nils-herrmann/clean_scirepeval huggingface dataset:
Maternal Borderline Personality Disorder and Risk of Child Maltreatment

A community based cross sectional study was conducted to explore the relationship between parental personality disorder and child maltreatment. This article reports on the findings of a study focusing on a subsample of 46 maltreating mothers who had all been referred for psychological assessment in the context of care proceedings. Of the 46 mothers, 13 met the full diagnostic criteria for borderline personality disorder (BPD) Of the remaining 33 mothers, 18 presented with strong features of BPD but did not meet the full criteria and 18 presented with no significant features of BPD. Results indicated that maltreating mothers with diagnosed BPD were more likely than those with BPD features and those with no significant features to have engaged in the perpetration of physical and multiple (physical abuse and neglect) types of child maltreatment. No association was found between BPD and child neglect alone. Compared to the two other groups, mothers with BPD were identified as a particularly traumatised subgroup. The tentative conclusion that may be drawn from these findings is that maltreating mothers with BPD may represent a particularly high risk subgroup. The results are discussed with reference to existing empirical research. Implications for clinical practice and future research are then considered.  Maltreating mothers with BPD may represent a particularly high risk subgroup.
HABITAT BEHAVIOR AND SPRING MIGRATION OF CERULEAN WARBLER IN BELIZE

t h e c e r u l e a n w a r b l e r (Den droica cerulea) is a species of special conservation concern because it has apparently suffered a long term pop ulation decline at numerous localities on the breeding grounds in the east ern United States (Robbins et al. 1992) Presumably this stems from habitat destruction at both ends of its extensive geographic range. The species appears to be especially sus ceptible to the ongoing fragmenta tion and isolation of large tracts of mature deciduous forest throughout its breeding range, but has no doubt also suffered as a result of widespread deforestation within its narrow eleva tional range (of ca. 600 1400 m) on the eastern slopes of the Andes from Venezuela to southern Peru (Robbins et al. 1992) and northern Bolivia (Remsen and Traylor 1989) The for mer authors provide an excellent summary of the habitat preferences, ecology, distribution, and probable causes for the decline in this species. Despite the fact that Cerulean War blers breed within a few miles of many of North America's largest cities, details of their nesting behav ior and food habits are sketchy at best. Similarly, knowledge of the be havior and ecological distribution of this species away from the breeding grounds is fragmentary and confined primarily to the recent observations of a handful of Neotropical ornithol ogists who work in remote parts of the Peruvian Andes (Robbins et al. 1992) Furthermore, almost nothing has been published on the migratory routes or behavior of Cerulean War blers during their spring and fall mi gration. In this and most other long distance Neotropical migrant land birds, the shape, geographic position, and orientation of migratory routes and potential staging areas have not been delimited. In this paper, I pro vide a summary of my own observa tions on the habitat, behavior, and status of this threatened species dur ing its spring migration through the Maya Mountains of southern Belize. I also discuss the conservation impli cations of these observations, and I suggest ways to obtain additional, much needed information on the distribution of this and other poorly known Neotropical migrants that use the highly threatened evergreen for ests of Middle America.
Use fast R CNN and cascade structure for face detection
Venue: 2016 Visual Communications and Image Processing (VCIP)

Face detection is challenging in real world due to various poses, occlusions, lighting conditions and so on. Recently, deep learning achieves excellent performance on this task. In this paper, we propose a novel deep cascade convolutional network that uses Fast Region based Convolutional Network (Fast R CNN)  at the end of the structure. Our method achieves outstanding performance on the FDDB  and AFW [2] datasets. Especially, it achieves a high recall of 91.87% on the challenging FDDB benchmark, outperforming the state of the art methods. We adopt a cascaded structure to quickly reject the background regions first. At the last stage, we choose Fast R CNN to deal with the challenging candidates and it performs well.
Constructing the global citizen: An ELF perspective

Building on research on identity (e.g. Norton, 2013) intercultural communicative competence (e.g. Byram, 2008) and English as a lingua franca (e.g. Dewey, 2012) this article examines how the notion of a global citizen was constructed in a school based ethnographic study involving students from Asia who were recipients of a Singapore government scholarship. Identity construction in this English medium school was traced across four levels national, school, classroom, and group interactions in order to analyze the ways in which global citizenship was realized. Findings from the multiple data sets revealed that while a skewed interpretation of the global citizen was conceived at the school and classroom level, group interactions among students yielded promising indicators of how intercultural communication as mediated through English as a lingua franca could help produce students who are open minded and work actively to build relationships with others. The article closes with a discussion of possibilities for designing pedagogy to develop global citizenship education.
The Global Citizen as an Agent of Change: Ideals of the Global Citizen in the Narratives of Polish NGO Employees.

One of the main goals of global education is to develop students as global citizens working for social change, equality and justice. However, the notion of the global citizen remains a subject of debate because of its various theoretical and ideological underpinnings, as well as diverse meanings associated with it. Non critical ways of understanding of the concept of the global citizen may result in global education perpetuating the status quo and reproducing inequalities. This paper investigates how employees of Polish nongovernmental organisations' conceptualise the notions of the global citizen and global citizenship. Qualitative analysis of 12 in depth interviews is carried out from the perspective of critical postcolonial global education (Andreotti) and includes the typology of global citizenship proposed by Oxley and Morris. This enables me to gain insight into the interviewees' ideals of the global citizen, to identify critical and non critical patterns of conceptualisation of the global citizen and to examine the value of global citizenship typology in the study of empirically grounded conceptions of global citizenship.
I Studied Abroad, therefore I am a Global Citizen? An Initial Study on Relationship between Global Citizenship and International Mobility Experiences

In the current era of globalization, higher education is expected not only to educate people to work locally in their home country, but also to foster "global citizens" who can play important roles internationally. In recent years, curriculum design and reform efforts at the higher education level in Taiwan have sought to encourage young people to move out of their comfort zones and connect with people from different cultural and social backgrounds to further expand their international perspectives and intercultural competencies. The main aim of the current research is to explore if students' international mobility experiences in this context, studying abroad would affect their attitudes toward elements of global citizenship and identification as global citizens. This research included an online survey to recruit 69 Taiwanese participants with study abroad experiences at the higher education level to understand their identification as global citizens, their attitudes toward elements of global citizenship, and their interpretations of how studying abroad might affect their perceptions of global citizenship. The results from the regression analysis indicate that participants with international mobility experiences tend to see themselves as global citizens and have stronger agreements toward elements of global citizenship.
Photosensitized rose Bengal induced phototoxicity on human melanoma cell line under natural sunlight exposure.
Venue: Journal of photochemistry and photobiology. B, Biology

Rose Bengal (RB) is an anionic water soluble xanthene dye, which used for many years to assess eye cornea and conjunctiva damage. RB showed strong absorption maxima (lmax) under visible light followed by UV B and UV A. RB under sunlight exposure showed a time dependent photodegradation. Our results show that photosensitized RB generates (1)O2 via Type II photodynamic pathway and induced DNA damage under sunlight/UV R exposure. 2'dGuO degradation, micronuclei formation, and single and double strand breakage were the outcome of photogenotoxicity caused by RB. Quenching studies with NaN3 advocate the involvement of (1)O2 in RB photogenotoxicity. RB induced linoleic acid photoperoxidation, which was parallel to (1)O2 mediated DNA damage. Oxidative stress in A375 cell line (human melanoma cell line) was detected through DCF DA assay. Photosensitized RB decreased maximum cellular viability under sunlight followed by UV B and UV A exposures. Apoptosis was detected as a pattern of cell death through the increased of caspase 3 activity, decreased mitochondrial membrane potential, and PS translocation through inner to outer plasma membrane. Increased cytosolic levels of Bax also advocate the apoptotic cell death. We propose a p53 mediated apoptosis via increased expression of Bax gene and protein. Thus, the exact mechanism behind RB phototoxicity was the involvement of (1)O2, which induced oxidative stress mediated DNA and membrane damage, finally apoptotic cell death under natural sunlight exposure. The study suggests that after the use of RB, sunlight exposure may avoid to prevent from its harmful effects.
The interaction of child parent shared reading with an augmented reality (AR) picture book and parents' conceptions of AR learning
Venue: Br. J. Educ. Technol.

Following a previous study (Cheng Tsai, 2014.  this study aimed to probe the interaction of child parent shared reading with the augmented reality AR) picture book in more depth. A series of sequential analyses were thus conducted to infer the behavioral transition diagrams and visualize the continuity and paths of different learning behaviors. This study also explored the parents' conceptions of AR learning so as to understand more precisely how the children and their parents behaved. The results show that the parents in the 'parent as dominator' group mostly considered AR learning as obstructing paper book reading and seemed to continually dominate the reading process to prevent the excessive use of mobile devices by their children. Compared with the parents in the other three groups, the parents in the 'low communicative child parent pair' group likely considered AR books as being a substitute for them reading to their children and did not frequently interact with them. The parents in the 'communicative child parent pair' and 'children as dominator' groups played a mediating role during the learning process and generally showed positive beliefs about AR learning, such as considering learning by AR as fostering motivation and attaining in depth understandings. A framework for implementing child parent shared AR book reading is proposed for pedagogical consideration.
Kindergartners' Spontaneous Focusing on Numerosity in Relation to Their Number Related Utterances During Numerical Picture Book Reading

This study investigated the relationship between kindergartners' Spontaneous Focusing on Numerosity (SFON) and their number related utterances during numerical picture book reading. Forty eight 4 to 5 year olds were individually interviewed via a SFON Imitation Task and a numerical picture book reading activity. We expected differences in the frequency of number related utterances during picture book reading between children with a higher SFON score, providing more number related utterances, and children with a lower SFON score. Our results showed large inter individual differences in both kindergartners' SFON and the frequency of their number related utterances during picture book reading, yet SFON was not related to the frequency of number related utterances. This unexpected result is discussed in terms of its scientific, methodological, and educational implications.
High Pressure Processing Equipment for the Food Industry

High pressure processing has been adopted by a number of food processors, and the demand for adequate equipment in size and throughput is continuously growing. This chapter provides information on the basic components of industrial scale high pressure equipment and how they work. This may help to select appropriate high pressure systems to match industrial needs in a cost effective manner where safety of the operations is paramount. This chapter includes write ups from the most relevant companies manufacturing pilot plant and industrial high pressure systems for processing foods. Major components of the systems are presented, specifications are summarized, and modes of operations are described. The contribution from manufacturers makes the presentation of a number of models very accurate and facilitates highlighting those that are the most promising. At the same time, the equipment manufacturers are key to recommend the selection of the right piece of equipment for a given application and the identification of pros and cons of each model.
Bayesian Personalized Ranking with Multi Channel User Feedback
Venue: RecSys

Pairwise learning to rank algorithms have been shown to allow recommender systems to leverage unary user feedback. We propose Multi feedback Bayesian Personalized Ranking (MF BPR) a pairwise method that exploits different types of feedback with an extended sampling method. The feedback types are drawn from different "channels" in which users interact with items (e.g. clicks, likes, listens, follows, and purchases) We build on the insight that different kinds of feedback, e.g. a click versus a like, reflect different levels of commitment or preference. Our approach differs from previous work in that it exploits multiple sources of feedback simultaneously during the training process. The novelty of MF BPR is an extended sampling method that equates feedback sources with "levels" that reflect the expected contribution of the signal. We demonstrate the effectiveness of our approach with a series of experiments carried out on three datasets containing multiple types of feedback. Our experimental results demonstrate that with a right sampling method, MF BPR outperforms BPR in terms of accuracy. We find that the advantage of MF BPR lies in its ability to leverage level information when sampling negative items.
Illumina MiSeq sequencing reveals the community composition of NirS Type and NirK Type denitrifiers in Zhoucun reservoir a large shallow eutrophic reservoir in northern China

Denitrification is a major biological process that reduces nitrate to nitrogen gas (N2 or N2O) In shallow eutrophic reservoirs, this process can remove the largest portion of fixed nitrogen and play an important role in the self purification of this ecosystem. To understand the structure of denitrifying communities in a shallow eutrophic reservoir, NirS Type and NirK Type denitrifier communities were explored using a MiSeq high throughput sequencing technique. NirK and NirS are two functional marker genes for denitrification that encode copper and cytochrome cd1 containing nitrite reductases, respectively, which catalyze the reduction of nitrite to nitric oxide. MiSeq sequencing revealed a total of 13 102 and 3490 OTUs with 97% similarity for NirS Type and NirK Type denitrifiers, which contained 4 and 5 phyla, and 22 and 21 genera for NirS Type and NirK Type denitrifiers, respectively. The ACE, Chao diversity, and Shannon richness estimates for NirS Type denitrifiers were higher than those for NirK Type denitrifiers. However, the Simpson richness exhibited the opposite trend. The denitrification community structure exhibited significantly seasonal variations during the whole experiment period based on the PCA, Hcluster analysis, OTUs distributions, community composition, and heat map analysis. Meanwhile, the RDA indicated that the total sediment nitrogen, aerobic denitrifiers, functional genes, denitrification rates, and temperature were critical environmental factors influencing the seasonal variation in the bacterial denitrification community.
Site Effects Model for Central and Eastern North America Based on Peak Frequency

We develop a regional site effects model for central and eastern North America based on an analysis of the residuals of observed ground motion parameters relative to two regional ground motion prediction equations: one model has a hard rock (site class A) reference site condition, whereas the other is referenced to a B/C boundary site condition (site classification of National Earthquake Hazard Reduction Program) In both cases, the residuals are well described by a site effects model based on site fundamental frequency f peak in which f peak is as determined from the horizontal to vertical component response spectral ratios. Accordingly, we derive an f peak based site amplification model with respect to B/C and hard rock reference site conditions. Implementing the f peak based model, we reduce random variability in amplitudes s by 10% on average, for a selected database from the Next Generation Attenuation East Project, relative to the value obtained when using a generic site effects model parameterized by near surface shear wave velocity (time averaged shear wave velocity in the upper 30 m, V S 30 The reduction in s comes from the site to site component of the variability (reduced by 20% on average) whereas the single station variability is unaffected.
Alternative Hybrid Empirical Ground Motion Model for Central and Eastern North America Using Hybrid Simulations and NGA West2 Models

An alternative hybrid empirical ground motion model for central and eastern North America (CENA) is proposed. The new ground motion model (GMM) is developed for the average horizontal components (RotD50) of peak ground acceleration, peak ground velocity, and 5% damped pseudospectral accelerations at 0.01 10 s spectral periods. Hybrid empirical estimates are derived using the regional modification factors between two regions (host and target) along with empirical GMMs from the host region. The regional adjustment factors are ratios of the intensity measures from the generated synthetics in the host (western North America [WNA] and target (CENA) regions. In this study, the recent updated empirical GMMs developed by the Pacific Earthquake Engineering Research Center for the Next Generation Attenuation West2 (NGA West2) project (Bozorgnia et al. 2014) are incorporated. We used a broadband simulation technique proposed by the authors (Shahjouei and Pezeshk, 2015a) to generate synthetics for both the WNA and CENA regions in which the high frequency and low frequency parts of synthetics are calculated through a stochastic finite fault method and kinematic source models along with the deterministic wave propagation, respectively. The updated seismological and geological parameters are deployed in simulations. The new ground motion model is developed, as part of the NGA East research project, considering multiple shaking scenarios that characterize the magnitude in the M 5.0 8.0 range. The proposed GMM represents the level of ground shaking in the distance range of 2 1000 km and are developed for the reference rock site condition with V S 30 =3 km/s in CENA. The results are compared with some other existing models in the region. In addition, a comprehensive residual analysis is performed using the recorded earthquakes available in the NGA East database.
FuseNet: Incorporating Depth into Semantic Segmentation via Fusion Based CNN Architecture
Venue: ACCV

In this paper we address the problem of semantic labeling of indoor scenes on RGB D data. With the availability of RGB D cameras, it is expected that additional depth measurement will improve the accuracy. Here we investigate a solution how to incorporate complementary depth information into a semantic segmentation framework by making use of convolutional neural networks (CNNs) Recently encoder decoder type fully convolutional CNN architectures have achieved a great success in the field of semantic segmentation. Motivated by this observation we propose an encoder decoder type network, where the encoder part is composed of two branches of networks that simultaneously extract features from RGB and depth images and fuse depth features into the RGB feature maps as the network goes deeper. Comprehensive experimental evaluations demonstrate that the proposed fusion based architecture achieves competitive results with the state of the art methods on the challenging SUN RGB D benchmark obtaining 76.27% global accuracy, 48.30% average class accuracy and 37.29% average intersection over union score.
Experiments in self determination: Histories of the outstation movement in Australia

Overview Outstations, which dramatically increased in numbers in the 1970s, are small, decentralised and relatively permanent communities of kin established by Aboriginal people on land that has social, cultural or economic significance to them. In 2015 they yet again came under attack, this time as an expensive lifestyle choice that can no longer be supported by state governments. Yet outstations are the original, and most striking, manifestation of remote area Aboriginal people's aspirations for self determination, and of the life projects by which they seek, and have sought, autonomy in deciding the meaning of their life independently of projects promoted by the state and market. They are not simply projects of isolation from outside influences, as they have sometimes been characterised, but attempts by people to take control of the course of their lives. In the sometimes acrimonious debates about outstations, the lived experiences, motivations and histories of existing communities are missing. For this reason, we invited a number of anthropological witnesses to the early period in which outstations gained a purchase in remote Australia to provide accounts of what these communities were like, and what their residents' aspirations and experiences were. Our hope is that these closer to the ground accounts provide insight into, and understanding of, what Indigenous aspirations were in the establishment and organisation of these communities.
Classification of Cardiac Arrhythmia Based on Hybrid System

This paper, describes an Intelligent Diagnosis System using Hybrid approach of Adaptive Neuro Fuzzy Inference System (ANFIS) model for classification of Electrocardiogram (ECG) signals, and comparison this Technique with Feed Forward Neural Network (FFNN) and Fuzzy Inference Systems (FIS) Feature extraction using Independent Component Analysis (ICA) and power spectrum, together with the RR interval then serve as input feature vector, this feature were used as input of FFNN, FIS, and ANFIS classifiers. six types of ECG signals they are Normal Sinus Rhythm (NSR) Premature Ventricular Contraction (PVC) Atrial Premature Contraction (APC) Ventricular Tachycardia(VT) Ventricular Fibrillation (VF) and Supraventricular Tachycardia (SVT) The results indicate a high level of efficient, the proposed method outperforms the other methods with an impressive accuracy of 97.1% As for other methods FFNN, FIS results were respectively 94.3% 95.7%