jimnoneill/paper-to-field-training huggingface dataset:
Seasonal Prediction of Arctic Summer Sea Ice Concentration from a Partial Least Squares Regression Model

Field: Earth and Planetary Sciences (Physical Sciences)

The past decade has witnessed a rapid decline in the Arctic sea ice and therefore has raised a rising demand for sea ice forecasts. In this study, based on an analysis of long-term Arctic summer sea ice concentration (SIC) and global sea surface temperature (SST) datasets, a physical–empirical (PE) partial least squares regression (PLSR) model is presented in order to predict the summer SIC variability around the key areas of the Arctic shipping route. First, the main SST modes closely associated with sea ice anomalies are found by the PLSR method. Then, a prediction model is reasonably established on the basis of these PLSR modes. We investigate the performance of the PE PLSR model by examining its reproducibility of the seasonal SIC variability. Results show that the proposed model turns out promising prediction reliability and accuracy for Arctic summer SIC change, thus providing a reference for the further study of Arctic SIC variability and global climate change.
Stress granules: RNP-containing cytoplasmic bodies arising in stress: Structure and mechanism of organization

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

The review considers recent data on stress granules, which are dense RNP-containing cytoplasmic bodies that arise under stress conditions, e.g., in heat shock, UV irradiation, energy depletion, and oxidative stress. There is evidence that stress granules accumulate incomplete initiation complexes containing mRNA associated with proteins, small ribosomal subunits, and some translation initiation factors, and that stress granules are formed when cells are depleted of the ternary complex (eIF2-tRNAMet-GTP), in particular, upon eIF2A phosphorylation or a decrease in GTP. Large ribosomal subunits and the ternary complex are absent from stress granules. The structural basis of stress granules is known. It is probable, however, that RNA-binding protein TIA-1, which normally occurs in the nucleus, forms prion-like aggregates that serve as scaffolds for other components of stress granules. The cytoskeleton facilitates the accumulation of stress granule components in local cytoplasmic sites. Studies of the formation and composition of stress granules are important for a better understanding of the regulation of translation initiation in vivo and the mechanisms of the cell response to stress factors.
Terminal experimentation: The transformation of experiences, events and escapes at global airports

Field: Social Sciences (Social Sciences)

Recent debates in aeromobilities research have focused on global shifts in airport socialities generated by the redesign of airport terminals (Cwerner et al., 2009). This article examines transformations to identity and social relations arising from the reinvention of airport infrastructures and facilities, especially the experience of airport services. We suggest here that the arrival of ‘smart airports’, or how we use the term ‘Airport 3.0’, involves an experimentalist orientation deriving from contemporary economic and cultural life. The general argument is that the reinvention of global airport spaces is producing three key transformations: (1) experimentalist orientations arising from the deployment of new information technologies; (2) an experimental business engineering of consumer worlds, or ‘worlding’; and (3) travel-time use geared to a world of infinite innovation. Finally, the article reviews transformations in passenger experience in the light of these conceptual claims.
The importance of reliability of data on waste generation in decision-making processes determining the optimal waste management options in the Municipality of Bor

Field: Environmental Science (Physical Sciences)

Integrated Waste Management system includes all waste streams, waste collection, treatment and disposal methods, with the aim to achieve environmental benefits, economic optimization and societal acceptability. Appropriate waste management system that will be implemented is based on data on generated waste, waste composition for any specific municipality. The National Waste Management Strategy for Serbia identified the lack of data on composition and quantities of municipal waste generated in our country. This paper deals with analysis of data available in various national and regional reports for the municipality Bor. Comparative analysis of indicators: the global warming potential-GWP, total cost, as well as cost per capita for non-sanitary landfill waste management option with 30% recycling and without recycling for municipality Bor is based on the data from different sources. It is presented that indicators based on data from different sources can vary and up to 300%, which can produce wrong decisions in choosing optimal waste disposal option. .
Pengaruh Dana Pihak Ketiga, Return on Aset dan Non-Performing Financing Terhadap Financing to Deposit Ratio

Field: Business, Management and Accounting (Social Sciences)

This study aims to determine the influence of Third Party Funds (DPK), Return On Asset (ROA) and Non Performing Financing (NPF) on the decrease in Financing to Deposit Ratio (FDR) at PT Bank Muamalat Indonesia. In this study, the data used in the form of secondary data in the form of Annual Financial Report of PT Bank Muamalat Indonesia for the period 2013-2020 published by Bank Muamalat Indonesia. Technical analysis used is multiple regression using SPSS software. The results obtained from this study indicate that simultaneously Third Party Funds (DPK), Return On Assets (ROA and Non Performing Financing (NPF) have a significant effect on the Financing to Deposit Ratio (FDR) at PT Bank Muamalat Indonesia. (DPK) and Return On Assets (ROA) have a significant effect on the Financing to Deposit Ratio (FDR) at PT Bank Muamalat Indonesia, while Non Performing Financing (NPF) has no significant effect on the Financing to Deposit Ratio (FDR) at PT Bank Muamalat Indonesia. This performance appraisal is expected to be used as a proposal for banks to maintain the composition of the level of liquidity that must be maintained. This performance assessment is expected to be used as a proposal for banks to maintain the composition of liquidity levels that must be maintained.
Length-weight relationship and condition factor of Stolephorus bataviensis from Mangalore area

Field: Agricultural and Biological Sciences (Life Sciences)

The length-weight relationship and relative condition factor of 1,534 fishes of Stolephorus bataviensis (797 females and 737 males) were estimated from the samples collected at Mangalore waters. The relationship for male was expressed by Log W = -1.036946 + 1.80955 Log L and for female, Log W = - 1.836013 + 2.63931 Log L. The mean values of relative condition factor (Kn) varied between 1.00172 and 1.01433 in male and 1.00292 and 1.01679 in female respectively
Phase I, first-in-human, open-label, dose-escalation study of U3-1565, a fully human anti-HB-EGF monoclonal antibody, in patients with advanced solid tumors.

Field: Medicine (Health Sciences)

2519 Background: Heparin-binding epidermal growth factor-like growth factor (HB-EGF) is an EGF family member and a ligand for EGFR and Her4. U3-1565 is a fully human anti-HB-EGF monoclonal antibody with preclinical anti-tumor and anti-angiogenesis activity. In this study, we evaluated safety, tolerability, immunogenicity, pharmacokinetics (PK), pharmacodynamics (PD), and anti-tumor activity of U3-1565 in patients with advanced solid tumors refractory to standard treatment. Methods: The 3+3 method of enrollment and dose-escalation was used to test U3-1565 at 2, 8, 16, and 24 mg/kg once every two weeks (with the second dose given three weeks after the first), and at 24 mg/kg weekly. Results: 15 patients (11 females, 4 males; median age 62 (range 47-77) years; 5 CRC, 5 NSCLC, 3 ovarian and 2 other cancer) were enrolled, 3 in each dose level cohort. No dose-limiting toxicity was observed and a maximum tolerated dose was not reached. The highest administered dose of 24 mg/kg weekly generated Cmin above the predetermined target concentration corresponding to Cave resulting in 90% preclinical tumor growth inhibition. U3-1565 was safe and well tolerated with related AE consisting of infrequent and non-dose-related G2 (fatigue, anemia, and appetite loss, seen in 20, 13, and 7% of cases, respectively) and G1 toxicities. No anti-U3-1565 antibody was detected. U3-1565 showed bi-exponential disposition with Cmax and AUC increasing proportional to the dose across all dosing regimens. 13 patients discontinued the study, 12 due to progressive disease and 1 due to non-drug-related AE. After 6 months on study, 2 patients entered study extension phase: A 77 year-old female with NSCLC given 24 mg/kg every two weeks, showed SD (best SLD change -3%) for 26 weeks before progression; and a 76 year-old female with CRC given 24 mg/kg weekly, showed PR (best SLD change -35%) and remains on treatment after 71 weeks. Conclusions: U3-1565 is safe and well tolerated up to 24 mg/kg weekly. Anti-tumor activity was observed and is being further explored in an open-label, dose-expansion study. Clinical trial information: NCT0129041.
Memory, History, and Forgetting in Anne Devlin’s The Forgotten (2009)

Field: Arts and Humanities (Social Sciences)

This chapter considers Anne Devlin’s radio play The Forgotten as an example of Ireland’s “theatre of memory”. The Forgotten’s relationship with earlier examples of memory theatre shall be analysed in terms of how this work is both a part of and also outside this major tradition of Irish dramatic literature. This piece of drama uses the symbiotically related characters Bee and The Forgotten to render physical conceptions of history, memory, and forgetting formulated by Paul Ricoeur and (as Devlin herself acknowledges in her essay about writing the play) Jacques Lacan. In that same essay, Devlin uses the fields of psychology and memory studies to also make a point about the amnesia concerning the history of female drama in Ireland. I therefore demonstrate that, in this powerful play of voices, Devlin effectively achieves the conflation of private, cultural, and historical forms of memory.
Smith GA-PID feedback control of hot strip final rolling temperature

Field: Engineering (Physical Sciences)

Abstract At present, the hot strip finishing temperature control system generally adopts a computer model or mechanism model to predict the strip’s final rolling temperature, which is open-loop control. To realize the precise control of the final rolling temperature of high-performance steel, this paper introduces the PID feedback control strategy at the end of the finishing zone, to realize the high-precision temperature control of the strip steel. The Smith compensator is used to predict the compensation for the large hysteresis problem of the final rolling temperature, and various intelligent algorithms are used to optimize the three parameters of the PID controller, eliminate the nonlinear problem, and obtain better dynamic performance. After the experiment, it is concluded that the Smith GA-PID optimization control strategy system has a small overshoot, the peak time and regulation time are the shortest, and the dynamic response is the fastest. Compared with the traditional PID control method, the overshoot is reduced by 97.6%, and the required regulation time is reduced by 7.85 s.
Application of Deep Learning Algorithm to Detect Fraud in Online Transaction Networks

Field: Computer Science (Physical Sciences)

Online transaction fraud is a severe problem that may cost businesses and people a lot of money. This paper suggests using deep learning algorithms to detect fraud as a remedy to this issue. These algorithms were chosen based on their ability to handle large amounts of intricate data and identify patterns that are difficult to identify using traditional techniques. Important components of this research include gathering and preprocessing transaction data, creating deep learning models, and assessing model performance. This investigation examines a variety of financial transaction types that may have involved fraud. The deep learning approach uses deep neural network designs, including Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN), to maximize detection accuracy. The study's findings demonstrate that the deep learning models created are excellent at identifying questionable transactions and can lower the false positive rate, which raises the overall effectiveness of fraud detection systems. As a result, deep learning algorithms have demonstrated a high degree of efficacy in identifying fraudulent activity inside internet-based transaction networks, so they play a vital role in fraud prevention.
City of Chesapeake, Virginia Shoreline Inventory Report Methods and Guidelines

Field: Earth and Planetary Sciences (Physical Sciences)

The 2016 Inventory for City of Chesapeake was generated using on-screen, digitizing techniques in ArcGIS® - ArcMap v10.2.2 while viewing conditions observed in Bing high resolution oblique imagery, Google Earth, and 2013 imagery from the Virginia Base Mapping Program (VBMP). Four GIS shapefiles are developed. The first describes land use and bank conditions (Chesapeake_lubc_2016). The second portrays the presence of beaches (Chesapeake_beaches_2016). The third reports shoreline structures that are described as arcs or lines (e.g. riprap) (Chesapeake_sstru_2016). The final shapefile includes all structures that are represented as points (e.g. piers) (Chesapeake_astru_2016). The metadata file accompanies the shapefiles and defines attribute accuracy, data development, and any use restrictions that pertain to data.
[Carotid endarterectomy by eversion and reimplantation. Techniques and results].

Field: Medicine (Health Sciences)

Endarterectomy of the carotid bifurcation through a longitudinal arteriotomy of the common and internal carotid arteries followed by a direct closure is still accepted as the main surgical technique for carotid stenoses. However, this technique is complicated in about 10% of the cases by a restenosis. Mechanisms of myointimal hyperplasia leading to restenosis are not completely explained. The technique of eversion endarterectomy of the internal carotid artery has been said to be an alternate technique which could decrease the incidence of restenosis. We described the three main techniques of eversion endarterectomy and their results. The technique of eversion endarterectomy after proximal section of the internal carotid artery is the most frequently used. It allows to treat easily length excess of the internal carotid artery. Its results are good in terms of neurologic morbidity and mortality. However, randomized comparative studies are still required in order to determine its role on the incidence of restenosis despite the first encouraging results of first non comparative studies. The technique of eversion endarterectomy after distal section of the internal carotid artery has been proposed by Chevalier who reported also good short term results and no delayed restenosis.
System of reservation in India and its different aspects

Field: Social Sciences (Social Sciences)

In the Indian system, reservation policy plays crucial role to help the various categories like scheduled caste, scheduled tribes etc. For upliftment and protection of their rights.my research paper will cover all the aspects related to reservation policy in India. This paper will observe weather the caste-based reservation policy is inalienable or it become part of Indian culture forever which can’t be changed. Is reservation system be replaced by any other system to uplift the oppressed mainly Sc/St’s etc. This Research paper includes the study of various Constitutional Provisional such as Article- 15(4), 16(4), 46, 340, 342 to complete the work. This research paper will also cover the historical legal provisions and supreme court, landmark judgements relating to reservation, other interpretation in favour and against reservation policies of India.
PREPARE-ing South Dakota Farm and Ranch Women for Advance Care Planning

Field: Health Professions (Health Sciences)

Purpose: Evaluate the impact of an advance care planning (ACP) educational session utilizing PREPARE for Your Care for South Dakota farm and ranch women and its ability to increase engagement in ACP and documentation of medical wishes in the form of an advance directive. Sample: A convenience sample of women (n = 23) represented members of the farm and ranch community in South Dakota who were participating in the Power of Women as AgVocates Conference. Inclusion criteria for this study included being 18 years old or older, female, and conference participation. Exclusion criteria included men and those under the age of 18. Method: This was a cross-sectional investigation, consisting of three phases, and included comparisons of the same sample population before and after an ACP intervention at different time intervals (baseline, 1 week after the educational session and 3 months after the educational session). Increased engagement in ACP was evaluated using a pre-test, post-test design and utilized the 15-item Advance Care Planning Engagement Survey. Demographic information including age and highest level of education completed was collected. Findings: In total, 23 women participated in education session. The median age range was 35-44 years of age. There were statistically significant increases in self-efficacy and readiness to complete ACP reported by participants. The objectives of this education session were met. Per the participants, this was an effective format for ACP. Advance directive completion rates did not increase. Conclusions: The use of PREPARE for Your Care during an education session on ACP can increase self-efficacy and readiness to engage in ACP. The format of this program is appropriate for future use in community settings with the farm and ranch population. Keywords: Advance Care Planning, farm and ranch women DOI: http://doi.org/10.14574/ojrnhc.v20i2.632
A Nation That Dares Not Speak Its Name?

Field: Arts and Humanities (Social Sciences)

Review: 1. R. Colls: Identity of England; Oxford: Oxford Univ. Press 2002, 409 pp.; ISBN 0–199–24519–3. 2. K. Kumar: The Making of English National Identity; Cambridge: Cambridge Univ. Press 2003, 367 pp.; ISBN 0–521–77736–4. 3. R. Weight: Patriots: National Identity in Britain, 1940–2000; London: Macmillan 2002, 866 pp.; ISBN 0–330–49141–5.
Report of the Workshop on Sardine Otolith Age Reading

Field: Agricultural and Biological Sciences (Life Sciences)

At the ICES Annual Science Conference in Reykjavik (Iceland) from October 26 to November 4, 1996 it was decided (C. Res. 1996/2:39) that a Workshop on Sardine Otolith Age Reading (Chairman: E.Soares) will be held at the Instituto Espanol de Oceanografia (lEO) in Vigo, Spain from 4-8 March 1997 to:
a) analyse the otolith structure and define the yearly growth pattern of otolith from different areas;
b) report on the main problems resulting from the applied ageing criteria, and on agreement between readers;
c) establish a protocol for age determination using diagrams and photographs to illustrate age reading criteria.
This Workshop was sponsored by the European Commission (DG-XIV) within the framework of programme FAIR.
Prevalencia del suicidio femenino en el departamento del Magdalena (Colombia ): 2004-2010

Field: Health Professions (Health Sciences)

<p><strong>Title:</strong> Prevalence of suicide girls in the department of Magdalena (Colombia): 2004-2010.</p><p><strong>Resumen</strong></p><p>El suicidio es considerado una de las principales causas de muerte en el mundo, y por tanto es un problema de salud pública a nivel mundial. Se ha definido como aquella conducta en la cual el ser humano que logra terminar con su vida de manera voluntaria. Se efectuó un estudio descriptivo longitudinal retrospectivo, tomando como base los registros de los suicidios de mujeres para el departamento del Magdalena en el período 2004-2010, suministrados por el Instituto de Medicina Legal y Ciencias Forenses, regional Santa Marta. La presente investigación encontró que durante el periodo 2004-2010 en el departamento del Magdalena se presentaron 206 suicidios, de los cuales 30 (14.5%) fueron consumados por mujeres, de las cuales dos (6.66%) eran adolescentes. Se concluye que la prevalencia del suicidio femenino en el periodo estudiado fue del 14.5%. (DUAZARY 2012 No. 1, 87 - 93)</p><p><strong>Abstract</strong></p><p>Suicide is considered a major cause of death in the world, therefore, is a public health problem worldwide. Suicide is defined as that human behavior that does end his life voluntarily. We conducted a retrospective, longitudinal study, based on records supplied by the Institute of Legal Medicine and Forensic Sciences, Santa Marta region for the period 2004-2010 of suicides by women for the Department of Magdalena. This investigation found that during the period 2004 to 2010 in the department of Magdalena showed 206 suicides, of which 30 (14.5%) were accomplished by women, and of these, two women (6.66%) were adolescents. It is concluded that the prevalence of female suicide in the study period was 14.5%.</p><p><strong>Keywords:</strong> Suicide; sex; women; prevalence. (MeSH).</p>
Adversarial Content–Noise Complementary Learning Model for Image Denoising and Tumor Detection in Low-Quality Medical Images

Field: Computer Science (Physical Sciences)

Medical imaging is crucial for disease diagnosis, but noise in CT and MRI scans can obscure critical details, making accurate diagnosis challenging. Traditional denoising methods and deep learning techniques often produce overly smooth images that lack vital diagnostic information. GAN-based approaches also struggle to balance noise removal and content preservation. Existing research has not explored tumor detection after image denoising; instead, it has concentrated on content and noise learning. To address these challenges, this study proposes the Adversarial Content–Noise Complementary Learning (ACNCL) model, which enhances image denoising and tumor detection. Unlike conventional methods focusing solely on content or noise learning, ACNCL simultaneously learns both through dual predictors, ensuring the complementary reconstruction of high-quality images. The model integrates multiple denoising techniques (DnCNN, U-Net, DenseNet, CA-AGF, and DWT) within a GAN framework, using PatchGAN as a local discriminator to preserve fine image textures. The ACNCL separates anatomical details and noise into distinct pathways, ensuring stable noise reduction while maintaining structural integrity. Evaluated on CT and MRI datasets, ACNCL demonstrated exceptional performance compared to traditional models both qualitatively and quantitatively. It exhibited strong generalization across datasets, improving medical image clarity and enabling earlier tumor detection. These findings highlight ACNCL’s potential to enhance diagnostic accuracy and support improved clinical decision-making.