nils-herrmann/clean_scirepeval huggingface dataset:
Room temperature production of silver nanofiber film for large area, transparent and flexible surface electromagnetic interference shielding
Venue: npj Flexible Electronics
Year: 2019

A kind of pollution known as electromagnetic interference (EMI) which results from ubiquitous usage of various electronic communication and military radar equipment, has been receiving increasing attention recently. However, large area EMI shielding on transparent and/or curved surfaces, including building windows, curved glass wall, and special requirements spaces (SRSs) remains hard to achieve. In this paper, a silver nanofiber (AgNF) based flexible and transparent EMI shielding film was successfully assembled via a room temperature roll to roll production method. For transparent application scenario, AgNF with 89% transmittance in visible range and 1 mm thickness shows ~20 dB shielding efficiency (EMI SE) On the other hand, total shielding >50 dB) is obtained when the thickness of AgNF increases to 10 mm, while its transmittance in visible range remains higher than 75% Considering the facile and scale free production technology, this material can be readily applied in large scale, transparent, and/or SRSs EMI shielding.
Posterior ischemic optic neuropathy: Perioperative risk factors
Venue: Taiwan journal of ophthalmology
Year: 2020

Perioperative posterior ischemic optic neuropathy (PION) is a rare but devastating condition. Visual impairment is commonly bilateral, profound, and irreversible. The most frequently associated triggering events are spine surgeries, other orthopedic surgeries, cardiac bypass surgeries, and radical neck dissection. The etiology is multifactorial. The most commonly reported risk factors are severe and prolonged hypotension, anemia, hemodilution, orbital and periorbital edema, direct orbital compression by prone position, and abnormal autoregulation. This review discusses the current literature on perioperative PION and includes a study conducted by our group to investigate the perioperative risk factors of PION in order to better understand the pathogenesis and help identify high risk patients. Our results provide further corroborating evidence that PION is associated with spinal, cardiovascular, and abdominal surgeries, longer duration of procedure, and facial edema. Anemia and chronic hypertension are frequent risk factors. Treatment for perioperative PION is uncertain and depends largely on the immediate reversal of hemodynamic alterations. Hence, it is important to identify patients at risk and accordingly take prophylactic measures to prevent its occurrence. Optimizing hemoglobin levels, hemodynamic status, and tissue oxygenation is crucial.
Bien etre percu, performances scolaires et qualite de vie des enfants a l'ecole et au college etude longitudinale
Year: 2017

Cette etude vise a decrire differents profils de bien etre a l'ecole et au college et a determiner si ces profils sont associes aux performances academiques, a la satisfaction scolaire et a la qualite de vie globale des eleves evaluees un an plus tard. Pour cela, 557 eleves scolarises a l'ecole primaire (N 253) et au college (N 354) ont ete suivis pendant deux annees scolaires. Les analyses realisees ont permis de distinguer 3 profils de bien etre a partir des scores obtenus aux differentes dimensions du questionnaire BE Scol (Guimard et al. 2015) lors de la premiere annee les enfants Satisfaits et sereins (SS) Peu satisfaits mais sereins (PSS) et Peu satisfaits et inquiets (PSI) Par ailleurs, ces profils apparaissent lies aux performances academiques, a la satisfaction scolaire et a la satisfaction de vie des eleves evaluees la deuxieme annee. Ces resultats confirment l'interet d'une evaluation multidimensionnelle du bien etre a l'ecole et son role dans la reussite scolaire et la qualite de vie des enfants.
Influence Of Integrated Learning Models Type Connected Assisted Media Images On Results Learning Of Sains
Year: 2018

This study aims to determine differences in the learning outcomes of Sains between students who were taught using integrated learning model connected type of image media with students who were taught using direct instruction model (direc instruction) The population of this study is all students of grade IV SD 237 Mattirobulu Pinrang District 2017/2018 lessons year, which amounted to 186 people. Class samples from this research are 28 students of class IVA as the experimental class and students of grade IVB SD Negri 237 Mattirobulu Pinrang District as many as 28 people as a control class selected by drawing. The research design used is a quasi experimental research design with "Non Equivalent Post test Only Control Group Design" pattern. Student learning result data is obtained by objective test. Data were analyzed by using descriptive statistical analysis technique and inferential statistic that is t test. The results of this study show that there is a significant difference of learning outcomes between students who are taught using integrated learning model of assisted type of image connected with students who are taught using direct instruction model. The difference is seen from the results of scores of students' learning achievement of Sains obtained tcount is greater than t table (tct 3.815> ttable 2.021) at 5% significance level. In other words, the integrated learning model of connected type of media aided image has an effect on students' learning outcomes compared to direct instruction. Connected Model, Image, Learning Outcomes of Sains Normal 0 false false false EN US X NONE X NONE Style Definitions table.MsoNormalTable {mso style name:"Table Normal" mso tstyle rowband size:0; mso tstyle colband size:0; mso style noshow:yes; mso style priority:99; mso style qformat:yes; mso style parent:" mso padding alt:0cm 5.4pt 0cm 5.4pt; mso para margin top:0cm; mso para margin right:0cm; mso para margin bottom:10.0pt; mso para margin left:0cm; line height:115% mso pagination:widow orphan; font size:11.0pt; font family:"Calibri""sans serif" mso ascii font family:Calibri; mso ascii theme font:minor latin; mso fareast font family:"Times New Roman" mso fareast theme font:minor fareast; mso hansi font family:Calibri; mso hansi theme font:minor latin;
Evaluating WordNet based Measures of Lexical Semantic Relatedness
Venue: CL
Year: 2006

The quantification of lexical semantic relatedness has many applications in NLP, and many different measures have been proposed. We evaluate five of these measures, all of which use WordNet as their central resource, by comparing their performance in detecting and correcting real word spelling errors. An information content based measure proposed by Jiang and Conrath is found superior to those proposed by Hirst and St Onge, Leacock and Chodorow, Lin, and Resnik. In addition, we explain why distributional similarity is not an adequate proxy for lexical semantic relatedness.
Berth allocation recovery for container transshipment terminals
Year: 2020

In container terminals, operators normally form an initial plan for berth allocation before the arrival of incoming vessels. However, during the real operations, unforeseen incidents (e.g. delays, equipment breakdowns) happen frequently, which hinder the implementation of initial plans. In response to disruptions, terminal operators usually employ an experience based strategy for berth allocation recovery. However, this practice may not work well in challenging situations, especially when extensive transshipment operations need to be conducted, and the berthing for mother and feeder vessels should be coordinated. This paper studies the disruption recovery problem for berth allocation in transshipment terminals, and develops decision support tools for terminal operators. A mixed integer linear programming model is established to adjust original berthing plan with the objective of minimizing recovery cost caused by deviations from the original plan. Quay crane assignment decision is also taken into account during disruption recovery. Transshipment connections between correlated feeder and mother vessels are also considered specifically in order to reduce the missing of transshipment connection opportunities. Squeaky Wheel Optimization heuristic is devised to find near optimal solutions under large problem scales. Extensive computational experiments validate the effectiveness and the efficiency of designed method, and the results show practical benefit from incorporating transshipment consideration when rescheduling berth allocation.
Internal Structure and Reliability of the Internalized Stigma of Mental Illness Scale (ISMI 29) and Brief Versions (ISMI 10, ISMI 9) Among Americans With Depression
Year: 2017

The Internalized Stigma of Mental Illness (ISMI) Scale is designed to measure self stigma among persons with psychiatric disorders. Research provides varying degrees of evidence supporting the reliability and validity of the original English language version of the ISMI 29 as well as an array of translated and/or modified versions for particular disorders or populations used with samples from around the world. The present paper is the first to use confirmatory factor analysis to investigate the internal structure of the English ISMI 29, ISMI 24 (a version that excludes the Stigma Resistance subscale) and ISMI 10 short form (ISMI 10) using a sample of 758 community dwelling adults who identified as depressed. Across all three versions, results of bifactor analyses and model based reliability estimates provided evidence for the calculation and interpretation of the total score as a measure of the general internalized stigma of mental illness construct, but did not support the use of individual subscales. Results also supported the inclusion of the Stigma Resistance subscale items when calculating the ISMI total scores. Also, a new 9 item unidimensional short form of the ISMI (ISMI 9) was developed and evaluated. Results suggested that the ISMI 9 may offer certain psychometric advantages over the ISMI 10. Researchers are strongly encouraged to conduct further internal structure analyses of the ISMI and its various alternate versions to determine the idiosyncrasy versus generalizability of the present findings.
Novel Bi2WO6 modified by N doped graphitic carbon nitride photocatalyst for efficient photocatalytic degradation of phenol under visible light
Year: 2020

In this study, a series of NCN/BiWO (NCN N doped graphitic carbon nitride, BiWO Bi2WO6) were fabricated successfully, which were characterized by XRD, TEM, FTIR, BET, UV vis spectrometry, XPS and PL. Under visible light irradiation, the optimum mass ratio of 60 NCN/BiWO could reach 93.1 removal efficiency of phenol within 5 h, which was about 6.9 times as that pure Bi2WO6. And the degradation rate constant of 60 NCN/BiWO (2.6726 min 1) was about 18.5 times as that of pure Bi2WO6 (0.1442 min 1) According to the result of UV vis absorption spectra, VB XPS spectra and photoelectrochemistry performance, the photocatalytic mechanism of 60 NCN/BiWO was revealed, indicating that the narrow band gap of 60 NCN/BiWO is the main factor on the high photocatalytic activity. The stable and recyclable properties also were done, showing highly suitable for practical application.
Soil properties changes earthworm diversity indices in different agro ecosystem
Venue: BMC Ecology
Year: 2020

Earthworm communities are generally very sensitive to physico chemical properties of the soil in different agro ecosystem i.e. cultivated or non cultivated which directly or indirectly influence the earthworm survival. The difference in physico chemical properties of soil at different sites contributed to the formation of population patches for earthworm species. Understanding the physico chemical properties of soil at a particular site could facilitate the prediction of earthworm species at that site. The objective of the present study was to investigate the diversity, abundance, and distribution of earthworms in cultivated and non cultivated agroecosystems and their physico chemical properties affecting the earthworm diversity and abundance.  Total 10 species of earthworms i.e. Amynthas alexandri, Amynthas morrisi, Eutyphoeus incommodus, Eutyphoeus waltoni, Metaphire birmanica, Metaphire houlleti, Metaphire posthuma, Octochaetona beatrix, Perionyx excavatus, and Polypheretima elongata, were reported. Out of all the reported species, Metaphire posthuma was found to be the most abundant earthworm species in both cultivated and non cultivated agroecosystems with the occurrence at 56.81% sites. The Shannon Wiener index (H) Margalef species richness index (D Mg and Pielou species evenness (E) was ranged from 0 to 0.86, 0 to 0.64 and 0.78 to 1 respectively. The principal component analysis resulted in four principal components i.e. PC1, PC2, PC3 and PC4 which contributing variance of 22.96, 19.37, 14.23 and 10.10 respectively. The principal component analysis also showed that physico chemical parameters of soil such as EC, pH, TDS, texture, OC, moisture, etc. play a critical role in earthworm distribution.  The conventional farming system has a negative effect on the earthworm diversity in the soil while the physico chemical properties of soil also have a determinant effect on the same. Earthworms abundance in the present study have significant direct relation with soil properties at a particular site and vice versa. The diversity indices also change due to the conventional farming system which directly affects the earthworm abundance.
The anatomy of E Learning tools: Does software usability influence learning outcomes?
Venue: Anatomical sciences education
Year: 2016

Reductions in laboratory hours have increased the popularity of commercial anatomy e learning tools. It is critical to understand how the functionality of such tools can influence the mental effort required during the learning process, also known as cognitive load. Using dual task methodology, two anatomical e learning tools were examined to determine the effect of their design on cognitive load during two joint learning exercises. A.D.A.M. Interactive Anatomy is a simplistic, two dimensional tool that presents like a textbook, whereas Netter's 3D Interactive Anatomy has a more complex three dimensional usability that allows structures to be rotated. It was hypothesized that longer reaction times on an observation task would be associated with the more complex anatomical software (Netter's 3D Interactive Anatomy) indicating a higher cognitive load imposed by the anatomy software, which would result in lower post test scores. Undergraduate anatomy students from Western University, Canada (n 70) were assessed using a baseline knowledge test, Stroop observation task response times (a measure of cognitive load) mental rotation test scores, and an anatomy post test. Results showed that reaction times and post test outcomes were similar for both tools, whereas mental rotation test scores were positively correlated with post test values when students used Netter's 3D Interactive Anatomy (P 0.007) but not when they used A.D.A.M. Interactive Anatomy. This suggests that a simple e learning tool, such as A.D.A.M. Interactive Anatomy, is as effective as more complicated tools, such as Netter's 3D Interactive Anatomy, and does not academically disadvantage those with poor spatial ability.
Emote aloud during learning with AutoTutor: Applying the Facial Action Coding System to cognitive affective states during learning
Year: 2008

In an attempt to discover the facial action units for affective states that occur during complex learning, this study adopted an emote aloud procedure in which participants were recorded as they verbalised their affective states while interacting with an intelligent tutoring system (AutoTutor) Participants' facial expressions were coded by two expert raters using Ekman's Facial Action Coding System and analysed using association rule mining techniques. The two expert raters received an overall kappa that ranged between .76 and .84. The association rule mining analysis uncovered facial actions associated with confusion, frustration, and boredom. We discuss these rules and the prospects of enhancing AutoTutor with non intrusive affect sensitive capabilities.
Concurrent Tumor Treating Fields (TTFields) and Radiation Therapy for Newly Diagnosed Glioblastoma: A Prospective Safety and Feasibility Study
Venue: Frontiers in Oncology
Year: 2020

TTFields are a loco regional, anti mitotic treatment comprising low intensity alternating electric fields. In the EF 14 study of newly diagnosed glioblastoma (ndGBM) TTFields in combination with temozolomide (TMZ) significantly improved survival vs. TMZ alone. In preclinical studies TTFields had a radiosensitizing effect and increased the efficacy of radiation therapy (RT) This study prospectively evaluated the feasibility and safety of TTFields administered concurrently with RT and TMZ in ndGBM patients.  Patients with histologically confirmed ndGBM were treated with TTFields/RT/TMZ followed by adjuvant TMZ/TTFields. TTFields (200 kHz) were delivered for =18 hours/day with transducer arrays removed during RT delivery. RT was administered to the tumor bed in 30 fractions (total dose 60 Gy) combined with daily TMZ (75 mg/m2) In the adjuvant phase, patients received monthly TMZ (150 200 mg/m2 for 5 days) plus TTFields. Patients were followed for 24 months or until second disease progression. The primary outcome was safety of the combined therapies; secondary outcomes included progression free survival (PFS) and overall survival (OS) Adverse events (AEs) were graded per CTCAE v4.0.  Ten patients were enrolled at a single center between April and December 2017. Median age was 60.2 years, median Karnofsky Performance Score was 90.0, and 80% patients were male. Five (50% patients had undergone tumor resection while the remainder had biopsy only. Eight patients experienced =1 RT treatment delay; delays were unrelated to TTFields treatment. All patients experienced =1 AE. Three patients suffered from serious AEs (urinary tract infection, confusional state, and decubitus ulcer) that were considered unrelated to TTFields. The most common AE was skin toxicity, reported in eight (80% patients; all were of low severity (CTCAE grade 1 2) and were reported as related to TTFields treatment. Median PFS from enrollment was 8.9 months; median OS was not reached at the time of study closure.  Eighty percent of patients experienced grade 1 2 TTFields related skin toxicity. No other TTFields related toxicities were observed without an increase in RT or TMZ related toxicities as a result of combining TTFields with these therapies. Preliminary efficacy results are promising and warrant further investigation of concurrent TTFields/RT/TMZ treatment in ndGBM patients.
Sekseverschillen in Leiderschap: Onderzoek naar de relatie tussen leiderschapsstijlen, self efficacy en stereotypen en de impact van geslachtsverschillen
Year: 2006

Dit onderzoek richt zich op leiderschap binnen organisaties. Door de groeiende deelname van vrouwen aan het arbeidsproces is ook het aantal vrouwelijke leidinggevenden gestegen. Medewerkers krijgen dus steeds vaker te maken met vrouwelijke leidinggevenden en dus met vrouwelijke persoonlijkheden. In dit onderzoek is gekeken naar de relaties tussen leiderschapsstijl, self efficacy en stereotypen en vooral naar de invloed die geslacht hierop kan hebben. Om antwoorden te vinden op de gestelde onderzoeksvragen is in twee organisaties een survey gehouden onder leidinggevenden en hun medewerkers. De resultaten toonden weinig verschillen tussen mannelijke en vrouwelijke leiders. Vrouwelijke leiders geven niet meer transformationeel leiding dan mannen en de self efficacy van mannelijke leiders is niet significant hoger dan die van vrouwelijke leiders. Ook werden er geen bewijzen gevonden voor invloeden van sekse stereotypen op de relatie tussen transformationeel leiderschap en self efficacy
Towards the design of a pilot induced oscillation detection and mitigation scheme
Year: 2013

Preliminary development of a real time pilot induced oscillations detection and mitigation system that consists of a detector, based on Short Time Fourier Transform and autoregressive model, and an adaptive mitigation system is presented. The system is not only capable of detecting Type I and II pilot induced oscillation characteristics but also focuses on the pilot's behavioural trend by calculating the rate of change of the open loop pilot vehicle system crossover frequency. The detection system employs a sliding Short Time Fourier Transform method to identify frequency and phase characteristics by monitoring pilot input and aircraft states. An autoregressive model with exogenous inputs was also applied to identify pilot characteristics and estimate the rate of change of the crossover frequency. After detection, a pilot induced oscillation cue is shown on the primary flight display and the adaptive controller is used to provide mitigation. The system was assessed through a series of desktop based piloted simulations where subjects conducted a number of tracking tasks. Results have shown that presenting the pilot with the state of the mitigation system via the visual PIO cue led to the opinion of reduced PIO tendencies. However, the lack of this information led to cases of over control and increased workload, which in turn resulted in higher PIO ratings. The main factor affecting the results was the inability to induce the levels of urgency in pilot control behaviour for the assessing the impact of including the rate of change of open loop PVS crossover frequency as a PIO feature. As a result only some of the test data showed its effectiveness. The real time calculation speed was constrained by the computer and the calculation algorithm.
A Survey on Drug Target Interaction Prediction Methods Analysis of Prediction Mechanisms for Drug Target Discovery
Year: 2018

In Modern drug discovery, identifying drug target interactions is having high significance in terms of suggesting new drug candidates and repositioning old drugs. Prediction of drug target interactions can be done by experimentally and it is very expensive and time consuming. Therefore, there is a continuous demand for effective and low cost computational techniques for drug target interaction prediction. Many algorithms have been formulated to infer novel drug target interactions. In this paper, we make a survey on the recent progress being made on computational methodologies that have been developed to predict drug targets based on different kinds of drug and protein data.
Learning Predictive Models From Observation and Interaction
Venue: ECCV
Year: 2020

Learning predictive models from interaction with the world allows an agent, such as a robot, to learn about how the world works, and then use this learned model to plan coordinated sequences of actions to bring about desired outcomes. However, learning a model that captures the dynamics of complex skills represents a major challenge: if the agent needs a good model to perform these skills, it might never be able to collect the experience on its own that is required to learn these delicate and complex behaviors. Instead, we can imagine augmenting the training set with observational data of other agents, such as humans. Such data is likely more plentiful, but represents a different embodiment. For example, videos of humans might show a robot how to use a tool, but (i) are not annotated with suitable robot actions, and (ii) contain a systematic distributional shift due to the embodiment differences between humans and robots. We address the first challenge by formulating the corresponding graphical model and treating the action as an observed variable for the interaction data and an unobserved variable for the observation data, and the second challenge by using a domain dependent prior. In addition to interaction data, our method is able to leverage videos of passive observations in a driving dataset and a dataset of robotic manipulation videos. A robotic planning agent equipped with our method can learn to use tools in a tabletop robotic manipulation setting by observing humans without ever seeing a robotic video of tool use.