Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Low-Intensity Laser Irradiation onWound Healing in Diabetic Rats

Objective. The effects of low-intensity 630 nm semiconductor laser irradiation at 3.6 J/cm2 (LISL) on wound healing in diabetic rats were studied in this paper. Methods. 36 diabetic rats with dorsal cutaneous excisional wounds were divided into three LISL groups and a control group randomly. The three LISL groups were irradiated with LISL at 5, 10, and 20 mW/cm2 five times a week for two weeks, respectively. The process of wound healing was assessed by assessing blood glucose, calculating percentage of wound closure, histopathological evaluation, and immunohistochemical quantification. Results. Blood glucose of all groups remained at similar levels throughout the experiment. LISL could obviously promote wound contraction, fibroblasts proliferation, and collagen synthesis, alter bFGF and TGF-β1 expression, and reduce inflammatory reaction in the early and middle phases of chronic wound-healing process. However, LISL could not shorten cicatrization time, and the treatment effects were not sensitive to illuminate parameters in the later phase of the experiment. Conclusions. LISL might have auxiliary effects in the early and middle phases of wound healing in STZ-induced diabetic rats, but the reciprocity rule might not hold. The wound-healing process of early-phase diabetes rats shows typical characteristics of self-limited disease.
RADIATION MEASUREMENTS VS. PREDICTIONS FOR SNS LINAC COMMISSIONING

To support Spallation Neutron Source (SNS) [1] accelerator commissioning stages, detailed predictions for radiation fields induced inside and outside of the accelerator tunnel were performed using the Monte Carlo code MCNPX. On the basis of neutronics analyses, proper shielding was developed and installed in key locations to reduce dose rates in occupied areas. Absorbed dose and dose equivalent rates were monitored by radiation measurement devices both inside and outside of the tunnel areas. The measured radiation fields were analyzed and compared to radiation transport simulations.
Clustering large datasets

A review of current techniques for clustering large quantitative data sets is presented. It is found that storing summaries of the original data in a tree improves the scalability of traditional methods to large problems. Density and grid-based techniques are introduced as offering similar scalability, whilst offering the user the ability to discover clusters of arbitrary shapes and an estimate of the number of clusters present in the data.
A coating of chitosan and propolis extract for the postharvest treatment of papaya ( Carica papaya L. cv. Hawaiiana)

Propolis is a natural antimicrobial that can be used as a bioadditive in coatings to control fruit quality losses. The effect of two coatings was evaluated, a control (chitosan, 1%) and a treatment (chitosan, 1%; containing propolisethanolic extract, 5%), on the microbiological and physicochemical properties of papaya fruits. The chemical profile of the propolis revealed the presence of fatty acids and their esters, carbohydrates, diterpenic acids, and pentacyclic triterpenes. The fruits covered with the treatment demonstrated a reduced deterioration index and infection diameter of the fungus Colletotrichum gloeosporioides, as compared to the control papayas, postponing the appearance of damage by two days. Additionally, the treatment did not significantly affect the physicochemical properties of the papaya, as compared to the control. In conclusion, the coating formulated with propolis exhibited an in situ fungicidal and bactericidal effect without altering the physiological changes of the papaya fruit during storage.
Fair Division in the Internet Age

Fair division, a key concern in the design of many social institutions, has for 70 years been the subject of interdisciplinary research at the interface of mathematics, economics, and game theory. Motivated by the proliferation of moneyless transactions on the internet, the computer science community has recently taken a deep interest in fairness principles and practical division rules. The resulting literature brings a fresh concern for computational simplicity (scalable rules) and realistic implementation. In this review of the most salient fair division results of the past 30 years, I concentrate on division rules with the best potential for practical implementation. The critical design parameter is the message space that the agents must use to report their individual preferences. A simple preference domain is key both to realistic implementation and to the existence of division rules with strong normative and incentive properties. I discuss successively the one-dimensional single-peaked domain, Leontief utilities, ordinal ranking, dichotomous preferences, and additive utilities. Some of the theoretical results in the latter domain are already implemented in the user-friendly SPLIDDIT platform ( http://spliddit.org ).
Buchanan, Steven and Loudon, Katherine Jane and Tuckerman, Lauren (2015) Reaching the disadvantaged and disengaged in times of crisis : towards an understanding of information behaviours to inform interventions. In: International Federation Library Associations World

A report on three UK studies seeking to better understand information behaviours in disadvantaged and disengaged circumstances, explore issues of social integration, and inform public library interventions. Heightened access and internalised behavioural barriers are reported beyond those common to the general population, the former influenced by technology and literacy issues, the latter by social structures and norms; barriers consigning many of our subjects to a stratified existence within an impoverished (small) information world. There is evidence suggestive of deception, risktaking, secrecy, and situational relevance in information behaviours, and a reliance on bonding social capital characteristically exclusive and inward facing. In such circumstances public libraries can provide a key information access and support role, and community role, but there is little evidence of their use. Findings suggest that a rethink is needed in how public libraries meet the information needs of people in disadvantaged and disengaged circumstances. We suggest that a more proactive outreach approach is needed that sensitively addresses issues of trust, confidence and selfefficacy. Action-oriented interdisciplinary research appears warranted to support such activity, which importantly, focuses on influencing information behaviours.
Gestion des peuplements astacicoles. Repeuplements

Le repeuplement astacicole est une technique qui presente encore un caractere experlmental. Les principaux problemes rencontres sont rapidement evoques. Techniques d'echantillonnage et d'inventaire de populations Caracteristiques des ecrevisses de repeuplement et techniques de deversement Gestion des peuplements astacicoles et astaciculture.
Effects of Chemotherapy on Sensory Inhibition and Sensory Memory in Breast Cancer Survivor

8 Introduction . 9 Neuropsychological Evidence of Cancer-Related Cognitive Dysfunction . 11 Cancer Biology . 11 Chemotherapy . 12 Hormone Replacement Therapies . 14 Psychological Distress . 16 Neurobiological Evidence of Cancer-Related Cognitive Dysfunction . 18 Neurophysiological Evidence of Cancer-Related Cognitive Change . 19 Animal Models . 20 Imaging . 21 Electrophysiology . 22 P3b component. 23 P50 suppression. 24 Mismatch Negativity Response. 26 Gating in and gating out. 27 The Current Study . 29 SENSORY INHIBITION AND MEMORY AFTER BREAST CANCER 4 Methods . 29 Participants . 29 Stimuli, apparatus, and procedure . 30 EEG Recording . 31 Dipole Source Analysis . 32 Results . 33 P50 suppression . 33 Dipole analysis of P50 suppression . 34 Mismatch negativity . 35 Correlational analyses . 35 Discussion . 37 Relationships between sensory inhibition and sensory memory . 38 Neurobiological basis of chemotherapy-induced cognitive impairment . 40 Limitations . 42 Future directions . 44 Source Localization of MMN . 44 Stress and the Hippocampus . 45 Conclusions . 48 References . 49 SENSORY INHIBITION AND MEMORY AFTER BREAST CANCER 5
An Empirical Study of the Multifactor Tests for Trademark Infringement

The thirteen circuits’ thirteen different multifactor tests for the likelihood of consumer confusion have long played a role of central importance in American trademark litigation, yet they have received little academic attention and no empirical analysis. Courts, commentators, and practitioners have all the while speculated about which factors, if any, drive the outcome of the tests, how the factors interact, and, most importantly, whether the circuits’ different tests, given the same facts, would yield different outcomes. With a view to the settling of these questions and ultimately to the reform of the multifactor tests, this Article sets forth the results of an empirical study of all reported federal district court opinions for the five-year period from 2000 to 2004 in which a multifactor test for the likelihood of consumer confusion was used. In the process, it presents the multifactor test for the likelihood of consumer confusion as an ideal case study in legal multifactor decision making and develops a methodology and theoretical toolkit for the study of this form of legal analysis across the many areas of law that employ multifactor tests. Working from an original data set of 331 opinions, this Article finds significant variation among the circuits in the application and outcome of their respective tests. Drawing upon recent social science learning on cognition and decision making, it further shows that judges employ “fast and frugal” heuristics to short-circuit the multifactor analysis. A few factors prove to be decisive; the rest are at best redundant and at worst irrelevant.
Behavioural Models of Long-Run Returns Reversals: Evidence from Returns Following Profit Warnings

A puzzling feature of stock returns is evidence of returns reversals at horizons of three to five years. One explanation for this evidence comes from behavioural models that assume investors overreact to short runs of recent earnings news. The objective here is to investigate whether the event study methodology can offer further support for these models in the same way that event studies have delivered evidence consistent with behavioural models of underreaction to a single news item. In order to apply the event study approach we need to identify episodes where there are short runs of earnings outcomes that might cause investors, who are subject to this bias, to overreact. We use profit warnings to mark the start of such runs of data. Although profit warnings normally refer explicitly to just one quarterly earnings announcement we argue that they typically precede a number of quarterly earnings outcomes that are disappointments compared both to investors’ model of earnings before the warning was issued, and also to their expectations immediately after the warning. We test whether there is any evidence that investors overreact to this sequence of negative earnings surprises by tracing abnormal returns on stocks purchased either six, nine, or twelve months after a profit warning and held for the next twelve months. Our principle result is that buying stocks at any of these dates yields significant positive abnormal buy-and-hold returns in the subsequent twelve months. For example buying stocks either six or nine months after a profit warning delivers abnormal returns of 7.7% over the following twelve months compared to a reference portfolio of firms matched by size and the book to market value of equity. Investor overreaction is more pronounced for growth stocks than for value stocks. For example purchasing growth stocks nine months after a warning delivers an abnormal return of 11.5% over the next twelve months but value stocks deliver only 0.3% over the same period. Economic forces that drive a recovery in earnings after a short sharp series of disappointments may include the replacement of senior management and the renegotiation of contracts. This mistake of giving too much weight to a short run of recent data might be interpreted as a consequence of investors under estimating the economic forces that underpin mean reversion in earnings.
Common BRCA1 and BRCA2 Mutations among Latin American Breast Cancer Subjects: A Meta-Analysis

Background: Many BRCA1 and BRCA2 mutations have been characterized in breast cancer subjects; however, the overall prevalence in Latin American remains elusive. The aim of the study was to determine the prevalence of common BRCA1 and BRCA2 mutations in Latin American breast cancer subjects. Methods: Pubmed, EBSCO, and OVID databases, and study bibliographies were systematically searched for observational studies that examined for mutations in BRCA1 and BRCA2 until March 2015. The pooled prevalence was obtained using the inverse double arcsine square root method. Publication bias was assessed by Begg and Mazumdar’s test and the Egger’s test. The sensitivity was determined by reevaluation of the pooled estimate after removal of one study. Results: Out of 294 retrieved studies, 32 studies met the inclusion criteria (n=9938 subjects). Twenty-nine BRCA1 and thirteen BRCA2 pathogenic mutations were described in two or more studies. For BRCA1, the most reported mutations were 185delAG and A1708E. The most prevalent BRCA1 mutations (>0.50%) were del exon 9–12 (1.45%, 95% CI: 0.61–2.63%), 185delAG (0.90%, 95% CI: 0.50–1.42%), R71G (0.64%, 95% CI: 0.43–0.87%), A1708E (0.58%, 95% CI: 0.40–0.79%), 5382insC (0.54%, 95% CI: 0.32–0.82%), and del exon 16–17 (0.54%, 95% CI: 0.32–0.82%). For BRCA2, the most reported mutations were 6174delT and 3036del4; however, the H372N (0.78%, 95% CI: 0.14–1.82%) was the most frequent (>0.50%). Comparing Mexican-based studies to the remaining Latin American reports, we provide evidence that certain mutations are specific only for Mexicans and their descendants (i.e. BRCA1 del exon 9–12 and BRCA2 3492insT, G273R, and W2586X). Conclusion: Here we identify the most common BRCA1 and BRCA2 mutations among Latin Americans. This information will aid in selecting mutations for genetic testing and in epidemiological studies.
RELIGIOSITY AND YOUNG PEOPLE'S CONSTRUCTION OF PERSONAL IDENTITY 1

According to Erikson (1964, 1965), developing our individual approach to religion is a very important part of our mature and integrated identity development. The aim of the present study was to determine the connection between religiosity and identity development in adolescence. 300 students of Cracow’s high and junior high schools (including Catholic schools) filled in Polish versions of Huber’s Centrality of Religiosity Scale and Berzonsky’s Identity Style Inventory. The results confirmed the expected connection between identity styles and religiosity constructs defined as a system located in the personality of the individual. Indicators of religion correlated most positively with the normative and informational styles and negatively with the diffuse/ avoidant style. Attaching weight to religion and giving it an important role in life was associated with having a more mature and adaptive identity style. Lack of interest in religion occurred in people whose identity was fragmented and nonintegrated. Some differences were noted between students of Catholic and non-Catholic schools.
An Anthropometric Approach to the Measurement of Poverty

On the multidimensional poverty analysis, an anthropometric dimension was added as an integral representation of future welfare. By interpreting the actual malnutrition state on children between 0.5 and 6 years old in Argentina as those who are going to suffer deprivation in Sen's essential functioning and capabilities terms in adulthood. A two-dimensions Foster-Greer-Thorbecke poverty index has been proposed along with a Sen's and Gini's anthropometric indexes. Having had malnutrition meant more inequality income distribution. NEA's and NOA's regions would have greater problems in functioning, capabilities and cultural barriers by considering the next poor's generation.
Taguchi orthogonal design array to optimize methylcellulose based elementary osmotic pump tablets for the delivery of highly water soluble drugs

It is difficult to retard the release of highly water soluble drugs due to their fast dissolution and absorption in gastro intestinal tract. A novel methylcellulose based elementary osmotic pump tablets of metoprolol succinate, which was used as a model drug, has been designed to overcome these drawbacks. Taguchi orthogonal L18 array design with analysis of variance was conducted to optimize the release profile. The results showed that the drug release was inversely proportional to the viscosity and amount of methylcellulose, thickness of semipermeable membrane and amount of dibutylphtalate, while it was directly proportional to the amount of polyethylene glycol 400 and independent to the compacting method and orifice size. The results approved also the reliability of this system to control the release of drug at zero order kinetic for up to 12 hours. The in vivo studies conducted in rabbits using the optimized and marketed formulations revealed that in addition to the enhanced bioavailability, this design maintained a constant therapeutic drug concentration within plasma even up to 24h independently to the pH variations, in conclusion this approach can circumvent all intra and inter subject variations in gastric physiology and serve as promising delivery system for highly water soluble drugs.
Crossover from large to small polarons across the metal-insulator transition in manganites

We report Mn K-edge extended x-ray absorption fine structure spectra on La0.75Ca0. 25MnO3 up to high momentum transfer across the metal-insulator sM-Id transition. The data show compelling evidence for (i) large or intermediate Jahn-Teller polarons (IJTP), characterized by an anomalous longer Mn-O bond sDR ­ 0.09 Ad in the metallic phase sT , 170 Kd, and (ii) appearance of small JT polarons (SJTP) at T . 170 K, characterized by a longer Mn-O bond sDR ­ 0.21 Ad, which coexist with the IJTP above the M-I transition and has equal probability in the temperature range of colossal magnetoresistance. [S0031-9007(98)06663-0]
Does a Country-Specific Productivity Matter in Delocation Tendencies? A footloose Capital Model Approach

This paper presents a simple "core-periphery" model with footloose capital and heterogeneous firms in which it is assumed that the mean and the variance of the distribution functions of marginal production costs are country-specific. From the analysis it emerges that country-specific productivity is not innocuous and it matters in driving location decisions. In this case, in fact, the agglomeration forces and the direction of migration crucially depend on the level of trade costs. JEL codes: F2, F12
Sample-Based Extreme Learning Machine with Missing Data

Extreme learning machine (ELM) has been extensively studied in machine learning community during the last few decades due to its high efficiency and the unification of classification, regression, and so forth. Though bearing such merits, existing ELM algorithms cannot efficiently handle the issue of missing data, which is relatively common in practical applications. The problem of missing data is commonly handled by imputation (i.e., replacing missing values with substituted values according to available information). However, imputation methods are not always effective. In this paper, we propose a sample-based learning framework to address this issue. Based on this framework, we develop two sample-based ELM algorithms for classification and regression, respectively. Comprehensive experiments have been conducted in synthetic data sets, UCI benchmark data sets, and a real world fingerprint image data set. As indicated, without introducing extra computational complexity, the proposed algorithms do more accurate and stable learning than other state-of-the-art ones, especially in the case of higher missing ratio.
TDCCREC: AN EFFICIENT AND SCALABLE WEB-BASED RECOMMENDATION SYSTEM

Web browsers are provided with complex information space where the volume of information available to them is huge. There comes the Recommender system which effectively recommends web pages that are related to the current webpage, to provide the user with further customized reading material. To enhance the performance of the recommender systems, we include an elegant proposed web based recommendation system; Truth Discovery based Content and Collaborative RECommender (TDCCREC) which is capable of addressing scalability. Existing approaches such as Learning automata deals with usage and navigational patterns of users. On the other hand, Weighted Association Rule is applied for recommending web pages by assigning weights to each page in all the transactions. Both of them have their own disadvantages. The websites recommended by the search engines have no guarantee for information correctness and often delivers conflicting information. To solve them, content based filtering and collaborative filtering techniques are introduced for recommending web pages to the active user along with the trustworthiness of the website and confidence of facts which outperforms the existing methods. Our results show how the proposed recommender system performs better in predicting the next request of web users.
Functional similarity of attached and free-living bacteria during freshwater phytoplankton blooms

Phytoplankton blooms were created in freshwater enclosures to study the functional succession and diversification for attached (>10 µm size fraction) and free-living ( 0.07), whereas 3 glucoside-bond cleaving enzymes were more frequent among the free-living isolates (p < 0.02). These results indicate that attached and free-living bacteria were functionally closely related and that their succession tended to converge during the phytoplankton bloom. Hence, bacteria attached to particulate matter are not necessarily functionally distinct and specialized for polymer hydrolysis relative to the free-living assemblage, though they are often anticipated to be different due to their close association with particulate polymers.
Critical issues in designing and implementing temporal analytics

The importance of temporality in learning has been long established, but it is only recently that serious attention has begun to be paid to the precise identification, measurement, and analysis of the temporal features of learning. From 2009 to 2016, a series of temporality workshops explored temporal concepts and data types, analysis methods for exploiting temporal data, techniques for visualizing temporal information, and practical considerations for the use of temporal analyses in particular contexts of learning. Following from these efforts, this two-part Special Section serves to consolidate research working to progress conceptual, technical and practical tools for temporal analyses of learning data. In addition, in this second and final editorial we aim to make four contributions to the ongoing dialouge around temporal learning analytics to help us move towards a clearer mapping of the research space. First, the editorial presents an overview of the five papers in Part 2 of the Special Section on Temporal Analyses, highlighting the dimensions of data types, learning constructs, analysis approaches, and potential impact. Second, it draws on the fluid relationship between ‘analyzed time’ and ‘experienced time’ to highlight the need for caution and criticality in the purposes temporal analyses are mobilized to serve. Third it offers a guide for future work in this area by outlining important questions that all temporal analyses should intentionally address. Finally, it proposes next steps learning analytics researchers and practitioners can take collectively to advance work on the use of temporal analyses to support learning