nils-herrmann/clean_scirepeval huggingface dataset:
Optimization of energy management system for fuel cell hybrid electric vehicles: Issues and recommendations
Year: 2018

Hybrid electric vehicle technologies emerge mainly because of the instability in fossil fuel prices, resources and the terrible impact of global warming. As most transport systems use fossil fuel and emit greenhouse gases, many researchers have studied the potential of fuel cell hybrid electric vehicles (FCHEVs) FCHEVs are vehicles with zero greenhouse gas emission because they only depend on hydrogen. Numerous studies have proven that fuel cells with energy storage elements can provide sufficient energy required by FCHEVs. However, end users demand FCHEVs that are not only efficient in delivering the energy required but can also optimize hydrogen consumption and prolong battery lifetime to compete with current internal combustion engine vehicles. Therefore, advanced optimization algorithms for an FCHEV energy management system (EMS) must be developed to improve the performance efficiency of FCHEVs. This paper presents a critical review of the different types of FCHEV EMSs and their optimization algorithms to solve existing limitations and enhance the performance of future FCHEVs. Consequently, a comprehensive review on the major categories of FCHEV EMSs, such as proportional integral derivative controller, operational or state mode, rule based or fuzzy logic, and equivalent consumption minimization strategies, are explained. This paper also describes optimization techniques such as linear programming, dynamic programming, Pontryagin's minimum principle, genetic algorithm, particle swarm optimization and rule based logic optimization for the EMSs of FCHEVs. Furthermore, it focuses on the various factors and challenges of existing optimization algorithms, hydrogen fuel source, environment and safety, and economical and societal concerns, as well as provides recommendations for designing capable and efficient EMSs for FCHEVs. All the highlighted insights of this review will hopefully lead to increasing efforts toward the development of an advanced optimization algorithm for future FCHEV EMSs.
Incorporating word order explicitly in GloVe word embedding
Year: 2019

Word embedding is the process of representing words from a corpus of text as real number vectors. These vectors are often derived from frequency statistics from the source corpus. In the GloVe model as proposed by Pennington et al. these vectors are generated using a word word cooccurrence matrix. However, the GloVe model fails to explicitly take into account the order in which words appear within the contexts of other words. In this paper, multiple methods of incorporating word order in GloVe word embeddings are proposed. The most successful method involves directly concatenating several word vector matrices for each position in the context window. An improvement of 9.7% accuracy is achieved by using this explicit representation of word order with GloVe word embeddings.
Screening for postpartum depression and borderline personality disorder: Food for thought
Venue: The Australian and New Zealand journal of psychiatry
Year: 2019

Australian New Zealand Journal of Psychiatry, 54(3) now collecting these labels, often in multiples. With them they collect medications and an identity that views themselves as fundamentally 'disordered' In child psychiatry, we need to find a way to keep the nuance of individual experience and the subtleties of understanding a child in context. This is an approach that keeps open possibilities for the future of each child, particularly those who are brought for help. My concern is that already campaigns of mental health literacy work to fix a child to their diagnostic identifications which become difficult to break free from. A childhood mental health literacy initiative can only serve to increase the diagnoses of childhood mental health disorders, while failing to consider the complexities of children in context. It is only an 'illiteracy' that allows a child, in conjunction with those they come into contact with, to find their own language to author their own lives.
Estadia practica de la licenciatura en gastronomia y su evidencia de desempeno profesional
Year: 2020

The professional training of the Gastronomy graduates of the Technological University of 1 Revista Internacional de Educacion y Aprendizaje, X(X) 202X, ISSN 2255 453X (c) Global Knowledge Academics, los autores.  educacion 2 Estudiante del Doctorado en Investigacion e Innovacion Educativa de la Facultad de Filosofia y Letras de la BUAP, con beca Conacyt no. 620011 Maestria en Educacion Superior y Maestria en Administracion, Licenciada en Administracion de Empresas Turisticas, docente de la Division de Gastronomia de la UTP, e mail: idania.nafate@utpuebla. edu.mx.  Ha participado en varios proyectos de diseno y evaluacion curricular. Ademas colabora en proyectos nacionales e internacionales, e mail: tutorbenjamin@hotmail.com.  is perceived as an essential part in the development of their professional skills to solve the problems they demand in the workplace. Food and Beverage Establishments increasingly require graduates to develop their professional skills as a key to performance, in carrying out specific activities in the different work areas. It is essential to verify that the students, by obtaining their Practical Stay (EP) achieve autonomous levels of performance in real work situations E S T A D I A P R A C T I C A D E L A L I C E N C I A T U R A E N G A S T R O N O M I A Y S U E V I D E N C I A D E D E S E M P E N O P R O F E S I O N A L R E V I S T A B O L E T I N R E D I P E 9 9 1 9 1 2 0 3 S E P T I E M B R E 2 0 2 0 I S S N 2 2 5 6 1 5 3 6 1 9 2 PALBARAS CLAVE Formacion Profesional Gastronomia Competencias Estadia Practica Desempeno
MAM E17 rat model impairments on a novel continuous performance task: effects of potential cognitive enhancing drugs
Venue: Psychopharmacology
Year: 2017

RationaleImpairments in attention and inhibitory control are endophenotypic markers of neuropsychiatric disorders such as schizophrenia and represent key targets for therapeutic management. Robust preclinical models and assays sensitive to clinically relevant treatments are crucial for improving cognitive enhancement strategies.ObjectivesWe assessed a rodent model with neural and behavioral features relevant to schizophrenia (gestational day 17 methylazoxymethanol acetate treatment (MAM E17) on a novel test of attention and executive function, and examined the impact of putative nootropic drugs.MethodsMAM E17 and sham control rats were trained on a novel touchscreen based rodent continuous performance test (rCPT) designed to closely mimic the human CPT paradigm. Performance following acute, systemic treatment with an array of pharmacological compounds was investigated.ResultsTwo cohorts of MAM E17 rats were impaired on rCPT performance including deficits in sensitivity (d' and increased false alarm rates (FARs) Sulpiride (0 30 mg/kg) dose dependently reduced elevated FAR in MAM E17 rats whereas low dose modafinil (8 mg/kg) only improved d' in sham controls. ABT 594 (5.9 19.4 mg/kg) and modafinil (64 mg/kg) showed expected stimulant like effects, while LSN2463359 (5 mg/kg) RO493858 (10 mg/kg) atomoxetine (0.3 1 mg/kg) and sulpiride (30 mg/kg) showed expected suppressant effects on performance across all animals. Donepezil (0.1 1 mg/kg) showed near significant enhancements in d' and EVP 6124 (0.3 3 mg/kg) exerted no effects in the rCPT paradigm.ConclusionThe MAM E17 model exhibits robust and replicable impairments in rCPT performance that resemble attention and inhibitory control deficits seen in schizophrenia. Pharmacological profiles were highly consistent with known drug effects on cognition in preclinical and clinical studies. The rCPT is a sensitive and reliable tool with high translational potential for understanding the etiology and treatment of disorders affecting attention and executive dysfunction.
Want a better h index? All you need to know about copyright and open access.
Venue: Orthopaedics traumatology, surgery research OTSR
Year: 2020

Physicians, whether in the public or private sector, are increasingly bound to "publish or perish" Although researchers have become aware of certain ethical concerns relating to the concept of authorship, clinicians still tend to neglect issues of copyright. The present study aims: 1) to explain to orthopedic surgeons what exactly is protected by copyright in a scientific article; 2) to assess the legal implications of publishing contracts; and 3) to specify the means of publication that best boost the author's h index.  The study was based on intellectual property legislation and jurisprudence and the underlying principles. The European and American medical and legal literature was analyzed.  It is vital to understand the basic principles of copyright and the legal implications of publishing contracts. A scientific article is protected by copyright as soon as it has been written. This confers both moral and property rights. "Moral" rights protect the person of the author and are inalienable; unlike property rights, they cannot be transferred. Publishing contracts can only concern property and other derivative rights. Most scientific articles are published in open access via Creative Commons (CC) licenses. The greater the freedom of use provided for in the CC license, the more easily other authors can use the article, adding to it or altering it. As all CC licenses include an attribution clause, authors publishing under a relatively unrestrictive CC license increase the chances of boosting their h index.  Forewarned is forearmed. Mastering the means of publication enables authors to make the most of their publications in boosting their h index, and also to contribute to the new Open Science paradigm: abandoning some intellectual property in favor of innovation and knowledge sharing rather than clinging to data protection.
Simultaneous determination and pharmacokinetics of sixteen Angelicae dahurica coumarins in vivo by LC ESI MS/MS following oral delivery in rats.
Venue: Phytomedicine international journal of phytotherapy and phytopharmacology
Year: 2016

The roots of Angelica dahurica cv. Qibaizhi is frequently used in clinical practice as a traditional Chinese medicine. However, a comprehensive study of the pharmacokinetics of this medicine has not been carried out.  A sensitive and specific liquid chromatographic tandem mass (LC MS/MS) spectrometric method was established to investigate pharmacokinetics of sixteen coumarins of Angelicae dahuricae Radix (ADR) in rat plasma, including xanthotoxol (1) oxypeucedanin hydrate (2) 5 hydroxy 8 methoxypsoralen (3) marmesin (4) byakangelicin (5) columbianetin (6) psoralen (7) xanthotoxin (8) neobyakangelicol (9) isoimpinellin (10) bergapten (11) heraclenin (12) oxypeucedanin ethanolate (13) imperatorin (14) phellopterin (15) isoimperatorin (16) Detection was performed on a triple quadrupole mass spectrometer in multiple reaction mode (MRM)  The method established in this assay was successfully applied to the pharmacokinetic study of the selected coumarins in rat plasma after oral administration of the extract of ADR, and the pharmacokinetic characteristics of sixteen coumarins were clearly elucidated.  This pharmacokinetic identification of multiple coumarins of ADR in rats provides a significant basis for better understanding the metabolic mechanism of the herb medicine.
Use of social media and WhatsApp to conduct teaching activities during the COVID 19 lockdown in Pakistan
Venue: The International journal of pharmacy practice
Year: 2020

The Higher Education Commission (HEC) directed all universities nationwide to start online classes due to the COVID 19 lockdown. In Pakistani higher education settings, distance/virtual learning is not a common practice and for the Pharm D students their preference is always face to face lectures. In addition, most of the public universities lack a proper virtual education system. Therefore, the learning management system used by universities is only used for student registration, attendance and distribution of the study material (PowerPoint files/lecture handouts) Regrettably, the availability of recorded virtual lectures is not very common in most Pakistani universities. Due to a lack of proper virtual education set up and of trained human resources, it became challenging to ensure all students were getting access to the recorded/live lectures. Limited Internet services, especially for students in remote areas, appear to be the main factor hindering access to virtual lectures. The Institute of Pharmaceutical Science (IPS) University of Veterinary and Animal Science, implemented the directive to adapt virtual/online classes for the Pharm D and Master of Philosophy students. Various free software like Zoom, Google Meet and Facebook Live were shortlisted for virtual/online classes  Google Meet and Facebook Live sessions were conducted by creating private groups for the students from the same semester. It is observed that Facebook Live appears to be a very userfriendly and a convenient online learning method for the teachers and students because it does not require any special skills or settings. Discussion sessions conducted at the Facebook Live assisted in clarifying students' concepts and any additional queries regarding the lecture. Recorded lectures were also shared at a WhatsApp group to aid revision. It is observed that by using these methods a student with poor communication skills is effectively interacting with the teacher in comparison with the faceto face teaching session. In conclusion, use of the social media and social networking applications may serve as a useful communication and teaching tool for developing countries. If the situation persists and lockdown is extending, using advance learning management systems like Moodle or Blackboard will be a better option. Thus, allowing students to get an in depth exposure of the virtual learning methods and on other end instructors can do comprehensive assessments as well.
Towards Sustainable Oil Palm Plantation Management: Effects of Plantation Age and Soil Parent Material
Venue: Agricultural Sciences
Year: 2020

This study was conducted to generate information required to guide plantation management in relation to replanting on soils derived from different parent materials. Six oil palm estates in coastal lowlands of southwest Cameroon were considered. Oil palm yield data (in tha 1 of fresh fruit bunch, FFB) and corresponding age of palms (in years after planting, YAP) were obtained for the various estates. In all the estates, average yields were FFBha 1 and highly variable. Plantation age, solely, explained between 20% 58% of the variation in yield. The highest average yields (11.5 tFFBha 1) were obtained in plantations aged between 9 and 18 YAP and the lowest (4.66 tFFBha 1) were obtained in old plantations >23 YAP) Plantations located on volcanic parent materials generally had higher yields compared to those established on sedimentary parent materials. In order to intensify production and increase yields while conserving the environment, one important measure to consider is the replacement of aged palms, and the recommended optimal replanting age in coastal plains of southwest Cameroon should be at most 23 YAP. Estimated mean yields, if aged palms are replanted on time, can increase by 43% 65% Additionally, site specific nutrient management options should be considered in plantation intensification programs.
Approximate Bayesian computation with the Wasserstein distance
Venue: Journal of the Royal Statistical Society: Series B (Statistical Methodology)
Year: 2019

A growing number of generative statistical models do not permit the numerical evaluation of their likelihood functions. Approximate Bayesian computation has become a popular approach to overcome this issue, in which one simulates synthetic data sets given parameters and compares summaries of these data sets with the corresponding observed values. We propose to avoid the use of summaries and the ensuing loss of information by instead using the Wasserstein distance between the empirical distributions of the observed and synthetic data. This generalizes the well known approach of using order statistics within approximate Bayesian computation to arbitrary dimensions. We describe how recently developed approximations of the Wasserstein distance allow the method to scale to realistic data sizes, and we propose a new distance based on the Hilbert space filling curve. We provide a theoretical study of the method proposed, describing consistency as the threshold goes to 0 while the observations are kept fixed, and concentration properties as the number of observations grows. Various extensions to time series data are discussed. The approach is illustrated on various examples, including univariate and multivariate g and k distributions, a toggle switch model from systems biology, a queuing model and a Levy driven stochastic volatility model.
Strategies and resources for nurse leaders to use to lead with empathy and prudence so they understand and address sources of anxiety among nurses practising in the era of COVID 19
Venue: Journal of clinical nursing
Year: 2020

Identify strategies and resources for nurse leaders to use to lead with empathy and prudence to improve quality of care and to ease the psychological toll on nurses caring for patients with COVID 19.  In a 2020 report, clinicians caring for patients during the COVID 19 pandemic said their healthcare leaders needed to: 'hear me, protect me, prepare me, support me, and care for me' These words provide an action plan for nurse leaders to communicate, educate, and support nurses to practice competently and safely (physically and mentally) in the context of COVID 19.   Identification and inclusion of relevant international evidence with clinical discussion.  Nurse leaders can mobilise system and individual level strategies and resources to support nurses to manage pandemic related issues including: anxiety due to the risk of infection, supporting anxious children, mitigating moral injury; providing safe and quality nursing care for patients with COVID 19 and end of life care as needed; supporting relatives who cannot be present with a dying relative, and care for grieving relatives and colleagues. We categorise a selection of evidence based, online sources providing current COVID 19 information, practice updates, and resources to develop personalised self care plans to ease anxiety and support renewal and resilience.  Nurse leaders must ensure adequate PPE supply, upskill nurses to provide safe, quality care for patients with COVID 19, and promote restorative self care plans. Relevance to clinical practice The strategic actions nurse leaders take today can positively impact nurses' wellbeing and ability to provide safe and quality care for patients in the context of COVID 19.
QLib A Matlab Package for Quantum Information Theory Calculations with Applications
Year: 2007

Developing intuition about quantum information theory problems is difficult, as is verifying or ruling out of hypothesis. We present a Matlab package intended to provide the QIT community with a new and powerful tool set for quantum information theory calculations. The package covers most of the "QI textbook" and includes novel parametrization of quantum objects and a robust optimization mechanism. New ways of re examining well known results is demonstrated. QLib is designed to be further developed and enhanced by the community and is available for download at www.qlib.info
Minimal Case Relative Pose Computation Using Ray Point Ray Features
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2020

Corners are popular features for relative pose computation with 2D 2D point correspondences. Stable corners may be formed by two 3D rays sharing a common starting point. We call such elements ray point ray (RPR) structures. Besides a local invariant keypoint given by the lines' intersection, their reprojection also defines a corner orientation and an inscribed angle in the image plane. The present paper investigates such RPR features, and aims at answering the fundamental question of what additional constraints can be formed from correspondences between RPR features in two views. In particular, we show that knowing the value of the inscribed angle between the two 3D rays poses additional constraints on the relative orientation. Using the latter enables the solution of the relative pose problem with as few as 3 correspondences across the two images. We provide a detailed analysis of all minimal cases distinguishing between 90 degree RPR structures and structures with an arbitrary, known inscribed angle. We furthermore investigate the special cases of a known directional correspondence and planar motion, the latter being solvable with only a single RPR correspondence. We complete the exposition by outlining an image processing technique for robust RPR feature extraction. Our results suggest high practicality in man made environments, where 90 degree RPR structures naturally occur.
Growth Empirics Without Parameters
Year: 2012

Recent research on growth empirics has focused on resolving model and variable uncertainty. The conventional approach has been to assume a linear growth process and then to proceed with investigating the relevant variables that determine cross country growth. This article questions the linearity assumption underlying the vast majority of such research and uses recently developed non parametric techniques to handle non linearities as well as select relevant variables. We show that inclusion of non linearities is necessary for determining the empirically relevant variables and uncovering key mechanisms of the growth process.
Evidence of Earthquake Triggering by the Solid Earth Tides
Year: 2008

article i nfo Clearevidence forearthquake triggeringbythe earth tides hasremained elusive for morethan a century.Using the largest global earthquake catalog available (the NEIC catalog with 442412 events) we observe a clear correlation (with ~99% confidence) between the phase of the solid Earth tide and the timing of seismic events: earthquakes occur slightly more often at the time of ground uplift by the Earth tide, i.e. when normal stresses are reduced within the lithosphere. We observe that this phase distribution anomaly is larger for smaller and shallowerearthquakes.Although earthquakes inregionswithdominantlynormalandstrike slip faulting seem to exhibit more tidal triggering than regions dominated by thrust faulting, there is no statistically significant evidence for a focal mechanism dependence on earthquake triggering. Finally, we show here that it is highly probablethat the observedtriggeringiscaused bythe solid Earth tide, ratherthan byloading fromthe oceanor atmospheric tides. Although an additional impact due to loading from ocean tides is possible and probable, we cannot detect it here because the earthquake database is not sufficiently complete and homogeneous (more smallmagnitudeearthquakesinoceanicareasareneeded).Ourresultsareconsistentwiththeideaofadamped