LLukas22/scidocs huggingface dataset:
Concurrent chemotherapy and radiotherapy for organ preservation in advanced laryngeal cancer.

BACKGROUND
Induction chemotherapy with cisplatin plus fluorouracil followed by radiotherapy is the standard alternative to total laryngectomy for patients with locally advanced laryngeal cancer. The value of adding chemotherapy to radiotherapy and the optimal timing of chemotherapy are unknown.


METHODS
We randomly assigned patients with locally advanced cancer of the larynx to one of three treatments: induction cisplatin plus fluorouracil followed by radiotherapy, radiotherapy with concurrent administration of cisplatin, or radiotherapy alone. The primary end point was preservation of the larynx.


RESULTS
A total of 547 patients were randomly assigned to one of the three study groups. The median follow-up period was 3.8 years. At two years, the proportion of patients who had an intact larynx after radiotherapy with concurrent cisplatin (88 percent) differed significantly from the proportions in the groups given induction chemotherapy followed by radiotherapy (75 percent, P=0.005) or radiotherapy alone (70 percent, P<0.001). The rate of locoregional control was also significantly better with radiotherapy and concurrent cisplatin (78 percent, vs. 61 percent with induction cisplatin plus fluorouracil followed by radiotherapy and 56 percent with radiotherapy alone). Both of the chemotherapy-based regimens suppressed distant metastases and resulted in better disease-free survival than radiotherapy alone. However, overall survival rates were similar in all three groups. The rate of high-grade toxic effects was greater with the chemotherapy-based regimens (81 percent with induction cisplatin plus fluorouracil followed by radiotherapy and 82 percent with radiotherapy with concurrent cisplatin, vs. 61 percent with radiotherapy alone). The mucosal toxicity of concurrent radiotherapy and cisplatin was nearly twice as frequent as the mucosal toxicity of the other two treatments during radiotherapy.


CONCLUSIONS
In patients with laryngeal cancer, radiotherapy with concurrent administration of cisplatin is superior to induction chemotherapy followed by radiotherapy or radiotherapy alone for laryngeal preservation and locoregional control.
OmniArt: Multi-task Deep Learning for Artistic Data Analysis

Vast amounts of artistic data is scattered on-line from both museums and art applications. Collecting, processing and studying it with respect to all accompanying attributes is an expensive process. With a motivation to speed up and improve the quality of categorical analysis in the artistic domain, in this paper we propose an efficient and accurate method for multi-task learning with a shared representation applied in the artistic domain. We continue to show how different multi-task configurations of our method behave on artistic data and outperform handcrafted feature approaches as well as convolutional neural networks. In addition to the method and analysis, we propose a challenge like nature to the new aggregated data set with almost half a million samples and structuredmeta-data to encourage further research and societal engagement. ACM Reference format: Gjorgji Strezoski and Marcel Worring. 2017. OmniArt: Multi-task Deep Learning for Artistic Data Analysis.
[The multidimensional relationship questionnaire: a study of reliability and validity].

PURPOSE
The Multidimensional Relationship Questionnaire (MRQ) was developed to measure psychological tendencies associated with intimate relationships by Snell Schicke and Arbeiter (2002). The purpose of the present study was to investigate the reliability and validity of the Turkish version of the Multidimensional Relationship Questionnaire.


METHOD
480 university students from various faculties, with a history of involvement in an intimate relationship at present or in past (308 female, 172 male) participated in the study. The Relationship Assessment Scale (RAS) was used for the criterion validity.


RESULTS
In order to determine the construct validity of MRQ, factor analysis was conducted using principal components analysis with varimax rotation. The factor analysis resulted in eight factors;focus on relationship extremely, relational satisfaction, fear of relationship/relational anxiety, relational monitoring, relational esteem, external relational control, relational assertiveness, and internal relational control. The correlation coefficients of the MRQ with RAS were between -.41 and .69. The Cronbach's alpha for the MRQ was .81. The computed test-retest reliability coefficient was .80. MRQ subscales were found to show significant difference, with respect to sex of the participant, only in the subscale of "external relational control".


CONCLUSION
Analysis demonstrated that MRQ had a satisfactory level of reliability and validity in Turkish university students.
Worst-case throughput analysis of real-time dynamic streaming applications

Wireless embedded applications have stringent temporal constraints. The frame arrival rate imposes a throughput requirement that must be satisfied. These applications are often dynamic and streaming in nature. The FSM-based Scenario-Aware Dataflow (FSM-SADF) model of computation (MoC) has been proposed to model such dynamic streaming applications. FSM-SADF splits a dynamic system into a set of static modes of operation, called scenarios. Each scenario is modeled by a Synchronous Dataflow (SDF) graph. The possible scenario transitions are specified by a finite-state machine (FSM). FSM-SADF allows a more accurate design-time analysis of dynamic streaming applications, capitalizing on the analysability of SDF. However, existing FSM-SADF analysis techniques assume 1) scenarios are self-timed bounded, for which strong-connectedness is a sufficient condition, and 2) inter-scenario synchronizations are only captured by initial tokens that are common between scenarios. These conditions are too restrictive for many real-life applications. In this paper, we lift these restrictive assumptions and introduce a generalized FSM-SADF analysis approach based on the max-plus linear systems theory. We present both exact and conservative worst-case throughput analysis techniques that have varying levels of accuracy and scalability. The analysis techniques are implemented in a publicly available dataflow analysis tool and experimentally evaluated with different wireless applications.
From a Competition for Self-Driving Miniature Cars to a Standardized Experimental Platform: Concept, Models, Architecture, and Evaluation

Context: Competitions for self-driving cars facilitated the development and research in the domain of autonomous vehicles towards potential solutions for the future mobility. Objective: Miniature vehicles can bridge the gap between simulation-based evaluations of algorithms relying on simplified models, and those time-consuming vehicle tests on real-scale proving grounds. Method: This article combines findings from a systematic literature review, an in-depth analysis of results and technical concepts from contestants in a competition for self-driving miniature cars, and experiences of participating in the 2013 competition for self-driving cars. Results: A simulation-based development platform for real-scale vehicles has been adapted to support the development of a self-driving miniature car. Furthermore, a standardized platform was designed and realized to enable research and experiments in the context of future mobility solutions. Conclusion: A clear separation between algorithm conceptualization and validation in a model-based simulation environment enabled efficient and riskless experiments and validation. The design of a reusable, low-cost, and energy-efficient hardware architecture utilizing a standardized software/hardware interface enables experiments, which would otherwise require resources like a large real-scale
In silico approaches for designing highly effective cell penetrating peptides

Cell penetrating peptides have gained much recognition as a versatile transport vehicle for the intracellular delivery of wide range of cargoes (i.e. oligonucelotides, small molecules, proteins, etc.), that otherwise lack bioavailability, thus offering great potential as future therapeutics. Keeping in mind the therapeutic importance of these peptides, we have developed in silico methods for the prediction of cell penetrating peptides, which can be used for rapid screening of such peptides prior to their synthesis. In the present study, support vector machine (SVM)-based models have been developed for predicting and designing highly effective cell penetrating peptides. Various features like amino acid composition, dipeptide composition, binary profile of patterns, and physicochemical properties have been used as input features. The main dataset used in this study consists of 708 peptides. In addition, we have identified various motifs in cell penetrating peptides, and used these motifs for developing a hybrid prediction model. Performance of our method was evaluated on an independent dataset and also compared with that of the existing methods. In cell penetrating peptides, certain residues (e.g. Arg, Lys, Pro, Trp, Leu, and Ala) are preferred at specific locations. Thus, it was possible to discriminate cell-penetrating peptides from non-cell penetrating peptides based on amino acid composition. All models were evaluated using five-fold cross-validation technique. We have achieved a maximum accuracy of 97.40% using the hybrid model that combines motif information and binary profile of the peptides. On independent dataset, we achieved maximum accuracy of 81.31% with MCC of 0.63. The present study demonstrates that features like amino acid composition, binary profile of patterns and motifs, can be used to train an SVM classifier that can predict cell penetrating peptides with higher accuracy. The hybrid model described in this study achieved more accuracy than the previous methods and thus may complement the existing methods. Based on the above study, a user- friendly web server CellPPD has been developed to help the biologists, where a user can predict and design CPPs with much ease. CellPPD web server is freely accessible at http://crdd.osdd.net/raghava/cellppd/ .
Transformational Leadership and Its Predictive Effects on Leadership Effectiveness

Academic departments play an important role in the success of institutions of higher education and success of departments directly depends on effectiveness of their head. This study is an attempt to determine heads of academic departments’ leadership styles and its relationship with leadership effectiveness at Malaysian Research Universities (RUs). Using Multifactor Leadership Questionnaire 5x (MLQ), the study employed 298 lecturers of three Malaysian RUs. Results indicated that lecturers perceived the heads of departments exhibited combination of transformational, transactional, and laissez-faire leadership styles. The result of regression analysis demonstrated that contingent reward, idealized influence (attribute), inspirational motivation, individualized consideration, laissez-faire, intellectual stimulation, and management-by-exception active are significant predictors of leadership effectiveness. These factors accounted for 82% of the variance in leadership effectiveness. In addition, the results suggest that contingent reward has important effects on leadership effectiveness. The implications of the research findings are discussed.
Rich allelic variations of Viviparous-1A and their associations with seed dormancy/pre-harvest sprouting of common wheat

The allelic variations of Vp-1B have been confirmed to have close association with seed dormancy (SD) and pre-harvest sprouting (PHS) of Chinese wheat in previous research, but little was known regarding whether the alleles of two other orthologs of Vp1 on 3AL (Vp-1A) and 3DL (Vp-1D) are also present and related to these traits. In view of this, 11 primer pairs flanking the whole sequences of these two orthologs were designed to investigate their allelic variations. The results identified six alleles of Vp-1A using the primer pair A17-19 among 81 wheat cultivars and advanced lines, which were designated as Vp-1Aa, Vp-1Ab, Vp-1Ac, Vp-1Ad, Vp-1Ae, and Vp-1Af. Except for Vp-1Ac, the other five alleles were proven novel, but no allelic variation was found in Vp-1D. On sequence analysis of alleles of Vp-1A, five deletions were observed, all occurring in the same region holding many TTC repeats. Of the six alleles detected in this study, four (Vp-1Aa, Vp-1Ac, Vp-1Ae, and Vp-1Af) were generally distributed in varieties exhibiting higher average germination index (GI, range 0.46–0.56) and spike sprouting (SS, range 39.6–49.4%); however, the alleles Vp-1Ab and Vp-1Ad were distributed in genotypes carrying higher SD (GI 0.19–0.26) and stronger PHS resistance (SS 12.3–17.2%). On Spearman correlation analysis, the allele Vp-1Ab had significantly negative correlation with GI (−0.479) and SS (−0.542) at the 0.01 level, and the three alleles Vp-1Aa, Vp-1Ac, and Vp-1Ae had significantly positive correlation with GI [0.311 (0.05 level), 0.401 (0.01 level), and 0.294 (0.05 level)] and SS [0.283 (0.05 level), 0.309 (0.05 level), and 0.266 (0.05 level)]. The other alleles, including Vp-1Ad and Vp-1Af, also exhibited correlation, albeit not significant, with these two traits. This negative correlation showed that Vp-1Ab helped to improve SD and PHS tolerance, but Vp-1Aa, Vp-1Ac, and Vp-1Ae appeared to exert the opposite effect. To further confirm the association between alleles of Vp-1A and the two traits, a recombinant inbred line (RIL) population with 157 lines was genotyped using the primer pair A17-19, developed from the cross between Wanxianbaimaizi (Vp-1Ab) and Jing411 (Vp-1Ac). General linear model analysis indicated that variation in Vp-1A had a significant (P < 0.001) association with the two traits, explaining 23.4% of the variation in GI and 16.7% of the variation in SS in the population across three crop seasons.
Anemia as a risk factor for cardiovascular disease and all-cause mortality in diabetes: the impact of chronic kidney disease.

Anemia is a potential nontraditional risk factor for cardiovascular disease (CVD). This study evaluated whether anemia is a risk factor for adverse outcomes in people with diabetes and whether the risk is modified by the presence of chronic kidney disease (CKD). Persons with diabetes from four community-based studies were pooled: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study, and Framingham Offspring Study. Anemia was defined as a hematocrit <36% in women and <39% in men. CKD was defined as an estimated GFR of 15 to 60 ml/min per 1.73 m(2). Study outcomes included a composite of myocardial infarction (MI)/fatal coronary heart disease (CHD)/stroke/death and each outcome separately. Cox regression analysis was used to study the effect of anemia on the risk for outcomes after adjustment for potential confounders. The study population included 3015 individuals: 30.4% were black, 51.6% were women, 8.1% had anemia, and 13.8% had CKD. Median follow-up was 8.6 yr. There were 1215 composite events, 600 MI/fatal CHD outcomes, 300 strokes, and 857 deaths. In a model with a CKD-anemia interaction term, anemia was associated with the following hazard ratios (95% confidence intervals) in patients with CKD: 1.70 (1.24 to 2.34) for the composite outcome, 1.64 (1.03 to 2.61) for MI/fatal CHD, 1.81 (0.99 to 3.29) for stroke, and 1.88 (1.33 to 2.66) for all-cause mortality. Anemia was not a risk factor for any outcome in those without CKD (P > 0.2 for all outcomes). In persons with diabetes, anemia is primarily a risk factor for adverse outcomes in those who also have CKD.
African American Men and Intimate Partner Violence

Drawing on interviews with African American males in violent intimate relationships, this paper focuses on individual causes (exposure to violence), cultural causes (constructions of masculinity) and structural causes (unemployment and incarceration) of intimate partner violence (IPV) among African American men. IPV is “triggered” by two threats to masculinity, though I focus exclusively on the first trigger (breadwinning). The analyses are framed by Merton’s strain theory (1968) and his theory of unintended consequences (1976). I argue that at least for African American men, this framework when added to feminist theory and masculinity theory extends our understanding of battering, from the perspective of the batterer, beyond what other models have been able to accomplish. In short, from the point of view of many batterers, battering provides an accessible mechanism for African American men—who live in a social world plagued by a system of racial domination— to reassert their masculinity and thus maintain their male privilege and dominance in their heterosexual relationships. Yet battering has the unanticipated consequence of alienating them further from these same intimate partners, thus perpetuating the cycle of violence.
Image-Quality-Based Adaptive Face Recognition

The accuracy of automated face recognition systems is greatly affected by intraclass variations between enrollment and identification stages. In particular, changes in lighting conditions is a major contributor to these variations. Common approaches to address the effects of varying lighting conditions include preprocessing face images to normalize intraclass variations and the use of illumination invariant face descriptors. Histogram equalization is a widely used technique in face recognition to normalize variations in illumination. However, normalizing well-lit face images could lead to a decrease in recognition accuracy. The multiresolution property of wavelet transforms is used in face recognition to extract facial feature descriptors at different scales and frequencies. The high-frequency wavelet subbands have shown to provide illumination-invariant face descriptors. However, the approximation wavelet subbands have shown to be a better feature representation for well-lit face images. Fusion of match scores from low- and high-frequency-based face representations have shown to improve recognition accuracy under varying lighting conditions. However, the selection of fusion parameters for different lighting conditions remains unsolved. Motivated by these observations, this paper presents adaptive approaches to face recognition to overcome the adverse effects of varying lighting conditions. Image quality, which is measured in terms of luminance distortion in comparison to a known reference image, will be used as the base for adapting the application of global and region illumination normalization procedures. Image quality is also used to adaptively select fusion parameters for wavelet-based multistream face recognition.
Music, memory and emotion

Because emotions enhance memory processes and music evokes strong emotions, music could be involved in forming memories, either about pieces of music or about episodes and information associated with particular music. A recent study in BMC Neuroscience has given new insights into the role of emotion in musical memory.
Development of algorithms and software for forecasting, nowcasting and variability of TEC

() Department of Electrical and Electronics Engineering, Middle East Technical University, Balgat, Ankara, Turkey () TUBITAK Marmara Research Center, Information Technologies Research Institute, Gebze, Kocaeli, Turkey () Rutherford Appleton Laboratory, Chilton, Didcot, Oxon, U.K. () Faculty of Aeronautics and Astronautics, Istanbul Technical University (İTÜ), Maslak, Istanbul, Turkey () Department of Mathematics, Istanbul Technical University, Maslak, Istanbul, Turkey () Department of Electrical and Computer Engineering, Aristotelian University of Thessaloniki, Greece () Deutsches Zentrum für Luft und Raumfahrt (DLR), Institut für Kommunikation und Navigation (IKN), Neustrelitz, Germany
Organic Carbon Cycling in Forested Watersheds : A Carbon Isotope Approach Permalink

Dissolved organic carbon (DOC) is important in the acid-base chemistry of acid-sensitive freshwater systems; in the complexation, mobility, persistence, and toxicity of metals and other pollutants; and in lake carbon metabolism. Carbon isotopes (13C and •4C) are used to study the origin, transport, and fate of DOC in a softwater catchment in central Ontario. Precipitation, soil percolates, groundwaters, stream, beaver pond, and lake waters, and lake sediment pore water were characterized chemically and isotopically. In addition to total DOC, isotopic measurements were made on the humic and fulvic DOC fractions. The lake is a net sink for DOC. A •4C results indicate that the turnover time of most of the DOC in streams, lakes, and wetlands is fast, less than 40 years, and on the same time scale as changes in acidic deposition. DOC in groundwaters is composed of older carbon than surface waters, indicating extensive cycling of DOC in the upper soil zone or aquifer.
Antisense Oligonucleotide against hTERT (Cantide) Inhibits Tumor Growth in an Orthotopic Primary Hepatic Lymphoma Mouse Model

BACKGROUND
Human xenograft models, resulting from orthotopic transplantation (implantation into the anatomically correct site) of histologically intact tissue into animals, are important for investigating local tumor growth, vascular and lymphatic invasion at the primary tumor site and metastasis.


METHODOLOGY/PRINCIPAL FINDINGS
We used surgical orthotopic transplantation to establish a nude mouse model of primary hepatic lymphoma (PHL), HLBL-0102. We performed orthotopic transfer of the HLBL-0102 tumor for 42 generations and characterized the tumor cells. The maintenance of PHL characteristics were supported by immunohistochemical and cytogenetic analysis. We also report the antitumor effect of Cantide, an antisense phosphorothioate oligonucleotide against hTERT, on the growth of HLBL-0102 tumors. We showed a significant, dose-dependent inhibition of tumor weight and serum LDH activity in the orthotopically transplanted animals by Cantide. Importantly, survival was prolonged in Cantide-treated HLBL-0102 tumor-bearing mice when compared to mock-treated mice.


CONCLUSIONS/SIGNIFICANCE
Our study provided the basis for the development of a clinical trial protocol to treat PHL.