Miracle-dz/UniFAR-FTUs huggingface dataset:
Expression analysis of human glioma susceptibility gene and P53 in human glioma and its clinical significance based on bioinformatics

Background The exact mechanism of glioblastoma multiforme (GBM) remains unclear. This study was to clarify the expression of P53 in glioma and its molecular mechanism, and to explore the possibility of P53 as a potential therapeutic target of glioma and its clinical application value, so as to provide a new theoretical basis for the treatment of glioma. Methods Firstly, a dataset was established to analyze the expression of P53 in different stages of glioma and its relationship with prognosis by using The Cancer Genome Atlas (TCGA) database, RNA-seq data, and survival data of glioma and normal control samples in gene expression profiling and interactive analysis (GEPIA). The genes co-expressed with P53 were screened out, their differential expression between glioma and normal control group was analyzed, and their functions were analyzed by enrichment analysis. The TGGA database was used for data verification and analysis. The correlation between P53 expression and clinicopathological parameters was analyzed. Kaplan-Meier survival analysis was used to analyze the relationship between P53 expression and overall survival (OS) and progression-free survival (PFS) of glioma patients, and Cox regression analysis was used to analyze the independent factors affecting OS and PFS of glioma patients. Results The results of TCGA data analysis were as follows: The expression level of P53 was different from that of different stages of glioma, namely, the expression level of P53 between grade II and grade III, grade III and grade IV, and grade II and grade IV were significantly different (P<0.05). The results of P53 gene-related survival analysis showed that KNL1 high expression and low expression were significantly different in OS, and the high expression group was associated with poor prognosis (P<0.05). Conclusions The P53 expression can be an effective biological indicator of poor prognosis of glioma.
An AC-Coupled 1st-Order Δ-ΔΣ Readout IC for Area-Efficient Neural Signal Acquisition

The current demand for high-channel-count neural-recording interfaces calls for more area- and power-efficient readout architectures that do not compromise other electrical performances. In this article, we present a miniature 128-channel neural recording integrated circuit (NRIC) for the simultaneous acquisition of local field potentials (LFPs) and action potentials (APs), which can achieve a very good compromise between area, power, noise, input range, and electrode dc offset (EDO) cancellation. An ac-coupled 1st-order digitally-intensive <inline-formula> <tex-math notation="LaTeX">$\Delta $ </tex-math></inline-formula>-<inline-formula> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula> architecture is proposed to achieve this compromise and to leverage the advantages of a highly-scaled technology node. A prototype NRIC, including 128 channels, a newly-proposed area-efficient bulk-regulated voltage reference, biasing circuits, and a digital control, has been fabricated in 22-nm fully depleted silicon on insulator (FDSOI) CMOS and fully characterized. Our proposed architecture achieves a total area per channel of 0.005 mm2, a total power per channel of 12.57 <inline-formula> <tex-math notation="LaTeX">$\mu \text{W}$ </tex-math></inline-formula>, and an input-referred noise of 7.7 ± 0.4 <inline-formula> <tex-math notation="LaTeX">$\mu \text{V}_{\mathrm {rms}}$ </tex-math></inline-formula> in the AP band and 11.9 ± 1.1 <inline-formula> <tex-math notation="LaTeX">$\mu \text{V}_{\mathrm {rms}}$ </tex-math></inline-formula> in the LFP band. A very good channel-to-channel uniformity is demonstrated by our measurements. The chip has been validated in vivo, demonstrating its capability to successfully record full-band neural signals.
A systematic approach for capturing interconnects hot spots

Overlay variations between different layers in Integrated Circuits fabrication can result in poor circuit performance, even worst it can cause circuit mal function and consequently affect process yield. Coupled with other lithographic process variations this effect can be highly magnified. This leads to the fact that searching for interconnects hot spots should include overlay variations into account. The accuracy of inclusion of the overlay variation effect comes at the expense of a more complex simulation setup. Many issues should be taken into consideration including runtime, process combinations to be considered and the feasibility of providing a hint function for correction. In this paper we present a systematic approach for classification of interconnects durability through the lithographic process, taking into account focus, dose and overlay variations, the approach also provides information about the cause for the low durability that can be useful for building a more robust design. This classification can be accessible at the layout design level. With this information in hand, designers can test the layout while building up their circuit. Modifications to the layout for higher interconnects durability can be easily made. These modifications would be extremely expensive if they had to be made after design house tape out. We verify this method by showing real wafer failures, due to bad interconnect design, against interconnects' durability classifications from our method.
Thermo-optical effects in Tm-doped large mode area photonic crystal fibers

Designs of Tm-doped photonic crystal fibers for laser operation must take in account the strong thermo-optical effects due to the Tm quantum defect and the consequent corruption of the single mode guiding properties. A new fiber design with a ∼ 80 μm core diameter, based on the cladding mirror symmetry reduction is proposed and analyzed using a full-vector FEM-based modal solver. The thermal effects are investigated using a computationally efficient model. A large pitch fiber with similar core diameter, which represents the actual state-of-art of Tm-doped laser technology, has been investigated in order to have a basis of comparison. Optimizing some key parameters of the new symmetry free fiber, the possibility to achieve a wide band single mode operation under an heavy heat load of over 300 W/m is demonstrated. In particular a very high modal discrimination value larger than 0.5 is obtained.
Nano-Spray-Dried Levocetirizine Dihydrochloride with Mucoadhesive Carriers and Cyclodextrins for Nasal Administration

Antihistamines such as levocetirizine dihydrochloride (LC) are commercially used in oral tablets and oral drops to reduce allergic symptoms. In this study, LC was nano-spray-dried using three mucoadhesive polymers and four cyclodextrin species to form composite powders for nasal administration. The product was composed of hydroxypropyl methylcellulose polymer, including LC as a zwitterion, after neutralization by NaOH, and XRD investigations verified its amorphous state. This and a sulfobutylated-beta-cyclodextrin sodium salt-containing sample showed crystal peaks due to NaCl content as products of the neutralization reaction in the solutions before drying. The average particle size of the spherical microparticles was between 2.42 and 3.44 µm, except for those containing a polyvinyl alcohol excipient, which were characterized by a medium diameter of 29.80 µm. The drug was completely and immediately liberated from all the samples at pH 5.6 and 32 °C; i.e., the carriers did not change the good dissolution behavior of LC. A permeability test was carried out by dipping the synthetic cellulose ester membrane in isopropyl myristate using modified horizontal diffusion cells. The spray-dried powder with β-cyclodextrin showed the highest permeability (188.37 µg/cm2/h), as this additive was the least hydrophilic. Products prepared with other cyclodextrins (randomly methylated-beta-cyclodextrin, sulfobutylated-beta-cyclodextrin sodium salt and (hydroxypropyl)-beta-cyclodextrin) showed similar or slightly higher penetration abilities than LC. Other polymer excipients resulted in lower penetration of the active agent than the pure LC.
Laser-excited intershell rotation of finite Coulomb clusters in a dusty plasma

The dynamical stability of finite two-dimensional clusters of charged micrometer sized particles is studied experimentally in a dusty plasma, where the particles experience a screened interaction. For clusters containing 19 and 20 particles the intershell rotation barrier height is measured quantitatively by applying a well defined torque on the clusters' outer shell by the radiation pressure of two opposing laser beams. Moreover, a complex behavior is found for the 19-particle cluster where structural transitions occur together with the intershell rotation showing that the presence of shielding can basically change the least stable modes in finite clusters. The measured crystal properties have been compared with Monte Carlo simulations. Quantitative agreement is found when nonideal effects are taken into account.
Renormalizing a Becchi-Rouet-Stora-Tyutin-invariant composite operator of mass dimension 2 in Yang-Mills theory

We discuss the renormalization of a BRST and anti-BRST invariant com- posite operator of mass dimension 2 in Yang-Mills theory with the general BRST and anti-BRST invariant gauge fixing term of the Lorentz type. The interest of this study stems from a recent claim that the non-vanishing vacuum condensate of the composite operator in question can be an origin of mass gap and quark confinement in any manifestly covariant gauge, as proposed by one of the authors. First, we obtain the renormalization group flow of the Yang-Mills theory. Next, we show the multiplicative renormalizability of the composite operator and that the BRST and anti-BRST invariance of the bare composite operator is preserved under the renormalization. Third, we perform the op- erator product expansion of the gluon and ghost propagators and obtain the Wilson coefficient corresponding to the vacuum condensate ofmass dimension 2. Finally, we discuss the connection of this work with the previous works and argue the physical implications of the obtained results.
A System Optimization Scheme for Bias Correction of Polarimetric Phased-Array Radar

With the change in the spatial angle, the cross-polarization isolation (CPI) of polarimetric phased-array radar (PPAR) changes as well, destroying the estimation of the target polarization scattering matrix (PSM). To correct the bias in PPAR, this article comprehensively designs the transmitting antenna, receiving antenna, and signal waveform and proposes a bias correction method based on system optimization. First, for the transmitting antenna of PPAR, the second-order cone program (SOCP) model is proposed to optimize the weighting coefficient. With the SOCP-based beamforming method, not only beam pattern in any spatial angle can be achieved, but also arbitrary polarization state can be precisely configured. Then, for the wideband receiving signal with a certain beamwidth, an angle estimation method based on eigenvalue decomposition is proposed in this article, which can effectively cure the challenges introduced by the beamwidth and signal bandwidth. Subsequently, for the signal waveform, the phase code is designed to measure all the elements of PSM in simultaneous transmission and simultaneous reception (STSR) mode, which could eliminate the biases of the moving speed and the second-order cross-polarization error. Finally, this article compares with other methods based on differential reflectivity, and experiments show that the factors such as the spatial angle, array structure, antenna beamwidth, signal bandwidth, motion speed, and signal-to-noise ratio (SNR) have the least influence on the present method in this article.
Using OCT to predict post-transplant renal function

The treatment of choice for patients with end-stage renal disease is kidney transplantation. However, acute tubular necrosis (ATN) induced by an ischemic insult (e.g., from prolonged ex vivo storage times, or non-heart beating cadavers) is a major factor limiting the availability of donor kidneys. In addition, ischemic induced ATN is a significant risk factor for eventual graft survival and can be difficult to discern from rejection. Currently, there are no rapid and reliable tests to determine ATN suffered by donor kidneys and whether or not donor kidneys might exhibit delayed graft function. OCT (optical coherence tomography) is a rapidly emerging imaging modality that can function as a type of “optical biopsy”, providing cross-sectional images of tissue morphology in situ and in real-time. In a series of recent clinical trials, we evaluated the ability of OCT to image those features of the renal microstructure that are predictive of ATN. Specifically, we found that OCT could effectively image through the intact human renal capsule and determine the extent of acute tubular necrosis. We also found that Doppler based OCT (i.e., DOCT) revealed renal blood flow dynamics that is also reported to be a determiner of post-transplant renal function. This kind of information will allow transplant surgeons to make the most efficient use of available donor kidneys, eliminate the possible use of bad donor kidneys, provide a measure of expected post-transplant renal function, and allow better distinction between post-transplant immunological rejection and ischemic-induced acute renal failure.
Combined VLBI/GPS series of precession-nutation and comparison with IAU2000 model

Cepek 2000) is capable of combining non-evenly distributed observations of a parameter with its observed rates, obtained in epochs that do not need to be identical with the epochs of the observed parameter. Using this method, the combination of VLBI-based celestial pole offsets with the GPS-based celestial pole offset rates is presented, and compared with the new IAU2000 model of precession-nutation. The new model is shown to agree with the combined solution at the level of present observational accuracy, and the Free Core Nutation (FCN) is shown to be dominant in the residuals.
Comparison of multistage stochastic programs with recourse and stochastic dynamic programs with discrete time

When solving a dynamic decision problem under uncertainty it is essential to choose or to build a suitable model taking into account the nature of the real-life problem, character of input data, availability of software, and computer technology. The purpose of this paper is to discuss similarities and differences of two candidate approaches connected with discrete time decision processes and with uncertainties of probabilistic nature.
Noncontact manipulation using a transversely magnetized rolling robot

A type of magnetic, wireless microrobot has been designed for non-contact manipulation of micro-objects in liquids. The agent, named the RodBot, has typical dimensions of 300 μm × 60 μm × 50 μm. The RodBot is transversely magnetized and rolls around its long axis on a surface in a rotating external magnetic field. In liquid environments, the RodBot generates a rising flow in front of it and a vortex above its body. The flow and vortex are efficient for picking-up and trapping micro-objects of sizes ranging from microns to one millimeter. In viscous solutions, a RodBot can transport objects many times its own size and weight.
Heuristics Integrated Deep Reinforcement Learning for Online 3D Bin Packing

Online 3D Bin Packing Problem (3D-BPP) has a wide range of industrial applications and there is an emerging research interest in learning optimal bin packing policy and deploying it for real logistics applications. From the heuristic methods to the deep reinforcement learning (DRL) methods, the previous works have proposed many solutions to solve the online 3D-BPP. However, none of them have studied what and how heuristics can be modelled into DRL to build a more effective and practical bin packing pipeline. In this work, we thoroughly investigate what heuristics can be used in online 3D-BPP and how to effectively integrate the heuristics with the DRL. First, we design 3 different heuristics based on the physical rules of the real world and the experiences of the human packers, including the Physics-Heuristics, the Packing-Heuristics and the Unpacking-Heuristics. Second, we model the 3 types of heuristics into the DRL framework and propose a novel heuristic DRL method to solve the online 3D-BPP. Extensive experimental results show that our method achieves state-of-the-art bin packing performance and the resulting real-world system is able to reliably finish the bin packing task in real logistics scenarios. Supplementary video is available at https://www.youtube. com/watch? v=x8GpmEELq18. Note to Practitioners—The rapid growth of e-commerce has significantly increased the burden of human packers in logistic warehouses, where the workers need to pick the products from a conveyor and pack them into bins (i.e. the online 3D bin packing). Thus it is of great importance to develop intelligent robotic systems to replace human labor, which is a long-standing topic in the field of control and automation science. This paper makes a substantial contribution to the related field by studying the online 3D bin packing in terms of both the theory and practice. On the one hand, the simulated experiments suggest that the presented algorithm significantly improves the space utilization of bin packing. On the other hand, the robotic system developed based on the proposed method can favourably finish the bin packing task in real logistics scenarios, demonstrating the practical use of our approach. Consequently, the approach proposed in this paper is totally applicable in logistic warehouses and is promising to drastically improve the working efficiency of the product packing in real warehouses. In the future, we will extend the presented approach to pack irregular-shaped objects and then facilitate more logistics applications.
A novel wavelength switchable fiber ring laser

We demonstrate a fiber ring laser with a dispersion compensation fiber (DCF) and a delayed interferometer (DI), which is able to switch eleven wavelengths one by one. In ring cavity, DCF supplies different effective cavity lengths for different wavelengths, DI generates a wavelength comb corresponding to the ITU grid, a flat-gain erbium-doped fiber amplifier (EDFA) provides uniform gain for each lasting wavelength, and a semiconductor optical amplifier (SOA) not only acts as active modulator, but also alleviates homogeneous broadening effect of EDFA. Stable pulse trains with a pulsewidth about 40 ps at 10 GHz have been obtained by injecting external optical control signals into the laser. Wavelength switching process among eleven wavelengths is achieved by merely tuning an intracavity optical delay line.
An illumination planner for convex and concave lambertian polyhedral objects

The measurement of shape is a basic object inspection task. We use a noncontact method to determine shape called photometric stereo. The method uses three light sources which sequentially illuminate the object under inspection and a video camera for taking intensity images of the object. A significant problem with using photometric stereo is determining where to place the three light sources and the video camera. In order to solve this problem, we have developed an illumination planner that determines how to position the three light sources and the video camera around the object. The planner determines how to position light sources around an object so that we illuminate a specified set of faces in an efficient manner, and so that we obtain an accurate measurement. We predict the uncertainty in our measurements due to sensor noise by performing a statistical simulation in our planner. This gives us the capability to determine when a measured shape differs in a statistically significant way from what we expect. From a high level, our planner has three major inputs: the CAD model of the object to be inspected, a noise model for our sensor, and a reflectance model for the object to be inspected. We have experimentally verified that the plans generated by the planner are valid and accurate.
Exercise Preferences among Men Survivors of Sexual Violence by PTSD and Physical Activity Level: Recommendations for Trauma Informed Practice

This analysis reported interest in exercise programs made for men survivors of sexual violence (SV), preferences for the structure and content of these programs, and comparisons by physical activity level and PTSD status. A cross-sectional survey was conducted among 198 men aged 18–65, with a history of SV, in the USA. Most respondents indicated interest in exercise programs for them. Men with PTSD were most interested. Men favored exercising at-home, alone, with a male instructor, 3–4 times per week, at moderate intensity, for 30 mins-1 h. No differences in preferences were found by activity status. Differences by PTSD status were found in location, social environment, instructor gender, intensity, duration, and program length. Top modes were walking, jogging, and biking. Results add new knowledge relevant for integrating exercise into trauma recovery programs.
Independently Motivating the Kochen—Dieks Modal Interpretation of Quantum Mechanics

The distinguishing feature of ‘modal’ interpretations of quantum mechanics is their abandonment of the orthodox eigenstate–eigenvalue rule, which says that an observable possesses a definite value if and only if the system is in an eigenstate of that observable. Kochen's and Dieks' new biorthogonal decomposition rule for picking out which observables have definite values is designed specifically to overcome the chief problem generated by orthodoxy's rule, the measurement problem, while avoiding the no-hidden-variable theorems. Otherwise, their new rule seems completely ad hoc. The ad hoc charge can only be laid to rest if there is some way to give Kochen's and Dieks' rule for picking out which observables have definite values some independent motivation. And there is, or so I will argue here. Specifically, I shall show that theirs is the only rule able to save Schrödinger's cat from a fate worse than death, and sidestep the Bell–Kochen–Specker no-hidden-variables theorem, once we impose four independently natural conditions on such rules
Geographic Variations in the EPR Spectrum of Tooth Enamel

The presence of stable radiation-induced radicals in the mineral component of tooth enamel allows use of this material as a biological dosemeter. Estimation of the dose absorbed in tooth enamel can be done by EPR. Generally, for the purpose of dose reconstruction, the EPR spectrum of tooth enamel is interpreted in terms of two main components. The first is a broad background signal often called the native signal centered at a g value of 2.0045. The origin of this signal is not precisely known. The second main component in the tooth enamel spectrum (g⊥ = 2.0018, g∥ = 1.9985) is purely radiation induced and can be used for retrospective dosimetry. Internal structure of the native signal and variations of its amplitude and linewidth were investigated for the samples prepared from modern teeth obtained from different geographic locations (USA and Russia). Possible reasons for the variations observed are discussed as are the potential effects of the variations on the reliability of dose estimation.