jimnoneill/paper-to-field-training huggingface dataset:
A study on new nursing information accessibility mechanism using the digital broadcasting network.

Field: Health Professions (Health Sciences)

There have been efforts to add an interoperability function to TV systems. The digital technology has changed all our lifestyles. Now TV systems do indeed have interoperability functions. However, this means more than interoperable TV. It announces the birth of a digital broadcasting network (one-source and many-destination digital communication mechanism)--the new digital communication network as a broadcasting style. As a viewpoint of nursing informatics, this mechanism provides a new accessibility mechanism to structured and interoperable data. This paper introduces the technology and the basic scenarios on the data accessibility mechanism using the digital broadcasting network.
A Penny Is Worth a Thousand? Investigating the Relationship Between Social Media and Penny Stocks

Field: Economics, Econometrics and Finance (Social Sciences)

Increasingly more investors are seeking information from social media to help make investment decisions. Considering that information on penny stocks is often less reported in traditional media, investors may rely more on social media to obtain such information for investment advice. Although previous research has shown that stock opinions in traditional media is a possible predictor of stock returns, no previous research has considered the effect of the stock opinions in social media on these stocks in terms of future stock performance and the moderation effect of penny stocks. In this research, we studied the relationship between social media and the financial performance of penny stocks. We used the net proportion of positive words in stock articles in social media to help predict the future stock performance for penny stocks. The moderation effect of penny stocks on the net fraction of positive words was found to be significant in short terms, revealing a stronger relationship between social media and stock performance at lower price and market capitalization (MC) levels. Based on the findings, we proposed simple strategies utilizing social media and our measure. The results of our applications will be of interest to individual and institutional investors, shareholders, and regulators.
Mote / FWC - FWRI cooperative red tide research program : monitoring, prediction and mitigation of Florida red tides. Second progress report FY - 2008 to 2009, for period October 1 to December 31, 2008. Project period July 1, 2008 to June 30, 2009.

Field: Environmental Science (Physical Sciences)

337 p. pdf, divided into 7 separate pdfs. Includes table of contents, bibliographic references, appendices, maps, charts, tables and illus.
Additional file 2: of Comparative proteomic analysis reveals a dynamic pollen plasma membrane protein map and the membrane landscape of receptor-like kinases and transporters important for pollen tube growth and interaction with pistils in rice

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Separation of iTRAQ-labeled peptides through SCX chromatography. The peptides from experiments 1 and 2 were fractionized by strong cation exchange chromatography (SCX) independently. After eluted by ammonium chloride, both of them were recombined into 16 fractions according to the 214Â nm UV absorbance signal. (PDF 2055 kb)
Fabrication of Magnetically Driven Helical Micro/nanoscale Motors and Their Functionalization for Targeted Drug Delivery

Field: Materials Science (Physical Sciences)

Abstract With the development and progress of nanotechnology, major advances have been achieved in the micro/nanoscale motors field. Compared with tubular, wire, and sphere nanomotors, magnetically driven helical micro/nanoscale motors show broad prospects of future biomedical applications, especially in targeted drug delivery, due to their excellent movement performance in low Reynolds numbers fluids. In recent years, many fabrication methods of helical micro‐nano motors have been reported. This review set out to provide a summary of the fabrication of helical micro/nanoscale motors. In addition, the design strategies and further functionalization to achieve targeted drug delivery will be introduced as well. With this, we hope to spur further development of novel helical micro/nanomotors and speed up their clinical translation.
Traffic States Detection based on Block Matching

Field: Computer Science (Physical Sciences)

A traffic states detection method is proposed to represent the road traffic conditions accurately and reduce labor intensive monitoring work in this paper.The edge of image, which is named as edge characteristic, is applied to describe the number of vehicles running on the road, and the average density of vehicle edge pixels is used to substitute the road occupation ratio.Meanwhile block matching method is used for estimating the speed of traffic flow.According the extracted feature parameters, a classifier is designed to classify the traffic states in three categories (congested, slow, and smooth).The experimental results showed the proposed algorithm is robust.
Reflectivity properties of graphene with nonzero mass-gap parameter

Field: Physics and Astronomy (Physical Sciences)

The reflectivity properties of graphene with nonzero mass-gap parameter are investigated in the framework of Dirac model using the polarization tensor in (2+1)-dimensional space-time. For this purpose, a more simple explicit representation for the polarization tensor along the real frequency axis is found. The approximate analytic expressions for the polarization tensor and for the reflectivities of graphene are obtained in different frequency regions at any temperature. We show that the nonzero mass-gap parameter has a profound effect on the reflectivity of graphene. Specifically, at zero temperature the reflectivity of gapped graphene goes to zero with vanishing frequency. At nonzero temperature the same reflectivities are equal to unity at zero frequency. We also find the resonance behavior of the reflectivities of gapped graphene at both zero and nonzero temperature at the border frequency determined by the width of the gap. At nonzero temperature the reflectifities of graphene drop to zero in the vicinity of some frequency smaller than the border frequency. Our analytic results are accompanied with numerical computations performed over a wide frequency region. The developed formalism can be used in devising nanoscale optical detectors, optoelectronic switches and in other optical applications of graphene.
Effect of Some Organic Insecticides on the Population Levels of the Serpentine Leaf Miner and Its Parasites1

Field: Agricultural and Biological Sciences (Life Sciences)

Journal Article Effect of Some Organic Insecticides on the Population Levels of the Serpentine Leaf Miner and Its Parasites Get access George P. Wene George P. Wene Texas Agricultural Experiment Station, Weslaco Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Economic Entomology, Volume 48, Issue 5, 1 October 1955, Pages 596–597, https://doi.org/10.1093/jee/48.5.596 Published: 01 October 1955
Dissipation‐induced subcritical flutter in the acoustics of friction

Field: Physics and Astronomy (Physical Sciences)

Abstract We consider a gyroscopic system under the action of small dissipative and non–conservative positional forces, which has its origin in the models of rotating elastic bodies of revolution in frictional contact such as the singing wine glass or the squealing disc/drum brakes. The spectrum of the unperturbed gyroscopic system forms a spectral mesh in the plane ‘frequency versus gyroscopic parameter’ with double semi–simple purely imaginary eigenvalues at the nodes. In the subcritical range of the gyroscopic parameter the eigenvalues involved into the crossings have the same Krein signature and thus their splitting due to changes in the stiffness matrix, which break the rotational symmetry of the body, cannot produce complex eigenvalues and, therefore, flutter. We establish that perturbation of the gyroscopic system by the dissipative forces with the indefinite matrix can lead to the subcritical flutter instability even if the rotational symmetry is destroyed. With the use of the perturbation theory of multiple eigenvalues we explicitly find the linear approximation to the domain of the subcritical flutter, which turns out to have a conical shape. The orientation of the cone in the three dimensional space of the parameters, corresponding to gyroscopic, damping, and potential forces, is determined by the sign of an explicit expression involving the entries of both the damping and potential matrices. With the use of a time–dependent coordinate transformation we demonstrate that the conical zones of flutter for the original autonomous system coincide with the zones of the subcritical parametric resonance of the rotationally symmetric flexible body with the load moving in the circumferential direction. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Monitoring of LISS Nozzle Proximity to CANDU® Fuel Channels Using the Eddy Current Gap Probe

Field: Engineering (Physical Sciences)

Fuel channels in CANDU ® (CANadian Deuterium Uranium) nuclear reactors consist of two non-concentric tubes; an inner pressure tube (PT) and a larger diameter calandria tube (CT). The gas annulus space between the 6 m long tubes, known as the gap, is monitored from within the PT using a transmit-receive eddy current probe that can detect changes in the environment using electromagnetic induction according to Faraday's Law. Accurate measurements are required to ensure that contact between PT and CT is not imminent. Fuel channels may also pass over perpendicularly oriented tubes (nozzles) that are part of the liquid injection shutdown system (LISS). The proximity of LISS nozzles not only compromises gap measurement, but flow-induced vibrations from within the moderator could lead to CT deformation and/or fretting at LISS-CT contact. Investigation of the eddy current based gap probe as a tool to measure proximity of LISS nozzles was carried out experimentally. Eddy current response as a function of LISS-PT proximity, the distance between the PT outer diameter and LISS nozzle outer diameter, was determined. When PT wall thickness, PT resistivity, probe lift-off, and PT-CT gap variations spanned typical values found in-reactor this dependence could be used to determine the LISS-PT proximity up to 20 mm with sub-millimeter accuracy. This method has the potential to provide LISS-CT proximity using existing gap measurement data. Obtaining LISS nozzle proximity at multiple inspection intervals could be used to provide an estimate of the time to LISS-CT contact, and thereby, provide a means of optimizing maintenance schedules.
Social and Ecological Impacts of Fire to Coastal Fisheries: A Study of the Kenai River Fishery (Alaska, USA)

Field: Environmental Science (Physical Sciences)

Abstract In a rapidly changing environment where fires are becoming more frequent and severe, scientists and managers need information and tools to enhance understanding of the numerous ways in which fire can affect fisheries. We used Ostrom's social–ecological systems framework to structure the development and refinement of fuzzy cognitive maps with stakeholders across the Kenai River fishery in Alaska, USA. The process yielded a model characterizing the structure and function of the Kenai River fishery. The model was then used to guide interviews with stakeholders focused on the effects of the 2019 Swan Lake Fire. We identified seven direct pathways through which fire can affect the social and ecological components of a coastal fishery. We also used the model to guide a targeted literature review to further explore how fire can affect the components of the Kenai River fishery. This synthesis of information allowed us to develop a more complete understanding of the impacts of fire on the fishery—an understanding informed by input from local stakeholders (via our interviews) and relevant scientific and management literature (via our literature review). Lastly, we used the model to assess the fishery's vulnerability to fire. We discuss how early run Chinook Salmon Oncorhynchus tshawytscha constitute a highly vulnerable component of the system and have the greatest potential to impact the fishery as a whole through a chain of negative social and ecological interactions. This final step illustrates how the model can be used to assess the vulnerability of system components to specific threats. The model of the Kenai River fishery provides an empirically grounded and easily understood visual representation of the complex dynamics affecting coastal fisheries. As such, it can be used to structure discussions among managers and stakeholders, organize our understanding of how fire affects fisheries, and assess vulnerabilities to endogenous and exogenous stressors.
IOT APPLICATIONS FOR CONTROLLING WIDESPREAD PANDEMIC DISEASE

Field: Engineering (Physical Sciences)

In the wake of current disease outbreak across the world researchers, activists, health care professionals, government authorities and essential departments are working together to find an optimum solutions to get rid of the disease at the earliest. The purpose of this research paper is to find an optimum solution by ways of integrating systems which can monitor health of an individual as well as sanitize the hand at the entrance of the organization. To execute the design different types of sensors are used along with controller and internet of things (IoT) to detect, control, monitor and exchange data. The integrated system consists of health monitoring system to detect heart rate functionality using pulse sensor, MLX90614 sensor is used to measure body temperature along with it touch less hand-sanitizer using pir motion sensor.
A Prediction Method of Protein Disulfide Bond Based on Hybrid Strategy

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

A prediction method of protein disulfide bond based on support vector machine and sample selection is proposed in this paper. First, the protein sequences selected are en-coded according to a certain encoding, input data for the prediction model of protein disulfide bond is generated; Then sample selection technique is used to select a portion of input data as training samples of support vector machine; finally the prediction model training samples trained is used to predict protein disulfide bond. The result of simulation experiment shows that the prediction model based on support vector ma-chine and sample selection can increase the prediction accuracy of protein disulfide bond.
A model for equilibrium swelling of the upper critical solution temperature type thermoresponsive hydrogels

Field: Chemical Engineering (Physical Sciences)

Abstract Thermoresponsive gels of the upper critical solution temperature (UCST) type shrink below their critical temperature and swell above it. Changes in water uptake by these gels are driven by thermally induced dissociation of hydrogen or ionic bonds between chains. A simple model is developed for the description of the equilibrium swelling of thermophilic gels with hydrogen bonds. To confirm its ability to describe observations, equilibrium swelling diagrams are fitted on poly(acrylamide‐acrylic acid) and poly(acrylamide‐acrylonitrile) macroscopic gels and microgels with various structures (copolymer gels, gels with interpenetrating networks, nanocomposite gels), as well as on biocompatible poly( N ‐acryloyl‐glycinamide) and poly(allylurea‐ co ‐allylamine) gels. Numerical simulation reveals that material parameters evolve consistently with molar fractions of crosslinker, hydrophobic and hydrophilic comonomers in the feed, degree of ionization of functional groups, and concentration of nanofiller. It is shown that the model can also be applied to describe observations on thermophilic zwitterionic gels. © 2021 Society of Industrial Chemistry.
A Descriptive Study on Bone Mineral Density and Breast Density among Malaysian Women with BI-RADS 3, 4 and 5

Field: Medicine (Health Sciences)

Introduction: Mammographic breast density is a well-known risk factor of breast cancer determined by the physiological hormonal changes in a woman. Similar to bone mineral density that affected by the mentioned factor. Method: This descriptive study was conducted on 25 women above 40 years old using total sampling method in Radiology Department, General Hospital Kuala Lumpur in 2016. It was to determine the pattern of breast density and bone mineral density in Malaysian women with mammogram Breast Imaging-Reporting and Data System (BI-RADS) 3, 4 and 5. Women who have had commenced cancer treatment and women with mastectomy were excluded. Assessment of breast density was performed using BI-RADS classification whistle bone mineral density was measured using DEXA of the lumbar spine and femoral neck based. Results: A total of 64% of the respondents were Malay followed by Indian and Chinese with 28% and 8% respectively. A total of 24% of women aged between 40 to 50 years old were diagnosed with BI-RADS 3, 4 and 5 whilst 76% of women aged above 50 years old. BI-RADS B (scattered fibroglandular) breast density was observed in 12 (48%) women, BI-RADS C (heterogeneously dense) in 5 (20%) women and BI-RADS D (extremely dense) in 2 (8%) women. A total of 19 (76%) of women with normal BMD category with t-score ≥ 1 SD. Majority (40%) of women with normal BMD has BI-RADS B breast density, women with osteopenia is highest (12%) among women with BI-RADS C breast density. Conclusion: There is a pattern of women with BI-RADS B breast density was diagnosed with BI-RADS 3, 4 and 5 above 50 years; nevertheless with normal bone classification.
Human Resource Management

Field: Business, Management and Accounting (Social Sciences)

This chapter explores the multifaceted landscape of governance policies within international human resources (HR). It suggests six pivotal dimensions that shape effective governance strategies in multinational corporations. Firstly, it examines the dynamics of inter-company relationships in knowledge creation and dissemination, emphasising collaborative mechanisms. Secondly, it analyses international assignment policies, evaluating their impact on talent retention and global mobility. Thirdly, it addresses the challenges stemming from cultural backgrounds of staff, highlighting strategies to navigate diverse cultural landscapes. Fourthly, it studies the management of international assignments and the criteria for selecting adept global managers. Fifthly, it investigates local staff reactions, emphasising the phenomenon of opposite ethnocentrism and strategies to mitigate its effects. Finally, it assesses the design of HR management systems tailored for global contexts.
Human immunodeficiency virus type 1 Tat protein protects lymphoid, epithelial, and neuronal cell lines from death by apoptosis.

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

We report here that the tat gene product of human immunodeficiency virus type 1 was able to protect lymphoblastoid (Jurkat), epithelial (293) and neuronal (PC12) cell lines from apoptotic death induced by serum withdrawal. The rescue from apoptosis by Tat was reflected by an increased expression of Bcl-2 protein in tat-positive Jurkat cells with respect to mock-transfected Jurkat cells after 3-6 days of serum-free cultures. We propose that the ability of the regulatory human immunodeficiency virus type 1 Tat protein to suppress apoptosis might have important implications in understanding the pathogenesis of frequent neoplastic disorders observed in human immunodeficiency virus type 1-seropositive individuals.
Robotic weed control using machine vision

Field: Engineering (Physical Sciences)

The purpose of this work is to present a non-chemical weed controller for vegetable crops derived from a cooperative French-Spanish project. One of the major efforts of this project is related with working in a natural, complex environment and the similarity between the weeds and the vegetable crop, which makes locating the weeds difficult. The robotic arm presents a parallel structure with six degrees of freedom, and due to its light structure, it is capable of reaching high accelerations. The end-effector has an electrode powered by a set of batteries and kills the weeds by producing an electrical discharge of 15 000 V. All the subsystems of the machine communicate through a controller area network (CAN) bus. There are two vision systems mounted on the machine. The first one is placed at the front of the robot to acquire and analyse field images, in order to detect weeds and send their coordinates to the robotic arm control. The second camera is placed close to the electrode, and its mission is to correct inertial perturbations by relocating every individual weed detected by the first vision system. The successful performance of this new concept of precise non-chemical weeding has been demonstrated in a lettuce crop in Valencia, Spain. (C) 2001 Silsoe Research Institute. Published by Elsevier Science Ltd. All rights reserved.
A\nData-Driven Platform for Two-Dimensional Hybrid\nLead-Halide Perovskites

Field: Materials Science (Physical Sciences)

The\nexceptional properties of two-dimensional hybrid organic–inorganic\nlead-halide perovskites (2D HOIPs) have led to a rapid increase in\nthe number of low-dimensional materials for optoelectronic engineering\nand solar energy conversion. The flexibility and controllability of\n2D HOIPs create a vast structural space, which presents an urgent\nissue to effectively explore 2D HOIPs with better performance for\npractical applications. However, the traditional RP-DJ classification\nmethod falls short in describing the influence of structure on the\nelectronic properties of 2D HOIPs. To overcome this limitation, we\nemployed inorganic structure factors (SF) as a classification descriptor,\nwhich considers the influence of inorganic layer distortion of 2D\nHOIPs. And we investigated the relationship between SF, other physicochemical\nfeatures, and band gaps of 2D HOIPs. By using this structural descriptor\nas a feature for a machine learning model, a database of 304920 2D\nHOIPs and their structural and electronic properties was generated.\nA large number of previously neglected 2D HOIPs were discovered. With\nthe establishment of this database, experimental data and machine\nlearning methods were combined to develop a 2D HOIPs exploration platform.\nThis platform integrates searching, download, analysis, and online\nprediction, providing a useful tool for the further discovery of 2D\nHOIPs.
[New aspects in the therapy of thrombosis and prevention of recurrence in pregnancy].

Field: Medicine (Health Sciences)

Therapy of phlebothrombosis during pregnancy general is carried out with heparin, in which case the initial hospital treatment may be continued later on with subcutaneous applications of heparin in the out-patient department. Regular clinical and apparative controls are performed during pregnancy within. Low dose heparin is injected up to the optimal dicumarol blood level (beginning with the 2nd day post partum) immediately pre-, intra- and postpartelly. - Coagulation analyses in 11 patients with former phlebothrombosis during pregnancy revealed no antithrombin III-deficiency, but hints to insufficient fibrinolysis in four cases.