Miracle-dz/UniFAR-FTUs huggingface dataset:
Simple Mucosal Biopsy Criteria Differentiating among Crohn Disease, Ulcerative Colitis, and Other Forms of Colitis: Measurement of Validity

Background: Recently established mucosal biopsy criteria reliably differentiate idiopathic inflammatory bowel disease (IBD) from other forms of colitis (non-IBD), and Crohn disease involving the colon (CD) from ulcerative colitis (UC) but were inconvenient in practical use because of the need for relatively complicated calculations. Our objectives were to establish simple criteria in which calculation could be done in the user's head and to measure their validity. Methods: On the basis of the above original criteria, we constructed two sets of criteria in which coefficients and constants were simplified to integral numbers. The first set of criteria consisted of the diagnostic categories 'definite IBD', 'probable IBD', 'unknown', 'probable non-IBD', and 'definite non-IBD'. Similarly, the second set had five categories from 'definite CD' to 'definite UC'. The validity of the criteria was evaluated in 117 patients with CD, 125 with UC, and 484 with non-IBD. Results: In categories of probable IBD and probable non-IBD both sensitivity and specificity exceeded 96.3%. Probable CD and probable UC showed sensitivities of 95.7% and 92.0% and specificities of 93.6% and 98.3%. Conclusions: Despite simplified coefficients and constants, the validity appeared to be high enough to apply the present criteria to routine work.
Performance, Rumen and Blood Metabolites in High-Yielding Cows Fed Varying Protein Percents and Protected Soybean

Abstract Three groups of 20 multiparous high-yielding cows were fed during the first 122 days after calving diets containing 16, 16, and 20% crude protein. Protein of soybean meal in the diet of only the first group was protected with formaldehyde. The calculated crude protein intakes, including maintenance, per kilogram of milk, were 71, 76, and 96 g. Average 122-day milk yields of cows were 40.4, 38.9, and 38.4 kg/day, but solids-corrected milk yields were almost identical. Rumen liquor ammonia and urea concentration in blood plasma were 8.6, 10.0, and 17.3 mg/100 ml liquor and 8.4, 8.8, and 15.4 mg/100 ml plasma. Cows fed the protected soybean diet had lower total volatile fatty acid concentrations in rumens and higher molar percentages of propionate but lower percentage of butyrate than cows of the two other groups. Likewise, during wk 7 to 17 after calving, cows of the protected soybean group had a lower fat and protein milk content. Conception rates were 69, 56, and 44%, and open days were 84, 98, and 102.
The pattern of expression of the Xenopus laevis tadpole α-globin genes and the amino acid sequence of the three major tadpole α-globin polypeptides

We have isolated cDNA clones derived from three tadpole alpha-globin mRNAs of Xenopus laevis. The entire nucleotide sequence of the three mRNAs has been determined from the cDNA clones and is presented together with the deduced amino acid sequence of the encoded polypeptides. Two of the three polypeptide sequences are 96% homologous whilst the third sequence is highly diverged, with only a 72% homology. The three tadpole alpha-globin genes are all similarly diverged from the two X. laevis adult alpha-globin genes with which they display approximately 50% homology. Analysis of several independent clones from each class of tadpole alpha-globin sequence reveals a very high degree of coding region polymorphism for each of the three corresponding genes. Using the cloned DNA sequences as hybridisation probes, we have analysed the expression of the corresponding genes during larval development. We show that all three genes are activated simultaneously early in development and that thereafter all three are expressed at an approximately equivalent level. A fourth tadpole alpha-globin mRNA sequence, for which we do not have a cDNA clone, accumulates co-ordinately with the three major mRNA sequences but to a much lower concentration. This pattern of gene expression differs significantly from that of the tadpole beta-globin genes of X. laevis, despite the two classes of genes being closely linked in the genome.
New Instrumented Trolleys and A Procedure for Automatic 3D Optical Inspection of Railways

This paper focuses on new instrumented trolleys, allowing automated 3D inspection of railway infrastructures, using optical scanning principles and devices for defects and damage evaluation. Inspection of rolling components is crucial for wear evaluation and to schedule maintenance interventions to assure safety. Currently, inspection trolleys are mainly instrumented with 2D contact or optical sensors. The application of 3D non-contact digitizers proposed in this paper allows for a quick and more complete monitoring of the health conditions of railways, also in combination with a proper procedure for automatic 3D inspection. The results of the experimental tests using 3D portable optical scanners on railways are compared with results obtained by a trolley instrumented with 2D contact sensors. The results demonstrate the effectiveness of the trolleys mounting 3D handheld optical digitizers with proper automated software inspection procedures.
Thai Voice Recognition for Controlling Electrical appliances Using Long Short-Term Memory

Human speech possesses characteristics in each of the word that can be recognized and learned by computers. In this research, It is being proposed the use of the Deep Learning Model to predict speech turn-on and turn-off various electrical appliances, by using the sound conversion method that has been through the process to get the value of sound waves and applied toward training process in different ways. As the sound has more than 1 syllable and having characteristics of similar words that might difficult to predict. This research is based on Convolutional Neural Network (CNN) for comparison with the use of Long Short-Term Memory (LSTM), which is part of the Recurrent Neural Network (RNN) and Thai language Speech Dataset turn-on and turn-off by the 7 types of electrical appliances, the process of reducing noise and silence of the front and back of the audio files by 14 classes in total. The experimental results signify that the proposed Long Short-Term Memory can achieve the best accuracy.
Myofascial Pain Syndrome: Trigger Points

In this edition of the myofascial literature review column, we included a large number of clinical studies. Of particular interest are the studies by Mayoral et al. who introduced a smart way to conduct true double blind studies of trigger point [TrP] dry needling and an important study from Norway, which addresses the presence and management of TrPs in patients with lower limb amputations. Several prevalence papers were published about TrPs in the shoulder with impingement syndrome and the hip with patellofemoral pain [PFP]. From the National Institutes of Health and George Mason University comes the next paper on characterizing TrPs using sonography. We conclude the review with several interesting case reports. Observant readers will note that we no longer indicate which author prepared which review as all reviews are the results of collaboration between the two authors.
Latte: A Native Table Engine On Nvme Storage

Most database systems rely on complex multi-layer and compatibility-oriented storage stacks, which results in sub-optimal database management system (DBMS) performance and significant write amplification. A heavy storage stack can be tolerated in the slow disk era because its storage overhead is completely overlapped by hardware delay. However, with advances in storage technologies, emerging NVMe devices have reached the same level of latency as software, which in turn has caused the storage stack to become a new bottleneck. On the other hand, NVMe devices not only improve I/O efficiency but also introduce distinctive hardware features that require software modifications to take advantage of themTo fully exploit the hardware potential of NVMe devices, we propose a lightweight native storage stack called Lightstack to minimize the software overhead. The core of Lightstack is an efficient table storage engine, LATTE, which abstracts the essential data service of the database’s 2D table. LATTE is designed from the ground up to use NVMe devices efficiently. It directly accesses NVMe devices to reduce single I/O latency and utilizes a parallel scheduling strategy to leverage multiple deep I/O queues and CPU cores. Besides, undo logging on heterogeneous storage is proposed to mitigate the write amplification further. We also implement a working prototype and evaluate it with standard benchmarks on the Intel Optane DC P4800X NVMe SSD and the DC P3608 Series NVMe SSD. Experimental results show that LATTE has up to 3.6-6.5× the throughput of MySQL’s InnoDB and MyRocks engines, with latency as low as 28% in the same hardware environment.
SCLPD: Smart Cargo Loading Plan Decision Framework

The rapid development of steel logistics industry still has not effectively address such issues as truck overload and order overdue as well as cargo overstock. One of the reasons lie in limited number of trucks for transporting large scale cargos. More importantly, traditional methods attend to distribute cargos to trucks with the aim of maximizing the loading of each truck. But they ignore the priority level of orders and the expiration date of cargos stored in the warehouses, which have critical influences on profits of steel logistics industry. Hence, it necessitates an appropriate cargo distribution mechanism under the precondition of limited transportation capacity resources, to guarantee the maximization of delivery proportion for high-priority cargos. Recently, tremendous logistics data has been produced and are being in constant increment hourly in steel logistics platform. However, there is no existing solution to transform such data into actionable scheme to improve cargo distributing effectiveness. This paper puts forward a system implementation of smart cargo loading plan decision framework (SCLPD for short) for steel logistics industry. Through analysis on numerous real data cargo loading plan and inventory of warehouse, some important rules related to cargo distribution process are extracted. Additionally, consider that different amounts of trucks arriving in different time periods, based on adaptive time window model, a two- layer searching mechanism consisting of a genetic algorithm and A* algorithm is designed to ensure global optimization of cargo loading plan for the trucks in all time periods. In our demonstration, we illustrate the procedure of matching for cargos and trucks in various time windows, and showcase the comparison experimental results between the traditional method and SCLPD by the measurement of delivery proportion for high- priority cargos. The effectiveness and practicality of SCLPD enables efficient cargo loading plan generation, to meet the real- world requirements from steel logistics platform.
Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems

Architecting IoT systems able to guarantee Quality of Service (QoS) levels can be a challenging task due to the inherent uncertainties (induced by changes in e.g., energy availability, network traffic) that they are subject to. Existing work has shown that machine learning (ML) techniques can be effectively used at run time for selecting self-adaptation patterns that can help maintain adequate QoS levels. However, this class of approach suffers from learning bias, which induces accuracy problems that might lead to sub-optimal (or even unfeasible) adaptations in some situations. To overcome this limitation, we propose an approach for proactive self-adaptation which combines ML and formal quantitative verification (probabilistic model checking). In our approach, ML is tasked with selecting the best adaptation pattern for a given scenario, and quantitative verification checks the feasibility of the adaptation decision, preventing the execution of unfeasible adaptations and providing feedback to the ML engine which helps to achieve faster convergence towards optimal decisions. The results of our evaluation show that our approach is able to produce better decisions than ML and quantitative verification used in isolation.
Stealth Magnetoliposomes Based on Calcium-Substituted Magnesium Ferrite Nanoparticles for Curcumin Transport and Release

Despite the promising pharmacological properties of curcumin, the transport and effective release of curcumin is still a challenge. The advances in functionalized nanocarriers for curcumin have also been motivated by the anticancer activity of this natural compound, aiming at targeted therapies. Here, stealth (aqueous and solid) magnetoliposomes containing calcium-substituted magnesium ferrite nanoparticles, CaxMg1−xFe2O4 (with x = 0.25, 0.50, 0.75) were developed as nanocarriers for curcumin. The magnetic nanoparticles exhibit superparamagnetic properties and crystalline structure, with sizes below 10 nm. The magnetoliposomes based on these nanoparticles have hydrodynamic diameters around or below 150 nm and a low polydispersity. The influence of an alternating magnetic field (AMF) on drug release over time was evaluated and compared with curcumin release by diffusion. The results suggest the potential of drug-loaded magnetoliposomes as nanocarriers that can be magnetically guided to the tumor sites and act as agents for a synergistic effect combining magnetic hyperthermia and controlled drug release.
Quantitative determination of the odorants of young red wines from different grape varieties

Fifty-two young monovarietal red wines made with Grenache (17 samples), Tempranillo (11 samples), Cabernet Sauvignon (12 samples) and Merlot (12 samples) grapes have been analysed by HRGC–MS to obtain quantitative data on 47 odorants previously identified as potential aroma contributors by olfactometric techniques. Thirty-three odorants were present in the wines at concentrations higher than their corresponding odour thresholds. These include ethyl octanoate, β-damascenone, ethyl hexanoate, isovaleric acid and isoamyl acetate as the most important, which together with isoamyl and β-phenylethyl alcohols, fatty acids, 2,3-butanedione and ethyl butyrate are always found at concentrations higher than their odour thresholds. In some cases the ethyl esters of isobutyric and isovaleric acids, β-ionone, methionol, isobutyric acid, ethyl cinnamate, ethyl dihydrocinnamate, γ-nonalactone, eugenol, c-3-hexanol, geraniol, guaiacol, 3-isobutyl-2-methoxypyrazine, 4-ethylguaiacol, acetoin and t-whiskylactone were at a concentration high enough to be odour-active. There were 30 compounds that were found to differ significantly between varieties. These include 3-isobutyl-2-methoxypyrazine, isoamyl acetate, isovaleric acid, ethyl isobutyrate, ethyl isovalerate, fusel alcohols, c-3-hexenol, methionol, eugenol, guaiacol and γ-nonalactone. © 2000 Society of Chemical Industry
Use of 15N‐amino acid isotope dilution techniques to determine endogenous amino acids in ileal digesta in growing pigs

An experiment was carried out to determine the contribution of endogenous amino acids (AA) to total AA, using the 15N‐AA and 15N‐leucine isotope dilution techniques, in ileal digesta from growing pigs. Four barrows, initial body weight (BW) 33.8 ± 1.0 kg, were fitted with a simple T‐cannula at the distal ileum and one catheter in each of the external jugular veins. The pigs were fed 1.65 kg day−1 of a wheat, fish meal and casein‐based diet, formulated to contain 180 g protein (N x 6.25) day kg−1. 15N‐leucine, dissolved in saline, was infused into the right catheter at a rate of approximately 40 mg kg BW−1 day−1 for a total of 9 days. The contribution (%) of endogenous AA, which ranged from 17.0 to 84.5%, to total AA in ileal digesta was determined from the dilution of 15N‐enrichment (atom percent excess) in the individual AA in digesta compared with free AA in blood plasma. In addition, the dilution of 15N‐enrichment in leucine in digesta compared with free leucine in blood plasma was used to predict the .
Anti-Saccharomyces cerevisiae Antibodies in Inflammatory Bowel Disease: a Family Study

Background: Antibodies to Saccharomyces cerevisiae (ASCA) have been described as specific markers for Crohn disease (CD). The reason for this disease specific generation of antibodies is not clear. Therefore, a family study was performed to evaluate whether the antibody production was due to genetic or environmental factors. Methods: Seventy-one patients with CD, 25 patients with ulcerative colitis (UC), their 282 first-degree relatives, and 32 spouses were included. As controls, 43 sera from healthy persons and 69 sera from patients with various autoimmune disorders were tested for ASCA by indirect immunofluorescence and ELISA. Results: ASCA were detected in 68% of the patients with CD and in none of the controls, UC patients included. Forty-eight (25%) first-degree relatives ofpatients with CD were ASCA-positive. ASCA status of relatives was not related to the fact whether these persons lived in the same household with the patients or not. However, one of the spouses of CD patients (4%) was found to be ASCA-positive and the antibody was also found in 5 (6%) ofthe relatives of UC patients. Conclusions: ASCA are specific markers for CD. Since these antibodies are found in 25% of first-degree relatives, the generation of ASCA may be mainly related to genetic influences although environmental factors may also play a certain role.
Effect of different nitrogen nutrients on the viability, protein synthesis and tannin production of Scots pine callus

The effect of two different media on the growth, metabolism and viability of Scots pine (Pinus sylvestris) callus cultures was studied. Inorganic nitrogen in the culture media (modified MS) was in the form of either KNO 3 or NH 4 NO 3 . The cultures were started from buds of mature Scots pine. Growth was poor on the medium with KNO 3 , but this compound had a noticeable effect on the metabolism of the callus, which was reflected in alterations in protein and polyphenol synthesis and the pH of the culture medium. Although the fresh mass, water content and viability of the callus decreased when KNO 3 was the exclusive inorganic nitrogen nutrient, protein synthesis was more abundant. Electrophoretic analyses indicated alterations in the patterns of soluble proteins and purified glycoproteins. Phenylalanine ammonia-lyase (EC 4.3.1.5) activities were high in all the calluses, and concentrations of condensed tannins and their precursors, catechins, were higher than in intact buds. The role of inorganic nitrogen nutrition in the deterioration of tissues is discussed on the basis of the effect of ammonium on the metabolism of pine callus.
Sex Differences in Association of Elevated Blood Pressure with Variables Characterizing Cardiometabolic Risk in Young Subjects with or Without Metabolic Abnormalities

Males present higher blood pressure (BP) values, higher prevalence of elevated BP, and a different prevalence of cardiometabolic risk factors when compared with females. We assumed that the trends of risk markers across BP categories (normotension, high normal BP, and hypertension) differ in young males and females, and between subjects without metabolic abnormalities (without obesity, insulin resistance, atherogenic dyslipidemia, hyperuricemia, or microinflammation) and those presenting them. Data from 2543 subjects (48% males) aged from 16 to 23 years were analyzed. The findings showed that 15% of males and 4% of females presented high normal BP while 9% and 1%, respectively, had hypertension. In males, variables characterizing obesity status, insulin sensitivity, atherogenic dyslipidemia, uric acid, adiponectin, a soluble receptor for advanced glycation end-products, and leukocyte counts showed worsening trends across BP categories. Females presented significant trends only for obesity measures, LDL-cholesterol, and non-HDL-cholesterol. Across BP categories, trends of variables characterizing cardiometabolic risk differed among abnormalities-free and presenting males. The multivariate model selected measures of central obesity, atherogenic dyslipidemia, insulin resistance, and uric acid as significant predictors of BP in both genders, and C-reactive protein in females. Sex differences in measures of cardiovascular health in juveniles may remain undiscovered unless two sexes are analyzed separately. These differences may have implications for sex-specific disease risk in adulthood.
Population Studies on Juvenile Herring in Barkley Sound, British Columbia

Population studies were carried out on herring in the juvenile (first year, post-metamorphosis) stage in Barkley Sound in the summers of 1951 to 1954. Their chief objective was to detect and estimate yearly changes in relative abundance. The juveniles were found mostly in shallow, sheltered bays, inlets and channels, mainly on the southeast side of the sound. The stocks apparently arose from different mixtures of the progeny of a series of spawnings extending over two months and located mainly on the northwest side of the sound. Mixing between localities averaged less than one-third. The 1953 and 1954 juvenile populations were above average (both about 640 million fish), while the 1952 population was below average. Upon recruitment to the fishery, the relative strength of these three year-classes was comparable to that observed in the juvenile stage. Thus, surveys of herring abundance at the juvenile stage provide an index of year-class strength at recruitment.
#Online harms or benefits? An ethnographic analysis of the positives and negatives of peer-support around self-harm on social media.

BACKGROUND There is emerging evidence of the potentially detrimental impact of social media on young people's mental health. Against this background, online self-harm content has been a recent focus of concern across academia, policy and the media. It has been argued to encourage or even cause acts such as self-cutting through mechanisms of contagion. However, little is known about why a young person might engage with such content or about its impact on behaviour or well-being. METHODS Online ethnographic observation of interactions around self-harm on Twitter, Reddit and Instagram: collection and analysis of 10,169 original posts and 36,934 comments, both written and pictorial, at two time-points in 2018 and 2019. Ten in-depth semi-structured interviews exploring engagements with self-harm content on social media. RESULTS Our data show that peer support is the central component of online interactions around self-harm. Young people accessing such content are likely to already be self-harming; they may turn to social media to understand, and seek help for, their actions and feelings in a context of offline stigma and service support gaps. This paper engages with the mechanisms, complexities and impact of this peer-support, reflecting on the benefits and dangers to caring for oneself and others through social media. CONCLUSIONS Self-harm content is a fraught issue at the centre of current debates around risks and opportunities for child and adolescent mental health in the digital age. Whilst the importance of supporting young people's online safety is clear, moves to eradicate self-harm content must be undertaken with caution so as not to cause unintentional harm. Our research highlights a need to think beyond a model of contagion, instead attending to other mechanisms of harm and benefit. In so doing, it challenges prevailing attitudes towards online communication about self-harm and accepted approaches to managing this.