurement of the lesions’ thicknesses. This type of :construction is not only useful for diagnosing patholoes but also to evaluate the effects of certain type of eatments. For example it would be helpful to have mh a system to evaluate the reversibility of the laser eatment in small tumors. Angiographic images are acquired by two cameras hose optical axes can be considered parallel. The dif:ulties associated with the angiographic images of the ,tina are a consequence of both the retina geometry ld composition. The retina has basically a spherid shape and is made up of transparent layers of cells. deal with these problems we are using and comparg several types of algorithms for determining stereo )rrespondence. The angiographic images have a large . ~pth of field and therefore several anatomical strucires are simultaneously in focus. Several matching gorithms are being tested, the main diff~culty being le ill-defined boundaries in shape and reflectance of te anatomical structures. To overcome some of these culties we decided to use also laser-scan ophthalmoscopic (L.S.O.) images. L.S. O. images are obtained with extremely shallow depths of field. Furthermore the difference in depth between the several images is also known. However the combination and fusion of data from the reconstructed images from the stereo pairs and the L.S. O. images raises the problem of calibration and registration.
Poverty, social mobility, and the middle class: The case of South Africa

The wave of upbeat stories on the developing world's emerging middle class has reinvigorated a debate on how social class in general and the middle class in particular ought to be defined and empirically measured. With the aim of adding clarity to this debate, this dissertation provides a structured overview of a wide array of definitions of the middle class that have been suggested in the economics literature, and assesses their strengths and shortcomings using South Africa as a case study. Contrary to most standard approaches in the economic realm, the main argument this dissertation makes is that – in contexts marked by high inequality and socio-economic insecurity – social class is insufficiently understood by a person’s current standard of living alone. Addressing this concern, a novel conceptual framework is proposed that takes the unequal distribution of chances of upward and downward social mobility explicitly into consideration when defining class categories. It compares the proposed approach to those that have been suggested in the previous literature, investigates the sources of upward and downward mobility, and illustrates the main messages that can be learnt from linking the demarcation of social strata to an in-depth analysis of mobility patterns. Four main messages emerge from the analysis presented in this dissertation: First, the chosen indicator(s) of social class will certainly make a clear difference not only with respect to the estimated size and growth of the middle class, but especially with regard to its characteristics, needs, and relationship to other economic or political. Second, the notion of economic security and stability is central to the social and political meanings of being middle class. The stable middle class that is identified using (in-)vulnerability to poverty as a class-defining criterion will generally be much smaller than approaches relying on less demanding criteria suggest. For the specific case of South Africa, this research shows that only one out of four persons can be considered stably middle class or elite. Conversely, about half of the population are locked in persistent structural poverty. Third, if the growth of a stable middle class is a desired development outcome and focus of government policy, then an explicit focus on the stability and quality of employment is essential. Not only the lack of jobs, but also the prevalence of casual and precarious forms of work impede the development of a stable middle class. Lastly, there is an important extent of heterogeneity in the political attitudes of the middle class, which is determined by whether people perceive themselves as winners or losers under the existing political system. While those who perceive themselves as being downwardly mobile display signs of political resignation, those people who perceive themselves as upwardly mobile tend, on average, to be less concerned with corruption and more tolerant of government constraints on political freedoms.
The Fiscal Politics of Big Governments: Do Coalitions Matter?

This paper uses a closed voting rule to explain how gradual changes in the socio-economic structure of developed societies shift political coalitions and lead to rapid expansions of transfer programs. Equilibria in a lifecycle economy with three homogeneous groups of voters (retirees, skilled young workers, unskilled young workers) have three properties. One, if income inequality is sufficiently high, unskilled workers and retirees will form a dominant coalition which raises both intragenerational and intergenerational transfers. Two, when capital is abundant relative to labor, government transfers will be strictly intergenerational. Three, all transfers increase when the voting franchise is extended to less affluent individuals.
Intragenerational Cultural Evolution and Ethnocentrism

Ethnocentrism denotes a positive orientation toward those sharing the same ethnicity and a negative one toward others. Previous models demonstrated how ethnocentrism might evolve intergenerationally (vertically) when ethnicity and behavior are inherited. We model short-term intragenerational (horizontal) cultural adaptation where agents have a fixed ethnicity but have the ability to form and join fluid cultural groups and to change how they define their in-group based on both ethnic and cultural markers. We find that fluid cultural markers become the dominant way that agents identify their in-group supporting positive interaction between ethnicities. However, in some circumstances, discrimination evolves in terms of a combination of cultural and ethnic markers producing bouts of ethnocentrism. This suggests the hypothesis that in human societies, even in the absence of direct selection on ethnic marker–based discrimination, selection on the use of fluid cultural markers can lead to marked changes in ethnocentrism within a generation.
On Some Double Lacunary Sequence Spaces of Fuzzy Numbers

In this paper we introduce a new concept for lacunary strong P-convergent with respect to an Orlicz function and examine some properties of the resulting sequence space of fuzzy numbers. We also show that if a sequence is lacunary strong Pconvergence with respect to an Orlicz function then it is S θ r s (F) -convergent.
The Use of Single Base Extension (SBE) for the Assessment of European Mitochondrial DNA Haplogroups in Galician Population

Evidences are accumulating on the effects of the mtDNA variants on many complex traits due to the contribu- tion of mtDNA to cellular physiology. More and more studies are being carried out in order to investigate the possible as- sociations between these mtDNA variants or haplogroups and multifactorial complex diseases. Since the required sample size is high, these large-scale epidemiology studies require a suitable method to assign the mtDNA haplogroups in a rapid, accuracy and cost effective manner. In this study we present an assay, based on primer base extension, which permits the rapid genotyping of samples for the assessment of major European mtDNA haplogroups.
MLL1, a H3K4 methyltransferase, regulates the TNF&agr;-stimulated activation of genes downstream of NF-&kgr;B

Summary Genes of the mixed lineage leukemia (MLL) family regulate transcription by methylating histone H3K4. Six members of the MLL family exist in humans, including SETD1A, SETD1B and MLL1–MLL4. Each of them plays non-redundant roles in development and disease genesis. MLL1 regulates the cell cycle and the oscillation of circadian gene expression. Its fusion proteins are involved in leukemogenesis. Here, we studied the role of MLL1 in innate immunity and found it selectively regulates the activation of genes downstream of NF-&kgr;B mediated by tumor necrosis factor (TNF&agr;) and lipopolysaccharide (LPS). Real-time PCR and genome-wide gene expression profile analysis proved that the deficiency of MLL1 reduced the expression of a group of genes downstream of nuclear factor &kgr;B (NF-&kgr;B). However, the activation of NF-&kgr;B itself was not affected. The MLL1 complex is found both in the nucleus and cytoplasm and is associated with NF-&kgr;B. CHIP assays proved that the translocation of MLL1 to chromatin was dependent on NF-&kgr;B. Our results suggest that MLL1 is recruited to its target genes by activated NF-&kgr;B and regulates their transcription.
Effects of Cooperative Adaptive Cruise Control on traffic flow stability

The effects of Cooperative Adaptive Cruise Control (CACC) on traffic flow is an important issue as traffic flow stability, capacity and safety are concerned. In contrast to most research we focus on traffic flow stability. We use the Intelligent Driver Model and CACC algorithms to assess the effects. A recently field-tested and CACC-based advisory system is also evaluated as an intermediate solution. It is found that CACC can quickly damp shockwaves at lower penetration rates (50%) and that shockwaves move faster.