nils-herrmann/clean_scirepeval huggingface dataset:
Occurrence and removal of pharmaceuticals, hormones, personal care products, and endocrine disrupters in a full scale water reclamation plant.
Venue: The Science of the total environment
Year: 2017

This study provided the first comprehensive data on the occurrence and removal of twenty five target emerging contaminants (ECs) in a full scale water reclamation plant (WRP) in the Southeast Asian region. Nineteen out of the twenty five ECs were ubiquitously detected in raw influent samples. Concentrations of the detected ECs in raw influent samples ranged substantially from 44.3 to 124,966ng/L, depending upon the compound and sampling date. The elimination of ECs in full scale conventional activated sludge (CAS) and membrane bioreactor (MBR) systems at a local WRP was evaluated and compared. Several ECs, such as acetaminophen, atenolol, fenoprofen, indomethacin, ibuprofen, and oxybenzone, exhibited excellent removal efficiencies >90% in biological wastewater treatment processes, while some of the investigated compounds (carbamazepine, crotamiton, diclofenac, and iopamidol) appeared to be persistent in the both CAS and MBR systems. Field based monitoring results showed that MBR outperformed CAS in the elimination of most target ECs. The relationship between molecular characteristics of ECs (i.e. physicochemical properties and structural features) and their removal efficiencies during biological wastewater treatment was also elucidated. Excellent removal efficiencies >90% were often noted for ECs with the sole presence of electron donating groups (i.e. phenolic [OH] amine [NH2] methoxy [OCH3] phenoxy [OC6H5] or alkyl groups) Conversely, ECs with the absence of electron donating groups or the predominance of strong electron withdrawing groups (e.g. halogenated, carbonyl, carboxyl, and sulfonamide) tended to show poor removal efficiencies <30% in biological wastewater treatment processes.
A Lunar Robot Obstacle Avoidance Planning Method Using Deep Reinforcement Learning for Data Fusion
Venue: 2019 Chinese Automation Congress (CAC)
Year: 2019

In future exploration and base construction on the moon, obstacle avoidance planning of lunar robots in an uncertain environment is critical for their autonomous movements and operations, with no precise location information of obstacles. In the present work, an obstacle avoidance planning method using deep reinforcement learning with a double channel Q network is proposed, by which local surveillance video images and navigating data are merged for action value estimation. Through simulation, our method is turned out to achieve motion planning effectively from raw sensing data, and learn faster than the methods using single type of data.
A Polarization Diversity Patch Antenna with a Reconfigurable Feeding Network
Year: 2015

This paper proposes a reconfigurable square patch antenna with polarization diversity. The proposed antenna consists of a square radiating patch and a Y shaped feed structure with two PIN diodes. The shape of the feed structure can be changed by adjusting the bias states of the two PIN diodes, which helps switch between two orthogonal linear polarizations. The polarization diversity characteristic is validated by the simulated current distribution and the measured radiation pattern.
The Utilization of Chinese Traditional Elements in Social Media Marketing of Indigenous Mobile Terminals
Venue: HCI
Year: 2016

This paper mainly discusses the phenomenon in recent years that many brands are using traditional Chinese elements in the mobile terminal marketing so as to integrate creativity. The full text has a classic CCTV advertisement "ink" as an index, the classification of Chinese traditional elements, the interpretation of the Chinese mainland's popular mobile marketing methods that are prevailing nowadays, Baidu and McDonald's "Chinese style" case and its marketing effect, and the comprehensive analysis of this marketing phenomenon, and the forecast of its development trend.
Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding
Venue: WWW
Year: 2017

This paper introduces Explicit Semantic Ranking (ESR) a new ranking technique that leverages knowledge graph embedding. Analysis of the query log from our academic search engine, SemanticScholar.org, reveals that a major error source is its inability to understand the meaning of research concepts in queries. To addresses this challenge, ESR represents queries and documents in the entity space and ranks them based on their semantic connections from their knowledge graph embedding. Experiments demonstrate ESR's ability in improving Semantic Scholar's online production system, especially on hard queries where word based ranking fails.
Torque control of friction stir welding for manufacturing and automation
Year: 2010

Friction stir welding (FSW) is a solid state welding process that utilizes a rotating tool to plastically deform and forge together the parent materials of a workpiece. The process involves plunging the rotating tool that consists of a shoulder and a pin into the workpiece and then traversing it along the intended weld seam. The welding process requires a large axial force to be maintained on the tool. Axial force control has been used in robotic FSW processes to compensate for the compliant nature of robots. Without force control, welding flaws would continuously emerge as the robot repositioned its linkages to traverse the tool along the intended weld seam. Insufficient plunge depth would result and cause the welding flaws as the robot's linkages yielded from the resulting force in the welding environment. The research present in this paper investigates the use of torque instead of force to control the FSW process. To perform this research, a torque controller was implemented on a retrofitted Milwaukee Model K milling machine. The closed loop proportional, integral plus derivative control architecture was tuned using the Ziegler Nichols method. Welding experiments were conducted by butt welding 0.25 in. (6.35 mm) x 1.5 in. (38.1 mm) x 8 in. (203.2 mm) samples of aluminum 6061 with a 0.25 in. (6.35 mm) threaded tool. The results indicate that controlling torque produces an acceptable weld process that adapts to the changing surface conditions of the workpiece. For this experiment, the torque was able to be controlled with standard deviation of 0.231 N m. In addition, the torque controller was able to adjust the tool's plunge depth in reaction to 1 mm step and ramp disturbances in the workpiece's surface. It is shown that torque control is equivalent to weld power control and causes a uniform amount of energy per unit length to be deposited along the weld seam. It is concluded that the feedback signal of torque provides a better indicator of tool depth into the workpiece than axial force. Torque is more sensitive to tool depth than axial force. Thus, it is concluded that torque control is better suited for keeping a friction stir welding tool properly engaged with the workpiece for application to robotics, automation, and manufacturing.
Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges
Year: 2014

Traditionally, the nowcasting of precipitation was conducted to a large extent by means of extrapolation of observations, especially of radar ref lectivity. In recent years, the blending of traditional extrapolation based techniques with high resolution numerical weather prediction (NWP) is gaining popularity in the nowcasting community. The increased need of NWP products in nowcasting applications poses great challenges to the NWP community because the nowcasting application of high resolution NWP has higher requirements on the quality and content of the initial conditions compared to longer range NWP. Considerable progress has been made in the use of NWP for nowcasting thanks to the increase in computational resources, advancement of high resolution data assimilation techniques, and improvement of convective permitting numerical modeling. This paper summarizes the recent progress and discusses some of the challenges for future advancement.
Incidence of Watershed Land Use on the Consumption of Meso and Microplastics by Fish Communities in Uruguayan Lowland Streams
Year: 2021

Physical chemical and biologicaldiversity of streams are influenced by the land use in their watersheds. Plastics currently make up the most important waste asset, representing an important part of the transported and accumulated material in water courses. This work analyzes the consumption of plastics debris by the fish communities in streams with two contrasting types of land use. We worked with threestreams impacted by urbanization and threeby extensive ranching. The stomach and intestinal contents of 309 individuals of 29 species were analyzed, by a modified alkaline digestion, and observed under a stereo microscope with polarized light. A total of 373 plastic itemswere found, of which the majority corresponded to fibers (318) A significant difference was found between the percentage of individuals that consumed plastic debrisbetween both systems (51.6% in ranchers and 76.6% in urban, p 0.014 Mood's Median) but no difference was found in the average ingested per individual. This study establishes the first baseline on plastic debris consumption by fish in Uruguayan streams, showing the extent of the plastic and microplastic pollution problem. Although there are differences between the analyzed sites, we also observed significant contamination in streams far from urbanization.
The Effectiveness of Reading Strategies on Reading Comprehension
Year: 2020

This research aimed to investigate the effectiveness of reading strategies on reading comprehension of the second year English major students who enrolled to study English Reading at the faculty of Liberal Arts and Science, Kasetsart University, to find out whether, after being trained in reading strategies, they were able to apply any of these strategies to their reading processes. The data were collected from a questionnaire and reading tasks and semi structured interviews. The statistical techniques used were the mean value and standard deviation. The analysis of qualitative data and summary of key points were made from the interview. The findings were that reading strategies had a positive effect on the students' reading comprehension. The students had favourable attitudes towards skimming, scanning, making predictions and questioning and they could apply these strategies to their reading processes and they helped them to comprehend the text better.
Motion tracking via body radio reflections
Year: 2014

A motion tracking system makes use of a number antennas to transmit and receive radio frequency signals that are reflected from objects (e.g. people) in the environment of the system, which may include one or more rooms of a building, the interior of a vehicle, etc. and may be partitioned, for example, walls or cloth sheets. In general, the objects in the environment include both fixed objects, such as chairs, walls, etc. as well as moving objects, such as but not limited to people. The system can track people, who may be moving around a room, or may be relatively stationary, for instance, sitting in a chair of lying in bed, but may nevertheless exhibit breathing motion that may be detected. The system may detect body or limb gestures made by the people in the environment, and detect physical activity including detection of falls.
Endocrine and metabolic adverse effects of psychotropic medications in children and adolescents.
Venue: Journal of the American Academy of Child and Adolescent Psychiatry
Year: 2006

Despite increasing use of psychotropic medications in children and adolescents, data regarding their efficacy and safety are limited. Endocrine and metabolic adverse effects are among the most concerning adverse effects of commonly used psychotropic medications.  Selective review of endocrine and metabolic effects of psychotropic medications in pediatric populations, with a focus on monitoring and management strategies.  Because youth are still developing at the time of psychotropic drug exposure, most reference values need to be adjusted for gender and age. As in adults, youngsters receiving lithium require monitoring for thyroid dysfunction. Psychostimulants appear to cause mild reversible growth retardation in some patients, most likely because of decreased weight or slowing of expected weight gain; some patients may experience clinically significant reductions in adult height. Although still controversial, valproate use has been associated with an increased risk for polycystic ovary syndrome, in addition to causing weight gain. Although more data are required, children and adolescents appear to be at higher risk than adults for antipsychotic induced hyperprolactinemia, weight gain, and possibly, associated metabolic abnormalities, which is of particular concern.  Clinicians and caregivers need to be aware of potential endocrine and metabolic adverse effects of psychiatric medications. A careful selection of patients, choice of agents with potentially lesser risk for these adverse events, healthy lifestyle counseling, as well as close health monitoring are warranted to maximize effectiveness and safety.
Enhanced CO2 capture and hydrogen purification via hydroxy metal organic framework/polyimide mixed matrix membranes.
Venue: ChemSusChem
Year: 2019

Membrane separation technology provides substantial energy and cost savings for molecular separations in chemical industrials, ideally complementing conventional thermal driven separation approaches. However, current membranes confront pragmatic challenges, primarily lying in the Robeson permeability selectivity upper bound limits. Here we show hydroxy metal organic frameworks (MOFs)/polyimide mixed matrix membranes, enabling high separation performance for applications including CO2 capture and hydrogen purification, while offering enhanced compatibility with state of the art membrane manufacturing processes. The mixed matrix membranes exceed present Robeson upper bounds with a H2 and CO2 permeability of 907 Barrers and 650 Barrers, respectively, with a H2/CH4 and CO2/CH4 selectivity of 45 and 32, respectively. The unparalleled performance results from intimate interactions at the boundary of hydroxy MOFs and carboxylic polymers via intensive hydrogen bonds. The principle of design opens the door to ultra permeable membranes with synergistic compatibility with current membrane manufacturing platforms for energy efficient molecular separations.
Building to Make a Difference: Advanced Practice Nurses' Experience of Power
Venue: Research and Theory for Nursing Practice
Year: 2018

Power is necessary for nurses to affect change in patient care and to move the nursing profession forward. Despite the evolving body of nursing research on power, there have been no studies that have investigated the nature of advanced practice nurses' (APNs' power. The purpose of this study was to explore the APNs' lived experience of power. Interpretive phenomenology guided the method and analysis. Eight APNs employed in a single Canadian tertiary care teaching health care organization engaged in in depth interviews. The overarching theme, building to make a difference, reflected the APNs' perception of power in their practice, which involved a passion to facilitate change in practice to improve patient care. Building to make a difference involved three themes: building on, building with, and building for. The APNs experienced more power a process they described as power creep when they used soft power that was shared with others to affect positive change in health care. These findings contribute to our understanding of how power is perceived and manifested in the APN role, thus further enabling organizations to create working conditions to support the APNs' endeavors to empower others.
Giant congenital melanocytic nevus associated with lipoma
Year: 2020

Congenital melanocytic nevi (CMN) are defined as melanocytic nevi present at birth or shortly thereafter. Giant congenital melanocytic nevus is a variant of congenital melanocytic nevus, it is defined as melanocytic nevus measuring more than 20 cm in its greatest dimension. Patients with giant CNN are at a significantly increased risk for the development of malignant melanoma, and should be kept under continuous surveillance
A Theory of Reciprocity
Venue: Games Econ. Behav.
Year: 2006

This Paper presents a formal theory of reciprocity. Reciprocity means that people reward kind actions and punish unkind ones. The theory takes into account that people evaluate the kindness of an action not only by its consequences but also by the intention underlying this action. The theory explains the relevant stylized facts of a wide range of experimental games. Among them are the ultimatum game, the gift exchange game, a reduced best shot game, the dictator game, the prisoner's dilemma, and public goods games. Furthermore, the theory explains why the same consequences trigger different reciprocal responses in different environments. Finally, the theory explains why in bilateral interactions outcomes tend to be 'fair' whereas in competitive markets even extremely unfair distributions may arise.
The Dementia Friendly Hospital Initiative education program for acute care nurses and staff.
Venue: Journal of continuing education in nursing
Year: 2014

Individuals with Alzheimer's disease and other dementias have 3.2 million hospital stays annually, which is significantly more than older individuals without dementia. Hospitalized patients with dementia are at greater risk of delirium, falls, overwhelming functional decline that may extend the hospital stay, and prolonged or complicated rehabilitation. These risks highlight the need for staff education on the special care needs of this vulnerable population. This article describes a one day education program, the Dementia Friendly Hospital Initiative, designed to teach staff how to provide the specialized care required by patients with dementia. Participants (N 355) from five different hospitals, including 221 nurses, completed a pretest posttest evaluation for the program. Changes in participants attitudes and practices, confidence, and knowledge were evaluated. Scores indicated significant improvement on the posttest. The evaluation provides further evidence for recommending dissemination of the Dementia Friendly Hospital Initiative.
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function
Venue: ArXiv
Year: 2019

Translation based embedding models have gained significant attention in link prediction tasks for knowledge graphs. TransE is the primary model among translation based embeddings and is well known for its low complexity and high efficiency. Therefore, most of the earlier works have modified the score function of the TransE approach in order to improve the performance of link prediction tasks. Nevertheless, proven theoretically and experimentally, the performance of TransE strongly depends on the loss function. Margin Ranking Loss (MRL) has been one of the earlier loss functions which is widely used for training TransE. However, the scores of positive triples are not necessarily enforced to be sufficiently small to fulfill the translation from head to tail by using relation vector (original assumption of TransE) To tackle this problem, several loss functions have been proposed recently by adding upper bounds and lower bounds to the scores of positive and negative samples. Although highly effective, previously developed models suffer from an expansion in search space for a selection of the hyperparameters (in particular the upper and lower bounds of scores) on which the performance of the translation based models is highly dependent. In this paper, we propose a new loss function dubbed Adaptive Margin Loss (AML) for training translation based embedding models. The formulation of the proposed loss function enables an adaptive and automated adjustment of the margin during the learning process. Therefore, instead of obtaining two values (upper bound and lower bound) only the center of a margin needs to be determined. During learning, the margin is expanded automatically until it converges. In our experiments on a set of standard benchmark datasets including Freebase and WordNet, the effectiveness of AML is confirmed for training TransE on link prediction tasks.
Early Impact of the Western Journal of Emergency Medicine CDEM/CORD Special Issue in Educational Research Practice
Venue: The western journal of emergency medicine
Year: 2019

In 2015, with a stated goal of disseminating best teaching practices and developing a community of educational scholars, the Council of Emergency Medicine Directors (CORD) and the Clerkship Directors of Emergency Medicine (CDEM) created an annual Special Issue in Educational Research and Practice (Special Issue) in cooperation with the Western Journal of Emergency Medicine. The intention of this study was to analyze the impact of this effort to date.  Bibliometric data was gathered on all four special issues, 2015 2019, from the Web of Science and then verified with the eScholarship website. Authorship, academic affiliation, date published, article type, and format were tabulated for descriptive analysis. Using metrics from Google Scholar, alternative scholarly impact metrics (altmetrics) and the eScholarship website, the authors identified top articles and grouped them into themes.  Of the 136 articles included in the first four years of the Special Issue, 126 represented peer reviewed publications with an overall acceptance rate of 25.0% (126/505) Authors from this cohort represented 103 of the 182 (56.6% Accreditation Council for Graduate Medical Education (ACGME) programs in existence at the time of the inaugural issue. Multi institutional studies represented 34.9% (44/126) of the peer reviewed publications. Traditional and alternative publication metrics are reported to assess the impact of articles from the Special Issues.  The Special Issue is a proven outlet to share best practices, innovations, and research related to education. Additionally, the infrastructure of this process promotes the development of individual faculty and a community of teaching scholars.
The effects of belief in good luck and counterfactual thinking on gambling behavior
Venue: Journal of behavioral addictions
Year: 2015

One's belief in good luck, and belief that it is a personal trait, could play a crucial role in gambling behavior, and can lead gamblers to have an irrational anticipation to win and to over generalize their subjective sense of control. And upward counterfactual thinking has been considered to be a factor that offsets those irrational beliefs. This study examined the effects of belief in good luck and of upward counterfactual thinking on gambling behavior.  The subjects of the study were 52 college students who had been classified as non problematic and non pathological gamblers. They were assigned into one of two groups, distinguished by having either high (n 25) or low (n 27) levels of self perception of luck, as determined by their scores on the Belief in Good Luck (BIGL) Scale. The subjects were assigned to different groups according to their reported experience of upward counterfactual thinking.  We found that those who had high BIGL scores spent more money on gambling than those who had low BIGL scores. Moreover, after taking into account the upward counterfactual thinking, the subjects with high BIGL scores showed a dramatic decrease in their expectations of winning.  The results indicate that to perceive luck as a personal and internal trait could affect gambling, which is one of the cognitive errors for gambling addiction. On the other hand, given that upward counterfactual thinking plays an important role in reducing cognitive errors, it could act as a protective factor against gambling addiction.