jimnoneill/paper-to-field-training huggingface dataset:
To See or Not to See: Communication, Cooperation and Co-creation in the Use of Liturgical Media Art in Protestant Worship

Field: Arts and Humanities (Social Sciences)

This research examines why churches are using Liturgical Media Art (LMA), specifically the use of projected or displayed images and texts, in their worship. Using a long term ethnographic study of four congregations, two in the UK and two in the USA, the research reveals a number of important issues for those who lead and those who prepare the materials used in the worship. The results show that LMA is providing added educational, missional and liturgical value through increased participation of the congregation in the worship of the churches researched. The research also identifies that those who lead worship, those who are the congregants in the worship and those who prepare the materials used in worship all have a very different perspective on the use of LMA. In seeking to understand the different approaches this research posits the role of self-esteem as a way of interpreting the three viewpoints. In looking at one possible measure of the effectiveness of LMA, this research examines the role of âsurpriseâ in relation to memory as well as how memory traits may be encoded so as to provide a long term retrieval of the images and associated service content. \n \nUsing the work of McLuhan as a lens to examine the way churches employ LMA, this research focuses on the learning that can be found when there are problems with the use of LMA and its presence in the worship becomes obvious. The research posits a number of outcomes for ministerial formation and ministry that would aid the use of LMA in worship today. The research draws on the work of many writers from various theological, sociological, philosophical disciplines to reflect theologically on the use of LMA in our worship today. It also briefly considers the new âenvironmental projectionâ being adopted in some churches. \n \nThis research confirms much of the anecdotal evidence offered for the use of LMA and adds to the current literature about the use of LMA
Characterization and correlation of pathogenicity of Botryodiplodia theobromae isolates, the causal agent of black root rot of mulberry (Morus spp.)

Field: Agricultural and Biological Sciences (Life Sciences)

The study reports the characterization of 10 isolates of mulberry black root rot causing fungus, Botryodiplodia theobromae obtained from the infected gardens of Karnataka, Andhra Pradesh and Tamil Nadu. The analysis based on cultural, morphological, pathogenicity and molecular markers (RAPD and SSRs) revealed significant variations among the isolates. Based on the disease reaction on susceptible V-1 variety, isolates were grouped as pathogenic (60%), moderate pathogenic (20%) and non-pathogenic (20%). Among all isolates, RAPDs revealed higher marker polymorphism however, based on Shannon’s Information Index (I) SSRs were more informative (0.781) compared to the former (0.444). Stepwise Multiple Regression Analysis (MRA) indicated a total of 5, 5 and 3 molecular markers were found to correlate with disease symptoms. Screening of germplasm using multiple strains of virulent isolates will enhance possibilities of locating diverse resistant genes. Pyramiding of these genes will aid in development of mulberry variety with durable resistance and sustainable sericulture.
Local Newspapers and the Shaping of Local Identity in North-East London, c.1885–1925

Field: Arts and Humanities (Social Sciences)

In the 1990 edited volume Investigating Victorian Journalism Michael Harris argued that the absence of London local newspapers 'from most views of the Victorian press seriously distorts the general picture' .1 His essay went on to describe some of the problems facing historians of the London local press, including the difficult subdivisions of London's political and community landscape and the loss of many of the publication records due to complex merger patterns. His complaint stands largely unanswered almost twenty years on, and the problems he identifies remain largely untackled. London's local history in general is under-researched, and newspapers are just one aspect of this; although some individual local studies have emerged since 1990 London local newspaper research has not kept up with the advances in other areas of newspaper history. Brake, Bell and Finkelstein's NineteenthCentury Media and the Construction of Identities (2000) discusses a wide variety of issues of personal, group, national and political identity, and they argue strongly for the interesting and appealing idea of a periodical text as a 'site for competing voices'.2 However, the volume still gives very little space to the idea of place identity on a small scale. In fact, Harris's arguments for the London local press are merely an extreme case for regional, provincial and local newspapers in general. The huge number of different titles, the difficulty of tracing related sources and the physical and temporal drawbacks of studying long print-runs make local newspaper research a sometimes daunting proposition. Yet local newspapers are often not merely the best available source for local history and community identity, but the only available source.
A comparison of three methods for automatic tree crown detection and delineation from high spatial resolution imagery

Field: Earth and Planetary Sciences (Physical Sciences)

This article compares the performance of three algorithms representative of published methods for tree crown detection and delineation from high spatial resolution imagery, and demonstrates a standardized accuracy assessment framework. The algorithms – watershed segmentation, region growing and valley-following – were tested on softwood and hardwood sites using Emerge natural colour vertical aerial imagery with 60 cm ground sampled distance and QuickBird panchromatic imagery with an 11˚ look angle. The evaluation considered both plot-level and individual tree crown detection and delineation results. The study shows that while all three methods reasonably delineate crowns in the softwood stand on the Emerge image, region growing provided the highest accuracies, with producer's and user's accuracy for tree detection reaching 70% and root mean square error for crown diameter estimation of 15%. Crown detection accuracies were lower on the QuickBird image. No algorithm proved accurate for the hardwood stand on either image set (both producer's and user's accuracies < 30%).
Sweet potato skin provides health benefits in Caenorhabditis elegans model

Field: Agricultural and Biological Sciences (Life Sciences)

We apply the Caenorhabditis elegans ( C. elegans ) model to assess functional foods and agricultural by products that potentially increase satiety, regulate food intake and improve insulin sensitivity. Sweet potato ( Ipomoea batatas ) is one of the most important food crops in the world offering fiber, carbohydrates, protein, vitamins, iron, and calcium. The sweet potato skin (SPS) a by‐product of processing is rich in anti‐oxidant phenolic compounds, fibers and other nutrients. We evaluated the effect of SPS on intestinal fat deposition (IFD), lifespan, and mRNA expression of ckr‐1, gcy‐8, cpt‐1, and cpt‐2 in the C. elegans model. Animals were fed with SPS (0%, 0.5%, 1%, and 3%) or SPS plus 2% glucose. Pharyngeal pumping rate (PPR), a surrogate marker of lifespan, was monitored periodically. At the end of the study, Nile red, a fluorescent lipid staining dye, was applied to the worms. Fluorescent microscopy of Nile red was used as a qualitative measure of the IFD. The SPS sustained PPR in wild type C. elegans (N2), sir‐2.1(ok434)IV or daf‐16(mgDf50)I null mutants. In the presence of 2% glucose, the PPR was elevated in sir‐2.1(ok434)IV or daf‐16(mgDf50)I . The IFD was reduced in wild type C. elegans (N2), but increased in sir‐2.1(ok434)IV by SPS treatments. These data suggested that SPS reduces IFD and sustain lifespan in C. elegans model. The use of the SPS as a food ingredient has potential to help control weight in humans. The neuronal control of the fat deposition requires further clarification. The nematode strains used in this work were provided by the Caenorhabditis Genetics Center (University of Minnesota, MN), which is funded by the NIH National Center for Research Resources (NCRR). Support: LSU AgCenter, LA BoR (LEQSF(2010–13)‐RD‐B‐02), and ConAgra Foods ® Inc., ConAgra Mills™.
Engage Students with Feedback‐Driven Metacognition

Field: Psychology (Social Sciences)

Cognitive scientists have developed evidence-based recommendations for improving students' metacognition by incorporating frequent feedback. In order to examine metacognition scientifically, researchers ask students to make two types of ratings: judgments of learning (JOLs), and confidence judgments. The illusion of fluency and illusion of confidence are intertwined, and both illusions can be detrimental to student learning. If learning feels fluent, students may be overconfident in their own learning. Students' confidence-accuracy mismatches (incorrect answers with high confidence and correct answers with low confidence) can be remedied with feedback. The chapter presents specific recommendations for fostering metacognition based on a wealth of scientific research and years of classroom practice. Research in laboratories and classrooms indicate that metacognition can also be improved using Metacognition Sheets. With Metacognition Sheets, students make JOLs and/or confidence ratings during learning. By teaching the students to identify what they know and what they do not know, feedback-driven metacognition becomes a valuable Power Tool.
NPK Analysis for Plants Using Convolutional Neural Networks

Field: Computer Science (Physical Sciences)

This research paper explores the field of automated plant identification and nutritional analysis using the advanced convolutional neural network (CNN). Convolutional Neural Networks (CNNs) is being used to predict the plant species of inputted plant images, along with it should also predict the NPK(Nitrogen , Phosphorous , Potassium) ratios. For this the images is first reshaped frame by frame and with the help of CNN it predict the plant species name, after predicting the plant species the corresponding NPK ratio needed for proper growth of that particular inputted plant should be predicted. To display this all process the streamlit interface which is a python library and it provides a user friendly interface to upload the image and display the output.
[Nursing basics in anesthesia: material to carry out regional anesthesia technics].

Field: Nursing (Health Sciences)

Nursing career tend to specialize more each time in the different specialties, for this reason the introduction of the specialist nurse in anaesthesia required a specific knowledge on this medical discipline. The evolution of technologies applied to the design of new needles, echography machines and other equipment for regional anaesthesia techniques make essential to update of our knowledge in this area. This piece of work pretend to show the readers (nurses working in anaesthesia and others practitioners involved in surgical areas or pain management) a current view about the material and other instruments, mostly used in the different types of nerve blocks in regional anaesthesia. The aim of this, is provided an easy introduction of the regional anaesthesia to the junior practitioners, and updated evidence to the senior practitioner. The work is structured in a classic way: introduction, central blocks (subarachnoid and epidural), peripheral blocks, regional intravenous anaesthesia, eye block, asepsis and conclusions.
Marine Natural Occurring 2,5-Diketopiperazines: Isolation, Synthesis and Optical Properties

Field: Chemistry (Physical Sciences)

Seven 2,5-diketopiperazines (DKPs) were isolated from the Fijian marine sponge Acanthella cavernosa. NMR and circular dichroism (CD) comparison with synthetic L-L DKPs allowed us to determine unambiguously the L-L absolute configuration of the natural DKPs. This work initiated the setting up of an optical properties database of natural DKPs, including specific rotation and CD.\n
INDONESIA’S DEATH PENALTY EXECUTION FROM THE REALIST VIEW OF INTERNATIONAL LAW

Field: Social Sciences (Social Sciences)

During the first half of 2015, Indonesia executed fourteen prisoners who had been convicted of smuggling drugs to and from Indonesia. Twelve of them were foreigners. This execution led to withdrawal of the ambassador of Brazil, Netherlands, and Australia, whose citizens are among those executed. Criticism came from around the world, and small number of Indonesians. Most critics cited human rights abuse; and death penalty is against international law. However, the lack of further explanation can make the statement misunderstood. The distinctive nature of international law is one factor that makes death penalty issue is still debatable. Another factor is the inconsistent world’s reaction on human rights issues, showing realistic behavior in international relations. Therefore it is important to understand the nature of international law from the realist perspective of international relations in explaining death penalty in Indonesia. The purpose of this paper is to elaborate Indonesia’s death penalty from the realist perspective of international law.Keywords: realism, international law, international relations, death penalty
The Effect of Human Development Index Towards Economic Growth in Bandung Barat Regent

Field: Economics, Econometrics and Finance (Social Sciences)

Human development is an integral part of an economic growth of a country not to mention the regent or province in the country. Bandung Barat Regent or also known as Kabupaten Bandung Barat is a new region that was established not more than 6 years ago. The establishment of the new district was the result of UU No. 12 Year 2007 on Kabupaten Bandung Barat. In the beginning of its establishment, there are problems that the government body of Bandung Barat regent must face. Problems such as infrastructure, road, banking industry, cooperation and health facility are some of the problems. Nevertheless, Bandung Barat regent has gone through a milestone, as government with its policy has make Bandung Barat flourished and shows growth in its economy. The study looks on the growth of human development and the economy of Bandung Barat regent. The result of the study shows that there is a significant correlation between human development index in terms education and economic growth of Bandung Barat Regent (I = 0.039) and also between average human development index and economic growth of Bandung Barat (I = 0.012). Thus, they are each contributing to the increase of economic growth 92.4% and 97.%, respectively.Keywords: Bandung Barat, Human Development Index, Economic Growth
Predicting 30-day survival after in-hospital cardiac arrest: a nationwide cohort study using machine learning and SHAP analysis

Field: Medicine (Health Sciences)

Objective In-hospital cardiac arrest (IHCA) presents a critical challenge with low survival rates and limited prediction tools. Despite advances in resuscitation, predicting 30-day survival remains difficult, and current methods lack interpretability for timely decision-making. This study developed a machine learning (ML) model to predict 30-day survival after IHCA, using peri-arrest variables available on the rescue team’s arrival, while ensuring a balance between predictive accuracy and clinical interpretability through Shapley Additive Explanations (SHAP). Design A nationwide, registry-based observational study. Setting Data were sourced from the Swedish Cardiopulmonary Resuscitation Registry (2010–2020), merged with the Patient Registry. Participants We analysed 25 905 IHCA cases with attempted resuscitation, of which 8166 patients survived for 30 days. Outcome measure and analysis 30-day survival after IHCA was the outcome measure. An ML model was developed using fivefold cross-validation. Key predictors were identified through in-built variable importance and validated using SHAP. Model performance was evaluated with metrics such as area under the receiver operating characteristics (AUROC), calibration, sensitivity, specificity, false negative rate (FNR) and F-score. Results The CatBoost model achieved an AUROC of 0.9136 (95% CI 0.9075 to 0.9191) with all features, and 0.9034 (95% CI 0.8955 to 0.9037) with the top 15 features, along with Brier scores of 0.1028 and 0.1103, respectively. Performance plateaued after including the top 15 predictors, with few key variables, such as epinephrine administration, age, initial rhythm, ROSC within 15 min, breathing on rescue team arrival and witnessed cardiac arrest, being most influential. The model showed strong calibration for patients with low predicted survival probabilities and demonstrated high sensitivity with a low FNR across relevant survival thresholds. Conclusion The CatBoost model provides an effective and interpretable tool for predicting 30-day survival after IHCA. Key predictors such as epinephrine administration, age and initial rhythm inform clinical decision-making. This model has strong clinical utility and can be externally validated via the open-access Application Programming Interface (API) at www.gocares.se
Buellia tesserata and dimelaena radiata, two closely related species

Field: Agricultural and Biological Sciences (Life Sciences)

Abstract The morphology, anatomy, ecology and distribution of Buellia tesserata and Dimelaena radiata are discussed. New data on their chemistry are given. The present study reveals a very close relationship between both taxa and consequently their different generic position is questioned. Buellia fimbriata is reduced to synonymy with Buellia tesserata .
Do dialogic teaching models always guarantee empowering the student’s voice in classroom dialogue?

Field: Arts and Humanities (Social Sciences)

This paper challenges the prevailing assumption that dialogic teaching models always guarantee empowering the student’s voice. It shows that the strict adherence of classroom dialogue to the model’s protocol may inhibit the unique expression of students. In the first section, I discuss the aspect that every classroom dialogue is different from the other and, as such, cannot always be perceived as being produced solely from the parameters of dialogic teaching models. To substantiate this argument, I employ Derrida’s analysis of the example as a force that consistently exceeds the boundaries of the exemplary. The second section deals with the issue of how a classroom dialogue can effectively empower the student’s voice using a critical appropriation of the paradigmatic conditions of dialogic teaching. Drawing on Derrida’s concept of ethical responsibility as a process resulting from how we use something for a specific purpose, I point out that adoption and adaptation allow us to be more creative in our use of the protocols of dialogic teaching models for classroom dialogue. The concluding remarks again indicate the complexities of balancing pedagogical strategies between the hegemonic structuring of classroom dialogue from dialogic teaching models and the organic development of students’ voices.
A Machine‐Learning Approach for Earthquake Magnitude Estimation

Field: Earth and Planetary Sciences (Physical Sciences)

Abstract In this study, we present a fast and reliable method for end‐to‐end estimation of earthquake magnitude from raw waveforms recorded at single stations. We design a regressor (MagNet) composed of convolutional and recurrent neural networks that is not sensitive to the data normalization, hence waveform amplitude information can be utilized during the training. The network can learn distance‐dependent and site‐dependent functions directly from the training data. Our model can predict local magnitudes with an average error close to zero and standard deviation of ~0.2 based on single‐station waveforms without instrument response correction. We test the network for both local and duration magnitude scales and show a station‐based learning can be an effective approach for improving the performance. The proposed approach has a variety of potential applications from routine earthquake monitoring to early warning systems.
A Study on Design of Communication Protocol for CPS Simulation

Field: Computer Science (Physical Sciences)

The term “cyber-physical system (CPS)” refers to a computing system that integrates physical processes and computational devices via a network. There are many physical and computational devices in a CPS, which can function automatically through inter-device interactions. Because a CPS is usually used for large-scale complex systems, to ensure reliable CPS operation, its design and execution should be verified through simulations. For CPS simulation, a communication protocol should be established for data transmission between physical systems and the corresponding simulation models during the simulation, including control algorithms for regulating differences between the two systems. First, because physical systems and simulation models are advanced in real time and logical time, respectively, time regulation methods should be included in the control algorithm. Second, to simulate various types of physical systems, a flexible simulation environment, independent of the operating environment such as the type of communication middleware, is required. In this paper, we propose a communication protocol for data transmission between physical systems and simulation models via a middle layer that contains the policies for handling the two different clocks of each system: virtual and real. The proposed communication protocol can be used not only for communication between the two systems but also for overcoming the problems caused by the differences in their operating environments. The contribution of this work is in that it defines a communication protocol and proposes methods for controlling different types of systems.
Effectiveness of granular matrix sensors in different irrigation treatments and installation depths

Field: Agricultural and Biological Sciences (Life Sciences)

Continuous monitoring of soil moisture content plays a key role in irrigation scheduling and yield formation. This study was conducted to derive the technique and efficiency of application of granular matrix sensors (GMSs) in a sprinkler irrigation system of maize (Zea mays L.). Two irrigation (a2 = 60%- 100% of field capacity (FC), a3 = 80%-100% of FC) treatments were imposed during two growing seasons (2010, 2012) and compared with rainfed control plots (a1). GMSs are used as an indirect method for monitoring soil water status at two depths (b1 = 15 cm and b2 = 30 cm) in order to make a decision on when to irrigate. The sensors used in this study were calibrated using a mass-based gravimetric method. In both growing seasons, irrigation treatment and installation depths have a significant influence (P<0.01) on soil water content. Sensors have shown a satisfactory response to wetting and drying periods in irrigation scheduling at 30-cm depth. Yet, due to variability of weather conditions, a slow response to wetting and drying was recorded in periods with intensive rainfall events (2010) and drought conditions with frequent irrigation intervals (2012).