nils-herrmann/clean_scirepeval huggingface dataset:
Emotional sensitivity, emotion regulation and impulsivity in borderline personality disorder: A critical review of fMRI studies

Emotional sensitivity, emotion regulation and impulsivity are fundamental topics in research of borderline personality disorder (BPD). Studies using fMRI examining the neural correlates concerning these topics is growing and has just begun understanding the underlying neural correlates in BPD. However, there are strong similarities but also important differences in results of different studies. It is therefore important to know in more detail what these differences are and how we should interpret these. In present review a critical light is shed on the fMRI studies examining emotional sensitivity, emotion regulation and impulsivity in BPD patients. First an outline of the methodology and the results of the studies will be given. Thereafter important issues that remained unanswered and topics to improve future research are discussed. Future research should take into account the limited power of previous studies and focus more on BPD specificity with regard to time course responses, different regulation strategies, manipulation of self-regulation, medication use, a wider range of stimuli, gender effects and the inclusion of a clinical control group.
Graphene-based Recyclable Photo-Absorbers for High-Efficiency Seawater Desalination.

Today's scientific advances in water desalination dramatically increase our ability to transform seawater into fresh water. As an important source of renewable energy, solar power holds great potential to drive the desalination of seawater. Previously, solar assisted evaporation systems usually relied on highly concentrated sunlight or were not suitable to treat seawater or wastewater, severely limiting the large scale application of solar evaporation technology. Thus, a new strategy is urgently required in order to overcome these problems. In this study, we developed a solar thermal evaporation system based on reduced graphene oxide (rGO) decorated with magnetic nanoparticles (MNPs). Because this material can absorb over 95% of sunlight, we achieved high evaporation efficiency up to 70% under only 1 kW m(-2) irradiation. Moreover, it could be separated from seawater under the action of magnetic force by decorated with MNPs. Thus, this system provides an advantage of recyclability, which can significantly reduce the material consumptions. Additionally, by using photoabsorbing bulk or layer materials, the deposition of solutes offen occurs in pores of materials during seawater desalination, leading to the decrease of efficiency. However, this problem can be easily solved by using MNPs, which suggests this system can be used in not only pure water system but also high-salinity wastewater system. This study shows good prospects of graphene-based materials for seawater desalination and high-salinity wastewater treatment.
Mirror Mirror: An On-Body T-shirt Design System

Virtual fitting rooms equipped with magic mirrors let people evaluate fashion items without actually putting them on. The mirrors superimpose virtual clothes on the user's reflection. We contribute the Mirror Mirror system, which not only supports mixing and matching of existing fashion items, but also lets users design new items in front of the mirror and export designs to fabric printers. While much of the related work deals with interactive cloth simulation on live user data, we focus on collaborative design activities and explore various ways of designing on the body with a mirror.
Rhomboid Flap Technique in Breast-conserving Surgery: An Alternative Method for the Reconstruction of Lumpectomy Defects.

We aimed to present our experience with rhomboid flap reconstruction, which is a simple technique, in breast cancer patients who underwent breast-conserving surgery.



We reviewed the medical records of 13 patients with breast cancer who underwent rhomboid flap reconstruction. The patients were evaluated for tumor size, safe surgical margin, and other clinical and pathological features.



The mean age of the patients was 43.1 years (range: 28-69 years). The mean tumor diameter was 30.8 mm (range: 15-60 mm). The mean of the safe margin of resection was evaluated to be 17.8 mm (range: 5-30 mm). Re-excision was required for one patient in the same session.



Rhomboid flap reconstruction can facilitate the applicability of breast-conserving surgery in early breast cancer patients with large tumor-to-breast-size ratio or tumors close to the skin.
An iterative model-based approach to cochannel speech separation

Cochannel speech separation aims to separate two speech signals from a single mixture. In a supervised scenario, the identities of two speakers are given, and current methods use pre-trained speaker models for separation. One issue in model-based methods is the mismatch between training and test signal levels. We propose an iterative algorithm to adapt speaker models to match the signal levels in testing. Our algorithm first obtains initial estimates of source signals using unadapted speaker models and then detects the input signal-to-noise ratio (SNR) of the mixture. The input SNR is then used to adapt the speaker models for more accurate estimation. The two steps iterate until convergence. Compared to search-based SNR detection methods, our method is not limited to given SNR levels. Evaluations demonstrate that the iterative procedure converges quickly in a considerable range of SNRs and improves separation results significantly. Comparisons show that the proposed system performs significantly better than related model-based systems.
Constructive hypothesizing, dialogic understanding and the therapist's inner conversation: some ideas about knowing and not knowing in the family therapy session.

The primary tasks of the therapist can be described as listening to what the client says and making space for what the client has not yet said. According to Anderson and Goolishian, the therapist should take a not-knowing stance in this dialogic process. The question remains, however, what not-knowing exactly means. In this article, I will explore this question and I will propose the concept of constructive hypothesizing. Constructive hypothesizing is described as a process in which there is a movement back and forth between knowing and not knowing. Of central importance are creative and dialogic understanding, rather than knowledge. Recommendations are made to ensure the constructive and collaborative use of hypotheses in the therapeutic dialogue.
Causal Discovery from Subsampled Time Series Data by Constraint Optimization

This paper focuses on causal structure estimation from time series data in which measurements are obtained at a coarser timescale than the causal timescale of the underlying system. Previous work has shown that such subsampling can lead to significant errors about the system's causal structure if not properly taken into account. In this paper, we first consider the search for the system timescale causal structures that correspond to a given measurement timescale structure. We provide a constraint satisfaction procedure whose computational performance is several orders of magnitude better than previous approaches. We then consider finite-sample data as input, and propose the first constraint optimization approach for recovering the system timescale causal structure. This algorithm optimally recovers from possible conflicts due to statistical errors. More generally, these advances allow for a robust and non-parametric estimation of system timescale causal structures from subsampled time series data.
Consumption of milk and calcium in midlife and the future risk of Parkinson disease.

To examine the relation between milk and calcium intake in midlife and the risk of Parkinson disease (PD).



Findings are based on dietary intake observed from 1965 to 1968 in 7,504 men ages 45 to 68 in the Honolulu Heart Program. Men were followed for 30 years for incident PD.



In the course of follow-up, 128 developed PD (7.1/10,000 person-years). Age-adjusted incidence of PD increased with milk intake from 6.9/10,000 person-years in men who consumed no milk to 14.9/10,000 person-years in men who consumed >16 oz/day (p = 0.017). After further adjustment for dietary and other factors, there was a 2.3-fold excess of PD (95% CI 1.3 to 4.1) in the highest intake group (>16 oz/day) vs those who consumed no milk. The effect of milk consumption on PD was also independent of the intake of calcium. Calcium from dairy and nondairy sources had no apparent relation with the risk of PD.



Findings suggest that milk intake is associated with an increased risk of Parkinson disease. Whether observed effects are mediated through nutrients other than calcium or through neurotoxic contaminants warrants further study.
Rice hull smoke extract inactivates Salmonella Typhimurium in laboratory media and protects infected mice against mortality.

A previously characterized rice hull smoke extract (RHSE) was tested for bactericidal activity against Salmonella Typhimurium using the disc-diffusion method. The minimum inhibitory concentration (MIC) value of RHSE was 0.822% (v/v). The in vivo antibacterial activity of RHSE (1.0%, v/v) was also examined in a Salmonella-infected Balb/c mouse model. Mice infected with a sublethal dose of the pathogens were administered intraperitoneally a 1.0% solution of RHSE at four 12-h intervals during the 48-h experimental period. The results showed that RHSE inhibited bacterial growth by 59.4%, 51.4%, 39.6%, and 28.3% compared to 78.7%, 64.6%, 59.2%, and 43.2% inhibition with the medicinal antibiotic vancomycin (20 mg/mL). By contrast, 4 consecutive administrations at 12-h intervals elicited the most effective antibacterial effect of 75.0% and 85.5% growth reduction of the bacteria by RHSE and vancomycin, respectively. The combination of RHSE and vancomycin acted synergistically against the pathogen. The inclusion of RHSE (1.0% v/w) as part of a standard mouse diet fed for 2 wk decreased mortality of 10 mice infected with lethal doses of the Salmonella. Photomicrographs of histological changes in liver tissues show that RHSE also protected the liver against Salmonella-induced pathological necrosis lesions. These beneficial results suggest that the RHSE has the potential to complement wood-derived smokes as antimicrobial flavor formulations for application to human foods and animal feeds.



The new antimicrobial and anti-inflammatory rice hull derived liquid smoke has the potential to complement widely used wood-derived liquid smokes as an antimicrobial flavor and health-promoting formulation for application to foods.
Implementation of DC/DC converter with high frequency transformer (DHFT) in hybrid AC/DC microgrid

Hybrid AC/DC microgrid is a compromised solution to cater for the increasing penetration of DC-compatible energy sources, storages and loads. In this paper, DC/DC converter with High Frequency Transformer (DHFT) is proposed to replace the conventional bulky transformer for bus voltage matching and galvanic isolation. Various DHFT topologies have been compared and CLLC-type has been recommended due to its capabilities of bidirectional power flow, seamless transition and low switching loss. Different operating scenarios of the hybrid AC/DC microgrid have been analyzed and DHFT open-loop control has been selected to simplify systematic coordination. DHFT are designed in order to maximize the conversion efficiency and minimize output voltage variations in different loading conditions. Lab-scale prototypes of the DHFT and hybrid AC/DC microgrid have been developed for experimental verifications. The performances of DHFT and system in both steady state and transient states have been confirmed.
A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption

The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients. A total of 791 articles were screened and 20 were selected for this review. The most common publication venue was conference proceedings (13, 54%). This review only considered recent studies published between 2015 and 2017. The identified studies involved chronic conditions (6, 30%), rehabilitation (7, 35%), cardiovascular diseases (4, 20%), falls (2, 10%) and mental health (1, 5%). Most studies focussed on the system aspects of WPM solutions including advanced sensors, wireless data collection, communication platform and clinical usability based on a specific area or disease. The current studies are progressing with localized sensor-software integration to solve a specific use-case/health area using non-scalable and ‘silo’ solutions. There is further work required regarding interoperability and clinical acceptance challenges. The advancement of wearable technology and possibilities of using machine learning and artificial intelligence in healthcare is a concept that has been investigated by many studies. We believe future patient monitoring and medical treatments will build upon efficient and affordable solutions of wearable technology.
Marketing Of Library And Information Services: Building A New Discipline For Library And Information Science Education in Asia

After introductory remarks on the definition of marketing, the evolution of library and information services (LIS) marketing is explained. The authors then describe how marketing was applied to LIS over the years. Marketing is also related to other concepts used in the management of LIS. Finally the role of professional associations in diffusing marketing theory is portrayed and the importance of education addressed. The entry ends with a reflection on the future of marketing for LIS.
EPPN: Extended Prime Product Number based wormhole DETECTION scheme for MANETs

MANETs are an upcoming technology that is gaining momentum in recent years. Due to their unique characteristics, MANETs are suffering from wide range of security attacks. Wormhole is a common security issue encounter in MANETs routing protocol. A new routing protocol naming extended prime product number (EPPN) based on the hop count model is proposed in this article. Here hop count between source & destination is obtained depending upon the current active route. This hop count model is integrated into AODV protocol. In the proposed scheme firstly the route is selected on the basis of RREP and then hop count model calculates the hop count between source & destination. Finally wormhole DETECTION procedure will be started if the calculated hop count is greater than the received hop count in the route to get out the suspected nodes.
Recent progress in the biology and physiology of sirtuins

The sirtuins are a highly conserved family of NAD+-dependent enzymes that regulate lifespan in lower organisms. Recently, the mammalian sirtuins have been connected to an ever widening circle of activities that encompass cellular stress resistance, genomic stability, tumorigenesis and energy metabolism. Here we review the recent progress in sirtuin biology, the role these proteins have in various age-related diseases and the tantalizing notion that the activity of this family of enzymes somehow regulates how long we live.
Driver Readiness Model for Regulating the Transfer from Automation to Human Control

In the collaborative driving scenario of truck platooning, the first car is driven by its chauffeur and the next cars follow automatically via a so-called 'virtual tow-bar'. The chauffeurs of the following cars do not drive 'in the towbar mode', but need to be able to take back control in foreseen emph{and} unforeseen conditions. It is crucial that this transfer of control only takes place when the chauffeur is ready for it. This paper presents a Driver Readiness (DR) ontological model that specifies the core factors, with their relationships, of a chauffeur's current and near-future readiness for taking back the control of driving. A first model was derived from a literature study and an analysis of truck driving data, which was refined subsequently based on an expert review. This DR model distinguishes (a) current and required states for the physical (hand, feet, head, and seating position) and mental readiness (attention and situation awareness), (b) agents (human and machine actor), (c) policies for agent behaviors, and (d) states of the vehicle and its environment. It provides the knowledge base of a Control Transfer Support (CTS) agent that assesses the current and predicted chauffeur state and guides the transition of control in an adaptive and personalized manner. The DR model will be fed by information from the network and in-car sensors. The behaviors of the CTS agent will be generated and constrained by the instantiated policies, providing an important step towards a safe transfer of control from automation to human driver.
Exploring the information seeking behavior of Greek graduate students : A case study set in the University of Macedonia

This paper describes a survey designed to determine the information seeking behavior of graduate students at the University of Macedonia (UoM). The survey is a continuation of a previous one undertaken in the Faculties of Philosophy and Engineering at the Aristotle University of Thessaloniki (AUTh). This paper primarily presents results from the UoM survey, but also makes comparisons with the findings from the earlier survey at AUTh. The 254 UoM students responding tend to use the simplest information search techniques with no critical variations between different disciplines. Their information seeking behavior seems to be influenced by their search experience, computer and web experience, perceived ability and frequency of use of esources, and not by specific personal characteristics or attendance at library instruction programs. Graduate students of both universities similar information seeking preferences, with the UoM students using more sophisticated techniques, such as Boolean search and truncation, more often than the AUTh students.
Double cervix and vagina with septate uterus: an uncommon müllerian malformation.

The case of an unusual müllerian anomaly is described.



A nulligravida was found to have a septate uterus with double cervix and a vagina with partial longitudinal vaginal septum. The anomaly presented symptomatically, was suggested by clinical examination, and confirmed by magnetic resonance imaging and intraoperative visualization. Visualization of the anomaly was enhanced by magnetic resonance-based three-dimensional reconstruction techniques.



Description of double cervix and vagina in the setting of an anatomically normal or simple septate uterus is uncommon. This anomaly is inconsistent with the generally accepted understanding of müllerian development but fits with an alternative hypothesis. Magnetic resonance imaging and magnetic resonance-based three-dimensional reconstruction was useful in aiding visualization of the anomaly.
NDVI Short-Term Forecasting Using Recurrent Neural Networks

In this paper predictions of the Normalized Difference Vegetation Index (NDVI) data recorded by satellites over Ventspils Municipality in Courland, Latvia are discussed. NDVI is an important variable for vegetation forecasting and management of various problems, such as climate change monitoring, energy usage monitoring, managing the consumption of natural resources, agricultural productivity monitoring, drought monitoring and forest fire detection. Artificial Neural Networks (ANN) are computational models and universal approximators, which are widely used for nonlinear, non-stationary and dynamical process modeling and forecasting. In this paper Elman Recurrent Neural Networks (ERNN) are used to make one-step-ahead prediction of univariate NDVI time series.
Chapter 7 Evolutionary Science of Female Orgasm

Despite decades of scientific study, the functional significance of the human female orgasm remains unsettled. Whereas male orgasm is usually coupled with ejaculation, there is no parallel association between women’s orgasm and a physiological process critical to reproduction. Indeed, even in a culture in which women’s orgasm was reportedly unknown, women managed to conceive without noticeable difficulty (Messenger 1971). It strikes many as curious that an event of such remarkable psychological import that it has been called la petite mort (“the little death”) would have no obvious reproductive function. This apparent paradox has inspired a number of scientists to offer hypotheses about the utility of the female orgasm, resulting in a heated and ongoing debate. As we discuss, some researchers have suggested that orgasm in women is a nonfunctional by-product of orgasm in men, whereas others suggest that women’s orgasm has been shaped by selection for its own function—in other words, that orgasm is an adaptation in women. In this chapter, we outline the debate between these viewpoints and review evidence for several functional hypotheses that are among the most plausible.
Fournier's Gangrene: Report of 2 Cases

Fournier's gangrene is a very serious surgical emergency seen all over the world. With the newer advancement of surgical techniques and critical care medicine, the mortality and morbidity of this disease has come down significantly over a period of time. An early diagnosis including evaluation of predisposing and etiological factors, metabolic and physiological parameters with prompt resuscitation, aggressive surgical debridement, broad-spectrum antibiotic coverage, and continuous monitoring of all the parameters is essential for a good outcome, therefore reducing the high mortality and morbidity of this condition. In this study, we report 2 different cases of Fournier gangrene. Our first case was a young, nondiabetic, and without any multiorgan failure, who was managed successfully with good outcome. The second case was a 67-year-old man with diabetes and multiorgan dysfunction with extensive gangrene at presentation, who recovered well, but with a stormy postoperative period.
Detail-preserved real-time hand motion regression from depth

This paper aims to address the very challenging problem of efficient and accurate hand tracking from depth sequences, meanwhile to deform a high-resolution 3D hand model with geometric details. We propose an integrated regression framework to infer articulated hand pose, and regress high-frequency details from sparse high-resolution 3D hand model examples. Specifically, our proposed method mainly consists of four components: skeleton embedding, hand joint regression, skeleton alignment, and high-resolution details integration. Skeleton embedding is optimized via a wrinkle-based skeleton refinement method for faithful hand models with fine geometric details. Hand joint regression is based on a deep convolutional network, from which 3D hand joint locations are predicted from a single depth map, then a skeleton alignment stage is performed to recover fully articulated hand poses. Deformable fine-scale details are estimated from a nonlinear mapping between the hand joints and per-vertex displacements. Experiments on two challenging datasets show that our proposed approach can achieve accurate, robust, and real-time hand tracking, while preserve most high-frequency details when deforming a virtual hand.