Miracle-dz/UniFAR-FTUs huggingface dataset:
Thirdhand Smoke May Promote Lung Adenocarcinoma Development through HN1

Thirdhand smoke (THS) refers to residual tobacco smoking pollutants that can be adsorbed to indoor surfaces and dust and persist for years after active smoking. THS-related chemicals such as N-nitrosonornicotine (NNN) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) are tobacco-specific lung carcinogens that involved in lung cancer development and progression. In this study, we computed the differentially expressed genes (DEGs) between THS and paired control samples. THS-related overexpressed genes (OEs) were overlapped with OEs of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Survival analyses of these overlapped genes were performed using LUAD and LUSC data. 6 genes were selected for validation based on their expression levels and prognostic value. Hematological and neurological expressed 1 (HN1) was further selected due to its novelty in LUAD research. The potential roles of HN1 in LUAD were explored in several ways. In summary, HN1 is overexpressed in THS samples and is associated with the prognosis of patients with LUAD. It may promote cancer progression through several pathways and could serve as a potential therapeutic target especially for THS-related LUAD. In-depth mechanistic studies and clinical trials are warranted.
Accurate positions and finding charts of known planetary nebulae in the Large Magellanic Cloud

We present identifications and accurate positions for about 280 planetary nebulae (PNe) in the Large Magellanic Cloud (LMC). These positions are needed for follow-up ground or space observations. Entire Schmidt plates have been scanned with the MAMA micro-densitometer, and PPM stars used for the astrometric reduction. The precision achieved is always better than , and better than for most of the objects not located close to the border of the plates. Photometry in the B band is provided with an accuracy of about 0.2 magnitude, except in too crowded zones where the background cannot be determined. Cross-identifications with IRAS sources have also been tabulated and discussed.
Sparse Array Radar Staring Imaging Based on Matrix Completion

Multiple-input-multiple-output (MIMO) radar technique can be equivalent to a large number of virtual array elements, further increase the size of array aperture, then the azimuth resolution and imaging quality of MIMO radar image get improved compared to single-input-multiple output (SIMO) radar. Sparse array radar imaging technique with two-dimensional fast Fourier transform (2D-FFT) algorithm will bring high sidelobes in the radar image. However, sparse MIMO radar can reduce system cost and antennas coupling effect. Therefore, in this paper, a sparse MIMO radar imaging technique with FFT algorithm based on matrix completion is proposed to achieve higher resolution radar image rapidly. Simulation and experimental results show that the proposed method can effectively reduce the sidelobes and obtain higher azimuth resolution of the radar image.
Design and Implementation of a 6-18GHz Power Division Time Delay Module for Phased Array System

This work presents an eight channels 6-18GHz power division time delay module aiming at phased array applications. The module is assembled and manufactured by hybrid integration circuits (HIC). Amplifiers, power divider and digitally controlled true time delayer (TTD) chips used in the module are designed and taped out by GaAs process. A collaborative simulation method is given for precise module design. According to the measurement results, the module achieves 0-635ps time delay range with 5ps time delay step and less than 3ps root-mean-square (RMS) time delay error across 6-18GHz. The measured module output P1dB is higher than 5dBm.
A Low-profile Broadband Dual-Polarized Omnidirectional Antenna for LTE Applications

A low-profile broadband dual-polarized omnidirectional antenna is proposed. The proposed antenna has a very low profile (0.068λmin) and consists of a low-profile tapered monopole for vertical polarization (VP) and four horizontal dipoles arranged in a ring for horizontal polarization (HP). The HP antenna is used as the ground of the VP antenna, which can avoid designing intersecting feeding networks and solve the mismatch problem. The operating bandwidth of the proposed antenna is 1.7-2.7 GHz (45%) with an isolation of higher than 20 dB in simulation. The radiated performances of omnidirectional beams and low ECC are also realized.
Monocular Egocentric Distance Information Generated by Head Movement

How might definite spatial scale be determined on the basis of monocular optic flows? The evidence for the perception of distances in depth from optic flow indicates that head motion is essential for accurate performance. Accordingly, we propose a solution that entails the use of symmetries in the physically determined form of oscillatory head trajectories. The hypothesized solution is notable in two other respects. The first is the use of a time-dimensioned optic variable (Lee, 1974). This strategy takes advantage of the fact that metric temporal scaling is preserved in optic flow. Second, somatosensory information about the amplitude of head motion is used to scale distance in intrinsic units. An alternative multimodal solution would require somatosensory information about velocity of head motion, but the evidence from studies of vestibulo-ocular reflex indicate that adequate velocity information may not be available. Finally, we discuss means for testing the proposed solution.
Smooth Sliding-Mode Control for Spacecraft Attitude Tracking Maneuvers

A sliding-mode control (SMC) algorithm is derived and applied to quaternion-based spacecraft attitude tracking maneuvers. Based on some interesting properties related to the spacecraft model, a class of linear sliding manifolds is selected. Significantly, a Lyapunov function is introduced in the SMC design, which can avoid the inverse of the inertia matrix and thus simplify the controller design. To improve the transient response before reaching the sliding manifold, the smoothing model-reference sliding-mode control (SMRSMC) is further developed, which requires well-estimated initial conditions. Simulation results are included to demonstrate the usefulness of the SMRSMC method.
A Novel Rectifier with High-Efficiency and Power Based on Class-F Harmonic Suppression Structure

This paper propose an efficient and high-power RF to DC rectifier based on the Class-F harmonic suppression structure for WPT/WEH system. The rectifier consists of matching network, diodes, harmonic suppression structure and DC-pass filter. The harmonic suppression structure is a class-F microstrip line, which can suppress the high frequency harmonic components entering the diode, reduce the loss of the diode and improve the conversion efficiency. The DC-pass filter (DPF) is composed of the microstrip lines connected to fan-shaped branches for reflecting the higher harmonics generated by the diodes. The voltage doubling circuit topology is used in this rectifier, so that the circuit can obtain high efficiency under higher input power. A rectifier operating at 5.8 GHz was designed and simulated in advanced design system (ADS). The simulation results show that at 36 dBm input power, the maximum RF to dc power conversion efficiency (PCE) can reach more than 65% and the rectifier has good harmonic suppression effect. Compared with the rectifier with ordinary voltage-doubling structure, the efficiency is improved by about 20%.
Game Confrontation of 5v5 Multi-Agent Based on MAPPO Reinforcement Learning Algorithm

In the 5v5 air intelligence game, this is an environment in which the data of the agent platform can be observed. We will first consider using rules to build agents, but rules can not deal with all kinds of combat situations, which makes us think of the method of Multi-Agent Reinforcement Learning. This paper combines rules and reinforcement learning methods to construct an agent to try to solve the problem of air intelligent game.
New Insights into the Genetics and Epigenetics of Aging Plasticity

Biological aging is characterized by irreversible cell cycle blockade, a decreased capacity for tissue regeneration, and an increased risk of age-related diseases and mortality. A variety of genetic and epigenetic factors regulate aging, including the abnormal expression of aging-related genes, increased DNA methylation levels, altered histone modifications, and unbalanced protein translation homeostasis. The epitranscriptome is also closely associated with aging. Aging is regulated by both genetic and epigenetic factors, with significant variability, heterogeneity, and plasticity. Understanding the complex genetic and epigenetic mechanisms of aging will aid the identification of aging-related markers, which may in turn aid the development of effective interventions against this process. This review summarizes the latest research in the field of aging from a genetic and epigenetic perspective. We analyze the relationships between aging-related genes, examine the possibility of reversing the aging process by altering epigenetic age.
Determination of the solar wind slowdown near solar maximum

[1] The magnitude of the solar wind speed decrease from the inner to the outer heliosphere provides important information about the interaction of the heliosphere with the local interstellar medium (LISM), leading to better estimates of the size and shape of the heliosphere and of the LISM density. In this study we combine observations from multiple spacecraft (ACE, Ulysses, and Voyager 2) near solar maximum with a multifluid one-dimensional numerical model to examine the solar wind slowdown. We find a decrease in speed of 53-62 km s -1 at Voyager 2 (∼60 AU) with respect to ACE and Ulysses measurements or a 12-14% slowdown, the largest yet reported. The model results agree well with observations if we assume an interstellar neutral hydrogen density of 0.09 cm -3 at the termination shock.
Near-Infrared Spectral Similarity between Ex Vivo Porcine and In Vivo Human Tissue

Background: In vivo diffuse reflectance spectroscopy provides additional contrast in discriminating nerves embedded in adipose tissue during surgery. However, large datasets are required to achieve clinically acceptable classification levels. This study assesses the spectral similarity between ex vivo porcine and in vivo human spectral data of nerve and adipose tissue, as porcine tissue could contribute to generate large datasets. Methods: Porcine diffuse reflectance spectra were measured at 124 nerve and 151 adipose locations. A previously recorded dataset of 32 in vivo human nerve and 23 adipose tissue locations was used for comparison. In total, 36 features were extracted from the raw porcine to generate binary logistic regression models for all combinations of two, three, four and five features. Feature selection was performed by assessing similar means between normalized features of nerve and of adipose tissue (Kruskal–Wallis test, p < 0.05) and for models performing best on the porcine cross validation set. The human test set was used to assess classification performance. Results: The binary logistic regression models with selected features showed an accuracy of 60% on the test set. Conclusions: Spectral similarity between ex vivo porcine and in vivo human adipose and nerve tissue was present, but further research is required.
The Multimodal Dynamics of a Walnut Tree: Experiments and Models

The dynamics of a walnut tree is investigated in order to better understand the mechanical interaction of trees with wind. Experimental data on the vibrational modes of the tree are obtained, using pull and release tests. These results are then used to validate a previous analytical approach that predicts the organization of modal frequencies as a function of two allometry parameters describing the branched tree geometry. In addition to these experimental results, vibration modes are also obtained from a finite element computation using a detailed digitization of the tree geometry. The comparison between experiments, computation, and the simple analytical approach confirm the specific organization of modes of such branched trees, with a high modal density and a spatial localization. Then the possible biological importance of this organization and the potential biomimetic applications are outlined. [DOI: 10.1115/1.4005553]
Causality Relationship Between Public Investment and Private Investment: the Case of Indonesia

Public investment in APBN annually budgeted as capital expenditure. However, public investment not only in the form of physical capital but also in the non-physical forms of human resources that can be looked at education expenditure and health expenditure that called as human capital. The purpose of this study is to provide empirical evidence about causality that occurred between public expenditure and private sector investment in Indonesia with 33 provinces over the study period 2010-2013. The statistical tool used in this study is the Three-stage Least Squares from E- Views. Results of this study indicate that there are causal relationship between public investment in infrastructure and private investment and between public investment in infrastructure and public investment in human resources. However, no causal relationship occurs between the public investment in human resources and private investment. As a control variable, GDP has positive and significance effect on private investment.
A Transformer Design for High-Voltage Application Using LLC Resonant Converter

The inductor–inductor–capacitor (LLC) resonant converter is a suitable topology for wide output voltage and load range applications with limited circuit parameters. One of the most significant design boundaries of an LLC resonant converter in high-voltage applications is the parasitic capacitance effect of the main circuit components, particularly the transformer and junction capacitances of the secondary rectifier network. Parasitic capacitance effects are much higher in high-voltage applications than in low-voltage applications. Therefore, the use of an LLC resonant converter is limited to high-voltage applications. This study proposes to reduce the capacitive effects of high-voltage transformers and rectification networks with a multi-winding transformer with an integrated rectifier design and to use it in high-voltage applications with the advantages of the LLC resonant converter. For the proposed prototype, comparative experimental measurements were conducted using a conventional scheme. The measurements validate the reliability of the LLC converter for high-voltage applications, improving the output regulation performance while significantly reducing parasitic capacitances.
Determinants and Effects of Vitamin D Supplementation in Postmenopausal Women: A Systematic Review

Hormonal fluctuations, excessive clothing covering, sunscreen use, changes in body fat composition, a vitamin D-deficient diet, and a sedentary lifestyle can all predispose postmenopausal women to vitamin D deficiency. An effective supplementation plan requires a thorough understanding of underlying factors to achieve the desired therapeutic concentrations. The objective of this study was to conduct a systematic review of the predictors that affect vitamin D status in postmenopausal women. From inception to October 2022, we searched MEDLINE, Embase, Web of Science, Scopus, and clinical trial registries. Randomized clinical trials of postmenopausal women taking supplements of vitamin D with serum 25-hydroxyvitamin D (25(OH)D) measurement as the trial outcome were included. Two independent reviewers screened selected studies for full-text review. The final assessment covered 19 trials within 13 nations with participants aged 51 to 78. Vitamin D supplementation from dietary and pharmaceutical sources significantly increased serum 25(OH)D to optimal levels. Lower baseline serum 25(OH)D, lighter skin color, longer treatment duration, and prolonged skin exposure were all associated with a better response to vitamin D supplementation in postmenopausal women.
Through-the-Wall Passive Detection for Moving Targets based on Channel State Information Reconstruction

Under a through-the-wall (TTW) scenario, existing passive moving target detection algorithms based on Wi-Fi signal could not clearly distinguish the number of targets as transceivers are placed on the same side of a wall. In order to address the above problem, a novel detection algorithm is proposed based on channel states information (CSI) reconstruction. We first correct phase errors, and then estimate angles of arrival (AoAs) and times of flight (ToFs) of interference signals. Later, the interference signal amplitude and phase are reconstructed with both parameters. Next, useful signal is obtained and further cleaned by using the row signal to subtract the interference signal. Afterwards, multiple features are extracted to feed to back propagation (BP) neural network to classify diverse states in this paper. Finally, experimental results show that, compared with the existing algorithms, the proposed algorithm has a higher accuracy for target detection.
A Novel Millimeter Wave Dual-layer SIW Bandpass Filter with Wide Stopband

In this paper, a novel millimeter-wave dual-layer substrate integrated waveguide (SIW) filter using uniform impedance resonators (UIRs) with wide stopband is proposed. An “S” shaped slot is applied at the center of the surface metal on the upper layer to achieve two “C” shaped open-ended UIRs, which are used to realize high-order modes suppression. The dual-layer structure with multiple etched slots is applied for compactness and selectivity. The simulation results of the proposed filter show that it has a wide stopband of 31.2-80.3GHz where |S21|<-20dB with the characteristics of high selectivity and low profile compared to conventional SIW band pass filters.
138La Anomaly in the Early Solar System

For every 1100 lanthanum atoms in the solar system, only one is 138La. Relative to this low abundance, even a tiny additional 138La made by irradiating its more abundant neighboring nuclides with energetic protosolar flare particles would cause a large, hence detectable, percentage increase in 138La. Such early solar irradiation can produce many now-extinct short-lived radio nuclides (e.g., 41Ca, 53Mn, and 26Al) and is the only way to make the newly discovered 10Be and the possibly detected 7Be, because stars destroy rather than produce Be. The alternative hypothesis to produce extinct nuclides is the injection of freshly synthesized radioactivity from a nearby asymptotic giant branch star or supernovae during solar system formation. Hoping to clarify the origin of extinct nuclides, we have been searching for 138La excess and its possible correlation with extinct nuclides. Here we report the detection of up to 0.6% (~7.5 σ) 138La excesses in five Allende calcium-aluminum-rich inclusions. Surprisingly, they do not correlate with 26Al, thus offering no support for making 26Al by early irradiation. Instead, 138La excess correlates with 50Ti excess. Current nucleosynthesis models produce 50Ti in a rare subset of Type I supernovae whose core underwent significant gravitational collapse before carbon deflagration. Our observed correlation thus suggests that 138La also came from these rare sources, perhaps in the mantle of the white dwarf, by reactions induced by the neutrino burst emitted during core neutronization. After the explosion, 138La was incorporated into Ti-rich dusts that later became the building material of our solar system.
Summarization of Sinter Quality Prediction Algorithms

The sintering of sinter is a dynamic process with a cumbersome mechanism, many influencing factors, and a long process. The traditional sinter quality inspection method uses a sinter cup experiment, which has a long experiment period and a lack of timely feedback of results. The sintering production process is a complex system with significant nonlinearity, strong coupling and large hysteresis, the sintering process involves many intermediate parameters and physical and chemical changes. At present, scholars have done a lot of research on the data-based sinter quality prediction algorithm, and successfully use the algorithm to guide the sintering production. This article summarizes that domestic and foreign researchers have done a lot of work on sinter quality prediction. The current quality prediction of sinter is mainly divided into data preprocessing (data dimensionality reduction), quality prediction algorithm based on neural network, and quality prediction algorithm based on multi-model. This paper analyzes the prediction principles, effects, advantages and disadvantages of the three algorithms. And the future development of this field is considered and prospected.
On a Test for Multimodality Based on Kernel Density Estimates.

Abstract : Kernel probability density estimates can be used to construct a test of the hypothesis that the density underlying a given univariate data set has at most k modes, for any given k greater than 1. The test is based on the critical value of the smoothing parameter for k modes to occur in the estimate. The theoretical properties of this test are investigated; the asymptotic properties of the test statistic show that the test is consistent. Furthermore the rate of convergence of the test statistic to zero gives some theoretical insight into a bootstrap technique previously suggested by the author, and also into observed properties of kernel density estimates. (Author)
Lateral Intercostal Artery Perforator Flap to Treat Pure Cutaneous Recurrence After Breast-Conserving Surgery: A Case Report

Pure cutaneous recurrence after breast-conserving surgery is rare and presents a unique challenge to clinicians. Some carefully selected patients may be amenable to further breast-conserving therapy. We present the case of a 45-year-old female with a cutaneous recurrence of previously treated right breast cancer along the operative scar in the upper outer quadrant. The patient underwent a further wide local excision with lateral intercostal artery perforator flap with a skin paddle reconstruction. We achieved volume replacement with this technique, disease control, and a pleasing cosmetic result.
Effects of Non-Verbal Communication by In-Vehicle Robots on Passengers during Automated Driving

Recently. , automated driving technologies are being researched and developed all over the world. However. , many people still feel worried about safety and comfortably for an autonomous vehicle. As one of the reasons. , a passenger is difficult to predict the behavior of autonomous system. In this study. , we use a humanoid robot as an interface to bridge the communication between a passenger and an autonomous vehicle. A humanoid robot takes driving behavior like a human driver in a car to urge the prediction of the behavior of system to passenger. We have investigated that the robot motions help passenger's prediction of the autonomous vehicle behaviors using a driving simulator and the actual robot. Through the experiments. , we discuss the relationship between the motion timing of the humanoid robot and the autonomous vehicle behaviors. As a result. , we show that the robot motions are effective for urging the prediction of the behavior of the system to passengers.