Miracle-dz/UniFAR-FTUs huggingface dataset:
Hyperpigmentation Inhibits Early Skeletal Muscle Development in Tengchong Snow Chicken Breed

Tengchong snow, which has white feathers and black meat, is one of the most important black-bone chicken breeds and a genetic treasure of black food in China. Although the black meat traits are dominant, there are some chickens with white meat traits born in the process of folk selection and breeding. The purpose of this study was to compare the differences in skeletal muscle development between Tengchong snow black meat chickens (BS) and white meat chickens (WS), as well as whether excessive melanin deposition has an effect on skeletal muscle development. The BS and WS groups were selected to determine their muscle development difference at stages of 1, 7, 14, 21, and 42 days, using histological stain methods to analyze the development and composing type of breast and leg muscle fibers, as well as the count of melanin in BS muscle fibers. Finally, we were validated key candidate genes associated with muscle development and melanin synthesis. The results showed that BS breast muscle development was inhibited at 7, 14, and 21 days, while the leg muscle was inhibited at 7, 14, 21, and 42 days, compared to WS. Melanin deposition was present in a temporal migration pattern and was greater in the leg muscles than in the breast muscles, and it focused around blood vessels, as well as the epithelium, perimysium, endomysium, and connective tissue. Additionally, melanin produced an inhibitory effect similar to MSTN during skeletal muscle fiber development, and the inhibition was strongest at the stage of melanin entry between muscle fibers, but the precise mechanisms need to be confirmed. This study revealed that melanin has an inhibitory effect on the early development of skeletal muscle, which will provide new insights into the role of melanin in the black-boned chicken and theoretical references for the future conservation and utilization of black-boned chicken.
Association between 25-OH Vitamin D Deficiency and COVID-19 Severity in Pregnant Women

Evidence from studies in the general population suggests an association between vitamin D insufficiency/deficiency and COVID-19 susceptibility and disease severity. The present study was performed on 165 third-trimester pregnant women at the time of delivery. Seventy-nine women tested negative for SARS-CoV-2. From 86 women testing positive, 32 were asymptomatic, 44 presented a mild form of the disease, and 10 experienced severe symptoms. Serum 25-OH vitamin D levels were measured on blood samples collected on admission. Low vitamin D levels were detected in symptomatic but not asymptomatic COVID-19 patients compared to healthy women (p = 0.0227). In addition, 20 (45.4%) pregnant women in the mild COVID-19 group and 6 (60%) in the severe group were vitamin D deficient (p = 0.030). On the other hand, lasso regression analysis showed that 25-OH vitamin D deficiency is an independent predictor of severe COVID-19 with an odds ratio (OR) of 5.81 (95% CI: 1.108–30.541; p = 0.037). These results show the relationship between vitamin D deficiency in pregnant women and the severity of COVID-19 infection and support the recommendation to supplement with vitamin D to avoid worse COVID-19 outcomes during pregnancy.
Hydrodynamic fluctuations at the convective instability

The effects of thermal fluctuations on the convective instability are considered. It is shown that the Langevin equations for hydrodynamic fluctuations are equivalent, near the instability, to a model for the crystallization of a fluid in equilibrium. Unlike the usual models, however, the free energy of the present system does not possess terms cubic in the order parameter, and therefore the system undergoes a second-order transition in mean-field theory. The effects of fluctuations on such a model were recently discussed by Brazovskii, who found a first-order transition in three dimensions. A similar argument also leads to a discontinuous transition for the convective model, which behaves two dimensionally for sufficiently large lateral dimensions. The magnitude of the jump is unobservably small, however, because of the weakness of the thermal fluctuations being considered. The relation of the present analysis to the work of Graham and Pleiner is discussed.
TIME–FREQUENCY ANALYSIS IN GEARBOX FAULT DETECTION USING THE WIGNER–VILLE DISTRIBUTION AND PATTERN RECOGNITION

Abstract In this paper, the study of the Wigner–Ville distribution in gearbox condition monitoring is presented. In contrast to other applications of the Wigner–Ville distribution, this paper reports the application of two pattern recognition procedures to detect tooth faults reliably. These procedures are based on statistical and neural pattern recognition. The methods are applied to the detection of a broken tooth in a spur gear.
Industry Competition, Corporate Governance, and Voluntary Disclosure of Greenhouse Gas Emissions Information: Evidence from South Korea

This study investigates the relationship between industry competition and managers’ voluntary disclosure policies and examined how the corporate governance structure affects this relationship in South Korean companies. The fiercer the competition within the industry to which the company belongs, the higher the incentive for managers to perform strategic actions to improve their competition status. This increase in the strategic incentives of managers can be seen through voluntary disclosure policies. The empirical results of this study are as follows. First, it was found that there was a negative relationship between the degree of industry competition and the level of voluntary disclosure of greenhouse gas emissions information. This means that managers perform less disclosure to maximize the value of the company because the more competition within the industry intensifies, the higher the proprietary cost of disclosing information on greenhouse gas emissions information. Second, it was found that the corporate governance structure weakened the relationship between the degree of industry competition and the level of corporate voluntary disclosure. These results can be interpreted as that a good governance structure supports such managers’ disclosure decisions because managers are more likely to choose disclosure policies to maximize the value of the company than personal benefits even in the fierce industry competition.
Molecular Gas in Intermediate Redshift ULIRGs

We report on the results of observations in the CO(1-0) transition of a complete sample of Southern, intermediate redshift (z = 0.2 - 0.5) Ultra-Luminous Infra-Red Galaxies using the Mopra 22m telescope. The eleven ULIRGs with L_FIR > 10^12.5 L_Sun south of Dec = -12 deg were observed with integration times that varied between 5 and 24 hours. Four marginal detections were obtained for individual targets in the sample. The "stacked" spectrum of the entire sample yields a high significance, 10{\sigma} detection of the CO(1-0) transition at an average redshift of z = 0.38. The tightest correlation of L_FIR and L_CO for published low redshift ULIRG samples (z < 0.2) is obtained after normalisation of both these measures to a fixed dust temperature. With this normalisation the relationship is linear. The distribution of dust-to-molecular hydrogen gas mass displays a systematic increase in dust-to-gas mass with galaxy luminosity for low redshift samples but this ratio declines dramatically for intermediate redshift ULIRGs down to values comparable to that of the Small Magellanic Cloud. The upper envelope to the distribution of ULIRG molecular mass as function of look-back time demonstrates a dramatic rise by almost an order of magnitude from the current epoch out to 5 Gyr. This increase in maximum ULIRG gas mass with look-back time is even more rapid than that of the star formation rate density.
A High-Speed Low-Noise Comparator With Auxiliary-Inverter-Based Common Mode-Self-Regulation for Low-Supply-Voltage SAR ADCs

A high-speed low-noise comparator with an auxiliary inverter-based (AIB) preamplifier is proposed in this brief. The preamplifier adopts an inverter-based input pair without tail transistors, which is well-suitable for low-supply-voltage applications, especially in deep submicrometer technologies. Moreover, it achieves high bandwidth and low noise with high current efficiency. Dynamic common-mode feedback combined with a secondary inverter-based input pair regulates the output common-mode (CM) voltage of the preamplifier by itself against PVT and input CM voltage sensitivity without complex control logic and quiescent current. Embedded in a 200 MS/s 16-bit successive-approximation-register (SAR) analog-to-digital converter (ADC) in standard 28-nm CMOS technology, the proposed comparator achieves a 68.1-ps delay at a 50-<inline-formula> <tex-math notation="LaTeX">$\mu \text{V}$ </tex-math></inline-formula> differential input voltage and a root-mean-square input-referred noise of 45.6 <inline-formula> <tex-math notation="LaTeX">$\mu \text{V}_{\mathrm {rms}}$ </tex-math></inline-formula> under the 1-V power supply.
A midwave compressive imaging system design for high throughput

We describe the design and evaluate the performance of a compressive imaging system comprised of a 256x320 detector array sensitive to mid-wave infrared, DMD, objective and relay lenses. The irradiance of each detector element is characterized that allows a system of measurements to be made separable from other detectors. The FOV is divided into smaller areas based on the support of each detector, allowing for tractable high throughput reconstructions. Cross-talk is considered in the sensor modeling that corrects for the noise in the boundaries of the image patches. Based on our previous work, we apply optimal codes subject to device constraints and give favorable results.
Temporal profiling with ultra-deep RRBS sequencing reveals the relative rarity of stably maintained methylated CpG sites in human cells

ARPE-19 cells, SW1353 cells and Jurkat cells were purchased from the Cell Bank (Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China). ARPE-19 and SW1353 cells were cultured with DMEM/F-12 medium (Biological Industries, Biet Haemek, Israel), and Jurkat was cultured with RPMI 1640 medium (Biological Industries), both containing 10% fetal bovine serum (Gibco BRL/Invitrogen, Carlsbad, USA), 100 μg/ml streptomycin, and 100 IU/ml penicillin, and incubated at 37oC and 5% CO2. After 48 h during which the cells roughly doubled in number, half of the cells were collected and their DNA was extracted, while the remaining cells continued to culture. Following DNA replication in S phase, it is well known that there is a time delay before DNA methylation of the newly synthesized DNA, resulting in a significantly lower level of genomic DNA methylation in the S phase compared with other phases (G1/G0 and G2/M) [1]. Thus, to avoid methylation heterogeneity caused by some cells in S phase, we cultured cells to the 20 and 30 generations, and then conducted serum starvation for 24 h to synchronize the cells to the G0 phase before collecting the cells. The ARPE-19 and SW1353 cells were then desorbed from the culture dish by digestions with 0.25% Trypsin-EDTA (the Jurkat cells are suspended cells) (Thermo Scientific, Waltham, USA) and collected for DNA extraction.
Professional Development for Teachers of probability and Statistics: Into an Era of Technology

The focus of this paper is the professional development of teachers of probability and statistics at school level. Within a world where the statistics curriculum is changing at school level, the professional development needs of teachers of statistics are changing and the technology to meet these needs is changing as well. This paper reviews the work in the field, describes the development of a multimedia package for professional development of statistics teachers and looks to the futrue.
NONPARAMETRIC METHODS FOR THE CHARACTERISTICS MODEL

Characteristics models have been found to be useful in many areas of economics. However, their empirical implementation tends to rely heavily on functional form assumptions. In this paper we develop a revealed preference-based nonparametric approach to characteristics models. We derive the minimal necessary and sufficient empirical conditions under which data on the market behaviour of individual, heterogeneous, pricetaking consumers are nonparametrically consistent with the consumer characteristics model. Where these conditions hold, we show how information may be recovered on individual consumer’s marginal valuations of product attributes. In some cases marginal valuations are point identified and in other cases we can only recover bounds. Where the conditions fail we highlight the role which the introduction of unobserved product attributes can play in rationalising the data. We implement these ideas using consumer panel data on the Danish milk market.
Real-Life Outcomes of a Multicomponent Exercise Intervention in Community-Dwelling Frail Older Adults and Its Association with Nutritional-Related Factors

Most of the studies on physical exercise in older adults have been conducted through randomized clinical trials performed under tight experimental conditions. Data regarding Real-Life physical exercise intervention programs in older adults with different conditions and in different settings, are lacking. This is an interventional, prospective and pragmatic Real-Life study in which fifty sedentary and frail individuals were enrolled. We aimed at determining if a Real-Life exercise intervention outweighs previously reported improvements in a Clinical Trial (NCT02331459). We found higher improvements in the Real-Life exercise intervention vs. the Clinical Trial in functional parameters, such as Fried’s frailty criteria, Tinetti, Barthel and Lawton & Brody scales. Similar results were found in the dietary habits, emotional and social networking outcomes determined through the Short-MNA, Yesavage, EuroQol and Duke scales. The Real-Life intervention led to a significant reduction in the number of falls, visits to the primary care centers and emergency visits when compared to the results of our previously published Clinical Trial. The implementation of a Real-Life exercise intervention is feasible and should be a major priority to improve health-span in the older population.
The COVID-19 Sentiment and Office Markets: Evidence from China

This study examines the impact of COVID-19 sentiment on office building rents and vacancy rates in China with a COVID-19 sentiment index constructed based on Baidu search queries on COVID-19-related keywords. We analyzed the data of office buildings and economic data from 2013 Q3 to 2022 Q2 in seven major Chinese cities with a two-stage Error Correction Model framework. We found that a heightened level of COVID-19 sentiment significantly and adversely affects the Chinese office buildings market. Specifically, office building rents decrease more than 8% if a city is exposed to an increase of one unit of COVID-19 sentiment for an entire quarter. The interaction terms model further reveals that the COVID-19 sentiment has a more substantial impact on office building rents where office vacancy is higher, reflecting an asymmetric effect. The findings here support the fear sentiment hypothesis. The findings suggest that a heightened level of investors’ COVID-19 sentiment resulted in a deterioration of office rents, reinforcing the role of investors’ sentiment in the pricing of office buildings. The findings suggest that investors should consider investor sentiment, particularly COVID-19 sentiment, in their decision-making.
Genome-wide identification and characterization of NHL gene family in response to alkaline stress, ABA and MEJA treatments in wild soybean (Glycine soja)

Background NDR1/HIN1-like (NHL) family genes are known to be involved in pathogen induced plant responses to biotic stress. Even though the NHL family genes have been identified and characterized in plant defense responses in some plants, the roles of these genes associated with the plant abiotic stress tolerance in wild soybean is not fully established yet, especially in response to alkaline stress. Methods We identified the potential NHL family genes by using the Hidden Markov model and wild soybean genome. The maximum-likelihood phylogenetic tree and conserved motifs were generated by using the MEME online server and MEGA 7.0 software, respectively. Furthermore, the syntenic analysis was generated with Circos-0.69. Then we used the PlantCARE online software to predict and analyze the regulatory cis-acting elements in promoter regions. Hierarchical clustering trees was generated using TM4: MeV4.9 software. Additionally, the expression levels of NHL family genes under alkaline stress, ABA and MEJA treatment were identified by qRT-PCR. Results In this study, we identified 59 potential NHL family genes in wild soybean. We identified that wild soybean NHL family genes could be mainly classified into five groups as well as exist with conserved motifs. Syntenic analysis of NHL family genes revealed genes location on 18 chromosomes and presence of 65 pairs of duplication genes. Moreover, NHL family genes consisted of a variety of putative hormone-related and abiotic stress responsive elements, where numbers of methyl jasmonate (MeJA) and abscisic acid (ABA) responsive elements were significantly larger than other elements. We confirmed the regulatory roles of NHL family genes in response to alkaline stress, ABA and MEJA treatment. In conclusion, we identified and provided valuable information on the wild soybean NHL family genes, and established a foundation to further explore the potential roles of NHL family genes in crosstalk with MeJA or ABA signal transduction mechanisms under alkaline stress.
Conditioning in Markov Chain Monte Carlo

Abstract The so-called “Rao-Blackwellized” estimators proposed by Gelfand and Smith do not always reduce variance in Markov chain Monte Carlo when the dependence in the Markov chain is taken into account. An illustrative example is given, and a theorem characterizing the necessary and sufficient condition for such an estimator to always reduce variance is proved.
Performance research of real-time kinematic/5G combined positioning model

The global navigation satellite system provides real-time and all-weather positioning with high accuracy. Under a good observational environment, short-baseline real-time kinematic (RTK) can provide centimeter-level positioning results. However, RTK without model correction of ionospheric delay can significantly reduce the positioning accuracy, and cannot achieve fast and high-precision positioning when the baseline is too long or heavily occluded. Therefore, we propose a combined RTK/fifth-generation (5G) mobile communication technology positioning model by combining global positioning system-RTK with 5G time-of-arrival observations to improve the positioning accuracy under medium and long baselines. Experimental validation and analysis were conducted based on the measured data of different baseline lengths. The results revealed that the combined RTK/5G positioning model markedly improved the positioning performance in both static and dynamic modes under medium- and long-distance baselines. In particular, the RTK/5G model can also achieve good positioning results in conditions where some satellites are occluded. The combined RTK/5G positioning model is important for achieving high-accuracy, real-time, and continuous positioning in complex environments.
Ultraviolet-infrared femtosecond laser-induced damage in fused silica and CaF2 crystals

The damage in fused silica and CaF2 crystals induced by wavelength tunable femtosecond lasers is studied. The threshold fluence is observed to increase rapidly with laser wavelength lambda in the region of 250-800 nm, while it is nearly a constant for 800 <lambda < 2000 nm. The ultrafast electronic excitation is also studied by a pump and probe method. The reflectivity increases rapidly in the latter half of pump pulse, which supports that impact ionization plays an important role in the generation of conduction band electrons (CBEs). We study the CBEs absorption via subconduction-band (sub-CB) transition, and develop a coupled avalanche model. Our results indicate that the CBEs absorption via sub-CB transition plays an important role in the damage in dielectrics irradiated by the visible and near ultraviolet femtosecond lasers. Our theory explains well the experiments.
ASSESSING THE 14C MARINE RESERVOIR EFFECT IN ARCHAEOLOGICAL CONTEXTS: DATA FROM THE CABEÇUDA SHELL MOUND IN SOUTHERN BRAZIL

ABSTRACT Prehistoric shell mounds can be useful for the quantification of the radiocarbon marine reservoir effect (MRE) and, at the same time, knowledge about the MRE allows for the establishment of robust chronologies for these sites. This creates a loop in which the archaeological setting has a dual role: it is part of both the method and the application. Therefore, it is paramount to address these sites from both archaeological and environmental perspectives, investigating their origin and diagenesis in order to overcome biases caused by post-depositional alterations. In this study, samples of bone, charcoal and shell from a Late Holocene shell mound in Southern Brazil, the Sambaqui de Cabeçuda, were analyzed following a multidisciplinary approach to disentangle the complex relationships between archaeology and the environment. We performed X-ray diffraction, radiocarbon dating, stable isotopes (δ13C, δ18O, δ15N) and anthracology analyses as well as Bayesian Chronological Models and Isotope Mixing Models to assess the local MRE and to reconstruct the diet of Cabeçuda builders. Our results reveal a negative local correction for the MRE (ΔR = –263 ± 46 14C yr), expected for the lagoon next to the site, and diets with considerable intakes of marine proteins. We examine the implications of these results for the chronology of the site and discuss a series of complications when performing MRE studies using shell mound sites.
Rickettsial Agents Associated with Ectoparasites in Attica, Greece

The bacteria of the families Rickettsiaceae and Anaplasmataceae, harbored by arthropod vectors, may cause disease in animals and humans. The aim of this study was to screen ectoparasites collected from cats and dogs in Attica, Greece for the bacteria of the Rickettsiales group, by molecular methods. The ectoparasites examined were Ctenocephalides felis fleas and Rhipicephalus sanguineus s.l. , Rhipicephalus sp. , and Ixodes sp. ticks. Rickettsia felis was detected in 4.8% of C. felis fleas, and Rickettsia conorii was detected in 7.3% of R. sanguineus s.l. ticks. Ehrlichia canis was found in one R. sanguineus s.l. tick, and Wolbachia pipientis was detected in the majority of fleas. Another endosymbiont, Cancidatus Midichloria mitochondrii (Cancidatus Midichloriaceae), was detected in one Ixodes sp. This is the first report of R. conorii and E. canis in R. sanguineus s.l. ticks in this study area. Given the fact that Greece is considered endemic for spotted fever group rickettsioses, further investigation of these rickettsial pathogens’ distribution in their vectors and hosts could enhance our knowledge of their epidemiology, in order to assess their potential implications for public health in this metropolitan area.
Percolation analyses of observed and simulated galaxy clustering

Analyse du regroupement de percolation sur des regions equivalentes au programme d'observations CFA (Davies et coll., 1983) des deplacements vers le rouge des galaxies et aux simulations a 4000 corps de Aarseth et coll. (1979). Les resultats montrent que les donnees tridimensionnelles sont compatibles avec le degre de structure filamentaire present dans les modeles isothermes de formation des galaxies au niveau de l'analyse de percolation