Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of chia seeds (Salvia hispanica l.) inclusion in poultry diet on n-3 enrichment and oxidative status of meat during retail display

ABSTRACT The aim of this study was to investigate the oxidative status of poultry breast fillets enriched with n-3 from chia seeds, during retail display. Birds were assigned randomly to a control diet (corn-soy), or a corn-soy basal diet with 2.5s%, 5% or 10% chia seed. Lipid oxidation (TBARS), protein oxidation (carbonyls and total sulfhydryls), color, and heme iron content were measured in fresh breasts and after 4 days of display in a refrigerated showcase. Breast fillets from the control group presented higher values of b*, Hue angle, and Chroma than the 10% chia group, and no diet effect was observed on oxidation parameters. An increase in lipid and protein oxidation and in some of the color parameters (b*, Hue angle, and Chroma) were observed after 4 days of display. In conclusion, up to 5% chia seed can be included in the poultry diet without negative effects on meat quality.
ALL-OPTICAL KARHUNEN-LOEVE TRANSFORM USING MMI COUPLERS FOR IMAGE PROCESSING APPLICATIONS

Trong nghiên cứu này, chúng tôi đề xuất một phương pháp mới để nén ảnh trong miền toàn quang sử dụng kỹ thuật biến đổi KLT. Biến đổi KLT được thực hiện chỉ dùng một cấu trúc giao thoa đa mode MMI trong miền toàn quang. Biến đổi Karhunen-Loeve (KLT) rất hấp dẫn đối với các ứng dụng xử lý hình ảnh do hiệu quả tính toán, tương quan dư và lợi ích của tiêu chí biến dạng tỷ lệ. Cấu trúc giao thoa sử dụng hiệu ứng giao thoa giới hạn với việc thiết kế vị trí cổng vào và ra phù hợp để tạo được biến đổi KLT. Kỹ thuật nén ảnh toàn quang sử dụng KLT đã được thiết kế thành công trong dải bước sóng RGB nhìn thấy với độ chính xác cao, dải sai số chế tạo ±2 µm trong chiều dài MMI. Việc xử lý tín hiệu trong miền toàn quang như vậy có thể tích hợp được trên một chip đơn trong các camera trí tuệ nhân tạo trong tương lai. Phương pháp được đưa ra trong nghiên cứu này xử lý tín hiệu ảnh trực tiếp trong miền quang, do đó nâng cao tốc độ xử lý và giảm công suất tiêu thụ.
Recent Insights into Plant miRNA Biogenesis: Multiple Layers of miRNA Level Regulation

MicroRNAs are small RNAs, 20–22 nt long, the main role of which is to downregulate gene expression at the level of mRNAs. MiRNAs are fundamental regulators of plant growth and development in response to internal signals as well as in response to abiotic and biotic factors. Therefore, the deficiency or excess of individual miRNAs is detrimental to particular aspects of a plant’s life. In consequence, the miRNA levels must be appropriately adjusted. To obtain proper expression of each miRNA, their biogenesis is controlled at multiple regulatory layers. Here, we addressed processes discovered to influence miRNA steady-state levels, such as MIR transcription, co-transcriptional pri-miRNA processing (including splicing, polyadenylation, microprocessor assembly and activity) and miRNA-encoded peptides synthesis. MiRNA stability, RISC formation and miRNA export out of the nucleus and out of the plant cell also define the levels of miRNAs in various plant tissues. Moreover, we show the evolutionary conservation of miRNA biogenesis core proteins across the plant kingdom.
An Overview of In Vitro Biological Neural Networks for Robot Intelligence

In vitro biological neural networks (BNNs) interconnected with robots, so-called BNN-based neurorobotic systems, can interact with the external world, so that they can present some preliminary intelligent behaviors, including learning, memory, robot control, etc. This work aims to provide a comprehensive overview of the intelligent behaviors presented by the BNN-based neurorobotic systems, with a particular focus on those related to robot intelligence. In this work, we first introduce the necessary biological background to understand the 2 characteristics of the BNNs: nonlinear computing capacity and network plasticity. Then, we describe the typical architecture of the BNN-based neurorobotic systems and outline the mainstream techniques to realize such an architecture from 2 aspects: from robots to BNNs and from BNNs to robots. Next, we separate the intelligent behaviors into 2 parts according to whether they rely solely on the computing capacity (computing capacity-dependent) or depend also on the network plasticity (network plasticity-dependent), which are then expounded respectively, with a focus on those related to the realization of robot intelligence. Finally, the development trends and challenges of the BNN-based neurorobotic systems are discussed.
Existence of fixed points of nonexpansive mappings in certain Banach lattices

A fixed point theorem for nonexpansive mappings in dual Banach spaces is proved. Applications in certain Banach lattices are given. 1. Suppose K is a subset of a Banach space X and T: K -* K is a nonexpansive mapping, i.e. II T(x) T(y)jj S lix -yIj, x, y E K. A wellknown theorem due to Kirk [1] states that, if K is convex weakly compact (weak* compact when X is a dual space) and has normal structure, then T has a fixed point in K. In particular, if X = LP (1 0. Here and in the sequel V and A denote the least upper bound and the greatest lower bound respectively. X is said to be order complete if each set A C X with an upper bound has a least upper bound. A complex AM-space is defined as the complexification of an AM-space. Suppose X is an order complete AM-space with unit (i.e. an element e such that the unit ball at zero is the order interval [e, e]); then X is isometrically lattice isomorphic to the space CR (S) of all continuous real-valued functions defined on a compact Stonian space S. For these and other facts about Banach lattices we refer to Schaefer's book [4]. Received by the editors March 19, 1978. AMS (MOS) subject classifications (1970). Primary 47H10; Secondary 46B99, 46E05.
New approach to dynamic load balancing in software‐defined network‐based data centers

Critical issues such as connection congestion, long transmission delay, and packet loss become even worse during epidemic, disaster, and so on. In this study, a link load balancing method is proposed to address these issues on the data plane, a plane of the software‐defined network (SDN) architecture. These problems are NP‐complete, so a meta‐heuristic approach, discrete particle swarm optimization, is used with a novel hybrid cost function. The superiority of the proposed method over existing methods in the literature is that it provides link and switch load balancing simultaneously. The goal is to choose a path that minimizes the connection load between the source and destination in multipath SDNs. Furthermore, the proposed work is dynamic, so selected paths are regularly updated. Simulation results prove that with the proposed method, streams reach the target with minimum time, no loss, low power consumption, and low memory usage.
Analysis of the 5s 2 5p 2 –(5s5p 3 + 5s 2 5p5d + 5s 2 5p6s) transitions of four-times ionized xenon (Xe v)

The spectrum of xenon was photographed in the range 350–2000 A with 3-m normal-incidence and 10.7-m normal-incidence spectrographs. The source used in both cases was a gas-triggered spark. The Xe v spectrum was distinguished by observation of spectral changes with variation of spark current. The 5s25p2–(5s5p3 + 5s25p5d + 5s25p6s) transition array of Xe v was identified and analyzed. Calculations were carried out to assist in the analysis and to help us to interpret the results. An earlier analysis was revised and extended, and 73 lines are now classified. A value for the ionization energy of 436 700 ± 400 cm−1 was determined.
Comparison of Digital Planimetry and Ruler Methods for the Measurement of Extraction Socket Wounds

Background and objectives: The purpose of the study was to evaluate and compare ruler and digital planimetry methods to measure extraction socket wounds. Materials and Methods: In total, 41 extraction socket wounds were selected for assessment of wound area by ruler and digital planimetry methods. In the simple ruler method, the periodontal probe was utilized to measure the length and breadth of the extraction wound, whereas in the digital planimetry technique, Pictzar software was used. Data were analyzed using R software version 4.1. 1 and Excel. For intergroup comparisons of wound surface area, Welch t-tests were used, and paired t-tests were used for intragroup comparisons. Intra-class correlation coefficients (ICC) and 95% confidence intervals (CIs) were used to evaluate the inter-method reliabilities of surface area. Results: Both ruler and digital planimetry techniques showed post-operative reductions in surface area. A significant difference was reported between the two techniques; however, the ruler method measurements were overestimated compared to those obtained with digital planimetry. Conclusions: This study concludes that digital planimetry techniques provide more accurate results when compared with the simple ruler method.
A note on turbulent spots over a rough bed in wave boundary layers

This study is a continuation of the investigation of turbulent spots in wave boundary layers over a smooth wall reported by Carstensen et al. [J. Fluid Mech. 646, 169–206 (2010)10.1017/S0022112009992825]. The present paper summarises the results of an experimental investigation of turbulent spots in wave boundary layers over a rough wall. Two kinds of experiments were made: flow visualization tests and velocity profile measurements. The experiments show that turbulent spots as observed in the smooth-wall wave boundary layers are present irrespective of wall roughness conditions. As in the smooth-wall case the turbulent spots over the rough wall appear locally in time and space and grow in size as time progresses.
Predictors of Preeclampsia in the First Trimester in Normotensive and Chronic Hypertensive Pregnant Women

Preeclampsia (PE) is characterized by the new onset of hypertension (HT) and proteinuria beyond the 20th week of gestation. We aimed to find the best predictor of PE and find out if it is different in women with or without HT. Consecutively attended pregnant women were recruited in the first trimester of pregnancy and followed-up. Laboratory and office and 24 h-ambulatory blood pressure (BP) data were collected. PE occurred in 6.25% of normotensives (n = 124). Both office mean BP and 24 h-systolic BP in the first trimester were higher in women with versus those without PE (p ≤ 0.001). In women with chronic hypertension (cHT), PE occurred in 55%; office SBP (p = 0.769) and 24 h-SBP (p = 0.589) were similar between those with and those without PE. Regarding biochemistry, in cHT, plasma urea and creatinine were higher in PE women than in those without cHT (p = 0.001 and p = 0.004 for the differences in both parameters). These differences were not observed in normotensives. In normotensives, mean BP was the best predictor of PE [ROC curve = 0.91 (95%CI 0.82–0.99)], best cut-off = 80.3 mmHg. In cHT, plasma urea and creatinine were the best predictors of PE, with ROC curves of 0.94 (95%CI 0.84–1.00) and 0.93 (95%CI 0.83–1.00), respectively. In the first trimester of pregnancy, the strongest predictor of PE in normotensive women is office mean BP, while in cHT, renal parameters are the strongest predictors. Otherwise, office BP is non-inferior to 24 h ambulatory BP to predict PE.
THE POTENTIAL OF INTEGRATED POPULATION MODELLING †

Recent work has shown how the Kalman filter can be used to provide a simple framework for the integrated analysis of wild animal census and mark‐recapture‐recovery data. The approach has been applied to data on a range of bird species, on Soay sheep and on grey seals. This paper reviews the basic ideas, and then indicates the potential of the method through a series of new applications to data on the northern lapwing, a species of conservation interest that has been in decline in Britain for the past 20 years. The paper analyses a national index, as well as data from individual sites; it looks for a change‐point in productivity, corresponding to the start of the decline in numbers, considers how to select appropriate covariates, and compares productivity between different habitats. The new procedures can be applied singly or in combination.
Long‐wavelength propagation in composite elastic media II. Ellipsoidal inclusions

A self‐consistent method of estimating effective macroscopic elastic constants for inhomogeneous materials with ellipsoidal inclusions is formulated using elastic‐wave scattering theory. The method is a generalization of the method for spherical inclusions presented in the first part of this series. The results are compared to the Kuster–Toksoz estimates for the elastic moduli and to the rigorous Hashin–Shtrikman bounds and Miller bounds. For general ellipsoidal inclusions, our self‐consistent estimates satisfy both the Hashin–Shtrikman bounds and the more stringent Miller bounds, whereas the Kuster–Toksoz estimates for nonspherical inclusions do not satisfy even the Hashin–Shtrikman bounds in general. Our self‐consistency conditions for the cases of needle and disk inclusions differ from those of Wu, Walpole, and Boucher. Since our results are in better agreement with the rigorous bounds, it is concluded that our results are to be preferred. The method is also briefly compared to other self‐consistent sc.
Material property measurement of bio-structures using digital image correlation technique

In the present study, a digital image correlation method has been applied to measure the elastic modulus of a beetle wing membrane. Specimens were prepared by cutting beetle wing carefully with a size of 3.0 mm in width and 5.0 mm in length. We used a scanning electron microscope for exactly measuring the membrane thickness of a beetle wing membrane. The specimen was attached to a designed fixture to induce a uniform displacement using a micromanipulator. We measured the applied load and the corresponding displacement by a load cell with a maximum capacity of 5 N and by an ARAMIS system based on the digital image correlation method respectively. The measured thickness of a beetle wing varied from point to point of the wing part and the elastic modulus was different according to the loading direction. In conclusion, we successfully measured the elastic modulus of a beetle wing with an ARAMIS system based on the digital image correlation method.
Inertial Ranges in Two‐Dimensional Turbulence

Two‐dimensional turbulence has both kinetic energy and mean‐square vorticity as inviscid constants of motion. Consequently it admits two formal inertial ranges, E(k)∼e2/3k−5/3 and E(k)∼η2/3k−3, where e is the rate of cascade of kinetic energy per unit mass, η is the rate of cascade of mean‐square vorticity, and the kinetic energy per unit mass is ∫0∞E(k) dk. The −53 range is found to entail backward energy cascade, from higher to lower wavenumbers k, together with zero‐vorticity flow. The −3 range gives an upward vorticity flow and zero‐energy flow. The paradox in these results is resolved by the irreducibly triangular nature of the elementary wavenumber interactions. The formal −3 range gives a nonlocal cascade and consequently must be modified by logarithmic factors. If energy is fed in at a constant rate to a band of wavenumbers ∼ki and the Reynolds number is large, it is conjectured that a quasi‐steady‐state results with a −53 range for k « ki and a −3 range for k » ki, up to the viscous cutoff. The t.
Probing cosmic acceleration in j ð R ; T Þ gravity

: This paper reveals about a stable ﬂat cosmological model which has been constructed, and the evolution of dark energy has been investigated in the framework of the recently suggested non-Lagrangian j ð R ; T Þ modiﬁed gravity (Terule, Eur Phys J C 78:660, 2018). The toy model we are presenting in the current work reveals some interesting cosmological features consistent with observations and the standard K CDM model. The evolution of cosmic pressure shows a positive-to-negative transition corresponding to the cosmic deceleration–acceleration transition. Both the deceleration parameter and the cosmic pressure have the positive-to-negative sign ﬂipping. While this behavior can provide explanation for the deceleration–acceleration transition, the reason behind this positive-negative transition itself is still missing. The current model implies a very small positive value for the cosmological constant which also agrees with observations.
Theoretical and Experimental Study of Electrohydrodynamic Heat Transfer Enhancement Through Wire-Plate Corona Discharge

Heat and mass transfer between a surface and the surrounding gas can be enhanced by the application of electric body forces that induce jet or plume-like fluid motion. Such enhancement causes no noise or vibration, can be applied in complex, isolated geometries, and allows simple control of surface temperatures. This paper examines the potentially useful case of multiple fine-wire electrodes suspended in the open air above a grounded and heated horizontal surface. An infrared camera system was used to obtain a complete and accurate distribution of local heat transfer coefficients. on the impingement surface. A numerical code was developed and verified by comparison with experimental data. This code was then used to investigate and compare the heat transfer generated by novel electrode geometries.
OBSERVATIONAL CONSTRAINTS ON THE ORIGIN OF THE ALUMINUM ENHANCEMENTS AND MAGNESIUM DEPLETIONS IN BRIGHT M13 GIANTS

The most recent observations of the abundances of oxygen, sodium, magnesium, and aluminum provide strong support for the idea that "deep mixing" occurs within M13 giants. In deep mixing scenarios, material from the envelopes of globular cluster giants is assumed to be mixed well into the hydrogen burning shells of some (but not all) stars. There the abundances of a number of light elements are reshuffled by proton capture before the material is returned to the envelope above. The recent observations also put strong constraints on the conditions under which the reshuffling occurs. Shetrone's (1995, 1996) estimates of magnesium isotope ratios provide especially powerful constraints on the reshuffling temperature for the brightest aluminum-rich M13 giants. We find that proton capture nucleosynthesis can gie excellent account of the abundances of aluminum and the isotopes of magnesium in the brightest aluminum- rich giants of M13 -- and of the abundances of oxygen and sodium as well. In order to match the observations, the abundances in about ninety percent of the material that makes up the envelopes of these stars would have to have been reshuffled by proton capture at a temperature near 70 million kelvins (MK). The maximum temperatures in the hydrogen shells of canonical models for bright M13 giants is only ∼ 55 MK. We briefly discuss ways in which the observations and hte models might be reconciled. Our "best bet" is that hydrogen burning occurs intermittently (at higher temperatures) in some M13 giants rather than steadily (at lower temperatures) as it does in canonical models. We also find that recent rates for the Ne-Na cycle reactions (El Eid & Champange 1995) suggest solutions to two earlier puzzles: the shape of the Na-O abundance anticorrelation observed in globular cluster giants and the Na-N correlation observed in field halo giants.
Assessing racial bias in type 2 diabetes risk prediction algorithms

Risk prediction models for type 2 diabetes can be useful for the early detection of individuals at high risk. However, models may also bias clinical decision-making processes, for instance by differential risk miscalibration across racial groups. We investigated whether the Prediabetes Risk Test (PRT) issued by the National Diabetes Prevention Program, and two prognostic models, the Framingham Offspring Risk Score, and the ARIC Model, demonstrate racial bias between non-Hispanic Whites and non-Hispanic Blacks. We used National Health and Nutrition Examination Survey (NHANES) data, sampled in six independent two-year batches between 1999 and 2010. A total of 9,987 adults without a prior diagnosis of diabetes and with fasting blood samples available were included. We calculated race- and year-specific average predicted risks of type 2 diabetes according to the risk models. We compared the predicted risks with observed ones extracted from the US Diabetes Surveillance System across racial groups (summary calibration). All investigated models were found to be miscalibrated with regards to race, consistently across the survey years. The Framingham Offspring Risk Score overestimated type 2 diabetes risk for non-Hispanic Whites and underestimated risk for non-Hispanic Blacks. The PRT and the ARIC models overestimated risk for both races, but more so for non-Hispanic Whites. The risk of type 2 diabetes extracted from these landmark models were more severely overestimated for non-Hispanic Whites compared to non-Hispanic Blacks, potentially resulting in a larger fraction of non-Hispanic Whites being prioritized for a preventive intervention, but also more likely to be overdiagnosed and overtreated, with a larger fraction of non-Hispanic Blacks being potentially underprioritized and undertreated.
Probability, Convexity, and Harmonic Maps with Small Image I: Uniqueness and Fine Existence

This paper uses probability theory to provide an approach to the Dirichlet problem for harmonic maps. The probabilistic tools used are those of manifold-valued Brownian motion and Γ-martingales. Probabilistic proofs are given of uniqueness, continuous dependence on data, and existence of generalized solutions (finely harmonic maps), for target domains which have convex geometry. (This class of domain includes all regular geodesic balls). Links are made with new results in other fields: the Γ-martingale Dirichlet problem, Riemannian centres of mass
Effect of ion implantation parameters on Al dopant redistribution in SiC after annealing: Defect recovery and electrical properties of p-type layers

Epilayers of 6H and 4H–SiC were Al implanted with various doses to form p-type layers after a postimplantation annealing performed at 1700 °C/30 min. Rutherford backscattering spectrometry in the channeling mode analyses carried out before and after annealing show virgin nonimplanted equivalent spectra if the implanted layers are not amorphized. The amorphous layers are recrystallized after annealing with a residual damage level of the lattice relative to the quantity of the dopant implanted. Secondary ion mass spectrometry measurements performed on the implanted samples before and after annealing illustrate a good superposition of the profiles obtained before and after the annealing on nonamorphized samples. Dopant redistribution occurs after annealing, only on amorphized layers, with an intensity that increases with the implanted dose. Deduced from sheet resistance measurements, the dopant activation increases with the implanted dose. Activation of 80%–90% is obtained from capacitance–voltage measuremen.