nils-herrmann/clean_scirepeval huggingface dataset:
Exact quasi optical theory of self diffraction, finite waist focusing and reflection of matter wave trajectories
Year: 2016

Standard Quantum Mechanics (SQM) is the most widely accepted "route" starting from the common "main road" provided by de Broglie's and Schrodinger's discovery of matter waves and of their eigen functions and eigen values. Another "route" is offered by Bohm's Mechanics, able to reproduce the same results of SQM, while interpreting the streamlines of probability current density as a set of "quantum trajectories" We exploit here a further and somewhat different "route" based on the fact that the stationary Schrodinger equation (as well as any other Helmholtz like equation) may be treated, bypassing any kind of quasi optical approximation, in terms of exact trajectories, coupled and guided by a stationary, energy dependent function (which we call "Wave Potential" encoded in the structure itself of Helmholtz like equations and acting normally to the relevant particle momentum. The basic property of the Wave Potential is therefore to leave the particle energy unchanged: a property which cannot be shared (in spite of its formal analogy) by the time dependent "Quantum Potential" of the Bohmian theory, involving the entire spectrum of possible eigen energies. This property turns out to allow the numerical computation of the particle trajectories in stationary external force fields, and to show that all diffractive processes consist of energy preserving exchanges between the longitudinal and transverse momentum components of each single particle. We compute and discuss the trajectories of particles moving, under the guiding rule of the Wave Potential, in many different force fields, such as a constant field and the ones due to a potential barrier, a potential step and a focalizing potential, respectively. The very existence of these exact, point particle, trajectory based solutions appears to reserve the uncertainty relations to wave packet particle representations.
La importancia de las habilidades blandas en un asesor de imagen
Year: 2020

espanolLas habilidades blandas son las competencias que una persona debe poseer y que le permiten relacionarse con otras de manera efectiva, ya sea en el trabajo, socialmente y en el dia a dia. Principalmente estas tienen que ver con las habilidades de comunicacion y de relacion con las otras personas a traves de un trabajo en equipo, adoptando actitudes proactivas que permitan generar nuevas ideas, para que asi la organizacion crezca. En este trabajo veremos de que forma son claves e impactan en forma directa sobre la conformacion de la Imagen Personal. EnglishSoft skills are the skills that a person must possess and that allow him to relate to others effectively, whether at work, socially and on a day to day basis. Mainly these have to do with communication skills and relationship with other people through teamwork, adopting proactive attitudes that generate new ideas, so that the organization grows. In this work we will see how they are key and impact directly on the conformation of the Personal Image.
A video object tracking algorithm combined Kalman filter and adaptive least squares under occlusion
Venue: 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP BMEI)
Year: 2016

Object occlusion is widespread in video surveillance due to the influence of angle and environment, which brings a great impact on the target tracking and makes the development of video object tracking encountered meeting many constraints. The challenge in video object tracking is how to track accurately when the target is obscured. We use the frame difference method to detect the target and smooth the target trajectory by using Kalman filter. When the target is occluded, we can select the appropriate fitting section after smoothing trajectories and use the least square method to fit the target motion path adaptively, so we can predict the object location. By comparing the experimental results with the actual motion of the target, it shows that the algorithm can be used to track most of the occlusion targets precisely.
Effect of Political Capital on Socioeconomic Attainment in China Evidence from China Family Panel Studies
Year: 2019

Previous studies within the market transition debate find evidence both consistent and inconsistent with the predictions of Nee's market transition theory: evidence of both increasing return to human capital and persistent return to political capital after the market transition in China. The inconsistency between the findings and the theory can be reconciled by the changing selection mechanism of party members of the Chinese Communist Party, which increasingly emphasizes the human capital of candidates. This study explores the extent to which education and cognitive skill, representing different aspects of the human capital embedded in the selection mechanism of party members, account for the contribution of party membership to income and housing space in China and the relative effects of the two human capital measures.  Both education and cognitive skill to a large extent account for the contribution of party membership to income and housing space. The effects of both human capital measures are stronger in rural areas than in urban areas. 2. Education in general has larger effect, but cognitive skill has larger effect on accounting for party membership's contribution to rural income. 3. Controlling for marketization level considerably lessens the degree to which both human capital measures account for the contribution of party membership. These findings provide support for the market transition theory with data three decades after the transition and help to illuminate the effect of cognitive skill on the socioeconomic attainments of Chinese adults.  Nee's market transition theory predicts that China's market transition will result in a decreasing role of political capital and increasing importance of human capital in processes of socioeconomic attainment (Nee 1989) This theory has stimulated a large volume of studies, but the empirical findings from those studies have been mixed (Bian 2002; Keister and Borelli 2012) Researchers found evidence of increasing return to human capital as well as evidence of a persistent role of political capital in socioeconomic attainment determination after the market reform in China. These mixed findings may be reconciled by the changing selection mechanism of communist party members in China that increasingly emphasizes the human capital of candidates as a criterion for being a party member (Walder 1995; Bian, Shu, and Logan 2001; Appleton et al. 2009) Some studies suggest that in addition to education, cognitive skill is part of the human capital associated with higher probability of being a party member after the market reform (Xie and Hannum 1996; Gerber 2000; Gerber 2001; Huang, Xie, and Xu 2015) If human capital is part of the credentials for being a party member, then party membership does not only
Entanglement of perception and reasoning in the combinatorial game of chess: Differential errors of strategic reconstruction
Venue: Cognitive Systems Research
Year: 2012

We question Chase and Simon's (1973) study concerning the content of the chess chunks, and we conduct a new variation of the classic chess reconstruction experiments, analyzing 25 types of possible reconstruction errors of grandmasters, masters, and beginners. The differences between the errors conducted in poor, intermediate, and strategically perfect reconstructions provide insights concerning the encoding of experts. The results obtained shed clear light into the debate concerning the importance of abstract thought (i.e. forward search) vs. perceptual processes (i.e. pattern recognition) We claim that a clear solution to this debate is ultimately unfeasible, as our experiments demonstrate high entanglement of perception and reasoning. Our results provide additional evidence that analogy is central to strategic thought in chess.
Wireless Network Enabled Rice Black Bug Traps with Meteorological Wind Sensory System and Intelligent Trap Distance Detection using IoT Technology
Venue: Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference
Year: 2019

Rice black bug is one of the most difficult pest to manage. Massive infestations of the rice black bugs were recorded across the world including the Philippines, devastating thousands of hectares of rice field and agricultural lands. In a local communal rice field in the Philippines, farmers are using light trap in adjacent rice fields to control infestation as alternative to pesticides. According to the farmers, having multiple traps in the rice field can help in having better rice black bug catch index. Researches suggests that multiple light traps should have proper distance from each other to avoid light interference for proper bug attraction. However, it is known in the studies that increases in light trap catches have also been shown to be associated with changes in wind direction especially for weak flier insects including Rice Black Bug This study aims to develop a system with two (2) wirelessly networked portable light traps that can be deployed in a vast rice field area. Light traps communicate with each other by identifying the proper distance, and constantly checks the wind direction that will allow farmers to relocate the traps in the rice field for better catch. A mobile application was developed to monitor distance, wind direction, and black bug catch that notifies farmers of suggestions to properly locate or place the light trap in the rice field. Actual tests were performed in a communal rice field during on set and off set of full moon cycle. Results show better patterns of rice black bug catch when traps were place in proper distance and facing the right wind direction.
Sustainable Diets and Biodiversity: Directions and Solutions for Policy, Research and Action. International Scientific Symposium, Biodiversity and Sustainable Diets United Against Hunger, FAO Headquarters, Rome, Italy, 3 5 November 2010.
Year: 2012

It is time to face the evidence of a worldwide unsustainable food system. Its complexity makes it extremely fragile to any climatic, socio economic, political or financial crisis. Thus, we urgently need appropriate understanding and new strategies to really accommodate present and future population needs and well being. In that context, we need sustainable diets, with low input, local and seasonal agro ecological food productions as well as shortdistance production consumption nets for fair trade. Cultural heritage, food quality and culinary skills are other key aspects determining sustainable dietary patterns and food security. Nutrition education about appropriate food choices remains essential everywhere. It thus appears very urgent to profoundly change our food strategy and to promote fair, culturally appropriated, biodiversity based, ecofriendly, sustainable diets. Authorities should urgently assume their responsibilities by orienting and supporting the appropriate and sustainable foodstuff productions and consumptions in all parts of the world.
Ultra thin and flexible endoscopy probe for optical coherence tomography based on stepwise transitional core fiber.
Venue: Biomedical optics express
Year: 2015

We present an ultra thin fiber body endoscopy probe for optical coherence tomography (OCT) which is based on a stepwise transitional core (STC) fiber. In a minimalistic design, our probe was made of spliced specialty fibers that could be directly used for beam probing optics without using a lens. In our probe, the OCT light delivered through a single mode fiber was efficiently expanded to a large mode field of 24 mm diameter for a low beam divergence. The size of our probe was 85 mm in the probe's diameter while operated in a 160 mm thick protective tubing. Through theoretical and experimental analyses, our probe was found to exhibit various attractive features in terms of compactness, flexibility and reliability along with its excellent fabrication simplicity.
Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality
Venue: Automation in Construction
Year: 2019

The optimization of the information flow from the initial design and through the several production stages plays a critical role in ensuring product quality while also reducing the manufacturing costs. As such, in this article we present a cooperative welding cell for structural steel fabrication that is capable of leveraging the Building Information Modeling (BIM) standards to automatically orchestrate the necessary tasks to be allocated to a human operator and a welding robot moving on a linear track. We propose a spatial augmented reality system that projects alignment information into the environment for helping the operator tack weld the beam attachments that will be later on seam welded by the industrial robot. This way we ensure maximum flexibility during the beam assembly stage while also improving the overall productivity and product quality since the operator no longer needs to rely on error prone measurement procedures and he receives his tasks through an immersive interface, relieving him from the burden of analyzing complex manufacturing design specifications. Moreover, no expert robotics knowledge is required to operate our welding cell because all the necessary information is extracted from the Industry Foundation Classes (IFC) namely the CAD models and welding sections, allowing our 3D beam perception systems to correct placement errors or beam bending, which coupled with our motion planning and welding pose optimization system ensures that the robot performs its tasks without collisions and as efficiently as possible while maximizing the welding quality.
Effect of bovine lactoferrin as a novel therapeutic agent in a rat model of sepsis induced acute lung injury
Venue: AMB Express
Year: 2019

Sepsis is a serious clinical condition resulting from severe infection. High rates of mortality and tissue damage have been reported in intensive care unit (ICU) patients with sepsis. Bovine lactoferrin (BLF) is a well known 80 kDa glycoprotein in the transferrin family that inhibits sepsis in low birth weight neonates. The present study investigated the protective effects of BLF in a rat model of sepsis induced acute lung injury (ALI) The wet/dry ratio, lipid peroxidation, antioxidant markers, total protein, total cell count, inflammatory markers and myeloperoxidase (MPO) levels were assessed. Histopathological analysis was also carried out. BLF treatment reduced the wet/dry ratio of lung tissue by 30.7% and 61.3% and lipid peroxidation by 22.3% and 67% at concentrations of 100 and 200 mg/kg, respectively. Superoxide dismutase (SOD) reduced glutathione (GSH) glutathione peroxidase (Gpx) and catalase were increased by more than 50% under treatment with 200 mg/kg BLF. Inflammatory markers, neutrophils, lymphocytes and total cell count were reduced by more than 50% under treatment with 200 mg/kg BLF. BLF treatment significantly reduced MPO activity, by 28.2% and 74.3% at concentrations of 100 and 200 mg/kg, respectively. Neutrophilic infiltration and edema were observed in control rats. However, BLF treatment restored intestinal microvilli to the normal range and reduced inflammatory cell invasion. Collectively, these results suggest that BLF is an effective therapeutic agent against sepsis induced ALI.
Navigated TMS in the ICU: Introducing Motor Mapping to the Critical Care Setting
Venue: Brain sciences
Year: 2020

Navigated transcranial magnetic stimulation (nTMS) is a modality for noninvasive cortical mapping. Specifically, nTMS motor mapping is an objective measure of motor function, offering quantitative diagnostic information regardless of subject cooperation or consciousness. Thus far, it has mostly been restricted to the outpatient setting. This study evaluates the feasibility of nTMS motor mapping in the intensive care unit (ICU) setting and solves the challenges encountered in this special environment. We compared neuronavigation based on computed tomography (CT) and magnetic resonance imaging (MRI) We performed motor mappings in neurocritical patients under varying conditions (e.g. sedation or hemicraniectomy) Furthermore, we identified ways of minimizing electromyography (EMG) noise in the interference rich ICU environment. Motor mapping was performed in 21 patients (six females, median age: 69 years) In 18 patients, motor evoked potentials (MEPs) were obtained. In three patients, MEPs could not be evoked. No adverse reactions occurred. We found CT to offer a comparable neuronavigation to MRI (CT maximum e field 52 14 V/m vs. MRI maximum e field 52 11 V/m; p 0.6574) We detailed EMG noise reduction methods and found that propofol sedation of up to 80 mcg/kg/h did not inhibit MEPs. Yet, nTMS equipment interfered with exposed pulse oximetry. nTMS motor mapping application and use was illustrated in three clinical cases. In conclusion, we present an approach for the safe and reliable use of nTMS motor mapping in the ICU setting and outline possible benefits. Our findings support further studies regarding the clinical value of nTMS in critical care settings.
Thematic and Episodic Framing of Depression: How Chinese and American Newspapers Framed a Major Public Health Threat
Year: 2017

Given the health threat of depression in China and the US, as well as the importance of media framing for public understanding of the issue, this paper comparatively analyzed how Chinese and American newspapers thematically and episodically framed depression from 2000 to 2012. Grounded in the theoretical framework of frame building, we also attempted to shed light on how cultural values and organizational constraints influenced the ways in which media framed depression. Results showed that Chinese newspapers framed depression more thematically than American newspapers. American newspapers of national influence used more thematic framing than newspapers of regional/local influence. Despite an overall tendency of thematic framing, Chinese newspaper framing of depression became increasingly episodic over time. Implications for framing research and mental health communication are discussed.
What could make a difference to the mental health of UK doctors?A review of the research evidence
Year: 2018

A new study commissioned and funded by the Louise Tebboth Foundation has revealed that UK doctors are at greater risk of work related stress, burnout and depression and anxiety than the general population. The incidence of suicide, especially among women doctors and for GPs and trainees, is also comparatively high. The report, entitled 'What could make a difference to the mental health of UK doctors? and published in conjunction with the Society for Occupational Medicine, finds that the incidence of mental health problems among doctors is increasing alongside the growing demands and diminishing resources experienced in the healthcare sector. GPs, trainee and junior doctors appear to be particularly vulnerable, experiencing distress and burnout early in their career. The stigma associated with disclosing mental health problems and 'a failure to cope' revealed in the report mean that many doctors are reluctant to seek help as they fear sanctions and even job loss. The report, carried out by Professor Gail Kinman of the University of Bedfordshire and Dr Kevin Teoh of Birkbeck University of London, reviewed research on the mental health of doctors, the factors that increased the risk of poor mental health, and the implications for their own wellbeing and that of their patients. The findings of our report are alarming. The poor mental health evident among UK doctors and the implications for themselves and their patients should be of grave concern to all healthcare stakeholders. Action is urgently required to address a working environment that can be toxic to health." Dr Teoh added: "It is crucial to provide doctors with more support from recruitment to retirement and develop a culture that challenges the mental health stigma and encourages help seeking." Dr Alex Freeman, the LTF Chair, said: "This report should be of interest to policy makers, employers, and others who have a responsibility for doctors' mental health. Whilst initiatives to treat and support doctors who are struggling are to be welcomed, what is needed is to develop a healthy working environment. Prevention should be taken seriously, at all stages of a doctor's career. The level of suicide in the profession is of major concern, and support for the bereaved workplace affected by such suicides is lacking. The concerns identified in the report must be taken seriously. For this reason we welcome the announcement made yesterday by NHS chief Simon Stevens that there will be national funding for a new mental health support scheme which will cover all doctors working in the NHS. The scheme will cover approximately 110,000 more doctors in addition to those already supported.
Improving the Robustness and Accuracy of Crime Prediction with the Self Exciting Point Process Through Isotropic Triggering
Year: 2019

The self exciting point process (SEPP) is a model of the spread of crime in space and time, incorporating background and triggering processes. It shows promising predictive performance and forms the basis of a popular commercial software package, however few detailed case studies describing the application of the SEPP to crime data exist in the scientific literature. Using open crime data from the City of Chicago, USA, we apply the SEPP to crime prediction of assaults and burglaries in nine distinct geographical regions of the city. The results indicate that the algorithm is not robust to certain features of the data, generating unrealistic triggering functions in various cases. A simulation study is used to demonstrate that this outcome is associated with a reduction in predictive accuracy. Analysing the second order spatial properties of the data demonstrates that the failures in the algorithm are correlated with anisotropy. A modified version of the SEPP model is developed in which triggering is non directional. We show that this provides improved robustness, both in terms of the triggering structure and the predictive accuracy.
Rethinking Adaptive Computing: Building a Unified Model Complexity Reduction Framework With Adversarial Robustness.
Venue: IEEE transactions on neural networks and learning systems
Year: 2021

Adaptive computing (AC) is a technique to dynamically select the layers to pass in a prespecified deep neural network (DNN) according to the input samples. In previous literature, AC was deemed as a standalone complexity reduction skill. This brief studies AC through a different lens: we investigate how this strategy interacts with mainstream compression techniques in a unified complexity reduction framework and whether its `input sample related' feature helps with the improvement of model robustness. Following this direction, we first propose a defensive accelerating branch (DAB) based on the AC strategy that can reduce the average computational cost and inference time of DNNs with higher accuracy compared with its counterparts. Then, the proposed DAB is jointly applied with the mainstream parameterwise compression skills, pruning and quantization, to build a unified complexity reduction framework. Extensive experiments are conducted, and the results reveal quasi orthogonality between the input related and parameterwise complexity reduction skills, which means that the proposed AC can be integrated into an off the shelf compressed model without hurting its accuracy. Besides, the robustness of the proposed compression framework is explored, and the experimental results demonstrate that DAB can be used as both the detector and the defensive tool when the model is under adversarial attacks. All these findings shed light on the great potential of DAB in building a unified complexity reduction framework with both a high compression ratio and great adversarial robustness.