Miracle-dz/UniFAR-FTUs huggingface dataset:
Breast cancer recurrence according to molecular subtype.

BACKGROUND To evaluate the location of tumor relapse and imaging modality for detection according to the breast cancer subtype: luminal A, luminal B, HER2 positive luminal B, nonluminal HER2 positive, and triple negative. MATERIALS AND METHODS A total of 1244 patients with breast cancer with known estrogen receptor (ER), progesterone receptor (PR), Ki-67 and human epidermal growth factor receptor 2 (HER2), who underwent breast surgery from 2009 to 2012 were analyzed. Patients were classified into the following categories: luminal A (n=458), luminal B (n=241), HER2 positive luminal B (n=227), nonluminal HER2 positive (n=145) and triple negative (n=173). A total of 105 cases of relapse were detected in 102 patients: locoregional recurrence (n=46), recurrence in the contralateral breast (n=28) and distant metastasis (n=31). Comparison of proportions was used to determine the difference between subtypes. RESULTS Relapse rates by subtypes are as follows: luminal A 23 of 458 (5.02%), luminal B 19 of 241 (7.88%), HER2 positive luminal B 15 of 227 (6.61%), nonluminal HER2 postive 19 of 145 (13.10%) and triple negative 29 of 173 (16.76%). Luminal A tumors had the lowest rate of recurrence and had significantly lower recurrence rate in comparison with nonluminal HER2 postive (p=0.0017) and triple negative subtypes (p<0.0001). Compared with all other subtypes except nonluminal HER2 positive, triple negative tumors had the highest rate of tumor recurrence (p<0.01). Triple negatives were most likely to develop contralateral recurrence against all subtypes (p<0.05). Detection rate of locoregional and contralateral tumor recurrence were 28.3% on mammography (n=17/60). CONCLUSIONS Luminal A tumors are associated with a low risk of recurrence while triple negative lesions have a high risk. In case of triple negative tumors, the contralateral breast has much more recurrence as compared with all other subtype. In terms of detection rates, breast USG was the best modality for detecting tumor recurrence, compared with other modalities (p<0.05). Subtyping of breast tumors using a molecular gene expression panel can identify patients who have increased risk of recurrence and allow prediction of locations of tumor recurrence for each subtype.
Developmental changes in the relationship between leptin and adiposity among Tsimané children and adolescents

Leptin is thought to signal energy stores, thus helping the body balance energy intake and expenditure. However, the strong relationship between leptin and adiposity in populations with adequate nutrition or common obesity is not universal across ecologic contexts, and leptin often correlates only weakly, or not at all, with adiposity in populations of lean or marginally‐nourished males. To clarify whether the relationship between adiposity and leptin changes during development, this study examines leptin and body fat among children and adolescents of lowland Bolivia. Anthropometric measures of body composition and dried blood spot samples were collected from 487 Tsimane' ranging from 2 to 15 years of age. Leptin was assayed using an enzyme immunoassay protocol validated for use with blood spot samples. In this population, leptin concentrations were among the lowest reported in a human population (mean ± SD: 1.26 ± 0.5 and 0.57 ± 0.3 in females and males). In addition, the relationship between leptin and adiposity follows distinct developmental trajectories in males and females. In males, leptin is weakly correlated with most measures of body composition at all ages investigated. However, in females, the level of body fat and the strength of the correlation between body fat and leptin (a measure of its strength as a signal of energy stores) both increase markedly with age. These findings suggest a more important role of leptin as a signal of energy stores among females as they approach reproductive maturity, while raising questions about the function of this hormone in lean males. Am. J. Hum. Biol., 2008. © 2008 Wiley‐Liss, Inc.
Enhanced Semantic Access to Software Artefacts

Large software frameworks and applications tend to have a significant learning curve both for new developers working on system extensions and for other software engineers who wish to integrate relevant parts into their own applications. Recent research has begun to demonstrate that semantic technologies are a promising way to address some of these issues. In this paper, we present a semantic-based prototype that is made for an open-source software engineering project with the goal to explore the methods for assisting open-source developers and software users to learn and maintain the system without major effort.
The capital intensity of photovoltaics manufacturing: barrier to scale and opportunity for innovation

Using a bottom-up cost model, we assess the impact of initial factory capital expenditure (capex) on photovoltaic (PV) module minimum sustainable price (MSP) and industry-wide trends. We find capex to have two important impacts on PV manufacturing. First, capex strongly influences the per-unit MSP of a c-Si module: we calculate that the capex-related elements sum to 22% of MSP for an integrated wafer, cell, and module manufacturer. This fraction provides a significant opportunity to reduce MSP toward the U.S. DOE SunShot module price target through capex innovation. Second, a combination of high capex and low margins leads to a poor financial rate of return, which limits the growth rate of PV module manufacturing capacity. We quantify the capex of Czochralski-based crystalline silicon (c-Si) PV manufacturing, summing to 0.68 $/WaCap ($ per annual production capacity in watts, $year/W) from wafer to module and 1.01 $/WaCap from polysilicon to module. At a sustainable operating margin determined by the MSP methodology for our bottom-up scenario, we calculate the sustainable growth rate of PV manufacturing capacity to be ∼19% annually – below the historical trend of ∼50% annually. We conclude with a discussion of innovation opportunities to reduce the capex of PV manufacturing through both incremental and disruptive process innovation with c-Si, platform innovations, and financial approaches.
FORECASTING TIME SERIES OF INHOMOGENEOUS POISSON PROCESSES WITH APPLICATION TO CALL CENTER WORKFORCE MANAGEMENT

We consider forecasting the latent rate profiles of a time series of inhomogeneous Poisson processes. The work is motivated by operations management of queueing systems, in particular, telephone call centers, where accurate forecasting of call arrival rates is a crucial primitive for efficient staffing of such centers. Our forecasting approach utilizes dimension reduction through a factor analysis of Poisson variables, followed by time series modeling of factor score series. Time series forecasts of factor scores are combined with factor loadings to yield forecasts of future Poisson rate profiles. Penalized Poisson regressions on factor loadings guided by time series forecasts of factor scores are used to generate dynamic within-process rate updating. Methods are also developed to obtain distributional forecasts. Our methods are illustrated using simulation and real data. The empirical results demonstrate how forecasting and dynamic updating of call arrival rates can affect the accuracy of call center staffing.
Van Den Bergh isomorphisms in String Topology

Let $M$ be a path-connected closed oriented $d$-dimensional smooth manifold and let ${\Bbbk}$ be a principal ideal domain. By Chas and Sullivan, the shifted free loop space homology of $M$, $H_{*+d}(LM)$ is a Batalin-Vilkovisky algebra. Let $G$ be a topological group such that $M$ is a classifying space of $G$. Denote by $S_*(G)$ the (normalized) singular chains on $G$. Suppose that $G$ is discrete or path-connected. We show that there is a Van Den Bergh type isomorphism $$ HH^{-p}(S_*(G),S_*(G))\cong HH_{p+d}(S_*(G),S_*(G)). $$ Therefore, the Gerstenhaber algebra $HH^{*}(S_*(G),S_*(G))$ is a Batalin-Vilkovisky algebra and we have a linear isomorphism $$HH^{*}(S_*(G),S_*(G))\cong H_{*+d}(LM). $$ This linear isomorphism is expected to be an isomorphism of Batalin-Vilkovisky algebras. We also give a new characterization of Batalin-Vilkovisky algebra in term of derived bracket.
The Taxation of Superstars

How are optimal taxes affected by the presence of superstar phenomena at the top of the earnings distribution? To answer this question, we extend the Mirrlees model to incorporate an assignment problem in the labor market that generates superstar effects. Perhaps surprisingly, rather than providing a rationale for higher taxes, we show that superstar effects provide a force for lower marginal taxes, conditional on the observed distribution of earnings. Superstar effects make the earnings schedule convex, which increases the responsiveness of individual earnings to tax changes. We show that various common elasticity measures are not sufficient statistics and must be adjusted upwards in optimal tax formulas. Finally, we study a comparative static that does not keep the observed earnings distribution fixed: when superstar technologies are introduced, inequality increases but we obtain a neutrality result, finding tax rates at the top unaltered.
EFFECT OF HIGH-INTENSITY INTERVAL TRAINING ON BODY COMPOSITION AND BIOENERGETIC INDICES IN BOYS - FUTSAL PLAYERS

Background: High-intensity interval trainings (HIIT) can result in the best improvement of body fitness among athletes in the shortest possible time. The impact of HIIT on bioenergetic factors of futsal players has not been studied extensively. The objective of the present study was to investigate the effect of 3-week HIIT on body composition indices, maximum aerobic power, and maximum anaerobic power, anaerobic power among boys - futsal players. Material: 30 boys - futsal players (mean± SD age, 13.49±1.03 years; BMI, 20.95±1.78 kg/m 2 ) participated in the study voluntarily. They were randomly assigned to experimental (n=15) and control (n=15) groups. HIIT lasted for three weeks, three sessions a week for 12-36 minutes on treadmill. Weight, body mass index (BMI), waist to hip ratio (WHR), thickness of body fat, maximal aerobic power, and maximum anaerobic power were recorded before intervention and 48 hours after the final training session. Aerobic power was measured with 20-m shuttle run, and maximum anaerobic power was measured with RAST test. Paired sample t-test was used to determine pretest-posttest differences, and independent t-test was used to determine between-group differences. The significance level was set to P < 0.05. Results: Significant differences were found in weight, BMI, thickness of body fat, maximum aerobic power and maximum anaerobic power in experimental group (P = 0.001) before and after training intervention, but the change in WHR was not significant (P < 0.05). No significant differences were observed in selected body composition between experimental and control groups, but they exhibited significant differences in maximum aerobic power and maximum anaerobic power (P = 0.001). Conclusion: According to the results, HIIT can be an effective training program for improving the performance of bioenergetic indices of futsal players. Also, it is recommended to study the effect of similar trainings with longer durations on other indices in other sports in future studies. Keywords: HIIT, VO2max, Maximum anaerobic power.
The pros and cons of prophylactic central compartment lymph node dissection for papillary thyroid carcinoma.

A well-established feature of papillary thyroid carcinoma (PTC) is it propensity to metastasize to cervical lymph nodes in the central and lateral compartments. Currently, there is no nonor minimally invasive method that is completely reliable for detecting all of the metastases that are present. Therefore, some have advocated prophylactic cervical lymph node dissection as part of the operative procedure for PTC. There is no unanimity, however, on the efficacy and safety of prophylactic cervical lymph node dissection for this tumor. At the recent National Thyroid Cancer Workshop II,* two distinguished surgeons, Dr. Gerard M. Doherty from the University of Michigan and Dr. David L. Steward at the University of Cincinnati, were invited to debate the pros and cons of prophylactic cervical lymph node dissection. More specifically, Dr. Doherty was asked to take the positive view and Dr. Steward the contrary view concerning prophylactic central compartment (Level VI) dissection (CLND). By definition, this is a total compartment dissection that is performed when there is no preoperative or intraoperative evidence of cervical lymph-node metastases. Each participant was asked to marshal the case for one side and not necessarily reflect their personal views. To help them prepare, they were given the following hypothetical case to consider. A 22-year-old woman is referred by her endocrinologist for surgical management of an asymptomatic 2-cm PTC diagnosed 1 week before. There is no family history of thyroid cancer, and she has had no exposure to radiation. Her thyroidstimulating hormone (TSH) level is 1.7 (IU=mL. Repeat neck ultrasonography reveals a single 2-cm right lobe thyroid nodule with a hazy border and no lateral or central neck lymph-node abnormalities. The question posed to the debaters is: What are the pros and cons of prophylactic level VI lymph-node dissection for this patient? After the workshop, these surgeons, who are recognized authorities on the surgical management of thyroid cancer, were asked to prepare written commentary based on their presentations. What follows are two concise, carefully articulated, literature-based reviews that support each side of the debate.
How do banks react to increased credit risks? Evidence from Hurricane Katrina∗

Numerous studies show that banks hold capital ratios exceeding the regulatory minimum. This, however, did not hinder the turmoil of the 2007-2009 crisis and stresses the importance of understanding how banks determine their capital ratios. This paper tests the hypothesis that an exogenous increase in the riskiness of banks’ asset portfolios, which initially increases their bankruptcy risks, causes banks to adjust their capital ratios. Using exogenous variation introduced by Hurricane Katrina, which exposed banks in the U.S. Gulf Coast area to unexpected losses and increased credit risks in August 2005, we find that impacted banks act precautionary and increase their capital ratios. This shows that banks are also driven by risk concerns and not purely by regulatory requirements. However, when we examine low-capitalized and high-capitalized banks separately, we find that the precautionary behavior only holds for high-capitalized banks.
Developing the profiles of supermarket customers through data mining

To stay competitive, supermarkets need to develop a viable customer retention strategy. Since a key to the successful development of such a strategy rests with customer relationship management, supermarkets should identify the most profitable ways to build and maintain a loyal customer relationship. In an effort to help supermarkets understand their customers' shopping/patronage behaviour and the ways to retain valued customers, we propose data mining techniques. Using the examples of franchised supermarkets in the south-eastern United States, this paper illustrates the usefulness of the proposed data mining techniques for examining customer grocery shopping behaviour and developing the profiles of loyal patrons.
The Expected Time to Find a String in a Random Binary Sequence

The proverbial monkey typing at random will, given sufficient time, produce the complete works of Shakespeare (along with near misses, good tries, and reams of outright garbage.) How long might this be expected to take? At the risk of being overly reductive, the works of Shakespeare can be viewed as one particular long string of characters. So, more generally, exactly how long is the expected waiting time for a given string to appear in a stream of random characters? The first definitive answer seems to have been given by P.T. Nielsen [11], and rediscovered about 10 years later by G. Blom [2]. Given that the question is interesting and can be solved by relatively elementary means, one suspects that the solution has been rediscovered many times since Nielsen’s paper (and possibly before.) Indeed, the author of one intermediate probability text (see [12, pp 186-187]) discusses the problem, and even hints at its general solution, without providing a reference. In this paper we describe an algorithm for computing the expected time until the first appearance of a given string in random data, and also discuss some related problems. There is little that is new in the arguments we give – they are, for the most part, adapted from the ones given in the papers cited above. We also discuss the connection with some important problems in computation, such as searching efficiently for a given string in arbitrary but non-random text. To focus the ideas we shall confine our attention to the alphabet of binary digits, but all results can be generalized easily to the case of an arbitrary finite alphabet.
Big data query optimization by using Locality Sensitive Bloom Filter

For faster access of data or in network bloom filter plays an important part in searching technique. It process data in short amount of time and frequently with probabilistic analysis. Bloom Filter also decreases the cost of analyzing data. Various applications are using this technology for accessing and processing the data. Thus by implementing Bloom's Filter over big data will result into efficient query accessing in big data. In this paper, an approach to implement Locality Sensitive Bloom Filter (LSBF) technique in big data is proposed. To remove the drawbacks of simple hashing technique, the LSBF must be implemented to store data in the bloom filter which will help to search the most approximate result by using the Locality Sensitive Hashing approach.
Infrageneric phylogeny of Chloantheae (Lamiaceae) based on chloroplast ndhF and nuclear ITS sequence data

The tribe Chloantheae (Prostantheroideae, Lamiaceae) currently consists of over 100 species in nine genera, all of which are endemic to Australia. Generic delimitations were assessed using chloroplast 3′ndhF and nuclear ITS nucleotide sequence data for up to seventy species. Analyses of the two datasets, independently and in combination, used maximum parsimony and Bayesian phylogenetic inference methods. Topologies derived from each marker were broadly congruent, but better resolution and stronger branch support was achieved by combining the datasets. The monophyly of the Chloantheae was confirmed. Brachysola is sister to the rest of the tribe and Chloanthes, Cyanostegia and Dicrastylis (including Mallophora) are monophyletic. Although the species within Dicrastylis were only partially resolved, it appears likely that the current sectional classification of this genus will require revision. A clade containing Newcastelia, Physopsis and Lachnostachys (=Physopsideae) was recovered, but the topology indicates that the current generic circumscriptions need further investigation. A close relationship between Hemiphora elderi, Pityrodia bartlingii and P. uncinata was resolved and reflects their palynological and carpological similarities. The relationship between remaining species of Pityrodia was incompletely resolved.
A traversal-based algorithm for higher-order model checking

Higher-order model checking - the model checking of trees generated by higher-order recursion schemes (HORS) - is a natural generalisation of finite-state and pushdown model checking. Recent work has shown that it can serve as a basis for software model checking for functional languages such as ML and Haskell. In this paper, we introduce higher-order recursion schemes with cases (HORSC), which extend HORS with a definition-by-cases construct (to express program branching based on data) and non-determinism (to express abstractions of behaviours). This paper is a study of the universal HORSC model checking problem for deterministic trivial automata: does the automaton accept every tree in the tree language generated by the given HORSC? We first characterise the model checking problem by an intersection type system extended with a carefully restricted form of union types. We then present an algorithm for deciding the model checking problem, which is based on the notion of traversals induced by the fully abstract game semantics of these schemes, but presented as a goal-directed construction of derivations in the intersection and union type system. We view HORSC model checking as a suitable backend engine for an approach to verifying functional programs. We have implemented the algorithm in a tool called TravMC, and demonstrated its effectiveness on a test suite of programs, including abstract models of functional programs obtained via an abstraction-refinement procedure from pattern-matching recursion schemes.
The use of 3D body scanning technology to assess the effectiveness of shapewear: changes in body shape and attractiveness

ABSTRACT This study investigated the effectiveness of shapewear by examining changes in body shape (CBS) and waist-to-hip ratio (WHR) using 3D body scanning technologies and by exploring an understanding of individuals’ perceived body shape and body attractiveness. Using a mixed methods research design, a total of 24 female respondents participated in one of two sessions: quantitative session (n = 13) and follow-up qualitative session (n = 11). The results showed that measured CBS were inconsistent with the perceived CBS: a majority of the participants perceived CBS because wearing a shapewear helped them get closer to an hourglass shape and become straighter in the posture, which were not corresponding to the body measurements. Furthermore, significantly lower WHR was partially consistent to perceived attractiveness in general. However, a few participants perceived their bodies as more attractive although their WHR were not changed or even increased.
Single Nucleotide Polymorphism Analysis of European Archaeological M. leprae DNA

Background Leprosy was common in Europe eight to twelve centuries ago but molecular confirmation of this has been lacking. We have extracted M. leprae ancient DNA (aDNA) from medieval bones and single nucleotide polymorphism (SNP) typed the DNA, this provides insight into the pattern of leprosy transmission in Europe and may assist in the understanding of M. leprae evolution. Methods and Findings Skeletons have been exhumed from 3 European countries (the United Kingdom, Denmark and Croatia) and are dated around the medieval period (476 to 1350 A.D.). we tested for the presence of 3 previously identified single nucleotide polymorphisms (SNPs) in 10 aDNA extractions. M. leprae aDNA was extracted from 6 of the 10 bone samples. SNP analysis of these 6 extractions were compared to previously analysed European SNP data using the same PCR assays and were found to be the same. Testing for the presence of SNPs in M. leprae DNA extracted from ancient bone samples is a novel approach to analysing European M. leprae DNA and the findings concur with the previously published data that European M. leprae strains fall in to one group (SNP group 3). Conclusions These findings support the suggestion that the M. leprae genome is extremely stable and show that archaeological M. leprae DNA can be analysed to gain detailed information about the genotypic make-up of European leprosy, which may assist in the understanding of leprosy transmission worldwide.