Miracle-dz/UniFAR-FTUs huggingface dataset:
Two Iron Age Alphabetic Inscriptions from Tell eṣ-Ṣâfi/Gath, Israel

This paper presents two brief alphabetic inscriptions from Area D in the lower city of Tell eṣ-Ṣâfi/Gath, both deriving from Iron Age IIA contexts. The first is written in an Early Alphabetic script similar to an inscription previously published from the site (Maeir et al. 2008) and is interpreted as being related to the storage of wine. The second, written in later, “formalized” alphabetic script, is quite fragmentary and difficult to decipher, for which several possible interpretations are suggested. These two new inscriptions join the relatively large number of alphabetic inscriptions from Tell eṣ-Ṣâfi/Gath, second only in number to contemporaneous Tel Rehov, and provide additional evidence to the outstanding role of the site during the early Iron Age.
Dysarthria Speech Detection Using Convolutional Neural Networks with Gated Recurrent Unit

In recent years, due to the rise in the population and aging, the prevalence of neurological diseases is also increasing year by year. Among these patients with Parkinson’s disease, stroke, cerebral palsy, and other neurological symptoms, dysarthria often appears. If these dysarthria patients are not quickly detected and treated, it is easy to cause difficulties in disease course management. When the symptoms worsen, they can also affect the patient’s psychology and physiology. Most of the past studies on dysarthria detection used machine learning or deep learning models as classification models. This study proposes an integrated CNN-GRU model with convolutional neural networks and gated recurrent units to detect dysarthria. The experimental results show that the CNN-GRU model proposed in this study has the highest accuracy of 98.38%, which is superior to other research models.
Development of Two-Layer Hybrid Scaffolds Based on Oxidized Polyvinyl Alcohol and Bioactivated Chitosan Sponges for Tissue Engineering Purposes

Oxidized polyvinyl alcohol (OxPVA) is a new polymer for the fabrication of nerve conduits (NCs). Looking for OxPVA device optimization and coupling it with a natural sheath may boost bioactivity. Thus, OxPVA/chitosan sponges (ChS) as hybrid scaffolds were investigated to predict in the vivo behaviour of two-layered NCs. To encourage interaction with cells, ChS were functionalized with the self-assembling-peptide (SAP) EAK, without/with the laminin-derived sequences -IKVAV/-YIGSR. Thus, ChS and the hybrid scaffolds were characterized for mechanical properties, ultrastructure (Scanning Electron Microscopy, SEM), bioactivity, and biocompatibility. Regarding mechanical analysis, the peptide-free ChS showed the highest values of compressive modulus and maximum stress. However, among +EAK groups, ChS+EAK showed a significantly higher maximum stress than that found for ChS+EAK-IKVAV and ChS+EAK-YIGSR. Considering ultrastructure, microporous interconnections were tighter in both the OxPVA/ChS and +EAK groups than in the others; all the scaffolds induced SH-SY5Y cells’ adhesion/proliferation, with significant differences from day 7 and a higher total cell number for OxPVA/ChS+EAK scaffolds, in accordance with SEM. The scaffolds elicited only a slight inflammation after 14 days of subcutaneous implantation in Balb/c mice, proving biocompatibility. ChS porosity, EAK 3D features and neuro-friendly attitude (shared with IKVAV/YIGSR motifs) may confer to OxPVA certain bioactivity, laying the basis for future appealing NCs.
Hypoxia and ERα Transcriptional Crosstalk Is Associated with Endocrine Resistance in Breast Cancer

Simple Summary Hormone receptor positive breast cancer patients are treated with anti-hormone molecules as a standard of care. However, resistance frequently occurs, leading to hormone resistant metastatic relapses in foreign organs. Understanding the molecular mechanisms through which breast cancer cells evade therapeutic pressure is of paramount interest. Hypoxia, which refers to oxygen deprivation and is characterized by the activation of hypoxia inducible factors, is a common feature of the solid tumor microenvironment, yet its influence on estrogen receptor alpha activity remains elusive. Here, we investigate the consequence of hypoxia and the signaling of hypoxia inducible factors on hormone responsiveness in breast cancer cells and its clinical implications. Abstract Estrogen receptor-alpha (ERα) is the driving transcription factor in 70% of breast cancers and its activity is associated with hormone dependent tumor cell proliferation and survival. Given the recurrence of hormone resistant relapses, understanding the etiological factors fueling resistance is of major clinical interest. Hypoxia, a frequent feature of the solid tumor microenvironment, has been described to promote endocrine resistance by triggering ERα down-regulation in both in vitro and in vivo models. Yet, the consequences of hypoxia on ERα genomic activity remain largely elusive. In the present study, transcriptomic analysis shows that hypoxia regulates a fraction of ERα target genes, underlying an important regulatory overlap between hypoxic and estrogenic signaling. This gene expression reprogramming is associated with a massive reorganization of ERα cistrome, highlighted by a massive loss of ERα binding sites. Profiling of enhancer acetylation revealed a hormone independent enhancer activation at the vicinity of genes harboring hypoxia inducible factor (HIFα) binding sites, the major transcription factors governing hypoxic adaptation. This activation counterbalances the loss of ERα and sustains hormone-independent gene expression. We describe hypoxia in luminal ERα (+) breast cancer as a key factor interfering with endocrine therapies, associated with poor clinical prognosis in breast cancer patients.
THE PROPAGATION OF UNCERTAINTIES IN STELLAR POPULATION SYNTHESIS MODELING. III. MODEL CALIBRATION, COMPARISON, AND EVALUATION

Stellar population synthesis (SPS) provides the link between the stellar and dust content of galaxies and their observed spectral energy distributions. In the present work, we perform a comprehensive calibration of our own flexible SPS (FSPS) model against a suite of data. These data include ultraviolet, optical, and near-IR photometry, surface brightness fluctuations, and integrated spectra of star clusters in the Magellanic Clouds (MCs), M87, M31, and the Milky Way (MW), and photometry and spectral indices of both quiescent and post-starburst galaxies at z ∼ 0. Several public SPS models are intercompared, including the models of Bruzual & Charlot (BC03), Maraston (M05), and FSPS. The relative strengths and weaknesses of these models are evaluated, with the following conclusions: (1) the FSPS and BC03 models compare favorably with MC data at all ages, whereas M05 colors are too red and the age dependence is incorrect; (2) all models yield similar optical and near-IR colors for old metal-poor systems, and yet they all provide poor fits to the integrated J − K and V − K colors of both MW and M31 star clusters; (3) FSPS is able to fit all of the ultraviolet data because both the post-asymptotic giant branch (post-AGB) and horizontal branch evolutionary phases are handled flexibly, while the BC03 and M05 models fail in the far-UV, and both far- and near-UV, respectively; (4) all models predict ugr colors too red, Dn4000 strengths too strong, and HδA strengths too weak compared to massive red sequence galaxies, under the assumption that such galaxies are composed solely of old metal-rich stars; and (5) FSPS and, to a lesser extent, BC03 can reproduce the optical and near-IR colors of post-starburst galaxies, while M05 cannot. Reasons for these discrepancies are explored. The failure at predicting the ugr colors, Dn4000, and HδA strengths can be explained by some combination of a minority population of metal-poor stars, young stars, blue straggler and/or blue horizontal branch (HB) stars, but not by appealing to inadequacies in either theoretical stellar atmospheres or canonical evolutionary phases (e.g., the main-sequence turnoff). The different model predictions in the near-IR for intermediate age systems are due to different treatments of the thermally pulsating asymptotic giant branch stellar evolutionary phase. We emphasize that due to a lack of calibrating star cluster data in regions of the metallicity–age plane relevant for galaxies, all of these models continue to suffer from serious uncertainties that are difficult to quantify.
Effect of total mixed ration (TM R) briquettes on milk yield, composition and sensory properties of cow milk

The current study aimed to assess the effect of feeding total mix ration (TMR) briquettes on milk composition, yield and sensory attributes. Jersey × Sahiwal crossbred cows (Nine) were randomly assigned to three treatments (CTL: guinea grass with commercial feed, TMR1 and TMR2: TMR briquettes) in a 3 × 3 replicated Latin square design. Daily milk yield was recorded and milk composition was measured at three days intervals. At the end of each period, fatty acid composition, calcium, phosphorus and sensory properties of milk were analysed. Milk yield trended to be higher in cows fed with TMR briquettes and milk fat content was similar among the treatments. There was no significant difference in milk fatty acid profile among the treatments; however, lauric acid (C12:0) concentration was significantly higher in milk obtained from the cows fed with TMR1 briquettes. Milk calcium and phosphorus contents did not show any significant difference. All the sensory attributes were significantly higher in milk tested from cows fed with TMR1. The present study revealed that feeding TMR1 briquette could be one of the strategies to overcome the inconsistent milk yield reported during the forage scare periods without affecting the milk composition, and fatty acid composition with better sensory attributes.
Product platform configuration decision in NPD with uncertain demands and module options

ABSTRACT Platform-based product development is a cost-efficient approach to satisfy wide range of customer preferences. One important problem is the product platform configuration, in which two types of platform configuration are widely used, either module selection or module integration. The platform configuration based on module selection provides a broader solution space of platform selection, while module integration facilitates product platform commonality to gain economic benefits. Up to date, most research focused on the platform configuration based on module selection with a given module set. In this paper, we propose a new model to determine the optimal platform configuration for an external product family, considering both module selection and integration. The demand for the external product family is uncertain and assumed to follow normal distribution. A hybrid methodology combining simulated annealing and variable neighbourhood search is proposed. A numerical examination is carried out for the purpose of evaluation. The results show that the proposed model can provide a practically good solution. Main contributions of this research are two folds, one is the balance point between module selection and module integration in the platform configuration and the other is that we take into account the operation cost of module acquisition to the platform configuration problem.
The redshift distribution of the X-ray background

Context. The X-ray background (XRB) is produced by a large number of faint sources distributed over a wide range of redshifts. The XRB carries information on the spatial distribution and evolution of these sources. Aims. The goals are 1. to determine the redshift distribution of the soft X-ray background photons produced by all types of extragalactic sources, in order to relate fluctuations of the background to the large scale structures; 2. to determine the redshift distribution of the soft XRB produced by AGN in order to calculate the evolution of the AGN X-ray luminosity density. Methods. A set of major X-ray surveys was used to determine the redshift distributions of the X-ray sources selected at various flux levels. Simple analytic fits to the data allow us to determine the smooth relationship between the redshift distribution and the source flux. The redshift distribution of the integral XRB flux was obtained by averaging the fits over the source counts. Results. It is shown that the distribution of extragalactic XRB photons in the 0.5−2 keV band is adequately represented by the function: dnXRB/ dl ogz = 5.24z 1.52 exp(−z/0.63). The huge voids postulated to explain the cold spots in the CMB maps create dips in the total XRB flux. However, the expected magnitude of the effect is comparable to the fluctuation amplitude of the XRB generated by the individual sources contributing to the background. The cosmic evolution of the AGN X-ray luminosity density up to a redshift of ∼5 is calculated in an elegant and straightforward way. Systematic uncertainties of the present method are assessed and shown to be small. At a redshift greater than one the present results could be compared directly with some recent estimates obtained in a standard way and the agreement between both methods is very good.
The general relativistic Poynting–Robertson effect: II. A photon flux with nonzero angular momentum

We study the motion of a test particle in a stationary, axially and reflection-symmetric spacetime of a central compact object, as affected by interaction with a test radiation field of the same symmetries. Considering the radiation flux with fixed but arbitrary (nonzero) angular momentum, we extend previous results limited to an equatorial plane motion within a zero angular-momentum photon flux in the Kerr and Schwarzschild backgrounds. While a unique equilibrium circular orbit exists if the photon flux has zero angular momentum, multiples of such orbits appear if the photon angular momentum is sufficiently high.
Prenatal Developmental Toxicity and Histopathological Changes of the Placenta Induced by Syzygium guineense Leaf Extract in Rats

Many of the traditional herbal products are served to the consumer without proper efficacy and safety investigations. A laboratory-based experimental study was employed to investigate the toxic effects of Syzygium guineense leaf extract on the fetal development and histopathology of the placenta in rats. Fifty pregnant Wistar albino rats were randomly allocated into five groups, each consisting of 10 rats. S. guineense leaf extract, at doses of 250, 500, and 1000 mg/kg of body weight, was respectively administered to groups I-III rats. Groups four and five were control and ad libitum control, respectively. The number of resorptions, implantation sites, and live or dead fetuses was counted. The weight and crown-rump length of the fetuses were measured. The histopathological investigation of the placenta was conducted. Administration of 70% ethanol extract of S. guineense leaves reduced weight gain and food intake of pregnant rats at p value <0.05. The crown-rump length of the near-term rat fetus was significantly reduced in rats treated with 1000 mg/kg body weight of S. guineense extract (p value <0.05). The plant extract did not affect the number of implantations, fetal resorptions, live births, and stillbirths. The weight of the fetuses and the placentae also decreased dose-dependently. Decidual cystic degeneration was the most prevalent histopathological change observed in a rat's placenta treated with 1000 mg/kg body weight of S. guineense extract. Consumption of S. guineense leaves, especially at a high dose, may affect fetal development. Therefore, liberal use of S. guineense leaves during pregnancy should be avoided.
A Study of Chinese Consumers’ Consistent Use of Mobile Food Ordering Apps

Mobile Food Ordering Apps (MFOAs) programs have changed the way consumers order and consume food. Mobile Food Ordering Apps (MFOAs) are widely recognized in the restaurant industry as an innovative method of serving customers; however, there are important questions about the impact of implementing MFOAs on customers’ willingness to reuse such applications, and several studies have examined the results of using MFOAs from a customer perspective. The main objective of this study was to identify and empirically test the main factors that predict Chinese users’ attitudes toward MFOAs, the satisfaction and re-use of such applications, and the moderating role of habits. This study proposes an integrated model based on the Technology Acceptance Model (TAM) and the Expectation Confirmation Theory (ECT), combined with the features of MFOA-added variables such as online reviews, price value and trust. A total of 212 valid questionnaires were obtained and collected from a sample of Chinese customers using MFOAs. This study uses SPSS 26.0 and smartPLS version 3.0 for a path analysis and empirical testing of the research model. There are 13 hypotheses, 6 of which are valid. H2(PE → SAT), H3(OR → SAT), H5(EOU → ATT), H6(PV → ATT), H7(TR → ATT), and H9(SAT → CI) are valid. However, H1(CON →SAT), H4(USF → ATT), H8(TR → CI), H10(ATT → CI) are not valid, and HAB does not play a moderating role between CI and SAT, CI and ATT, and CI and TR. Based on the research results, theoretical contributions and practical implications can be provided for scholars and practitioners in MFOA-related fields.
The Effects of Online Social Interactions on Life Satisfaction of Older Chinese Adults: New Insights Based on a Longitudinal Approach

Population aging and digitalization have become universal phenomena. Over the past two decades, digital inclusion has started to play a crucial role in supporting successful aging. Based on a nationally representative sample of around 5200 older adults in China over the period of 2014–2018, we explore the effects of online social interactions (OSIs) on the life satisfaction of older adults. We find that OSIs can improve the levels of life satisfaction of older Chinese adults. Estimates from fixed effect and cross-lagged structural equation models further suggest that OSIs work by increasing physical activities, healthy time allocation, interpersonal trust, and informal social engagement and reducing loneliness. We also find that OSIs narrow the social inequality in life satisfaction across groups from rural–urban areas and groups with different social statuses. Moreover, a comparison among different online engagements shows that not all online activities positively affect older adults’ life satisfaction. Different online activities have varying effects. Our results highlight that public digital interventions focusing on social functions can benefit the lives of older adults.
Scientific Value of the Sub-Cohort of Children in the World Trade Center Health Registry

The World Trade Center Health Registry (WTCHR) was established in 2002 as a public health resource to monitor the health effects from the World Trade Center (WTC) disaster. We evaluated the representativeness of the WTC youth population (<18 years on 11 September 2001) by comparing the distributions of age, gender, race/ethnic groups, and income to 2000 census data for the matched geographic area, including distance from disaster. There were 2379 WTCHR enrolled children living in Lower Manhattan south of Canal Street on 11 September 2001, along with 752 enrolled students who attended school in Lower Manhattan but were not area residents. The WTCHR sub-group of children who were residents was similar to the geographically corresponding census population on age and sex. Black and Hispanic children are moderately overrepresented at 0.9% and 2.4% in the WTCHR compared to 0.8% and 1.7% in census population, respectively, while lower-income households are slightly under-represented, 28.8% in the WTCHR and 30.8% for the corresponding census information. Asian children appear underrepresented at 3.0% participation compared to 6.3% in the census. While the demographics of WTCHR youth are somewhat skewed, the gaps are within expected patterns of under-representation observed in other longitudinal cohorts and can be effectively addressed analytically or through targeted study design.
THREE-DIMENSIONAL STELLAR KINEMATICS AT THE GALACTIC CENTER: MEASURING THE NUCLEAR STAR CLUSTER SPATIAL DENSITY PROFILE, BLACK HOLE MASS, AND DISTANCE

We present three-dimensional (3D) kinematic observations of stars within the central 0.5 pc of the Milky Way (MW) nuclear star cluster (NSC) using adaptive optics imaging and spectroscopy from the Keck telescopes. Recent observations have shown that the cluster has a shallower surface density profile than expected for a dynamically relaxed cusp, leading to important implications for its formation and evolution. However, the true 3D profile of the cluster is unknown due to the difficulty in de-projecting the stellar number counts. Here, we use spherical Jeans modeling of individual proper motions and radial velocities to constrain, for the first time, the de-projected spatial density profile, cluster velocity anisotropy, black hole mass (MBH), and distance to the Galactic center (R0) simultaneously. We find that the inner stellar density profile of the late-type stars, ρ(r)∝r−γ, have a power law slope , much more shallow than the frequently assumed Bahcall–Wolf slope of γ = 7/4. The measured slope will significantly affect dynamical predictions involving the cluster, such as the dynamical friction time scale. The cluster core must be larger than 0.5 pc, which disfavors some scenarios for its origin. Our measurement of M☉ and kpc is consistent with that derived from stellar orbits within 1″ of Sgr A*. When combined with the orbit of S0-2, the uncertainty on R0 is reduced by 30% . We suggest that the MW NSC can be used in the future in combination with stellar orbits to significantly improve constraints on R0.
Butyrate Mitigates Lipopolysaccharide-Induced Intestinal Morphological Changes in Weanling Piglets by Regulating the Microbiota and Energy Metabolism, and Alleviating Inflammation and Apoptosis

Butyrate provides energy for colonocytes and is a functional metabolite that mitigates weanling piglet stress. However, its effects and mechanisms remain largely unknown. We established a lipopolysaccharide (LPS)-induced inflammatory stress piglet model to examine how butyrate mechanisms impacted piglet intestinal histology, microbiota, and inflammation. We randomly assigned 18 crossbred male piglets to three treatment groups: CON, LPS, and BT-LPS. Coated butyrate was supplemented in the BT-LPS feed for 21 days. On days 19 and 21, piglets in LPS and BT-LPS groups were challenged with LPS at 100 μg/kg body weight. Dietary butyrate improved LPS-injured intestinal histology by significantly increasing jejunal and ileal villus height, villus height to crypt depth ratios, and decreasing histological scores. LPS challenge activated hypoxia-inducible factor 1α and nuclear factor-κB, and enhanced interleukins (IL-1β, IL-6, IL-12), tumor necrosis factor-α, and also downstream inducible nitric oxide synthase and cyclooxygenase 2, but decreased anti-inflammatory cytokines (IL-10, IL-13). Most molecule levels were significantly reversed by butyrate administration. When compared with the CON or LPS groups, the BT-LPS group had a higher relative abundance of jejunal Firmicutes, Bacteroidetes, Clostridiaceae, Lactobacillus, and Prevotella but a lower abundance of Proteobacteria, Enterobacteriaceae, and Escherichia–Shigella. Phylogenetic investigation of communities by reconstruction of unobserved states and correlation analyses suggested these bacteria contributed to butyrate-alleviating jejunal inflammation and infectious diseases. Butyrate-based diets significantly reduced apoptosis via mitochondrial pathways by downregulating apoptotic caspase 3 mRNA levels. Diets also altered enterocyte metabolism in the jejunum by upregulating peroxisome-proliferator-activated receptor α expression but downregulating carnitine palmitoyltransferase 1 level when compared with CON or LPS groups. Butyrate supplementation improved immunity homeostasis, generated beneficial shifts in microbial communities, improved enterocyte energy metabolism, and prevented apoptosis to protect intestinal histology from LPS-induced injury.