Miracle-dz/UniFAR-FTUs huggingface dataset:
Poultry By-Product Meal as a Potential Protein Source in Broiler
 Diets with Exogenous Protease Supplementation

The objective of this study was to investigate the effect of exogenous protease supplementation in diets formulated with poultry by-product meal on growth performance, small intestine magnitudes, and meat physiochemical characters in broiler chickens from 21 to 35 days post-hatch. A total of 120, one-day-old "Arbor Acres Plus" broiler chickens (male: female - 50:50) were allocated one of two dietary treatments to give six replicates and ten birds per cage. Two dietary treatments included a control diet (CON) and a diet supplemented with protease (CON+Pro). At day 35, body weight and feed intakes were measured to calculate the feed conversion ratio for the entire experiment period. Two birds from each pen were euthanized to measure the relative lengths and relative weights of three small intestine sections and meat samples were collected for physiochemical characteristic analyses at 35 days post-hatch. Exogenous protease supplementation did not influence ( P >0.05) growth performance but showed a tendency to improve FCR ( P =0.082). Protease supplementation showed a tendency to reduce proximal small intestine length ( P =0.091). Broilers offered dietary treatments influenced minced meat color where protease supplementation resulted in lower CIE b * ( P <0.001) colorimetric value for yellowness and showed a significant trend ( P =0.059) on reducing meat redness CIE a * . In conclusion, the addition of exogenous protease to a broiler diet formulated with poultry by-product meal did not affect the growth performance, small intestine magnitudes, and meat physiochemical parameters (except CIE b * ) in broiler chickens.
Acoustic emission monitoring of naturally developed damage in large-scale low-speed roller bearings

This article presents an approach to identify naturally developed damage in low-speed bearings using waveform-similarity-based clustering of acoustic emissions (AEs) under fatigue loading. The approach is motivated by the notation that each recorded AE signal from a particular damage is defined by the convolution of the source signal, transfer function of the propagation path and transfer function of the utilised sensor, and may thusly be used to identify consistent AE sources, for example due to crack growth. A sequential clustering procedure is proposed, that is based on waveform cross-correlation. The supporting theoretical background of waveform similarity, rooted in an analytical formulation of waveform propagation and transmission in complex structures, is discussed. The presented methodology is evaluated through application to AE data obtained in a low-speed run-to-failure experiment utilising a densely instrumented purpose-built linear bearing segment. The implemented sensor system comprises arrays of three types of AE transducers, that is relatively low - (40–100 kHz), mid - (95–180 kHz) and high-frequency (180–580 kHz), that are situated on both the raceways and supporting substructures of either side of the bearing. Over the course of 225,000 cycles of extension and retraction, wear has been developed. A total of about ∼2,300,000 AE signals have been recorded. Analysis of the recorded data suggests the rate of degradation increases from around 70,000 cycles onwards. Highly consistent structures of clusters indicative of a localised defect in the raceway have been identified from around 170,000 cycles onwards. These clusters are characterised by hit-rates in the range of 1–2 hits per cycle and an average similarity of 93%, they comprise about half the AE activity for the periods they have been identified for. These results highlight that the proposed cross-correlation-based clustering of AE waveforms and identification of multi-channel formations in said clusters compose a suitable methodology for assessment of damage in low-speed roller bearings.
Ask Your Data—Supporting Data Science Processes by Combining AutoML and Conversational Interfaces

Data Science is increasingly applied for solving real-life problems, in industry and in academic research, but mastering Data Science requires an interdisciplinary education that is still scarce on the market. Thus, there is a growing need for user-friendly tools that allow domain experts to directly apply data analysis methods to their datasets, without involving a Data Science expert. In this scenario, we present DSBot, an assistant that can analyze the user data and produce answers by mastering several Data Science techniques. DSBot understands the research question with the help of conversation interaction, produces a data science pipeline and automatically executes the pipeline in order to generate analysis. The strength of DSBot lies in the design of a rich domain specific language for modeling data analysis pipelines, the use of a suitable neural network for machine translation of research questions, the availability of a vast dictionary of pipelines for matching the translation output, and the use of natural language technology provided by a conversational agent. We empirically evaluated the translation capabilities and the autoML performances of the system. In the translation task, it obtains a BLEU score of 0.8. In prediction tasks, DSBot outperforms TPOT, an autoML tool, in 19 datasets out of 30.
Prevalencia del síndrome de apnea obstructiva del sueño infantil en una unidad de sueño de referencia

Introducción. El síndrome de apnea obstructiva del sueño (SAOS) afecta a entre el 1 y el 6% de la población infantil. En su diagnóstico, se incluyen: a) ronquidos y/o apneas; y b) un índice de apneas e hipopneas >3/hora obtenido en la polisomnografía (PSG). El objetivo principal de este trabajo es determinar la prevalencia del SAOS en nuestra población de estudio. Pacientes y métodos. Estudio descriptivo con una muestra de 151 niños con edades comprendidas entre 1 y 12 años, remitidos a la unidad de sueño del Hospital General Universitario Gregorio Marañón para la realización de una PSG. Se analizaron las variables demográficas sexo y edad; las variables clínicas ronquidos, apneas e hipertrofia amigdalar; y la presencia de SAOS basada en el criterio diagnóstico polisomnográfico de un índice de apneas e hipopneas >3/hora. Resultados. La edad media de la muestra fue de 5,37 años (desviación estándar: 3,05) y el 64,9% eran varones. En el 90,1% de los casos, el motivo de consulta fue sospecha de SAOS. Los ronquidos, las apneas y la hipertrofia amigdalar se observaron en el 73,5, el 48,7 y el 60% de los casos, respectivamente. Se diagnosticó SAOS en 19 (12,6%) niños; en el 13,5% de los roncadores; en el 15,1% de los niños con apneas; y en el 15,6% de los niños con hipertrofia amigdalar. Conclusiones. En nuestro estudio, la prevalencia del SAOS en niños fue del 12,6%, superior a la descrita en la mayoría de los estudios epidemiológicos, pero similar a la observada en los que incluyen la PSG para el diagnóstico del SAOS.
Nonwoven Fabrics from Agricultural and Industrial Waste for Acoustic and Thermal Insulation Applications

Natural fibers are increasingly being used to make nonwoven fabrics, substituting synthetic materials for environmental and economic reasons. In this study, a series of needle-punched nonwoven fabrics were made by extracting fibers from coffee husks and blending them with a proportion of spinning waste consisting of cotton fibers and another five different natural fibers. This work investigates the coefficient of sound absorption, thermal conductivity, areal density, thickness, and air permeability. Overall, the sound absorption properties of the produced nonwoven fabric depend on the blend proportion and the number of layers. The results from the fabric containing nettle and banana fibers demonstrate a much-improved sound absorption coefficient. These results have been compared with those of commercially available nonwoven fabrics that are manufactured from polyester and polyurethane foam. The thermal conductivities of the fabrics made with nettle and coir were the highest and lowest, respectively. This is because of the fiber linear density, but all in all, fibers extracted from coffee husks show significantly promising potential for scaling up to replace existing synthetic fibers.
The Predominant Role of Signal Precision in Experimental Beauty Contests

Abstract The weight assigned to public information in Keynesian beauty contests depends on both the precision of signals and the degree of strategic complementarities. This experimental study shows that the response of subjects to changes in signal precision and the degree of strategic complementarities is qualitatively consistent with theoretical predictions, though quantitatively weaker. The weaker response of subjects to changes in the precision of signals, however, mainly drives the weight observed in the experiment, qualifying the role of strategic complementarities and overreaction in experimental beauty contests.
Control of physics-based fluid animation using a velocity-matching method

Fluid animation remains one of the most challenging problems in computer graphics. Research on methods using physics-based simulation for animation has recently increased since this method has the capability of producing realistic fluid behavior. However, the primary drawback to using a simulation method is control of the resulting flow field because it is computationally expensive and highly nonlinear. The main goal of this research is to help users produce physically realistic fluid effects along a NURBS curve that can be specified directly or derived from an image or video. A linear-feedback velocity matching method is used to control the fluid flow. A physically realistic smoke flow along a user-specified path is generated by first procedurally producing a target velocity field, and then matching the velocity field obtained from a three-dimensional flow simulation with the target velocity field. The target velocity field can include various effects such as the small scale swirling motion characteristic of turbulent flows. The swirling motion is achieved by incorporating a vortex particle method into the linear feedback loop. The method is flexible in that any procedurally-generated target velocity field may be integrated with the fluid simulation. The efficacy of this approach is demonstrated by generating several three-dimensional flow animations for complex fluid paths, two-dimensional artistic fluid effects, and realistic tornado animations.
Narratives of Slow Violence Fear by Greek-speaking Pregnant Women during the COVID-19 Period

During the COVID-19 pandemic pregnant women had to cope with the unknown and unprecedented challenges the coronavirus health crisis created. The Greek state and the biomedical discourse classified pregnant women as vulnerable due to the increased risk of severe illness and mortality rate of pregnant women infected by the coronavirus, depriving them of any kind of agency. However, the fear of slow violence of potential COVID-19 infection to the fetus’s health and the health of pregnant women led them, and particularly, the participants in this research, to act agentively as self risk-managers and to proceed to the adoption of several measures in order to alleviate this fear and to safeguard their own and their fetus’s health. These measures consisted of self-regulated preventive measures, mitigation strategies, and the COVID-19 vaccine uptake or refusal. These findings constituted the voice of the interviewees and their experience of being pregnant during the COVID-19 pandemic. They were the outcome of the conduct of eighteen online formal semi-structured in-depth online interviews and netnography. The research lasted three months, from 10 February 2022 to 10 May 2022, and was conducted in framework of the thesis: The experience of pregnancy in the COVID-19 period in Greece at the Master Course: Cultural Anthropology-Sustainable Citizenship of Utrecht University.
Abstract Entity Patterns for Sensors and Actuators

Sensors and actuators are fundamental units in Cyber–Physical and Internet of Things systems. Because they are included in a variety of systems, using many technologies, it is very useful to characterize their functions abstractly by describing them as Abstract Entity Patterns (AEPs), which are patterns that describe abstract conceptual entities. From AEPs, we can derive concrete patterns; a structure combining related AEPs is an Entity Solution Frame (ESF). This paper concentrates on the functional aspects of these devices and defines conceptual units that can be used to design any system that requires sensors and actuators; that is, almost any Cyber–Physical system. For concreteness, we explore them in this study in the context of autonomous cars. An autonomous car is a complex system because, in addition to its own complex design, it interacts with other vehicles and with the surrounding infrastructure. To handle these functions, it must incorporate various technologies from different sources. An autonomous car is an example of a Cyber–Physical System, where some of its functions are performed via Internet of Things units. Sensors are extensively used in autonomous cars to measure physical quantities; actuators are commanded by controllers to perform appropriate physical actions. Both sensors and actuators are susceptible to malicious attacks due to the large attack surface of the system in which they are used. Our work is intended to make autonomous cars more secure, which also increases their safety. Our final objective is to build a Security Solution Frame for sensors and actuators of autonomous cars that will facilitate their secure design. A Security Solution Frame is a solution structure that groups together and organizes related security patterns.
Low Regularity Stability for Subcritical Generalized Korteweg-de Vries Equations

Low Regularity Stability for Subcritical Generalized Korteweg-de Vries Equations Brian Pigott Doctor of Philosophy Graduate Department of Mathematics University of Toronto 2011 In this thesis we prove polynomial-in-time upper bounds for the orbital instability of solitons for subcritical generalized Korteweg-de Vries equations in H x(R) with s < 1. By combining coercivity estimates of Weinstein with the I-method as developed by Colliander, Keel, Staffilani, Takaoka, and Tao, we construct a modified energy functional which is shown to be almost conserved while providing us with an estimate of the deviation of the solution from the ground state curve. The iteration of the almost conservation law for the modified energy functional over time intervals of uniform length yields the polynomial upper bound.
Clinical Documentation During Clinical Placements: Perspectives of Physiotherapy Students and Clinical Educators

Background: Clinical documentation is a critical form of communication in healthcare settings. As defined by the Physiotherapy Practice Thresholds, clinical documentation that complies with relevant professional and legal obligations is a requirement for all physiotherapists in Australia and New Zealand. Aims: The aims of this study were to explore the experiences of clinical documentation and perceived support and training needs for physiotherapy students whilst on clinical placement, from the perspective of students and clinical educators. Method: A qualitative approach was used to investigate physiotherapy student (n=18) and clinical educator (n=17) experiences and perspectives. Interviews from eight focus groups were professionally transcribed, and reflexive thematic analysis was applied to the data to determine common themes. Results: Four overarching themes were generated; 1) Recognising the value of documentation, 2) Variance of expectations, 3) Challenges in measuring performance, and 4) Clinical placement readiness and requirements. Conclusion: The main findings from this study identify the unique challenges that students experience to meet documentation requirements on clinical placement. This study highlights the shared responsibility of university education providers and clinical placement facilities to support students to understand the importance of clinical documentation and assist in improving their documentation skills.
Effect of Inoculation of Efficient Diazotrophic Isolates on the Yield of Rice Grown under different Rice Production Systems

A field experiment was conducted during Rabi 2013, at wetland of Tamil Nadu Agricultural University, Coimbatore to study the nitrogen fixing potential of the selected diazotrophs on rice (ADT 43) under three different rice production systems viz., lowland, System of Rice Intensification (SRI) and aerobic methods of cultivation. The pH of the soil was found to be alkaline 7.5. The texure of the soil was clay loam. The available nitrogen and phosphorous was low with 192.8 and 19.8kg ha -1 respectively. The available potassium was found to be medium with 425.3 kg ha -1 . Among the three different rice growing systems, grain and straw yield were found to be maximum with application of 75% recommended dose of N with the combined inoculation of diazotrophic isolates viz., Azospirillum lipoferum (AsLC 1 I), Azotobacter chroococcum (AbSKN) , Beijerinckia indica (BeSC 2S2 ), Derxia gummosa (DeLTP2 ) and Pseudomonas fluorescens (PsAKK 3 ) in comparison with the standard strain A.lipoferum (Az - 204) in SRI (7.1 t/ha and 8.78 t/ha), followed by lowland (6.1t/ha and 6.8 t/ha) and aerobic rice (4.23 t / ha and 5.5 t / ha). The nitrogen uptake was found to be maximum in the above treatment at all three rice growing systems. Among the three systems, SRI (110 kg / ha) recorded maximum nitrogen uptake followed by lowland (81.6 kg / ha) and aerobic rice (70 kg / ha).
A note on Bipartite Eulerian Planar Maps

Liskovets and Walsh recently counted bipartite eulerian planar maps, that is embeddings of planar bipartite graphs with all vertices of even degrees. In this note we present a simple one-to-one correspondence between the latter and the 4-eulerian maps enumerated by Bousquet-Melou and Schaeffer (\emph{Adv. Appl. Math.}, 2000). A bijective enumeration then follows.
Multiphase modeling of tsunami impact on building with openings

The estimation of wave pressure on structures is complex during tsunami due to its unpredictable velocity and direction which depends on various ocean parameters. In this context, some tsunami mitigation strategy can be adopted, so that damage to structures during tsunami may be minimized. The effectiveness of different opening sizes in buildings to reduce wave pressure is investigated numerically in the present study. These results may also be applicable to simulate the tsunami impact on breakaway wall of a building. The effectiveness in tsunami force reduction is quantified in terms of pressure reduction throughout the building height. Computational fluid dynamics technique is used to analyze the wave impact on buildings. Solitary wave is generated in numerical platform by controlling discharge in a channel inlet. Three-dimensional Reynolds Averaged Navier–Stokes model is used to solve the governing equitation of fluid flow. Realizable k–ɛ turbulence model is applied for turbulence modeling. Multiphase .
Feature mutual reinforcement learning and resampling for RGB-T tracking

More and more researchers have paid attention to the tracking of visible-thermal infrared (RGB-T). How to fully exploit the complementary features of visible and thermal infrared images and fully integrate them is a key issue. After extracting image features, many researchers simply fuse the features by adding, connecting operations or designing fusion modules. However, these methods ignore the effects of different levels of fusion features on target modeling and specific feature extraction. In this work, we propose a RGB-T tracking network (MRLRNet) based on feature mutual reinforcement learning and resampling. Specifically, we design a feature mutual reinforcement learning module, which combines different layers of features to achieve progressive fusion. After each layer feature is extracted, the aggregation features are used to enhance specific modal features to achieve better specific feature representation and reduce noise and redundancy features. At the same time, we design a resampling module, which calculates the offset of two adjacent frames by phase correlation operation, and recalculates the Gaussian sample points to solve the problem of ground target loss caused by sudden camera movement. A large number of experiments on three RGB-T tracking datasets, GTOT, RGBT234 and LasHeR, demonstrate the effectiveness of this method.
The Impetus for Bloom of Mesozoic Terrestrial Ecosystems in Northern China: Insights From Volcanic Nutrient and Harmful Element Delivery

The Jehol and Yanliao biotas of northern China, two world‐class Lagerstätten with abundant biomass and biodiversity, provide critical clues to Mesozoic terrestrial ecosystems. Their evolution is a response to the destruction of the North China craton. However, the impetus for the rapid bloom of the biotas remains a mystery. Mesozoic large‐scale volcanic‐sedimentary strata in northern China are rich in terrestrial organisms. Statistical analyses show that volcanic nutrient element delivery, biomass, and biodiversity in these stratigraphic sequences increase synchronously, while harmful elements have the opposite change with them. These observations reveal the coevolutionary relationship between volcanism and terrestrial biotas. The increased nutrient element supply and inhibited harmful element delivery to terrestrial ecosystems from the voluminous volcanic products, produced under the geodynamic regime of paleo‐Pacific subduction and cratonic destruction, could create a conducive environment for the biodiversity and high prosperity of Mesozoic terrestrial biotas.
The development of copula and auxiliary be and overgeneration of be in child L2 English

This articles examines an asymmetry in the acquisition of copula and auxiliary be in a longitudinal corpus of English-acquiring consecutive bilinguals (ages 6;4–9;2). I argue that a delay in the productive use of auxiliary be vis-a-vis the copula can be explained under a theory of early L2 grammar that assumes an underspecified AspP. If aspectual features are taken to be underspecified in the initial state, structures requiring aspectual specification are expected to appear in a non-finite form (bare -ing or bare stem). These predictions are borne out in the L2 data as - ing forms and bare stems occur in non-finite and often aspectually inappropriate contexts and that the aspectual errors occur while the copula is used in an adult-like way.
A simulated pseudo-maximum likelihood estimatorfornonlinear mixed models

Abstract An estimatorforparameters of nonlinearmixed eects models obtained by maximisation of a sim-ulated pseudo-likelihood, is proposed. This simulated criterion is constructed from the likelihood of aGaussian model whose means and variances are given by Monte-Carlo approximations of means andvariances of the true model. The main advantage of the obtained estimator is that its asymptotic proper-ties are known when the number of observations per individual is nite. The performance of this estima-tor is compared to existing estimators using simulations. c 2002 Published by ElsevierScience B.V. Keywords:Asymptotic normality; Consistency; Nonlinear mixed eects model; Simulation estimator 1.Introduction Pharmacokinetics studies are conducted to study the property of a drug. As anexample, an antibiotic was given to 12 cows and the concentrations of this antibioticwere recorded in their milk at several times as shown in Fig. 1.Nonlinear mixed eects models are often used to describe this kind of data. Forthe ith cow, the concentrations depletion curve can be described by the modelY