jimnoneill/paper-to-field-training huggingface dataset:
Rubble Along the Road: Determining the Function and Date of Occupation for a Structure on Orton Plantation

Field: Social Sciences (Social Sciences)

There is little known about the daily lives of the enslaved and tenant farming African Americans who lived in the Lower Cape Fear region of North Carolina during the 19th and early 20th centuries. Even on the larger plantations in the region, the locations of their communities are often unknown. A combination of historical research and archaeological investigation was used to gain more insight into the use and dates of occupation of a structure on Orton Plantation, focusing on an area previously identified as a 19th century African American community. The structure excavated during the 2018 University of North Carolina Wilmington archaeological field school was occupied between the late antebellum period and the early 20th century, and was a cabin occupied by enslaved/tenant farming African Americans. Following the structure's identification, an effort was made to reconnect the names of African American individuals who once lived on or near Orton Plantation with three historic communities in the area. These communities were historically known as Dark Branch, Marsh Branch, and Orton. Now that physical evidence of the community at Orton, which was suggested to exist in the historical record, has been found archaeologically, further research questions can be explored surrounding aspects of the African American experience in this region during and directly after the end of slavery.
GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data

Field: Computer Science (Physical Sciences)

Given a dataset with incomplete data (e.g., missing values), training a machine learning model over the incomplete data requires two steps. First, it requires a data-effective step that cleans the data in order to improve the data quality (and the model quality on the cleaned data). Second, it requires a data-efficient step that selects a core subset of the data (called coreset) such that the trained models on the entire data and the coreset have similar model quality, in order to improve the training efficiency. The first-data-effective-then-data-efficient methods are too costly, because they are expensive to clean the whole data; while the first-data-efficient-then-data-effective methods have low model quality, because they cannot select high-quality coreset for incomplete data. In this paper, we investigate the problem of coreset selection over incomplete data for data-effective and data-efficient machine learning. The essential challenge is how to model the incomplete data for selecting high-quality coreset. To this end, we propose the GoodCore framework towards selecting a good coreset over incomplete data with low cost. To model the unknown complete data, we utilize the combinations of possible repairs as possible worlds of the incomplete data. Based on possible worlds, GoodCore selects an expected optimal coreset through gradient approximation without training ML models. We formally define the expected optimal coreset selection problem, prove its NP-hardness, and propose a greedy algorithm with an approximation ratio. To make GoodCore more efficient, we further propose optimization methods that incorporate human-in-the-loop imputation or automatic imputation method into our framework. Experimental results show the effectiveness and efficiency of our framework with low cost.
Comparing matching methods in policy evaluation

Field: Decision Sciences (Social Sciences)

The paper evaluates the statistical properties of two different matching estimators in the case of continuous treatment, using a Montecarlo experiment. The traditional generalised propensity score matching estimator is compared whit a new two step matching estimator for the continuous treatment case, recently developed (Adorno, Bernini and Pellegrini, 2007). It compares treatment and control units similar in terms of their observable characteristics in both selection processes (the participation decision and the treatment level assignment), where the generalized propensity score matching estimator collapses the two processes into one single step matching. The results show that the two step estimator has better finite sample properties if some institutional rules define the level of treatment with respect to the characteristics of the treated units.
Integrating Soil, Leaf, Fruitlet, and Fruit Nutrients, Along with Fruit Quality, to Predict Post-Storage Quality of Staccato Sweet Cherries

Field: Agricultural and Biological Sciences (Life Sciences)

Predicting the post-storage quality of cherry fruits is crucial for determining their suitability for long-distance shipping or domestic distribution. This study aimed to forecast key quality attributes of Staccato sweet cherries after storage, simulating shipping conditions, by analyzing spring soil, leaf, fruitlet, and at-harvest data from thirty orchards in the Okanagan Valley, British Columbia, Canada, over two years. A support vector machine (SVM) was used to predict post-storage variables, with pre-harvest and at-harvest data selected by a genetic algorithm. The SVM accurately predicted soluble solids (R2 = 0.88), firmness (R2 = 0.83), and acidity (R2 = 0.79) after four weeks of storage, as well as visual disorders like slip skin and stem browning. Spring soil properties (Ca, Mg), leaf (N, Ca, Mg, Fe, Zn, B), and fruitlet data (N, Ca, Mg, B) were key predictors. Leaf Ca was vital for firmness and total soluble solids (TSS) prediction, while N in leaves and fruitlets influenced firmness, acidity, and disorders. Leaf Zn helped predict weight and acidity/TSS ratio, and Mg impacted fruit color. Pre-harvest leaf nutrition measured 3–4 weeks before harvest, proved most effective in predicting post-storage quality.
Influence of Irritable Bowel Syndrome on Stress and Depressive Symptoms in Nurses: The Korea Nurses’ Health Study

Field: Health Professions (Health Sciences)

Despite the high risk of irritable bowel syndrome (IBS) and stress/depressive symptoms in nurses, limited research has examined the relationship between these conditions in female nurses. The purpose of this study was to determine the prevalence of IBS and the influence of IBS on stress and depressive symptoms in female nurses. We analyzed the data from the Korea Nurses’ Health Study. Among 7667 participants from the 7th survey conducted from December 2018 to September 2019, 178 nurses were identified as having IBS based on the Rome IV criteria. Using the propensity score matching, 712 were selected as a comparison group. Multivariate ordinal logistic regression analyses were conducted to examine the influence of IBS on stress and depressive symptoms. The prevalence of IBS was 2.3% and the prevalence of depressive symptoms among nurses with IBS was 13.5%. Female nurses with IBS were 2.214 times more likely to experience increased stress levels. However, when demographics, dietary habits, sleep quality, and depressive symptoms were considered, having IBS was no longer an influential factor for increased stress levels. When all the variables were considered, female nurses with IBS were still 2.205 times more likely to experience depressive symptoms. Adequate support is needed to relieve depressive symptoms in nurses with IBS.
Effect of Different Deconvolution Methods on Structure Function Calculation

Field: Computer Science (Physical Sciences)

For the calculation of correct structure function, getting the correct time constant spectrum is an important prerequisite. The time-constant spectrum is the result of the deconvolution of the derivative of the unit step response and weight function. However, deconvolution is an ill-posed problem which needs utmost care. The literature on the problem of structure function proposes two prominent solutions for the deconvolution step, namely Inverse Filtering and Bayesian deconvolution. This research work implements both deconvolution methods in the algorithm for structure function algorithm and compares the obtained structure function with the analytical solution. On the one hand, inverse filtering requires a filter function which does not change the low-frequency components but strongly attenuates high-frequency components in the frequency domain and on the other hand Bayesian deconvolution is an iterative process and might be time-consuming in case of high iteration. The comparison of structure functions for test structures procured from both deconvolution method shows that the structure function derived from Bayesian deconvolution have a better match with that of analytical structure functions.
The Atheist ‘Converts’

Field: Social Sciences (Social Sciences)

Abstract Chapter 3 delves into the assimilation between religious conversion cases and nonreligion cases, where nonbelievers are often referred to as ‘converts’ despite not converting to any religion. It explores how nonreligious cases are awkwardly processed using templates meant for religious conversions, revealing the underlying cultural assumptions and biases. The chapter questions the legitimacy of such practices and examines the hierarchy of religion and belief in the asylum process. By critiquing the existing framework, it points towards the need for a more nuanced understanding and treatment of nonreligious claims.
Immune Profiling of Patients with Systemic Sclerosis through Targeted Proteomic Analysis

Field: Medicine (Health Sciences)

High-throughput proteomic analysis could offer new insights into the pathogenesis of systemic sclerosis (SSc) and reveal non-invasive biomarkers for diagnosis and severity. This study aimed to assess the protein signature of patients with SSc compared to that of healthy volunteers, decipher various disease endotypes using circulating proteins, and determine the diagnostic performance of significantly expressed plasma analytes. We performed targeted proteomic profiling in a cohort of fifteen patients with SSc and eighteen controls using the Olink® (Olink Bioscience, Uppsala, Sweden)Target 96 Inflammation Panels. Seventeen upregulated proteins involved in angiogenesis, innate immunity, and co-stimulatory pathways discriminated between patients with SSc and healthy controls (HCs) and further classified them into two clusters, a low-inflammatory and a high-inflammatory endotype. Younger age, shorter disease duration, and lack of reflux esophagitis characterized patients in the low-inflammatory endotype. TNF, CXCL9, TNFRSF9, and CXCL10 positively correlated with disease progression, while the four-protein panel comprising TNF, CXCL9, CXCL10, and CX3CL1 showed high diagnostic performance. Collectively, this study identified a distinct inflammatory signature in patients with SSc that reflects a persistent T helper type 1 (Th 1) immune response irrespective of disease duration, while the multi-protein panel might improve early diagnosis in SSc.
Diphtheria Toxin and Antitoxin A Short Review of Progress Since the Work of Ehrlich

Field: Immunology and Microbiology (Life Sciences)

Review Articles| July 02 2009 Diphtheria Toxin and Antitoxin A Short Review of Progress Since the Work of Ehrlich Subject Area: Immunology and Allergy C.G. Pope C.G. Pope From the Wellcome Research Laboratories, Biological Division, Langley Court, Beckenham, England Search for other works by this author on: This Site PubMed Google Scholar International Archives of Allergy and Applied Immunology (1954) 5 (2): 115–140. https://doi.org/10.1159/000228092 Article history Published Online: July 02 2009 Content Tools Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation C.G. Pope; Diphtheria Toxin and Antitoxin A Short Review of Progress Since the Work of Ehrlich. International Archives of Allergy and Applied Immunology 1 February 1954; 5 (2): 115–140. https://doi.org/10.1159/000228092 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsInternational Archives of Allergy and Applied Immunology Search Advanced Search Article PDF first page preview Close Modal This content is only available via PDF. 1954Copyright / Drug Dosage / DisclaimerCopyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements. You do not currently have access to this content.
On Fuzzy Weakly-Closed Sets

Field: Mathematics (Physical Sciences)

A new class of fuzzy closed sets, namely fuzzy weakly closed set in a fuzzy topological space is introduced and it is established that this class of fuzzy closed sets lies between fuzzy closed sets and fuzzy generalized closed sets. Alongwith the study of fundamental results of such closed sets, we define and characterize fuzzy weakly compact space and fuzzy weakly closed space.
Silicon surface tunnel transistor

Field: Engineering (Physical Sciences)

A silicon surface tunneling transistor structure, based on lateral band-to-band tunneling, is presented. The theory, fabrication, and operation of the device is described. Band-to-band tunneling is controlled by the bias on the gate of the device which modulates the width of the tunneling barrier. The operation of the device is confirmed in both experimental results and two-dimensional computer simulations. Dramatic differences in drain current are observed for different gate bias.
Hardware architecture for accelerating communication on Maestro3 cluster network

Field: Engineering (Physical Sciences)

This paper presents architecture for accelerating message switch and synchronization performed in a message passing library developed on Maestro3 cluster network. Maestro3 is a high-performance cluster network that has the optimized data link layer and the capability of dynamic offload. We propose the dedicated hardware for further improvement of communication performance. In this paper, detailed analysis of overheads in message switch and in synchronization is described. Architecture and implementation of the proposed hardware are presented in detail. Evaluation has been performed by comparing performance of software approach and the proposed hardware approach. The results of evaluation showed that the latency of message switch and synchronization have been reduced by the proposed hardware to 8% and 22%, respectively.
Butterflies of Vansda National Park, Gujarat

Field: Agricultural and Biological Sciences (Life Sciences)

Shull (1963) documented the butterflies of southern Gujarat.He recorded 145 species from the region.Since none of the records were from Vansda National Park, a study was initiated on inventorying the butterflies in the Park.The National Park is spread over 23.99km 2 in Valsad Taluka of Valsad District and located between 20 0 51'16" & 21 0 21'22"N and 73 0 20'30' & 73 0 31'20"E.The area of Vansda National Park is hilly with altitude ranging from 110-360m.These hills are extensions of Sahyadri Range.The Park represents the northern zone of the Western Ghats in Gujarat State along with Purna Wildlife Sanctuary.The average annual rainfall at the Park is 1850mm, which is the highest for Gujarat.May is the hottest month.Minimum and maximum temperature recorded is 8.8 0 C and 43.8 0 C respectively.Vegetation of the Park is tropical moist deciduous type.Singh et al. (2000) have recorded 440 species of plants, which include 110 species of trees, 43 species of shurbs, 63 species of climbers, 199 species of herbs and 25 species of grasses.
Study and Design of Low Power Universal Differential Current Conveyor

Field: Engineering (Physical Sciences)

In this paper very low power CMOS universal differential difference current conveyor is designed. This is regarded as current mode circuits can be used for wireless communication. The gain, 3db bandwidth,unity gain bandwidth, slew rate and phase margin at non inverting terminal was calculated as of 32.33dB, 781MHz, 24 GHz, 934V/ms and 47 degree. The gain, 3db bandwidth,unity gain bandwidth, slew rate and phase margin at inverting terminal was calculated as of 30dB, 756MHz, 15.3 GHz, 934V/ms and 32.4 degree.The circuit was simulated using Cadence analog and digital design tools. The used technology is gpdk 45nm.
Wardrobe of male teaching professionals

Field: Social Sciences (Social Sciences)

Clothing is one of the basic needs of human being. Clothing is one means of value expression used by individuals, families and society as a whole. Each individual develops a self concept based largely on interaction with other people. All through life, individuals choose clothing that will obtain a positive reaction from the other people. A study was conducted to know variety of clothing present in men’s wardrobe. One hundred twenty male teaching staff member were selected as sample by stratified random sampling technique from four different colleges. A self structure questionnaire was used as tool for survey. All male’s outfits divided into six categories i.e., casual, formal, winter, groom, night and sport wear category. The respondents selected were divided into below 40 years and above 40 years of age. The result revealed that all respondents had readymade garment in their wardrobe. Home made clothing articles included sweater, cardigan from winter, and pajama from night clothing. Respondents of both age groups had tailor made formal and groom clothing.
Steroid hormone analogs. IV. C-Nor-D-homoestrone

Field: Chemistry (Physical Sciences)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSteroid hormone analogs. IV. C-Nor-D-homoestroneS. Morris Kupchan, Arnold W. By, and Michael S. FlomCite this: J. Org. Chem. 1968, 33, 2, 911–914Publication Date (Print):February 1, 1968Publication History Published online1 May 2002Published inissue 1 February 1968https://pubs.acs.org/doi/10.1021/jo01266a117https://doi.org/10.1021/jo01266a117research-articleACS PublicationsRequest reuse permissionsArticle Views41Altmetric-Citations8LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
A Clock for the Square Kilometre Array

Field: Physics and Astronomy (Physical Sciences)

The Square Kilometre Array telescope will be the largest and most complex astronomical instrument to date, with individual antennas spread across continental scales.One of the most complex technical challenges of such an extended array is the coherent combination of astronomical signals collected independently by many remote antennas.Astronomical observations therefore must be time-stamped with clock signals of exquisite accuracy and precision.Traditionally, these signals were provided by separate atomic clocks installed at each telescope site, which are synchronised over long time scales via GPS.However, the scale of the SKA makes the cost of operating and maintaining such an ensemble of complex and expensive atomic clocks extremely difficult.The National Time and Frequency Network collaboration is developing a novel solution which turns the problem on its head.We plan to recycle the optical fibre network, used to transport the astronomical data to the Square Kilometre Array's central computer, to also distribute high-quality time and frequency signals to each antenna.We are developing and then amalgamating six techniques to enable a versatile timing and frequency network that spans continental scales.Our work brings together cutting edge technological innovations with astronomical science of the highest precision.
Does China's carbon emissions trading policy improve the technology innovation of relevant enterprises?

Field: Economics, Econometrics and Finance (Social Sciences)

Abstract China's carbon emissions trading (CET) policy aims to force relevant enterprises to implement low‐carbon technology innovation and address environmental challenges through marketization means. However, how China's CET policy may affect enterprise technology innovation and whether this effect may differ in industries remain to be further investigated. Therefore, based on the panel data of listed enterprises covered by the CET policy in China during 2009–2017, this paper employs the difference‐in‐difference (DID) and DID‐based propensity score matching models to evaluate the effect of CET on technology innovation. The empirical results indicate that the effect of China's CET on the technology innovation of related enterprises is generally not significant during the sample period, but this effect presents evident industrial heterogeneity. Specifically, among the eight CET‐covered industries, the CET policy helps to improve technology innovation for power and aviation enterprises but not in the other six industries (i.e., steel, chemical, building material, petrochemical, nonferrous metals, and paper), which implies that China's CET policy still has great potential for promoting the technology innovation of related enterprises. In addition, the central findings remain robust when the system generalized method of moment and DID‐based coarsened exact matching models are applied to consider the influence of omitted variables, unobservable confounders, and different matching methods.