nils-herrmann/clean_scirepeval huggingface dataset:
Word Embeddings for Multi-label Document Classification

In this paper, we analyze and evaluate word embeddings for representation of longer texts in the multi-label document classification scenario. The embeddings are used in three convolutional neural network topologies. The experiments are realized on the Czech ČTK and English Reuters-21578 standard corpora. We compare the results of word2vec static and trainable embeddings with randomly initialized word vectors. We conclude that initialization does not play an important role for classification. However, learning of word vectors is crucial to obtain good results.
Universal-input single-stage PFC flyback with variable boost inductance for high-brightness LED applications

This paper presents a single-stage flyback power-factor-correction circuit with a variable boost inductance for high-brightness light-emitting-diode applications for the universal input voltage (90-270 Vrms). The proposed circuit overcomes the limitations of the conventional single-stage PFC flyback with a constant boost inductance, which cannot be designed to achieve a practical bulk-capacitor voltage level (i.e., less than 450 V) at high line while meeting the IEC 61000-3-2 Class C line current harmonic limits at low line. According to the proposed variable boost inductance method, the boost inductance is constant in the high-voltage range and it is reduced in the low-voltage range, resulting in discontinuous-conduction-mode operation and a low total harmonic distortion (THD) in both the high-voltage and low-voltage ranges. Measurements obtained on a 24-V/91-W experimental prototype are as follows: PF = 0.9873, THD = 12%, and efficiency = 88% at nominal low line (120 Vrms); and PF = 0.9474, THD = 10.39%, and efficiency = 91% at nominal high line (230 Vrms). The line current harmonics satisfy the IEC 61000-3-2 Class C limits with enough margin.
Fit-for-purpose biomarker method validation in anticancer drug development.

The introduction of new anticancer drugs into the clinic is often hampered by a lack of qualified biomarkers. Method validation is indispensable to successful biomarker qualification and is also a regulatory requirement. Recently, the fit-for-purpose approach has been developed to promote flexible yet rigorous biomarker method validation, although its full implications are often overlooked. This review aims to clarify many of the scientific and regulatory issues surrounding biomarker method validation and the analysis of samples collected from clinical trial subjects. It also strives to provide clear guidance on validation strategies for each of the five categories that define the majority of biomarker assays, citing specific examples.
Collaborative topic modeling for recommending scientific articles

Researchers have access to large online archives of scientific articles. As a consequence, finding relevant papers has become more difficult. Newly formed online communities of researchers sharing citations provides a new way to solve this problem. In this paper, we develop an algorithm to recommend scientific articles to users of an online community. Our approach combines the merits of traditional collaborative filtering and probabilistic topic modeling. It provides an interpretable latent structure for users and items, and can form recommendations about both existing and newly published articles. We study a large subset of data from CiteULike, a bibliography sharing service, and show that our algorithm provides a more effective recommender system than traditional collaborative filtering.
Dietary Factors in the Etiology of Parkinson's Disease

Parkinson's disease (PD) is the second most common neurodegenerative disorder. The majority of cases do not arise from purely genetic factors, implicating an important role of environmental factors in disease pathogenesis. Well-established environmental toxins important in PD include pesticides, herbicides, and heavy metals. However, many toxicants linked to PD and used in animal models are rarely encountered. In this context, other factors such as dietary components may represent daily exposures and have gained attention as disease modifiers. Several in vitro, in vivo, and human epidemiological studies have found a variety of dietary factors that modify PD risk. Here, we critically review findings on association between dietary factors, including vitamins, flavonoids, calorie intake, caffeine, alcohol, and metals consumed via food and fatty acids and PD. We have also discussed key data on heterocyclic amines that are produced in high-temperature cooked meat, which is a new emerging field in the assessment of dietary factors in neurological diseases. While more research is clearly needed, significant evidence exists that specific dietary factors can modify PD risk.
Insulin delivery methods: Past, present and future

Many patients with advanced type 2 diabetes mellitus (T2DM) and all patients with T1DM require insulin to keep blood glucose levels in the target range. The most common route of insulin administration is subcutaneous insulin injections. There are many ways to deliver insulin subcutaneously such as vials and syringes, insulin pens, and insulin pumps. Though subcutaneous insulin delivery is the standard route of insulin administration, it is associated with injection pain, needle phobia, lipodystrophy, noncompliance and peripheral hyperinsulinemia. Therefore, the need exists for delivering insulin in a minimally invasive or noninvasive and in most physiological way. Inhaled insulin was the first approved noninvasive and alternative way to deliver insulin, but it has been withdrawn from the market. Technologies are being explored to make the noninvasive delivery of insulin possible. Some of the routes of insulin administration that are under investigation are oral, buccal, nasal, peritoneal and transdermal. This review article focuses on the past, present and future of various insulin delivery techniques. This article has focused on different possible routes of insulin administration with its advantages and limitation and possible scope for the new drug development.
Biliary exosomes influence cholangiocyte regulatory mechanisms and proliferation through interaction with primary cilia.

Exosomes are small extracellular vesicles that are thought to participate in intercellular communication. Recent work from our laboratory suggests that, in normal and cystic liver, exosome-like vesicles accumulate in the lumen of intrahepatic bile ducts, presumably interacting with cholangiocyte cilia. However, direct evidence for exosome-ciliary interaction is limited and the physiological relevance of such interaction remains unknown. Thus, in this study, we tested the hypothesis that biliary exosomes are involved in intercellular communication by interacting with cholangiocyte cilia and inducing intracellular signaling and functional responses. Exosomes were isolated from rat bile by differential ultracentrifugation and characterized by scanning, transmission, and immunoelectron microscopy. The exosome-ciliary interaction and its effects on ERK1/2 signaling, expression of the microRNA, miR-15A, and cholangiocyte proliferation were studied on ciliated and deciliated cultured normal rat cholangiocytes. Our results show that bile contains vesicles identified as exosomes by their size, characteristic "saucer-shaped" morphology, and specific markers, CD63 and Tsg101. When NRCs were exposed to isolated biliary exosomes, the exosomes attached to cilia, inducing a decrease of the phosphorylated-to-total ERK1/2 ratio, an increase of miR-15A expression, and a decrease of cholangiocyte proliferation. All these effects of biliary exosomes were abolished by the pharmacological removal of cholangiocyte cilia. Our findings suggest that bile contains exosomes functioning as signaling nanovesicles and influencing intracellular regulatory mechanisms and cholangiocyte proliferation through interaction with primary cilia.
Comparison of postsimulation debriefing versus in-simulation debriefing in medical simulation.

A key portion of medical simulation is self-reflection and instruction during a debriefing session; however, there have been surprisingly few direct comparisons of various approaches. The objective of this study was to compare two styles of managing a simulation session: postsimulation debriefing versus in-simulation debriefing.



One hundred sixty-one students were randomly assigned to receive either postsimulation debriefing or in-simulation debriefing. Retrospective pre-post assessment was made through survey using Likert-scale questions assessing students' self-reported confidence and knowledge level as it relates to medical resuscitation and statements related to the simulation itself.



There were statistically significant differences in the reliable self-reported results between the two groups for effectiveness of the debriefing style, debriefing leading to effective learning, and the debriefing helping them to understand the correct and incorrect actions, with the group that received postsimulation debriefing ranking all these measures higher. Both groups showed significantly higher posttest scores compared with their pretest scores for individual and overall measures.



Students felt that a simulation experience followed by a debriefing session helped them learn more effectively, better understand the correct and incorrect actions, and was overall more effective compared with debriefing that occurred in-simulation. Students did not feel that interruptions during a simulation significantly altered the realism of the simulation.
Auricular ossification: A newly recognized feature of osteoprotegerin-deficiency juvenile Paget disease.

We report auricular ossification (AO) affecting the elastic cartilage of the ear as a newly recognized feature of osteoprotegerin (OPG)-deficiency juvenile Paget disease (JPD). AO and auricular calcification refer interchangeably to rigid pinnae, sparing the ear lobe, from various etiologies. JPD is a rare Mendelian disorder characterized by elevated serum alkaline phosphatase activity accompanied by skeletal pain and deformity from rapid bone turnover. Autosomal recessive transmission of loss-of-function mutations within TNFRSF11B encoding OPG accounts for most JPD (JPD1). JPD2 results from heterozygous constitutive activation of TNFRSF11A encoding RANK. Other causes of JPD remain unknown. In 2007, we reported a 60-year-old man with JPD1 who described hardening of his external ears at age 45 years, after 4 years of treatment with bisphosphonates (BPs). Subsequently, we noted rigid pinnae in a 17-year-old boy and 14-year-old girl, yet pliable pinnae in a 12-year-old boy, each with JPD1 and several years of BP treatment. Cranial imaging indicated cortical bone within the pinnae of both teenagers. Radiologic studies of our three JPD patients without mutations in TNFRSF11B showed normal auricles. Review of the JPD literature revealed possible AO in several reports. Two of our JPD1 patients had experienced difficult tracheal intubation, raising concern for mineralization of laryngeal elastic cartilage. Thus, AO is a newly recognized feature of JPD1, possibly exacerbated by BP treatment. Elastic cartilage at other sites in JPD1 might also ossify, and warrants investigation.
Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning

This review paper focuses on studies in healthy human subjects that examined the functional neuroanatomy and cerebral plasticity associated with the learning, consolidation and retention phases of motor skilled behaviors using modern brain imaging techniques. Evidence in support of a recent model proposed by Doyon and Ungerleider [ Squire LR, Schacter DL, editors. Neuropsychology of Memory.  2002.] is also discussed. The latter suggests that experience-dependent changes in the brain depend not only on the stage of learning, but also on whether subjects are required to learn a new sequence of movements (motor sequence learning) or learn to adapt to environmental perturbations (motor adaptation). This model proposes that the cortico-striatal and cortico-cerebellar systems contribute differentially to motor sequence learning and motor adaptation, respectively, and that this is most apparent during the slow learning phase (i.e. automatization) when subjects achieve asymptotic performance, as well as during reactivation of the new skilled behavior in the retention phase.
Survey of Image Denoising Techniques

Removing noise from the original signal is still a challenging problem for researchers. There have been several published algorithms and each approach has its assumptions, advantages, and limitations. This paper presents a review of some significant work in the area of image denoising. After a brief introduction, some popular approaches are classified into different groups and an overview of various algorithms and analysis is provided. Insights and potential future trends in the area of denoising are also discussed.
Prevalence and characteristics of avoidant/restrictive food intake disorder in a cohort of young patients in day treatment for eating disorders

Avoidant/Restrictive Food Intake Disorder (ARFID) is a "new" diagnosis in the recently published DSM-5, but there is very little literature on patients with ARFID. Our objectives were to determine the prevalence of ARFID in children and adolescents undergoing day treatment for an eating disorder, and to compare ARFID patients to other eating disorder patients in the same cohort.



A retrospective chart review of 7-17 year olds admitted to a day program for younger patients with eating disorders between 2008 and 2012 was performed. Patients with ARFID were compared to those with anorexia nervosa, bulimia nervosa, and other specified feeding or eating disorder/unspecified feeding or eating disorder with respect to demographics, anthropometrics, clinical symptoms, and psychometric testing, using Chi-square, ANOVA, and post-hoc analysis.



39/173 (22.5%) patients met ARFID criteria. The ARFID group was younger than the non-ARFID group and had a greater proportion of males. Similar degrees of weight loss and malnutrition were found between groups. Patients with ARFID reported greater fears of vomiting and/or choking and food texture issues than those with other eating disorders, as well as greater dependency on nutritional supplements at intake. Children's Eating Attitudes Test scores were lower for children with than without ARFID. A higher comorbidity of anxiety disorders, pervasive developmental disorder, and learning disorders, and a lower comorbidity of depression, were found in those with ARFID.



This study demonstrates that there are significant demographic and clinical characteristics that differentiate children with ARFID from those with other eating disorders in a day treatment program, and helps substantiate the recognition of ARFID as a distinct eating disorder diagnosis in the DSM-5.
Gap design for nonlinear ferrite cores to maximize inductance

Conventional design of ferrite-cored inductor employs air gaps to store magnetic energy. In this work, the gap length is allowed to be smaller than the conventional value so that the nonlinear ferrite material is biased in the region with low permeability and, hence, significant energy density. A peak in the inductance-gap relationship has thus been uncovered where the total energy stored in the gaps and the core is maximized. A reluctance model is formulated to explain the peaking behavior, and is verified experimentally. Curves of inductance versus gap length are generated to aid the design of swinging inductance and reduce the core size.
Voice-controlled smart assistive device for visually impaired individuals

This paper presents the modeling, implementation and testing of an experimental microcontroller (MCU) based smart assistive system which can be used by the visually impaired or blind people. This device includes haptic and audio feedback options from which the user can select. A Smart Phone can be used to control the device using predefined voice commands and Bluetooth connectivity. The device is portable and the purpose of its usage is to warn the user when objects are present on the walking path so collision can be avoided. Distance measurements, between the user and possible obstacles, are performed using ultrasonic echolocation and the data provided by the ultrasonic sensor is processed by a microcontroller, which also handles the feedback part. The hardware design, software architecture and mechanical design of the enclosure as well as the breadboard prototyping are covered in this material. Experimental results performed in different functionality scenarios demonstrate that the proposed system can be successfully used to fulfill its purpose.
Architectural support for SWAR text processing with parallel bit streams: the inductive doubling principle

Parallel bit stream algorithms exploit the SWAR (SIMD within a register) capabilities of commodity processors in high-performance text processing applications such as UTF-8 to UTF-16 transcoding, XML parsing, string search and regular expression matching. Direct architectural support for these algorithms in future SWAR instruction sets could further increase performance as well as simplifying the programming task. A set of simple SWAR instruction set extensions are proposed for this purpose based on the principle of systematic support for inductive doubling as an algorithmic technique. These extensions are shown to significantly reduce instruction count in core parallel bit stream algorithms, often providing a 3X or better improvement. The extensions are also shown to be useful for SWAR programming in other application areas, including providing a systematic treatment for horizontal operations. An implementation model for these extensions involves relatively simple circuitry added to the operand fetch components in a pipelined processor.
The problems and solutions of network update in SDN: A survey

Network is dynamic and requires update in the operation. However, many confusions and problems can be caused by careless schedule in the update process. Although the problem is noticed for long in traditional networks, software defined networking (SDN) brings new opportunities and solutions to this problem by the separation of control and data plane, as well as the centralized control. This paper makes a survey on the problems caused by network update, including forwarding loop, forwarding black hole, link congestion, network policy violation, etc., as well as the state-of-the-art solutions to these problems in the SDN paradigm.
Customer Satisfaction Modeling in Hotel Industry : A Case Study of Kish Island in Iran

PurposeHotel Industry is one of the most substantial factors for Tourism Industry. It could provide the necessary substructures for Tourism. Therefore the growth in Tourism industry depends on growth in Hotel industry. Hotel industry had a major growth in recent years in Iran; therefore the purpose of this paper is to explore the customer satisfaction in hotel industry. This paper aims to identify the relation between customer satisfactions as dependent variable with other independent variables such image, customer expectation, service quality, perceived value, locality, and complaining behavior. The second goal of this study was to propose a customer satisfaction model for hotel industry in Kish Island (IRAN). Therefore, the findings of this study will contribute to both hotel management and tourism industry improvement in Iran.  In this study the researcher had used two different kinds of samples. The first sample was customers of three different hotels of 3 stars, 4 stars, 5 stars which are immeasurable and unlimited. The total number of hotels with the rating of 3 stars, 4 stars, and 5 stars were 22.  correlation of image, customer expectation, service quality, perceived value, and customer loyalty are significant enough to show the correlation with customer satisfaction in hotel industry in Iran, furthermore the correlation of complaining behavior and customer was weak and negative, complaint behavior and customer satisfaction is negatively related, which means the lower complaint behavior was, the higher customer satisfaction obtained.  a theoretical point of view the results of this study illuminate the relationship between customer satisfaction with variety of factors in Iranian hotel industry. From practical point of view, it explains why certain customer has more trust, experience, loyalty in particular hotels. It is hypothesized and demonstrated empirically that customer satisfaction.
An implementation of portable ILS Localizer signal receiver using SDR

This paper presents an ILS Localizer signal receiver implementation based on Software Defined Radio (SDR) platform using GNU Radio software and USRP hardware. Two algorithms of signal analysis in discrete-time domain and discrete-frequency domain technique are proposed in this paper to measure the Difference in Depth of Modulation (DDM) and Sum of Depth of Modulation (SDM) of radio reception. The envelope detector in discrete-time method had successfully detected the peak envelope value of the AM signals which were needed to calculate for the modulation index. Also, a comparative method in discrete-frequency domain based on the Goertzel algorithm had efficiently provided the magnitude of the selected frequency components, which subsequently were used to calculate for the modulation index. These two presented methods are individually evaluated by comparing their measured DDM and SDM against two avionics ILS signal generators. Test results show the effectiveness of the receiver system and the possibility of future SDR development in avionics area.
Smartphone as a Personal, Pervasive Health Informatics Services Platform: Literature Review

The article provides an overview of current trends in personal sensor, signal and imaging informatics, that are based on emerging mobile computing and communications technologies enclosed in a smartphone and enabling the provision of personal, pervasive health informatics services.



The article reviews examples of these trends from the PubMed and Google scholar literature search engines, which, by no means claim to be complete, as the field is evolving and some recent advances may not be documented yet.



There exist critical technological advances in the surveyed smartphone technologies, employed in provision and improvement of diagnosis, acute and chronic treatment and rehabilitation health services, as well as in education and training of healthcare practitioners. However, the most emerging trend relates to a routine application of these technologies in a prevention/wellness sector, helping its users in self-care to stay healthy.



Smartphone-based personal health informatics services exist, but still have a long way to go to become an everyday, personalized healthcare-provisioning tool in the medical field and in a clinical practice. Key main challenge for their widespread adoption involve lack of user acceptance striving from variable credibility and reliability of applications and solutions as they a) lack evidence- based approach; b) have low levels of medical professional involvement in their design and content; c) are provided in an unreliable way, influencing negatively its usability; and, in some cases, d) being industry-driven, hence exposing bias in information provided, for example towards particular types of treatment or intervention procedures.