nils-herrmann/clean_scirepeval huggingface dataset:
Does the impact of child sexual abuse differ from maltreated but non sexually abused children? A prospective examination of the impact of child sexual abuse on internalizing and externalizing behavior problems.
Venue: Child abuse neglect

Child sexual abuse (CSA) continues to be a significant problem with significant short and long term consequences. However, extant literature is limited by the reliance on retrospective recall of adult samples, single time assessments, and lack of longitudinal data during the childhood and adolescent years. The purpose of this study was to compare internalizing and externalizing behavior problems of those with a history of sexual abuse to those with a history of maltreatment, but not sexual abuse. We examined whether gender moderated problems over time. Data were drawn from the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN) at ages 4, 6, 8, 10, 12, 14, and 16 (N=977) The Child Behavior Checklist was used to assess internalizing and externalizing problems. Maltreatment history and types were obtained from official Child Protective Services (CPS) records. Generalized Estimating Equations (GEE) were used to assess behavior problems over time by maltreatment group. Findings indicated significantly more problems in the CSA group than the maltreated group without CSA over time. Internalizing problems were higher for sexually abused boys compared to girls. For sexually abused girls internalizing problems, but not externalizing problems increased with age relative to boys. This pattern was similar among maltreated but not sexually abused youth. Further efforts are needed to examine the psychological effects of maltreatment, particularly CSA longitudinally as well as better understand possible gender differences in order to best guide treatment efforts.
Designed and delivered today, eroded tomorrow? towards an open and lean architecting framework balancing agility and sustainability
Venue: ECSA Workshops

Architecting for cost effectiveness, longevity and endurance has multiple, often conflicting dimensions. For instance, agile practices emphasize the need for speed in software design, development and delivery, but do not necessarily prioritize mid to long term qualities such as extensibility and knowledge preservation. Risk and cost driven architecture design methods, pragmatic modeling, and technical debt management can help practicing architects to focus their efforts, but have to be tailored to be effective (e.g. according to project context, organizational constraints, and cultural factors) Architectural styles such as service oriented architectures and its currently trending microservices incarnation promise to improve flexibility and maintainability through their principles and patterns, but still have to prove their cost benefit efficiency in the long run (e.g. over the multi decade lifetime of business information systems) This keynote presentation distills a set of open, lean and sustainable architecture practices and techniques from industrial experiences and existing work in the software architecture literature, and reports on the progress towards blending these practices and techniques into a comprehensive, yet comprehensible architecture framework. The featured assets include quality stories  C4 architecture modeling [2] decision sharing with Y statements  architecturally evident coding styles  architectural refactoring  (micro )services principles and patterns  and architecture roadmapping [6] Examples drawn from actual case studies in multiple business sectors and industries demonstrate the applicability of these practices and techniques. The presentation concludes with a discussion of the changes to the role of the software architect in the digital age [7] These ongoing changes drive the identification of research problems and challenges for the practical adoption and lasting impact of the practices and techniques in the framework (and other contributions to the body of knowledge on sustainable architectures)
The Next Generation of Platinum Drugs: Targeted Pt(II) Agents, Nanoparticle Delivery, and Pt(IV) Prodrugs.
Venue: Chemical reviews

The platinum drugs, cisplatin, carboplatin, and oxaliplatin, prevail in the treatment of cancer, but new platinum agents have been very slow to enter the clinic. Recently, however, there has been a surge of activity, based on a great deal of mechanistic information, aimed at developing nonclassical platinum complexes that operate via mechanisms of action distinct from those of the approved drugs. The use of nanodelivery devices has also grown, and many different strategies have been explored to incorporate platinum warheads into nanomedicine constructs. In this Review, we discuss these efforts to create the next generation of platinum anticancer drugs. The introduction provides the reader with a brief overview of the use, development, and mechanism of action of the approved platinum drugs to provide the context in which more recent research has flourished. We then describe approaches that explore nonclassical platinum(II) complexes with trans geometry or with a monofunctional coordination mode, polynuclear platinum(II) compounds, platinum(IV) prodrugs, dual threat agents, and photoactivatable platinum(IV) complexes. Nanoparticles designed to deliver platinum(IV) complexes will also be discussed, including carbon nanotubes, carbon nanoparticles, gold nanoparticles, quantum dots, upconversion nanoparticles, and polymeric micelles. Additional nanoformulations, including supramolecular self assembled structures, proteins, peptides, metal organic frameworks, and coordination polymers, will then be described. Finally, the significant clinical progress made by nanoparticle formulations of platinum(II) agents will be reviewed. We anticipate that such a synthesis of disparate research efforts will not only help to generate new drug development ideas and strategies, but also will reflect our optimism that the next generation of approved platinum cancer drugs is about to arrive.
Single Atom Pt as Co Catalyst for Enhanced Photocatalytic H2 Evolution.
Venue: Advanced materials

Isolated single atom platinum (Pt) embedded in the sub nanoporosity of 2D g C3 N4 as a new form of co catalyst is reported. The highly stable single atom co catalyst maximizes the atom efficiency and alters the surface trap states of g C3 N4 leading to significantly enhanced photocatalytic H2 evolution activity, 8.6 times higher than that of Pt nanoparticles and up to 50 times that for bare g C3 N4
Single Atom (Pd/Pt) Supported on Graphitic Carbon Nitride as an Efficient Photocatalyst for Visible Light Reduction of Carbon Dioxide.
Venue: Journal of the American Chemical Society

Reducing carbon dioxide to hydrocarbon fuel with solar energy is significant for high density solar energy storage and carbon balance. In this work, single atoms of palladium and platinum supported on graphitic carbon nitride (g C3N4) i.e. Pd/g C3N4 and Pt/g C3N4, respectively, acting as photocatalysts for CO2 reduction were investigated by density functional theory calculations for the first time. During CO2 reduction, the individual metal atoms function as the active sites, while g C3N4 provides the source of hydrogen (H* from the hydrogen evolution reaction. The complete, as designed photocatalysts exhibit excellent activity in CO2 reduction. HCOOH is the preferred product of CO2 reduction on the Pd/g C3N4 catalyst with a rate determining barrier of 0.66 eV, while the Pt/g C3N4 catalyst prefers to reduce CO2 to CH4 with a rate determining barrier of 1.16 eV. In addition, deposition of atom catalysts on g C3N4 significantly enhances the visible light absorption, rendering them ideal for visible light reduction of CO2. Our findings open a new avenue of CO2 reduction for renewable energy supply.
Renewable and sustainable energy reviews solar photovoltaic energy progress in India: A review

The mitigation of global energy demands and climate change are the most important factors in the modern days. Development and application of solar energy have been regarded by the government of India and common people, and they thought that solar photo voltaic energy can provide more energy in future compare to other renewable energies. In the last decade, solar photovoltaic energy research and development has supported by the central government and state governments. This paper discusses the progress of current solar photovoltaic energy in India. It highlights the renewable energy trend in India with major achievements, state wise analysis of solar parks and industrial applications. Finally, it discusses the Indian government policies and initiatives to promote solar energy in India. This review on solar photovoltaic energy will help decision makers and various stakeholders to understand the current status, barriers and challenges for better planning and management in this field.
Letter to the editor of renewable and sustainable energy reviews

Fig. 1. Entropy generation rate in a balanced counterflow heat exchanger with zero pressure drop irreversibility  Comments on "Second law thermodynamic study of heat exchangers: A review" Renewable and Sustainable Energy Reviews 2014; 40: 348 374, by X.T. Cheng, Q. Chen and X.G. Liang Cheng et al.  published deliberately an untruth, which must be corrected. They began their letter with this assertion:
Hybrid Indoor Based WLAN WSN Localization Scheme for Improving Accuracy Based on Artificial Neural Network
Venue: Mob. Inf. Syst.

In indoor environments, WiFi (RSS) based localization is sensitive to various indoor fading effects and noise during transmission, which are the main causes of localization errors that affect its accuracy. Keeping in view those fading effects, positioning systems based on a single technology are ineffective in performing accurate localization. For this reason, the trend is toward the use of hybrid positioning systems (combination of two or more wireless technologies) in indoor/outdoor localization scenarios for getting better position accuracy. This paper presents a hybrid technique to implement indoor localization that adopts fingerprinting approaches in both WiFi and Wireless Sensor Networks (WSNs) This model exploits machine learning, in particular Artificial Natural Network (ANN) techniques, for position calculation. The experimental results show that the proposed hybrid system improved the accuracy, reducing the average distance error to 1.05 m by using ANN. Applying Genetic Algorithm (GA) based optimization technique did not incur any further improvement to the accuracy. Compared to the performance of GA optimization, the nonoptimized ANN performed better in terms of accuracy, precision, stability, and computational time. The above results show that the proposed hybrid technique is promising for achieving better accuracy in real world positioning applications.
Foucault's dispositive: The perspicacity of dispositive analytics in organizational research

While Foucault's work has had a crucial impact on organizational research, the analytical potential of the dispositive has not been sufficiently developed. The purpose of this article is to reconstruct the notion of the dispositive as a key conception in Foucault's thought, particularly in his lectures at the College de France, and to develop dispositional analytics with specific reference to matters of organization. Foucault's dispositional analysis articulates a history of interrelated social technologies that have been constructed to organize how we relate to each other. The article distinguishes various dispositional prototypes. It shows how dispositional analytics leads the way beyond general periodizations and established dichotomies such as the either or of the discursive and non discursive, power and freedom, determinism, and agency; and it demonstrates how dispositional analytics can contribute to a more complex understanding of organizational dynamics, power, strategy, resistance, and critique. Dispositional analytics allows for a new interpretation and use of Foucault in relation to organization studies.
Foucault's Last Decade

On 26 August 1974, Michel Foucault completed work on Discipline and Punish, and on that very same day began writing the first volume of The History of Sexuality. A little under ten years later, on 25 June 1984, shortly after the second and third volumes were published, he was dead. This decade is one of the most fascinating of his career. It begins with the initiation of the sexuality project, and ends with its enforced and premature closure. Yet in 1974 he had something very different in mind for The History of Sexuality than the way things were left in 1984. Foucault originally planned a thematically organised series of six volumes, but wrote little of what he promised and published none of them. Instead over the course of the next decade he took his work in very different directions, studying, lecturing and writing about historical periods stretching back to antiquity. This book offers a detailed intellectual history of both the abandoned thematic project and the more properly historical version left incomplete at his death. It draws on all Foucault s writings in this period, his courses at the College de France and lectures elsewhere, as well as material archived in France and California to provide a comprehensive overview and synthetic account of Foucault s last decade.
Psychometric properties of the Chinese version of the Self Efficacy for Appropriate Medication Use Scale in patients with stroke
Venue: Patient preference and adherence

It has been reported that stroke has a higher incidence and mortality rate in the People's Republic of China compared to the global average. These conditions can be managed by proper medication use, but ensuring medication adherence is challenging.  To translate the Self Efficacy for Appropriate Medication Use Scale into Chinese and test its validity and reliability in patients with stroke.  Instrument performances were measured from January 15, 2015 to April 28, 2015 on a convenience sample of 400 patients with stroke recruited at four neurology departments of the First Affiliated Hospital of Zhengzhou University. Questionnaires included the Chinese versions of the Self Efficacy for Appropriate Medication Use Scale (C SEAMS) and the General Self Efficacy Scale (C GSE) Construct validity, convergent validity, internal consistency, and test retest reliability were measured.  Item analysis showed that item to total correlations were in the range of 0.362 0.672. Exploratory factor analysis revealed two factors (which accounted for 60.862% of total variance) with factor loading ranging from 0.534 to 0.756. Confirmatory factor analysis was performed to support the results, with an acceptable fit (kh2=73.716; df=64; P<0.01; goodness of fit index =0.902; adjusted goodness of fit index =0.897; comparative fit index =0.865; root mean square error of approximation =0.058) The convergent validity of the C SEAMS correlated well with the validated measure of the C GSE in measuring self efficacy (r=0.531, P<0.01) Good internal consistency (Cronbach's alpha ranged from 0.826 to 0.915) and test retest reliability (Pearson's correlation coefficient r=0.642, P<0.01) were found.  The C SEAMS is a brief and psychometrically sound measure for evaluating self efficacy for medication adherence in the Chinese population with stroke.
The Dynamic Componential Model of Creativity and Innovation in Organizations: Making Progress, Making Meaning

Leveraging insights gained through a burgeoning research literature over the past 28 years, this paper presents a significant revision of the model of creativity and innovation in organizations published in Research in Organizational Behavior in 1988. This update focuses primarily on the individual level psychological processes implicated in creativity that have been illuminated by recent research, and highlights organizational work environment influences on those processes. We revisit basic assumptions underlying the 1988 model, modify certain components and causal connections, and introduce four new constructs into the model: (1) a sense of progress in creative idea development; (2) the meaningfulness of the work to those carrying it out; (3) affect; and (4) synergistic extrinsic motivation. Throughout, we propose ways in which the components underlying individual and team creativity can both influence and be influenced by organizational factors crucial to innovation.
The Most Important Challenge Facing Augmented Reality
Venue: PRESENCE: Teleoperators and Virtual Environments

Editors' Note: To celebrate Presence's 25th year of publication, we have invited selected members of the journal's original editorial board and authors of several early articles to contribute essays looking back on the field of virtual reality, from its very earliest days to the current time. This essay comes from Ron Azuma who, starting from an article that defined augmented reality (AR) and stands as one of the most influential MIT Press articles of all time, highlights the opportunities presented by recent technological innovation and the greatest challenge facing AR today.
Challenges in Networking to Support Augmented Reality and Virtual Reality

We consider the network implications of virtual reality (VR) and augmented reality (AR) While there are intrinsic challenges for AR/VR applications to deliver on their promise, their impact on the underlying infrastructure will be undeniable. We look at augmented and virtual reality and consider a few use cases where they could be deployed. These use cases define a set of requirements for the underlying network. We take a brief look at potential network architectures. We then make the case for Information centric networks as a potential architecture to assist the deployment of AR/VR and draw a list of challenges and future research directions for next generation networks to better support AR/VR.
Impacts of Climite Changes in Animal Genetic Diversity

Ecological changes taking place around the world will influence in living things and their environment in many ways. One of the most important factors is climate changes, threating not only to the existence of species, plants or animals but also to their genetic diversity. Genetic diversity is the variation in genomes of living things that is inheritable from generation to generation. Furthermore, it is a raw material for us to observe how species to adapt to their new environmental conditions against climatic fluctuations. A wide genetic variation in animal species is quite substantial for agriculture. Especially in livestock animal productions, populations that are composed of a wide variation refer to animals with inherent resistance to certain diseases or harsh environmental conditions in spite of yielding less economically important traits. Climate changes have certain effects in genetic diversity based on population size, gene flows and distributions among different geographical areas, and selection in terms of pressure, therefore should be under investigation how a species can be protected in the original habitat in order for mankind to maintain genetic variation.
Vicarious liability: Is it an issue for your organization?
Venue: Journal of healthcare risk management the journal of the American Society for Healthcare Risk Management

Vicarious liability is a very real concern for hospitals and other health care entities. There are two forms of vicarious liability: respondeat superior (liability for an employee's actions) and agency (liability for nonemployees who appear to be the agent of the entity) Since an entity works through its employees, there is little that can be done, in most cases, to avoid respondeat superior liability. Entities need to be aware of the ways in which nonemployees can be perceived to be the entity's agent so that the appearance of agency can be prevented. There are methods to avoid vicarious liability and to deal with it should it occur.
Survey on Pre Processing Techniques for Text Mining

Mining is a versatile sublet in the field of computer science. It is the computational evolution mode of detecting patterns in large data sets. This paper give an indication on the different pre processing techniques to mine text data. Text mining applications include Information Retrieval, Information Extraction, Categorization, and Natural Language Processing. The pre processing of text mining starts with Tokenization, followed by Stop word removal and finally stemming. This paper evaluates Porter's and Krovetz algorithm, highlighting their applications and drawbacks.
Metal Free Carbon Based Materials: Promising Electrocatalysts for Oxygen Reduction Reaction in Microbial Fuel Cells
Venue: International journal of molecular sciences

Microbial fuel cells (MFCs) are a promising green approach for wastewater treatment with the simultaneous advantage of energy production. Among the various limiting factors, the cathodic limitation, with respect to performance and cost, is one of the main obstacles to the practical applications of MFCs. Despite the high performance of platinum and other metal based cathodes, their practical use is limited by their high cost, low stability, and environmental toxicity. Oxygen is the most favorable electron acceptor in the case of MFCs, which reduces to water through a complicated oxygen reduction reaction (ORR) Carbon based ORR catalysts possessing high surface area and good electrical conductivity improve the ORR kinetics by lowering the cathodic overpotential. Recently, a range of carbon based materials have attracted attention for their exceptional ORR catalytic activity and high stability. Doping the carbon texture with a heteroatom improved their ORR activity remarkably through the favorable adsorption of oxygen and weaker molecular bonding. This review provides better insight into ORR catalysis for MFCs and the properties, performance, and applicability of various metal free carbon based electrocatalysts in MFCs to find the most appropriate cathodic catalyst for the practical applications. The approaches for improvement, key challenges, and future opportunities in this field are also explored.
Sampling based collision avoidance for UAVs
Venue: 2016 American Control Conference (ACC)

We present the design and implementation of a path planning algorithm for Unmanned Aerial Vehicles (UAVs) to avoid collisions with other aircraft. The aircraft are indifferent to the UAV. A sampling based method is developed to generate the avoidance path. The UAV's closed loop system is used to simulate the trajectory in collision check used in path planning. The generated path is then checked against updated states of the UAV and obstacle aircraft, and a new path will be planned if the original one leads to a collision. The algorithm is validated in Hardware In the Loop simulation (HIL) and real flight experiments. The paper shows that the algorithm is able to generate paths for the UAV to avoid obstacles of different numbers, approaching angles, and speeds.