Miracle-dz/UniFAR-FTUs huggingface dataset:
Homeobox B9 Promotes the Progression of Hepatocellular Carcinoma via TGF-β1/Smad and ERK1/2 Signaling Pathways

Objectives Homeobox B9 (HOXB9), a homeodomain-containing transcription factor, may play a role in hepatocellular carcinoma (HCC) progression. However, the exact mechanisms underlying its action remain unclear. Materials and methods. Immunohistochemistry was used to investigate the expression of HOBX9 and its prognostic values in HCC patients. HCC cells were transfected with pBabe-HOXB9 and shHOXB9 plasmids, and MTT assay, Transwell assays, and xenograft mouse models were employed to determine the effects of HOXB9 on HCC cell proliferation, migration, and invasion in vitro and in vivo. The biological mechanisms involved in the role of HOXB9 were determined with Western blot and RT-qPCR methods. Results HOXB9 expression was significantly increased in HCC tissues and cell lines. Patients with higher HOXB9 levels were associated with poor prognosis. Overexpression of HOXB9 in BEL-7405 cells promoted proliferation, migration, and invasion, whereas knockdown of HOXB9 in HepG2 cells significantly reduced cell proliferation, migration, and invasion abilities. Mechanically, a positive correlation was found between HOXB9 expression and transforming growth factor-β1 (TGF-β1) and extracellular signal-regulated kinase (ERK)1/2 pathway in HCC tissues. HOXB9 overexpression stimulated TGF-β1/Smads signaling pathway in BEL-7405 cells. In contrast, HOXB9 knockdown inhibited the TGF-β1/Smads signaling pathway in HepG2 cells. In addition, the treatment with TGF-β1 inhibitor, LY364947, significantly reserved HOXB9 overexpression-induced cell proliferation, migration, and invasion abilities. Conclusions These findings validated that HOXB9 promoted proliferation, migration, and invasion in HCC cells by stimulating the TGF-β1/Smads and ERK1/2 signaling pathway. HOXB9 could be a promising prognostic biomarker and a potential therapeutic target in HCC.
Broadband signal subspace processing for range estimation

The problem of broadband range and bearing estimation is considered. Coherent focusing of the data covariance matrix over multiple frequency bins for 2D MUSIC estimation is studied and compared to incoherent summing of the MUSIC cost function over frequency bins. Coherent focusing provides improved performance over incoherent processing in the farfield bearing-only estimation problem, but introduces instabilities when applied to the near-field range and bearing estimation problem. The cost function response in the range parameter is not highly peaked, so initial focusing using even a slightly incorrect range estimate prevents convergence of the range estimate to the true range value. Incoherent processing, on the other hand, is less computationally complex, and achieves the Cramer-Rao lower bound at high SNR.
On the structure of the non-monomial groups of order 144 and 192.

The purpose of this paper is to carry out the explicite calculation and the determination of the non-monomial groups of order 144 and 192. Necessary and sufficient conditions for groups of order 144 and 192 to be non-monomial, are given in [7]. In order to do this, we used very strongly the references [6] and [7], but the calculations were shortened by the recent paper of J. C. Bioch, to be mentioned under reference [I].
Perubahan Nama Perusahaan Terhadap Tingkat Likuiditas dan Abnormal Return Saham

The announcement of a company name change is important information, especially in investment decisions. The announcement of a change in company name can cause a market reaction that affects the stock price. This study aims to analyze the change in the company's name on liquidity and stock abnormal returns on the Indonesia Stock Exchange from 2011-2021. The number of samples used in the study was 85 companies. The results showed an increase in positive abnormal returns after the announcement and a decrease in the bid-ask spread before and after the announcement. Furthermore, there is a significant negative abnormal return around the announcement date. In contrast to the bid-ask spread which shows a significantly positive result on the day around the announcement. In this study, the additional analysis of the effect of the ratio of ROA, DAR, firm size, and PBV showed a significant effect on abnormal returns, while firm age showed no significant effect on abnormal returns of the company's stock that changed its name.
The Effect of Uncontrolled Dumping of Solid Waste on Groundwater in Osun State, Nigeria

Background: This study analyzed physical, chemical and heavy metal properties of groundwater in well water and tap water (6 each) around eight dumpsites in Osun State, Nigeria. Two Batches of Samples were collected (Batch A & B) which were respectively obtained in January and July. Heavy metals were determined using Atomic Absorption Spectrophotometer (AAS) and this led to the investigation of the impacts of open dumpsite on groundwater quality, the concentration of the examined variables where compared with World Health Organization (WHO) standard limits of drinking water. Results: The pH in water samples range from 5.2-8.6, conductivity in samples range from 100-260 µS. Nitrate in water samples range from 3.1151 mg/L-12.179 mg/L, chloride in water samples range from 15.2mg/L-151.6 mg/L. Total Hardness (TH) in water samples range from 34 mg/L-146 mg/L, lead in well water range from none detected to 0.97 mg/L and tap water range from 0.00 mg/L-1.00 mg/L. Cadmium in well water range from none detected to 0.007 mg/L and all samples in tap water range from 0.069 mg/L-0.240 mg/L. Some of these parameters were found to exceed the World Health Organization standard limit in well water and tap water. Concentrations ofheavy metals and chemicals parameters such as chromium, lead, and iron were found to be higher in groundwater in batch B tap water and batch A well water, while, total hardness and NOˉ3 were the chemical parameters with higher concentrations in most water samples. Conclusion: The result shows that some groundwater sources are unfitted for the consumption in Osun State.
Input-output finite-time stability of nonlinear descriptor systems

This article discusses the input-output finite-time stability and stabilization problems of a class of nonlinear descriptor systems. Two classes of disturbance inputs which belong to L 2 and L ∞ are considered. Under the impulse-free condition of the descriptor systems, the article first studies the input-output finite-time stability with respect to the nonlinear descriptor systems with L 2 and L ∞ disturbance inputs. Based on this, the design of the state feedback controllers ensures that the closed-loop descriptor systems are input-output finite-time stabilization. Finally, the results of simulation on a nonlinear descriptor circuit system verify the effectiveness of the controllers in this article.
Aplicación del método de elementos finitos a la evaluación de la integral J en la probeta de tensión compacta

SUMMARY This work presents the numerical evaluation of the J Integral for the compact tension specimen by the Finite Element Method. The elastic-plastic behavior of the material is modeiied by using the von Mises yield criterion. Three strategies are used for the evaluation of J: first, the original definition of J as a line integral is employed. Second, J is evaluated by using its alternative definition as the energy release rate per unit crack length. Finally, J is evaluated from numerical results for applied load as a function of load line displacement, using the MerkleCorten formulation. For the assumed conditions, the energy release rate method yields values comparable to those given by the Merkle-Corten method. However, the former is simpler to apply numerically, for it does not require substancial modifications in the structure of the program used.
Algebraic models in geometry

1. Lie Groups and Homogeneous Spaces 2. Minimal Models 3. Manifolds 4. Complex and Symplectic Manifolds 5. Geodesics 6. Curvature 7. G-Spaces 8. Blow-ups and Intersection Products 9. A Florilege of Geometric Applications APPENDICES A. De Rham Forms B. Spectral Sequences C. Basic Homotopy Recollections
Self-tuning neurocontrol of nonlinear systems using localized polynomial networks with CLI cells

This paper presents a novel self-tuning neurocontrol scheme for nonlinear systems. It consists of the online nonlinear system identification and the online self-tuning controller design based on the certainty equivalence principle. The d-step ahead prediction input-output models of sampled-data nonlinear systems are identified using the localized polynomial networks with competitive lateral inhibitory (CLI) cells. Several self-tuning adaptive neurocontrol laws are then derived based on these models. The global stability of these self-tuning neurocontrol systems is guaranteed. The proposed scheme works for both minimum and non-minimum phase nonlinear systems. Simulation results confirmed the above theory.
Wavelet coherence of monsoon and large‐scale climate variabilities with precipitation in Pakistan

Monsoon and its teleconnection with earth system internal processes affect the spatiotemporal distribution of precipitation and water resources. In this paper, the wavelet coherence analysis has been utilized, a time and frequency domain methodology for comparing the spectral features of two independent time series superior to linear approaches. This technique is used to capture the significant modes of variabilities in the Indian Summer Monsoon Index (ISMI) and large‐scale climate indices (CIs) between ocean–atmosphere oscillations, like Indian Ocean Dipole (IOD), El Niño–Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), Southern Oscillation Index (SOI), North Atlantic Oscillation (NAO), Atlantic Multidecadal Oscillation (AMO), and Arctic Oscillation (AO) over Pakistan. Precipitation time series during 1960–2016 revealed significant interannual coherences with ISMI, whereas the remaining CIs (IOD, ENSO, PDO, SOI, NAO, AMO, and AO) revealed interannual, decadal and interdecadal coherences. However, AO revealed strongest coherences in R‐II, III, and VI at interdecadal scales among all CIs. Overall, the interannual cycles on ISMI are 2.8 years, IOD 1–5.3 years, PDO 0–5.3 years, SOI 1–5.3 years, NAO 0–5 years, AO 0–5 years, and AMO 0–8.3 years. Whereas, the remaining CIs shared interdecadal coherences over particular regions. The ISMI displayed coherences (except in the UIB) with the large‐scale CIs over various homogenous regions on an interannual scale. The dominant influence of ISMI is observed in R‐II and III; the significant coherences in R‐II ranged from ~8 to 32 months (~0.8–2.8 years). The IOD and NAO have major coherences than the remaining large‐scale CIs ranging from ~16 to 64 months (1.3–5.3 years). The AO has the most significant coherences observed in R‐II, III, and VI on the decadal/interdecadal scale from 128 months and above (almost 10–15 years). On a 1.0‐year timescale, all homogenous regions demonstrated strong intermittent coherence with ISMI, IOD, ENSO, PDO, SOI, NAO, AMO, and AO. These findings have substantial implications for decision‐makers and scientists in Pakistan looking to enhance water resource planning and operations in the face of future climate uncertainties.
Bevacizumab-Induced Hypertension as a Potential Physiological Clinical Biomarker for Improved Outcomes in Patients With Recurrent Glioblastoma Multiforme: A Systematic Review

With the advancement in medicine leading to the discovery of anti-vascular endothelial growth factor drugs, numerous oncologists are now commonly using antiangiogenic medications to improve outcomes and attain disease control. Thus, the significance of prognostic and predictive indicators in patient selection has become increasingly imperative. These biomarkers have the capacity to be highly effective and can easily be implemented in various diagnostic and therapeutic settings on a large scale. Overall, it has the potential of significantly decreasing mortality in a fatal disease and possibly achieving partial or complete remission. Many clinical trials have shown the efficacy of bevacizumab in treating malignancies. However, there are currently no known predictive or prognostic biomarkers for bevacizumab in glioblastoma multiforme (GBM). Several clinical studies have evaluated bevacizumab-induced hypertension as a potential marker in patients with different malignancies, including recurrent glioblastoma multiforme (rGBM). This systematic review was performed to determine the association of bevacizumab-induced hypertension with outcomes in patients with advanced brain cancer and to assess whether hypertension (HTN) can be used as a prognostic factor. The review was conducted according to Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, and the databases were searched from January 2012 to June 2022. This review aimed to evaluate six published studies to investigate the relationship between hypertension and the outcomes of patients with rGBM treated with bevacizumab. Among the included publications, four out of six were retrospective and featured a positive result regarding hypertension being used as an independent predictive factor of survival outcomes in rGBM. However, two studies showed negative results. This can be attributed to the limited subsets of patients and the duration of the studies. In conclusion, bevacizumab-induced hypertension may represent a prognostic factor in patients with rGBM.
The effect of grass silage harvesting strategy and concentrate level on feed intake, diet digestibility and milk production of dairy cows

Two experiments were conducted under Northern European conditions to quantify dairy cow responses to variable grass silage quality and concentrate feed supplementation. Experiment 1 included 3 primary growth grass silages (early, intermediate and late maturity stage) supplemented with three concentrate levels (9, 12 and 15 kg d-1). Experiment 2 included three consecutive harvests (first, second and third harvest from the same sward within the growing season) and three levels of concentrate supplementation (9, 11 and 13 kg d-1). Dairy cows responded clearly to changes in the harvesting time of silage in primary growth (quadratic effect) and amount of concentrate (linear effect) in the diet in Experiment 1. Milk yield was the lowest with third harvest silage in Experiment 2, and responses to increasing concentrate allowance were linear. Interactions between silage quality and concentrate supplementation were detected in Experiment 1, where milk production responses to additional concentrate decreased with increasing silage digestibility. No interactions were found in Experiment 2, probably due to the small range of differences in nutritional quality between the silages prepared from different harvests. The results demonstrated that it is difficult to compensate for low silage digestibility by increasing the amount of concentrate. The variable ECM response (from –0.01 to 0.85 kg ECM per kg DM incremental concentrate in the diet) is explained by the concomitant decrease in silage intake and negative effect on diet neutral detergent fibre digestibility.
The density-potential (Ne-VS/C) relation in the high-latitude prenoon ionosphere

Sounding of the Cleft Ion Fountain Energization Region (SCIFER) Thermal Electron Capped Hemisphere Spectrometer (TECHS) data are used to study the plasma density, spacecraft potential relation (Ne-VS/C) in the prenoon topside auroral and cleft ionosphere during a period of low solar activity. The SCIFER TECHS data show a power-law electron temperature dependence on ambient density across the transition from positive to negative spacecraft potential values in the high-latitude ionosphere. The illuminated ionospheric Ne-VS/C relation is numerically modeled by imposing equilibrium of current flowing to/from the conductive surfaces of the payload. This modeling demonstrates a strong dependence of spacecraft potential on electron temperature across a wide range of densities. This electron temperature dependence is especially significant in the negative spacecraft potential regime. SCIFER TECHS observations of the Ne-VS/C relation are used to extend the previous magnetospheric observation-model results to the h.
H I in the Field of the Dwarf Spheroidal/Irregular Galaxy Phoenix

New results are presented for a mosaic mapping of the H I in the field of the Local Group dwarf galaxy Phoenix. The observations, obtained with the Australia Telescope Compact Array, cover an area of ∼2° × 2°. Four velocity components are identified, at heliocentric velocities of -23, 7, 59, and 140 km s-1. While the gas at 7 km s-1 is of Galactic origin and the gas at 140 km s-1 is most likely associated with the Magellanic Stream, the situation for the two other components is unsure. However, it is suggested that the component at -23 km s-1 is probably associated with Phoenix because: (1) it has a compact structure and is only slightly offset from the optical image, (2) its H I mass of ∼105 M⊙ is what can be expected in such a system, 3) it has a definite velocity gradient, (4) its location west of Phoenix is compatible with the already suspected self-propagation from east to west of the last star formation episode. Because of the large mass (∼5 × 106 M⊙) implied if at the distance of Phoenix and also because of its large extent, the component at +59 km s-1 is most likely not associated. Optical velocities are still needed to confirm or not those possible associations.
Magnetocapacitance without magnetoelectric coupling

The existence of a magnetodielectric (magnetocapacitance) effect is often used as a test for multiferroic behavior in new material systems. However, strong magnetodielectric effects can also be achieved through a combination of magnetoresistance and the Maxwell-Wagner effect, unrelated to true magnetoelectric coupling. The fact that this resistive magnetocapacitance does not require multiferroic materials may be advantageous for practical applications. Conversely, however, it also implies that magnetocapacitance per se is not sufficient to establish that a material is multiferroic.
LIMITS ON PLANET FORMATION AROUND YOUNG PULSARS AND IMPLICATIONS FOR SUPERNOVA FALLBACK DISKS

We have searched a sample of 151 young, energetic pulsars for periodic variation in pulse time-of-arrival arising from the influence of planetary companions. We are sensitive to objects with masses two orders of magnitude lower than those detectable with optical transit timing, but we find no compelling evidence for pulsar planets. For the older pulsars most likely to host planets, we can rule out Mercury analogs in one third of our sample and planets with masses >0.4 M⨁ and periods P b < 1 ? > year in all but 5% of such systems. If pulsar planets form primarily from supernova fallback disks, these limits imply that such disks do not form, are confined to <0.1 AU radii, are disrupted, or form planets more slowly (>2 Myr) than their protoplanetary counterparts.
Reaction and Kinetics Studies of Immobilized Enzyme Systems: PartII With External Mass Transfer Resistance

In this present work, nonlinear reaction-diffusion equations in immobilized enzyme reactions have been solved analytically to estimate the substrate concentrations for the case of external mass transfer resistance for various geometrical shapes, such as planar, cylindrical and spherical forms of particle substrates. Taylor’s series method is applied for an analytical approximation of the dimensionless substrate concentration on immobilized enzyme reactions. The analytical solution is compared with the numerical solution result using MATLAB software coding and graphs for solving the boundary value problems. The effectiveness factor ( Ef) values have also been estimated and tabulated for the three geometries handled herein to describe the mass transfer limitation effect on the overall reaction rate. The Taylor series converges rapidly and yields an exact and readily verifiable series of analytic approximations for various relevant reaction parameters involved in this boundary value problem.
A new edge detection method of polarimetric SAR images using the curvelet transform and the Duda operator

A new method for edge detection of polarimetric SAR images is proposed based on the curvelet transform and the Duda operator in this paper. The detection of edge features from SAR images is complicated by the presence of speckle. Firstly, a despeckled polarimetric SAR image is derived by the Polarimetric Whitening Filter (PWF), and then the image is filtered by Lee's method with eight edge-aligned windows to preserve the edge sharpness. The curvelet transform which is a multi-scale representation suited for edge enhancement is applied to estimate the area including edges approximately. Then the Duda operator, a contrast ratio edge detector to extract linear features, is used to give the positions of the edges precisely. The proposed method is applied to PISAR images to illustrate its effectiveness. (4 pages)
Shifting in the n-Cube: Online Mistake Bounds and the Sample Compression Conjecture

This thesis explores near-optimal bounds on worst-case expected risk in supervised classification, and the Sample Compressibility Conjecture of Littlestone and Warmuth. These topics are related by the one-inclusion graph, an important data structure in learning theory. Vertex sets are subsets of the n-cube {0, 1}n (representing concept classes F ⊆ 2X where n = |X |), and vertices are connected by an edge if and only if they are hamming-1 apart. The graph forms the basis of natural prediction and sample compression strategies. By exploiting the combinatorial structure of concept class F ⊆ {0, 1}n, Haussler et al. achieved a VC(F)/n mistake bound for the one-inclusion prediction strategy. The key step in their proof is a d = VC(F) bound on the graph density of the one-inclusion graph with vertex-set F . The one-inclusion graph appears also to be key to resolving the long-standing Sample Compression Conjecture. A concept class F can be compressed to size k if any labeled sample of size m ≥ k, consistent with some f ∈ F , can be mapped to a subsample of length at most k such that the original m labels can be reconstructed from the subsample and the original m input points. The conjecture states that all classes of VC-dimension d can be compressed to size O(d). The first main result of this thesis is an algebraic topological property of maximum classes of VC-dimension d as being d-contractible simplicial complexes, extending the well-known characterization that d = 1 maximum classes are trees. The second main result is a one-inclusion graph density bound of n ( n−1 ≤d−1 ) / ( n ≤d ) < d, which positively resolves a conjecture of Kuzmin and Warmuth relating to their unlabeled Peeling compression scheme and also leads to an improved one-inclusion mistake bound. The proof uses a new form of VC-invariant shifting and a grouptheoretic symmetrization. We negatively resolve a minimum degree conjecture of Kuzmin and Warmuth—the second part to a conjectured proof of correctness for Peeling—that every class has one-inclusion minimum degree at most its VCdimension. The final main result is a k-class analogue of the d/n mistake bound, replacing the VC-dimension by the ΨB-dimension and the one-inclusion strategy by its natural hypergraph generalization. This result improves on known PACbased expected risk bounds by a factor of O(log n) and is shown to be optimal The numerator is the Vapnik-Chervonenkis dimension of F . A mistake bound is an upperbound on the expected number of classification errors made by the learner.