jimnoneill/paper-to-field-training huggingface dataset:
&lt;i&gt;Phyllanthus emblica Linn.&lt;/i&gt; (Amla) - A Natural Gift to Humans: An Overview

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Medicinal plants are the precious gift of nature which plays vital role in healthcare system of developing nation and potent source of medicament to heal various diseases in the world. It plays a vital role to preserve our health. Medicinal plants are believed to be much safer. These days, the use of herbal products has become the foremost option for human all over the world because of curing treatment without any side effect. Ayurveda, the oldest health system in the world, provokes the uses amla to treat a host of diseases and promote positive health. It is a well-known fact that all parts of amla are useful in the treatment of various diseases. Among all, the most important part is fruit. Amla fruit is the richest source of vitamin C. Chemical composition of the amla fruit contains more than 80% of water. It also contains protein, carbohydrates, fiber, amino acids and minerals such as calcium, phosphorus, iron, niacin, carotene, thiamine, riboflavin etc. The chemical constituents present in the plant include tannins, gallic acid, ellagic acid, emblicol, phyllembin, lupeol, essential oil, fixed oil etc. Amla fruit is widely used as diuretic, laxative, liver tonic, antipyretic, hair tonic, ulcer preventive and for common cold, fever as alone or in combination with other plants. Research reports on amla reveals its analgesic, anti-tussive, cardioprotective, cytoprotective, immunomodulatory, chemopreventive, antioxidant, memory enhancing, anticancer, antidiabetic and some others properties. In this article, we review the morphology, distribution, nutritional value, chemical constituents, medicinal uses of amla.
Catholics and Anglicans: James II and Catholic supremacy

Field: Arts and Humanities (Social Sciences)

To be a Catholic in seventeenth-century England was to court opprobrium, social exclusion, and political suspicion. While in practice Englishmen co-existed with their Catholic neighbours, they feared and reviled the vaguer bogeyman of the papist. The spectre of popery haunted British kings and it twice derailed Stuart monarchs, in the mid-century Civil Wars and in the Revolution of 1688. If Charles I had lost his kingdoms because he was thought to have countenanced creeping crypto-Catholicism at court, and Charles II had been rocked by the Exclusion Crisis partly over fears of a popish successor, what chance did a dedicated overtly Catholic king have? James’s vow upon his accession to ‘preserve the government in Church and State as it is by law established’ might have provided limited reassurance when the nation called to mind similar early promises by the previous Catholic monarch, Mary I. From the incense burned at the Mass which James attended nine days after his accession Protestant nostrils imbibed no holy aroma, but rather the acrid whiff of Smithfield flames.
Challenges And Opportunities In Analytic-Predictive Environments Of Big Data And Natural Language Processing For Social Network Rating Systems

Field: Computer Science (Physical Sciences)

Social Media is playing a key role in today's society. Many of the events that are taking place in diverse human activities could be explained by the study of these data. Big Data is a relatively new parading in Computer Science that is gaining increasing interest by the scientific community. Big Data Predictive Analytics is a Big Data discipline that is mostly used to analyze what is in the huge amounts of data and then perform predictions based on such analysis using advanced mathematics and computing techniques. The study of Social Media Data involves disciplines like Natural Language Processing, by the integration of this area to academic studies, useful findings have been achieved. Social Network Rating Systems are online platforms that allow users to know about goods and services, the way in how users review and rate their experience is a field of evolving research. This paper presents a deep investigation in the state of the art of these areas to discover and analyze the current status of the research that has been developed so far by academics of diverse background.
AN ANALYSIS ON LEARNING LOSS AND HOLISTIC EDUCATION

Field: Arts and Humanities (Social Sciences)

<p><strong>Abstract</strong></p><p>Christian education views students as an image of God. During the pandemic of COVID-19, students encountered learning loss phenomena which has become a challenge for Christian schools. Thus, this study aims to elaborate the difference between Christian perspective and secular perspective toward the “learning loss’ phenomena; how important a holistic education is to be implemented in the classroom; and to explain the role of the teacher as a facilitator to implement holistic learning in the classroom. The research method used in this study is literature review. The result showed that students as the image of God should be valued as a whole person, not only partially as viewed from secular perspectives. Christian teachers need to be equipped to see and teach their students holistically, such as planning their lessons to be ‘contextual’ and relevant for their students in order to raise awareness for tolerance, empower their talents, and conduct learning processes through loving interaction and applying holistic assessments. A recommendation for further research is to implement holistic education at primary level and elaborate the challenges faced by the teacher.</p><p> </p><p><strong>Bahasa Indonesia Abstrak</strong></p><p>Pendidikan Kristen melihat siswa sebagai <em>Image of God</em>. Selama pandemi covid-19 siswa menghadapi satu fenomena, yaitu <em>Learning Loss</em>, di mana terdapat penurunan dalam proses pembelajaran siswa. Oleh karena itu, tujuan dari paper ini adalah untuk menjelaskan perbedaan antara sudut pandang kekristenan dengan sudut pandang sekuler terkait fenomena “<em>learning loss; </em>pentingnya penerapan pendidikan holistis di dalam kelas, dan menjelaskan peran guru sebagai fasilitator dalam mengimplementasikan pendidikan holistis di dalam kelas. Penelitian ini dilakukan menggunakan metode kajian literatur. Hasil penelitian menunjukkan bahwa murid sebagai <em>Image of God </em>seharusnya dididik sebagai manusia yang utuh, dan tidak hanya sebagian seperti halnya dalam pandangan sekuler. Guru Kristen harus diperlengkapi agar dapat melihat dan mengajar secara holistik. Misalnya, merencanakan pembelajaran yang kontekstual dan relevan untuk siswa agar dapat membangkitkan kesadaran mereka akan toleransi dan mengembangkan talenta mereka. Serta mengimplementasikan pendidikan holistik di dalam kelas melalui interaksi yang didasarkan pada kasih serta penerapan penilaian holistik kepada siswa. Sebagai rekomendasi, peneliti menyarankan agar penelitian selanjutnya berfokus pada penerapan pendidikan holistik kepada murid di Sekolah Dasar serta memaparkan tantangan-tantangan yang dihadapi oleh Guru.</p><p> </p><p><strong><br /></strong></p>
Development of a multibody model to assess efforts along the spine for the rehabilitation of adolescents with idiopathic scoliosis.

Field: Health Professions (Health Sciences)

This study revealed that the pathological efforts are not concentrated around critical points but distributed along the spine. Thus, higher average efforts along the spine in adolescent with IS may influence the spine deformity due to mechanical modulations according to the Hueter-Volkmann Law. The potential of this model is promising for the therapeutic follow-up of adolescents with IS because it provides real-time efforts along the spine, as well as the corresponding information about the asymmetrical behavior of the spine during gait.
Phospholipid composition of human gastric mucosa: a study of endoscopic biopsy specimens.

Field: Medicine (Health Sciences)

Gastric mucosal phospholipids, and in particular those of the surface layer, play an important part in mucosal barrier function. This study examined whether the phospholipid composition of the full thickness gastric mucosa is changed in peptic ulcer disease and gastritis. The phospholipid composition of gastric mucosa from endoscopic biopsy specimens in 28 subjects (eight healthy controls, 12 patients with duodenal ulcer, and eight with chronic atrophic gastritis) was studied. In addition, the phospholipid composition of gastric mucosa was compared with that of duodenal mucosa in 10 patients with duodenal ulcer. As expected phosphatidylcholine and phosphatidylethanolamine prevailed in all three groups. Lysolecithin was the smallest component in the duodenal ulcer and chronic atrophic gastritis groups. The phosphatidylethanolamine value was higher in duodenal ulcer and lower in chronic atrophic gastritis compared with the control group. In chronic atrophic gastritis there was an appreciable amount of phosphatidylglycerol that was not present in patients with duodenal ulcer or in the control group. There was no significant difference in phospholipid composition between antral and duodenal sites in duodenal ulcer patients. In conclusion, the phospholipid composition of gastric mucosa changes in human gastrointestinal diseases but its relation to cellular functions needs further study.
Supercritical Fluid Extraction and High-Performance Liquid Chromatographic Determination of Phloroglucinols in St. John's Wort (Hypericum perforatum L.)

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

A small-scale supercritical fluid extraction (SFE) method was developed for the selective extraction of phloroglucinols from St. John's wort (SJW) leaf/flower mixtures using supercritical carbon dioxide (CO(2)). The extraction efficiency was investigated as influenced by pressure, temperature, time, and modifier. The optimized condition of SFE was carried out at 3.80 x 10(4) kpa (5500 psi) and 50 degrees C. Samples were held in static extraction for 10 min, followed by a dynamic extraction for 90 min at the flow rate of 1 mL/min. A simple and sensitive HPLC method was developed for the analysis of hyperforin and adhyperforin, the major phloroglucinols, in the SFE extract of SJW.
Exponential Cluster Synchronization of Neural Networks with Proportional Delays

Field: Computer Science (Physical Sciences)

Exponential cluster synchronization of neural networks with proportional delays is studied in this paper. Unlike previous constant delay or bounded time delay, we consider the time-varying proportional delay is unbounded, less conservative, and more widely applied. Furthermore, we designed a novel adaptive controller based on Lyapunov function and inequality technique to achieve exponential cluster synchronization for neural networks and by using a unique way of equivalent system we proved the main conclusions. Finally, an example is given to illustrate the effectiveness of our proposed method.
Protein secondary structure prediction using deep convolutional neural fields

Field: Computer Science (Physical Sciences)

Protein secondary structure (SS) prediction is important for studying protein structure and function. When only the sequence (profile) information is used as input feature, currently the best predictors can obtain ~80% Q3 accuracy, which has not been improved in the past decade. Here we present DeepCNF (Deep Convolutional Neural Fields) for protein SS prediction. DeepCNF is a Deep Learning extension of Conditional Neural Fields (CNF), which is an integration of Conditional Random Fields (CRF) and shallow neural networks. DeepCNF can model not only complex sequence-structure relationship by a deep hierarchical architecture, but also interdependency between adjacent SS labels, so it is much more powerful than CNF. Experimental results show that DeepCNF can obtain ~84% Q3 accuracy, ~85% SOV score, and ~72% Q8 accuracy, respectively, on the CASP and CAMEO test proteins, greatly outperforming currently popular predictors. As a general framework, DeepCNF can be used to predict other protein structure properties such as contact number, disorder regions, and solvent accessibility.
COMPARISON OF INTRAMUSCULAR FAT QUALITY BETWEEN PIGLETS OF BÍSARO AND INDUSTRIAL BREEDS – A PRELIMINARY STUDY

Field: Agricultural and Biological Sciences (Life Sciences)

Selection for lean meat quality has led to a decrease in total fat contents compromising on meat palatability. Preliminary studies showed higher total intramuscular fat content in autochthones Bisaro breed when compared to piglets of industrial breed. Analysis of intramuscular fatty acid profile of the semimembranosus/semitendinosus muscles showed that Bisaro piglets had a significantly lower content of saturated fatty acid and higher levels of unsaturated fatty acids. The monounsaturated fatty acid (C18:1) content was significantly higher than that in industrial breed. Further studies are required as the breeding of animals, beneficial to human health, is important.
Phytophthora ramorum and P. kernoviae : regulation in the European union

Field: Agricultural and Biological Sciences (Life Sciences)

The history of the regulation of action against Phytophthora ramorum and P. kernoviae in the EU and U.K. is briefly summarised. For the former there are EU controls on the import of host plants, and the internal regime of plant passporting has been extended to cover Rhododendron, Viburnum and Camellia. There are also requirements relating to containment and eradication at infected nurseries. For P. kernoviae the U.K. has taken action through national legislation which includes the introduction of a management zone in the most heavily infected area of Cornwall. Some pilot work on the clearance of Rhododendron has also occurred. In the U.K. funding for the Phytophthora Programme will run out during 2007/08 and a scientific and policy review will take place in order to set the direction of long term policy for both pathogens. This will involve a public consultation later in 2007. Future policy actions are likely o be discussed in the EU Plant Health Standing Committee in 2008.
Functional Health Literacy in an Urban Primary Care Clinic. The Internet Journal of Advanced Nursing Practice 5(2

Field: Health Professions (Health Sciences)

Abstract The purpose of this study was to determine the level of functional health literacy in a sample of patients treated in 1of our 5 primary care clinics. A total of 92 randomly selected adults (mean age = 59 years) completed the TOFHLA while waiting for a scheduled appointment. Twenty eight percent of the sample had less than adequate levels of functional health literacy. Income, car ownership and education were significant and independent predictors of literacy level in this sample. Low levels of functional health literacy limit a patient&apos;s ability to read, understand and act on health information. It is essential that nurse practitioners and clinical nurse specialists use relevant cues to assess for illiteracy and modify their methods of providing health information when
The Distance Distribution of FHPPP Model in User-Centric Cooperative Wireless Network

Field: Computer Science (Physical Sciences)

In this paper, we propose a user-centric clustering scheme within a fixed region, where the remote radio head (RRH) location is constructed as finite homogeneous Poisson point process (FHPPP). Based on this scheme, virtual cells are divided into three categories: empty cells, single RRH cells, and multi-RRH cells. Among them, empty cells have no RRH to serve users, single RRH cells serve users with the nearest RRH, and multi-RRH cells serve users with the first two nearest RRHs. As a heuristic paper, we use stochastic geometry method to quantify the joint distance distribution of the top n nearest RRHs in FHPPP, which plays an important role in evaluating the impact of the cooperation of the top n nearest RRHs on system performance in some specific scenarios in the future. In addition, we deduce the joint distance distribution of the first two nearest RRHs with a fixed cluster radius and random number of nodes to verify the correctness of the corollary, and Monte Carlo simulation results confirmed the accuracy of the expression. Finally, we obtained the average data rates of users in different cells and analyzed the influence of cluster radius and RRH density on the overall average data rates of the system.
Multifunctional Strain/PressureSensor Based on Ag@PolydopamineNanohybrid Methacrylamide Chitosan/Polyacrylamide Hydrogel for HealthcareMonitoring

Field: Materials Science (Physical Sciences)

Hydrogels have emerged as promising candidates for flexible sensors due to their softness, biocompatibility, and tunable physicochemical properties. However, achieving synchronous satisfaction of conformality, conductivity, and diverse biological functions in hydrogel sensors remains a challenge. Here, we proposed a multifunctional hydrogel sensor by incorporating silver-loaded polydopamine nanoparticles (Ag@PDA) into a thermally cross-linked methacrylamide chitosan (CSMA) and acrylamide network, namely, Ag@PDA/(CSMA-PAM). The Ag@PDA/(CSMA-PAM) hydrogel showed the capability to respond effectively to both strain and pressure, enabling its independent application as either a strain sensor or a pressure sensor. The sensitivity of the hydrogel can reach 2.13 within the strain range of 65 to 150%, exhibiting a response and recovery time of 550 ms when utilized as a strain sensor. In contrast, its sensitivity was 0.07 kPa–1 during pressures ranging from 0 to 2.15 kPa, with a response and recovery time of 136 ms when employed as a pressure sensor. Additionally, the hydrogel sensor demonstrated high linearity (0.998 for strain and 0.98 for pressure), stable cycling ability (500 cycles), and low detection limit (0.5% for strain and 150 Pa for pressure). Moreover, the Ag@PDA/(CSMA-PAM) hydrogel exhibited good stability and reliability for a variety of practical applications, including the detection of subtle and large deformations, as well as real-time physiological activity monitoring. Further, owing to the bioactive components of chitosan and Ag@PDA present in the hydrogel, the Ag@PDA/(CSMA-PAM) sensor exhibited satisfactory biocompatibility along with excellent antioxidant and antibacterial activities, making it highly promising for applications as wearable sensors in personalized healthcare.
Distribution of the cell substratum attachment (CSAT) antigen on myogenic and fibroblastic cells in culture.

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

Previous studies (Neff et al., 1982, J. Cell. Biol. 95:654-666; Decker et al., 1984. J. Cell. Biol. 99:1388-1404) have described a monoclonal antibody (CSAT Mab) directed against a complex of three integral membrane glycoproteins of 120,000-160,000 mol wt (CSAT antigen [ag]) involved in the cell matrix adhesion of myoblasts and fibroblasts. In localization studies on fibroblasts presented here, CSAT ag has a discrete, well-organized distribution pattern. It co-aligns with portions of stress fibers and is enriched at the periphery of, but not directly beneath vinculin-rich focal contacts. In this last location, it co-distributes with fibronectin, consistent with the suggestion that the CSAT ag participates in the mechanism by which fibroblasts attach to fibronectin. In prefusion myoblasts, which are rapidly detached by CSAT Mab, CSAT ag is distributed diffusely as are vinculin, laminin, and fibronectin. After fusion, myotubes become more difficult to detach with CSAT Mab. The CSAT ag and vinculin are organized in a much more discrete pattern on the myotube surface, becoming enriched at microfilament bundle termini and in lateral lamellae which appear to attach myotubes to the substratum. These results suggest that the organization of CSAT ag-adhesive complexes on the surface of myogenic cells can affect the stability of their adhesive contacts. We conclude from the sum of the studies presented that, in both myogenic and fibroblastic cells, the CSAT ag is localized in sites expected of a surface membrane mediator of cell adhesion to extracelluon of CSAT ag-adhesive complexes on the surface of myogenic cells can affect the stability of their adhesive contacts. We conclude from the sum of the studies presented that, in both myogenic and fibroblastic cells, the CSAT ag is localized in sites expected of a surface membrane mediator of cell adhesion to extracellular matrix. The results from studies that use fibroblasts in particular suggest the involvement of CSAT ag in the adhesion of these cells to fibronectin.
Hypercomplex Liquid Crystals

Field: Chemistry (Physical Sciences)

Hypercomplex fluids are amalgamations of polymers, colloids, or amphiphilic molecules that exhibit emergent properties not observed in elemental systems alone. Especially promising building-blocks for assembly of hypercomplex materials are molecules with anisotropic shape. Alone, these molecules form numerous liquid crystalline phases with symmetries and properties that are fundamentally different from those of conventional liquids or solids. When combined with other complex fluids, liquid crystals form materials with diverse emergent properties. In equilibrium, the interactions, dimensions, and shapes of these hypercomplex materials can be precisely controlled. When driven far from equilibrium, these materials can deform and even spontaneously flow in the absence of external forces. Here we describe recent experimental accomplishments in this rapidly developing research area. We emphasize how the common theme underlying these diverse efforts is their reliance on the basic physics of molecular liquid crystals developed in the 1970s.
Hierarchical feature selection in IDS

Field: Computer Science (Physical Sciences)

Generally, IDS use all the features in network packet to evaluate and look for intrusive patterns. This data contains redundant and some give false correlation. Thus, feature selection is required to address this issue. This study integrates a statistical approach called Rough Set and evolutionary computing approach called Particle Swarm to form a 2-tier structure of feature selection process. Experimental results show that feature subset proposed by Rough-DPSO gives better representation of data and they are robust.
Atypical Parathyroid Adenoma Complicated with Protracted Hungry Bone Syndrome after Surgery: A Case Report and Literature Review

Field: Medicine (Health Sciences)

Hungry Bone Syndrome refers to the severe and prolonged hypocalcemia and hypophosphatemia, following parathyroidectomy in patients with hyperparathyroidism. We present the case of an eighteen-year-old woman with a four-year history of hyporexia, polydipsia, weight loss, growth retardation, and poor academic performance. The diagnostic work-up demonstrated primary hyperparathyroidism with hypercalcemia of 13.36 mg/dL, a PTH level of 2551 pg/mL, bone brown tumors, and microcalcifications within pancreas and kidneys. Neck ultrasonography revealed a parathyroid adenoma of 33 × 14 × 14 mm, also identified on 99 Tc-sestamibi scan. Bone densitometry showed decreasedZ-Score values (total lumbarZ-Score of −4.2). A right hemithyroidectomy and right lower parathyroidectomy were performed. Pathological examination showed an atypical parathyroid adenoma, of 3.8 g of weight and 2.8 cm in diameter. After surgery she developed hypocalcemia with tetany and QTc interval prolongation. The patient required 3 months of oral and intravenous calcium supplementation due to Hungry Bone Syndrome (HBS). After 42 months, she is still under oral calcium. Usually HBS lasts less than 12 months. Therefore we propose the term "Protracted HBS" in patients with particularly long recovery of 1 year. We present a literature review of the diagnosis, pathophysiology, and treatment of HBS.