Miracle-dz/UniFAR-FTUs huggingface dataset:
Paclitaxel is necessary for improved survival in epithelial ovarian cancers with homologous recombination gene mutations

PURPOSE To investigate the impact of somatic mutations in homologous recombination (HR) genes on the chemotherapeutic response and survival of patients with epithelial ovarian cancer (EOC). EXPERIMENTAL DESIGN We performed targeted massively parallel sequencing of tumor DNA from 158 patients with EOC. We associated adjuvant chemotherapy and clinical outcome with mutations in selected genes, focusing on those encoding HR proteins. RESULTS HR mutations were found in 47 (30%) tumors. We did not detect an overall survival (OS) difference in advanced stage patients whose tumors had HR mutations compared to those without (median OS of 49.6 months (95% CI 29.9-57.7) vs. 43.3 months (95% CI 31.9-75.47), p = 0.87). However, when stratified by chemotherapy regimen, patients whose tumors had TP53 and HR mutations demonstrated a marked survival advantage when treated with platinum and paclitaxel vs. platinum +/− cyclophosphamide (median OS of 90 months (95% CI 50-NA) vs. 29.5 months (95% CI 17.7-50.5), p = 0.0005). CONCLUSIONS Previous studies demonstrating a survival advantage for EOC patients with somatic HR mutations have been conducted with almost universal use of both platinum and paclitaxel. Our study is the first to our knowledge to compare cohorts with somatic HR gene mutations treated with and without paclitaxel containing platinum regimens. The survival benefit attributed to the platinum sensitivity of HR deficient ovarian cancers may depend upon the combined use of paclitaxel.
Fear of Overbuilding in the Office Sector: How Real is the Risk and Can We Predict It?

After a prolonged hiatus following the boom of the 1980s, the pace of office construction has begun to increase, raising the specter of overbuilding in several metropolitan areas (MSAs). Research has shown that commercial property markets are prone to overbuilding, however, there is a dearth of research on construction cycles at the MSA level. This article examines three techniques that can be used to examine the probability of overbuilding within the office sector. Based on quarterly data from 1977-1997, this research concludes that both base employment and the Space Market Index provide the most practical methods for assessing the risk of overbuilding. There is considerable variation across MSAs in terms of the risk of overbuilding. This has important implications for real estate investors from a tactical asset allocation viewpoint.
Youth smoking prevalence in developing countries: effect of advertising bans

This paper examines the effect of tobacco advertising bans on youth smoking prevalence in developing countries. Despite little direct empirical analysis of this issue, public health professionals frequently propose advertising bans as a first step in dealing with youth smoking. Using a Bayesian learning model, the paper first develops a plausible mechanism for an effect of advertising bans on youth smoking. Advertising is hypothesized to alter youth perceptions of the ubiquity of smoking and the risks associated with this behavior. Using survey-based data, a cross-country linear probability model of youth smoking prevalence is estimated, including gender results, pooled results, and results by frequency of smoking (30-day, ever-smoked). Explanatory variables are included for income, demographics, advertising bans, and several other important policy variables (health warnings, prohibition of sales to minors, school classes, antismoking messages, access in retail stores). The empirical results indicate that advertising bans have no effect on youth smoking prevalence in developing countries. This result holds for complete bans as well as partial bans. Some of the results suggest that school classes and other education efforts would be effective as a means to alter or affect youth perceptions of the risks associated with smoking.
Sources of Motivation, Interpersonal Conflict Management Styles, and Leadership Effectiveness: A Structural Model

126 leaders and 624 employees were sampled to test the relationship between sources of motivation and conflict management styles of leaders and how these variables influence effectiveness of leadership. Five sources of motivation measured by the Motivation Sources Inventory were tested—intrinsic process, instrumental, self-concept external, self-concept internal, and goal internalization. These sources of work motivation were associated with Rahim's modes of interpersonal conflict management—dominating, avoiding, obliging, complying, and integrating—and to perceived leadership effectiveness. A structural equation model tested leaders' conflict management styles and leadership effectiveness based upon different sources of work motivation. The model explained variance for obliging (65%), dominating (79%), avoiding (76%), and compromising (68%), but explained little variance for integrating (7%). The model explained only 28% of the variance in leader effectiveness.
Importance of Informational Labeling in Exporting Beef to South Korea: Preferences of Retailers, Wholesalers and Importers /доклад на 10 конгрессе ЕААЕ, Exploring Diversity in the European Agri-Food System, Zaragoza, Spain, 28-31 August 2002

Country of origin labeling and brand labeling play important roles in affecting purchasing behavior of buyers in the Korean beef supply chain. This paper presents a model which explain differences in the attitudes and purchase behaviors of three marketing groups regarding country of origin and other important quality attributes. The results show some of the diversity of buyers’ attitudes, preferences and willingness to pay for different country of origin and brand of foreign packers in three marketing groups.
b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

In this paper, we study several critical issues which must be tackled before one can apply b-bit minwise hashing to the volumes of data often used industrial applications, especially in the context of search. 1. (b-bit) Minwise hashing requires an expensive preprocessing step that computes k (e.g., 500) minimal values after applying the corresponding permutations for each data vector. We developed a parallelization scheme using GPUs and observed that the preprocessing time can be reduced by a factor of 20-80 and becomes substantially smaller than the data loading time. 2. One major advantage of b-bit minwise hashing is that it can substantially reduce the amount of memory required for batch learning. However, as online algorithms become increasingly popular for large-scale learning in the context of search, it is not clear if b-bit minwise yields significant improvements for them. This paper demonstrates that $b$-bit minwise hashing provides an effective data size/dimension reduction scheme and hence it can dramatically reduce the data loading time for each epoch of the online training process. This is significant because online learning often requires many (e.g., 10 to 100) epochs to reach a sufficient accuracy. 3. Another critical issue is that for very large data sets it becomes impossible to store a (fully) random permutation matrix, due to its space requirements. Our paper is the first study to demonstrate that $b$-bit minwise hashing implemented using simple hash functions, e.g., the 2-universal (2U) and 4-universal (4U) hash families, can produce very similar learning results as using fully random permutations. Experiments on datasets of up to 200GB are presented.
Emerging drugs for amyotrophic lateral sclerosis

Introduction: Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease that results in increasing disability and that is uniformly fatal. Since its approval in the 1990s, riluzole remains the sole treatment for ALS offering modest survival benefit. While significant advances have been made in the symptomatic management of the disease, more effective drug therapy targeting disease progression is sorely needed. Areas covered: Advances in the understanding of pathogenic mechanisms involved in disease development and progression have provided multiple avenues for developing effective treatment strategies. This review highlights recent discoveries relating to these diverse mechanisms and their implications for the development of drug therapy. Previous human clinical trials that have targeted these pathways are mentioned and ongoing drug trials are discussed. Expert opinion: The search for effective drug therapy faces important challenges in the areas of basic science and animal research, translation of these results into human clinical trials, inherent bias in human studies and issues related to delays in clinical diagnosis. How these issues may be addressed and why ALS research constitutes fertile grounds for drug development not only for this devastating disease, but also for other more prevalent neurodegenerative diseases, is discussed in this review.
TGF‐β signaling and androgen receptor status determine apoptotic cross‐talk in human prostate cancer cells

A signaling interaction between transforming growth factor‐β (TGF‐β) and androgens promotes apoptosis in human prostate cancer cells LNCaP‐TβRII (androgen‐sensitive and TGF‐β responsive). This study investigated the contribution of androgen receptor (AR) in the combined effect of TGF‐β and dihydrotestosterone (DHT), on regulation of apoptosis and AR‐ and TGF‐β mediated transcriptional activity in human prostate cancer cells.
Privacy-Aware Multidimensional Mobile Service Quality Prediction and Recommendation in Distributed Fog Environment

With the ever-increasing popularity of mobile computing technology, a wide range of computational resources or services (e.g., movies, food, and places of interest) are migrating to the mobile infrastructure or devices (e.g., mobile phones, PDA, and smart watches), imposing heavy burdens on the service selection decisions of users. In this situation, service recommendation has become one of the promising ways to alleviate such burdens. In general, the service usage data used to make service recommendation are produced by various mobile devices and collected by distributed edge platforms, which leads to potential leakage of user privacy during the subsequent cross-platform data collaboration and service recommendation process. Locality-Sensitive Hashing (LSH) technique has recently been introduced to realize the privacy-preserving distributed service recommendation. However, existing LSH-based recommendation approaches often consider only one quality dimension of services, without considering the multidimensional recommendation scenarios that are more complex but more common. In view of this drawback, we improve the traditional LSH and put forward a novel LSH-based service recommendation approach named , to protect users’ privacy over multiple quality dimensions during the distributed mobile service recommendation process.
A NOVEL RELEVANCE METRIC PREDICTION ALGORITHM FOR A PERSONALIZED WEB SEARCH

Software metrics are the key performance indicators, using which the performance of a system can be assessed quantitatively. Metrics can also be applied for personalized web search which can be used to retrieve relevant results for each individual user depending on their unique profile. Although personalized search based on user profile has been under research for many years and various metrics have been proposed, it is still uncertain whether personalization is unswervingly effective on different queries for different user profiles. We present a framework for personalized search which retrieves result based on user profile and query type. Also we evaluate the performance of proposed system using relevance evaluation metrics.
Global Imbalances in a World of Inflexible Real Exchange Rates and Capital Controls

Abstract This paper addresses the issue of international payments in a stock-flow framework, by capturing the interaction between the current account balance and international assets portfolios of domestic and foreign investors. It is argued that the stability of such interactions may be affected by shifts in the preferences of investors, by the relative rate of return of different assets and – more generally – by institutional settings. The model is then used for policy analysis purposes in order to derive the conditions for the existence of dynamic equilibria, and if they can be attained, under the assumption of various market-distorting policy choices.
Motion‐corrected free‐breathing delayed enhancement imaging of myocardial infarction

Following administration of Gd‐DTPA, infarcted myocardium exhibits delayed enhancement and can be imaged using an inversion‐recovery sequence. A conventional segmented acquisition requires a number of breath‐holds to image the heart. Single‐shot phase‐sensitive inversion‐recovery (PSIR) true‐FISP may be combined with parallel imaging using SENSE to achieve high spatial resolution. SNR may be improved by averaging multiple motion‐corrected images acquired during free breathing. PSIR techniques have demonstrated a number of benefits including consistent contrast and appearance over a relatively wide range of inversion recovery times (TI), improved contrast‐to‐noise ratio, and consistent size of the enhanced region. Comparison between images acquired using segmented breath‐held turbo‐FLASH and averaged, motion‐corrected, free‐breathing true‐FISP show excellent agreement of measured CNR and infarct size. In this study, motion correction was implemented using image registration postprocessing rather than navigator correction of individual frames. Navigator techniques may be incorporated as well. Magn Reson Med 53:194–200, 2005. Published 2004 Wiley‐Liss, Inc.
Social Capital and the Internet: Evidence from Swiss Panel Data

A lively debate has recently emerged about the consequences of the diffusion of the Internet. While many social scientists emphasize the beneficial economic consequences of the Internet some suspect that it has also disadvantages for users' social capital. So far the existing empirical evidence concerning the effect on social capital is mainly based on cross-sectional data and is still contradictory. This study is based on a longitudinal survey conducted in 1998 and 2001 among a random sample of Swiss citizens. It analyzes the determinants of the adoption of the Internet and the consequences for respondents' personal networks as well as the time they spent socializing with their network. The results show that the Internet was adopted sooner by individuals with high financial, human and social capital. Furthermore, the results suggest that Internet use is not associated with a reduction in respondents' networks or with the time they spent socializing with friends. Instead the findings suggest that the time users devote to the Internet is taken away from the time they spend on watching television. Copyright WWZ and Helbing & Lichtenhahn Verlag AG 2003.
A new study of the Chinese regions in a neoclassical framework of models of growth

This study tests economic growth and convergence across the Chinese provinces during the period 1981–2005 based on augmented neoclassical growth models where land is included as a production input. A positive steady-state growth of per capita output cannot be sustained if the population growth rate or the output elasticity of land is sufficiently high. The study implements a panel data approach and shows that land may have an output elasticity as high as 1/3, suggesting that the natural environment indeed poses an important constraint on China's economic growth. In this study of the Chinese provinces, the panel data approach has implied much higher rates of conditional convergence in per capita output, compared with cross-section estimations.
Changes in Autonomic Regulation Induced by Physical Training in Mild Hypertension

The adaptive effects of physical training on cardiovascular control mechanisms were studied in 11 subjects with mild hypertension. In these subjects we assessed the gain of the heart periodsystolic arterial pressure relationship in the unfit and the fit state by using 1) an open loop approach, whereby the gain is expressed by the slope of the regression of heart period as a function of systolic arterial pressure, during a phenylephrine-induced pressure rise and 2) a closed loop approach with proper simplification, whereby the gain is expressed by the index a, obtained through simultaneous spectral analysis of the spontaneous variabilities of heart period and systolic arterial pressure. Both methods indicated that training significantly increased the gain of the relationship between heart period and systolk arterial pressure at rest and reduced arterial pressure and increased heart period significantly. This gam was drastically reduced during bicycle exercise both in the unfit and fit state. In a second group of normotensive (n = 7; systolic pressure, 133 ± 3 mm Hg) and hypertensive (n = 7; systolic pressure, 180 ± 10 mm Hg) subjects undergoing 24 -hour diagnostic continuous ekctrocardiographic and high fidelity arterial pressure monitoring, the index a was significantly reduced in the hypertensive group at rest. Furthermore, when analyzed continuously over the entire 24-hour period, this index underwentminute-to-minute changes with lower values during the day and higher values during the night. We propose the index a as a quantitative indicator of the changes in the gain of baroreceptor mechanisms occurring with physical training in mild hypertension and during a 24-hour period in ambulatory subjects.
Probabilistic Social Choice Based on Simple Voting Comparisons

A social choice procedure is developed for selecting an alternative from a finite set on the basis of paired-comparison voting. Ballot data are used to construct a lottery on the alternatives that is socially as preferred as every other lottery. The constructed lottery is then used to select a winner. An axiomatization of social preferences among lotteries that justifies the procedure is included. The procedure will always select a consensus majority alternative when one exists, and it will never select an alternative that is Pareto dominated by another alternative.
An Empirical Study on Effects of Korea’s Cultural Exports

This paper aims to find how Korea’s cultural exports, a measure of cultural proximity, influence its total exports. Centered on consumption goods, detailed product-by-product analyses are also conducted. Empirical analyses using the gravity model show that a 100% increase of Korea’s cultural exports has the effect of increasing total exports by 3.9-4.7%; the export increasing impact of reproducible cultural goods is 3.8-6.1%. The one-year lagged cultural exports also significantly affect the current total exports. Although the overall positive impact of cultural exports is stronger to those of nondurable consumer goods, exports of some durable goods are also positively influenced by them. Meanwhile, the positive impact of cultural exports is larger in higher-income nations. In the case of higher-income countries, the export-increasing effect is larger on durable consumer goods, but, in the case of lower-income countries, larger on nondurable consumer goods. Asian countries are more positively affected by Korea’s cultural exports than those in the other regions. From the viewpoint of trade policy, Korea should take greater interest in cultural exports to higher-income countries in order to increase their positive impact.
A Critical Review of Time in the Internationalization Process of Firms

Abstract This article analyzes the relation between time and experiential knowledge development in the internationalization process of firms. Based on the international marketing literature, international business literature and learning literature, this article critically reviews the relationship between time and firms' learning process. We define time as the time spent in foreign operations, which we will call duration. We conclude that time is important in internationalization process models. However, there is no uniform treatment of time in the current literature. Our literature review shows that the current knowledge of time and its relationship to knowledge accumulation in internationalizing firms is over-simplistic. Other researchers have presumed a linear and continuous relationship between time and knowledge accumulation in firms. We argue that the above relationship is more likely to be non-linear and discontinuous. We conclude that more research is required on the effect of time on knowledge accumulation in internationalizing firms.
Prevalence and risk factors associated with chronic kidney disease in a Zhuang ethnic minority area in China

Numerous studies have examined and reported a high prevalence of chronic kidney disease (CKD) in the general population in various countries including China. However, the situation may be different in undeveloped rural minority regions in China because of China's economic diversity. The aim of the present study was to estimate the prevalence of CKD and to analyze its associated factors in a Zhuang ethnic minority area in Southwest China.
The Role of Intuition and Deliberation for Exploration and Exploitation Success

Advances in social and cognitive psychology and related fields have drawn attention to the role of intuition in organizational decision making. In this study we link intuitive and deliberate decision‐making styles to the success of exploration and exploitation activities, which are understood as two qualitatively opposing strategies that organizations can adopt. We provide empirical evidence that the two opposing strategies are linked to two opposing styles of decision making – intuitive and deliberate. In doing so, we draw on data which we received from 140 entrepreneurs and managing partners of Austrian companies and show that exploration is strongly related to intuitive decision making whereas exploitation draws on both intuitive and deliberate decision making. Based on our findings, we stress the complementarity of the two decision‐making styles, and point out that particularly in the light of the fast‐changing premises in which organizations have to manoeuvre today, decision makers are well advised to use both decision‐making styles to their best benefit.
Interactions of human antibodies, epitope exposure, antibody binding and neutralization of primary isolate HIV-1 virions

Objective: Development of an effective HIV vaccine has been limited because of the inherent structural properties of the HIV envelope on native virions and the failure of the immune system to respond in an effective manner. Identification of the interactions of human antibodies with virions resulting in neutralization will facilitate vaccine design. Design: Combinations of human monoclonal antibodies (hMAb) were studied for binding to and neutralization of primary isolate virions. Methods: Virion binding and neutralization were measured using primary isolate virions. Results: Antibodies and combinations of antibodies to epitopes exposed upon CD4 binding (CD4i) and V3 loop antibodies resulted in additive binding and neutralization of R5X4 virus. Antibodies did not bind to or neutralize R5 virus as well. The combination of V3 loop antibody with 2G12 resulted in enhanced neutralization and binding to the R5X4 isolate but not the R5 isolate. Preincubation of the R5X4 isolate with F240, a non-neutralizing anti-gp41 antibody, significantly enhanced binding and neutralization by CD4i hMAb and 2F5. F240 also enhanced the binding of 2F5 to the R5 isolate and the neutralization of the R5 isolate mediated by 2G12. Conclusions: Neutralizing epitopes are obscured on intact primary isolate virions and are dynamically exposed upon ligand (CD4) interactions. Interestingly, a non-neutralizing antibody to gp41 also increased binding and neutralizing activity of some hMAb that poorly neutralized R5 virus. These data suggest that non-neutralizing epitopes may be appropriate targets for vaccine design and epitope exposure should be considered in the development of immunotherapeutic strategies for HIV.