Miracle-dz/UniFAR-FTUs huggingface dataset:
HNF4G accelerates glioma progression by facilitating NRP1 transcription

Hepatocyte nuclear factor 4γ (HNF4G) is considered to be a transcription factor and functions as an oncogene in certain types of human cancer. However, the precise functions and the potential molecular mechanisms of HNF4G in glioma remain unclear. Therefore, the present study aimed to elucidate the role of HNF4G in glioma and the underlying mechanism. Western blotting and reverse transcription-quantitative PCR (RT-qPCR) demonstrated that HNF4G was highly expressed in glioma tissues and cell lines. The overexpression of HNF4G in LN229 and U251 glioma cells promoted cell proliferation and cell cycle progression, and inhibited apoptosis, while the knockdown of HNF4G suppressed cell proliferation, cell cycle progression and tumor growth, and induced apoptosis. A significant positive association was detected between HNF4G and neuropilin-1 (NRP1) mRNA expression in glioma tissues. Bioinformatics analysis, chromatin immunoprecipitation-RT-qPCR and promoter reporter assays confirmed that HNF4G promoted NRP1 transcription in glioma by binding to its promoter. NRP1 overexpression facilitated glioma cell proliferation and cell cycle progression, and suppressed apoptosis in vitro, while the knockdown of NRP1 inhibited cell proliferation and cell cycle progression, and facilitated apoptosis. NRP1 overexpression reversed the effects induced by HNF4G knockdown on glioma cell proliferation, cell cycle progression and apoptosis. In summary, the present study demonstrated that HNF4G promotes glioma cell proliferation and suppresses apoptosis by activating NRP1 transcription. These findings indicate that HNF4G acts as an oncogene in glioma and may thus be an effective therapeutic target for glioma.
Evaluation of speech under stress and emotional conditions

This paper presents results from an investigation of how stress and emotion affect speech characteristics with specific application to improving automatic speech recognition. Past studies have been limited in scope, often using only one or two subjects and analyzing only one or two parameters (typically involving pitch). A comprehensive speech under stress database has been established at Georgia Tech for the purposes of stress research. The database is partitioned into five domains, encompassing a wide variety of stresses that include: various talking styles (slow, fast, soft, loud, angry, clear, question, in noise), single and dual tracking workload stress inducing tasks, emotional speech from psychiatric analysis session, and subject motion‐fear tasks. A total of 32 speakers was employed to generate in excess of 16 000 utterances. The database evaluation was partitioned into three areas. Analysis was first performed on (i) speech with simulated stress and (ii) speech from stress inducing workload tasks.
Poly-Silicon Thin-Film Transistors with Uniform Performance Fabricated by Excimer Laser Annealing

Uniform performance in poly-Si thin-film transistors (TFTs) has been successfully achieved by excimer laser annealing. Mobility and its uniformity over a substrate were 59±3 cm2/V·s for n-channel TFTs and 45±5 cm2/V·s for p-channel types. To achieve uniform performance, we combined step annealing that uses two energy levels, and small-pitch annealing that moves a beam forward by a small pitch. The proposed method can improve surface morphology and uniformity of grain size in poly-Si. A 400-stage CMOS shift register composed of these TFTs could operate at 5 V, and attained the speed of 1 MHz at 8 V.
Symmetrical double rotor spiral waves on spherical surfaces

Chemical waves are influenced by the geometry of the medium on which they propagate and may form different complex spatiotemporal structures in specific cases. Chemical waves on a sphere, chemical pinwheels and the interactions of waves with obstacles are examples of such structures. In this paper, experimental and theoretical studies on the shape of chemical waves on spherical surfaces are described. The chemical composition of a medium dictates the velocity of chemical waves. Geometric constraints for a sphere require that waves moving parallel to the equator travel different distances depending on the latitudinal position. The propagation of waves must, therefore, adjust to changing curvature or the direction of propagation. An equation describing the shape of the chemical wave is obtained which shows agreement with the experimental data although additional effects due to the meandering of the spiral cores also become evident.
Adaptive charge control for the space inertial sensor

Inertial sensors are key components of gravitational wave observations and Earth geodesy missions. An inertial sensor includes an isolated free-floating test mass (TM) surrounded by capacitive electrodes and a housing frame (EH) to perform the relative-position measurement and control the TM in six degrees of freedom. Owing to galactic cosmic rays and solar energetic particles, many additional accelerations are introduced through the Coulomb interaction between charged TMs and their surrounding conducting surfaces. Thus, the TM charge control is critical in space-based missions. A contact-free and ultraviolet light-based charge management system (CMS) was developed to reduce charge-induced noises acting on the TMs and minimize force disturbances that can perturb measurements or interrupt science tasks. However, the operating environment for space charge control is full of uncertainties and disturbances. Physical parameters in the discharging process are rarely measured and will vary owing to changes in solar activity, temperature, and so on. The unpredictability and variability of these parameters affects the CMS performance in long-term space missions and must be evaluated or eliminated. This paper presents a simplified physical model for the discharge process based on electron exchange between the TM and the opposing EH. Subsequently, a model reference adaptive control (MRAC) is proposed for the CMS with parametric uncertainties to maintain the TM charge below a certain level and improve its robustness. The simulation results show that the MRAC can automatically adjust control parameters to eliminate the effect of the variability of the aforementioned physical parameters, and the control precision can reach 0.1 mV under uncertainties, which is superior to that of a classic proportional–integral–derivative controller. This study demonstrated the effects of adaptive charge control and its potential for actual applications.
Turn-Taking Mechanisms in Imitative Interaction: Robotic Social Interaction Based on the Free Energy Principle

This study explains how the leader-follower relationship and turn-taking could develop in a dyadic imitative interaction by conducting robotic simulation experiments based on the free energy principle. Our prior study showed that introducing a parameter during the model training phase can determine leader and follower roles for subsequent imitative interactions. The parameter is defined as w, the so-called meta-prior, and is a weighting factor used to regulate the complexity term versus the accuracy term when minimizing the free energy. This can be read as sensory attenuation, in which the robot’s prior beliefs about action are less sensitive to sensory evidence. The current extended study examines the possibility that the leader-follower relationship shifts depending on changes in w during the interaction phase. We identified a phase space structure with three distinct types of behavioral coordination using comprehensive simulation experiments with sweeps of w of both robots during the interaction. Ignoring behavior in which the robots follow their own intention was observed in the region in which both ws were set to large values. One robot leading, followed by the other robot was observed when one w was set larger and the other was set smaller. Spontaneous, random turn-taking between the leader and the follower was observed when both ws were set at smaller or intermediate values. Finally, we examined a case of slowly oscillating w in anti-phase between the two agents during the interaction. The simulation experiment resulted in turn-taking in which the leader-follower relationship switched during determined sequences, accompanied by periodic shifts of ws. An analysis using transfer entropy found that the direction of information flow between the two agents also shifted along with turn-taking. Herein, we discuss qualitative differences between random/spontaneous turn-taking and agreed-upon sequential turn-taking by reviewing both synthetic and empirical studies.
NeoCam: An Edge-Cloud Platform for Non-Invasive Real-Time Monitoring in Neonatal Intensive Care Units

In this work we introduce NeoCam, an open source hardware-software platform for video-based monitoring of preterms infants in Neonatal Intensive Care Units (NICUs). NeoCam includes an edge computing device that performs video acquisition and processing in real-time. Compared to other proposed solutions, it has the advantage of handling data more efficiently by performing most of the processing on the device, including proper anonymisation for better compliance with privacy regulations. In addition, it allows to perform various video analysis tasks of clinical interest in parallel at speeds of between 20 and 30 frames-per-second. We introduce algorithms to measure without contact the breathing rate, motor activity, body pose and emotional status of the infants. For breathing rate, our system shows good agreement with existing methods provided there is sufficient light and proper imaging conditions. Models for motor activity and stress detection are new to the best of our knowledge. NeoCam has been tested on preterms in the NICU of the University Hospital Puerta del Mar (Cádiz, Spain), and we report the lessons learned from this trial.
SLC1A2 Gene Polymorphism Influences Methamphetamine-Induced Psychosis

SLC1A2 is a gene encoded for the excitatory amino acid transporter 2 which is responsible for glutamate reuptake from the synaptic cleft in the central nervous system. Recent studies have suggested that polymorphisms on glutamate transporters can affect drug dependence, leading to the development of neurological diseases and psychiatric disorders. Our study investigated the association of rs4755404 single nucleotide polymorphism (SNP) of the SLC1A2 gene with methamphetamine (METH) dependence and METH-induced psychosis and mania in a Malaysian population. The rs4755404 gene polymorphism was genotyped in METH-dependent male subjects (n = 285) and male control subjects (n = 251). The subjects consisted of the four ethnic groups in Malaysia (Malay, Chinese, Kadazan-Dusun, and Bajau). Interestingly, there was a significant association between rs4755404 polymorphism and METH-induced psychosis in the pooled METH-dependent subjects in terms of genotype frequency (p = 0.041). However, there was no significant association between rs4755404 polymorphism and METH dependence. Also, the rs455404 polymorphism was not significantly associated with METH-induced mania for both genotype frequencies and allele frequencies in the METH-dependent subjects, regardless of stratification into the different ethnicities. Our study suggests that the SLC1A2 rs4755404 gene polymorphism confers some susceptibility to METH-induced psychosis, especially for those who carry the GG homozygous genotype.
ELECTROCHEMICAL BIOSENSOR FOR ERYTHROPOIETIN DETECTION IN ATHLETES

ABSTRACT Introduction: The cytokine erythropoietin (EPO) is a crucial hormone for producing RBCs, which carry oxygenated blood to the rest of the body. Objective: This paper aimed to create an electrochemical detection based on Fe2O3-NiO nanoparticles and graphene oxide to measure EPO levels in athletes’ blood. Methods: On a glassy carbon electrode, Fe2O3-NiO@GO was synthesized using the electrochemical deposition method. Results: The Fe2O3-NiO@GO/GCE was validated by structural characterizations using scanning electron microscopy (SEM). The Fe2O3-NiO@GO/GCE was found to be a suitable and stable erythropoietin biosensor with a linear range of 0-500 ng/l and a detection limit of 0.03ng/l in electrochemical tests using the DPV technique. Fe2O3-NiO@GO/erythropoietin was investigated as a biosensor for erythropoietin in athlete's plasma. Conclusion: The results showed that the values obtained for recovery (94.56% to 98.40) and RSD (2.01% to 3.22%) were acceptable, indicating that the suggested technique can be used as a practical erythropoietin biosensor in blood samples. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
Digital Currency in Indonesia (Prospects and Challenges in Inclusive Financial Reviews)

Who controls global finance? Digitalization is a necessity that will disrupt every area of human life. Money is like 'blood' in the economy. If the currency is disrupted then all areas of human life are also disrupted. Private versions of cryptocurrencies have disrupted the global financial system controlled by Central Banks. Central Bank Digital Currency (CBDC) is the currency version of the Central Bank. Using primary data and reference studies on Digital Currency. Several empirical challenges and opportunities in adopting digital currencies such as increasing the effectiveness, efficiency, and accessibility of individuals to financial service facilities. The right, reliable and trusted Digital Currency model can increase the utility of transactions for individuals and the economy as a whole. Some of the main challenges of digital infrastructure, security systems, Integration, Innovation of new services, disintermediation, transparency and efficiency. The ability to overcome these challenges can increase financial sector.
Modeling and Experiments for Heat Transfer Process in Pulverized Coal-Firing Furnace With Two-Dimensional Radiation Characteristics

A dimension-reducing method for calculating the radiant heat transfer with two-dimensional characteristics is introduced in this article. Using this dimension-reducing method, the two-dimensional discrete transfer method (DTM) was applied to a cylindrical enclosure where the medium was absorptive and emissive. The two-dimensional DTM was proved to produce equivalent prediction results as the three-dimensional radiation computation. Then the two-dimensional DTM was incorporated into a general pulverized coal combustion model to estimate radiant heat transfer. The temperature distribution and the net heat flux distribution of an axisymmetric pilot furnace, in which three kinds of lignite were burned, respectively, were calculated using the comprehensive model. The prediction using this model has been found to have a high agreement with the measured data, that the temperature errors was at ± 5% and the net heat flux error was at about ± 15%. The results have demonstrated the feasibility and potential of using the two-dimensional DTM for radiation modeling in pulverized coal flame, and confirmed that the dimension-reducing method and the overall model will be simple and convenient for engineers to use.
An analytical model of the effects of pulse pileup on the energy spectrum recorded by energy resolved photon counting x-ray detectors.

Purpose: Recently, novel CdTe photon counting x-ray detectors (PCXDs) with energy discrimination capabilities have been developed. When such detectors are operated under a high x-ray flux, however, coincident pulses distort the recorded energy spectrum. These distortions are called pulse pileup effects. It is essential to compensate for these effects on the recorded energy spectrum in order to take full advantage of spectral information PCXDs provide. Such compensation can be achieved by incorporating a pileup model into the image reconstruction process for computed tomography, that is, as a part of the forward imaging process, and iteratively estimating either the imaged object or the line integrals using, e.g., a maximum likelihood approach. The aim of this study was to develop a new analytical pulse pileup model for both peak and tail pileup effects for nonparalyzable detectors. Methods: The model takes into account the following factors: The bipolar shape of the pulse, the distribution function of time intervals between random events, and the input probability density function of photon energies. The authors used Monte Carlo simulations to evaluate the model. Results: The recorded spectra estimated by the model were in an excellent agreement with those obtained by Monte Carlo simulations for various levels of pulse pileup effects. The coefficients of variation (i.e., the root mean square difference divided by the mean of measurements) were 5.3%–10.0% for deadtime losses of 1%–50% with a polychromatic incident x-ray spectrum. Conclusions: The proposed pulse pileup model can predict recorded spectrum with relatively good accuracy.
Differential operators which commute with characteristic functions with applications to a lucky accident

The differential operator associated with the prolate spheroidal functions commutes with a certain integral operator. Its kernel is the reproducing kernel of the Paley-Wiener space restricted to a bounded interval. This “lucky accident” occurs because both the differential operator and its Fourier transform commute with multiplication by the characteristic function of an interval. It is the only operator of its type to do so.
Genetic Risk for Alzheimer Disease and Plasma Tau Are Associated With Accelerated Parietal Cortex Thickness Change in Middle-Aged Adults

Background and Objectives Neuroimaging and biomarker studies in Alzheimer disease (AD) have shown well-characterized patterns of cortical thinning and altered biomarker concentrations of tau and β-amyloid (Aβ). However, earlier identification of AD has great potential to advance clinical care and determine candidates for drug trials. The extent to which AD risk markers relate to cortical thinning patterns in midlife is unknown. The first objective of this study was to examine cortical thickness change associated with genetic risk for AD among middle-aged military veterans. The second objective was to determine the relationship between plasma tau and Aβ and change in brain cortical thickness among veterans stratified by genetic risk for AD. Methods Participants consisted of post-9/11 veterans (N = 155) who were consecutively enrolled in the Translational Research Center for TBI and Stress Disorders prospective longitudinal cohort and were assessed for mild traumatic brain injury (TBI) and posttraumatic disorder (PTSD). Genome-wide polygenic risk scores (PRSs) for AD were calculated using summary results from the International Genomics of Alzheimer's Disease Project. T-tau and Aβ40 and Aβ42 plasma assays were run using Simoa technology. Whole-brain MRI cortical thickness change estimates were obtained using the longitudinal stream of FreeSurfer. Follow-up moderation analyses examined the AD PRS × plasma interaction on change in cortical thickness in AD-vulnerable regions. Results Higher AD PRS, signifying greater genetic risk for AD, was associated with accelerated cortical thickness change in a right hemisphere inferior parietal cortex cluster that included the supramarginal gyrus, angular gyrus, and intraparietal sulcus. Higher tau, but not Aβ42/40 ratio, was associated with greater cortical thickness change among those with higher AD PRS. Mild TBI and PTSD were not associated with cortical thickness change. Discussion Plasma tau, particularly when combined with genetic stratification for AD risk, can be a useful indicator of brain change in midlife. Accelerated inferior parietal cortex changes in midlife may be an important factor to consider as a marker of AD-related brain alterations.
Random Site Percolation in Three Dimensions

We simulate sytems up to 10 001 × 10 001 × 10 001 in three dimensions at the percolation threshold pc of 0.31160. We find that the fractal dimension is ≃2.53±0.02, the cluster size distribution exponent, τ, is 2.186±0.002 and an exponent of 0.85 describing how the mass of the clusters scale with rank. Corrections-to-scaling exponents of ≃-0.7 are observed for ns and for the mass of the largest cluster. We also check the percolation threshold and report good agreement with recent values.
Subthreshold Modeling of a Tunable CMOS Schmitt Trigger

In this article, the subthreshold characteristics of a tunable single input CMOS Schmitt trigger (ST) are modeled for the first time. The high-to-low and low-to-high hysteresis transition points are analytically determined as a function of the tuning voltages and the transistors’ geometrical parameters. The derived expressions allow to design the ST with desired hysteresis width in subthreshold region. Furthermore, the proposed model allows to estimate the minimum supply voltage for which hysteresis occurs. The derived expressions also provide physical insight into the circuit behavior, by predicting the effect of supply voltage and temperature variations on the hysteresis width. The model is validated through simulations, and the maximum error between the analytical and simulated transition points is less than 5%. The model is also experimentally validated with an ASIC fabricated in AMS $0.35~\mu \text{m}$ CMOS process. The maximum error between the analytical and measured transition points is below 6%. The analytical model allows performance optimization in subthreshold region for low power applications.
Shungite (Mineralized Carbon) as a Promising Electrode Material for Electroanalysis

In this study, two different types of amorphous carbonaceous Precambrian rock, classified as noble elite shungite and black raw shungite, were tested as possible electrode materials of natural origin. Both types were machined into cylindrical shapes to form the corresponding solid electrodes and their physicochemical and electrochemical properties were compared with the standard glassy carbon electrode (GCE). The raw stones were first subjected to microscopic imaging by using scanning electron microscopy and energy-dispersive X-ray spectroscopy, both of which indicated significant differences in their morphology and in the content of impurities. An electrode prototype manufactured from noble elite shungite (EShE) with a carbon content of about 94% (w/w) has offered a very satisfactory electrochemical performance with a nearly identical heterogeneous electron-transfer rate constant of 7.8 × 10−3 cm s−1 for ferro/ferricyanide redox couple, a slightly narrower potential range (~2.1 V) and a relatively low double-layer capacitance (of ca. 50 μF), resulting in low background currents comparable to those at the GCE. In contrast, the second electrode based on black raw shungite (BShE) with a carbon content of ca. 63% (w/w) exhibited markedly worse electrochemical properties and more than four times higher double-layer capacitance, both of which were probably due to the presence of poorly conductive impurities. The whole study has been completed with three different examples of electroanalytical applications, revealing that the first type, EShE, is a more suitable material for the preparation of electrodes and may represent a cheap alternative to commercially marketed products.