nils-herrmann/clean_scirepeval huggingface dataset:
Direct 4D printing via active composite materials

We describe an approach to print composite polymers in high-resolution three-dimensional (3D) architectures that can be rapidly transformed to a new permanent configuration directly by heating. The permanent shape of a component results from the programmed time evolution of the printed shape upon heating via the design of the architecture and process parameters of a composite consisting of a glassy shape memory polymer and an elastomer that is programmed with a built-in compressive strain during photopolymerization. Upon heating, the shape memory polymer softens, releases the constraint on the strained elastomer, and allows the object to transform into a new permanent shape, which can then be reprogrammed into multiple subsequent shapes. Our key advance, the markedly simplified creation of high-resolution complex 3D reprogrammable structures, promises to enable myriad applications across domains, including medical technology, aerospace, and consumer products, and even suggests a new paradigm in product design, where components are simultaneously designed to inhabit multiple configurations during service.
CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy

Marginal tables are the workhorse of capturing the correlations among a set of attributes. We consider the problem of constructing marginal tables given a set of user's multi-dimensional data while satisfying Local Differential Privacy (LDP), a privacy notion that protects individual user's privacy without relying on a trusted third party. Existing works on this problem perform poorly in the high-dimensional setting; even worse, some incur very expensive computational overhead. In this paper, we propose CALM, Consistent Adaptive Local Marginal, that takes advantage of the careful challenge analysis and performs consistently better than existing methods. More importantly, CALM can scale well with large data dimensions and marginal sizes. We conduct extensive experiments on several real world datasets. Experimental results demonstrate the effectiveness and efficiency of CALM over existing methods.
Relapsing polychondritis.

Relapsing polychondritis (RPC) is a unique and rarely observed autoimmune condition regarded as recurrent extensive chondritis of the auricular, nasal, and tracheal cartilages. Moreover, heart, main arteries, skin, and eyes may be involved. Several forms of clinical manifestations may be seen, and the pathogenesis still remains anonymous. A concomitant disease, particularly myelodysplasia or other systemic autoimmune disease can be detected in one-third of the patients with RPC. The treatment of RPC should be considered on personal basis and classified according to disease activity and severity. This study reviews the available data on clinical manifestations, pathogenesis, diagnosis, and therapeutics of the RPC.
An Electromagnetic Interference (EMI) Reduced High-Efficiency Switching Power Amplifier

The design of a new high-efficiency switching power amplifier with an ultralow-power spread spectrum clock generator (SSCG) is first reported in this paper. An effective low-power frequency modulation method is first proposed to reduce the electromagnetic interference of the pulse width modulation class D power amplifier without degrading its power efficiency. Also, a simple RC voltage feedback circuit is used to reduce the total harmonic distortion (THD). This amplifier proves to be a cost-effective solution for designing high fidelity and high efficiency audio power amplifiers for portable applications. Measurement results show that the power efficiency and THD can reach 90% and 0.05%, respectively. The power dissipation of the SSCG is only 112 ¿W. The harmonic peaks of the switching frequency are greatly reduced when the SSCG technique is applied to the amplifier design. The impact of the SSCG on the THD of the class D power amplifier is also first reported in this paper. This switching power amplifier is implemented using a Taiwan Semiconductor Manufacture Company (TSMC) 0.35- ¿m CMOS process.
Benefits and Challenges of Virtualization in 5 G Radio Access Networks

Future 5G deployments will embrace a multitude of novel technologies that will significantly change the air interface, system architecture, and service delivery platforms. However, compared to previous migrations to next-generation technologies, the implementation of mobile networks will receive particular attention this time. The virtualization of network functionality, the application of open, standardized, and inter-operable software, as well as the use of commodity hardware will transform mobile-network technology. In this paper, we focus on the benefits, challenges, and limitations that accompany virtualization in 5G radio access networks (RANs). Within the context of virtualized RAN, we consider its implementation requirements and analyze its cost. We also outline the impact on standardization, which will continue to involve 3GPP but will engage new players whose inclusion in the discussion encourages novel implementation concepts.
Analysis of earth's coverage of IRNSS and GPS augmented irnss

Global Positioning System (GPS) is a satellite based navigation system developed and declared operational by the U.S department of defense in the year 1995. It provides position, velocity and time everywhere, on or near the surface of the earth. To achieve nation's security different countries are developing regional navigation satellite systems. In this context India also has developed its regional navigation satellite system called as Indian Regional Navigation Satellite System (IRNSS) with a constellation of seven satellites. The IRNSS is expected to provide positional accuracy of 10 m over Indian landmass and 20 m, over Indian Ocean. IRNSS is featured with highly accurate position, velocity and timing information for authorized users. Studying the satellite coverage area is very essential because it is an important parameter for the analysis of user positioning. In this paper, an algorithm to estimate coverage area of GPS and IRNSS is explained. Using this algorithm, earth's surface coverage of IRNSS 5 and 7 satellite vehicles (SVs) are investigated. The best and worst cases of IRNSS 5 and 7 SV's constellations are analyzed. It is observed that in the worst case the coverage is reduced to a large extent. Subsequently, IRNSS is augmented with GPS and the earth's coverage is estimated. Comparative analysis of IRNSS, GPS and IRNSS augmented with GPS is also performed in terms of surface coverage. The augmentation has caused improvement in the specified performance parameter.
Placenta Accreta Spectrum.

From the Department of Obstetrics and Gynecology, University of Utah Health Sciences Center (R.M.S., D.W.B.), and the Women and Newborns Clinical Program of Intermountain Healthcare (D.W.B.) — both in Salt Lake City. Address reprint requests to Dr. Silver at the Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, 30 N. 1900 East, Rm.
Granular cell tumor of the vulva: six new cases

Granular cell tumors are rare neoplastic skin and soft tissue lesions: only 1–2% are malignant. Five to sixteen percent occur in the vulva. We present our experience with granular cell tumors of the vulva in six patients, all of whom had wide local excisions and were followed-up in our outpatient clinic for 3–171 months. One died of an unrelated cause. None of the others has evidence of the disease.
Antimicrobial Activity of Ferulic Acid Against Cronobacter sakazakii and Possible Mechanism of Action.

Cronobacter sakazakii is an opportunistic pathogen transmitted by food that affects mainly newborns, infants, and immune-compromised adults. In this study, the antibacterial activity of ferulic acid was tested against C. sakazakii strains. Minimum inhibitory concentration of ferulic acid against C. sakazakii strains was determined using the agar dilution method. Changes in intracellular pH, membrane potential and intracellular ATP concentration were measured to elucidate the possible antibacterial mechanism. Moreover, SYTO 9 nucleic acid staining was used to assess the effect of ferulic acid on bacterial membrane integrity. Cell morphology changes were observed under a field emission scanning electron microscope. The minimum inhibitory concentrations of ferulic acid against C. sakazakii strains ranged from 2.5 to 5.0 mg/mL. Addition of ferulic acid exerted an immediate and sustained inhibition of C. sakazakii proliferation. Ferulic acid affected the membrane integrity of C. sakazakii, as evidenced by intracellular ATP concentration decrease. Moreover, reduction of intracellular pH and cell membrane hyperpolarization were detected in C. sakazakii after exposure to ferulic acid. Reduction of green fluorescence indicated the injury of cell membrane. Electronic microscopy confirmed that cell membrane of C. sakazakii was damaged by ferulic acid. Our results demonstrate that ferulic acid has moderate antimicrobial activity against C. sakazakii. It exerts its antimicrobial action partly through causing cell membrane dysfunction and changes in cellular morphology. Considering its antimicrobial properties, together with its well-known nutritional functions, ferulic acid has potential to be developed as a supplement in infant formula or other foods to control C. sakazakii.
Can music preference indicate mental health status in young people?

In the aftermath of the double suicide of two teenage girls in 2007, the media linked the themes of 'emo' music and the girls' mental state. But it is not just emo music that has been the subject of scrutiny by the media. Rap music, country, and heavy metal have also been blamed for antisocial behaviours including violence, theft, promiscuity and drug use. It remains an important research and clinical question as to whether music contributes to the acting out of behaviours described in the music lyrics or whether the preferred music represents the already existing behavioural tendencies in the subject. This paper surveys and discusses the relevant literature on music preference and adolescent music listening behaviours, and their links with adolescent mental health.



Studies have found a relationship between various genres of music and antisocial behaviours, vulnerability to suicide, and drug use. However, studies reject that music is a causal factor and suggest that music preference is more indicative of emotional vulnerability. A limited number of studies have found correlations between music preference and mental health status. More research is needed to determine whether music preferences of those with diagnosed mental health issues differ substantially from the general adolescent population.
Full soft-switching bidirectional isolated current-fed dual inductor push-pull DC-DC converter for battery energy storage applications

This paper presents a novel bidirectional current-fed dual inductor push-pull DC-DC converter with galvanic isolation. The converter features active voltage doubler rectifier, which is controlled by the switching sequence synchronous to that of the input-side switches. The control algorithm proposed enables full-soft-switching of all switches in a wide range of the input voltage and power without requirement of snubbers or resonant switching to be employed. Operation principle for the energy transfer in the both directions is described. Experimental results as well as basic design guidelines are presented.
Characterizing Google Hacking: A First Large-Scale Quantitative Study

Google Hacking continues to be abused by attackers to find vulnerable websites on current Internet. Through searching specific terms of vulnerabilities in search engines, attackers can easily and automatically find a lot of vulnerable websites in a large scale. However, less work has been done to study the characteristics of vulnerabilities targeted by Google Hacking (e.g., what kind of vulnerabilities are typically targeted by Google Hacking? What kind of vulnerabilities usually have a large victim population? What is the impact of Google Hacking and how easy to defend against Google Hacking?). In this paper, we conduct the first quantitative characterization study of Google Hacking. Starting from 997 Google Dorks used in Google Hacking, we collect a total of 305,485 potentially vulnerable websites, and 6,301 verified vulnerable websites. From these vulnerabilities and potentially vulnerable websites, we study the characteristics of vulnerabilities targeted by Google Hacking from different perspectives. We find that web-related CVE vulnerabilities may not fully reflect the tastes of Google Hacking. Our results show that only a few specially chosen vulnerabilities are exploited in Google Hacking. Specifically, attackers only target on certain categories of vulnerabilities and prefer vulnerabilities with high severity score but low attack complexity. Old vulnerabilities are also preferred in Google Hacking. To defend against the Google Hacking, simply modifying few keywords in web pages can defeat 65.5 % of Google Hacking attacks.
Variation in pelvic morphology may prevent the identification of anterior pelvic tilt.

Pelvic tilt is often quantified using the angle between the horizontal and a line connecting the anterior superior iliac spine (ASIS) and the posterior superior iliac spine (PSIS). Although this angle is determined by the balance of muscular and ligamentous forces acting between the pelvis and adjacent segments, it could also be influenced by variations in pelvic morphology. The primary objective of this anatomical study was to establish how such variation may affect the ASIS-PSIS measure of pelvic tilt. In addition, we also investigated how variability in pelvic landmarks may influence measures of innominate rotational asymmetry and measures of pelvic height. Thirty cadaver pelves were used for the study. Each specimen was positioned in a fixed anatomical reference position and the angle between the ASIS and PSIS measured bilaterally. In addition, side-to-side differences in the height of the innominate bone were recorded. The study found a range of values for the ASIS-PSIS of 0-23 degrees, with a mean of 13 and standard deviation of 5 degrees. Asymmetry of pelvic landmarks resulted in side-to-side differences of up to 11 degrees in ASIS-PSIS tilt and 16 millimeters in innominate height. These results suggest that variations in pelvic morphology may significantly influence measures of pelvic tilt and innominate rotational asymmetry.
Visual Multi-Metric Grouping of Eye-Tracking Data

Understanding participants’ behavioral patterns and learning about commonalities and diversities in these is a challenging task. These types of analyses were done in past for many fields, such as usability research using machine learning, data mining (Paliouras, Papatheodorou, Karkaletsis, & Spyropoulos, 2002), grouping of users for music recommendation (Chen & Chen, 2001) based on complex amino acid sequences (Vernone, Berchialla, & Pescarmona, 2013). Such application exists also in the field of eye tracking, which is the focus of this paper. In this context, Netzel et al. (2017) conducted a user performance analysis and grouped participants based on a fixation label sequence of scanpaths and the bimodality coefficient. Kurzhals et al. (2014) grouped users on the basis of similarity functions such as Levenshtein distance applied to scanpaths, a function based on attention distribution, and one based on AOI transitions (Li, Çöltekin, & Kraak, 2010). Anderson et al. (2015) also conducted scanpath comparison in an experiment to reveal the similarities within and between the scanpaths of individuals looking at natural scenes.
Femtosecond pulse shaping using spatial light modulators

We review the field of femtosecond pulse shaping, in which Fourier synthesis methods are used to generate nearly arbitrarily shaped ultrafast optical wave forms according to user specification. An emphasis is placed on programmable pulse shaping methods based on the use of spatial light modulators. After outlining the fundamental principles of pulse shaping, we then present a detailed discussion of pulse shaping using several different types of spatial light modulators. Finally, new research directions in pulse shaping, and applications of pulse shaping to optical communications, biomedical optical imaging, high power laser amplifiers, quantum control, and laser-electron beam interactions are reviewed.
Association Analysis of Urotensin II Gene (UTS2) and Flanking Regions with Biochemical Parameters Related to Insulin Resistance

Urotensin II (UII) is a potent vasoconstrictor peptide, which signals through a G-protein coupled receptor (GPCR) known as GPR14 or urotensin receptor (UTR). UII exerts a broad spectrum of actions in several systems such as vascular cell, heart muscle or pancreas, where it inhibits insulin release.



Given the reported role of UII in insulin secretion, we have performed a genetic association analysis of the UTS2 gene and flanking regions with biochemical parameters related to insulin resistance (fasting glucose, glucose 2 hours after a glucose overload, fasting insulin and insulin resistance estimated as HOMA).



We have identified several polymorphisms associated with the analysed clinical traits, not only at the UTS2 gene, but also in thePER3 gene, located upstream from UTS2. Our results are compatible with a role for UII in glucose homeostasis and diabetes although we cannot rule out the possibility that PER3 gene may underlie the reported associations.
Silk fibroin: structural implications of a remarkable amino acid sequence.

The amino acid sequence of the heavy chain of Bombyx mori silk fibroin was derived from the gene sequence. The 5,263-residue (391-kDa) polypeptide chain comprises 12 low-complexity "crystalline" domains made up of Gly-X repeats and covering 94% of the sequence; X is Ala in 65%, Ser in 23%, and Tyr in 9% of the repeats. The remainder includes a nonrepetitive 151-residue header sequence, 11 nearly identical copies of a 43-residue spacer sequence, and a 58-residue C-terminal sequence. The header sequence is homologous to the N-terminal sequence of other fibroins with a completely different crystalline region. In Bombyx mori, each crystalline domain is made up of subdomains of approximately 70 residues, which in most cases begin with repeats of the GAGAGS hexapeptide and terminate with the GAAS tetrapeptide. Within the subdomains, the Gly-X alternance is strict, which strongly supports the classic Pauling-Corey model, in which beta-sheets pack on each other in alternating layers of Gly/Gly and X/X contacts. When fitting the actual sequence to that model, we propose that each subdomain forms a beta-strand and each crystalline domain a two-layered beta-sandwich, and we suggest that the beta-sheets may be parallel, rather than antiparallel, as has been assumed up to now.
Mining Big Data : Breast Cancer Prediction using DT-SVM Hybrid Model

Breast Cancer is becoming a leading cause of death among women in the whole world; meanwhile, it is confirmed that the early detection and accurate diagnosis of this disease can ensure a long survival of the patients. This paper work presents a disease status prediction employing a hybrid methodology to forecast the changes and its consequence that is crucial for lethal infections. To alarm the severity of the diseases, our strategy consists of two main parts: 1. Information Treatment and Option Extraction, and 2. Decision Tree-Support Vector Machine (DT-SVM) Hybrid Model for predictions. We analyse the breast Cancer data available from the Wisconsin dataset from UCI machine learning with the aim of developing accurate prediction models for breast cancer using data mining techniques. In this experiment, we compare three classifications techniques in Weka software and comparison results show that DTSVM has higher prediction accuracy than Instance-based learning (IBL), Sequential Minimal Optimization (SMO) and Naïve based classifiers. Index Terms breast cancer; classification; Decision TreeSupport Vector Machine, Naïve Bayes, Instance-based learning, Sequential Minimal Optimization, and weka;
Identifying Citation Contexts: a Review of Strategies and Goals

English. The Citation Contexts of a cited entity can be seen as little tesserae that, fit together, can be exploited to follow the opinion of the scientific community towards that entity as well as to summarize its most important contents. This mosaic is an excellent resource of information also for identifying topic specific synonyms, indexing terms and citers’ motivations, i.e. the reasons why authors cite other works. Is a paper cited for comparison, as a source of data or just for additional info? What is the polarity of a citation? Different reasons for citing reveal also different weights of the citations and different impacts of the cited authors that go beyond the mere citation count metrics. Identifying the appropriate Citation Context is the first step toward a multitude of possible analysis and researches. So far, Citation Context have been defined in several ways in literature, related to different purposes, domains and applications. In this paper we present different dimensions of Citation Context investigated by researchers through the years in order to provide an introductory review of the topic to anyone approaching this subject. Italiano. Possiamo pensare ai Contesti Citazionali come tante tessere che, unite, possono essere sfruttate per seguire l’opinione della comunità scientifica riguardo ad un determinato lavoro o per riassumerne i contenuti più importanti. Questo mosaico di informazioni può essere utilizzato per identificare sinonimi specifici e Index Terms nonchè per individuare i motivi degli autori dietro le citazioni. Identificare il Contesto Citazionale ottimale è il primo passo per numerose analisi e ricerche. Il Contesto Citazionale è stato definito in diversi modi in letteratura, in relazione a differenti scopi, domini e applicazioni. In questo paper presentiamo le principali dimensioni testuali di Contesto Citazionale investigate dai ricercatori nel corso degli
Compliance and Force Control for Computer Controlled Manipulators

Compliant motion of a manipulator occurs when the manipulator position is constrained by the task geometry. Compliant motion may be produced either by a passive mechanical compliance built in to the manipulator, or by an active compliance implemented in the control servo loop. The second method, called force control, is the subject of this paper. In particular a theory of force control based on formal models of the manipulator and the task geometry is presented. The ideal effector is used to model the manipulator, the ideal surface is used to model the task geometry, and the goal trajectory is used to model the desired behavior of the manipulator. Models are also defined for position control and force control, providing a precise semantics for compliant motion primitives in manipulation programming languages. The formalism serves as a simple interface between the manipulator and the programmer, isolating the programmer from the fundamental complexity of low-level manipulator control. A method of automatically synthesizing a restricted class of manipulator programs based on the formal models of task and goal trajectory is also provided by the formalism.