Miracle-dz/UniFAR-FTUs huggingface dataset:
Signet ring colorectal carcinoma: Do we need to improve the treatment algorithm?

AIM To elaborate about this peculiar variant from a tertiary cancer center from India. METHODS It’s a retrospective study (2011-2014) of all patients diagnosed with signet ring colo-rectal cancer (SRCC). Various clinico-pathological variables were studied. RESULTS One hundred and seventy consecutive patients with SRCC were diagnosed (11.4% of all colorectal cancers). Median Age of the cohort was 41 years. Most common location was recto-sigmoid area (54.7%). Majority patients presented in stage III and IV (91.2%). Most of the stage IV patients had isolated peritoneal metastases (86.5%). Colonic tumors had higher incidence of peritoneal metastases (91.8% vs 83.3%) as well as isolated peritoneal recurrences (37.5% vs 16.7%) than rectal primaries. Thirty-seven point five percent of patients recurred after curative surgery. Amongst them 63.63% patients had isolated peritoneal recurrences. Circumferential resection margin (CRM) was involved in 17.9% patients. Median relapse free survival (RFS) and overall survival (OS) of the cohort were 14.9 and 18.13 mo respectively. CRM involvement, colonic primary were associated with poorer RFS and OS. CONCLUSION SRCC has predilection for peritoneal dissemination. More aggressive and/or extended chemotherapy schedules as well as prophylactic hyperthermic intra-peritoneal chemotherapy at the time of primary surgery may be attempted in these patients.
Do Demanding Conditions Help or Hurt Self-Regulation?

Although everyday life is often demanding, it remains unclear how demanding conditions impact self-regulation. Some theories suggest that demanding conditions impair self-regulation, by undermining autonomy, interfering with skilled performance and working memory, and depleting energy resources. Other theories, however, suggest that demanding conditions improve self-regulation by mobilizing super-ordinate control processes. The present article integrates both kinds of theories by proposing that the self-regulatory impact of demanding conditions depends on how people adapt to such conditions. When people are action-oriented, demanding conditions may lead to improved self-regulation. When people are state-oriented, demanding conditions may lead to impaired self-regulation. Consistent with this idea, action versus state orientation strongly moderates the influence of demands on self-regulatory performance. The impact of demanding conditions on self-regulation is thus not fixed, but modifiable by psychological processes. Demanding conditions are pervasive in everyday life. At the workplace, employees need to stay abreast of rapid technological innovations and deal with constant pressures towards increased efficiency and productivity. In educational settings, students must meet high standards of academic excellence, often while performing low-paying jobs to cover high tuitions and while taking care of their family members. Even among friends, there are always emails to be responded to, birthdays to be remembered, meetings to be arranged, favors to be returned, along with countless other duties and obligations. Given that demanding conditions are exceedingly common, it is important to understand how people can most effectively deal with such conditions. Unfortunately, psychological theories offer seemingly contradictory insights into this matter. Some influential theories propose that demanding conditions are likely to undermine self-regulation (Baumeister & Showers, 1986; Beilock, Kulp, Holt, & Carr, 2004; Deci & Ryan, 2000; Muraven & Baumeister, 2000). However, other theories suggest that demanding conditions lead people to marshal their self-regulatory resources, resulting in enhanced motivation and self-regulation (e.g., Botvinick, Braver, Barch, Carter, & Cohen, 2001; Brehm & Self, 1989; Trope & Fishbach, 2000). These different theories have very different practical implications. If demanding conditions undermine self-regulation, people will be best off by avoiding demanding conditions. By contrast, if demanding conditions facilitate selfregulation, people may be advised to seek out demanding conditions whenever they can. In the present article, we develop an integrative theoretical analysis of how demanding conditions influence self-regulation. In what follows, we begin by taking a closer look at the basic ways in which demanding conditions might help or hurt self-regulation. Next, drawing upon action control theory (Kuhl, 1984, 1994a), we propose that the self-regulatory impact of demanding conditions depends on people’s mode of adapting to these
The Effects of Time Constraints on Test Case Prioritization: A Series of Controlled Experiments

Regression testing is an expensive process used to validate modified software. Test case prioritization techniques improve the cost-effectiveness of regression testing by ordering test cases such that those that are more important are run earlier in the testing process. Many prioritization techniques have been proposed and evidence shows that they can be beneficial. It has been suggested, however, that the time constraints that can be imposed on regression testing by various software development processes can strongly affect the behavior of prioritization techniques. If this is correct, a better understanding of the effects of time constraints could lead to improved prioritization techniques and improved maintenance and testing processes. We therefore conducted a series of experiments to assess the effects of time constraints on the costs and benefits of prioritization techniques. Our first experiment manipulates time constraint levels and shows that time constraints do play a significant role in determining both the cost-effectiveness of prioritization and the relative cost-benefit trade-offs among techniques. Our second experiment replicates the first experiment, controlling for several threats to validity including numbers of faults present, and shows that the results generalize to this wider context. Our third experiment manipulates the number of faults present in programs to examine the effects of faultiness levels on prioritization and shows that faultiness level affects the relative cost-effectiveness of prioritization techniques. Taken together, these results have several implications for test engineers wishing to cost-effectively regression test their software systems. These include suggestions about when and when not to prioritize, what techniques to employ, and how differences in testing processes may relate to prioritization cost--effectiveness.
Dynamic Recrystallization and Hot Workability of 316LN Stainless Steel

To identify the optimal deformation parameters for 316LN austenitic stainless steel, it is necessary to study the macroscopic deformation and the microstructural evolution behavior simultaneously in order to ascertain the relationship between the two. Isothermal uniaxial compression tests of 316LN were conducted over the temperature range of 950–1150 °C and for the strain rate range of 0.001–10 s−1 using a Gleeble-1500 thermal-mechanical simulator. The microstructural evolution during deformation processes was investigated by studying the constitutive law and dynamic recrystallization behaviors. Dynamic recrystallization volume fraction was introduced to reveal the power dissipation during the microstructural evolution. Processing maps were developed based on the effects of various temperatures, strain rates, and strains, which suggests that power dissipation efficiency increases gradually with increasing temperature and decreasing stain rate. Optimum regimes for the hot deformation of 316LN stainless steel were revealed on conventional hot processing maps and verified effectively through the examination of the microstructure. In addition, the regimes for defects of the product were also interpreted on the conventional hot processing maps. The developed power dissipation efficiency maps allow optimized processing routes to be selected, thus enabling industry producers to effectively control forming variables to enhance practical production process efficiency.
Nighthawk: a two-level genetic-random unit test data generator

Randomized testing has been shown to be an effective method fortesting software units. However, the thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such as the relative frequencies with which methods are called. In this paper, we describe a system which uses agenetic algorithm to find parameters for randomized unit testing that optimize test coverage. We compare our coverage results to previous work, and report on case studies and experiments on system options
Predicting searcher frustration

When search engine users have trouble finding information, they may become frustrated, possibly resulting in a bad experience (even if they are ultimately successful). In a user study in which participants were given difficult information seeking tasks, half of all queries submitted resulted in some degree of self-reported frustration. A third of all successful tasks involved at least one instance of frustration. By modeling searcher frustration, search engines can predict the current state of user frustration and decide when to intervene with alternative search strategies to prevent the user from becoming more frustrated, giving up, or switching to another search engine. We present several models to predict frustration using features extracted from query logs and physical sensors. We are able to predict frustration with a mean average precision of 65% from the physical sensors, and 87% from the query log features.
Near-infrared properties of i-drop galaxies in the Hubble Ultra Deep Field

We analyse near-infrared Hubble Space Telescope (HST)/Near-Infrared Camera and Multi-Object Spectrometer F110W (J) and F160W (H) band photometry of a sample of 27 i′-drop candidate z≃ 6 galaxies in the central region of the HST/Advanced Camera for Surveys Ultra Deep Field. The infrared colours of the 20 objects not affected by near neighbours are consistent with a high-redshift interpretation. This suggests that the low-redshift contamination of this i′-drop sample is smaller than that observed at brighter magnitudes, where values of 10–40 per cent have been reported. The J–H colours are consistent with a slope flat in fν(fλ∝λ−2), as would be expected for an unreddened starburst. However, there is evidence for a marginally bluer spectral slope (fλ∝λ−2.2), which is perhaps indicative of an extremely young starburst (∼10 Myr old) or a top heavy initial mass function and little dust. The low levels of contamination, median photometric redshift of z∼ 6.0 and blue spectral slope, inferred using the near-infrared data, support the validity of the assumptions in our earlier work in estimating the star formation rates, and that the majority of the i-drop candidates galaxies lie at z∼ 6.
Risk Management: Correlation and Dependence in Risk Management: Properties and Pitfalls

Abstract Modern risk management calls for an understanding of stochastic dependence going beyond simple linear correlation. This article deals with the static (nontime- dependent) case and emphasizes the copula representation of dependence for a random vector. Linear correlation is a natural dependence measure for multivariate normally, and more generally, elliptically distributed risks but other dependence concepts like comonotonicity and rank correlation should also be understood by the risk management practitioner. Using counterexamples the falsity of some commonly held views on correlation is demonstrated; in general, these fallacies arise from the naive assumption that dependence properties of the elliptical world also hold in the non-elliptical world. In particular, the problem of finding multivariate models which are consistent with prespecified marginal distributions and correlations is addressed. Pitfalls are highlighted and simulation algorithms avoiding these problems are constructed. Introduction Correlation in finance and insurance In financial theory the notion of correlation is central. The Capital Asset Pricing Model (CAPM) and the Arbitrage Pricing Theory (APT) (Campbell, Lo & MacKinlay 1997) use correlation as a measure of dependence between different financial instruments and employ an elegant theory, which is essentially founded on an assumption of multivariate normally distributed returns, in order to arrive at an optimal portfolio selection. Although insurance has traditionally been built on the assumption of independence and the law of large numbers has governed the determination of premiums, the increasing complexity of insurance and reinsurance products has led recently to increased actuarial interest in the modelling of dependent risks (Wang 1997); an example is the emergence of more intricate multi-line products.
Ten year recurrence after first ever stroke in a Japanese community: the Hisayama study

Background: Very few population based cohort studies have focused on the long term recurrence of stroke. Objective: To examine 10 year cumulative recurrence rates for stroke in a Japanese cohort according to pathological type and clinical subtype of brain infarction. Methods: During a 32 year follow up of 1621 subjects ⩾40 years of age, 410 developed first ever stroke. These were followed up prospectively for 10 years after stroke onset. Results: During follow up, 108 (26%) experienced recurrent stroke. The cumulative recurrence rates were 35.3% at five years and 51.3% at 10 years. The 10 year recurrence rates of subarachnoid haemorrhage (SAH), brain haemorrhage, and brain infarction were 70.0%, 55.6%, and 49.7%, respectively; the difference between SAH and brain infarction was significant (p = 0.004). Most recurrent episodes after SAH or brain haemorrhage happened within a year after the index stroke, whereas recurrence of brain infarction increased consistently throughout the observation period. Cardioembolic stroke had a higher recurrence rate (75.2%) than lacunar infarction (46.8%) (p = 0.049). The 10 year risk of stroke recurrence increased with age after lacunar or atherothrombotic brain infarction, but not after the other types or subtypes. After atherothrombotic brain infarction, cardioembolic stroke, or SAH, the type and subtype of most recurrent strokes were the same as for the index stroke, but recurrence after lacunar infarction or brain haemorrhage showed divergent patterns. Conclusions: Japanese people have higher recurrence rates of stroke than other populations. Recurrence rate after a first brain infarct increases consistently through the next 10 years.
Appearance-Based Place Recognition from 3 D Laser Data Using the Normal Distributions Transform

We propose a new approach to appearance based place recognition from metric 3D maps, exploiting the NDT surface representation. Locations are described with feature histograms based on surface orientation and smoothness, and loop closure can be detected by matching feature histograms. We also present a quantitative performance evaluation using two real-world data sets, one of which is highly self-similar, showing that the proposed method works well in different environments.
An evaluation of a theatre production to encourage non-smoking among elementary age children: 2 Smart 2 Smoke

OBJECTIVE To evaluate the impact of a theatre production on smoking-related attitudes, norms, and intentions of children in grades 1–6 (aged 6–12 years). DESIGN Seventeen schools were randomly selected among 160 that were participating in the implementation of the theatre production 2 Smart 2 Smoke. Schools that participated in the theatre production after 3 December 1997 were assigned as control schools. Assignment of schools to a given date for the theatre production was a random process. Students in grades 1–6 were surveyed before and after the theatre production and associated activities. The data were examined for pretest–posttest differences and intervention-control differences. The school was the unit of analysis. SETTING Elementary schools in the Twin Cities metropolitan area. PARTICIPANTS Students in grades 1–6 in 17 elementary schools. INTERVENTION Two plays2 Smart 2 Smoke for grades 1–3 (6–8 year olds) and grades 4–6 (9–12 year olds), respectively, with follow-up activities for the classroom and home. A national theatre company performed the plays at the schools. MAIN OUTCOME MEASURES Intention to smoke in the future, normative expectations about how many people smoke, functional meanings of smoking, expected outcomes of smoking. RESULTS 10% more students reported that they would never smoke a cigarette after the theatre production. Students in grades 4–6 showed changes in the functional meanings and expected outcomes of smoking. Students in grades 1–3 showed changes in normative expectations. CONCLUSIONS Further research on the impact of live theatre productions as a smoking prevention strategy is recommended.
The Relationship between Development Problems and Use of Software Engineering Practices in Computational Science & Engineering : A Survey

The development of software has become critical to progress in many important scientific and engineering fields. In general, the use of business/IT software engineering practices in these fields is relatively low. This paper describes the results of a survey of Computational Science & Engineering (CSE) developers that analyzed the current state of software engineering in the CSE community. Specifically, we examined four important CSE software development problems and the use of software engineering practices that should help address those problems. The results showed that in general, CSE developers are not using the software engineering practices that would most help those development problems as frequently as they could be.
A Study on the Container Yard Utilization of the Major Ports in Indonesia Eastern Region

This paper attempts to analyze the utilization of container yards of major ports in Indonesian Eastern Region for current condition. In this regard, the study focuse d on ten major ports available in the region. The yard occupation ratio (YOR), a performance indicator of the container yard utiliza tion is calculated using a general standard model. Furthermore, the paper forecasts the demand of the container yard using the growth method in order to evaluate the container yards capacity in the future. The analysis results show that the utilizat ion of the container yards is not optimal in serving the conta iner throughput. In considering the current and future growth of the demand, most of the container yards of the major ports in the re gion need improvement and development efforts in order to increase their serving in the future.
Activity participation of children with complex communication needs, physical disabilities and typically-developing peers

Objective: To describe and compare the context of participation of children with physical disabilities and complex communication needs (Group CCN) in out-of-school activities with children with physical disabilities only (Group PD) and typically-developing peers (Group TD). Method: A cross-sectional, matched, multi-group design was used. Thirty-nine participants between 10–15 years of age were administered the Children's Assessment of Participation and Enjoyment. Results: Kruskall-Wallis analyses revealed that there were significant differences among the three groups for overall location, enjoyment of the activities and with whom they did the social and self-improvement activities with. Mean trends showed that Group CCN participated in activities closer to home rather than in the community, were restricted in social participation and reported higher levels of enjoyment in activity participation than the other two groups. Conclusions: Group CCN appeared to experience differences in participation when compared to peers with and without disability.
Spatial Segregation in Eastern North Pacific Skate Assemblages

Skates (Rajiformes: Rajoidei) are common mesopredators in marine benthic communities. The spatial associations of individual species and the structure of assemblages are of considerable importance for effective monitoring and management of exploited skate populations. This study investigated the spatial associations of eastern North Pacific (ENP) skates in continental shelf and upper continental slope waters of two regions: central California and the western Gulf of Alaska. Long-term survey data were analyzed using GIS/spatial analysis techniques and regression models to determine distribution (by depth, temperature, and latitude/longitude) and relative abundance of the dominant species in each region. Submersible video data were incorporated for California to facilitate habitat association analysis. We addressed three main questions: 1) Are there regions of differential importance to skates? , 2) Are ENP skate assemblages spatially segregated? , and 3) When skates co-occur, do they differ in size? Skate populations were highly clustered in both regions, on scales of 10s of kilometers; however, high-density regions (i.e., hot spots) were segregated among species. Skate densities and frequencies of occurrence were substantially lower in Alaska as compared to California. Although skates are generally found on soft sediment habitats, Raja rhina exhibited the strongest association with mixed substrates, and R. stellulata catches were greatest on rocky reefs. Size segregation was evident in regions where species overlapped substantially in geographic and depth distribution (e.g., R. rhina and Bathyraja kincaidii off California; B. aleutica and B. interrupta in the Gulf of Alaska). Spatial niche differentiation in skates appears to be more pronounced than previously reported.
Boardroom Dynamics and Firm Value

We analyze how board members communicate information within the boardroom and make decisions about projects presented by the CEO. In particular, we augment the existing research by concentrating on how intra-board relationships and possibly divergent board member incentives aect CEO behavior and board characteristics. The strategic interaction within the boardroom and between the board and CEO lend new insights into some previously unexplored determinants of optimal board structure and yields several testable hypotheses. Specically, we nd that reputation concerns may lead to some largely silent board members. In dynamic rm environ
On the well‐posedness of the Cauchy problem for an MHD system in Besov spaces

This paper is devoted to the study of the Cauchy problem of incompressible magneto‐hydrodynamics system in the framework of Besov spaces. In the case of spatial dimension n⩾3, we establish the global well‐posedness of the Cauchy problem of an incompressible magneto‐hydrodynamics system for small data and the local one for large data in the Besov space Ḃ p,rn/p−1 (ℝn), 1⩽p<∞ and 1⩽r⩽∞. Meanwhile, we also prove the weak–strong uniqueness of solutions with data in Ḃ p,rn/p−1 (ℝn)∩L2(ℝn) for n/2p+2/r>1. In the case of n=2, we establish the global well‐posedness of solutions for large initial data in homogeneous Besov space Ḃ p,r2/p−1 (ℝ2) for 2