nils-herrmann/clean_scirepeval huggingface dataset:
HIZLI MODA MARKALARINDA CEVIK VE ESNEK TEDARIK ZINCIRI YONETIMI

Yogun bir rekabetin yasandigi is dunyasinda firmalar surekliliklerini saglamak icin tedarik zinciri yonetimi kavramina oldukca fazla onem vermeye baslamislardir. Bu surecte, zincir uyelerinin tek bir isletme gibi hareket edebilmesi neticesinde maliyetler azalmakta, belirsizlikler ortadan kalkmakta ve isletmelerin rekabet gucleri artmaktadir. Son donemlerde moda ve hazir giyim sanayinin yapisi, mevcut sezonlara ara sezonlar ekleyerek, musteriye daha cesitli secenekler sunmayi hedefleyen hizli moda kavramina dogru yonelmektedir. Bu yolla musteriye daha dusuk fiyatlar sunulmakta, satis miktarlari, kar ve marka bilinirligi artmaktadir. Bu calismada, hizli moda sektorunde uygulanmak uzere, tedarik zincirinin ceviklik ve esneklik boyutlariyla firma performansi arasindaki iliskiyi ortaya koyan bir model gelistirilmis ve modelde yer alan hipotezler coklu regresyon analizi ile test edilmistir.
Nematode parasites infecting the starry batfish Halieutaea stellata (Vahl) (Lophiiformes: Ogcocephalidae) from the East and South China Sea.
Venue: Journal of fish diseases

The starry batfish Halieutaea stellata (Vahl) is a small, benthic fish found in Indo West Pacific Oceans. However, our present knowledge of the helminth parasites of this fish is still fragmentary. In this study, a total of 29 fish collected from the East and South China Sea were examined to determine the prevalence, intensity and species composition of helminth parasites in H. stellata. Using morphological and molecular approaches, four species of nematodes were found parasitic in this fish host, including the adults and fourth stage larvae of Raphidascaroides nipponensis Yamaguti 1941; adults and third stage larvae of Raphidascaris lophii (Wu 1949) third and fourth stage larvae of Hysterothylacium larval type IV A of Shamsi, Gasser Beveridge 2013 and third stage larvae of Hysterothylacium amoyense (Hsu 1993) Halieutaea stellata represents a new host record for the three last named nematodes. Raphidascaroides nipponensis with the highest prevalence (82.5% and intensity (mean 13.5) of infection was considered as the dominant parasite species in H. stellata. The detailed morphology of the different developmental stages of the four nematode species was studied using light and scanning electron microscopy. All nematode species were also genetically characterized by sequencing and analysing the internal transcribed spacer (ITS) of the ribosomal DNA. This study provides further data on the occurrence of nematode parasites in H. stellata and also contributes to facilitate an accurate and rapid diagnosis of the infection by these little known nematodes.
First Record of Indian Hand Fish Halieutaea indica Annandale Jenkins, 1910 From Chennai Coast, Tamil Nadu, India

The angler fishes (Order Lophiiformes) have been evolved with some of the most unusual morphological and ecological adaptations in the tremendously diverse and varied clade of bony fishes and are among the most specialized groups of fishes. In the 18 families of the order "Ogcocephalidae" the bat fishes occupies one among them with 10 genera and about 70 species was reported worldwide. It is a poorly known group of small <300 mm) benthic fishes found in tropical and subtropical seas, from shallow inshore waters to depths as great as 3,000 m. They generally inhabit on continental shelves and slopes, on flat, relatively open bottom habitats of rubble, sand and mud.
Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework
Venue: IEEE Transactions on Intelligent Transportation Systems

Traffic scene perception (TSP) aims to extract accurate real time on road environment information, which involves three phases: detection of objects of interest, recognition of detected objects, and tracking of objects in motion. Since recognition and tracking often rely on the results from detection, the ability to detect objects of interest effectively plays a crucial role in TSP. In this paper, we focus on three important classes of objects: traffic signs, cars, and cyclists. We propose to detect all the three important objects in a single learning based detection framework. The proposed framework consists of a dense feature extractor and detectors of three important classes. Once the dense features have been extracted, these features are shared with all detectors. The advantage of using one common framework is that the detection speed is much faster, since all dense features need only to be evaluated once in the testing phase. In contrast, most previous works have designed specific detectors using different features for each of these three classes. To enhance the feature robustness to noises and image deformations, we introduce spatially pooled features as a part of aggregated channel features. In order to further improve the generalization performance, we propose an object subcategorization method as a means of capturing the intraclass variation of objects. We experimentally demonstrate the effectiveness and efficiency of the proposed framework in three detection applications: traffic sign detection, car detection, and cyclist detection. The proposed framework achieves the competitive performance with state of the art approaches on several benchmark data sets.
MEGAN Community Edition Interactive Exploration and Analysis of Large Scale Microbiome Sequencing Data
Venue: PLoS Comput. Biol.

There is increasing interest in employing shotgun sequencing, rather than amplicon sequencing, to analyze microbiome samples. Typical projects may involve hundreds of samples and billions of sequencing reads. The comparison of such samples against a protein reference database generates billions of alignments and the analysis of such data is computationally challenging. To address this, we have substantially rewritten and extended our widely used microbiome analysis tool MEGAN so as to facilitate the interactive analysis of the taxonomic and functional content of very large microbiome datasets. Other new features include a functional classifier called InterPro2GO, gene centric read assembly, principal coordinate analysis of taxonomy and function, and support for metadata. The new program is called MEGAN Community Edition (CE) and is open source. By integrating MEGAN CE with our high throughput DNA to protein alignment tool DIAMOND and by providing a new program MeganServer that allows access to metagenome analysis files hosted on a server, we provide a straightforward, yet powerful and complete pipeline for the analysis of metagenome shotgun sequences. We illustrate how to perform a full scale computational analysis of a metagenomic sequencing project, involving 12 samples and 800 million reads, in less than three days on a single server. All source code is available here: https:/github.com/danielhuson/megan ce
Qualimap 2: advanced multi sample quality control for high throughput sequencing data
Venue: Bioinform.

Detection of random errors and systematic biases is a crucial step of a robust pipeline for processing high throughput sequencing (HTS) data. Bioinformatics software tools capable of performing this task are available, either for general analysis of HTS data or targeted to a specific sequencing technology. However, most of the existing QC instruments only allow processing of one sample at a time.  Qualimap 2 represents a next step in the QC analysis of HTS data. Along with comprehensive single sample analysis of alignment data, it includes new modes that allow simultaneous processing and comparison of multiple samples. As with the first version, the new features are available via both graphical and command line interface. Additionally, it includes a large number of improvements proposed by the user community. Availability and implementation: The implementation of the software along with documentation is freely available at http:/www.qualimap.org.  meyer@mpiib berlin.mpg.de Supplementary information: Supplementary data are available at Bioinformatics online.
Common Auditors and Relationship Specific Investment in Supplier Customer Relationships

Using a sample of key supplier customer relationships, we investigate whether an auditor common to a supplier and customer firm reduces information asymmetry between the two parties, leading to an increase in relationship specific investments. We find evidence that the presence of a common auditor is positively related to relationship specific investments. In addition, we show that industry structure and financial constraints play a role in explaining this relation. Finally, we use Arthur Andersen's failure as an exogenous shock to the information environment and show that supplier customer pairs that shared Andersen prior to its failure are more likely to share an auditor post failure. Moreover, this higher propensity to share an auditor post failure is prevalent only in sub sample of firms where relationship specific investments are important. Overall, we demonstrate that common auditors in supplier customer relationships reduce information asymmetry in the supply chain and mitigate the investment inefficiency in relationship specific assets.
Comparative effectiveness of McCoy laryngoscope and CMAC(r) videolaryngoscope in simulated cervical spine injuries
Venue: Journal of anaesthesiology, clinical pharmacology

Videolaryngoscopes are increasingly being used in potentially difficult airway. McCoy laryngoscope provides definitive advantage over conventional laryngoscopes in cervical spine patients. The aim of this study was to compare the performance of the CMAC(r) videolaryngoscope with the McCoy Laryngoscope in patients with a cervical collar.  Sample size of at least 22 patients in each group was calculated using Intubation Difficulty Scale (IDS) score as the primary outcome. 60 American Society of Anesthesiologists I and II patients requiring tracheal intubation for elective surgery were randomly allocated into the McCoy group (n 30) and the CMAC(r) videolaryngoscope group (n 30) Anesthesia was induced with fentanyl 2 mcg/kg, propofol 2 3 mg/kg and rocuronium 0.6 mg/kg. A rigid collar was applied to immobilize the cervical spine. Comparative data on the IDS scale, Cormack Lehane (CL) laryngoscopic view, time taken for glottis visualization, time taken to pass endotracheal tube, total time to intubate, number of optimizing maneuvers and hemodynamic variables were recorded in the two groups.  IDS score was significantly less in the CMAC(r) group compared to the McCoy group (median [interquartile range (IQR) 1 [0 1] vs. 4 [3 6] P 0.05) CMAC(r) videolaryngoscope required significantly less time for glottic visualization with median (IQR) 5 (5 7) versus 14 (8 15) P 0.000 in McCoy laryngoscope, 29 (96.7% patients in the CMAC(r) group had Modified CL Grade I compared with 16 (53.3% patients in McCoy group. The hemodynamic variables, number of optimizing maneuvers and incidence of side effects were comparable in the two groups.  CMAC(r) videolaryngoscope forms an effective tool for the airway management of cervical spine patients with a cervical collar.
On graded Brown McCoy radicals of graded rings

We investigate the graded Brown McCoy and the classical Brown McCoy radical of a graded ring, which is the direct sum of a family of its additive subgroups indexed by a nonempty set, under the assumption that the product of homogeneous elements is again homogeneous. There are two kinds of the graded Brown McCoy radical, the graded Brown McCoy and the large graded Brown McCoy radical of a graded ring. Several characterizations of the graded Brown McCoy radical are given, and it is proved that the large graded Brown McCoy radical of a graded ring is the largest homogeneous ideal contained in the classical Brown McCoy radical of that ring.
Dynamic Cutoff Prediction in Multi Stage Retrieval Systems
Venue: ADCS

Modern multi stage retrieval systems are comprised of a candidate generation stage followed by one or more reranking stages. In such an architecture, the quality of the final ranked list may not be sensitive to the quality of the initial candidate pool, especially in terms of early precision. This provides several opportunities to increase retrieval efficiency without significantly sacrificing effectiveness. In this paper, we explore a new approach to dynamically predicting the size of an initial result set in the candidate generation stage, which can directly affect the overall efficiency and effectiveness of the entire system. Previous work exploring this tradeoff has focused on global parameter settings that apply to all queries, even though optimal settings vary across queries. In contrast, we propose a technique that makes a parameter prediction to maximize efficiency within an effectiveness envelope on a per query basis, using only static pre retrieval features. Experimental results show that substantial efficiency gains are achievable. In addition, our framework provides a versatile tool that can be used to estimate the effectiveness efficiency tradeoffs that are possible before selecting and tuning algorithms to make machine learned predictions.
Blood Lactate Levels Cutoff and Mortality Prediction in Sepsis Time for a Reappraisal? a Retrospective Cohort Study
Venue: Shock

The objective of this study was to identify the initial value of blood lactate that best correlates with 28 day mortality in resuscitated septic shock patients. This was a retrospective cohort study including 443 patients admitted to an intensive care unit (ICU) with severe sepsis or septic shock from the emergency department. A receiver operating characteristic (ROC) curve was drawn to obtain the best cutoff value for initial blood lactate associated with 28 day mortality. Patients were then dichotomized according to the chosen lactate cutoff, and sensitivity, specificity, and positive and negative predictive values were calculated. Baseline blood lactate level more than 2.5 mmol/L showed the largest area under the ROC curve to predict 28 day mortality (ROC area, 0.70; 95% confidence interval [CI] 0.62 0.79) with sensitivity, specificity, and negative predictive value of 67.4% 61.7% and 94.2% respectively. Mortality at 28 days was 16.9% (31/183) in patients with initial lactate more than 2.5 mmol/L and 5.8% (15/260) in patients with initial lactate at most 2.5 mmol/L (relative risk, 2.93; 95% CI, 1.63 5.28; P 0.001) Initial blood lactate levels more than 2.5 mmol/L (hazard ratio [HR] 2.86; 95% CI, 1.53 5.33; P 0.001) and Sepsis related Organ Failure Assessment score at ICU admission (HR, 1.18; 95% CI, 1.09 1.27; P 0.001) were associated with increased 28 day mortality in the adjusted Cox regression. In this retrospective cohort study, a lactate level more than 2.5 mmol/L was the best threshold to predict 28 day mortality among severe sepsis and septic shock patients. Further prospective studies should address the impact on morbidity and mortality of this threshold as a trigger to resuscitation in this population of critically ill patients.
Formally describing the software architecture of Systems of Systems with SosADL
Venue: 2016 11th System of Systems Engineering Conference (SoSE)

Conceiving Software Architecture Description Languages (ADLs) has been the subject of intensive research in the last two decades resulting in the definition of several ADLs for describing static and dynamic software architectures of (often large) single systems. However, none of these ADLs has the expressive power to formally describe the software architecture of a System of Systems (SoS) For addressing this research challenge, this paper proposes a novel ADL, named SosADL, specially conceived to formally describe the software architecture of SoSs. It embodies SoS architectural concepts while providing a formal language supporting automated analysis. Its toolset is outlined. The use of SosADL is illustrated through an extract of a case study.
Decision making in software architecture
Venue: J. Syst. Softw.

Software architecture is nowadays seen as a set of design decisions.This leads to studying decision making in software architecture.We outline research directions following from this paradigm shift. Traditionally, software architecture is seen as the result of the software architecture design process, the solution, usually represented by a set of components and connectors. Recently, the why of the solution, the set of design decisions made by the software architect, is complementing or even replacing the solution oriented definition of software architecture. This in turn leads to the study of the process of making these decisions. We outline some research directions that may help us understand and improve the software architecture design process.
Importance of patient centred signage and navigation guide in an orthopaedic and plastics clinic
Venue: BMJ quality improvement reports

Gulshan Nanji Orthopaedic and Plastics Center at the North York General Hospital is the second busiest site after the emergency department serving more than 26,000 patients annually. Increase in patient flow, overworked staff, and recent renovations to the hospital have resulted in patients experiencing long wait times, and thusly patient dissatisfaction and stress. Several factors contribute to patient dissatisfaction and stress: i) poor and unfriendly signage; ii) inconsistent utilization of the numbering system; and iii) difficulty navigating to and from the imaging center. A multidisciplinary QI team was assembled to improve the patient experience. We developed a questionnaire to assess patient stress levels at the baseline. Overall, more than half of the patients (54.8% strongly agreed or agreed to having a stressful waiting experience. Subsequently, based on patient feedback and staff perspectives, we implemented two PDSA cycles. For PDSA 1, we placed a floor graphic (i.e. black tape) to assist patients in navigating from the clinic to the imaging centre and back. For PDSA 2, we involved creating a single 21"x32" patient friendly sign at the entrance to welcome patients, with clear instructions outlining registration procedures. Surveys were re administered to assess patient stress levels. A combination of both interventions caused a statistically significant reduction in patient stress levels based on the Kruskal Wallis and Mann Whitney U Tests. The present project highlighted the importance of involving stakeholders as well as frontline staff when undertaking quality improvement projects as a way to identify bottlenecks as well as establish sustainable solutions. Additionally, the team recognized the importance of incorporating empirical based solutions and involving experts in the field to optimize results. The present project successfully implemented strategies to improve patient satisfaction and reduce stress in a high flow community clinic. These endpoints were achieved by incorporating patient friendly signage, as well as improving patient flow directors.
Imagining Under Constraints

As Hume famously claimed, we are nowhere more free than in our imagination. While this feature of imagination suggests that imagination has a crucial role to play in modal epistemology, it also suggests that imagining cannot provide us with any non modal knowledge about the world in which we live. This chapter rejects this latter suggestion. Instead it offers an account of "imagining under constraints," providing a framework for showing when and how an imaginative project can play a justificatory role with respect to our beliefs about the world. That we can be free in our imaginings does not show that they must proceed unfettered; as is argued, our ability to constrain our imaginings in light of facts about the world enables us to learn from them. The important upshot is that imagination has considerably more epistemic significance than previously thought.
Wearable haptic augmentation system using skin vibration sensor
Venue: VRIC

The aim of study is to complement and enhance the haptic sensation of human fingers that have different tactile perceptions owing to the age and proficiency. In this paper, we developed a wearable haptic augmentation system to modulate the haptic sensations in real time using polyvinylidene fluoride (PVDF) skin vibration sensor and vibro tactile feedback. We observed that the users could get more exhilarating experiences when touching the surrounding objects, and recognition of haptic properties became easier. The experimental result shows that the haptic sensation obtained by our proposed condition is approximately 5% higher than the no haptic feedback condition.
HDPauthor: A New Hybrid Author Topic Model using Latent Dirichlet Allocation and Hierarchical Dirichlet Processes
Venue: WWW

We present a new approach towards capturing topic interests corresponding to all the observed latent topics generated by an author in documents to which he or she has contributed. Topic models based on Latent Dirichlet Allocation (LDA) have been built for this purpose but are brittle as to the number of topics allowed for a collection and for each author of documents within the collection. Meanwhile, topic models based upon Hierarchical Dirichlet Processes (HDPs) allow an arbitrary number of topics to be discovered and generative distributions of interest inferred from text corpora, but this approach is not directly extensible to generative models of authors as contributors to documents with variable topical expertise. Our approach combines an existing HDP framework for learning topics from free text with latent authorship learning within a generative model using author list information. This model adds another layer into the current hierarchy of HDPs to represent topic groups shared by authors, and the document topic distribution is represented as a mixture of topic distribution of its authors. Our model automatically learns author contribution partitions for documents in addition to topics.
The Effect of Gender Policies on Fertility: The Moderating Role of Education and Normative Context
Venue: European journal of population Revue europeenne de demographie

In this paper, we aim to assess the extent to which individual level completed fertility varies across contexts characterized by policies supporting different gender division of labor models. We examine key labor market and care policies that shape gender relations in households and in the public domain. We also consider the role of gender norms, which can act as both a moderator and a confounding factor for policy effects. We hypothesize that, by facilitating role compatibility and reducing the gendered costs of childrearing, policies that support gender equality lead to an increase in fertility levels and to a reduction in fertility differentials by the level of education. Using individual level data from the European Union Survey on Income and Living Conditions for 16 countries, combined with country level data, we analyze completed fertility through multilevel Poisson's models. We find that the national level of childcare coverage is positively associated with fertility. Family allowances, prevalence of women's part time employment and length of paid leaves were also found to be positively associated with completed fertility, though the associations were not statistically significant. These variables show a significant positive pattern according to education. A high number of average working hours for men are negatively associated with completed fertility and show a strong negative pattern by educational level. The prevalence of gender egalitarian norms is highly predictive of fertility levels, yet we found no consistent evidence of a weaker association of gender equality policies in countries where egalitarian values are less prevalent.