Miracle-dz/UniFAR-FTUs huggingface dataset:
Reproduction-nutrition relationship in dairy buffaloes. I. effect of intake of protein, energy and blood metabolites levels

Fifty one Nili-Ravi dairy buffaloes in their last two months of gestation were selected. After parturition, rectal examination of reproductive organs was carried out until the occurrence of the first oestrus (PEI). Milk samples were analyzed for milk progesterone levels (MPL). Ovulation (POI) was confirmed by rectal palpation and MPL. Feed and blood samples were collected fortnightly and analyzed. Body condition score (BCS) was recorded on a scale of 0 to 5. Crude protein (CP) intake varied among different seasons and correlated positively with serum urea levels, POI (p<0.01) and PEI (p<0.05). Excess CPI was lower in the group showing oestrus as compared to those remaining as anoestrus (p<0.05). The dietary ratio of crude protein - metabolizable energy (CP:ME) in the oestrus animals was narrow and constant, while the anoestrus animals had a widely fluctuating one. In normal breeding season (NBS) calvers, mean serum urea level (SUL) was lower than the low breeding season (LBS) calvers. SUL was positively correlated with PEI and POI (p<0.01). Up to six months postpartum, SUL were constantly higher in anoestrus than oestrus buffaloes. Mean metabolizable energy (ME) intake was lower in the NBS calvers than the LBS calvers (p<0.01). BCS and postpartum ovulation interval were correlated with ME intake (p<0.01). Prepartum ME intake was higher in oestrous as compared to anoestrous animals (p<0.05). Higher and lower ME intakes were associated with anoestrus, while a moderate energy intake was associated with a PEI of less than 75 days. Buffaloes with poor BCS belonged to the LBS calving group and most of the NBS calving buffaloes had good BCS. BCS was negatively correlated with PEI (p<0.01) and was higher in oestrous buffaloes than anestrus. It was concluded that excess intake of crude protein, associated with higher serum urea levels and low energy intake, associated with poor body condition, are the key factors for low reproductive efficiency. It may be corrected by adopting a proper feeding strategy.
Liquid Metal Enabled Electrobiology: A New Frontier to Tackle Disease Challenges

In this article, a new conceptual biomedical engineering strategy to tackle modern disease challenges, called liquid metal (LM) enabled electrobiology, is proposed. This generalized and simple method is based on the physiological fact that specially administrated electricity induces a series of subsequent desired biological effects, either shortly, transitionally, or permanently. Due to high compliance within biological tissues, LM would help mold a pervasive method for treating physiological or psychological diseases. As highly conductive and non-toxic multifunctional flexible materials, such LMs can generate any requested electric treating fields (ETFields), which can adapt to various sites inside the human body. The basic mechanisms of electrobiology in delivering electricity to the target tissues and then inducing expected outputs for disease treatment are interpreted. The methods for realizing soft and conformable electronics based on LM are illustrated. Furthermore, a group of typical disease challenges are observed to illustrate the basic strategies for performing LM electrobiology therapy, which include but are not limited to: tissue electronics, brain disorder, immunotherapy, neural functional recovery, muscle stimulation, skin rejuvenation, cosmetology and dieting, artificial organs, cardiac pacing, cancer therapy, etc. Some practical issues regarding electrobiology for future disease therapy are discussed. Perspectives in this direction for incubating a simple biomedical tool for health care are pointed out.
Age determination and morphological study using otoliths in Cyprinus carpio Linnaeus, 1758 in the Southern Caspian Sea

The relationships between sagitta otolith morphology and fish size were examined for common carp in the Southern Caspian Sea; and also the aging of different length groups were determined. Statistical tests to examine correlation between left and right otoliths dimensions were carried out and no statistically significant difference between them was found. The biggest otolith had 0.032g weight belongs to an individual with BW= 428g and FL=36cm; and the smallest otolith had 0.014g for a fish with BW=220g and FL= 26cm. Regression model relations to each otolith morphometric parameter to fish length are provided. Also, the aging of this species was done by sectioning of sagitta otolith and a high significant correlations was found between fish age and morphometric parameters of both body weight and fork length and also otolith weight and length. The maximum age was determined 6 + years. The length-weight relationship was BW= 0.006 TL 3.232 (r = 0.963). According to the morphometric relationships obtained, it was concluded that otolith length and weight are good indicators of fish body weight and fork length.
Age, growth and natural mortality of the Patagonian sprat Sprattus fuegensis (Jenyns, 1842) in Chiloé inland sea, southern Chile

Growth parameters (L∞, K, and t0) and natural mortality of the Patagonian sprat (Sprattus fuegensis) Chiloe inland sea were estimated. This area corresponds to the northern limit of the species distribution in the South Pacific Ocean. A total of 1,584 otolith were analyzed between July 2005 and December 2006. A covariance analysis ruled out significant differences (P = 0.654) in the otolith size-fish length relationship between males and females. The otoliths showed high monthly proportion of hyaline edge type in August 2005 and from July to October 2006. The hyaline band formation from mid-winter to spring coincided with the breeding season extending from September to December. This suggests an annual periodicity of annuli formation, likely as a consequence of channeling energy into reproduction. The growth parameters were L∞= 17.71 cm; K = 0.78 yr -1 ; and t0 = -0.46 yr, while the maximum observed age was 6 years. Natural mortality given growth parameters and species maturity, was estimated at 1.0 yr -1 . The modal decomposition of monthly length distribution, analyzed by a statistical-numerical algorithm (MIX approach) gave similar results to those obtained from otolith readings.
Multiview conversion of 2D cartoon images

Multiview images oﬀer great potential for immersive autostereo-scopic displays due to the multiple perspectives of a dynamic 3D scene that can be simultaneously presented to a viewer. Traditional 2D cartoons do not contain depth information, and their painting styles are usually quite diﬀerent from those of real images captured from the real world. This makes existing 2D-to-3D conversion techniques inapplicable because of the diﬃculty on geometry recovery or lack of suﬃcient data. This paper introduces an interactive multiview conversion scheme from a single 2D cartoon image. The proposed approach mainly consists of depth assignment and view synthesis. An interactive depth assignment approach is proposed to treat a cartoon image as a composition of ordered depth layers, and the depth can be easily assigned to these layers. A depth smoothing procedure is introduced by solving a Laplace equation with boundary conditions and further depth reﬁnement is performed in order to produce a complete version of the depth map. An interactive image inpainting method is ﬁnally proposed to perform multiview image synthesis. The experimental results demonstrate the eﬀectiveness and eﬃciency of the proposed approach.
A note on transportation cost inequalities for diffusions with reflections

We prove that reflected Brownian motion with normal reflections in a convex domain satisfies a dimension free Talagrand type transportation cost-information inequality. The result is generalized to other reflected diffusions with suitable drifts and diffusions. We apply this to get such an inequality for interacting Brownian particles with rank-based drift and diffusion coefficients such as the infinite Atlas model. This is an improvement over earlier dimension-dependent results.
Estratégias de enfrentamento dos enfermeiros em serviço hospitalar de emergência

Objective: To identify the coping strategies of nurses in hospital emergency services, and relate them to sociodemographic and professional variables. Methods: Cross-sectional study with 89 nurses. Research instruments included a form to characterize the research subjects and the Ways of Coping Questionnaire by Folkman and Lazarus. Results: The most commonly used coping strategies were problem solving and positive reappraisal, whereas the least used was confrontation. The strategies of confrontation, positive reappraisal and escape-avoidance were associated with the male sex, not having a partner and working night shifts, respectively. Conclusion: Coping strategies can be aided by listening, monitoring, educational programs and creation of a space for discussion of work-related difficulties.
pRediCS: A new GO-PO-based ray launching simulator for the calculation of electromagnetic scattering and RCS from electrically large and complex structures

In this paper, we present a new simulator called pRediCS for the calculation of electromagnetic scattering and radar cross-section (RCS) from electrically large and complex targets. The simulator utilizes the geometric optics (GO) theory and launching of electromagnetic rays for tracing and calculating the electric eld values as the electromagnetic waves bounce around the target. The physical optics (PO) theory is also exploited to calculate the nal scattered electric eld by calculating the far-eld PO integration along the observation direction. The simulator is rst tested with known objects of canonical shapes, whose analytical solutions are available in the literature. Next, our implemented GO-PO{ type algorithm is validated by simulating the benchmark targets that have been well studied and documented by various studies. Finally, the RCS computation from complex and electrically large objects is calculated. By utilizing the RCS values for dierent frequencies and aspects, a successful inverse synthetic aperture radar image of the target with fast
The Channel Multivariate Entropy Triangle and Balance Equation

In this paper we use information-theoretic measures to provide a theory and tools to analyze the flow of information from a discrete, multivariate source of information $\overline X$ to a discrete, multivariate sink of information $\overline Y$ joined by a distribution $P_{\overline X \overline Y}$. The first contribution is a decomposition of the maximal potential entropy of $(\overline X, \overline Y)$ that we call a balance equation, that can also be split into decompositions for the entropies of $\overline X$ and $\overline Y$ respectively. Such balance equations accept normalizations that allow them to be represented in de Finetti entropy diagrams, our second contribution. The most important of these, the aggregate Channel Multivariate Entropy Triangle CMET is an exploratory tool to assess the efficiency of multivariate channels. We also present a practical contribution in the application of these balance equations and diagrams to the assessment of information transfer efficiency for PCA and ICA as feature transformation and selection procedures in machine learning applications.
Evaluation methods for dialect speech synthesis of similar dialect pairs

In this paper we investigate, which evaluation metric should be applied in the evaluation of dialect synthetic voices. In our evaluation we show that there are instances of dialect voices with high overall quality and low adequacy ratings, as well as voices with low overall quality and high adequacy ratings. This shows that as least these two metrics should be used in such an evaluation. For the evaluation of the adequacy of a voice we use task speciﬁc synthetic prompts and a situative priming of the listener. Synthetic dialect or sociolect voices can extend our ability to design realistic spoken dialog systems by allowing us to incorporate diﬀerent personas.
Professional Risk Factors for Burnout among Medical Residents

Study background: We aimed to identify professional risk factors for burnout among residents in medicine and surgery. Materials and methods: Epidemiological, observational, and cross-sectional study among trainee physicians working in the Champagne-Ardenne region, from 31 March to 3 May 2015. Burnout was assessed using the Maslach Burnout Inventory (MBI). Variables recorded included the location of the residency, the type of unit (hospitalisation ward, emergency department, consultations), workload, and exposure to patients’ suffering. Karasek’s Job Content Questionnaire was also administered. For each component of the MBI, univariate and binary logistic regression was performed to identify risk factors. Results: In total, 191 out of 644 eligible residents (29.7%) completed the survey. The majority were working in conditions likely to pose a risk to their health: 42.4% were exposed to job strain, and 19.9% had iso-strain. Overall, 62.8% of residents presented at least one component of burnout as assessed by the MBI. By multivariate analysis, risk factors for emotional exhaustion were high psychological demands (Odds Ratio (OR) 1.16; 95% confidence interval (95% CI) 1.05-1.29) and iso-strain (OR 3.25; 95% CI 1.29-8.22), while high psychological demands were also a risk factor for depersonalization (OR 1.14; 95% CI 1.07-1.22). Working in a hospitalisation unit (OR 3.66; 95% CI 1.30-10.3) and not meeting patients’ families (OR 11.7; 95% CI 3.08-44.4) were risk factors for a feeling of low personal accomplishment, whereas increased decision latitude had a protective effect (OR 0.95; 95% CI 0.91-0.99). Conclusion: This study identifies occupational risk factors for burnout among residents in training, and provides a useful basis for preventive measures aimed at changing the organisational structure in the hospital setting with a view to improving mental health among trainee physicians.
CoenzymeAbiosynthesis : anantimicrobial drug target

Pantothenic acid, a precursor of coenzyme A (CoA), is essential for the growth of pathogenic microorganisms. Since the structure of pantothenic acid was determined, many analogues of this essential metabolite have been prepared. Several have been demonstrated to exert an antimicrobial effect against a range of microorganisms by inhibiting the utilization of pantothenic acid, validating pantothenic acid utilization as a potential novel antimicrobial drug target. This review commences with an overview of the mechanisms by which various microorganisms acquire the pantothenic acid they require for growth, and the universal CoA biosynthesis pathway by which pantothenic acid is converted into CoA. A detailed survey of studies that have investigated the inhibitory activity of analogues of pantothenic acid and other precursors of CoA follows. The potential of inhibitors of both pantothenic acid utilization and biosynthesis as novel antibacterial, antifungal and antimalarial agents is discussed, focusing on inhibitors and substrates of pantothenate kinase, the enzyme catalysing the rate-limiting step of CoA biosynthesis in many organisms. The best strategies are considered for identifying inhibitors of pantothenic acid utilization and biosynthesis that are potent and selective inhibitors of microbial growth and that may be suitable for use as chemotherapeutic agents in humans.
Influence of a protocol of Pilates exercises on the contractility of the pelvic floor muscles of non-institutionalized elderly persons

1 Universidade Federal de Mato Grosso do Sul, Instituto Integrado de Saúde INISA, Curso de Fisioterapia. Campo Grande, Mato Grosso do Sul, Brasil. 2 Universidade Federal de Mato Grosso do Sul, Programa de Pós Graduação em Saúde e Desenvolvimento da região Centro-Oeste. Campo Grande, Mato Grosso do Sul, Brasil. 3 Universidade Federal de Mato Grosso do Sul, Universidade Aberta à Pessoa Idosa. Campo Grande, Mato Grosso do Sul, Brasil.
The hydrophobic topographies of amylose and its blue iodine complex

Two polymorphs of amylose, the native double-helical A-form and the single-stranded V H counterpart, as well as the amylose polyiodide complex were subjected to a molecular modeling study. Based on their X-ray diffraction-derived structures, the solvent-accessible' contact surfaces were generated, onto which the computed molecular lipophilicity profiles (MLPs) were projected in color-coded form, easily allowing to locate hydrophobic and hydrophilic surface regions. Their detailed analysis revealed the double-stranded A-form to be a rather compact structure with an irregular distribution of hydrophilic and hydrophobic regions over the entire outer surface, with the interior of the double helix being inaccessible even for small molecules. By contrast, V H -amylose, in accord with its water solubility, has a pronouncedly hydrophilic outside surface with an as distinctly hydrophobic channel. - In the dark-blue amylose-polyiodide complex, the hydrophobic channel of the single-helical V H -form serves as a well-ordered matrix for incorporation and alignment of the iodine-iodide species to elaborate a linear polyiodide chain in a nearly perfect steric fit and in full complementarity of hydrophobic regions of guest and host. Thus, the MLPs provide substantive credence to the view, that not only the amylose-iodine complex formation is mediated to an essential degree by hydrophobic attractions at the guest-host interface, but that the same factors determine the stability of this unique supramolecular assembly.
Proceedings of the Global Conference on Education and Research: Volume 1

The purpose for this poster presentation is to show what a growth mindset is, its relation to selfdirected learning, explore some of the recent findings on growth mindset and other socialpsychological interventions regarding bridging the achievement gap for disadvantaged adult learners, retention and suggest a way to explore the possibility that doing “in-depth, comprehensive training” of teachers in growth mindset strategies to support students in the classroom, in addition to online intervention with students, will intensify the decrease in achievement gap short term as well as increasing retention long term. Offering educators “in depth, comprehensive training with specific application to teaching and learning in the community college” (Auten, 2013, pg. 66) appeared to have had a positive effect on student success and retention during a one term, mindset intervention. Powers (2015) study including both faculty and students in a social-psychological intervention involving growth mindset showed changes in faculty and students. Yeager, et al. (2016) illustrated that a social-psychological intervention could be scaled up on-line and decrease the achievement gap for disadvantaged students. Pauneski (2013) and Pauneski, et al. (2015) show that the scaling up to a nationwide study still indicates a decrease in achievement gap. For the purpose of this poster presentation, adult learners are broadly defined to include college students over high school age, in or out of a formal school, with the primary focus being on college students.
Automatic Mood Detection of Music Audio Signals : An Overview

Music mood describes the inherent emotional expression of a music clip. It is helpful in music understanding, music retrieval, and some other music related applications. Over the past decade, a lot of research has been done in audio content analysis for extracting various kinds of information, especially the moods it denotes, from an audio signal, because music expresses emotions in a concise and succinct way, in an effective way. People select music compatibility to their moods and emotions, making the need to classify music in accordance to moods. In this paper different mood models are described which uses to detect different moods using different methods as hierarchical method and nonhierarchical method with GMM, SVM.
Interference in memory for pitch-only and rhythm-only sequences

In human memory, the ability to recognize a previously encountered stimulus often undergoes cumulative interference when the number of intervening items between its first and second presentation increases. Although this is a common effect in many domains, melodies composed in tuning systems familiar to participants (e.g., Western tonal music) do not seem to suffer such cumulative decrements in recognition performance. Interestingly, melodies in unfamiliar tuning systems do show cumulative decrements. This finding has been predicted by a novel Regenerative Multiple Representations (RMR) conjecture. The present study further explores this phenomenon and the conjecture by investigating pitch-only (isochronous rhythm) and rhythm-only (monotone pitch) sequences of melodies in an unfamiliar tuning system that previously showed cumulative disruptive effects. Experiment 1 replicated previous studies reporting significant interference effects from the number of intervening items when melodies use uncommon rhythms and are composed in an unfamiliar tuning system. Furthermore, as predicted by the RMR conjecture, when rhythmic information was neutralized (Experiment 2), the cumulative interference related to the number of intervening items was retained. This was also the case when the original pitch information of each melody was neutralized, leaving variation only in the rhythmic information (Experiment 3). Results are discussed in the context of the RMR conjecture: given converse results, the conjecture would have been falsified. However, it currently remains plausible and appears to be a useful tool for precise predictions about the link between prior experience, perception, and formation of new memories.
Creative Construction Conference 2018 , CCC 2018 , 30 June-3 July 2018 , Ljubljana , Slovenia A Study on Adjustment Method of Finishing Work Schedule based on Image Detection for High-Rise Building Construction

As recent buildings have been getting higher and larger, the finishing work management has become a key factor for successful projects. Although many finishing work management techniques have been trying to set up a measureable scheduling plan at early stages before construction lift installation, but schedule adjustments according to site condition and construction progress are inevitable because there are many unexpected variables. To develop the assistance tool for finishing work management techniques such as TACT or LOB(Line of balance), in this study, we suggested image-detection(helmet detection) based labor counting method. The internet protocol cameras at each inside of construction lift cages collect and send photography data to processing server. And through image detection processing using photography data, it is possible to count the number of workers put into each finishing work. The worker count result is used for comparison with the existing finishing work schedule. This study has served as a key lead of lift monitoring based construction process management. Therefore, it is anticipated to settle as a system based data-centric construction management technique in the field. © 2018 The Authors. Published by Diamond Congress Ltd., Budapest University of Technology and Economics Peer-review under responsibility of the scientific committee of the Creative Construction Conference 2018.