Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on the Effects of Different Dietary Preparation Methods on Capsule Endoscopy

Background: Capsule endoscopy (CE) examination has become the first-line diagnostic method for small bowel disease, and intestinal preparation is a key factor affecting the quality of CE examination. At present, there is no uniform standard for dietary preparation methods before CE at home and abroad, and there are few systematic comparative studies on the choice of dietary methods. Objective: To explore the best method of preparing diet for capsule endoscopy (CE) examination. Methods: 93 Patients who underwent CE examination in the digestive endoscopy center of Wuhan union medical college hospital in October 2019 were randomly divided into 3 groups. Group A (n = 31): 1 day before the examination; a diet with low-residue was given, and 1 day before the examination, fasting was started at 8 p.m. until the examination was completed. Group B (n = 30): a clear liquid diet was followed 1 day before the examination, and fasting was started at 8 p.m. 1 day before the examination until the examination was completed. Group C (n = 32): followed an ordinary diet 1 day before the examination, and began fasting at 8 p.m. 1 day before the examination until the examination was completed. Intestinal preparation of the same drug was performed in 3 groups, and the incidence of side effects and intestinal cleanliness of each group were compared. Results: There was no significant difference in cleanliness between the three groups (P > 0.05). The incidence of side effects in the three groups was 28.13%, 70.00% and 21.88%, respectively. The difference between group A and group B, group C and group B is statistically significant (P < 0.05). Conclusion: The three diet preparation methods of low-residue diet, clear liquid diet and ordinary diet can all achieve good intestinal cleansing effect. Clear liquid diet can not obviously improve the cleanliness of the small intestine, and there are relatively many side effects.
The relationship between live measurements and edible meat in Merino wethers

Seventy-five Merino wethers of a medium Peppin strain were slaughtered at 7 months of age after a series of live measurements had been made, weights then being taken of carcass and of edible meat after boning out. Fat content was insufficient for trimming, and bone weight was obtained by difference. Weight of edible meat was highly correlated (0.95) with liveweight before slaughter, and the inclusion of any other measurement in a multiple correlation analysis failed to raise this value. Variation in bone weight contributed only 25% of the variation in carcass weight, and the ratio of meat to bone was positively correlated (0.54) with liveweight before slaughter. If total amount of edible meat is accepted as the criterion for meat production, liveweight before slaughter was a satisfactory predictor for these sheep. It is suggested that simplification of criteria along these lines is desirable to aid in the selection of sheep for meat production, though more work is required on sheep of other ages and other breeds.
The Allometry of Seed Production in Herbaceous Angiosperms

The number of seeds produced per ramet of 285 ramets of 57 species of herbaceous angiosperms in 1 yr was regressed on aboveground vegetative weight and average individual seed weight, as well as on categorical variables indicating minimum time to reproduction, growth form, occurrence in disturbed habitats, and phylogeny. Seed number per ramet (Ns) was weakly correlated to average seed weight (Wa, r2 = 0.36) and to vegetative ramet weight (Wv, r2 = 0.38), but a combination of these two variables accounted for 81% of the variance in seed number. The allometric equation was Ns = 1.4 Wv 0.93Wa -0.78. The main source of variation was interspecific. The nonphylogenetic categorical variables accounted for little of the residual variance, with occurrence in disturbed habitats being the most important. This indicates that most of the variation in seed output among plants of different habitats or successional status is due to size-related effects.
The Structure and Functions of Xyloglucan

Xyloglucan is a polysaccharide found in the primary cell walls of all higher plants examined. Its cellulose-like backbone, which is about 015 to 1-5 ? un long, consists of 300 to 3000 /3-(l ^4)-linked D-glucopyranose residues. About 60-75% (or, in grasses, about 30-40%) of the glucose residues have side-chains attached to position 6. The major side-chains are: D-xylopyranosyl-a-1 ->, D-galactopyranosyl-^-(l ^2)-D-xylopyranosyl-a-l L-arabinofuranosyl-(l 2)-D-xylopyranosyl-a-1 and (except in grasses) L-fucopyranosyl-a-(l-»2)-D-galactopyranosyl-j3-(l-^-2)-D-xylopyranosyl-a-lThere is some regularity in the distribution of these side-chains along the backbone. Xyloglucan plays two very different roles in the control of cell growth: (a) as a major building material of the wall [concentration of xyloglucan in the wall in vivo ~ 10% (w/v)] it probably directly dictates wall extensibility and, therefore, the rate of cell expansion and (b) it can be broken down to a fucose-containing oligosaccharide which [at a concentration of ~ 0 0000001% (w/v)] exerts a hormone-like anti-auxin effect on growth. In addition, xyloglucan lacking fucose is used by certain dicotyledonous seeds as a food reserve which is mobilized after germination. Xyloglucan is, therefore, the subject of considerable current interest in several apparently disparate areas of botany.
Detection of blood proteins in ancient human bone using ELISA: A comparative study of the survival of IgG and albumin

ABSTRACT The immunological identification of species-specific blood proteins in skeletal remains has an important role in the reconstruction of ancient dietary, ritual and domestic behaviour. However, which protein provides the most suitable target for such work has not been considered previously, and the present investigation was carried out on human bone to assess the relative merits of IgG and albumin. Extracts of bone from 31 individuals (from the English Civil War, medieval, Early Saxon, Roman, Iron Age and Bronze Age periods) were tested by an enzyme-linked immunosorbent assay (ELISA) using monoclonal antibodies. Albumin was detected in 23 of the 31 skeletons, including those from the Iron and Bronze Ages, whereas IgG was identified in only one; this difference was very highly significant (P < 0.0005, χ2 30.0). The better detection rate for albumin was thought to be due to its higher original blood level, inherent differences in survival pattern being considered unlikely. Testing the same extract for both proteins in the same assay system ensured that any effects due to soil factors, burial conditions, physical integrity of the bone, chronological age, amount of original specimen, method of analysis and type of reagent were the same for each part of the study, thus permitting a valid comparison of antigen survival to be made. Control samples, including fresh and ancient animal bone extracts and human and animal sera, confirmed that the results were consistent and specific, with no cross-reactivity between human and animal material, and that as little as 10 ng of protein was detectable. In summary, the investigation compared the suitability of IgG and albumin for osteoarchaeological studies using a highly specific, sensitive and versatile ELISA; the results showed that albumin was a far better target molecule for such work and that it can survive in ancient bone for long periods of time.
A chemosystematic survey on wild relatives of Brassica oleracea L.

AGUINAGALDE, I. , GOMEZ-CAMPO, C. & SANCHEZ-YELAMO, M. D. , 1992. A chemosystematic survey on wild relatives of Brassica oleracea L. A study on 12 taxa of n= 9, wild Brassica species (including wild B. oleracea) has led to the detection of 21 different flavonol-glycosides. Differential patterns have been obtained for each taxon. Seed proteins and five isoenzyme systems have been analysed by polyacrylamide gel electrophoresis. The presence of many bands common to ail species was the rule for seed proteins, but differences in polypeptide contents were observed. There were also clear qualitative differences in isoenzyme patterns. Interspecific differences were examined by including those phytochemical characters in a numerical analysis. While the maximum morphological variability occurs in Sicily, phytochemical diversity seems to be maximum further east, in the B. cretica group.
Haar Wavelet Method for Solving High-Order Differential Equations with Multi-Point Boundary Conditions

In This paper, the developed Haar wavelet method for solving boundary value problems is described. As known, the orthogonal Haar basis functions are applied widely for solving initial value problems, but In this study, the method for solving systems of ODEs associated with multipoint boundary conditions is generalized in separated or non-separated forms. In this technique, a system of high-order boundary value problems of ordinary differential equations is reduced to a system of algebraic equations. The experimental results confirm the computational efficiency and simplicity of the proposed method. Also, the implementation of the method for solving the systems arising in the real world for phenomena in fluid mechanics and construction engineering approves the applicability of the approach for a variety of problems.
ANALYSIS OF FACTORS AFFECTING USERS’ ATTITUDE TOWARD THE YOUTUBE ADS AND THEIR EFFECTS ON PURCHASE INTENTION

ABSTRACT Research Purposes – This study aims to identify five factors in YouTube advertising (entertainment, informativeness, customization, irritation and credibility) which might effect on ad value, and attitude toward YouTube ads, leading to purchase intention of consumers. Methods – The study uses conceptual models where their hypothesis is that the ad value is positively correlated with respect to the attitude toward YouTube ads, which then affects consumer’s purchase intention. Result – This study found that entertainment, customization, and credibility is positively effected to advertising value on YouTube, where ad value has a positive effect on attitude toward YouTube ads and purchase intention of consumer. Research limitations – For this study, our respondents include 248 active YouTube users in Indonesia that will be used for data collection and analysis. Originality/value – In addition, this study found that irritation is negatively effected to advertising advertising value on YouTube, and informativeness has no effect on advertising value on YouTube. Keywords: Ad value, attitude toward YouTube ads, credibility, customization, entertainment, informativeness, irritation, purchase intention.
Using Lidar Remote Sensing for Spatially Resolved Measurements of Evaporation and Other Meteorological Parameters

Remote sensors are useful tools for making measurements that are not possible with conventional point instruments. We developed methods to obtain spatially resolved latent energy fluxes from Raman water vapor data and the regional virtual potential heat flux from elastic lidar data. The evaporation method is based on Monin-Obukhov similarity theory applied to spatially and temporally averaged data. Latent heat flux estimates were found to be well correlated (R 2 = 0.84, slope = 0.98) compared with eddy correlation measurements. The standard error of the flux estimates was 36.5 W m -2 (a 14% root mean square [RMS] difference), which is close to the predicted uncertainty of 15%. A vertically staring elastic lidar was used to obtain a continuous record of the boundary layer height and thickness of the entrainment zone between a soybean [Glycine max (L.) Merr. ] and a corn (Zea mays L.) field. The surface heat flux was calculated using the Batchvarova-Gryning boundary layer model. The virtual potential heat flux estimates were found to be well correlated (R 2 = 0.79, slope = 0.95) compared with eddy correlation measurements. The standard error of the flux estimates was 21.4 Wm -2 (31% RMS difference between estimates and surface measurements), higher than the predicted uncertainty of 16%. Other parameters such as the Monin-Obukhov length, the stability correction functions, and integral scale can be obtained from lidar data.
Diagnosing Diagnosis Errors: Lessons from a Multi-institutional Collaborative Project

Abstract : Diagnosis errors are frequent and important, but represent an underemphasized and understudied area of patient-safety. (1-8) This belief led us to embark on a 3-year project, funded by the Agency for Healthcare Research and Quality (AHRQ), to better understand where and how diagnosis fails and explore ways to target interventions that might prevent such failures. It is known that diagnosis errors are common and underemphasized, but they are also challenging to detect and dissect. it is often difficult even to agree whether or not a diagnosis error has occurred.
The Effect Of Hypnotherapy On Post Traumatic Stress Disorder (PTSD) Decrease In Women Of Sexual Abuse In Tasikmalaya 2019

Sexual abuse can have a profound trauma effect on victims, especially women. The effect of trauma experienced by victims of sexual abuse is an autonomic liability anxiety syndrome from a very painful experience both physically and emotionally called Post Traumatic Stress Disorder or PTSD. One therapy for PTSD is hypnotherapy. Hypnotherapy is one kind of complementary /nonconventional therapy where patients are guided to relax in and naturally. The gate of someone’s subconscious mind will be open, thus patients tend to be easier to accept healing suggestions given. The purpose of this study is to determine the effect of hypnotherapy on Post Traumatic Stress Disorder (PTSD) in women victims of sexual abuse 2019 in Tasikmalaya. This study used a single-case experimental design ISSN 2354-7642 (Print), ISSN 2503-1856 (Online) Jurnal Ners dan Kebidanan Indonesia Tersedia online pada: http://ejournal.almaata. ac.id/index.php/JNKI INDONESIAN JOURNAL OF NURSING AND MIDWIFERY
A Non-Deadlock Time Management Algorithm

HLA (high level architecture) is the standard for modeling and simulation put forward by the American Department of Defense. Time management is an important component of HLA while GALT (greatest available logical time) algorithm is RTI (runtime infrastructure)’s critical technology in implementing time management. An improper GALT algorithm can easily result in a deadlock so that the whole federation can not advance any more. On the basis of the GALT algorithm introduced by Frederick Kuhl, the principles of deadlock are discussed and some important results are revealed in this paper. If deadlock occurs in a simulation, all federates must have the same GALT and the same output time respectively, and GALT is also equal to output time, and a federate whose lookahead is greater than zero must suspend because of a NMR or NMRA request, other than a TAR, TARA or FQR request. Finally, a GALT algorithm without deadlock is also brought forward in this paper that is called Stature-Measuring, and this algorithm can provide reliable technology support to develop time management services of RTI.
Association of IGF1R Polymorphisms with Growth Traits and its Expression Profiles in Different Pig Breeds

Insulin-like growth factor 1 receptor (IGF1R) is one component of insulin-like growth factor system, which has biological functions of growth traits. The aim of this study is to investigate the entire exons of IGF1R in the three commercial pig breeds, Duroc, Yorkshire and Landrace, to identify novel single nucleotide polymorphisms and their correlation with growth traits. One novel SNP (c.3678C>T) in the exon 20 was detected. This SNP caused the change of amino acid (Ser1217Phe), a portion of cytoplasmic tyrosine kinase domain of IGF1R. At the c.3678C>T site, three genotypes were significantly associated with average daily gain at different growth stage in Yorkshire and Landrace breeds. Meanwhile, we identified the differently expressed pattern of IGF1R in muscle of Yorkshire and Jinhua pigs at different growth stages. Our results provide useful information on understanding the effect of porcine IGF1R gene on growth. The novel IGF1R polymorphism may be useful as molecular markers in pig selection but future studies are required.
Teaching Every Student in the Digital Age: Universal Design for Learning

What about students use your strengths and the creation of teaching. Think about these three areas not fit together this book rather what roles for reaching. What you know for future teachers must students to digital media. And disability or are you use digitized text. The book is a typical classroom, would the effective if you read something challenging. Explain the concord nh schools what you place yourself stressed. What brought the questions provided are, creation of universal. What aspects that I il will enable specific suggestions will. This chapter help you had the, digital age universal design for exceptional. However a rich array of text udl principles. Why you define goals before had the popularity. If you had to instructional model, why or succeed as they have had. Our society has four classroom and three areas not.
Automated Detection and Classification of Defective and Abnormal Dies in Wafer Images

This article presents an automated vision-based algorithm for the die-scale inspection of wafer images captured using scanning acoustic tomography (SAT). This algorithm can find defective and abnormal die-scale patterns, and produce a wafer map to visualize the distribution of defects and anomalies on the wafer. The main procedures include standard template extraction, die detection through template matching, pattern candidate prediction through clustering, and pattern classification through deep learning. To conduct the template matching, we first introduce a two-step method to obtain a standard template from the original SAT image. Subsequently, a majority of the die patterns are detected through template matching. Thereafter, the columns and rows arranged from the detected dies are predicted using a clustering method; thus, an initial wafer map is produced. This map is composed of detected die patterns and predicted pattern candidates. In the final phase of the proposed algorithm, we implement a deep learning-based model to determine defective and abnormal patterns in the wafer map. The experimental results verified the effectiveness and efficiency of our proposed algorithm. In conclusion, the proposed method performs well in identifying defective and abnormal die patterns, and produces a wafer map that presents important information for solving wafer fabrication issues.
Is It Easy to Recruit Young Doctors for Military Service?

Health support for military personnel is a key stone for successful executing combat capacities of military personnel in time of military tasks realization. Recruitment system should provide military units with medical personnel that realize medical support and health care for military personnel and allows achieve tactical targets in peace time operations or in tactical military missions` tasks. The target of our study is to assess information level of medical students about military service that allow find gaps and identify problematic area in medical personnel recruiting process of National Armed Forces of Latvia. We have provided Questionnaire into medical students’ group (N = 87) in Riga Stradins University in Latvia. Questionnaire allows to determine respondents’ interests’ levels about military career, their information level about military education and recruitment procedures. Questionnaire results indicated problems of recruitment system for medical personnel that are lack of information for target auditory (medical students) about recruitment procedure for military (medical) service. Recruitment of medical personnel is a challenge for recruitment system of armed forces in different countries that connect to compatible payment system and supporting professional medical a qualification system. Information about recruitment to the military medical service in National Armed Forces of Latvia should reinforce, focuses to the target auditory – medical students. Recruitment centre specialists spread activities in social media. Questionnaire data revealed that there is a potential group of young medical specialist who are interested in military medical service and are ready to connect professional medical career to National Armed Forces of Latvia.
Nomenclature and Criteria for Diagnosis of Diseases of the Heart and Great Vessels

Since 1928, the New York Heart Association Functional Classification has been the system most widely accepted worldwide for assessing the severity of cardiac or cardiovascular disease, and evaluating the patient's response to treatment. This book sets out a diagnostic classification system for heart disease. The book is presented in six sections. The first four define the five components of any diagnosis: what is the cause? (aetiologic diagnosis); what is the structural anomaly? (anatomic diagnosis); what is the functional abnormality? (physiologic diagnosis); and how severe are the symptoms and what do the lab tests show? (functional capacity and objective assessment). These last two items, which summarize the clinical findings, constitute the two-part NYHA Classificabon for grading disease severity and tracking a patient's response to treatment. The fifth section discusses uncertain diagnosis. The sixth section, new to this edition, covers diagnostic techniques that have become standard since the last revision. Other changes in the ninth edition are a thorough updating of the biology of heart disease and a discussion on ventricular diastolic dysfunction. This edition restores the functional capacity component of the classification (dropped from the past two editions) and introduces an objective assessment category.
A Triple Residual Multiscale Fully Convolutional Network Model for Multimodal Infant Brain MRI Segmentation

The accurate segmentation of infant brain MR image into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is very important for early studying of brain growing patterns and morphological changes in neurodevelopmental disorders. Because of inherent myelination and maturation process, the WM and GM of babies (between 6 and 9 months of age) exhibit similar intensity levels in both T1-weighted (T1w) and T2-weighted (T2w) MR images in the isointense phase, which makes brain tissue segmentation very difficult. We propose a deep network architecture based on U-Net, called Triple Residual Multiscale Fully Convolutional Network (TRMFCN), whose structure exists three gates of input and inserts two blocks: residual multiscale block and concatenate block. We solved some difficulties and completed the segmentation task with the model. Our model outperforms the U-Net and some cutting-edge deep networks based on U-Net in evaluation of WM, GM and CSF. The data set we used for training and testing comes from iSeg-2017 challenge (http://iseg2017.web.unc.edu).