Miracle-dz/UniFAR-FTUs huggingface dataset:
Linguistic analysis of the valence, arousal and dominance of auditory hallucinations and internal thoughts in schizophrenia: Implications for psychoeducation and CBT

Abstract 70% of patients with schizophrenia suffer from auditory verbal hallucinations (AVH) which are frequently described as distressing and disabling. The content of AVH, in relation to internal thought, has never been linguistically tested in a self-monitoring study. The aim of this preliminary study was to establish if there was a significant difference between AVH and inner thoughts on the key linguistic parameters of valence (pleasantness), dominance (control) and arousal (intensity of emotion produced). Six volunteers with a diagnosis of schizophrenia from voice hearing support groups produced real-time, detailed diaries of AVH and inner thoughts using randomised/fixed timers. Analysis of content was completed using an established linguistic database. AVH were significantly more unpleasant and controlling but not more emotionally arousing than inner thoughts. Psychoeducation around the experience of hallucination in schizophrenia should include information that the voices will be significantly more unpleasant and controlling than their own thoughts but not more emotionally arousing. CBT might therefore include the use of compassion focussed techniques to help with the unpleasantness of AVH and schema level techniques to improve coping with the dominance of AVH.
Interplay of Strategic Orientations, Innovativeness, and Industrial Sectors in Enhancing Innovation Performance

This study addresses two specific research questions: Does combining different types of strategic orientation enhance or impede innovation performance? How are these combinative effects influenced by service innovativeness and industrial sectors (operational or professional services)? A fuzzy-set qualitative comparative analysis was employed to analyze data collected from 164-paired B2B service firms. The statistical results suggest that not all combinations of strategic orientation contribute to innovation performance. The development of strategic orientation needs to be aligned with innovativeness and service offerings. Overall, the findings provide important implications for managing strategic orientation and service innovation activities.
Village guards as “in between” in the Turkish-Kurdish conflict: Re-examining identity and position in intergroup conflict

The current paper utilizes new approaches in intergroup conflict studies to examine the village guard system and its role in the Turkish-Kurdish conflict in Turkey. Recent work suggests that a two-group paradigm in researching intergroup conflict leaves out important contextual factors that influence trajectories and outcomes of conflict. The current paper is based on a project examining the views of 63 active and retired village guards in five provinces in eastern Turkey. Participants were asked how they became village guards, their experiences while holding the position and after they’ve retired, their relationship with neighbors and neighboring villages, as well as their views on the peace process and whether they believe a lasting peace is possible. Results indicate that village guards became guards either because their tribe took arms as a whole, they felt economically there were few other options, or were pressured by the state. Participants also reported feeling otherized by both non-village guard neighbors as well as state actors, and were generally positive about a peaceful outcome to the conflict but were concerned about the sincerity of the government.
University of Southern Denmark Convergence of lateral dynamic measurements in the plasma membrane of live cells from single particle tracking and STED-FCS Lagerholm,

Fluorescence correlation spectroscopy (FCS) in combination with the super-resolution imaging method STED (STED-FCS), and single-particle tracking (SPT) are able to directly probe the lateral dynamics of lipids and proteins in the plasma membrane of live cells at spatial scales much below the diffraction limit of conventional microscopy. However, a major disparity in interpretation of data from SPT and STED-FCS remains, namely the proposed existence of a very fast (unhindered) lateral diffusion coefficient, ⩾5 μm2 s−1, in the plasma membrane of live cells at very short length scales, ≈⩽ 100 nm, and time scales, ≈1–10 ms. This fast diffusion coefficient has been advocated in several high-speed SPT studies, for lipids and membrane proteins alike, but the equivalent has not been detected in STED-FCS measurements. Resolving this ambiguity is important because the assessment of membrane dynamics currently relies heavily on SPT for the determination of heterogeneous diffusion. A possible systematic error in this approach would thus have vast implications in this field. To address this, we have re-visited the analysis procedure for SPT data with an emphasis on the measurement errors and the effect that these errors have on the measurement outputs. We subsequently demonstrate that STED-FCS and SPT data, following careful consideration of the experimental errors of the SPT data, converge to a common interpretation which for the case of a diffusing phospholipid analogue in the plasma membrane of live mouse embryo fibroblasts results in an unhindered, intra-compartment, diffusion coefficient of ≈0.7–1.0 μm2 s−1, and a compartment size of about 100–150 nm. Convergence of lateral dynamic measurements in the plasma membrane of live cells from single particle tracking and STED-FCS Topical Review IOP Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. 5 Author to whom any correspondence should be addressed. 2017
MOOC-Gaze: Online Solution for Tracking Learners’ Gazing Dynamics of MOOC Videos

Video-based lecturing has become the major teaching-and-learning activity of Massive Open Online Courses (MOOC). While students can learn any time at their own pace, course providers cannot have face-to-face communication with students to receive instantaneous feedback. Conventional ways like web forums allow learners to submit feedback after class, but this demands their additional effort to reflect on the lecturing process. Therefore, new techniques to evaluate learners’ in-class behaviour are needed. Gaze tracking is a technique which keeps track of the gaze position of a user. As a standard computer comes with a web camera, it is practical to perform non-intrusive gaze tracking of MOOC learners directly from user’s image. In this project, we created MOOC-Gaze, the software application to predict users' gaze positions of a MOOC video by analysing user’s facial and eye dynamics via web cameras. The prediction model is essentially a ridge-regression trained mapping function which takes users’ facial picture as input and outputs predicted gaze position as screen coordinates. The prediction model is built on-the-fly and user-specific, which requires one short calibration procedure before user starts watching the video. The predicted gaze positions can be visualized in heat-map form in a video replay for educators to observe learners’ individual and aggregated gaze patterns. This post-watch analysis can help in course evaluation, e.g. to find out whether gazing positions matching the expectation of the designer of the course video. MOOC-Gaze was designed to work with any kinds of video and to operate in a normal web browser. To improve the prediction accuracy, a literature survey of gaze tracking techniques was conducted and some solutions were proposed and tested. Our web framework together with the improved gaze prediction method delivers a new online gaze-tracking solution that can also be used in use cases other than MOOC. MOOC-Gaze: Online Solution for Tracking Learners’ Gazing Dynamics of MOOC Videos 5 of 46 25 May 2017 TABLE OF CONTENTS CHAPTER
Self-Efficacy as a Mediator in the Relationship between Servant Leadership and Teaching Effectiveness

The concept of servant leadership is of real significance for higher educational institutes due to its principle of maintaining trust based association with followers. Moreover, researcher’s interest in servant leadership has largely increased in academia, due to high competition and demand for more quality of teaching concern at university campuses. This paper established a conceptual framework which discusses how self-efficacy plays a significant role in connecting servant leadership with teaching effectiveness. Many studies have been conducted to examine the relationship between servant leadership and teaching effectiveness but very limited studies have been observed to examine self-efficacy mediating effect on servant leadership and teaching effectiveness. Majority of studies conducted on self-efficacy relationship with teaching effectiveness, but the concept is very much ignored in the Pakistani context. By achieving aim of the research, the author’s attempted to increase the body of knowledge on given phenomena. The study has been supported two popular theories, such Social Cognitive theory and Organizational Leadership Assessment.
An Introduction to the Cognitive Refraction Model for Instructional Design

The cognitive refraction model is a classification system for learning objectives that helps you understand the cognitive requirements necessary to achieve your learning goals. Learning objectives are grouped into conceptual bins based upon the work required to meet them, as estimated based on: the number of elements involved in the process, the choices that are to be made, and the concreteness of the information being presented. In the following presentation, I will address classifying learning objectives in the cognitive refraction model and using the classifications to guide instructional tool and techniques choices.
Immediate physiological and behavioural response from catch-and-release of wild white sturgeon (Acipenser transmontanus Richardson, 1836)

White sturgeon (Acipenser transmontanus) are anadromous and the largest fish occurring in fresh-water habitats in North America. The largest population is found in the lower Fraser River (LFR), British Columbia, Canada where anglers target the species in a catch-and-release (C&R) recreational fishery. Yet, little is known about the consequences of C&R on these wild fish. Sixty-three angled sturgeon had blood samples taken to assess the physiological stress response relative to fight times. Seven sturgeon were also fitted with acoustic transmitters equipped with accelerometer sensors to assess immediate post-release locomotor behaviour. To understand the relationship between accelerometry and fish behaviour, we calibrated the tags in a lab before deploying them in the field. A physiological stress response was apparent (i.e., increased whole-blood lactate and reduced plasma potassium) and was influenced by fight time. Post-release activity profiles showed a general decrease in activity over time. Post-release displacement was 2–75m from the release site and all 7 sturgeon were relocated closer to shore. The possible preference we identified for nearshore areas after release should be examined in greater detail in the future as this may lend insight into optimal release locations for white sturgeon. Although C&R mortality rates are low for this species, there is some evidence of transient sub-lethal effects emphasizing the need to refine C&R practices to further improve fish welfare.
Vertical profiles of wind gust statistics from a regional reanalysis using multivariate extreme value theory

Abstract. Many applications require wind gust estimates at very different atmospheric height levels. For example, the renewable energy sector is interested in wind and gust predictions at the hub height of a wind power plant. However, numerical weather prediction models typically only derive estimates for wind gusts at the standard measurement height of 10 m above the land surface. Here, we present a statistical post-processing method to derive a conditional distribution for hourly peak wind speed as a function of height. The conditioning variables are taken from the COSMO-REA6 regional reanalysis. The post-processing method was trained using peak wind speed observations at five vertical levels between 10 and 250 m from the Hamburg Weather Mast. The statistical post-processing method is based on a censored generalized extreme value (cGEV) distribution with non-homogeneous parameters. We use a least absolute shrinkage and selection operator to select the most informative variables. Vertical variations of the cGEV parameters are approximated using Legendre polynomials, such that predictions may be derived at any desired vertical height. Further, the Pickands dependence function is used to assess dependencies between gusts at different heights. The most important predictors are the 10 m gust diagnostic, the barotropic and the baroclinic mode of absolute horizontal wind speed, the mean absolute horizontal wind at 700 hPa, the surface pressure tendency, and the lifted index. Proper scores show improvements of up to 60 % with respect to climatology, especially at higher vertical levels. The post-processing model with a Legendre approximation is able to provide reliable predictions of gusts' statistics at non-observed intermediate levels. The strength of dependency between gusts at different levels is non-homogeneous and strongly modulated by the vertical stability of the atmosphere.
Occurrence and oviposition preference of the green lacewing Apertochrysa sp. (Neuroptera: Chrysopidae) on citrus and corn plants

Field experiments to determine ovipositional preferences of Apertochrysa sp. were carried out in Malaysian agro ecosystem with citrus and corn plants. Although that (76%) of eggs were noticed within 1-2 m, the results showed no significant differences in ovipositional preference between the heights of citrus trees. While in corn plants 100% of eggs were observed on height 1-2 m above the ground, with highly significant differences compared with others heights. The east direction was the preferred orientation for females of Apertochrysa sp. to lay their eggs in citrus trees recorded (79.8%) and 66.7% in test 1 and 2 respectively. While no differences between east and west direction for females to lay their eggs in corn plants. The lower leaf surface appeared the preference place for oviposition in citrus recorded (93.7%) and corn plants (100%). The highest percentage (59.2%) from all eggs collected were recorded on corn plants aged 60 days and significantly differed with others ages.
Impact of video annotation on undergraduate nursing students’ communication performance and commenting behaviour during an online peer-assessment activity

This article reports on the implementation of a web-based video-annotation system that supports online peer-assessment activities in a nursing communication training scenario. A quasi-experimental design was applied to investigate the effects of using video annotation on communication skills and professional attitudes. The participants were fourth-year students from two classes at a nursing college in Taiwan. One class of 50 students served as the experimental group, who used the video-annotation tool we designed to add their comments to videos. The other class of 50 students served as the control group and used YouTube to add comments. Although YouTube also provides video-annotation features, these are not often used. Two rounds of peer-assessment activities indicated that the videoannotation tool notably enhanced nursing students’ communication performance. Specifically, the tool was helpful in promoting students’ development of communication skills, but not their professional attitudes. The students using the video-annotation tool provided more suggestions in their peer comments than those who did not use it. Moreover, video annotation resulted in closer agreement between peer and expert ratings of students’ communication. The use of a video-annotation feature could improve the effectiveness of online peer assessment and thus promote student performance.
Biolistics transformation of callus and cell suspension cultures of Capsicum annuum L. ‘Serrano’ is useful for in vitro studies of the relative contents of secondary metabolites

Capsicum annuum is a crop species of economic importance able to produce capsaicinoids, capsinoids, and pigments with nutritional and medicinal value. Methods to propagate and transform this species have been reported, but most are phenotype dependent, rely on Agrobacterium for transformation, and their success has been limited. This relates to only one commercial transgenic variety currently on trial. In the present work, we report the conditions to produce callus and cell suspension cultures of C. annuum ‘Serrano’ using commercial seeds. The culture could be induced to produce capsaicin and dihydrocapsaicin in detectable quantities and was amenable to transformation using biolistics. The expression of the Arabidopsis thaliana soluble inorganic pyrophosphatase 4 fused to a fluorescent protein was demonstrated using confocal microscopy. Evidence of the integrity of the fusion was obtained by immunoblot. The transformation induced a change in the ratio of capsaicin to dihydrocapsaicin measured using high resolution direct sample analysis-mass spectrometry (DSA-MS). The method is thus useful for the study of capsaicinoid production under controlled conditions for special purposes and metabolic studies.
The role of cardiac output in the control of blood pressure

Vascular hypertrophy occurs in both primary and secondary hypertension. The degree of hypertrophy is related to the level of blood pressure and its presence can be detected in borderline hypertensives. Hypertrophy causes an increase in resistance to blood flow which is most apparent during exercise. Its presence exaggerates the responses to vasoconstrictor and dilator stimuli and this makes it impossible to estimate vasomotor tone in man. The baroreflex controls variations in blood pressure and, to some extent, the blood pressure level by modifying cardiac output.
Data Anonymization Using Imbalanced Data for Deep Learning with Uppersampling and Undersampling

Most real data are imbalanced and thus present difficulties as a subject of classification problems. Some research has been conducted on the topic of imbalanced data. However, managing such data in deep learning has not been considered. In this study, we propose privacy-protection data mining using imbalanced data through deep learning. We discuss existing privacy-protection data mining, study its features, and examine a deep learning based anonymizing tool. Experiments using various anonymization tools confirm that deep learning does not reduce data accuracy by making that data anonymous. Under and uppersampling are both used for imbalanced data, but the tendencies of these approaches to reduce data accuracy because of anonymization have not been confirmed.
IMMUNOCHEMICAL IDENTIFICATION OF AN EPITHELIAL MEMBRANE ANTIGEN IN PATIENTS WITH BLADDER CANCER

An epithelial membrane antigen (EMA) has been analyzed with Western blot at 130-kDa. ELISA was used for screening and diagnosis of EMA in urine samples of bladder cancer patients. EMA was detected in 43 out of 51 bladder cancer patients with detection rate 84%, while it was detected in 22 out of 28 suspicious patients with detection rate 78.5%. In addition, EMA was detected in 21 out of 51 bladder cancer-free patients with detection rate 41%. Moreover EMA was detected in 1 out of 32 urine samples from healthy individuals with detection rate 3.1%. The performance characteristics of ELISA as a rapid diagnostic assay of bladder carcinoma based on EMA detection in urine samples revealed that the sensitivity was 84%, while the specificity was 96.9% among normal individuals. There was an extremely significant (P 0.0001) higher than its level in bladder cancer-free patients. EMA levels were progressively increased with grades and stages of bladder cancer. It is concluded that, EMA detected at 130 kDa using Western blot and assayed using ELISA for screening and diagnosis of bladder cancer can be used with high sensitivity compared to cystoscopy and high specificity among healthy individuals. Also quantitative estimation of EMA level in the urine of bladder cancer patients can differentiate them from other bladder affections. Therefore, it is concluded that urine EMA assay may serve as a marker for bladder cancer assessment.
GRAZING HEIGHT OF XARAÉS GRASS IMPROVE LONGISSIMUS MUSCLE FATTY ACIDS PROFILE OF NELLORE CATTLE ALTURA DE PASTAGEM DE CAPIM XARAÉS MELHORA O PERFIL DE ÁCIDOS

aCollege of Veterinary Medicine and Animal Sciences, São Paulo State University, Botucatu/SP – Brazil bState University of Maringá, Maringá/PR – Brazil. c Faculdade Pitágoras, Divinópolis/MG – Brazil. d Centro Universitário Ingá, Maringá/PR – Brazil. eProgram of Master in Science, Technology and Food Safety, Cesumar Institute of Science Technology and Innovation ICETI. University Center of Maringá, UNICESUMAR, Maringá/PR – Brazil f State University of Londrina, Londrina/PR – Brazil.
Individual differences in texture preferences among European children: Development and validation of the Child Food Texture Preference Questionnaire (CFTPQ)

Texture has an important role in children’s acceptance and rejection of food. However, little is known about individual differences in texture preference. The aim of this study was to develop and validate a child-friendly tool to explore individual differences in texture preferences in school-aged children from six European countries (Austria, Finland, Italy, Spain, Sweden and United Kingdom). Six hundred and ten children aged 9–12 years and their parents participated in a cross-sectional study. Children completed the Child Food Texture Preference Questionnaire (CFTPQ) and a Food Neophobia Scale (FNS). The CFTPQ consisted in asking children to choose the preferred item within 17 pairs of pictures of food varying in texture (hard vs. soft or smooth vs. lumpy). Children also evaluated all food items for familiarity. Parents completed the CFTPQ regarding their preferred items, a food frequency questionnaire for their child, and provided background information. For a subset of children, a re-test was done for the CFTPQ and FNS to assess reliability. The results showed that the tool was child-friendly, had high test-retest reliability, and identified country-related differences as well as segments of children with different texture preferences (hardvs. soft-likers). These segments differed in consumption frequency of healthy foods, and in food neophobia.
On Word Embedding Models and Parameters Optimized for Korean

단어 임베딩(word embedding)은 자연어로 이루어진 단 어를 고정된 차원의 실수 벡터로 변환시키는 과정으로 분산 표현(distributed representation) 이라고도 한다. 이러한 벡터 표현은 다양한 응용의 자연언어처리 기반으 로 활용된다[1-4]. 이를 활용하는 응용으로는 기계 번역 [5-7], 문서 요약[8], 개체명 인식[9] 등이 있다. 한국어의 경우 교착어에 속하는 특성으로 인해 영어의 단어 임베딩을 형성하는 과정처럼 공백으로 구분된 어절 을 그대로 입력으로 사용하는 것은 적합하지 않다. 다양 한 조사, 어미로 인해[10] 다른 어절이 동일한 형태소를 포함하는 경우가 많으므로, 이를 고려한 단어 임베딩을 생성해야 한다. [11]의 경우, 형태소를 분리하지 않고 어절을 기본 단위로 단어 임베딩 생성하는 방법을 제안 하고 있다. 하지만 이 경우 어근자체에 대한 단어 임베 딩의 결과는 구할 수 없는 단점이 있다. 따라서 본 논문 에서는 형태소를 기본 단위로 하는 한국어 단어 임베딩 을 효과적으로 생성하는 방법을 제안한다. 단어 임베딩을 생성 할 때에는 일반적으로, 1)학습 말 뭉치 구성 2)말뭉치의 형태소 분석 3)주요 파라미터 설 정(벡터 차원 수, 주변 단어 수 윈도우 크기) 4)모델을 통한 학습 과 같은 단계로 이루어진다. 각각의 단계의 처리 방법이나 파라미터의 값에 따라 실제적인 단어 임 베딩의 정확도가 차이가 생기기 때문에, 절적한 수치나 방법을 선택하는 것이 중요하다. 본 논문에서는 현대적인 언어생활을 반영하기 위해 인 터넷에 공개된 말뭉치를 활용해 기존 세종 말뭉치보다 약 10배 정도 큰 규모의 말뭉치를 생성해 학습에 이용하 였다. 이 말뭉치를 기반으로 GloVe[12], Word2Vec[4] 에 서 제안하고 있는 학습 모델을 사용하였으며, 이때 형태 소 분석, 파라미터 설정 등이 정확도에 어떤 영향을 주 는지 분석하였다. 본 논문의 구성은 2장에서 학습 모델에 관련한 연구들 과 이를 형태소 단위로 적용하는 방법을 서술하고, 3장 에서는 실제적인 말뭉치 구성과 파라미터 설정이 단어 임베딩의 성능에 어떻게 영향을 주는지 실험을 통해 보 인다. 4장에서는 결론과 더불어 향후 연구에 대해 논의 한다.