nils-herrmann/clean_scirepeval huggingface dataset:
A Guaranteed Performance of a Green Data Center Based on the Contribution of Vital Nodes
Venue: 2016 IEEE Globecom Workshops (GC Wkshps)

In order to satisfy the need for the critical computing resources, many data center architectures proposed to house a huge number of network devices. These devices are used to achieve the highest performance in case of full utilization of the network. However, the peak capacity of the network is rarely reached. Consequently, many devices are set into idle state and cause a huge energy waste leading to a non proportionality between the network load and the energy consumed. In this paper, we propose a power aware routing algorithm that saves energy consumption with a negligible trade off on the performance of the network. The idea is to keep active only the source and destination devices and the vital nodes participating in the communication. Vital nodes in the network are calculated only once and can be used with a constant time complexity. Besides its short computation time, our routing algorithm guarantees also a high performance and shows over 50% of energy saving.
Putting patient participation into practice in pediatrics results from a qualitative study in pediatric oncology
Venue: European Journal of Pediatrics

AbstractAdequate participation of children and adolescents in their healthcare is a value underlined by several professional associations. However, little guidance exists as to how this principle can be successfully translated into practice. A total of 52 semi structured interviews were carried out with 19 parents, 17 children, and 16 pediatric oncologists. Questions pertained to participants' experiences with patient participation in communication and decision making. Applied thematic analysis was used to identify themes with regard to participation. Three main themes were identified: (a) modes of participation that captured the different ways in which children and adolescents were involved in their healthcare; (b) regulating participation, that is, regulatory mechanisms that allowed children, parents, and oncologists to adapt patient involvement in communication and decision making; and (c) other factors that influenced patient participation. This last theme included aspects that had an overall impact on how children participated. Patient participation in pediatrics is a complex issue and physicians face considerable challenges in facilitating adequate involvement of children and adolescents in this setting. Nonetheless, they occupy a central role in creating room for choice and guiding parents in involving their child.  Adequate training of professionals to successfully translate the principle of patient participation into practice is required.What is Known:*Adequate participation of pediatric patients in communication and decision making is recommended by professional guidelines but little guidance exists as to how to translate it into practice.What is New:*The strategies used by physicians, parents, and patients to achieve participation are complex and serve to both enable and restrict children's and adolescents' involvement.
"Merging Yoga and Occupational Therapy (MY OT) A feasibility and pilot study"
Venue: Complementary therapies in medicine

To examine the feasibility and benefits of the Merging Yoga and Occupational Therapy (MY OT) intervention.  This is the primary analysis of a non controlled pretest posttest pilot study to understand the feasibility and impact of MY OT on balance, balance self efficacy, and fall risk factor management in people with chronic stroke.  University research laboratory.  People with chronic stroke were included in the study if they: had sustained a fall or had fear of falling, were able to stand, and hand impaired balance and were at risk for falls =46 on the Berg Balance Scale (BBS) INTERVENTIONS Individuals completed an 8 week intervention that included 16 sessions of both yoga and group occupational therapy (OT) Yoga included physical postures, breathing exercises, and meditation. OT focused on post stroke fall risk factor management.  The BBS was used to assess balance, the Activities specific Balance Confidence Scale (ABC) was used to measure balance self efficacy. Five fall risk factor management scales were used.  Overall, the intervention was considered feasible, as individuals were able to safely complete the intervention with little attrition and high attendance. Balance improved by 30% (p=0.002) Balance self efficacy improved by 15% (p=0.034) Each of the five fall risk factor management scales improved, but only two significantly improved (Fall Prevention and Management Questionnaire, 29% p=0.004 and Fall Prevention Strategy Survey, 42% p=0.032)  The results demonstrate that MY OT is a potential intervention to improve multiple fall related outcomes for people with stroke. Therapists may consider these interventions for people with stroke, but additional research is warranted.
Adult Attention Deficit Hyperactivity Disorder Symptoms, Perceived Stress, and Well Being: The Role of Early Maladaptive Schemata
Venue: The Journal of nervous and mental disease

Attention deficit hyperactivity disorder (ADHD) is one of the most prevalent chronic neuropsychiatric disorders, severely affecting the emotional well being of children as well as of adults. It has been suggested that individuals who experience symptoms of ADHD develop maladaptive schemata of failure, impaired self discipline, social isolation, and shame. These schemata may then contribute to impaired emotional well being by increasing unhelpful responses to stressful life events. However, to date, no empirical research has tested this theoretical proposition. In a sample of 204 nonclinical adults, we conducted a serial multiple mediator analysis, which supported the proposed model. More severe ADHD symptoms were associated with higher levels of perceived stress both directly and indirectly through stronger maladaptive schemata, which, in turn, were related to lower levels of emotional well being. Results suggest that identifying and modifying maladaptive schemata may be an important addition to psychotherapy for adult ADHD patients.
Elicitation of Strategies in Four Variants of a Round Robin Tournament: The Case of Goofspiel
Venue: IEEE Transactions on Computational Intelligence and AI in Games

Goofspiel is a simple two person zero sum game for which there exist no known equilibrium strategies. To gain insight into what constitute winning strategies, we conducted a round robin tournament in which participants were asked to provide computerized programs for playing the game with or without carryover. Each of these two variants was to be played under two quite different objective functions, namely, maximization of the cumulative number of points won across all opponents (as in Axelrod's tournament) and maximization of the probability of winning any given round. Our results show that there are, indeed, inherent differences in the results with respect to the complexity of the game and its objective function, and that winning strategies exhibit a level of sophistication, depth, and balance that are not captured by present models of adaptive learning.
Connecting Social Media to E Commerce: Cold Start Product Recommendation Using Microblogging Information
Venue: IEEE Transactions on Knowledge and Data Engineering

In recent years, the boundaries between e commerce and social networking have become increasingly blurred.  In this paper, we propose a novel solution for cross site cold start product recommendation, which aims to recommend products from e commerce Web sites to users at social networking sites in "cold start" situations, a problem which has rarely been explored before. A major challenge is how to leverage knowledge extracted from social networking sites for cross site cold start product recommendation. We propose to use the linked users across social networking sites and e commerce Web sites (users who have social networking accounts and have made purchases on e commerce Web sites) as a bridge to map users' social networking features to another feature representation for product recommendation. In specific, we propose learning both users' and products' feature representations (called user embeddings and product embeddings, respectively) from data collected from e commerce Web sites using recurrent neural networks and then apply a modified gradient boosting trees method to transform users' social networking features into user embeddings. We then develop a feature based matrix factorization approach which can leverage the learnt user embeddings for cold start product recommendation. Experimental results on a large dataset constructed from the largest Chinese microblogging service Sina Weibo and the largest Chinese B2C e commerce website JingDong have shown the effectiveness of our proposed framework.
Effect of Vacuum Microwave Drying on the Quality and Storage Stability of Strawberries

The aim of this study was to determine how vacuum assisted microwave drying (VMD, 50C, 6 kPa for 3 h) affects the quality attributes and shelf life of dehydrated strawberries. Changes of quality attributes such as color, texture, and rehydration, shrinkage, polyphenol contents, antioxidant activity, and physicochemical and sensory properties were assessed after VMD. Vacuum packed, dehydrated strawberries were stored at 20C in the dark for 6 months. Decay of anthocyanins, flavonoids and polyphenols, and antioxidant activity was determined and modeled according to first order kinetics. VMD resulted to minimum color difference. Texture changed by increased mechanical resistance and stiffness, and decreased toughness after VMD. Sensory attributes were between 3.5 and 4.3 on 5 point intensity hedonic scale. Anthocyanins were the most unstable components in strawberries after VMD and storage, assessing the strawberry shelf life to 68 days. Finally, VMD is a promising technology that can be used to maintain fruit quality and extend shelf life. Practical Applications Drying is particularly important for handling and distribution of agricultural products with high moisture content and limited shelf life such as fruits and vegetables. The main objective of drying is to reduce moisture content to a level where microbial spoilage and deteriorative chemical reactions of agricultural products are minimal. However, the degradation of nutrients in food during convective hot air drying results to quality loss. Therefore, new drying equipment and drying techniques have to be designed and studied. Vacuum assisted microwave drying is an emerging dehydration method that may be efficient to preserve quality characteristics of food and additionally leads to shorten effective drying time. The purpose of this study was to determine the effects of vacuum assisted microwave drying and subsequent product storage on the quality attributes and shelf life of strawberry fruits. This preservation technique may avoid freezing or refrigeration of fruit.
Framework for capacity credit assessment of electrical energy storage and demand response

The use of electrical energy storage (EES) and demand response (DR) to support system capacity is attracting increasing attention. However, little work has been done to investigate the capability of EES/DR to displace generation while providing prescribed levels of system reliability. In this context, this study extends the generation oriented concept of capacity credit (CC) to EES/DR, with the aim of assessing their contribution to adequacy of supply. A comprehensive framework and relevant numerical algorithms are proposed for the evaluation of EES/DR CC, with different 'traditional' generation oriented CC metrics being extended and a new CC metric defined to formally quantify the capability of EES/DR to displace conventional generation for different applications (system expansion, reliability increase etc. In particular, specific technology agnostic models have been developed to illustrate the implications of energy capacity, power ratings, and efficiency of EES, as well as payback characteristics and customer flexibility (that often also depend on different forms of storage available to customers) of DR. Case studies are performed on the IEEE RTS to demonstrate how the different characteristics of EES/DR can impact on their CC. The framework developed can thus support the important debates on the role of EES/DR for smart grid planning and market development.
Optimal Expansion of a Hydrogen Storage System for Wind Power: A Real Options Analysis

This paper presents a real options based techno economic analysis of a hydrogen based wind energy storage system (H2 WESS) deployed adjacent to a nearshore wind farm in northern Germany. The H2 WESS can be used to produce and store hydrogen when feed in management takes place, in order to avoid the shutdown of wind turbines during times of excess electricity supply, or when the spot market electricity price falls below the estimated (efficiency adjusted) market price of hydrogen. Moreover, an H2 WESS can provide negative minute reserve capacity. The modular design of the H2 WESS gives an investor the option to expand the capacity and gradually adapt to changing market conditions. The comprehensive and novel simulation model considers all relevant volatile inputs, such as stochastic wind conditions, feed in management events, prices, and minute reserve calls. By means of a Monte Carlo simulation, annual revenues and their volatility are computed with a view on projected technology improvements until 2030. Based on the simulation results, a binomial real options pricing model is used to design four interdependent binominal trees and to evaluate a Bermuda type compound expansion option. The decision trees, in which the investor can choose the maximum of the option to either upgrade the H2 WESS to the next expansion stage or to keep the real option alive, feature 390 time steps and 76,050 decision nodes each. Each compound decision takes the option of a smaller expansion stage explicitly into account. The compound expansion option to invest in a 5, 10, 15, or 20 MW H2 WESS has a 15 year expiration time and is found to have a value of about EUR2 million, compared to the net present value of a 5 MW H WESS of about EUR 2.45 million. We conclude from the real options analysis that for a realistic valuation of modular energy projects subject to various uncertainties it is crucial to incorporate the value of managerial flexibility that is influenced. Due to the modular design, and in contrast to conventional power plants, the flexibility of the H2 WESS comprises many specific options.
AZD9291 in epidermal growth factor receptor inhibitor resistant non small cell lung cancer.
Venue: Translational lung cancer research

Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in advanced EGFR mutant non small cell lung cancer have an objective response rate (ORR) of approximately 60 70% and a median progression free survival (PFS) of approximately 10 13 months. Studies of tumor biopsies performed after progression on EGFR TKI revealed that 50 60% of EGFR mutant NSCLC developed an EGFR exon 20 T790M mutation as a mechanism of acquired resistance. AZD9291 is a third generation irreversible EGFR TKI with activity against the activating EGFR mutation, the T790M acquired resistance mutation, and relative sparing of the wild type EGFR. AZD9291 was investigated in a phase I trial with expansion cohorts in patients with disease progression after EGFR TKI. Patients with and without detectable T790M mutations were enrolled in the trial. The ORR in patients with centrally confirmed and without detectable T790M mutations was 61% (95% CI, 52 70% and 21% (95% CI, 12 34% respectively. The PFS observed in patients with centrally confirmed and without detectable T790M mutations was 9.6 months (95% CI, 8.3 to not reached) and 2.8 months (95% CI, 2.1 4.3 months) respectively. At the dose for further investigation, 80 mg daily, the rate of all grade 3 5 drug related adverse events was 11% and the rates of grade 3 diarrhea and rash were 1% and 0% respectively. The identification of the T790M resistance mutation and the subsequent development of an agent against the mechanism of resistance provide a template for future drug development for acquired resistance to targeted therapy.
Big data: the hunt for timely insights and decision certainty

A new data paradigm has emerged. Despite the human instinct to reject what cannot be fully comprehended, the big data industry is extracting new causations among multiple pools of micro data that previously looked unrelated. This is leading to new, timely indicators and insights, and may generate new economic theories. Central banks do not have to be ahead of the curve, but they should not miss this opportunity to extract economic signals in almost real time, learn from the new methodologies, enhance their economic forecasts and obtain more precise and timely evaluations of the impact of their policies. Moreover, they should encourage these new data sources to be transparent regarding their methodology, quality and aggregation methods for publishing new types of economic indicators. Lastly, the big data industry will challenge not only traditional statistics and economics, but also the way in which these are fed into the decision making process. This paper argues in favour of developing a conceptual framework and road map for central banks using relevant pilot studies. The objective is to explore the conditions for making systematic use of these sources as part of the central banking policy toolkit.
Extending the scope of interprofessional education: Integrating insights from policy, management and economics for improved health outcomes

This study explores the potential of bringing innovations in public health education by drawing insights from the specialised disciplines of Economics, Policy and Management for their applications in the health sector. Working with subject experts from these disciplines can enhance the understanding of a working health care system and the necessary improvements for better health outcomes. Sole reliance on one field or skewed allocation of resources in certain areas may not result in achieving the desired health targets. Henceforth, overall integrated efforts for addressing the root causes of various health problems with an emphasis on good governance are important. This study presents a range of options for introducing new techniques in the curriculum design and development based on insights from the diverse disciplines of Economics, Policy and Management. The proposed innovative teaching and learning activities include students' involvement in policy dialogues through the departmental setup of Health Policy Networks (HPN) field activities to foster long term industry linkages; institutional opportunities for students to interact with students of the related programmes in other international universities from the developing and developed countries; and the engagement of students to maintain records of visits and lessons learned for use in future interprofessional development. It is postulated that the typical pedagogy of teaching public health courses in isolation without interaction with experts/students from these diverse fields may only produce routine thinkers instead of healthcare leaders, system thinkers and innovators.
School Nurses' perspectives on the role of the school nurse in health education and health promotion in England: a qualitative study
Venue: BMC Nursing

BackgroundThe role of the school nurse is complex with many possible elements identified by previous research. The aim of this study is to understand perceptions of the role of the school nurse in order to support school nurses in the delivery of health education.MethodsThe study used an inductive, qualitative research design involving semi structured interviews and focus groups. Participants were recruited from four NHS trusts across England and final sample size was thirty one school nurses. Three focus groups and two interviews took place in person, and three interviews were over the phone. Data was thematically analysed.ResultsSchool nurses described six main themes. Four themes directly related to the school nurse role: the main roles of a school nurse, school nurses' role in health education, prioritisation of workload and activities, and community work. A further two other themes related to the delivery of health education: the school nursing system and educational resources. role of the school nurse in England is very diverse and the school nurse role in health education is primarily to advise and support schools, rather than to directly deliver education. The study identified that tailored public health educational resources are needed to support school nurses.
Exploring Nurse's Communicative Role in Nurse Patient Relations: A Qualitative Study
Venue: Journal of caring sciences

Recognition the nurses' communicative roles can influence quality of patient's care. Therefore, this study was aimed to explore nurse's role in nurse patient relations.  This study was a qualitative research in which collected data was analyzed by content analysis method. The participants were 23 nurses, patients and their families in medical and surgical wards of a referral hospital in Tehran, Iran. Data were collected by semi structured interview and observation.  Data analysis was led to the emergence of a main conceptual category: The patient's need based communication. This category was derived from two categories: 1) Identifying the patient's needs; and 2) Communicative behavior in the face of the patient's needs. "Identifying the patient's needs" was related to "type of the patient's problem" "patients' inquiring about their health status" and "monitoring the patient's health status" "Communicative behavior in the face of the patient's needs" was composed of four subcategories: "caring attention" "informal education of the patient" "inducing calmness to the patient" and "obtaining the trust of the patient"  The nurse's role in relationship with patients is designed according to patients' needs. Therefore, if the patients' needs in clinical settings are defined and clarified appropriately, the nurse patient relations will be enhanced and thereby the quality of care will be improved.
Distributed Consensus of Second Order Multi Agent Systems With Heterogeneous Unknown Inertias and Control Gains Under a Directed Graph
Venue: IEEE Transactions on Automatic Control

In this paper, we study the consensus problem for second order multi agent systems with heterogeneous unknown inertias and control gains under a general directed graph. Unlike the existing consensus algorithms for second order multi agent systems in which all agents are assumed to have common unit inertias or share common control gains, we allow the inertias and the control gains to be heterogeneous and time varying for each agent. We propose fully distributed consensus algorithms over a general directed graph when there exist, respectively, absolute velocity damping and relative velocity damping. Novel integral type Lyapunov functions are proposed to study the consensus convergence. Moreover, the adaptive s modification schemes for the gain adaptation are proposed, which renders smaller control gains and thus requires smaller amplitude on the control input without sacrificing consensus convergence. Furthermore, we show that one proposed algorithm also works for consensus of agents with intrinsic Lipschitz nonlinear dynamics. The control gains are varying and updated by distributed adaptive laws. As a result, the proposed algorithms require no global information and thus can be implemented in a fully distributed manner.