nils-herrmann/clean_scirepeval huggingface dataset:
Possible Applications of 3D Printing Technology on Textile Substrates

3D printing is a rapidly emerging additive manufacturing technology which can offer cost efficiency and flexibility in product development and production. In textile production 3D printing can also serve as an add on process to apply 3D structures on textiles. In this study the low cost fused deposition modeling (FDM) technique was applied using different thermoplastic printing materials available on the market with focus on flexible filaments such as thermoplastic elastomers (TPE) or Soft PLA. Since a good adhesion and stability of the 3D printed structures on textiles are essential, separation force and abrasion resistance tests were conducted with different kinds of printed woven fabrics demonstrating that a sufficient adhesion can be achieved. The main influencing factor can be attributed to the topography of the textile surface affected by the weave, roughness and hairiness offering formlocking connections followed by the wettability of the textile surface by the molten polymer, which depends on the textile surface energy and can be specifically controlled by washing (desizing) finishing or plasma treatment of the textile before the print. These basic adhesion mechanisms can also be considered crucial for 3D printing on knitwear.
The facilitators and impediment factors of midwifery student's empowerment in pregnancy and delivery care: A qualitative study
Venue: Journal of research in medical sciences the official journal of Isfahan University of Medical Sciences

The organizational environment and its existing context may deeply affect on empowerment of individuals. In educational institutions as well as other organizations, students are going to be powerful when opportunities for growth and achievement of power are provided for them in learning and educational environments. This study has been carried out to explain the facilitators and impediment factors of midwifery student's empowerment in pregnancy and delivery care.  The current qualitative study has been conducted with participation of 15 midwifery senior students, 10 midwifery academic teachers, and 2 employed midwives in educational hospitals. The given data were collected through individual and group semi structured interviews, and there were analyzed using directed content analysis method.  Three main categories of opportunity for acquisition of knowledge, opportunity for acquisition of clinical skills and opportunity for acquisition of clinical experiences formed structure of access to opportunity in the course of an explanation of facilitators and impediment factors for midwifery student's empowerment in pregnancy and delivery care.  To prepare and train the skilled midwives for giving care services to mothers during pregnancy and on delivery and after this period, the academic teachers and clinical instructors should pay due attention to providing the needed opportunities to acquire the applied knowledge and proficiency in the required skills for clinical work and the necessary clinical experiences in these individuals during college period.
Learning to Rank Features for Recommendation over Multiple Categories
Venue: SIGIR

Incorporating phrase level sentiment analysis on users' textual reviews for recommendation has became a popular meth od due to its explainable property for latent features and high prediction accuracy. However, the inherent limitations of the existing model make it difficult to (1) effectively distinguish the features that are most interesting to users, (2) maintain the recommendation performance especially when the set of items is scaled up to multiple categories, and (3) model users' implicit feedbacks on the product features. In this paper, motivated by these shortcomings, we first introduce a tensor matrix factorization algorithm to Learn to Rank user Preferences based on Phrase level sentiment analysis across Multiple categories (LRPPM for short) and then by combining this technique with Collaborative Filtering (CF) method, we propose a novel model called LRPPM CF to boost the performance of recommendation. Thorough experiments on two real world datasets demonstrate that our proposed model is able to improve the performance in the tasks of capturing users' interested features and item recommendation by about 17% 24% and 7% 13% respectively, as compared with several state of the art methods.
Fast algorithms to evaluate collaborative filtering recommender systems
Venue: Knowl. Based Syst.

Before deploying a recommender system, its performance must be measured and understood. So evaluation is an integral part of the process to design and implement recommender systems. In collaborative filtering, there are many metrics for evaluating recommender systems. Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) are among the most important and representative ones. To calculate MAE/RMSE, predicted ratings are compared with their corresponding true ratings. To predict item ratings, similarities between active users and their candidate neighbors need to be calculated. The complexity for the traditional and naive similarity calculation corresponding to user u and user v is quadratic in the number of items rated by u and v. In this paper, we explore the mathematical regularities underlying the similarity formulas, introduce a novel data structure, and design linear time algorithms to calculate the similarities. Such complexity improvement shortens the evaluation time and will finally contribute to increasing the efficiency of design and development of recommender systems. Experimental results confirm the claim.
Direct effect of chronic hypoxia in suppressing large conductance Ca2+ activated K+ channel activity in ovine uterine arteries via increasing oxidative stress
Venue: The Journal of physiology

Chronic hypoxia has a direct effect in down regulating the BKCa channel b1 subunit and inhibiting the BKCa channel activity in uterine arteries of pregnant sheep. Oxidative stress plays a causal role in hypoxia mediated suppression of BKCa channel function. The steroid hormone induced effect on BKCa channels is a target of hypoxia mediated oxidative stress. Inhibition of oxidative stress ameliorates the adverse effect of hypoxia both ex vivo and in vivo in pregnant sheep exposed to long term high altitude hypoxia. Our findings provide novel evidence of a causative role of oxidative stress in hypoxia mediated inhibition of the BKCa channel activity in uterine arteries and new insights in understanding and alleviating pregnancy complications associated with gestational hypoxia such as pre eclampsia and fetal growth restriction.
Leptin in normal physiology and leptin resistance

Since the discovery of leptin as an adipokine in 1994, much progress has been made in the research about leptin. Circulating leptin binds to leptin receptor, activates STAT3 dependent and STAT3 independent signaling pathways, and plays an effective role in energy homeostasis, neuroendocrine function and metabolism mainly through acting on the central nervous system, especially the hypothalamus. Leptin resistance is considered as a key risk factor for obesity. Various mechanisms have been formulated in order to explain leptin resistance, including impairment in leptin transport, attenuation in leptin signaling, ER stress, inflammation and deficiency in autophagy. Here, we review our current knowledge about leptin action, leptin signaling and leptin resistance, hoping to provide new ideas for the battle against obesity.Zhai Yao Zi Cong 1994Nian Shou Su Zuo Wei Yi Ge Zhi Fang Xi Bao Yin Zi Bei Fa Xian Guan Yu Shou Su De Yan Jiu Yi Jing Qu De Liao Hen Duo Jin Zhan Shou Su Yu Shou Su Shou Ti De Jie He Zai Zhong Shu Shen Jing Xi Tong Te Bie Shi Zai Xia Qiu Nao Zhong Ji Huo STAT3Yi Lai He Fei Yi Lai De Xin Hao Tong Lu Zai Wei Chi Neng Liang Wen Tai Shen Jing Nei Fen Mi Zuo Yong He Dai Xie Deng Fang Mian Du Fa Hui Liao Hen Zhong Yao De Zuo Yong Shou Su Di Kang Shi Fei Pang De Yi Ge Zhong Yao Wei Xian Yin Su Mu Qian Guan Yu Shou Su Di Kang De Ji Zhi You Hen Duo Bao Gua Shou Su Yun Shu Shou Sun Shou Su Xin Hao Tong Lu Xue Ruo Nei Zhi Wang Ying Ji Yan Zheng He Zi Shi Que Xian Zai Ci Wo Men Dui Shou Su De Gong Neng Shou Su De Xin Hao Tong Lu Shou Su Di Kang Deng Jin Xing Zong Shu Xi Wang Ke Yi Wei Dui Kang Fei Pang De Yan Jiu Ti Gong Xin De Si Lu
A 18F labeled dibenzocyclooctyne (DBCO) derivative for copper free click labeling of biomolecules

The new prosthetic group 18F TEG DBCO (dibenzocyclooctyne) can be prepared within a total reaction time of 60 min including purification with an overall yield (n.d.c. of 34 5% Copper free click cycloadditions with an azido cRGD, a folate azide and two a MSH analogue azido peptides resulted in very high RCYs and fast reaction kinetics.
Scheduling Real Time Communication in IEEE 802.1Qbv Time Sensitive Networks
Venue: RTNS '16

The enhancements being developed by the Time Sensitive Networking Task Group as part of IEEE 802.1 emerge as the future of real time communication over Ethernet networks for automotive and industrial application domains. In particular IEEE 802.1Qbv is key to enabling timeliness guarantees via so called time aware shapers. In this paper, we address the computation of fully deterministic schedules for 802.1Qbv compliant multi hop switched networks. We identify and analyze key functional parameters affecting the deterministic behaviour of real time communication under 802.1Qbv and, based on a generalized configuration of these parameters, derive the required constraints for computing offline schedules guaranteeing low and bounded jitter and deterministic end to end latency for critical communication flows. Furthermore, we discuss several optimization directions and concrete configurations exposing trade offs against the required computation time. We also show the performance of our approach via synthetic network workloads on top of different network configurations.
Circularly symmetric complex normal ratio distribution for scalar transmissibility functions. Part II: Probabilistic model and validation

In Part I of this study, some new theorems, corollaries and lemmas on circularly symmetric complex normal ratio distribution have been mathematically proved. This part II paper is dedicated to providing a rigorous treatment of statistical properties of raw scalar transmissibility functions at an arbitrary frequency line. On the basis of statistics of raw FFT coefficients and circularly symmetric complex normal ratio distribution, explicit closed form probabilistic models are established for both multivariate and univariate scalar transmissibility functions. Also, remarks on the independence of transmissibility functions at different frequency lines and the shape of the probability density function (PDF) of univariate case are presented. The statistical structures of probabilistic models are concise, compact and easy implemented with a low computational effort. They hold for general stationary vector processes, either Gaussian stochastic processes or non Gaussian stochastic processes. The accuracy of proposed models is verified using numerical example as well as field test data of a high rise building and a long span cable stayed bridge. This study yields new insights into the qualitative analysis of the uncertainty of scalar transmissibility functions, which paves the way for developing new statistical methodologies for modal analysis, model updating or damage detection using responses only without input information.
Culture, health, gender and coffee drinking: a Costa Rican perspective

The purpose of this paper is to identify the effect of culture, gender and perceived health benefits on coffee drinking in Costa Rica.  A telephone survey (n=1,328) was conducted in the province of San Jose, where the capital city is located. This location has a population of 845,000, with a 99 per cent, confidence, 1 per cent error and 50 per cent response distribution, the total usable surveys were 1,199. The analytical procedure, consisted of three steps; instrument validation, consumer profile development and developing ordinal logistic modelling.  The total a was estimated at 0.71. The coffee consumer profile is described but consisted of 52 per cent female and 48 per cent male with 77 per cent receiving a secondary education. The factors influencing coffee drinking by Costa Ricans, are in order of importance: first gender followed by family as a source of information, health, amount spent, aroma, anti migraine effect, family tradition, flavour and ene.
Effect of dietary lipid level and replacement of fish oil by soybean oil in compound feeds for the shortfin corvina (Cynoscion parvipinnis)

This study evaluated the effect of various dietary lipid levels for the shortfin corvina Cynoscion parvipinnis when provided as fish oil (FO) and the degree to which FO may be replaced by soybean oil (SO) without significantly affecting its biological performance or the nutritional value of the fillet for the consumers. Three levels of dietary lipid, 8, 12, and 16% and three levels of inclusion of FO, 100% FO, 75% FO 25% SO, and 50% FO 50% SO, were evaluated in an 8 week feeding trial with a 3 x 3 factorial design, on growth, feed utilization and body composition of this species. Juveniles (initial mean body weight: 97.47 g) were stocked into circular tanks of 250 L in a recirculating system at a density of 6 fish tank 1, assigning each dietary treatment to four replicate tanks. At the end of the trial, no significant differences were observed for either the main effects or their interaction in any of the growth parameters evaluated. The crude fat content of muscle was significantly affected by the dietary lipid level and by the level of FO replacement, ranging from 1.33% in fish fed 8% lipid, to 1.81% in fish fed 16% and from 1.25% in fish fed 100% FO, to 1.88% in fish fed 50% FO 50% SO. Linoleic acid content increased (0.65 to 1.43 mg g 1) as dietary SO replaced FO, while the eicosapentaenoic (0.67 to 0.55 mg g 1) and docosahexaenoic (1.49 to 1.26 mg g 1) acids decreased. The atherogenicity index (AI) ranged from 1.07 to 1.16, while the thrombogenicity index (TI) ranged from 0.18 to 0.29, and the n 3/n 6 ratio was significantly reduced from 2.65 in muscle of fish fed the 100% FO diet, to 1.43 in those fed the 50% FO diet. Thus, from an economic perspective, it would be desirable to limit the FO inclusion and to keep the total dietary lipid at 8% when dietary protein is provided at 44% in aquafeeds for the growout stage of this species. Moreover, up to 50% of FO can be replaced by SO with no adverse effects on growth, and, even though the fatty acid profile of the muscle was significantly modified by the replacement, the health lipid indices and n 3/n 6 ratios confirmed that the muscle still conserved the functional properties of nutraceutics for human health, and the fillets are valuable in a healthy diet as a source of essential fatty acids.  First documented data on lipid nutrition of the shortfin corvina.
Neuropsychological Profiles on the WAIS IV of Adults With ADHD
Venue: Journal of attention disorders

The aim of the study was to investigate the pattern of neuropsychological profiles on the Wechsler Adult Intelligence Scale IV (WAIS IV) for adults With ADHD relative to randomly matched controls and to assess overall intellectual ability discrepancies of the Full Scale Intelligence Quotient (FSIQ) and the General Ability Index (GAI)  In all, 116 adults With ADHD and 116 controls between 16 and 71 years were assessed.  Relative to controls, adults With ADHD show significant decrements in subtests with working memory and processing speed demands with moderate to large effect sizes and a higher GAI in comparison with the FSIQ.  This suggests first that deficits identified with previous WAIS versions are robust in adults With ADHD and remain deficient when assessed with the WAIS IV; second that the WAIS IV reliably differentiates between patients and controls; and third that a reduction of the FSIQ is most likely due to a decrement in working memory and processing speed abilities. The findings have essential implications for the diagnostic process.
Electronic and optical properties of MX3 (M Ti, Zr and Hf; X S, Se) structures: A first principles insight

Abstractauthoren Abstractauthoren The electronic and optical properties of semiconducting TiS3, HfS3, HfSe3, ZrS3, and ZrSe3 with structure P21/m have been investigated for the first time at the G0W0 and BSE level of approximations, respectively. The structures were relaxed using PBE with the inclusion of van der Waal's correction terms to account for long range dispersion forces, which is a necessary ingredient in predicting an accurate description of structural properties of layered systems. In order to predict reasonable estimates of the electronic properties, MBJ, HSE06, and G0W0 were used to calculate the fundamental band gaps of the structures and the Bethe Salpeter equation (BSE) was solved to obtain an accurate description of the optical properties of the compounds. It is found that the compounds have G0W0 band gaps between 0.58 to 2.17 eV. Their optical absorption spectra revealed that they start to absorb light in the range of 0.9 1.63 eV making them potential materials for third generation solar photovoltaic applications and possible photo catalysis applications.
Chemical Sensors Based on Metal Organic Frameworks.
Venue: ChemPlusChem

Metal organic frameworks (MOFs) as chemical sensors have developed rapidly in recent years. There have been many papers concerning this field and interest is still growing. The reason is that the specific merits of MOFs can be utilized to enhance sensitivity and selectivity by various energy/charge transfers occurring among different ligands, ligand, and metal centers, such as from ligands to metal centers or metal centers to ligands, as well as from MOF skeletons to guest species. This review intends to provide an update on recent progress in various applications of different MOF based sensors on the basis of their luminescent and electrochemical responses towards small molecules, gas molecules, ions (cations and anions) pH, humidity, temperature, and biomolecules. MOF based sensors function by utilizing different mechanisms, including luminescent responses of "turn on" and "turn off" as well as electrochemical responses.
Metal organic frameworks as biosensors for luminescence based detection and imaging
Venue: Interface Focus

Metal organic frameworks (MOFs) formed by the self assembly of metal centres or clusters and organic linkers, possess many key structural and chemical features that have enabled them to be used in sensing platforms for a variety of environmentally, chemically and biomedically relevant compounds. In particular, their high porosity, large surface area, tuneable chemical composition, high degree of crystallinity, and potential for post synthetic modification for molecular recognition make MOFs promising candidates for biosensing applications. In this review, we separate our discussion of MOF biosensors into two categories: quantitative sensing, focusing specifically on luminescence based sensors for the direct measurement of a specific analyte, and qualitative sensing, where we describe MOFs used for fluorescence microscopy and as magnetic resonance imaging contrast agents. We highlight several key publications in each of these areas, concluding that MOFs present an exciting, versatile new platform for biosensing applications and imaging, and we expect to see their usage grow as the field progresses.
Extracting fuzzy attack patterns using an online fuzzy adaptive alert correlation framework
Venue: Secur. Commun. Networks

The tremendous numbers of alerts provided by intrusion detection systems have made the alert correlation a vital issue. Despite of the considerable number of proposed methods, the online alert correlation is still an open issue. In this paper we proposed an online model for alert correlation. Our model consists of two modules: 1 the online fuzzy clustering module which clusters alerts into fuzzy events based on their similarity and historical relevance; 2 the fuzzy inter event pattern mining which provides the first module with the historical relevance of alerts by mining frequent fuzzy patterns among them. Using these two modules, our approach is as fast as similarity based approaches suitable for online alert correlation while it is able to extract complex attack scenarios like offline time consuming data mining based approaches. Furthermore, observing the frequent events makes our approach capable of detecting scenarios including wrapping tricks which tries to fake the source or destination IPs. The experimental results with the well known dataset DARPA2000 and the ISCX UNB intrusion detection evaluation dataset proved mentioned claims.
Evaluating Language learning Mobile Apps for Second language Learners

As mobile technologies become more affordable and more advanced in function, researchers suggest that using mobile apps to assist English language learning are appropriate. This three step evaluation study (designing a theory driven rubric, selecting apps, and evaluating the apps) aims to investigate and evaluate the affordances of English language learning mobile apps for adult learners. The results of this evaluation study contribute to the literature of mobile learning targeting adult learners, and also broaden the knowledge body of integrating mobile learning into English Language Learning (ELL) classes.
Multi sensor Information Fusion Cubature Kalman Particle Filter
Venue: 2016 9th International Symposium on Computational Intelligence and Design (ISCID)

Distributed parameter estimation is more practical in wireless sensor networks, as it has less communication overhead and is robust in large scale sensor networks. To solve the state estimation problem of nonlinear and non Gaussian system, we propose a distributed cubature Kalman particle filter, which use cubature Kalman filter to generate the importance proposal distribution of particle filter, it can solve the particle degradation problem and improve the estimation accuracy. The system merge the estimations via weighted linear combination, the weighting factor is obtained by linear minimum variance criterion. Simulation shows that the algorithm improves the accuracy of estimation than the single sensor subsystem.
The Chromosomes of Birds during Meiosis
Venue: Cytogenetic and Genome Research

The cytological analysis of meiotic chromosomes is an exceptional tool to approach complex processes such as synapsis and recombination during the division. Chromosome studies of meiosis have been especially valuable in birds, where naturally occurring mutants or experimental knock out animals are not available to fully investigate the basic mechanisms of major meiotic events. This review highlights the main contributions of synaptonemal complex and lampbrush chromosome research to the current knowledge of avian meiosis, with special emphasis on the organization of chromosomes during prophase I, the impact of chromosome rearrangements during meiosis, and distinctive features of the ZW pair.