Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimizing sitting recognition models using preprocessing methods and improved ResNet

Social progress has driven industrial transformation and upgrading, and numerous people from physical labor to mental labor so that the proportion of sedentary people is increasing year by year. Poor sitting posture and sedentary are important causes of sub-health today. The premise of correcting poor sitting posture is to identify human sitting posture using realtime monitoring devices such as smart chair. Therefore, it is of great significance to study a sitting posture recognition method. In this article, we propose a data pre-processing method and an improved ResNet for the recognition of sitting posture. Using Cross-mean Filtering and Extreme Value Processing Functions to preprocess data can effectively filter out data noise and reduce the probability of algorithm misclassification. Experiments show that it is easy to analyze the user's sitting posture using this method, and the probability of physiological left-right tilt being misclassified as poor sitting posture is reduced, which means that the improved method proposed in this article has obvious advantages in recognizing sitting posture.
A closer look at underground natural gas pipeline leaks across the United States

Underground natural gas (NG) pipeline leakage can result in methane (CH4) buildup and migration through the soil. What is not well understood in such scenarios is how the soil conditions affect the gas migration behavior, particularly in regard to the relative contributions of specific soil properties such as soil moisture content. The objective of this study was to investigate the effects of soil properties on CH4 concentration and migration from leaking underground NG pipelines. Site characteristics such as surface cover and spatial dimensions, soil samples, and gas concentration data were collected from over 70 gas leakage sites across the United States using a standardized sampling method. Soil samples were collected from excavation sites that were 1.5′–5′ in depth. The collected soil samples were analyzed in the laboratory to measure the soil texture, permeability, and moisture. Statistical analysis was performed to evaluate the effects of soil properties on CH4 migration distance and concentration. Soil texture was consistent across geographic locations due to standardized pipeline backfill protocols, allowing for the analysis of gas concentration and transport data with respect to soil conditions. Soil moisture content was the dominant influence on the gas concentration and spreading distance. High soil moisture content was associated with reduced lateral diffusion and elevated concentrations near the leak point, whereas dry conditions were associated with reduced concentrations and greater spreading distance. Increasing soil moisture content reduced the lateral diffusion of CH4 into the soil due to water-induced tortuosity, resulting in elevated concentrations close to the leak point. Lateral migration of CH4 was suspected to be by diffusion, starting at 5 m from the leaks, while transport within the immediate vicinity of the leak was controlled by advection. These findings demonstrate a pronounced effect of soil moisture content and permeability on CH4 migration distance and concentration, providing key insight into the effects of soil conditions on NG migration and how to account for such effects in leak detection surveys.
Entanglement in systems of oscillators and quantum computations

It is shown that quantum devices based only on oscillators cannot serve as the universal quantum computer, despite of entanglement in such devices, which we roughly estimate for the ideal case and for the harmful entanglement with photonic modes. We show that quasi-particles are the native shell for the entanglement already for ground state, in contast to the free electromagnetic field where vacuum state does not produce entanglement at all.
Progress in Genomic Mating in Domestic Animals

Simple Summary Since animal domestication, breeders have been selecting candidates for breeding based on phenotypic performance. Estimating breeding values through the best linear unbiased prediction method represents a revolutionary shift in animal breeding. On this basis, selection and mating are utilized to improve the production level of animals. The application of genomic selection has once again revolutionized animal breeding methods. However, although this kind of truncated selection based on breeding values can significantly improve genetic gain, the genetic relationship between individuals with a high breeding value is usually closed, and the probability of being co-selected is greater, which will lead to a rapid increase in the rate of inbreeding in the population. Reduced genetic variation is not conducive to long-term sustainable breeding, so a trade-off between genetic gain and inbreeding is required. Genomic mating is the use of candidate individuals’ genomic information to implement optimized breeding and mating, which can effectively control the rate of inbreeding in the population and achieve long-term and sustainable genetic gain. It is more suitable for modern animal breeding, especially for conservation and genetic improvement of local domestic animal breeds. Abstract Selection is a continuous process that can influence the distribution of target traits in a population. From the perspective of breeding, elite individuals are selected for breeding, which is called truncated selection. With the introduction and application of the best linear unbiased prediction (BLUP) method, breeders began to use pedigree-based estimated breeding values (EBV) to select candidates for the genetic improvement of complex traits. Although truncated selection based on EBV can significantly improve the genetic progress, the genetic relationships between individuals with a high breeding value are usually closed, and the probability of being co-selected is greater, which will lead to a rapid increase in the level of inbreeding in the population. Reduced genetic variation is not conducive to long-term sustainable breeding, so a trade-off between genetic progress and inbreeding is required. As livestock and poultry breeding enters the genomic era, using genomic information to obtain optimal mating plans has formally been proposed by Akdemir et al., a method called genomic mating (GM). GM is more accurate and reliable than using pedigree information. Moreover, it can effectively control the inbreeding level of the population and achieve long-term and sustainable genetic gain. Hence, GM is more suitable for modern animal breeding, especially for local livestock and poultry breed conservation and genetic improvement. This review mainly summarized the principle of genomic mating, the methodology and usage of genomic mating, and the progress of its application in livestock and poultry.
IMPORTANCE OF PAIN DURATION PRIOR PAIN RELIEF TREATMENT WITH CT-GUIDED PERIRADICULAR THERAPY IN PATIENTS WITH CHRONIC LUMBAR PAIN

CT-guided periradicular therapy (PRT) is a minimally invasive interventional technique for treatment of chronic lumbar pain. Aim: To investigate importance of pain duration before PRT treatment in patients with chronic lumbar pain and radiculopathy, with clinical effectiveness assessment. A prospective follow-up CT guided PRT study was done in 166 patients divided into 4 groups according duration of pain before intervention (<3 months, 4-6months, 7-12months, >1year). Degree of pain intensity was determined according to VAS scale. Improvement degree was excellent, good, moderate, or weak.Good clinical response was defined when improvement is greater or equal to 50% on VAS scale, and functional improvement was equal to 40% in the reduction of the ODI index. Follow-up was done at 2nd weeks, 3 and 6 months. Good response was observed in 51.8% of the cases after 2 weeks, 54.2% after 3 months and 59% after 6 months. ODI index parameters was greater or equal to 40% in 22.2% after 2 weeks, 13.8% after 3 months, and 8.4% after 6 months. After 6 months in patients with pain duration up to 3 months, the improvement was excellent in 41(74.5%), moderate in 3(5.4%), good in 6(10.9%) and weak in 4(7.2%) patients in contrast to patients with pain over one year who showed excellent improvement in only 2(5.7%) patients, moderate in 11(31.4%), good in 6(17.1%) and weak in 16 (45.7%) patients. PRT is clinically effective with better clinical outcomein patients with shorter duration of symptoms.
Investigation of Alogliptin-Loaded In Situ Gel Implants by 23 Factorial Design with Glycemic Assessment in Rats

The aim of the study was to design injectable long-acting poly (lactide-co-glycolide) (PLGA)-based in situ gel implants (ISGI) loaded with the anti-diabetic alogliptin. Providing sustained therapeutic exposures and improving the pharmacological responses of alogliptin were targeted for achieving reduced dosing frequency and enhanced treatment outputs. In the preliminary study, physicochemical characteristics of different solvents utilized in ISGI preparation were studied to select a proper solvent possessing satisfactory solubilization capacity, viscosity, water miscibility, and affinity to PLGA. Further, an optimization technique using a 23 factorial design was followed. The blood glucose levels of diabetic rats after a single injection with the optimized formulation were compared with those who received daily oral alogliptin. N-methyl-2-pyrrolidone (NMP) and dimethyl sulfoxide (DMSO), as highly water-miscible and low viscous solvents, demonstrated their effectiveness in successful ISGI preparation and controlling the burst alogliptin release. The impact of increasing lactide concentration and PLGA amount on reducing the burst and cumulative alogliptin release was represented. The optimized formulation comprising 312.5 mg of PLGA (65:35) and DMSO manifested a remarkable decrease in the rats’ blood glucose levels throughout the study period in comparison to that of oral alogliptin solution. Meanwhile, long-acting alogliptin-loaded ISGI systems demonstrated their feasibility for treating type 2 diabetes with frequent dosage reduction and patient compliance enhancement.
Application of Energy Saving and Environmental Protection Materials in Architectural Design

With the improvement of the living standards of the Chinese people, the construction of the economic system will change from one that meets the needs of the people to one that is perfect. Under the current environment of building a resource-saving socialist harmonious society, it is very necessary for architectural design practitioners to return to the original architectural design and pay attention to the design and use of building materials during construction. The purpose of this paper is to explore and analyze the application of energy saving and environmentally friendly materials in architectural design. This paper firstly analyzes the building’s energy consumption and building’s energy efficiency. Every major achievement in building energy efficiency will be an important means of mitigating the Earth’s energy. Building energy saving has become a major trend of global development, and then the optimal design of reinforcement selection for reinforced concrete beams based on a multiobjective genetic algorithm is discussed. The area of reinforcement required for the member control section is obtained according to the structural analysis program, the main purpose of reinforcement selection is to select safe, economical, and reasonable reinforcement on the premise of meeting the provisions of the code and the requirements of reinforcement structure. Finally, this paper conducts experimental research on the application of phase change energy storage building material SP28 in building energy conservation. The experimental results in this paper show that when the mass ratio of the phase change energy storage material in the wall is less than 15%, there is no wetting and leakage phenomenon. However, when the mass ratio of the phase change energy storage material contained in the wall is greater than 15%, the phenomenon of wetting and leakage will occur, which will cause greater losses when added to the wall. Therefore, it is not suitable for application and building walls. Regardless of leakage, wetting, or economic considerations, the mass ratio of phase change material of 10% is the most suitable for use in walls. It not only has no wetting and no leakage but also has a good energy storage effect and can effectively adjust the ambient temperature.
An Effective Frequency Drift and Phase Offset Estimation Based on Two-Way Message Exchange for WSNs Time Synchronization

Time synchronization is one of the key technologies of wireless sensor networks. At present, most studies assume that the transmission delay is a fixed value, and there is no effective processing of historical clock data. Therefore, this paper proposes a clock frequency drift and phase offset estimation scheme which is considering variable transmission delay and historical clock data. This paper has clarified the effectiveness of the Gaussian delay model in the calculation of time synchronization error. On this basis, this paper calculated the maximum likelihood estimations of frequency drift and phase offset and the corresponding Cramer-Rao lower bound. Meanwhile, the transmission delay is optimized by comparing the chi-square distance between measured and standard data. Also, this paper conducts autonomous training on historical data to provide services for improving the accuracy of fitting estimation. Simulation results validate the performance of the proposed scheme.
DOA estimation of non‐circular signals based on iterative soft thresholding algorithm

Based on compressed sensing technology, a DOA estimation algorithm for reconstructing the original signal is proposed. First, the over‐complete dictionary of signal vectors is established based on the sparsity of signals in spatial domain. The DOA estimation problem is transformed into sparse signals reconstruction problem, and signals in spatial domain are reconstructed using iterative soft thresholding (IST) algorithm. At the same time, combined with the second‐order statistical characteristic of non‐circular signal, the array is virtual extended, and the spectrum estimation is performed by MUSIC algorithm. In addition, in order to further distinguish coherent signals, spatial smoothing technology is added to the algorithm. The simulation results show that the proposed algorithm can effectively resolve incoherent signals and coherent signals under small snapshots and low SNR.
Solar Tide‐like Signatures in the Ionospheric Total Electron Content During the 2018 Sudden Stratospheric Warming Event

Atmospheric waves play an important role in the vertical coupling of atmosphere and ionosphere. Recent studies revealed that the mesospheric wave activities associated with sudden stratospheric warming events (SSWs) are more complicated than previously thought. This study investigates the activities of the dominant solar tide‐like harmonics in the ionosphere during SSWs. Significant tide‐like harmonics are present in the residuals of total electron content (TEC) detected by five receivers at different latitudes using signals from BeiDou geostationary (BD‐GEO) C3 satellite during the 2018 SSW. The results reveal that after the SSW onset, the third harmonic enhances and the fourth harmonic weakens at all selected receivers. However, the second harmonic exhibits a response varying with latitude. We then compare the ionospheric tide‐like signatures with those in mesospheric winds observed by four meteor radars. A good agreement is found after the SSW onset. The measurements at Mohe (53.5°N, 122.3°E) show that the response of each specific ionospheric tide‐like signature is similar to the tidal result in the mesospheric winds after the onset of three SSW events in 2017–2019. In addition, we suggest that besides the direct or indirect effects from the interactions of various waves in the lower atmosphere, the non‐sinusoidal waveform of the ionospheric diurnal variation may also contribute to solar harmonic signatures in the ionosphere.
Dietary Patterns and Nutrient Intake in University Students of Macao: A Cross-Sectional Study

Background: Nutritional status affects the health of the public and is one of the key factors influencing social-economic development. To date, little research on the nutritional status of the Macao university student population has been conducted. Objectives: To identify and evaluate the dietary pattern and the nutritional intake among Macao university students. Methods: The Macao students were selected by the stratified cluster random sampling method. A semi-quantitative food frequency questionnaire was used to investigate food consumption. Data were analyzed through a t-test and factor analysis by using SPSS Version 24.0. Results: A total of 1230 questionnaires were distributed. From the respondents, 1067 (86.7%) were valid. In general, we identified three major dietary patterns in this population: (1) fruit and vegetable dietary pattern, characterized by abundant consumption of fruits and vegetables; (2) grain and high fat dietary pattern, characterized as high intakes of grains and animal foods; (3) high sugar dietary pattern, characterized by a large quantity of daily sugary drinks. The average daily intake of vitamin A, thiamine, calcium, and iodine were significantly lower than the Chinese Recommended Nutrient Intake (RNI) in the subjects. Conclusions: The dietary pattern of Macao students is similar to that of other Asians. Surprisingly, the daily intake of vitamin A, thiamine, calcium, and iodine by Macao university students is significantly lower than the Chinese RNI.
Genome Sequence of Eubacterium limosum B2 and Evolution for Growth on a Mineral Medium with Methanol and CO2 as Sole Carbon Sources

Eubacterium limosum is an acetogen that can produce butyrate along with acetate as the main fermentation end-product from methanol, a promising C1 feedstock. Although physiological characterization of E. limosum B2 during methylotrophy was previously performed, the strain was cultured in a semi-defined medium, limiting the scope for further metabolic insights. Here, we sequenced the complete genome of the native strain and performed adaptive laboratory evolution to sustain growth on methanol mineral medium. The evolved population significantly improved its maximal growth rate by 3.45-fold. Furthermore, three clones from the evolved population were isolated on methanol mineral medium without cysteine by the addition of sodium thiosulfate. To identify mutations related to growth improvement, the whole genomes of wild-type E. limosum B2, the 10th, 25th, 50th, and 75th generations, and the three clones were sequenced. We explored the total proteomes of the native and the best evolved clone (n°2) and noticed significant differences in proteins involved in gluconeogenesis, anaplerotic reactions, and sulphate metabolism. Furthermore, a homologous recombination was found in subunit S of the type I restriction-modification system between both strains, changing the structure of the subunit, its sequence recognition and the methylome of the evolved clone. Taken together, the genomic, proteomic and methylomic data suggest a possible epigenetic mechanism of metabolic regulation.
Quantum Control of Optically Active Artificial Atoms With Surface Acoustic Waves

Surface acoustic waves (SAWs) are a versatile tool for realizing coherent quantum interfaces between various solid-state qubits spanning microwave to optical frequencies. Through strain, electric, or magnetic fields associated with acoustic waves, qubit states can be controlled and measured with exquisite precision for applications in quantum information processing, memory, transduction, and sensing. In this review, we discuss progress toward quantum control using surface acoustic waves coupled to optically active artificial atoms, including semiconductor quantum dots (QDs), optically addressable solid-state spins, and quantum emitters in van der Waals materials. We outline the device, material, and theoretical considerations for realizing interactions with surface acoustic waves in the quantum regime, summarize the state of the art in coupling surface acoustic waves to artificial atoms, and provide insight into the current trends and trajectory of the field.
Impacts of photoselective bunch zone shading on the volatile composition and sensory attributes for Vitis vinifera L. cv. Riesling

Photoselective shading is a process that modulates the radiation intensity in specific regions of the electromagnetic spectrum. It is a common practice in horticulture to manipulate specific plant physiological responses, but to date has only received minimal attention in viticulture. The potent odorant 1,1,6-trimethyl-1,2-dihydronaphthalene (TDN) is of particular relevance for aged Riesling wine, which are also known to be impacted by the magnitude of bunch zone light exposure during berry development. Hence, in this study, the effect of photoselective bunch zone shading on the formation of TDN in wine was investigated across two consecutive growing seasons. Applying red, black or green shade cloth (SC) to the bunch zone provided unique bunch zone light environments and yielded distinct differences in grape and wine composition compared with the unshaded control. Overall, bunch zone shading through shade cloth was effective in reducing overall photosynthetically active radiation compared to the control and the photoselectivity of the SC treatments differently affected a number of grape and wine measures. Fruit yield was somewhat but not significantly lower under black SC treatments, while juice pH was increased in grapes grown under green and black SC across both vintages compared to the control. Both grape sugar accumulation (P = 0.035) and ammonia nitrogen (P = 0.043) showed evidence of treatment effects, although with low F-statistics (4 and 3, respectively). Measures of hydrolytically released TDN in juice and free TDN concentrations in wine were lower in SC treatments. Unexpectedly, sensory descriptive analysis of the wines demonstrated that increased ‘kerosene-like’ aroma was not consistently associated with free TDN concentrations in wine. In summary, photoselective bunch shading was demonstrated to be an effective method for manipulating grape and wine outcomes and may aid in overcoming viticultural obstacles and quality impacts associated with climate change.
Value Investing: Comparison Among Aviation, House Holdings and Financial Industries

Value investing is crucial for modern financial participants. This paper analyzes three companies in different industries, i.e., Delta Air Lines, M.D.C. Holdings Inc., and SVB Financial Group from the perspective of value investment and finds out which is the most valuable investment object. In the research process, seven different indicators are used to analyze these three companies, i.e., cheapness, growth, profitability, dividend payout, global market development, industry potential and the COVID-19 pandemic, etc. The results show that SVB Financial Group performs well at all levels. Therefore, SVB Financial Group is the company with the most investment value among all the three and should be focused more when making investment decisions.