Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of Time Point and Sensitive Biomarkers of Maternal Zinc Depletion in Broiler Chickens and Pekin Ducks Fed a Zinc De�cient Dietary

Two experiments were aimed to determine the time points and sensitive biomarkers of maternal zinc (Zn) depletion in broiler chickens and Pekin ducks fed a Zn-de�cient dietary based on growth performance and tissue Zn content via a linear regression model, respectively. A total of 200 one-day-old male broiler chickens (experiment 1) and 200 one-day-old male Pekin ducks (experiment 2) were randomly allocated to 2 dietary treatments with 10 replicate cage (10 bird/cage). Two dietary treatments included a zinc-de�cient dietary (ZnD, 20.42 mg Zn/kg) and a control zinc dietary (CON, 84.77 mg Zn/kg). In experiment 1, compared to CON, ZnD decreased (P < 0.05) the body weight (d 7, d 14, and d 21), body weight gain, feed intake (d 1-7, d 1-14 and d 1-21), and the Zn content of plasma (d 7 and d 21), pancreas (d 7, d 14 and d 21) as well as tibia in broilers. The R 2 of a linear model was greater at d 7 than that at d 14 or d 21 for pancreas Zn content in broilers. In experiment 2, compared to CON, ZnD also decreased (P < 0.05) the body weight (d 7, d 14, and d 21), body weight gain (d 1-7, d 1-14 and d 1-21), feed intake (d 1-14 and d 1-21) and increased (P < 0.05) the feed to gain ratio (d 1-7 and d 1-14) in ducks. Compared with CON, ZnD reduced (P < 0.05) the Zn content of pancreas (d 7, d 14, and d 21), tibia (d 7, d 14 and d 21) as well as skin (d 14 and d 21) and increased (P < 0.05) the Zn content of plasma (d 21) and skin (d 7) in ducks. The R 2 of a linear model was greater at d 7 than that at d 14 or d 21 for skin Zn content in ducks. The results indicated that the maternal Zn was depleted by 7 d of age in both of birds; the sensitive biomarker for broilers is pancreas Zn content and for ducks is skin Zn content.
BCTT_A_380754 259..280

1Department of Radiation Oncology, Trakya University Faculty of Medicine, Edirne, Turkey; 2Department of Biostatistics and Medical Informatics Trakya University Medical Faculty, Edirne, Turkey; 3Department of Radiation Oncology, Eskisehir University Faculty of Medicine, Eskisehir, Turkey; 4Department of Pathology, Trakya University Faculty of Medicine, Edirne, Turkey; 5Department of Medical Oncology, Trakya University Faculty of Medicine, Edirne, Turkey; 6Trakya University Faculty of Medicine, Edirne, Turkey; 7Department of Radiation Oncology, Istanbul Arel University Faculty of Medicine, Istanbul, Turkey
Prediction of Machine Failure in Industry 4.0: A Hybrid CNN-LSTM Framework

: The proliferation of sensing technologies such as sensors has resulted in vast amounts of time-series data being produced by machines in industrial plants and factories. There is much information available that can be used to predict machine breakdown and degradation in a given factory. The downtime of industrial equipment accounts for heavy losses in revenue that can be reduced by making accurate failure predictions using the sensor data. Internet of Things (IoT) technologies have made it possible to collect sensor data in real time. We found that hybrid modelling can result in efﬁcient predictions as they are capable of capturing the abstract features which facilitate better predictions. In addition, developing effective optimization strategy is difﬁcult because of the complex nature of different sensor data in real time scenarios. This work proposes a method for multivariate time-series forecasting for predictive maintenance (PdM) based on a combination of convolutional neural networks and long short term memory with skip connection (CNN-LSTM). We experiment with CNN, LSTM, and CNN-LSTM forecasting models one by one for the prediction of machine failures. The data used in this experiment are from Microsoft’s case study. The dataset provides information about the failure history, maintenance history, error conditions, and machine features and telemetry, which consists of information such as voltage, pressure, vibration, and rotation sensor values recorded between 2015 and 2016. The proposed hybrid CNN-LSTM framework is a two-stage end-to-end model in which the LSTM is leveraged to analyze the relationships among different time-series data variables through its memory function, and 1-D CNNs are responsible for effective extraction of high-level features from the data. Our method learns the long-term patterns of the time series by extracting the short-term dependency patterns of different time-series variables. In our evaluation, CNN-LSTM provided the most reliable and highest prediction accuracy.
Physical modeling of buzzing artificial lips: the effect of acoustical feedback

The influence of the up- and downstream acoustics on the buzzing behavior of artificial lips has been studied. In the presence of a long downstream pipe, the oscillation frequency is well predicted by means of a model assuming a single mechanical degree of freedom for the lips. A minimum of the threshold pressure for buzzing is observed when the lips are just closed at rest. The magnitude of this threshold pressure is underestimated by the model. In order to fit experiments the quality factor of the lip resonance has to be reduced by a factor two compared to the measured quality factor. In the absence of downstream pipe the threshold pressure increases by a factor three and a jump in oscillation frequency from one mechanical lip-mode to another one is observed as the lung pressure is increased. An attempt to describe this behavior by means of a 2-mass-model fails.
Research on How External Environment Influences Digitalization of Cultural Enterprises

Digitalization is critical to the growth of cultural industry today. However, existing research has not explained the mechanism by which the external environment affects the digitalization of cultural enterprises. Based on structural equation modeling, we tested the model empirically using data from 295 cultural enterprises in Beijing. The results show that two external environmental variables, the market pressure and the government’s supportive policies, have a positive impact on the adoption of digitalization in cultural enterprises through technical and organizational factors. The research conclusion explains how the external environment influences digitalization in cultural enterprises. Technological factors of digitalization capability and digitalization compatibility and organizational factors of perceived benefits play a mediating role between the external environment and the digitalization of cultural enterprises. Based on these conclusions, we finally put forward a series of countermeasures to enhance the digitalization of cultural enterprises.
Numerical solution of non-local PDEs arising in Finance.

It is a well known fact that the value of an option on an asset following a Levy jump-process, can be found by solving a Partial Integro-Differential Equation (PIDE). In this project, two new schemes are presented to solve these kinds of PIDEs when the underlying Levy process is of infinite activity. The infinite activity jump-process leads to a singular Levy measure, which has important numerical ramifications and needs to be handled with care. The schemes presented calculate the non-local integral operator via a fast Fourier transform (FFT), and an explicit/implicit operator splitting scheme of the local/global operators is performed. Both schemes will be of 2nd order on a regular Levy measure, but the singularity degrades convergence to lie in between 1st and 2nd order depending on the singularity strength. On the logarithmically transformed PIDE, the schemes are proven to be consistent, monotone and stable in $L^infty$, hence convergent by Barles-Perthame Souganidis.
An evaluation of the structure of tropical intraseasonal oscillations in three general circulation models

The attributes for the simulation of tropical intraseasonal oscillations in the 30 to 60 day range by three GCMs are compared with analyses of the European Center for Medium-Range Weather Forecasts. Models under consideration include the Goddard Laboratory of Atmospheric sciences (GLAS), Goddard Laboratory for Atmospheres (GLA), and UCLA GCMs. They are characterized by the same resolutions of four degrees latitude by five degrees longitude with 9 levels. Observations reveal that the eastward traveling planetary scale structure becomes more stationary over the Indonesian region and accelerates over the Central Pacific. In the tropics a Kelvin wave-type structure is found to be dominant near the center of the oscillation. The simulated winds are realistic although the meridional component is too strong, especially in the GLA GCM. The differences in the structure of the oscillation in the GLAS GCM and GLA GCM are considered to be a consequence of the different numerical schemes used. The GCMs are characterized by preferred zones for diabatic heating, with a turn-on heating occurring when the rising branch of the intraseasonal oscillation passes over these convective regions.
Exploring isovist-based correlates of spatial behavior and experience

Isovist and visibility graphs offer the great chance to describe spatial properties of environments generically. This paper discusses theoretical and methodological issues arising from the practical application of isovist analysis for empirical research in the field of spatial cognition and architectural psychology. The background of two experiments exploring the influence of spatial form and structure on behavior and experience is presented. Since isovists and visibility graphs allow the translation of a wide range of spatial environments into a common and generic data format, a central analytical step is the derivation of specific characteristic values. As most descriptors mentioned in the literature are rather basic and derived from formal analysis, their descriptive relevance for human spatial perception, behavior, and experience cannot be taken for granted. Hence, the derivation of meaningful descriptors was done theory-driven and empirically verified particularly focusing on classic theories of environmental psychology. Furthermore, strategies for solving the practical issue of finding a suitable scope of application for the analysis as well as the relation between the measurands are discussed. Based on this, a preliminary minimal set of isovist derivatives generically capturing behaviorally and experientially relevant properties of architectural space is proposed.
On Gracefully Labeling Trees

A method to obtain all possible graceful spanning trees in a complete graph is proposed. An algorithm to generate all the labeled spanning trees in a complete graph is developed and modified to generate all graceful spanning trees. The count of all possible graceful graphs in a complete graph is obtained. An upper bound on the count of gracefully labeled trees in a complete graph is obtained. We settle Graceful Tree Conjecture in the affirmative in two ways: 1) We show that all trees can be gracefully labeled by assigning the lowest label 1 to the so called special vertices of trees, i.e. prependant vertices or pendant vertices adjacent to prependant vertices. 2) We establish the existence of graceful labeling for all trees by associating distinct lattice paths with trees and by showing the existence of a lattice path for a tree of each isomorphism type by showing how to construct a lattice path recursively by starting from the lattice path for its pendant vertex deleted subtree, which is assumed to exists by induction, and carrying out appropriate modification of this lattice path. 3) We propose a crisp algorithm to gracefully label tree of every isomorphism type with the help of novel representation for any tree in terms of juxtaposition of paths. Lastly, we discuss an algorithm to find arbitrarily degree constrained graceful spanning tree and propose some problems for further investigation.
My own Morse-theoretical education began at Oxford with Brian Steer in the 1970 ’ s , and I learned a lot from my fellow students

Morse theory is not merely a useful technique. It embodies a far-reaching idea, which relates analysis, topology and (most recently) physics. This no doubt is responsible for the resilience of Morse theory over the past several decades: despite the essential simplicity of the idea, it seems to re-emerge every few years to play a crucial role in some major new mathematical development. The title of Bott’s article [Bo4] was no doubt inspired by this resilience — here is a subject which appears to be completely “worked out”, yet which time after time has come back to yield something unexpected. Characteristically, a few years after the appearance of [Bo4], Morse theory is again at the forefront of mathematics, as a motivational example of a “topological field theory”.
Effect of substrate type on the lattice structure of AlN thin films annealed at high temperature

To measure the surface temperature of aerospace hot-end components accurately, AlN thin film temperature measurement technology is being explored. The core of this temperature measurement technology is the evolution law of the lattice structure with temperature, but the influence of substrate on its lattice structure is still unclear. In this research, C-axis preferred orientation AlN thin films were deposited on Ni-based superalloy and quartz glass substrates by Mid-frequency reactive magnetron sputtering. The effect of substrate type on the lattice structure of annealed AlN thin films was investigated. It was found that with the increase of temperature, the lattice structure parameters (2θ) of AlN thin films deposited on Ni-based superalloy gradually shifted to the left, while those of AlN thin films deposited on quartz glass keep a constant until 1300 °C. The results reveal that quartz glass substrate has no influence on the lattice structure of AlN thin films as long as the temperature is lower than 1300 °C. Quartz glass substrates are suitable for follow-up research of AlN thin film temperature measurement technology.
2005 Stimulated emission from the biexciton in a single quantum dot

Using two optical pulses of diﬀerent frequencies, we demonstrate entanglement and disentanglement of the electronic states in Stranski-Krastanov quantum dots. Resonant two-photon excitation of the biexciton creates an entangled Bell-like state. The second pulse, being resonant to the exciton-biexciton transition, stimulates the emission from the biexciton and fully disentangles the two-bit system. By setting the polarization of the stimulation pulse, we control the recombination path of the biexciton and, by this, the state of the photons emitted in the decay cascade.
Quasi‐average mean square consensus for wireless sensor networks under three topologies with respect to sleeping‐awaking method

The quasi‐average mean square consensus problem for wireless sensor networks is studied in this paper. The related networks considered are time continuous and linear, and possess the leader–follower structures in which some sensors act as leaders and the others act as followers, with the locale information controlled. Three different leader–follower structures are proposed in this paper. The first one is the topology with fixed leaders and varying followers which arrives at a quasi‐average mean square consensus by applying the sleeping‐awaking method to all cliques of the followers. The second one is the topology with fixed leaders and fixed followers which arrives at a quasi‐average value consensus via the general protocol. The third one is the topology with varying leaders and fixed followers which arrives at a quasi‐average mean square consensus by applying the sleeping‐awaking method to all cliques of the leaders. For mentioned three topologies, some necessity and sufficiency conditions of the related consensus are obtained, respectively. To illustrate the effectiveness of the obtained results, some numerical examples are presented finally. Copyright © 2012 John Wiley & Sons, Ltd.
Modélisation électromagnétique pour le filtrage UV appliquée à la protection solaire

Une creme solaire, ayant pour objectif de filtrer les UV, est un systeme complexe, a plusieurs phases, contenant deux types de filtres : des filtres dits chimiques - c'est-a-dire des molecules absorbantes - et des reflecteurs (comme le TiO2), protegeant par diffusion de la lumiere. Afin d'evaluer l'efficacite des produits, des mesures d'indice de protection (IP ou SPF) existent ; la creme est placee in vivo sur differents phenotypes de peau ou in vitro sur un support plastique en PMMA.Afin de modeliser la protection solaire, nous avons cherche a connaitre la repartition de la creme sur son support. Nous avons pour cela utilise l'OCT (Tomographie a Coherence Optique) avec un support plastique metallise, permettant d'ameliorer le contraste des images.Ceci nous a alors permis, en connaissant les parametres des differents filtres chimiques ou particulaires, de modeliser la transmission de la creme sur son support la peau ou le PMMA. Nous avons pour cela utilise la methode differentielle, une methode de calcul de diffusion de la lumiere permettant de traiter une structure bidimensionnelle.Nous avons alors pu comparer nos resultats de calcul avec des mesures de protection, etudier l'influence de quelques caracteristiques des particules comme la taille ou le materiau utilise, ou bien encore evaluer l'effet de l'hydratation de la couche la plus externe de la peau sur la protection solaire. Nous avons par ailleurs cherche a ameliorer la vitesse et le champ d'application des calculs en comparant les resultats obtenus par la methode differentielle avec d'autres modeles (diffusion de la lumiere par des tiges ou theorie de Mie).
Online medical history taking course: Opportunities and limitations in comparison to traditional bedside teaching

Objective: Obtaining a systematic medical history (MH) from a patient is a core competency in medical education and plays a vital role in the diagnosis of diseases. At the Faculty of Medicine at LMU Munich, students have their first course in MH taking during their second year. Due to the COVID-19 pandemic, the traditional bedside MH taking course had to be transformed into an online course (OC). Our objectives were to implement an online MH taking course, to evaluate its feasibility and to compare the evaluation results to a historic cohort that had undertaken the traditional bedside teaching course (BTC). Methods: 874 second-year students participated in the OC (BTC=827). After teaching the theoretical background via asynchronous online lectures, students participated in a practical exercise with fellow students using the video communication platform Zoom where they were able to practice taking a MH on the basis of fictitious, text-based patient cases. Students were then asked to evaluate the course through a standardized online survey with 31 questions on teaching quality and self-perceived learning success, which had also been used in previous years. The survey results were compared to the results of the historic cohort using the Mann-Whitney U test. Results: A total of n=162 students (18.5%) evaluated the OC. In the historic cohort, n=252 (30.5%) completed the survey. 85.3% of the OC respondents thought that the atmosphere during the practical exercise was productive and 83.0% greatly appreciated the flexibility in terms of time management. Moreover, they appreciated the online resources as well as having the opportunity to undertake a MH taking course during the COVID-19 pandemic. 27.7% of the respondents thought that traditional BTCs should be supplemented through more online activities in the future. With respect to the ability of independently taking a MH upon completion of the course, the OC was rated significantly lower relative to the BTC (mean OC=2.4, SD=±1.1 vs. mean BTC=1.9, SD=±1.1 (1=strongly agree; 5=strongly disagree); p<0.0001). Conclusion: OCs are a feasible format and seem to convey the theory and practical implementation in a peer-exercise format of MH taking to medical students. The theoretical background can be acquired with great flexibility. Nevertheless, the students’ self-appraisal suggested that the traditional teaching format was more effective at teaching MH taking skills. Thus, we propose a blended learning concept, combining elements of both formats. In this context, we suggest prospective, randomized trials to evaluate blended learning approaches.
Character-enabled improvisation and the new normal: A paradox perspective

The COVID-19 pandemic has amplified and exacerbated organizational paradoxes felt by individuals largely because of the nostalgia individuals feel for the “old” normal while facing the need to let go in order to create a “new” normal. We position improvisation as a synthesis-type approach to working through the paradoxes of the pandemic. Furthermore, we look at individual differences that underpin the ability to improvise, and identify that it is the strength of character and character-based judgment of the individual that enables the enactment of a focal context, the choice to improvise, and the act of effectively improvising to work through paradoxes. Linking character to improvisation, and, vice versa, improvisation to the development of character, reveals the importance of dimensions such as courage, humility, temperance, transcendence, humanity, and collaboration in the practice of improvisation.
Convergence of fixed‐point iteration for the identification of Hammerstein and Wiener systems

Convergence property of the iterative algorithm for Hammerstein or Wiener systems is generally hard to establish because of the existence the unmeasurable internal variables in such systems. In this paper, a fixed‐point iteration is introduced to identifying both Hammerstein and Wiener systems with a unified algorithm. This newly proposed estimation algorithm gives consistent estimates under arbitrary nonzero initial conditions. In addition, the errors of the estimates are established as functions of the noise variance, and thus how the noise affects the quality of parameter estimates for a finite number of data points is made clear. Copyright © 2012 John Wiley & Sons, Ltd.
Associations between liver function parameters and poor clinical outcomes in peritoneal dialysis patients

Patients with end‐stage renal disease (ESRD) have significantly lower survival rates compared with the general population of the same age. Peritoneal dialysis (PD) is an effective treatment for patients with ESRD, but the clinical outcome of PD patients is still not promising. The survival of PD patients is associated with various clinical factors, and exploring some valid risk predictors may be beneficial for this population. In this review, by integrating the latest research, we summarized the association of some common and novel liver function parameters (ALT, AST, ALP, GGT, serum bilirubin, pre‐albumin, albumin, albumin‐globulin ratio [AGR], serum ferritin, and hyaluronic acid) with clinical outcomes in PD patients. It may contribute to a better understanding of potential risk factors and help to develop strategies to prevent the disease progression.
How well does the General Movement Assessment predict general developmental delay in infants born very preterm/low birthweight?

2. Bogart KR. The role of disability selfconcept in adaptation to congenital or acquired disability. Rehabil Psychol 2014; 59: 107– 15. 3. Bogart KR, Lund EM, Rottenstein A. Disability pride protects selfesteem through the rejectionidentification model. Rehabil Psychol 2018; 63: 155– 9. 4. Silverman AM, Molton IR, Smith AE, Jensen MP, Cohen GL. Solace in solidarity: Disability friendship networks buffer wellbeing. Rehabil Psychol 2017; 62: 525– 33. 5. Olkin R. DisabilityAffirmative Therapy. In: The Professional Counselor's Desk Reference. New York, NY: Springer; 2009. p. 355– 70.