Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Cardiorespiratory Fitness of Chinese Tibetan Adolescents with Their Han Counterparts: A Cross-Sectional Retrospective Study

Cardiorespiratory fitness (CRF) is a core element of healthy physical fitness. Foreign attention to CRF in adolescents at different altitudes is high, while less research has been conducted on Chinese adolescents. In order to compare the CRF of Chinese Tibetan adolescents with their Han counterparts born and raised at high altitude and Chinese Han adolescents at sea level. A total of 2748 participants, including Chinese Tibetan adolescents, Chinese Han adolescents born and raised at high altitudes, and Chinese Han adolescents at sea level aged 12–18 years old, were obtained using convenience sampling and random cluster sampling. The method of the 20 m shuttle run test (20 m SRT) test was used to derive VO2max by equation. One-way ANOVA and LSD methods were conducted, and effect sizes were calculated to compare the CRF of the three types of adolescents. Regression analysis was used to analyze the relationship between altitude and VO2max. The VO2max scores of Chinese Tibetan adolescents and Chinese Han adolescents at sea level were higher than Chinese Han adolescents born and raised at high altitudes. For both boys and girls, the VO2max scores of Chinese Tibetan adolescents exceeded Chinese Han adolescents at sea level after the age of 16 years old. Regression analysis showed that altitude was inversely associated with VO2max. The pace of lung growth may distinguish Chinese Tibetan adolescents from Chinese Han adolescents born and raised at high altitudes. The results of the study suggest that we should focus on the changes in CRF in adolescents at different altitudes and should adopt different CRF interventions for adolescents at different altitudes.
BULK METALLIC GLASS GASKET FOR HIGH PRESSURE, IN SITU X-RAY DIFFRACTION

Amorphous metallic alloys lack long-range atomic order and consequently exhibit excellent homogeneity, no microstructure discontinuities, and no sharp x-ray diffraction peaks. Moreover they have higher tensile fracture strength and hardness than those of traditional crystalline metals. These excellent physical properties make bulk metallic glasses good candidates for high pressure gaskets for in situ x-ray/neutron diffraction experiments. We tested the Pd40Ni40P20 amorphous alloy as a gasket material in three experiments. The behavior of the Pd40Ni40P20 amorphous alloy under a hydrostatic/nonhydrostatic pressure of over 100 GPa was investigated by in situ synchrotron x-ray diffraction. The pressure gradient of the amorphous metallic gasket in the diamond anvil cell was measured on the ruby fluorescence scale during compression and decompression. The results show that bulk metallic glasses are good high-pressure gasket materials for in situ x-ray diffraction experiments.
Impact of universal mobility law on polycrystalline organic thin-film transistors

We have developed novel analytical models for polycrystalline organic thin-film transistor (OTFT) by employing new concepts on the charge carrier injection to polysilicon thin-films. The models, also incorporate the effect of contact resistance associated with the poor ohmic nature of the contacts. The drain current equations of the OTFT, both in the quasi-diffusion and quasi-drift regimes, predict temperature dependencies on essential material and device parameters. Interestingly, under the drift regime, the polycrystalline OTFT model reveals similar power dependencies on the applied voltages, to those of purely disordered model developed by utilizing the universal mobility law (UML). Such similarities are not thought to be coincidental since the effect of gate voltage on surface potential is influenced by the Fermi level pinning in the grain boundary. Nonetheless, the best fits on the data of 6,13-bis(tri-isopropylsilylethynyl) OTFTs are attained with the proposed polycrystalline rather than the disorde.
Study of electromagnetic microinstabilities in helical systems with the stellarator expansion method

Electromagnetic microinstabilities in helical systems are studied by numerically solving integral eigenmode equations, which are derived from the ion gyrokinetic equation, the quasineutrality equation, the Ampere’s law, and the massless electron approximation. The stellarator expansion technique is used to evaluate finite-beta effects on the guiding-center drift in the helical configuration, where the toroidal plasma shift and the magnetic shear strongly influence the magnetic curvature and accordingly the stability of both magnetohydrodynamics (MHD) and kinetic modes. The kinetic integral equations are shown to reduce to the ideal MHD ballooning mode equation in the fluid limit, from which the Mercier criterion is obtained. For helical geometry like the Large Helical Device (LHD) [Motojima, et al., Nucl. Fusion 43, 1674 (2003)], it is confirmed that, when increasing the beta value, the ion temperature gradient mode is stabilized while the kinetic ballooning mode (KBM) is destabilized due to the unfavorab.
Optimal Influencer Marketing Campaign Under Budget Constraints Using Frank-Wolfe

Influencer marketing has become a thriving industry with a global market value expected to reach 15 billion dollars by 2022. The advertising problem that such agencies face is the following: given a monetary budget find a set of appropriate influencers that can create and publish posts of various types (e.g. text, image, video) for the promotion of a target product. The campaign's objective is to maximize across one or multiple online social platforms some impact metric of interest, e.g. number of impressions, sales (ROI), or audience reach. In this work, we present an original continuous formulation of the budgeted influencer marketing problem as a convex program. We further propose an efficient iterative algorithm based on the Frank-Wolfe method, that converges to the global optimum and has low computational complexity. We also suggest a simpler near-optimal rule of thumb, which can perform well in many practical scenarios. We test our algorithm and the heuristic against several alternatives from the optimization literature as well as standard seed selection methods and validate the superior performance of Frank-Wolfe in execution time and memory, as well as its capability to scale well for problems with very large number (millions) of social users.
Raman scattering intensities in α-quartz: A first-principles investigation

Using a first-principles density functional approach, we calculate the first-order Raman intensities of alpha -quartz. The dynamical charge tensors, vibrational frequencies and eigenmodes, and polarizability tensors are obtained within a perturbational approach. We calculate Raman intensities by evaluating the variation of the polarizability tensors for finite displacements of the atoms. Calculated intensities agree well with experimental data, showing an average error of 13% for relative intensities. Using our first-principles results as reference, we critically examine simple models for the Raman activity. We first consider a bond polarizability model, for which the parameters are derived from our first-principles results for alpha -quartz. This model reproduces the first-principles intensities with an average error of 15%. In the attempt of reducing this error, we then introduce a model in which the symmetry of the first neighbor shell is accounted for in the most general way. For alpha -quartz, this model extends the bond polarizability model, which is recovered as a special case. The model, which fully accounts for the local symmetry, describes the first-principles results within an average error of 12%, marginally improving upon the bond polarizability model (15%). However, when these models with parameters derived for alpha -quartz are applied to a cristobalite polymorph, only the bond polarizability model shows good transferability properties. These results support the use of the bond polarizability model as a simple scheme for calculating Raman intensities in tetrahedrally bonded SiO2 systems.
Vitamin D Metabolic Pathway Components in Orthopedic Patientes—Systematic Review

Vitamin D takes part in the functioning of many processes that ensure the homeostasis of the body. In orthopedics, it is indicated as an inseparable element ensuring proper bone growth and functioning, and its deficiencies are indicated in various diseases, mainly in the proper structure and function of the skeleton. In this review, we focus on the most important components of the vitamin D metabolic pathway, in correlation with selected orthopedic conditions. Records were obtained from the PubMed database in a timeline of 2010–2022. The keywords were as follows: vitamin D/cholesterol/vitamin D binding protein/ VDBP/Cytochrome/CYP24A1/CYP 27B1/Vitamin D receptor/VDR/ + diseases (ACL reconstruction, rotator cuff, arthroplasty knee/hip/shoulder). The recent original studies were analyzed, discussed, and the most important data were shown. The vast majority of articles concern the metabolite of vitamin D (25(OH)D), which is measured as a standard in diagnostic laboratories. Even though there is a lot of valuable information in the literature, we believe that the other elements of the vitamin D pathway also deserve attention and suggest their research in correlation with orthopedic disorders to supplement the missing knowledge on this topic.
Castor Plant (Ricinus communis L.) Leaf Extract as Potential Antibacterial Against The Growth of Mycobacterium Tuberculosis

Highlight : Patients experiencing failure of first-line drug and developing multidrug resistant tuberculosis (MDR-TB) has increased throughout 2011-2015. Castor plant leaf extract (Ricinus communis L.) has an antibacterial potential against the growth of Mycobacterium tuberculosis bacteria. Abstract: Mycobacterium tuberculosis is the cause of pulmonary tuberculosis that can reduce human health. In the therapy of the disease, patients can develop resistance to tuberculosis drugs. Based on the 2015 health profiles of Indonesia, 15,380 people were suspected to have multidrug-resistant tuberculosis (MDR-TB), while 1,860 people were confirmed patients with MDR-TB. There is a need for innovation to develop the latest treatments using natural ingredients, one of which is castor plant (Ricinus communis L.) that contains antibacterial compounds against Mycobacterium tuberculosis. This study aimed to understand the antimicrobial potential of castor plant (Ricinus communis L.) leaf extract against the growth of Mycobacterium tuberculosis. This scientific paper was a quantitative systematic review study. Literature in the form of journal articles and books were obtained through search engines, i.e. ebook database, Google Scholar, Cochrane, Wiley, and PubMed. The results of the literature source search were 19 journal articles and 4 ebooks, as well as 4 journal articles that were in accordance with the title of this literature review and discussed the effects of castor plants on the growth of Mycobacterium tuberculosis. The results of the analysis showed that castor plant (Ricinus communis L.) leaf extract has the potential in the antibacterial activity against the growth of Mycobacterium tuberculosis because it contains phytochemicals in the form of flavonoids, saponins, alkaloids, tannins, and fatty acid amides derived from ricinoleic acid as the main constituent of castor plants (Ricinus communis L.). There is antimicrobial potential for castor plant (Ricinus communis L.) leaf extract against the growth of Mycobacterium tuberculosis.
Counting the Capital's cats: Estimating drivers of abundance of free-roaming cats with a novel hierarchical model.

Free-roaming cats are a conservation concern in many areas but identifying their impacts and developing mitigation strategies requires a robust understanding of their distribution and density patterns. Urban and residential areas may be especially relevant in this process because free-roaming cats are abundant in these anthropogenic landscapes. Here, we estimate the occupancy and density of free-roaming cats in Washington D.C. and relate these metrics to known landscape and social factors. We conducted an extended camera trap survey of public and private spaces across D.C., and analyzed data collected from 1,483 camera deployments from 2018-2020. We estimated citywide cat distribution by fitting hierarchical occupancy models and further estimated cat abundance using a novel random thinning spatial capture-recapture model that allows for the use of photos that can and cannot be identified to individual. Within this model, we utilized individual covariates that provided identity exclusions between photos of unidentifiable cats with inconsistent coat patterns, thus increasing the precision of abundance estimates. This combined model also allowed for unbiased estimation of density when animals cannot be identified to individual at the same rate as for free-roaming cats whose identifiability depended on their coat characteristics. Cat occupancy and abundance declined with increasing distance from residential areas, an effect that was more pronounced in wealthier neighborhoods. There was noteworthy absence of cats detected in larger public spaces and forests. Realized densities ranged from 0.02-1.75 cats/ha in sampled areas, resulting in a district-wide estimate of ~ 7,296 free-roaming cats. Ninety percent of cat detections lacked collars and nearly 35% of known individuals were ear-tipped, indicative of district Trap-Neuter-Return (TNR) programs. These results suggest that we mainly sampled and estimated the unowned cat subpopulation, such that indoor/outdoor housecats were not well represented. The precise estimation of cat population densities is difficult due to the varied behavior of subpopulations within free-roaming cat populations (housecats, stray and feral cats), but our methods provide a first step in establishing citywide baselines to inform data-driven management plans for free-roaming cats in urban environments. This article is protected by copyright. All rights reserved.
From Minimal Models to Real Proteins: Time Scales for Protein Folding Kinetics

The multipathway mechanism discovered using minimal protein models in conjunction with scaling arguments are used to obtain time scales for the various processes in the folding of real proteins. We consider pathways involving low energy native-like structures as well as direct pathways that proceed via a nucleation mechanism. The average activation barrier separating the low energy structures and the native state is predicted to scale as √N where N is the number of aminoacids in the proteins. In addition estimates of folding times for direct pathways in which collapse and folding are (almost) synchronous are given. It is argued folding sequences whose folding transition temperature is very close to the collapse transition temperature are likely to reach the native conformation rapidly.
Balanced truncation of nonlinear systems with error bounds

This paper considers the problem of balanced model reduction for a class of smooth nonlinear systems. The nonlinear system is approximated by local linearizations model around a continuum of constant operating points. An upper bound on the error of approximation is presented. The obtained linearization model can be considered as a linear time-varying (LTV) system model. Three different problems of balanced truncation for LTV systems are considered and the corresponding upper bound on the error between the full order and reduced order models is shown.
Haematological and biochemical profiling of Ladakhi cow: A native cattle of high altitude Leh-Ladakh, India

Ladakhi cattle is a native breed of cattle which is well adapted to hypobaric-hypoxia and cold-stress conditions prevalent at high altitude. These cattle are the main source of A2 quality milk. However, their utility, health and dairy production managements were not standardised for optimum dairy farm economics. Moreover, the haematological and biochemical parameters have not been investigated in details in adult Ladakhi cows, which is the primary requirement of farm health managements. Thus, the objective of this study was to examine the haematology and biochemical parameters in adult Ladakhi cow to establish baseline reference values. Clinically healthy female Ladakhi cattle (10) were selected from the Ladakhi cattle research section, DIHAR, Leh. The resulted haematological and biochemical parameters were compared with already reported reference values for low lander cattle and high lander native and crossbred cattle. Haematological findings revealed that RBC, Hb, heamatocrit, MCV and WBC were within the reference range, rather MCH and MCHC values were more than the reference range. Biochemical findings revealed that albumin, glucose, creatinine, uric acid, alkaline phosphatase, and aspartate aminotransferase were within the reference range limits of low lander. However, urea, triglycerides, total protein values were higher than the reference range and calcium was less than the reference range. These findings indicated that the native Ladakhi cattle are in healthy condition and metabolically adapted to high altitude stress. Hence, these hemato-biochemical profile could be the good biomarkers to evaluate their health status in high altitude stress condition.
The Effect of Pseudomonas fluorescens and Salicylic Acid, and their Synergistic Effect on Protein, Carbohydrates Content and Leaf Area of Two Varieties of Triticum aestivum L. Plant

The study aims to show the effect of salicylic acid at concertation (50–100 and 150 ppm) and Pseudomonas fluorescens at (105,106,107 cfu/mL) on protein, carbohydrates content and leaf area for two varieties (Abu-Ghraib, Abaa 99) of Triticum aestivum L. The results are indicated the significant effect of P. fluorescens and salicylic acid (SA) at the combination of concentration of P. fluorescens (FP2) and SA (SA2) for variety (Abu-Ghraib) was more impact than (Abaa 99) on the physiological aspect like protein, carbohydrates content and leaf area (7.427, 55.55, 26.42) mg/g dry weight respectively while the value of control was (0.969, 4.158, 4.100) mg/g, respectively. The results showed that salicylic acid and P. fluorescens induced better than the sole application of SA or P. fluorescens.
Trends in Esophageal Adenocarcinoma and Esophageal Squamous Cell Carcinoma Incidence in the United States from 1992 to 2019

Simple Summary The incidence of esophageal cancer overall has increased in the United States, driven by increasing rates of esophageal adenocarcinoma (EAC). However, whether rates of EAC are still rising is unclear. We examined trends in esophageal cancer overall and within important sub-groups of the population. We found that esophageal squamous cell carcinoma (ESCC) rates have been steadily declining, while EAC rates rose rapidly before stabilizing in 2000. The trend of decreasing incidence of ESCC was observed almost uniformly by age group, sex, and race/ethnicity, while trends in EAC rates varied across these sub-groups. A cohort effect for EAC was observed among people born during 1950, but EAC rates were stable across successive generations born between 1950 and 1985. Given the continued rising rates of known EAC risk factors, including obesity and gastroesophageal reflux disease, there is a need to continue monitoring trends for changes in incidence rates. Abstract Background: Esophageal cancer (EC) incidence rates overall have declined in recent decades; however, the two main subtypes, esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC), show divergent secular trends. Methods: Age-adjusted EC incidence rates were calculated using data from the Surveillance Epidemiology and End Results (SEER) 12 Program. We examined secular trends from 1992 to 2019 overall and by age group, sex, race/ethnicity, tumor location, and SEER registry. Joinpoint regression was used to compute annual percent changes (APC) and average annual percent changes (AAPC). We used age-period-cohort models to examine the potential impact of period and birth cohort effects on trends. Results: Between 1992 and 2019, overall EC incidence rates declined by 0.54% annually (95% confidence interval [CI]: −0.75%, −0.33%). While ESCC rates declined linearly throughout the study period (AAPC = −2.85; 95%CI: −3.05%, −2.65%), EAC rates increased by over 5% annually from 1992 to 2000 (APC = 5.17; 95%CI: 3.28%, 7.10%), before stabilizing from 2000 to 2019 (APC = 0.22; 95%CI: −0.16%, 0.60%). Trends in ESCC and EAC varied by age group, sex, and race/ethnicity. Relative to ESCC rates among cohorts born circa 1950, the rates were 81% lower in cohorts born circa 1985 (rate ratio, 0.19; 95%CI: 0.04, 0.96). For EAC, rates have remained stable across successive birth cohorts since 1950. Conclusions: We observed linear declines in EC rates overall and for ESCC across age, sex, and race/ethnicity subgroups, but an inconsistent pattern for EAC. The trends in EAC cohorts born after 1955 were stable and suggest that EAC rates may have peaked in the U.S.
Limitations of Output Power and Efficiency of Simple Resonant-Tunneling-Diode Oscillators

We show that the maximum output power of a simple resonant-tunneling-diode (RTD) oscillator is fundamentally limited by the radiation conductance of its antenna and by a maximum RTD voltage swing. For stand-alone RTD oscillators with common simple antenna types, this power level most likely cannot exceed 1 mW at sub-THz and THz frequencies. The RTD current density, conductance, and capacitance have no direct influence on the maximum power level but those RTD parameters determine how close one can get to the maximum. We show that the maxima of the output power and dc-to-RF conversion efficiency are achieved for different sets of the parameters of RTD oscillators and not simultaneously. We demonstrate slot-antenna RTD oscillators with up to 0.5-mW output power at <inline-formula><tex-math notation="LaTeX">${\approx \! 100}\,$</tex-math></inline-formula>GHz and with 5<inline-formula><tex-math notation="LaTeX">${\%}$</tex-math></inline-formula> conversion efficiency, which could be increased further up to 8<inline-formula><tex-math notation="LaTeX">${\%}$</tex-math></inline-formula>, although at the expense of reduced output power. Composite RTD oscillators with separate resonators and radiators can possibly overcome the limitations of simple oscillators.
REVIEW OF THE DATA MODELING STANDARDS AND DATA MODEL TRANSFORMATION TECHNIQUES

Manual data transformations that result in high error rates are a big problem in complex integration and data warehouse projects, resulting in poor quality of data and delays in deployment to production. Automation of data transformations can be easily verified by humans; the ability to learn from past decisions allows the creation of metadata that can be leveraged in future mappings. Significant improvement of the quality of data transformations can be achieved, when at least one of the models used in transformation is already analyzed and understood. Over recent decades, particular industries have defined data models that are widely adopted in commercial and open source solutions. Those models (often industry standards, accepted by ISO or other organizations) can be leveraged to increase reuse in integration projects resulting in a) lower project costs and b) faster delivery to production. The goal of this article is to provide a comprehensive review of the practical applications of standardization of data formats. Using use cases from the Financial Services Industry as examples, the author tries to identify the motivations and common elements of particular data formats, and how they can be leveraged in order to automate process of data transformations between the models.