jimnoneill/paper-to-field-training huggingface dataset:
STUDIES ON PHOTOPHOSPHORYLATION. X. MECHANISM OF "OXIDATIVE PHOTOPHOSPHORYLATION".

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

The light-induced adenosine triphosphate(ATP) formation by isolated chloroplasts in the presence of reduced indophenol dyes was first discovered by Krogmann in 1959.There were two observations which made the same author to exclude it from the natural inference that the reduced dye is first oxidized and then serves as a cyclic cofactor like, e.g., PMS:(1)lack of ATP formation during the photoreduction of indophenol dyes, and(2)the oxygen-dependency of ATP formation in the reduced indophenol dye system. Hence this type of photophosphorylation has since been called“oxidative photophosphorylation”...
A time-changed stochastic control problem and its maximum principle theory

Field: Mathematics (Physical Sciences)

This paper studies a time-changed stochastic control problem, where the underlying stochastic process is a Lévy noise time-changed by an inverse subordinator. We establish a maximum principle theory for the time-changed stochastic control problem. We also prove the existence and uniqueness of the corresponding time-changed backward stochastic differential equation involved in the stochastic control problem. Some examples are provided for illustration.
A Library of Noviosylated Coumarin Analogues

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

The DNA gyrase inhibitor, novobiocin, was recently shown to inhibit Hsp90 via a previously unrecognized C-terminal ATP-binding site. Previous structure-activity relationship studies identified key moieties that appear important for Hsp90 inhibitory activity. In an effort to provide a more efficacious lead compound, a parallel library of noviosylated coumarin analogues was prepared.
Integration of Clouds to Industrial Communication Networks

Field: Engineering (Physical Sciences)

Cloud computing, owing to its ubiquitousness, scalability and on-demand ac- cess, has transformed into many traditional sectors, such as telecommunication and manufacturing production. As the Fifth Generation Wireless Specifica- tions (5G) emerges, the demand on ubiquitous and re-configurable computing resources for handling tremendous traffic from omnipresent mobile devices has been put forward. And therein lies the adaption of cloud-native model in service delivery of telecommunication networks. However, it takes phased approaches to successfully transform the traditional Telco infrastructure to a softwarized model, especially for Radio Access Networks (RANs), which, as of now, mostly relies on purpose-built Digital Signal Processors (DSPs) for computing and processing tasks.On the other hand, Industry 4.0 is leading the digital transformation in manufacturing sectors, wherein the industrial networks is evolving towards wireless connectivity and the automation process managements are shifting to clouds. However, such integration may introduce unwanted disturbances to critical industrial automation processes. This leads to challenges to guaran- tee the performance of critical applications under the integration of different systems.In the work presented in this thesis, we mainly explore the feasibility of inte- grating wireless communication, industrial networks and cloud computing. We have mainly investigated the delay-inhibited challenges and the performance impacts of using cloud-native models for critical applications. We design a solution, targeting at diminishing the performance degradation caused by the integration of cloud computing.
Concurrent Constraint Conditional-Branching Timed Interactive Scores

Field: Computer Science (Physical Sciences)

Multimedia scenarios have multimedia content and interactive events associated with computer programs. Interactive Scores (IS) is a formalism to represent such scenarios by temporal objects, temporal relations (TRs) and interactive events. IS describe TRs, but IS cannot represent TRs together with conditional branching. We propose a model for conditional branching timed IS in the Non-deterministic Timed Concurrent Constraint (ntcc) calculus. We ran a prototype of our model in Ntccrt (a real-time capable interpreter for ntcc) and the response time was acceptable for real-time interaction. An advantage of ntcc over Max/MSP or Petri Nets is that conditions and global constraints are represented declaratively.
Cardiac Strain Imaging with Dynamically Skipped Frames: A Simulation Study

Field: Medicine (Health Sciences)

Accurate lateral displacement estimation is a critical requirement to reliably use cardiac strain imaging for myocardial health or carotid strain imaging to assess atherosclerosis. Estimation of small lateral displacements are challenging even with 2-D kernels. We investigate the feasibility of using a dynamic frame skip (DFS) approach to improve lateral strain estimation for cardiac and carotid strain imaging. DFS automatically determines the optimal frame skip using axial strain information estimated during displacement tracking. We incorporated DFS into a hierarchical Bayesian regularization based displacement tracking method for cardiac and carotid strain imaging. A finite element analysis (FEA) model of canine cardiac deformation was utilized to quantify estimation performance with DFS and compare against conventional inter-frame displacement (CFS) approach. DFS displacement and strain temporal curves showed improved qualitative agreement with FEA ground truth compared to CFS results. Consequently, DFS had lower strain total temporal relative (TTR) strain errors (TTRaxial= 18.37 %, TTRlateral= 29.91 %, TTRradial = 17.32 %, and TTRlongitudinal = 14.51 %) compared to CFS (TTRaxial= 22.39 %, TTRlateral = 30.88 %, TTRradial = 22.35 %, and TTRlongitudinal= 15.87 %). These results show that DFS can potentially improve cardiac strain estimation quality.
AKTIVITAS ANTIMIKROBA DARI EKSTRAK DAN FRAKSI ORGANISME LAUT SPONS Stylissa carteri YANG DIKOLEKSI DARI PERAIRAN SELAT LEMBEH KOTA BITUNG

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

ABSTRACTSponge is a multi-cell marine biota whose tissue and organ functions are very simple. Sponges have considerable potentially in producing active compounds that can be used in the pharmaceutical world. This study aimed to determine the presence of antimicrobial activity from extracts and fractions of the Stylissa carteri Sponge on against the microbes of Staphylococcus aureus, Escherichia coli, and Candida albicans. The extraction process was carried out by maceration using ethanol solvent, and fractionation was carried out using methanol, n-hexane and chloroform solvents. Antimicrobial activity was carried out by disk diffusion agar method. The results showed that the crude ethanol extracts and methanol fractions of the Stylissa carteri sponge actively inhibited the growth of Staphylococcus aureus, Escherichia coli, and Candida albicans microbes. Keywords: Stylissa carteri, antimicrobial, Staphylococcus aureus, Escherichia coli, Candida albicans. ABSTRAKSpons merupakan biota laut multi sel yang fungsi jaringan dan organnya sangat sederhana. Spons memiliki potensi cukup besar dalam menghasilkan senyawa aktif yang dapat digunakan dalam dunia farmasi. Penelitian ini bertujuan untuk menentukan adanya Aktivitas Antimikroba dari ekstrak dan fraksi Spons Stylissa carteri terhadap mikroba Staphylococcus aureus, Escherichia coli, dan Candida albicans. Dilakukan proses ekstraksi dengan cara maserasi terhadap sampel menggunakan pelarut etanol, dan dilakukan fraksinasi menggunakan pelarut metanol, n-heksan dan kloroform. Aktivitas antimikroba dilakukan dengan metode difusi agar. Hasil penelitian menunjukkan bahwa ekstrak kasar dan fraksi metanol dari spons Stylissa carteri aktif menghambat pertumbuhan mikroba Staphylococcus aureus, Escherichia coli, dan Candida albicans. Kata Kunci : Stylissa carteri, antimikroba, Staphylococcus aureus, Escherichia coli, Candida albicans.
Radhica flavovittata subsp. flavovittata Moore 1879

Field: Agricultural and Biological Sciences (Life Sciences)

88. Radhica flavovittata flavovittata Moore, 1879b: 79 TL: [Uttarakhand], Nainital. TD: lectotype, male, ZMHU. Distribution in India: Himachal Pradesh (Dharamshala), Uttarakhand (Mussoorie, Nanital), Kashmir (Hampson 1892, Fletcher 1925), Maharashtra (Mitra et al. 2019, Shubhalaxmi et al. 2011); Arunachal Pradesh (Sondhi et al. 2021). Global records: Nepal, Southern China, Taiwan, Bhutan, Myanmar, northern Thailand, Laos, Vietnam, Sumatra, Borneo, Peninsular Malaysia (Hauenstein et al. 2011) Remark: Radhica flavovittata puana Zolotuhin, 1995 is known from Thailand.
Preliminary Exploration of Wild Medicinal Plants from Jinta County

Field: Agricultural and Biological Sciences (Life Sciences)

The resources of wild medicinal plants from Jinta county were surveyed with the methods of field investigation,specimens identification,literature review,statistical analysis to provide reference for rational development of medicinal resources.The data showed that there were 189 species of wild medicinal plants,which belonged to 47 families and 121 genera.Among them,there were six families containing more than ten species of medicinal plants,counting for 82 species and 54 genera;three genera containing more than five species,21 species in all.So there are plentiful of wild medicinal plants in Jinta County,which should be put into rational uses for the utilization and sustainable development.
Exploring English language teachers' classroom assessment practices of class VIII in Larkano, Sindh

Field: Social Sciences (Social Sciences)

Formative assessment is important in education improvement as it provides instant opportunities to reflect and improve teaching and learning process. There is a dearth of literature on formative classroom assessment practices in Pakistan, and particularly in Sindh. Therefore, this research study explored teachers' classroom assessment practices in English language class VIII. The study was focused to explore the relationship of English language learning and formative assessment in class VIII. In this study qualitative cases study design was adopted in order to explore the phenomenon in the context of Larkano, Sindh. In order to respond the research question the semi-structured interviews, classroom observation and focused group discussion were used as data collection tools. The analysis of the data was carried out using qualitative data analysis approach (Yin, 2009). The participants of the study were the two English teachers (primary participants) and twelve students (secondary participants): six students from each participant teachers' class. The findings revealed that there are many factors that contribute towards assessment practices in classroom such as personal and professional perceptions, experiences and beliefs of teachers, classroom assessment resources, physical structure of the school building, and the textbooks. The teachers adopt subject-based approach to teach English rather than skilled based approach due to contextual constraints and limitations. The study suggests that English teachers professional development courses in formative assessment may be arranged for English language teachers in order to enhance their personal and professional skills.
Two Neighbors, One Vision? The Impact of the European Union's Accession on the Development of Sociology in the Common Border Region Slovenia and Southern Austria. PhD thesis, University of Graz.

Field: Social Sciences (Social Sciences)

This dissertation thesis in the sociology of knowledge investigates the impact of European Union's research policies on the formation of sociology as a scientific discipline. From a comparative perspective, Slovenia and Austria as two small Central European neighbour states and their common border region are taken as a case study, applying a mixed methods design. Based on extensive empirical data analyses with a strong focus on scientific institutions, findings show enabling and constraining effects of opportunity structures given by Europeanization of research policies. Transnational cooperation of scholars contributes to a stock of knowledge more and more known as European sociology.
Characteristics and Outcomes after Whole Brain Radiotherapy for Brain Metastases in a Large AUn Study

Field: Medicine (Health Sciences)

Poster: RANZCR ASM 2011 / R-0138 / Characteristics and Outcomes after Whole Brain Radiotherapy for Brain Metastases in a Large AUn Study by: Windsor, E.-S. Koh, S. Allen1, A. Yeo1, R. Allison2, M. Barton; 1Liverpool/AU, 2Brisbane/AU
LETTER FROM BRIGHAM YOUNG

Field: Arts and Humanities (Social Sciences)

Research Article| January 01 1931 LETTER FROM BRIGHAM YOUNG BRIGHAM YOUNG BRIGHAM YOUNG Search for other works by this author on: This Site Google Utah Historical Quarterly (1931) 4 (1): 24. https://doi.org/10.2307/45057513 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation BRIGHAM YOUNG; LETTER FROM BRIGHAM YOUNG. Utah Historical Quarterly 1 January 1931; 4 (1): 24. doi: https://doi.org/10.2307/45057513 Download citation file: 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 Scholarly Publishing CollectiveUniversity of Illinois PressUtah Historical Quarterly Search Advanced Search The text of this article is only available as a PDF. Article PDF first page preview Close Modal You do not currently have access to this content.
Column Generation Algorithms for Constrained POMDPs

Field: Computer Science (Physical Sciences)

In several real-world domains it is required to plan ahead while there are finite resources available for executing the plan. The limited availability of resources imposes constraints on the plans that can be executed, which need to be taken into account while computing a plan. A Constrained Partially Observable Markov Decision Process (Constrained POMDP) can be used to model resource-constrained planning problems which include uncertainty and partial observability. Constrained POMDPs provide a framework for computing policies which maximize expected reward, while respecting constraints on a secondary objective such as cost or resource consumption. Column generation for linear programming can be used to obtain Constrained POMDP solutions. This method incrementally adds columns to a linear program, in which each column corresponds to a POMDP policy obtained by solving an unconstrained subproblem. Column generation requires solving a potentially large number of POMDPs, as well as exact evaluation of the resulting policies, which is computationally difficult. We propose a method to solve subproblems in a two-stage fashion using approximation algorithms. First, we use a tailored point-based POMDP algorithm to obtain an approximate subproblem solution. Next, we convert this approximate solution into a policy graph, which we can evaluate efficiently. The resulting algorithm is a new approximate method for Constrained POMDPs in single-agent settings, but also in settings in which multiple independent agents share a global constraint. Experiments based on several domains show that our method outperforms the current state of the art.
Susceptibility of N Gonorrhoeae to Antibiotics: Study of 200 Consecutive Strains Isolated in Winnipeg in 1962

Field: Medicine (Health Sciences)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA HomeNew OnlineCurrent IssueFor Authors Publications JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) Podcasts Clinical Reviews Editors' Summary Medical News Author Interviews More JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA journal
Peatland warming strongly increases fine-root growth

Field: Environmental Science (Physical Sciences)

Significance Peatlands store up to two-thirds of the world’s soil carbon, but this carbon may be released under warmer conditions, creating an important climate feedback. The belowground warming response of peatlands is particularly uncertain even though factors such as plant root growth regulate ecosystem water, carbon, and nutrient cycles. We studied how peatland fine roots respond to warming in a whole-ecosystem experiment. Fine-root growth increased dramatically, +130% for a degree of warming, primarily driven by soil drying. This warming response is 20 times stronger than in other ecosystem experiments, highlighting peatland vulnerability to warming. Our study elucidates large and rapid belowground changes that will affect peatlands of a warmer world and their ability to store carbon into the future.
A simple nitrate submodel for trickle fertigated potatoes

Field: Agricultural and Biological Sciences (Life Sciences)

Abstract A simple nitrate dynamics submodel capable of predicting the spatial distribution of NO 3 ‐N within the soil profile following N fertigation with urea through trickle irrigation has been formulated and validated. The model utilizes a best‐fit nitrification function which, on a particular day, converts a given quantity of urea into nitrate and also incorporates the cumulative effect of previous fertigations. The daily updated values of NO 3 ‐N of soil layers have been obtained by deducting the N‐uptake by plants calculated on the basis of root length present. The predicted values of NO 3 ‐N have matched reasonably well with the observed data. Copyright © 2002 John Wiley & Sons, Ltd.
Knowledge of Avulsion of Permanent Teeth Emergency Management Among Undergraduate in Brazilian Health Care Students

Field: Health Professions (Health Sciences)

Objective: To assess the knowledge of undergraduate health care students, about avulsion of permanent teeth. Material and Methods: It is a cross-sectional study. The sample consisted of Brazilian undergraduate students of the nursing, medicine, and dentistry degree programs. A structured questionnaire developed by the researchers, containing 18 objective questions about avulsion of permanent teeth was used as the data collection. Data analysis included Pearson's Chi-square and Fisher's Exact. Results: A total of 82.7% dental students, 22.9% nursing students, and 23% medical students had previously received some information about dental trauma. Students in the second half of the dentistry program had a higher percentage of correct answers in all questions (p<0.05). Being in the first or second half of the nursing program had no relation to the percentage of correct answers by students for any questions (p>0.05). Students in the first half of the medical program had a higher percentage of correct answers for six of these questions (p<0.05). Dentistry students had the highest percentage of correct answers in all the questions (p<0.001). Conclusion: Although students from the dentistry degree program report having information on avulsion of permanent teeth, their practical experience was considered low. Upon comparing students from the dentistry, nursing, and medical degree programs regarding their learning about avulsion of permanent teeth, dentistry students had greater knowledge on the subject.
Measuring the Intracluster Light Fraction with Machine Learning

Field: Computer Science (Physical Sciences)

Abstract The intracluster light (ICL) is an important tracer of a galaxy cluster’s history and past interactions. However, only small samples have been studied to date due to its very low surface brightness and the heavy manual involvement required for the majority of measurement algorithms. Upcoming large imaging surveys such as the Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) are expected to vastly expand available samples of deep cluster images. However, to process this increased amount of data, we need faster, fully automated methods to streamline the measurement process. This paper presents a machine learning model designed to automatically measure the ICL fraction in large samples of images, with no manual preprocessing required. We train the fully supervised model on a training data set of 50,000 images with injected artificial ICL profiles. We then transfer its learning onto real data by fine-tuning with a sample of 101 real clusters with their ICL fraction measured manually using the surface brightness threshold method. With this process, the model is able to effectively learn the task and then adapt its learning to real cluster images. Our model can be directly applied to Hyper Suprime-Cam images, processing up to 500 images in a matter of seconds on a single GPU, or fine-tuned for other imaging surveys such as LSST, with the fine-tuning process taking just 3 minutes. The model could also be retrained to match other ICL measurement methods. Our model and the code for training it are made available on GitHub.
A Case of Clomipramine-Induced Chronic Dilated Cardiomyopathy

Field: Medicine (Health Sciences)

Dilated cardiomyopathy is a primary myocardial disease characterized by ventricular dilatation and impaired ventricular contractility. The etiology of dilated cardiomyopathy has not been known yet, but toxin such as alcohol, thiamine deficiency, endocrine disorder, viral or bacterial infection, hereditary disorder, and muscular dystrophy may be related to dilated cardiomyopathy. Cocaine abuse and anticancer drugs (especially doxorubicin) were reported as the causes of drugs of dilated cardiomyopathy also. Recently we experinced a case of dilated cardiomyopathy in 30 years old man who developed dilated cardiomyopathy on chronic clomipramine (one of trcyclic antidepressant drugs) treatment for a obsessive-compulsive disorder. He became asymptomatic and normalization of left ventricular diameters and function was evidenced echocardiographically after withdrawal of the drug. The possible association of cardiomyopathy and tricyclic antidepressant drugs and possibility of functional improvement after tricyclic antidepressant drugs withdrawal should be kept in mind. (Korean Circulation J 1998;28(8):1393-1397)