jimnoneill/paper-to-field-training huggingface dataset:
Applications of Machine Learning-Driven Molecular Models for Advancing Ophthalmic Precision Medicine

Field: Medicine (Health Sciences)

Ophthalmic diseases such as glaucoma, age-related macular degeneration (ARMD), and optic neuritis involve complex molecular and cellular disruptions that challenge current diagnostic and therapeutic approaches. Advanced artificial intelligence (AI) and machine learning (ML) models offer a novel lens to analyze these diseases by integrating diverse datasets, identifying patterns, and enabling precision medicine strategies. Over the past decade, applications of AI in ophthalmology have expanded from imaging-based diagnostics to molecular-level modeling, bridging critical gaps in understanding disease mechanisms. This paper systematically reviews the application of AI-driven methods, including reinforcement learning (RL), graph neural networks (GNNs), Bayesian inference, and generative adversarial networks (GANs), in the context of these ophthalmic conditions. RL models simulate transcription factor dynamics in hypoxic or inflammatory environments, offering insights into disrupted molecular pathways. GNNs map intricate molecular networks within affected tissues, identifying key inflammatory or degenerative drivers. Bayesian inference provides probabilistic models for predicting disease progression and response to therapies, while GANs generate synthetic datasets to explore therapeutic interventions. By contextualizing these AI tools within the broader framework of ophthalmic disease management, this review highlights their potential to transform diagnostic precision and therapeutic outcomes. Ultimately, this work underscores the need for continued interdisciplinary collaboration to harness AI’s potential in advancing the field of ophthalmology and improving patient care.
Multiple health behaviour change interventions for primary prevention of cardiovascular disease in primary care: systematic review and meta-analysis

Field: Medicine (Health Sciences)

Background It is uncertain whether multiple health behaviour change (MHBC) interventions are effective for the primary prevention of cardiovascular disease (CVD) in primary care. A systematic review and a meta-analysis were performed to evaluate the effectiveness of MHBC interventions on CVD risk and CVD risk factors; the study also evaluated associations of theoretical frameworks and intervention components with intervention effectiveness. Methods The search included randomised controlled trials of MHBC interventions aimed at reducing CVD risk in primary prevention population up to 2017. Theoretical frameworks and intervention components were evaluated using standardised methods. Meta-analysis with stratification and meta-regression were used to evaluate intervention effects. Results We identified 31 trials (36 484 participants) with a minimum duration of 12 months follow-up. Pooled net change in systolic blood pressure (16 trials) was −1.86 (95% CI −3.17 to −0.55; p=0.01) mm Hg; diastolic blood pressure (15 trials), −1.53 (−2.43 to −0.62; p=0.001) mm Hg; body mass index (14 trials), −0.13 (−0.26 to −0.01; p=0.04) kg/m 2 ; serum total cholesterol (14 trials), −0.13 (−0.19 to −0.07; p<0.001) mmol/L. There was no significant association between interventions with a reported theoretical basis and improved intervention outcomes. No association was observed between intervention intensity (number of sessions and intervention duration) and intervention outcomes. There was significant heterogeneity for some risk factor analyses, leading to uncertain validity of some pooled net changes. Conclusions MHBC interventions delivered to CVD-free participants in primary care did not appear to have quantitatively important effects on CVD risk factors. Better reporting of interventions’ rationale, content and delivery is essential to understanding their effectiveness.
Analisis Motif Kain Tradisional Indonesia: Pemaknaan Visualisasi Abstrak hingga Naturalis

Field: Arts and Humanities (Social Sciences)

Indonesia is a country with various cultures. One of cultural product that interesting to be analysis is textile.Indonesian traditional textiles are made by weaving and batik techniques. Traditional textiles have a deepphilosophical meaning related to the human existence in the universe. Traditional textiles have various motifs. It isinteresting to analyze the meaning of the motifs of Indonesian traditional textile. The approaches of this research aretraditional Indonesian aesthetics and cultural approach. Traditional textile motifs can be categorized into geometrics,figurative, and naturalist motifs. The motifs are influenced by textile making techniques. For instance, weavingtechnique has limitation in motif type. Weaving technique produces geometrics motif. The other technique is batik thathas freedom to produce various motifs for textile. The original Indonesian textile motifs generally are abstract motives.Figurative and naturalist motifs emerge after the entrance of other culture influence. Based on visualization analysis,abstract motif has deep meaning related to people life philosophy. Some of figurative motifs have philosophical meaning,but naturalist motifs generally do not have philosophical meaning in Indonesian people.
[Comparative examination of intermediate molecular weight compound values in both ultrafiltrate and blood of patients with chronic renal failure].

Field: Medicine (Health Sciences)

The study aimed at comparing various techniques enabling relatively rapid assay of intermediate molecular weight compounds in blood. A content of intermediate molecular weight compounds concentrations in blood ultrafiltrate obtained with routinely performed hemodialysis, in dialysate fluid after clearance of blood serum, in supernatant of deproteinized blood serum, and dialysate after clearance of deproteinized serum supernatant were compared. No correlation between the content of intermediate molecular weight compounds in dialysate after clearance of blood serum and deproteinized serum supernatant was noted. Further studies, including separation of these compounds with HPLC did not show similarities in the course of particular curves at 254 nm.
Research Progress of Solid Tumor Stem Cells

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

The investigation and study of cancer stem cells (CSC) have received enormous attention since the theory has been proposed, but remain topics of considerable controversy. A correct understanding of the biological characteristics of cancer stem cells and relevant mechanisms, to find new ways and methods to cure cancer are currently the most important direction. In the following text, we discuss the origin, the identification, regulatory pathway, micro-environment, the role of miRNA in the CSC and the new potential therapeutic targets elucidated by considering cancer as a problem in stem cell biology.
A Treatise on the Diseases of the Nervous System. By James Ross, M.D., M.R.C.P. Lond., Assistant Physician to the Manchester Royal Infirmary, &c. Illustrated with Lithographs, Photographs, and Two Hundred and Eighty Woodcuts. Two Vols. London: Churchill.

Field: Neuroscience (Life Sciences)

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EVALUATION OF IT GOVERNANCE USING COBIT 2019 ON REGIONAL ASSET MANAGEMENT AGENCY OF DKI JAKARTA

Field: Business, Management and Accounting (Social Sciences)

An adequate level of IT availability can obtained by implementing IT Governance, which pay attention to all related issues service readiness, including services and resources. This research aimed to assess the IT Governance capability at the Regional Asset Management Agency (BPAD), a government institution responsible for asset management. The study specifically focused on issues related to data and information management, including leadership and risk management challenges. Using the COBIT 2019 Framework, data were collected through interviews and observations. The respondent of this research are 4 who work in the Data and Information Sub-Sector and one Head of Asset Administration. The findings revealed that the EDM 05 process achieved a capability level of 4, surpassing the organization's target. However, the APO 08 and APO 12 processes were rated at level 2, highlighting areas in need of improvement. The study provides recommendations to enhance BPAD's performance and optimize its business activities.
Cell-Specific Modulation of Papovavirus Replication by Tumor Suppressor Protein p53

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

Small DNA tumor viruses like human papillomaviruses, simian virus 40, and adenoviruses modulate the activity of cellular tumor suppressor proteins p53 and/or pRB. These viruses replicate as nuclear multicopy extrachromosomal elements during the S phase of the cell cycle, and it has been suggested that inactivation of p53 and pRb is necessary for directing the cells to the S phase. Mouse polyomavirus (Py), however, modulates only the pRB protein activity without any obvious interference with the action of p53. We show here that Py replication was not suppressed by the p53 protein indeed in all tested different mouse cell lines. In addition, E1- and E2-dependent papillomavirus origin replication was insensitive to the action of p53 in mouse cells. We show that in hamster (Chinese hamster ovary) or human (osteosarcoma 143) cell lines the replication of both Py and papillomavirus origins was efficiently blocked by p53. The block of Py replication in human and hamster cells is not caused by the downregulation of large T-antigen expression. The deletion analysis of the p53 protein shows that the RPA binding, proline-rich regulatory, DNA-binding, and oligomerization domains are necessary for p53 action in both replication systems. These results indicate that in mouse cells the p53 protein could be inactive for the suppression of papovavirus replication.
THE EXCAVATION OF LOCAL WISDOM VALUES OF THE MAULID OF THE PROPHET MUHAMMAD SAW IN FORMING SOCIAL INTEGRATION

Field: Social Sciences (Social Sciences)

Study This aim for dig values wisdom locally contained​ in celebration Birthday of the Prophet Muhammad SAW and how values the role in form integration social issues in the Madurese community in Sungai Kakap District. Method used​ in study This is studies case with approach qualitative. Tradition celebration Prophet's birthday in society This No only form respect towards the Prophet Muhammad SAW, but also became an important medium in strengthen bond social. Values​ such as mutual cooperation, friendship, and strengthening identity religious become element main in create togetherness and harmony social. Mutual cooperation, for example, teaches public For Work The same in prepare and run the event, so foster a sense of togetherness and solidarity. The friendship that exists during celebration this also strengthens it connection intergroup social, strengthening cohesion social, and preventive happen conflict social. With Thus, implementation wisdom local through celebration Birthday of the Prophet Muhammad SAW in Sungai Kakap District No only works as effort preservation culture, but also as means effective in build and strengthen integration social circles​ Madurese society.
Potent and Selective 1,2,3-Trisubstituted Indole NPY Y-1 Antagonists

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

ADVERTISEMENT RETURN TO ISSUEPREVLetterNEXTPotent and Selective 1,2,3-Trisubstituted Indole NPY Y-1 AntagonistsPhilip A. Hipskind, Karen L. Lobb, James A. Nixon, Thomas C. Britton, Robert F. Bruns, John Catlow, Donna K. Dieckman-McGinty, Susan L. Gackenheimer, Bruce D. Gitter, Smriti Iyengar, Douglas A. Schober, Rosa M. A. Simmons, Steve Swanson, Hamideh Zarrinmayeh, Dennis M. Zimmerman, and Donald R. GehlertView Author Information Lilly Research Laboratories, A Division of Eli Lilly and Company, Lilly Corporate Center, Indianapolis, Indiana 46285Cite this: J. Med. Chem. 1997, 40, 23, 3712–3714Publication Date (Web):November 7, 1997Publication History Received4 August 1997Published online7 November 1997Published inissue 1 November 1997https://pubs.acs.org/doi/10.1021/jm970512xhttps://doi.org/10.1021/jm970512xrapid-communicationACS PublicationsCopyright © 1997 American Chemical SocietyRequest reuse permissionsArticle Views594Altmetric-Citations74LEARN 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-AlertscloseSupporting Info (1)»Supporting Information Supporting Information SUBJECTS:Anions,Antagonists,Indoles,Peptides and proteins,Receptors Get e-Alerts
The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework

Field: Health Professions (Health Sciences)

Clinical decision support systems are meant to improve the quality of decision-making in healthcare. Artificial intelligence is the science of creating intelligent systems that solve complex problems at the level of or better than human experts. Combining artificial intelligence methods into clinical decision support will enable the utilization of large quantities of data to produce relevant decision-making information to practitioners. This article examines various artificial intelligence methodologies and shows how they may be incorporated into clinical decision-making systems. A framework for describing artificial intelligence applications in clinical decision support systems is presented.
Schema-agnostic vs schema-based configurations for blocking methods on homogeneous data

Field: Computer Science (Physical Sciences)

Entity Resolution constitutes a core task for data integration that, due to its quadratic complexity, typically scales to large datasets through blocking methods. These can be configured in two ways. The schema-based configuration relies on schema information in order to select signatures of high distinctiveness and low noise, while the schema-agnostic one treats every token from all attribute values as a signature. The latter approach has significant potential, as it requires no fine-tuning by human experts and it applies to heterogeneous data. Yet, there is no systematic study on its relative performance with respect to the schema-based configuration. This work covers this gap by comparing analytically the two configurations in terms of effectiveness, time efficiency and scalability. We apply them to 9 established blocking methods and to 11 benchmarks of structured data. We provide valuable insights into the internal functionality of the blocking methods with the help of a novel taxonomy. Our studies reveal that the schema-agnostic configuration offers unsupervised and robust definition of blocking keys under versatile settings, trading a higher computational cost for a consistently higher recall than the schema-based one. It also enables the use of state-of-the-art blocking methods without schema knowledge.
Supplementary Figure S5 from Type 2 Diabetes Mellitus and Efficacy Outcomes from Immune Checkpoint Blockade in Patients with Cancer

Field: Medicine (Health Sciences)

<p>Kaplan-Meier survival estimates according to the receipt of no diabetes medication, other diabetes medications/insulin therapy only, and metformin therapy (either alone or in combinations). A) Overall Survival whole cohort; patients not receiving diabetes medications: 18.9 months (95%CI: 15.9-21.6; 684 events), patients on other diabetes medications/insulin therapy only: 19.3 months (95%CI: 11.6-22.9; 48 events), patients on metformin: 12.3 months (95%CI: 9.8-15.9; 100 events). B) Progression Free Survival whole cohort; patients not receiving diabetes medications: 8.2 months (95%CI: 7.1-9.4; 872 events), patients on other diabetes medications/insulin therapy only: 10.7 months (95%CI: 6.7-11.6; 61 events), patients on metformin: 7.9 months (95%CI: 5.1-10.1; 124 events).</p>
Risiko Dan Manajemen Risiko Terhadap Kecurangan Pengendalian Dan Akuntansi Manajemen

Field: Business, Management and Accounting (Social Sciences)

Recent global events, particularly the global financial crisis, have renewed and strengthened interestin risk and the types of systems used to manage it. One area that has received relatively little attentionis risk, risk management, and the interrelationships between managerial accounting and managementpractices. The methodology used in this research is library research. Processes related to therelationship between observed phenomena to the dynamics of the relationship, always use scientificlogic. Although the data source for this research is a secondary data source consisting of significantprevious scientific research articles in the form of books and other scientific works containing differentperspectives. This research provides an introduction to risk in management accounting and control anda special edition of the Journal of Risk Management. It is argued that risks and how they are managedhave become a hallmark of organizational life in both the public and private sectors. By changingorganizational practices, risk management can facilitate and justify certain types of organizations. Itcan change the boundaries of responsibility and accountability in an organization by representing acertain way of organizing individuals and activities. In addition, it is said that risk management is amajor issue because it has moved from a purely financial issue (risk assessment, derivatives, etc.) oraccounting (financial report disclosure, etc.) to one of business controls. An area where managementaccounting should be involved. This article also examines the potential side effects of risk management,including issues of trust and accountability, but also focuses on managing secondary or defensive risksand reputational risks that arise.
An alternative fuzzy evaluation framework for supplier selection

Field: Decision Sciences (Social Sciences)

Organisations need for an effective supplier selection system towards attaining the competition advantages in the market. In this paper, we propose an alternative supplier selection framework integrated by fuzzy c-means, belief-based quality function deployment, fuzzy weighted average, and a proposed fuzzy decision measure. This framework consists of three phases. In the first phase, we present the potential assessments for a supplier selection and their uncertainty descriptions. We divide supplier assessments into two parts: 1) expert assessments using combined belief-based quality function deployment and fuzzy weighted average; 2) system assessments comprised of a multi input-single output system. In the second phase, we analyse uncertainties of both expert and current systems using the well-known fuzzy c-means. In the third phase, we propose a fuzzy decision measure to complete the supplier selection procedure with finding the most appropriate supplier. We apply this framework to supplier selection process of a Turkish Machinery Corporation.
Kansas Mycological Notes: 1946

Field: Agricultural and Biological Sciences (Life Sciences)

occurrence, distribution, severity, and importance of plant diseases, as well as similar notes on nonparasitic fungi in Kansas, was resumed for the year 1945. This constitutes the report covering the calendar year 1946. Herein are presented observations made by mycologists, plant pathologists, and others during travel made in all parts of the state and on disease specimens received for identification. A special effort is made to record pertinent facts regarding the plant diseases of major economic importance and the occurrence of diseases or fungi new to the state, or those assuming unusual importance.
Role of accelerator programs in early-stage startups : Case study Startup Journey

Field: Business, Management and Accounting (Social Sciences)

In order to solve issues of the contemporary world and attend human needs, the number of new startups has grown exponentially. However, as they increase numerically, earlier a looking for development support seems to be required. Offering a set of specific features, accelerator programs are an incubation mechanism that has been grabbing the attention in the business environment. Despite its progressive growth, its role remains still unclear. The current thesis aims to explore the effectiveness, the valuable aspects provided to startups and how they accelerate their learning. The data was collected through semi-structured interviews with ten participants of Startup Journey, accelerator program from the Entrepreneurship Society Boost Turku. The result shows evidence that taking part in the program culminated in a gain of knowledge of the venturers, as well as they felt accelerated afterward. Still, the sample emphasizes some crucial aspects provided by the programs to help their development. Lastly, was found two different settings of how accelerators accelerate the learning in such a short time. First, learning is accelerated by the mentors and the second, learning by cohort teams. Furthermore, this thesis aims to contribute to the research about accelerator programs.
Real-world Patient characteristics, Treatment Patterns and Costs in Relapsing Multiple Sclerosis Patients Treated With Glatiramer acetate, Dimethyl Fumarate Or Teriflunomide in Germany

Field: Medicine (Health Sciences)

Aim: To evaluate adherence, healthcare resource utilization (HRU) and costs for glatiramer acetate (GA; injectable), dimethyl fumarate (oral) and teriflunomide (oral) in relapsing multiple sclerosis. Patients & methods: Retrospective analyses of a claims database. Results: Teriflunomide patients were older with more co-morbidities and fewer relapses versus GA and dimethyl fumarate. GA patients were mostly disease-modifying therapies (DMTs)-treatment naive. Treatment adherence was 61-70%. All DMTs reduced HRU versus pre-index. Costs were comparable across cohorts. High adherence reduced hospitalizations and several costs versus low adherers. Conclusion: Adherence rates were high and comparable with all DMTs. Similar (and high) reductions in HRU and costs occurred with all DMTs. High adherence improved economic outcomes versus low adherence. Thus, investing in adherence improvement is beneficial to improve outcomes in relapsing multiple sclerosis.
Single Molecule Studies of Protein Folding Using Atomic Force Microscopy

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

Atomic force microscopy (AFM) offers new insights into the ability of proteins to resist mechanical force. The technique has been opened up by the availability of easy-to-use instruments that are commercially available, so that the technique no longer relies on the need to build instruments in the lab. Indeed it may become common for AFM instruments to sit beside stopped-flow apparatus in protein folding laboratories. In this chapter, we describe the instrument set-up, the preparation of suitable protein substrate, and the collection of data. Data selection and analysis are more complex than for conventional stopped-flow ensemble studies, but offer new insights into the function of proteins in vivo.