Miracle-dz/UniFAR-FTUs huggingface dataset:
A gonadotropin-releasing factor vaccine (Improvac) and porcine somatotropin have synergistic and additive effects on growth performance in group-housed boars and gilts.

Two hundred and twenty-four pigs (112 boars, 112 gilts) housed in pens of seven pigs per pen were used in a 2 x 2 x 2 factorial design, with the factors of vaccination with a gonadotropin-releasing factor (GnRF) vaccine (Improvac; 0 or 2 mL at 13 and 17 wk of age), porcine somatotropin (pST; 0 or 5 mg/d from 17 wk of age), and gender. Pigs were weighed and feed intake was measured from 17 wk of age until slaughter at 21 wk of age. Body composition was estimated by dual-energy X-ray absorptiometry in two focus pigs per pen at 17 and 21 wk of age. Testes and ovary weights at slaughter were decreased by Improvac treatment (P < 0.001), but were not altered by pST treatment (P > 0.44). Daily gain was lower for gilts than boars (1,128 vs. 1,299 g/d, P < 0.001) and was increased by pST (1,172 vs. 1,255 g/d, P = 0.003) and Improvac (1,150 vs. 1,276 g/d, P < 0.001) treatments. Feed intake (as-fed basis) was lower in gilts than in boars (2,774 vs. 3,033 g/d, P = 0.002), was decreased by pST (3,037 vs. 2,770 g/ d, P = 0.002), and was increased by Improvac treatment (2,702 vs. 3,105 g/d, P < 0.001). As a result of the differences in feed intake and daily gain, feed conversion efficiency (gain:feed) was lower for gilts than for boars (0.403 vs. 0.427 P = 0.025), was improved by pST (0.385 vs. 0.452, P < 0.001), but was unchanged by Improvac treatment (0.423 vs. 0.410, P = 0.22). Carcass weight was lower in gilts than in boars (75.3 vs. 77.0 kg, P = 0.012), was unchanged by pST treatment (75.9 vs. 76.4 kg, P = 0.40), and was increased by Improvac treatment (75.1 vs. 77.2 kg, P = 0.003). Lean tissue deposition rate was lower in gilts than in boars (579 vs. 725 g/d, P < 0.001), was increased by pST (609 vs. 696 g/d, P < 0.001) and by Improvac treatment (623 vs. 682 g/d, P = 0.014). Fat deposition rate tended to be lower in gilts than in boars (214 vs. 247 g/d, P = 0.063), decreased by pST treatment (263 vs. 198 g/d, P < 0.001), and increased by Improvac treatment (197 vs. 264 g/d, P < 0.001). For pigs treated with both pST and Improvac, daily gain and lean tissue deposition rate was greater than for pigs that received either treatment alone, whereas fat deposition rate and feed intake did not differ from untreated control pigs. In conclusion, Improvac increased growth rate through increased lean and fat deposition, but concomitant use of Improvac and pST increased lean gain above either alone, while negating the increase in fat deposition in pigs treated with Improvac.
Quality Classification of Defective Parts from Injection Moulding

This report examines machine learning algorithms for detecting short forming and weaving in plastic parts produced by injection moulding. Transfer learning was implemented by using pretrained models and finetuning them on our dataset of 494 samples of 150 by 150 pixels images. The models tested were Xception, InceptionV3 and Resnet-50. Xception showed the highest overall accuracy (86.66%), followed by InceptionV3 (82.47%) and Resnet-50 (80.41%). Short forming was the easiest fault to identify, with the highest F1 score for each model.
Dependable Contact Related Parameter Extraction in Graphene–Metal Junctions

The accurate extraction and the reliable, repeatable reduction of graphene–metal contact resistance (RC) are still open issues in graphene technology. Here, the importance of following clear protocols when extracting RC using the transfer length method (TLM) is demonstrated. The example of back‐gated graphene TLM structures with nickel contacts, a complementary metal oxide semiconductor compatible metal, is used here. The accurate extraction of RC is significantly affected by generally observable Dirac voltage shifts with increasing channel lengths in ambient conditions. RC is generally a function of the carrier density in graphene. Hence, the position of the Fermi level and the gate voltage impact the extraction of RC. Measurements in high vacuum, on the other hand, result in dependable extraction of RC as a function of gate voltage owing to minimal spread in Dirac voltages. The accurate measurement and extraction of important parameters like contact‐end resistance, transfer length, sheet resistance of graphene under the metal contact, and specific contact resistivity as a function of the back‐gate voltage is further assessed. The presented methodology has also been applied to devices with gold and copper contacts, with similar conclusions.
Applying Speech Tempo-Derived Features, BoAW and Fisher Vectors to Detect Elderly Emotion and Speech in Surgical Masks

The 2020 INTERSPEECH Computational Paralinguistics Challenge (ComParE) consists of three Sub-Challenges, where the tasks are to identify the level of arousal and valence of elderly speakers, determine whether the actual speaker wearing a surgical mask, and estimate the actual breathing of the speaker. In our contribution to the Challenge, we focus on the Elderly Emotion and the Mask sub-challenges. Besides utilizing standard or close-to-standard features such as ComParE functionals, Bag-of-Audio-Words and Fisher vectors, we exploit that emotion is related to the velocity of speech (i.e. speech rate). To utilize this, we perform phone-level recognition using an ASR system, and extract features from the output such as articulation tempo, speech tempo, and various attributes measuring the amount of pauses. We also hypothesize that wearing a surgical mask makes the speaker feel uneasy, leading to a slower speech rate and more hesitations; hence, we experiment with the same features in the Mask sub-challenge as well. Although this theory was not justified by the experimental results on the Mask Sub-Challenge, in the Elderly Emotion Sub-Challenge we got significantly improved arousal and valence values with this feature type both on the development set and in cross-validation.
THE GENERALIZED OTOC FROM SUPERSYMMETRIC QUANTUM MECHANICS: Study of Random Fluctuations from Eigenstate Representation of Correlation Functions

The concept of out-of-time-ordered correlation (OTOC) function is treated as a very strong theoretical probe of quantum randomness, using which one can study both chaotic and non-chaotic phenomena in the context of quantum statistical mechanics. In this paper, we define a general class of OTOC, which can perfectly capture quantum randomness phenomena in a better way. Further we demonstrate an equivalent formalism of computation using a general time independent Hamiltonian having well defined eigenstate representation for integrable supersymmetric quantum systems. We found that one needs to consider two new correlators apart from the usual one to have a complete quantum description. To visualize the impact of the given formalism we consider the two well known models viz. Harmonic Oscillator and one dimensional potential well within the framework of supersymmetry. For the Harmonic Oscillator case we obtain similar periodic time dependence but dissimilar parameter dependences compared to the results obtained from both micro-canonical and canonical ensembles in quantum mechanics without supersymmetry. On the other hand, for one dimensional potential well problem we found significantly different time scale and the other parameter dependence compared to the results obtained from non-supersymmetric quantum mechanics. Finally, to establish the consistency of the prescribed formalism in the classical limit, we demonstrate the phase space averaged version of the classical version of OTOCs from a model independent Hamiltonian along with the previously mentioned these well cited models.
Peking Opera Synthesis via Duration Informed Attention Network

Peking Opera has been the most dominant form of Chinese performing art since around 200 years ago. A Peking Opera singer usually exhibits a very strong personal style via introducing improvisation and expressiveness on stage which leads the actual rhythm and pitch contour to deviate significantly from the original music score. This inconsistency poses a great challenge in Peking Opera singing voice synthesis from a music score. In this work, we propose to deal with this issue and synthesize expressive Peking Opera singing from the music score based on the Duration Informed Attention Network (DurIAN) framework. To tackle the rhythm mismatch, Lagrange multiplier is used to find the optimal output phoneme duration sequence with the constraint of the given note duration from music score. As for the pitch contour mismatch, instead of directly inferring from music score, we adopt a pseudo music score generated from the real singing and feed it as input during training. The experiments demonstrate that with the proposed system we can synthesize Peking Opera singing voice with high-quality timbre, pitch and expressiveness.
ARCOBACTER POPULATION DYNAMICS IN PIGS ON FARROW-TO-1 FINISH FARMS 2 3

24 25 Healthy pigs are an important reservoir for the emerging human pathogen 26 Arcobacter which can result in contamination of porcine carcasses and pork, and 27 the spread of arcobacters into the environment. Up to now, the excretion of 28 arcobacters by pigs has been studied, but information about the transmission 29 routes in fattening pigs is lacking. The present study aimed to elucidate the 30 Arcobacter population dynamics in pigs during the fattening period on four 31 farrow-to-finish farms. On each farm, 30 clinically healthy, 12 weeks old piglets 32 were selected. Faecal samples were collected during ten sampling occasions until 33 a slaughter age of 30 weeks was reached. Arcobacter spp. were isolated by a 34 selective method, and identified by multiplex-PCR. The genetic diversity was 35 examined by amplified fragment length polymorphism and enterobacterial 36 repetitive intergenic consensus PCR. The Arcobacter presence in the faecal 37 samples on the four farms ranged from 11.3 to 50.0% with excretion levels up to 38 10 4 cfu/g faeces. The ratio in which Arcobacter species were isolated, varied 39 between the farms and in the course of time. Characterization revealed a high 40 degree of genotypic diversity among the isolates. Arcobacter strains persisted and 41 spread within the finishing unit during the fattening period. The occurrence of 42 both unique and shared genotypes in pigs in adjacent and non-adjacent pens 43 demonstrates that transmission routes other than faeco-oral transmission occur. 44
Importance of analytical methods in pharmacokinetic and drug metabolism studies

Pharmacokinetic and drug metabolism studies first request that good analytical data are available. The various methods that permit unchanged drugs and their metabolites to be separated, identified and quantitatively assayed are briefly reviewed. The present importance of gas chromatography/mass spectrometry is emphasized, as well as the limits of immunological assays. The sensitivity of the analytical assay has a direct impact on the validity of the pharmacokinetic model which is built up from plasma concentration data. The precision and accuracy of the assay is also critical, and it is not always easily estimated. A new significant parameter is the speed of analysis, and the resulting massive production of analytical data. New drugs coming from biotechnology, and new dosage forms, like targeted drugs, will create new analytical problems in the future. They will probably call for the development of new biological or pharmacological assay procedures, in addition to the physicochemical means of analysis.
Some effects of reduced atmospheric pressure on secondary sexual characters of male mice.

Summary. The effects on the testes and some accessory reproductive organs of exposure to an atmospheric pressure of 405 mm Hg have been studied in young and adult male mice. In young animals, growth in body weight was retarded, but regressions of accessory organ weights on body weights showed few differences from controls. Concentrations of citric acid and fructose in the accessory organs were raised throughout the experimental period. Leydig cell numbers were reduced during the early part of the exposure, but recovered later. Adult animals showed a similar though less clear-cut response. The changes observed in the accessory organs were probably due mainly to a direct effect of hypoxia and not to lowered androgen production.
MAGE expressions mediated by demethylation of MAGE promoters induce progression of non-small cell lung cancer.

BACKGROUND The MAGE gene encodes cancer/testis antigens that are recognized on melanoma cells by autologous cytolytic T lymphocytes. These genes are expressed in various tumor cells, but not in healthy tissues except for the testis and placenta. MAGE expression is known to be activated by promoter demethylation. MATERIALS AND METHODS The expression of MAGE-A1 and -A3 and promoter methylation of MAGE-A1 and -A3 was investigated in 67 non-small cell lung cancer (NSCLC) specimens and their correlation with clinicopathological parameters was elucidated. RESULTS Expression of MAGE-A1 and -A3 was detected in 29.9% and 38.8% of the cases. Demethylation of MAGE-A1 and -A3 was detected in 41.8% and 46.3% of the cases. In 18 (of 20) cases, MAGE-A1 expression showed demethylation of MAGE-A1 and in 24 (of 26) cases MAGE-A3 expression showed demethylation of MAGE-A3. The patients with MAGE expression had a worse prognosis than those with no MAGE expression. CONCLUSION MAGE expression mediated by demethylation of MAGE promoters is associated with aggressive progression of NSCLC.
Using Text's Terms and Syntactical Properties for Document Similarity

This paper reports on experiments performed to investigate the use of syntactical structures of sentences combined with sentences' terms for document similarity calculation. The document's sentences were first converted into ordered Part of Speech (POS) tags that were then fed into the Longest Common Subsequence (LCS) algorithm to determine the size and count of the LCSs found when comparing the document sentence by sentence. As a first stage, these syntactical features of the text were used as a structural representation of the document’s text. However, the produced strings of tags not only work as text representative but also provide for text size reduction. This improves the processing efficiency of comparing the document's representative strings using the LCS. A score is generated by computing an accumulative value based on the number of the LCSs found. In the second stage, documents that score well in the first stage are subjected to further comparison using the actual words of the sentences (content) in a sentence by sentence fashion. An overall final is generated as a measure of similarity using the common words (accumulated for the whole document) and the total number of LCSs from the first step. Experiments were done on two different corpora. Results obtained have showed the utility of the proposed procedure in calculating similarities between written documents. The overall discrimination power was maintained while the size of the documents was reduced using only a representative of the document based on the tagged string.
Increased arterial stiffness and indication of endothelial dysfunction in long‐standing rheumatoid arthritis

Objective: Atherosclerotic progression is accelerated in rheumatoid arthritis (RA). We evaluated arterial stiffness and endothelial dysfunction in RA patients and controls by pulse wave analysis (PWA). Methods: Thirty RA patients with long‐standing disease and 30 age‐ and sex‐matched controls were examined using applanation tonometry of the radial artery before and after vasodilation by terbutaline (endothelium dependent) and nitroglycerin (endothelium independent). The aortic augmentation index (AIx) and time to reflected wave (transit time, Tr) were measured. Using the peripheral pulse curve, the stiffness index (SI) and the reflectance index (RI) were calculated. Tr and SI predominantly reflect large artery stiffness, whereas Aix and RI also reflect small vessel resistance. The PWA measurements were assessed in relation to adhesion molecules [soluble platelet endothelial cell adhesion molecule‐1 (sPECAM‐1), soluble vascular cell adhesion molecule‐1 (sVCAM‐1) and soluble intracellular adhesion molecule‐1 (sICAM‐1)], selectins (E, L and P), and inflammation [erythrocyte sedimentation rate (ESR), haptoglobin, interleukin (IL)‐6, IL‐1 receptor antagonist (IL‐1‐Ra), IL‐2‐soluble receptor (IL‐2sR), and tumour necrosis factor receptors‐I and ‐II (TNFR‐I and TNFR‐II)]. Results: RA patients had shorter Tr (p<0.05) and higher SI (p<0.001) than controls, indicating impaired large vessel compliance. After terbutaline, Tr remained shorter (p<0.05), while SI (p<0.01) and AIx (p<0.01) were higher. The post‐terbutaline changes in AIx and RI (ΔAIx, ΔRI), suggested to be the best PWA measurements of endothelial function, were smaller in RA patients (p = 0.06). In RA, L‐selectin and sVCAM‐1 correlated with ΔRI and L‐selectin also with ΔAIx. Both RI and AIx correlated at baseline with a retrospective inflammatory activity score. Conclusion: Arterial stiffness was increased in RA patients. Endothelial dysfunction was implicated and correlated with levels of soluble adhesion molecules. Small vessel resistance correlated with the long‐standing inflammatory load in RA.
Delay-independent stability of (Q, S, R)-dissipative networked systems with a distributed controller

In this paper a distributed control approach aiming at delay-independent stability of networked (Q,S,R)-dissipative systems is proposed. The key idea is to exploit the available computational power in the plant side to locally implement a static-output-feedback-input-feedforward controller. This controller can be interpreted as an invertible transformation of arbitrary dissipativity properties of the plant into finite L2-gain properties which are invariant against unknown constant time delay. As a result delay-independent stability of the overall system is guaranteed if the original plant and controller satisfy the well-known dissipativity-based stability conditions for interconnected systems without time delay. Extensions to time-varying delay and packet loss are straightforward. The superior performance of the proposed approach is demonstrated in simulations.
A tool for generating programs with mixed task and data parallelism

Distributed memory machines provide large computing power, but the development process for a specific parallel algorithm on a specific machine is complex due to the complicated runtime behaviour caused by communication overhead and load imbalance. We consider a powerful multi-dimensional scheduling embedded into a tool for generating parallel programs with mixed task and data parallelism. The program generation starts with a user provided specification of the maximum degree of task and data parallelism of the method to be implemented. In several derivation steps, the system adapts the degree of parallelism to a specific target machine. The therefore used scheduling is based on the genetic algorithm paradigm. Our scheduling takes not only decisions on the execution order (independent modules can be executed consecutively by all processors available or concurrently by independent groups of processors) and on the mapping of processors to tasks, but also on appropriate data distributions and module implementation versions (for each module there are several implementation version available, e.g., taken from a predefined set of library functions). Data redistribution operations and communication domain management operations are added, if necessary. The obtained parallel frame program can be translated in any imperative language augmented by a message passing library supporting groups. The efficiency of our system was demonstrate by several examples.
The Automatic Scientometrics Analyzing System

Governmental officers and non-IT researchers start to highly demand voluntary works of analyzing quantitative analyses. Additionally, in the international conferences I attended, some researchers are interested in my researches about big data analyses. On the other hand, data-based tools made by IT researchers and engineers are not diffused well, because it is difficult for others to interpret the results for the reality. Namely, collaborations between non-IT people and IT people sometimes do not go well. The reason is that human resources of ITresearchers or engineers are insufficient. The purpose of this research is to make effective analyzing system for scientometrics and bibliometrics used in innovation policy and technology management. Target users are IT users but not IT developers. I am making the Automatic Scientometrics Analyzing System. Its three parts are (1) data collection, (2) analyses, and (3) result presentation. By function separation and modularization, it becomes easy to add new data sources and new methodologies. The results on my presentation server are published automatically at the public place, Microsoft Azure Web service. This system will enable us to produce objective evidences for decision-making effectively.
Physiotherapy of Operative of Myocardial Revascularization Post-Surgery

Introduction: Myocardial infarction (MI) is defined by total interruption of coronary flow, resulting in ischemia and myocardial necrosis. In MI, diastolic function of the left ventricle is immediately altered, since part of the diastole is an energy-dependent procedure. Objective: To analyze, through a systematized review, the effect of physical therapy treatment in the postoperative period of myocardial revascularization. Methodology: The tool used to analyze the selected articles was the list of PRISMA recommendations. We analyzed original researches published in English and Portuguese in the last ten years, using the SCIELO, PUBMED, BIREME, MEDLINE databases. Results: 100 articles were selected, with inclusion and exclusion criteria, being chosen only 20 articles, 10 of Portuguese language and 10 of foreign language. Conclusion: Cardiac rehabilitation protocols, involving the association of conventional physiotherapy with stimulators and other techniques, such as PEEP, TENS, CPAP, muscle training, deep breathing exercises, provide a satisfactory and immediate result to individuals.
Research on Traffic Sign Classification Algorithm Based on SVM

A coarse-to-fine traffic sign classification algorithm is proposed. The task for traffic sign classification is to analyze the detected regions and determine the class of the sign in the region. By analyzing existing traffic sign classification algorithms, the major problem affecting the classification accuracy is pointed out. Based on this analysis, a coarse-tofine classification algorithm is proposed. The algorithm first classifies traffic signs into several super classes, then performs class-specific shape adjustment, and finally gets the fine classification result. Experimental results show that the proposed algorithm outperforms other existing algorithms in classification accuracy, and is robust to many adverse situations.
Identification and modeling of a multivariable thermodynamic system

This paper considers the identification and modeling of a thermodynamic cooling system for applications in metallurgy and food industry. The work extends the existing two-input single-output model to a two-input two-output model with time-varying delays. The linear transfer functions are identified using the maximum likelihood estimator whereas the time-varying delays are estimated using a correlation approach. The resulting model is shown to be ill-conditioned and quite interactive.
Differentiation-specific histone modifications reveal dynamic chromatin interactions and alternative partners for the intestinal transcription factor CDX 2

Citation Verzi, Michael P., Hyunjin Shin, H. Hansen He, Rita Sulahian, Clifford A. Meyer, Robert K. Montgomery, James C. Fleet, Myles Brown, X. Shirley Liu, and Ramesh A. Shivdasani. 2010. Differentiation-Specific Histone Modifications Reveal Dynamic Chromatin Interactions and Partners for the Intestinal Transcription Factor CDX2. Developmental Cell 19, no. 5: 713–726. doi:10.1016/j.devcel. 2010.10. 006.