jimnoneill/paper-to-field-training huggingface dataset:
Spin reorientation studies in cubic Laves rare-earth iron compounds

Field: Physics and Astronomy (Physical Sciences)

Several types of spin reorientation occur in HoxEr1−xFe2, particularly that from the [110] toward the [100] direction. In all cases the general behavior of the hyperfine fields at the inequivalent iron sites is is well accounted for by magnetic dipolar contributions. Analysis of the Mössbauer spectra taken in the spin rotation temperature interval indicates that the easy axis of magnetization deviates from the axes of symmetry of the cubic system. In the [110] to [111] rotation the spin is in the (110) plane, while in the [110] to [100] transition it rotates continuously within the (001) plane.
Interfacial Superassembly of Light-Responsive Mechanism-Switchable Nanomotors with Tunable Mobility and Directionality

Field: Materials Science (Physical Sciences)

Mechanism-switchable nanomotors are expected to exhibit high adaptability and wide applicability. Herein, for the first time, we report a flask-shaped carbon@Pt@fatty-acid nanomotor with a light-induced switch between nonionic self-diffusiophoresis and bubble propulsion. This nanomotor is fabricated through superassembly of platinum nanoparticles on the surface of carbon nanobottles, and fatty acids are infused into the cavity of carbon nanobottles to serve as a light-sensitive switch. Such a nanomotor can be propelled via catalytic decomposition of H2O2 by platinum nanoparticles, exhibiting self-diffusiophoresis with opening-forward migration. Upon 980 nm laser irradiation, the fatty acids melt due to the photothermal effect and are released from the cavity, switching the dominant operational mechanism to bubble propulsion with bottom-forward migration. Compared with self-diffusiophoresis, bubble propulsion shows higher mobility and better directionality due to the hindered self-rotation. Simulation results further reveal that the confinement effect of the cavity, which facilitates the nucleation of nanobubbles, leads to the switch to bubble propulsion. This study offers an insight into the relationship between nanostructures, fundamental nanomotor operational mechanisms, and apparent propulsion performance, as well as provides a novel strategy for the regulation of movement, which is instructive for both the design and applications of nanomotors.
Development of Methods for Forecasting Changes in the River Water Level in the Nearby Transport Infrastructure Facilities

Field: Earth and Planetary Sciences (Physical Sciences)

Dangerous hydrometeorological phenomena cause significant damage to transport infrastructure facilities, as a rule due to the factor of their suddenness and poor efficiency of preventive protection measures. The solution of such problems is the forecasting the parameters of the object state, depending on the incoming meteorological report. This paper is a continuation of the paper and it is devoted to the development of approaches to short-term forecasting of the water level impact in rivers in the nearby transport infrastructure facilities. As an object of research, the station forecourt and engineering facilities at the Rostov-Glavniy railway station of the North Caucasus Railway, located at the mouth of the Temernik River, were selected.
Cavity assisted spin reconfiguration in a quantum wire

Field: Physics and Astronomy (Physical Sciences)

In the present work, we investigate the source-drain bias spectrum of a hybrid quantum device consisting of a dot-like QPC coupled to an electronic cavity. A singlet-triplet transition manifested as finite-bias anomaly is observed when the cavity is switched on. Besides, we noticed that the 0.7 conductance anomaly is not affected by the cavity, which provides a valuable insight on the origin of the 0.7 conductance anomaly.
The Effect Of Content Quality And News Presentation Speed On Reader Satisfaction With Company Image And Reader Trust As Mediating Variables And News Reading Frequency As A Moderating Variable On The Online Media Beraupost.Jawapos.Com

Field: Business, Management and Accounting (Social Sciences)

This study is a quantitative research with a causal approach examining the relationship between content quality and news presentation speed on reader satisfaction at the online media Beraupost.com, with corporate image and reader trust as mediating variables and reading frequency as a moderating variable. The research method used is a survey with purposive sampling technique. Data were collected through questionnaires measuring readers' perceptions of content quality, news presentation speed, corporate image, and reader trust, as well as reader satisfaction. This research examines the impact of content quality, news delivery speed, corporate image, and reader trust on reader satisfaction in online media. The findings show that higher content quality and faster news delivery significantly improve corporate image and reader trust. A positive corporate image and reader trust, in turn, enhance reader satisfaction. The frequency of reading news strengthens the link between corporate image and satisfaction, while reader trust mediates the relationship between content quality and satisfaction. However, corporate image and reader trust do not significantly mediate the effect of news delivery speed on satisfaction. These results highlight the importance of content quality and timely news delivery in shaping reader perceptions and satisfaction.
'Nursing by the long stretch of the arm' : an exploration of community nursing middle managers' experiences of role enactment within Community Health Partnerships in three regions of Scotland

Field: Nursing (Health Sciences)

Aim: This thesis aimed to explore community nursing middle manager role enactment in managing change within Community Health Partnerships (CHPs) in three regions of Scotland from 2008-2011. \nBackground: \nCHPs were established to play a key role in shifting care from the acute to the community setting. Within this context the community nursing workforce has been adapting roles in response to Scottish Government (SG) directives. However literature review demonstrated there has been very little research into the role of Community Nurse Middle Managers (CNMMs) in the midst of this change. This investigation sought to address this deficit in the literature. \nDesign and Methodology: \nThe study was conducted in four distinct phases comprising of the reflexive, foundational, recursive and expansive. A total of 42 semi-structured interviews were conducted over the period of investigation. The investigation was qualitative and phenomenological in character. A hermeneutic approach was adopted, broadly based on Heideggerian philosophy. More specifically this study drew on the Interpretative Phenomenological Analysis (IPA) approach of Jonathan Smith (1996). \nMain findings: \nIn general CNMMs perceived that their jobs had become more complex, with the pace and intensity of work having increased. They held a wide range of responsibilities managing the challenges of driving change within a hierarchy and professional bureaucracy. Opportunities for education and learning were felt to have reduced. A small but significant proportion had left and some were considering leaving the NHS service. A primary motivation for CNMMs was maintaining an implicit connection with service users. They were proud to be members of the nursing profession and aligned their identity with their career history. This was perceived to influence their management and leadership style. In overcoming some of the personal challenges they faced they identified protective factors or “assets” to counteract stress. The application of a salutogenic perspective emerged as important in supporting this. \nConclusion: \nThe study has addressed a knowledge gap in literature. It contributes to understandings of NHS community nursing, middle management, role, change and Community Health Partnership literature. In particular it gives a voice to the perspectives of community nursing middle managers in Scotland. It suggests that much more attention needs to be paid to the needs, constitution and sustenance of middle managers in Scottish community nursing and that this has policy, practice, education and research implications.
Effects of intracerebroventricular administration of dopamine and metoclopramide on blood pressure in rats.

Field: Neuroscience (Life Sciences)

The intracerebroventricular (i.c.v.) injection of dopamine (50--200 micrograms/kg) produced a dose-dependent decrease in arterial blood pressure in conscious rats. This depressor effect of dopamine was attenuated by the pretreatment with metoclopramide (16.5 micrograms/kg, i.c.v.), a dopamine receptor antagonist. Metoclopramide in higher doses (50 and 150 micrograms/kg), given i.c.v., produced an increase in blood pressure. The pretreatment with dopamine (50 micrograms/kg, i.c.v.) attenuated the pressor effect of metoclopramide. Furthermore, autonomic ganglion blockade with hexamethonium (25 mg/kg, i.v.) almost completely abolished the effects of dopamine and metoclopramide, indicating that these substances were exerting their effects within the central nervous system. These results suggest that the dopaminergic system in the brain is involved in regulation of systemic blood pressure in conscious rats.
A rephasing invariant study of neutrino mixing

Field: Physics and Astronomy (Physical Sciences)

A set of renormalization group equations (RGE) for Dirac neutrinos can be derived using a rephasing invariant parametrization.Under flavor permutation, the symmetric properties of these equations further facilitate the derivation of some exact and approximate RGE invariants.We also provide a numerical example that illustrates the evolution of neutrino mixing parameters.
Testing a Model of the Extracellular Domain of Human Tissue Consistent with Fourier Transform Infrared Spectroscopy

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

Tissue Factor (TF) is a membrane-anchored cell-surface protein that in complex with the serine protease Factor VIIa initiates blood coagulation upon tissue damage. We have cloned and expressed the soluble, cytoplasmic domain of TF (residues 1-218) (sTF) for analysis of structure and function. Global secondary structural elements were determined using FTIR spectroscopy. The amide I band assignments indicated ca. 15% α-helix, 23% extended strands, the remainder being turns, loops, β-sheet, and 'other' structure. Secondary structure prediction algorithms using a knowledge-based approach that was constrained to the FTIR-determined structural elements were used to generate a working model of sTF, which was energy minimized and equilibrated at 300 K using a Kollman force field. The predictions of this model were tested by analytical ultracentrifugation, proteolytic cleavage, and absorption and fluorescence spectra of Trp→Tyr and Trp→Phe mutants of sTF.
The Two-Membrane Model of Epithelial Transport:Koefoed-Johnsen and Ussing (1958)

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

This year marks the 50th anniversary of the publication of one of the most important papers in the fi eld of epithelial transport.In 1958 Valborg Koefoed-Johnsen and Hans Ussing presented the two-membrane model (KJU model) of Na transport by the frog skin ( Koefoed-Johnsen and Ussing, 1958 ).This idea has guided thinking throughout epithelial biology for the past half century.The life and remarkable career of Ussing has been reviewed ( Larsen, 2002 ), and we will not do that in detail here.Rather, we will mark the milestone of this seminal work with a short description of its historical background and a brief discussion of its wide-ranging impact and implications.
Combination of Kohonen network model and Back-propagation neural network model to predict Biochemical oxygen demand(BOD<inf>5</inf>) removal rate of sewage resource from the horizontal subsurface flow(HSSF) constructed wetlands

Field: Environmental Science (Physical Sciences)

This study used Kohonen network model Self-Organizing Feature map(SOFM) with Principal Components Analysis(PCA) and Back-Propagation Network(BPN) to predict Biochemical oxygen demand(BOD 5 ) removal rate of water resource from the surface-flow constructed treatment wetlands at Yuli Township in Hualien County from December, 2005 to June, 2006. With this self-organizing map technology, the water quality parameters were lowered from 7-D to 2-D and during which all parameters were automatic clustered. The principal components analysis(PCA) was selected to analyze selected parameters from above typical 2-D cluster parameters. After the max variable from the above selected parameters was determine it was incorporated into a layer of BPN to continue varied processes. In short, in order to predict nitrified effluent BOD 5 removal rate precisely, all of above measurable variables need to under go the steps of (SOFM-PCA-BPN) sequentially.
Endoscopic Re-Establishment of Urethral Continuity after Traumatic Disruption of the Membranous Urethra

Field: Medicine (Health Sciences)

We report 3 cases of complete traumatic disruption of the membranous urethra treated by transurethral section of the scar tissue with transvesical endoscopic guidance and digital rectal control. Postoperatively, the patients required an average of 3 subsequent urethrotomies. They remain well, continent and free of voiding symptoms for 28, 11 and 14 months after re-establishment of urethral continuity. We suggest that this treatment be considered as an alternative to conventional surgical repair, particularly in elderly and other high risk patients.
STATISTICAL ANALYSIS OF FREQUENCY DOMAIN FILTERS FOR IMAGE DENOISING

Field: Computer Science (Physical Sciences)

With the advent of the digital world, the use of digital images has become widespread. During the process of image acquisition, image contamination by noise becomes an inevitable part of the image, leading to a significant reduction in quality. Traditionally, filters remove noise from images. Technological advances in the arena of image processing have led to growth of more efficient techniques of image denoising. These techniques make use of wavelets and Curvelet transforms, which can be blended with known parts of noisy image to estimate the unknown parts of the image better. In this paper, we apply various image denoising techniques to a random image that is corrupted by either Gaussian noise, speckle noise or salt and pepper noise. The evaluation results in terms of Mean Squared Error, Peak Signal to Noise Ratio, Structural Similarity Index and Computation time will help to decide the best technique that is used for denoising an image distorted by noise.
Classification, capsular PCR typing and genetic diversity of Pasteurella multocida isolated from sheep and goats in Iran using Bam HI, Hind III restriction endonuclease enzymes by PCR-RFLP.

Field: Veterinary (Health Sciences)

The aim of this study was to differentiatePasteurella multocidafrom ovine and caprine isolates in Iran by PCR-RFLP generated by restriction endonuclease enzymes Bam HI and Hind III. Among the isolates, 92.3% was identified as capsular type A and 7.7% as type D. All P. multocidaisolates were found to be virulent except for two isolates that caused no death in mice bio-assay. Restriction endonuclease analysis revealed 7 distinct profiles by digestion with Hind III, and Bam HI. Strains of the same PCR-RFLP type were similar to each other, whereas strains with different PCR-RFLP types were diversified. The HnidIII was found more useful for differentiating between DNA fingerprints of P. multocida ovine and caprine isolates. The typing with PCR-RFLP and correspondence with MDT gave consistent results. The strains of type II were found to be more associated with diseases of animals. PCR-RFLP pattern could be used for identification, differentiation and classification of P. multocida.
Meningkatkan Partisipasi Pemilih dalam Pemilu 2024: Pendekatan Stakeholders Mapping Analysis

Field: Social Sciences (Social Sciences)

The main objective of this study is to map out the various stakeholders involved in the 2024 Elections as a proactive measure aimed at significantly enhancing the political participation of the community. Conducted using qualitative research methodology, this study focuses on the collection and analysis of secondary data to generate accurate and relevant information about the involved stakeholders. The mapping results reveal the distinct and crucial roles played by different entities in the election process. The central and regional governments serve as 'contest setters', establishing the context and rules for the elections. Then, there are the General Election Commission (KPU), Election Supervisory Agency (Bawaslu), Non-Governmental Organizations (NGOs), media, and political parties, all acting as 'Players'. Furthermore, the officially nominated candidates and running mates are the main subjects of the election, designated as 'Subjects', while the general voting population is categorized as the 'Crowd'. These findings provide significant and in-depth insights into the dynamics and structure of stakeholders in the 2024 Elections, proving crucial for planning and implementing effective policy strategies designed to boost the political participation of the community.
Monotone solutions for mean field games master equations : finite state space and optimal stopping

Field: Mathematics (Physical Sciences)

We present a new notion of solution for mean field games master equations. This notion allows us to work with solutions which are merely continuous. We prove first results of uniqueness and stability for such solutions. It turns out that this notion is helpful to characterize the value function of mean field games of optimal stopping or impulse control and this is the topic of the second half of this paper. The notion of solution we introduce is only useful in the monotone case. We focus in this paper in the finite state space case.
i-plant - die multifunktionale Integrationsplattform: Integrierte Fabrik- und Anlagenkonfiguration auf der Basis eines skalierbaren Planungsvorgehens

Field: Engineering (Physical Sciences)

The requirements on modern software tools grow with the complexity of the task of planning factories and production systems. Distributed expert knowledge, intuitive, team-based planning, running of planning tasks in parallel and integration of the different planning levels are essential for the continuous organisation and adaptation of factories and their production systems. Based on the planning table conceived at the IPA, a platform was developed that links these requirements to each other. Different planning/structural levels can be planned in different levels of detailing (planning quality). The advantages so far obtained with the planning table, such as team-based, intuitive planning, are preserved in full and can be extended accordingly with distributed planning in the expert network.
Virgin Atlantic Airways: A Look Inside the Airline’s Green Initiatives

Field: Social Sciences (Social Sciences)

Greenwashing is a growing trend in the advertising of organization’s green efforts as well as the relationship it holds with a corporation’s public image and identity. Environmental communication is used to discuss our surroundings as well as controversial topics such as carbon emissions. Companies are seen to partake in greenwashing as a newer approach for them to achieve greater success. The importance of their image and identity is crucial to the portrayal of their organization to the general public. Image and identity also influence the corporation’s sense of understanding their place in their industry and society. In this study, I analyze Virgin Atlantic Airways green initiative programs as possible culprits of greenwashing through their use of rhetoric to depict themselves as a green corporation. I found that Virgin Atlantic can be deemed guilty of partaking in these actions through their largely publicized efforts that may have little to no effect on the environment, their disregard of the programs failures or small-scale efforts, and their conflicting voice in relation to their business and environmental programs.
Comparison Analysis of Logical Regression and Random Forest with Word Embedding Techniques for Twitter Sentiment Analysis

Field: Computer Science (Physical Sciences)

In order to carry out categorization and generate new categories, the huge volumes of textual materials produced nowadays must be immediately organised. The fundamental method of gaining insights from organising textual data is text classification. Then, we further classify the classes based on the discovered text types. Separated into four stages—pre-treatment, text representation, classifier execution, and classification—we use a wide range of machine learning approaches to classify texts. In this study, we utilise real-world data from Twitter to evaluate and compare several sentiment analysis approaches. We clean the data and divide it into train and text set before developing models using various vectorising approaches and compare the outcomes. Based on a comparison of the models with various vectorizations, it was found that the best performance was provided by the Logical Regression (LR) models using TF-IDF, with an f1 value of 0.81 and good accuracy and recollection values.
Checklist of the mosses of the Intermountain West, USA

Field: Agricultural and Biological Sciences (Life Sciences)

A revised list of the mosses of the Intermountain West, including all of Utah and Nevada and parts of surrounding states, is presented. Recorded are 342 species in 122 genera and 39 families in this region. Nomenclatural and taxonomic changes as well as floristic additions since the publication of Seville Flowers's book are included.
In Situ Non‐Invasive Imaging of Neutrophil Myeloperoxidase and Skin Reactive Oxygen Species in Experimental Murine Atopic Dermatitis

Field: Medicine (Health Sciences)

Abstract Neutrophils play a key role in the innate immune inflammatory response, notably through the release of the myeloperoxidase enzyme from azurophilic granules, locally generating reactive oxygen species. Although short‐lived, these reactive oxygen species are directly involved in local tissue damage in response to microbial intrusion. Neutrophil‐derived myeloperoxidase has been reported as an important factor in the elicitation of atopic dermatitis and is considered a potential target and biomarker. This study describes the use of in situ imaging techniques comprising both chemiluminescent resonance energy‐transfer and ratiometric fluorescent microtattoos to locally and non‐invasively image myeloperoxidase activity and skin reactive oxygen species in a murine model of calcipotriol‐induced atopic dermatitis. Using neutrophil depletion to assess granulocyte contribution to the observed imaging signals, the non‐invasive longitudinal data are found to correlate with endpoint biochemical activity assays for both myeloperoxidase and reactive oxygen species by‐products, as well as with immunohistochemical analysis.
Melioidosis and Glanders

Field: Medicine (Health Sciences)

Melioidosis and glanders are diseases caused by members of the genus Burkholderia. These Gram-negative bacterial pathogens can produce a wide spectrum of disease in humans and other animals. Burkholderia are proteobacteria of the Betaproteobacteria group. Although Burkholderia mallei, B. pseudomallei, B. cepacia, and B. gladioli can all cause human disease, this chapter focuses on B. mallei (Loffler and Schutz, 1882; Zopf, 1885) Yabuuchi et al., 1993, the cause of glanders, and B. pseudomallei (Whitmore, 1913) Yabuucchi et al., 1993 (1), the cause of melioidosis, because state-sponsored programs have studied, and at times used, these bacteria as agents of germ warfare.