Miracle-dz/UniFAR-FTUs huggingface dataset:
SU-E-T-589: A Robust 4D Treatment Planning Approach for Lung Radiotherapy.

PURPOSE 4D treatment planning optimizes the cumulative dose delivered over the whole respiratory cycle to generate a plan that compensates for a patients individual respiratory motion. However, changes in the time spent in the each respiratory state may render a 4D plan invalid. We introduced and evaluate two robust treatment planning approaches to compensate for respiratory motion. METHODS A 4D optimization method was developed which optimizes the phase-weighted dose distribution. Two robust 4D treatment planning approaches were tested: (1) planning on the average motion pdf (AVE_PDF); and (2) combining 4D plans designed on the "worst case" pdfs (WC_PDF). The sensitivity of nominal and robust 4D treatment plans to respiratory motion variations was tested for two scenarios where respiratory phase weights were modified to model changes in amplitude as well as the relative proportion of the respiratory cycle spent inhaling vs. exhaling. RESULTS The DVHs of robust plans show less sensitivity to variation in breathing pattern. Compared to the nominal 4D plan, robust plans improve the V95 by 2 to 6 Gy and CTV min dose by 1 to 5 Gy. CONCLUSION Robust 4D plan can be designed either using average pdf approach or worst case pdf approach. We find that nominal 4D plans are very sensitive to the variation in respiration pattern while robust 4D plans are less sensitive under the similar changes. As compared to static 4D plan, healthy tissue sparing is also better in robust plan. This research is supported by the Natural Sciences and Engineering Research Council of Canada (NSERC).
Primary anaplastic large-cell lymphoma in adults: clinical presentation, immunophenotype, and outcome.

Anaplastic, CD30+, large-cell lymphoma is now a well-recognized pathologic entity that accounts for 2% to 8% of all lymphomas. Recent progress has been made in the understanding of certain biologic features found in anaplastic large-cell lymphoma, but information about its clinical behavior, in comparison to other large-cell lymphomas, is limited. The pathologic review of a large multicenter study of the treatment of aggressive lymphoma identified 146 cases of anaplastic large-cell lymphoma (ALCL) on the basis of morphology and CD30 expression. We compared initial presentation, immunophenotype, and clinical outcome of these cases with those of the 1,695 nonanaplastic diffuse large-cell lymphomas (non-ALCL) included in the same trial. Patients with ALCL were more likely to be male (P = .018) and were younger (P < .0001) than those with non-ALCL. B symptoms were more frequent in ALCL (P = .006). Skin (P < .0001) and lung (P < .05) involvement was also more frequent in ALCL, but frequency of bone marrow involvement was identical (P = . 5). Tumor cell phenotype was B in 56 cases (38%), T in 49 cases (34%), and null in 33 cases (22%). Response to chemotherapy (P = . 001), event-free survival (P = .006), and overall survival (P = . 0004) were better for ALCL than for non-ALCL. Multivariate analyses identified anaplastic character as an independent factor that predicted a longer survival. Tumor cell phenotype did not influence event-free survival (P = .72) or overall survival (P = .83). ALCL in adults is a clinicopathologic entity which, independent of its phenotypic characteristics, has a better outcome than other diffuse large-cell lymphomas.
Identification and Molecular Cloning of P75/Airm1, a Novel Member of the Sialoadhesin Family That Functions as an Inhibitory Receptor in Human Natural Killer Cells

In this study, by the generation of a specific monoclonal antibody, we identified p75/AIRM1 (for adhesion inhibitory receptor molecule 1), a novel inhibitory receptor that is mostly confined to human natural killer cells. p75/AIRM1 is a 75-kD glycoprotein that, upon sodium pervanadate treatment, becomes tyrosine phosphorylated and associates to src homology 2 domain–bearing protein tyrosine phosphatase (SHP)-1. The p75/AIRM1 gene is located on human chromosome 19 and encodes a novel member of the sialoadhesin family characterized by three immunoglobulin-like extracellular domains (one NH2-terminal V-type and two C2-type) and a classical immunoreceptor tyrosine–based inhibitory motif (ITIM) in the cytoplasmic portion. The highest amino acid sequence similarity has been found with the myeloid-specific CD33 molecule and the placental CD33L1 protein. Similar to other sialoadhesin molecules, p75/AIRM1 appears to mediate sialic acid–dependent ligand recognition.
Physically Attractive Social Information Sources Lead to Increased Selective Exposure to Information

The present research investigated the impact of a social information source's physical attractiveness on selective exposure to decision-relevant information. In two studies, support was found for the hypothesis that physically attractive information sources lead decision makers into being more selective in both searching for (Studies 1 and 2; selective exposure) and evaluating (Study 2; biased assimilation) decision-relevant information. In both studies, the effect was driven by differences in the selection and evaluation of decision-consistent information, that is, physically attractive information sources led to increases in the perceived quality of decision-consistent information as well as increased selective exposure to this information. Theoretical and practical implications are discussed.
Update on hypertrophic scar treatment

Scar formation is a consequence of the wound healing process that occurs when body tissues are damaged by a physical injury. Hypertrophic scars and keloids are pathological scars resulting from abnormal responses to trauma and can be itchy and painful, causing serious functional and cosmetic disability. The current review will focus on the definition of hypertrophic scars, distinguishing them from keloids and on the various methods for treating hypertrophic scarring that have been described in the literature, including treatments with clearly proven efficiency and therapies with doubtful benefits. Numerous methods have been described for the treatment of abnormal scars, but to date, the optimal treatment method has not been established. This review will explore the differences between different types of nonsurgical management of hypertrophic scars, focusing on the indications, uses, mechanisms of action, associations and efficacies of the following therapies: silicone, pressure garments, onion extract, intralesional corticoid injections and bleomycin.
Spawning Behaviour and Post-Spawning Migration Patterns of Atlantic Bluefin Tuna (Thunnus thynnus) Ascertained from Satellite Archival Tags

Spawning behaviour of Atlantic bluefin tuna (Thunnus thynnus) was investigated using electronic satellite tags deployed in the western Mediterranean spawning ground, around the Balearic Islands (years 2009-2011). All the fish were tagged underwater and released within schools. In general, the fish tagged in the same year/school displayed common migratory trends. Following extended residency around the Balearic Islands, most tagged tuna crossed the Strait of Gibraltar heading for the North Atlantic. Discrepancies between the migratory tracks reconstructed from this and previous electronic tagging studies suggest that the bluefin tuna Mediterranean population may comprise distinct units exhibiting differing migratory behaviours. The diving behaviour varied between oceanic regions throughout the migratory pathways, the shallowest distribution taking place in the spawning ground and the deepest at the Strait of Gibraltar. A unique diving pattern was found on the majority of nights while the fish stayed at the spawning ground; it consisted of frequent and brief oscillatory movements up and down through the mixed layer, resulting in thermal profiles characterized by oscillations about the thermocline. Such a pattern is believed to reflect recent courtship and spawning activity. Reproductive parameters inferred from the analysis of vertical profiles are consistent with those estimated in previous studies based on biological samples.
Using GPS outdoor autonomous driving system for robot development

In this paper, we suggest that autonomy moves a robot to the destination without we transcribe a map on interface and order an aim point and the course of the robot on the map. By this, an aim point accords at the coordinate in the map, and it is not necessary to show position information for numerical value. When we produce this system, ldquoThe navigation of the robot which it used GPSrdquo, ldquoA revision for the difference to occur in GPS and the coordinate value of the map.rdquo and ldquoMaking of the interface to appoint an aim point from map data.rdquo are nominated for necessary element technology. By this report, we performed an element experiment about the navigation of the robot which it used GPS for among element technology.
Clear Cell Renal Cell Carcinoma: Gene Expression Analyses Identify a Potential Signature for Tumor Aggressiveness

Purpose: The objective of this study was to use gene expression profiling to identify novel biomarkers that are predictive of aggressive behavior in clear cell renal cell carcinoma (CCRCC). Experimental Design: Candidate genes were discovered using Human Genome U133 Plus 2 Arrays and validated on independent samples by quantitative reverse transcription-PCR (RT-PCR). Both the discovery and the validation cohorts included nonaggressive primary CCRCC, aggressive primary CCRCC, metastatic CCRCC, and nonneoplastic kidney adjacent to tumor. Results: Aggressive primary and metastatic CCRCC displayed no significant differences in gene expression. In contrast, we identified significant differences in gene expression between nonaggressive and aggressive CCRCC (including metastatic CCRCC). Thirty-four of the 35 transcripts that displayed the most significant differential expression by microarray analysis also displayed significant differential expression in independent validation studies using quantitative RT-PCR (P < 0.001 for 31 candidates and P < 0.005 for the remaining three candidates). Hierarchical clustering of the quantitative RT-PCR data using our candidate markers accurately grouped 88% (23 of 26) of aggressive and metastatic CCRCC samples, 100% (14 of 14) of nonaggressive CCRCC samples, and 100% (15 of 15) of nonneoplastic samples into separate clusters. Finally, we evaluated the ability of protein expression levels of one of our candidate markers (survivin) to predict survival among a cohort of 183 CCRCC patients treated surgically at Mayo Clinic from 1990 to 1992. In multivariate analysis, expression of survivin (BIRC5) was inversely associated with cancer-specific survival (P = 0.017). Conclusion: We used a combination of genomic profiling and validation by quantitative PCR to identify a panel of candidate biomarkers for determining CCRCC aggressiveness. Our data also indicate that the gene expression alterations that result in aggressive behavior and metastatic potential can be identified in the primary tumor.
Interactive and Dynamic Graphics for Data Analysis: With R and GGobi

Interactive and dynamic data visualization is about analysts using the computer to actively explore the data at hand. Indeed, readers interested in this subject should feel very happy lately because three books focusing on such techniques—namely, Cook and Swayne (2007), Unwin, Theus, and Hofmann (2006), and Young, Valero-Mora, and Friendly (2006)—have recently found their way into the press. This must be regarded as a very notable circumstance as there had not been published any book offering a comprehensive view of this topic since Cleveland and McGill (1988) or the manuals of DataDesk (Velleman 1995). Besides, even though the three books have many elements in common, there are also sufficient singularities in them to satisfy readers with different interests. Cook and Swayne’s book in particular has the special appeal of being linked to GGobi/rggobi software that implements very nicely many of the tools discussed in the text.
The Oxford handbook of memory

Due to the advent of neuropsychology, it has become clear that there is a multiplicity of memory systems or, at the very least, of dissociably different modes of processing memory in the brain. As the Oxford Handbook of Memory demonstrates, the frontier of memory research has been enriched by breakthroughs of the last decades, with lines of continuity and important departures, and it will continue to be enriched by changes in technology that will propel future research. In turn, such changes are beginning to impact the legal and professional therapeutic professions and will have considerable future significance in realms outside of psychology and memory research. Endel Tulving and Fergus Craik, two world-class experts on memory, provide this handbook as a roadmap to the huge and unwieldy field of memory research. By enlisting an eminent group of researchers, they are able to offer insight into breakthroughs for the work that lies ahead. The outline is comprehensive and covers such topics as the development of memory, the contents of memory, memory in the laboratory and in everyday use, memory in decline, the organization of memory, and theories of memory.
Estratégias de Seleção de Conteúdo com Base na CST (Cross-document Structure Theory) para Sumarização Automática Multidocumento

O presente trabalho apresenta a definicao, formalizacao e avaliacao de estrategias de selecao de conteudo para sumarizacao automatica multidocumento com base na teoria discursiva CST (Cross-document Structure Theory). A tarefa de selecao de conteudo foi modelada por meio de operadores que representam possiveis preferencias do usuario para a sumarizacao. Estes operadores sao especificados em templates contendo regras e funcoes que relacionam essas preferencias as relacoes CST. Em particular, definimos operadores para extrair a informacao principal, apresentar informacao de contexto, identificar autoria, tratar redundâncias e identificar informacao contraditoria. Nossos experimentos foram feitos usando um corpus jornalistico de textos escritos em portugues brasileiro e mostram que o uso da CST melhora a qualidade do conteudo selecionado para os sumarios, ja que se exploram as relacoes entre os conteudos dos diferentes textos.
Effect of Lactobacilli on Paracellular Permeability in the Gut

Paracellular permeability is determined by the complex structures of junctions that are located between the epithelial cells. Already in 1996, it was shown that the human probiotic strain Lactobacillus plantarum 299v and the rat-originating strain Lactobacillus reuteri R2LC could reduce this permeability in a methotrexate-induced colitis model in the rat. Subsequently, many animal models and cell culture systems have shown indications that lactobacilli are able to counteract increased paracellular permeability evoked by cytokines, chemicals, infections, or stress. There have been few human studies focusing on the effect of lactobacilli on intestinal paracellular permeability but recently it has been shown that they could influence the tight junctions. More precisely, short-term administration of L. plantarum WCSF1 to healthy volunteers increased the relocation of occludin and ZO-1 into the tight junction area between duodenal epithelial cells.
In Vivo Evidence for a Role of Adipose Tissue SR-BI in the Nutritional and Hormonal Regulation of Adiposity and Cholesterol Homeostasis

Objectives—This study examines the role of insulin and angiotensin II in high-density lipoprotein (HDL) metabolism by focusing on the regulation and function of scavenger receptor type-BI (SR-BI) in adipose tissue. Methods and Results—Insulin or angiotensin II injection in wild-type mice induced a decrease in circulating HDL and it was associated with the translocation of SR-BI from intracellular sites to the plasma membrane of adipose tissue. Refeeding upregulated adipose HDL selective cholesteryl esters uptake and SR-BI proteins through transcriptional and posttranscriptional mechanisms. This occurred along with a decrease in serum HDL and an increase in adipose cholesterol content. Similar results were obtained with transgenic mice overexpressing locally angiotensinogen in adipose tissue. In adipose 3T3-L1 cell line, HDL induced lipogenesis by increasing liver X receptor binding activity. This mechanism was dependent of insulin and angiotensin II. Conclusions—Our results raise the possibility that adipose tissue SR-BI translocation might be a link between adipose tissue lipid storage and HDL clearance.
ESCRT-III Governs the Aurora B–Mediated Abscission Checkpoint Through CHMP4C

To Cut or Not to Cut During animal cell division, the final separation of daughter cells requires ESCRT-III (endosomal sorting complex required for transport III), the core membrane scission machinery. Carlton et al. (p. 220, published online 15 March; see the Perspective by Petronczki and Uhlmann) report that ESCRT-III modulates abscission timing through one of its subunits, CHMP4C. Depletion of CHMP4C results in faster resolution of the midbody, the cytoplasmic bridge that connects the daughter cells at the end of cytokinesis. This phenotype correlates with a differential spatiotemporal distribution of CHMP4C at the midbody. As CHMP4C is essential for activating the Aurora B–mediated abscission checkpoint, consequently, depletion of CHMP4C results in the accumulation of genetic damage. Thus, the ESCRT machinery protects the cell against genetic damage by coordinating its cytokinetic activity with the abscission checkpoint. The membrane scission and cytokinesis ESCRT machinery may help to protect against genetic damage. The endosomal sorting complex required for transport (ESCRT) machinery plays an evolutionarily conserved role in cytokinetic abscission, the final step of cell division where daughter cells are physically separated. Here, we show that charged multivesicular body (MVB) protein 4C (CHMP4C), a human ESCRT-III subunit, is involved in abscission timing. This function correlated with its differential spatiotemporal distribution during late stages of cytokinesis. Accordingly, CHMP4C functioned in the Aurora B–dependent abscission checkpoint to prevent both premature resolution of intercellular chromosome bridges and accumulation of DNA damage. CHMP4C engaged the chromosomal passenger complex (CPC) via interaction with Borealin, which suggested a model whereby CHMP4C inhibits abscission upon phosphorylation by Aurora B. Thus, the ESCRT machinery may protect against genetic damage by coordinating midbody resolution with the abscission checkpoint.
Characterisation of divergent flavivirus NS3 and NS5 protein sequences detected in Rhipicephalus microplus ticks from Brazil

Transcripts similar to those that encode the nonstructural (NS) proteins NS3 and NS5 from flaviviruses were found in a salivary gland (SG) complementary DNA (cDNA) library from the cattle tick Rhipicephalus microplus. Tick extracts were cultured with cells to enable the isolation of viruses capable of replicating in cultured invertebrate and vertebrate cells. Deep sequencing of the viral RNA isolated from culture supernatants provided the complete coding sequences for the NS3 and NS5 proteins and their molecular characterisation confirmed similarity with the NS3 and NS5 sequences from other flaviviruses. Despite this similarity, phylogenetic analyses revealed that this potentially novel virus may be a highly divergent member of the genus Flavivirus. Interestingly, we detected the divergent NS3 and NS5 sequences in ticks collected from several dairy farms widely distributed throughout three regions of Brazil. This is the first report of flavivirus-like transcripts in R. microplus ticks. This novel virus is a potential arbovirus because it replicated in arthropod and mammalian cells; furthermore, it was detected in a cDNA library from tick SGs and therefore may be present in tick saliva. It is important to determine whether and by what means this potential virus is transmissible and to monitor the virus as a potential emerging tick-borne zoonotic pathogen.
Big Data's Disparate Impact

Advocates of algorithmic techniques like data mining argue that these techniques eliminate human biases from the decision-making process. But an algorithm is only as good as the data it works with. Data is frequently imperfect in ways that allow these algorithms to inherit the prejudices of prior decision makers. In other cases, data may simply reflect the widespread biases that persist in society at large. In still others, data mining can discover surprisingly useful regularities that are really just preexisting patterns of exclusion and inequality. Unthinking reliance on data mining can deny historically disadvantaged and vulnerable groups full participation in society. Worse still, because the resulting discrimination is almost always an unintentional emergent property of the algorithm’s use rather than a conscious choice by its programmers, it can be unusually hard to identify the source of the problem or to explain it to a court.This Essay examines these concerns through the lens of American antidiscrimination law — more particularly, through Title VII’s prohibition of discrimination in employment. In the absence of a demonstrable intent to discriminate, the best doctrinal hope for data mining’s victims would seem to lie in disparate impact doctrine. Case law and the Equal Employment Opportunity Commission’s Uniform Guidelines, though, hold that a practice can be justified as a business necessity when its outcomes are predictive of future employment outcomes, and data mining is specifically designed to find such statistical correlations. Unless there is a reasonably practical way to demonstrate that these discoveries are spurious, Title VII would appear to bless its use, even though the correlations it discovers will often reflect historic patterns of prejudice, others’ discrimination against members of protected groups, or flaws in the underlying dataAddressing the sources of this unintentional discrimination and remedying the corresponding deficiencies in the law will be difficult technically, difficult legally, and difficult politically. There are a number of practical limits to what can be accomplished computationally. For example, when discrimination occurs because the data being mined is itself a result of past intentional discrimination, there is frequently no obvious method to adjust historical data to rid it of this taint. Corrective measures that alter the results of the data mining after it is complete would tread on legally and politically disputed terrain. These challenges for reform throw into stark relief the tension between the two major theories underlying antidiscrimination law: anticlassification and antisubordination. Finding a solution to big data’s disparate impact will require more than best efforts to stamp out prejudice and bias; it will require a wholesale reexamination of the meanings of “discrimination” and “fairness. ”