Miracle-dz/UniFAR-FTUs huggingface dataset:
A Restoration Scheme for Spatial and Spectral Resolution of the Panchromatic Image Using the Convolutional Neural Network

Remote sensing images are the product of information obtained by various sensors, and the higher the resolution of the image, the more information it contains. Therefore, improving the resolution of the remote sensing image is conducive to identify Earth resources from the remote sensing image. In this article, we present a multiple-branch panchromatic image resolution restoration network based on the convolutional neural network to improve the spatial and spectral resolution of the panchromatic image simultaneously, named MBPRR-Net. Specifically, we adopt a multibranch structure to extract abundant features and utilize a feature channel mixing block to enhance the interaction of adjacent channels between features. Feature aggregation in our method is used to learn more effective features from each branch, and then a cubic filter is utilized to enhance the aggregated features. After feature extraction, we use a recovery architecture to generate the final image. Moreover, we utilize image super-resolution to restore spatial resolution and image colorization to restore the spectral resolution so that we can compare it with some image colorization and super-resolution methods to verify the proposed method. Experiments show that the performance of our method is outstanding in terms of visual effects and objective evaluation metrics compared with some existing excellent image super-resolution and colorization methods.
An Examination of the General Relativity of the Bianchi type V Holographic Dark Energy Model Using the Hybrid Expansion Law

This examination presents an investigation of the qualities of anisotropic and homogeneous Bianchi type V space-time inside the setting of general relativity, while considering the consideration of dark matter and holographic dark energy model parts. The arrangements of the differential condition fields have been determined by looking at two unmistakable situations: one where the extension scalar in the model is straightforwardly relative to the shear scalar, and one more where the typical scale factor is expected to follow a half breed development structure. The answers for the field conditions are inferred inside the system of general relativity. A similar to peculiarity was found with regards to the tension and condition of state boundary of the holographic dark energy model inside their separate settings. This study researches the physical and mathematical parts of a few factors that hold infinite importance, including the jerk boundary inside our model. The noticed boundaries line up with the cosmological models that portray the present status of the universe, described by sped up extension. All in all, we state that our model looks very similar to the ΛCDM cosmological model all through the later stages and lines up with the most recent discoveries of cosmological information.
Welcome to a New Generation of Entertainment: Amazon Web Services and the Normalization of Big Data Analytics and RFID Tracking

The 2017 partnership between the National Football League (NFL) and Amazon Web Services (AWS) promises novel forms of cutting-edge real-time statistical analysis through the use of both radio frequency identification (RFID) chips and Amazon’s cloud-based machine learning and data-analytics tools. This use of RFID is heralded for its possibilities: for broadcasters, who are now capable of providing more thorough analysis; for fans, who can experience the game on a deeper analytical level using the NFL’s Next Gen Stats; and for coaches, who can capitalize on data-driven pattern recognition to gain a statistical edge over their competitors in real-time. In this paper, we respond to calls for further examination of the discursive positionings of RFID and big data technologies (Frith 2015; Kitchin and Dodge 2011). Specifically, this synthesis of RFID and cloud computing infrastructure via corporate partnership provides an alternative discursive positioning of two technologies that are often part of asymmetrical relations of power (Andrejevic 2014). Consequently, it is critical to examine the efforts of Amazon and the NFL to normalize pervasive spatial data collection and analytics to a mass audience by presenting these surveillance technologies as helpful tools for accessing new forms of data-driven knowing and analysis.
A Risk Management Method for the Whole Route of Ferry Vehicles Based on Machine Recognition

: In response to the current information acquisition methods in the safety management process of crossing transportation vehicles, backwardness of backwardness, large manpower and material consumption, and video surveillance resources are not fully utilized, this article promotes the in -depth integration of artificial intelligence machine vision technology with the ferry business through the automatic analysis and processing technology of monitoring videos. It realizes the real-time monitoring of the operating status of the ferry vehicle and the refined control of dangerous events, providing new means for the operation monitoring of crossing vehicles, and effectively supporting the high -quality development of ferry transportation.
Impact of Organizational Culture on the Financial Performance of Listed Companies in Vietnam - A Case Study of the Logistics and Transportation - Warehouse Sector

The study utilizes data collected from annual reports to investigate factors influencing the financial performance of businesses in the transportation and warehouse sector during the period from 2019 to 2021, specifically focusing on organizational culture factors. To achieve the research objectives, various estimation methods were employed, including Ordinary Least Squares (OLS), Fixed Effects Model (FEM), and Random Effects Model (REM) regression models. Through relevant tests, the study determined that the FEM model was most suitable. Subsequently, the model's shortcomings were addressed, and adjustments were made using Feasible Generalized Least Squares (FGLS) method. Based on the estimation results, the author identified statistically significant characteristics, including the market culture and hierarchical culture, which positively influence the financial performance of companies as measured by the Return on Assets (ROA) ratio.
Exploring the impedance-matching effect in terahertz reflection imaging of skin tissue

Terahertz (THz) electromagnetic waves, known for their unique response to water, offer promising opportunities for next-generation biomedical diagnostics and novel cancer therapy technologies. This study investigated the impedance-matching effect, which enhances the efficiency of THz wave delivery into tissues and compensates for the signal distortion induced by the refractive index mismatch between the target and the sample substrate. Three candidate biocompatible materials, water, glycerol, and petroleum jelly were applied to a skin phantom and compared using THz two-dimensional imaging and time-of-flight imaging methods. Finally, we successfully demonstrated impedance-matching effect on mouse skin tissues.
Study of decoupled uplink and downlink access in 5G heterogeneus systems

Uplink and downlink decoupling (DUDe) is a disruptive technique that has been proposed recently to reduce the uplink and downlink imbalance problem, which occurs in HetNets due to the strong transmit power disparities between macro and small cells. In this thesis, previous research done on DUDe, in particular the association probability derivation, is used to calculate how the capacity is affected when the association is made to any SCell in the scenario. This specific situation is highly realistic since one or several small cells might be unavailable due to overload reasons. Therefore, one of the main objectives of this thesis is to evaluate and compare the potential capacity gains of decoupling to any other small cell in the scenario with respect to the macro cell, association that follows classical downlink received power policies. Decoupling uplink from the macro cell can improve as well the uplink outage, metric also evaluated and compared in this study. Moreover, there is a strong trend in research to empower multi-connectivity solutions, where one user has more than one uplink connection. We refer to this case as a dual connectivity scenario, and the uplink is further studied by allowing decoupled associations in dual connectivity scenarios. Dual connectivity in the uplink is highly controversial, since the user has limited power to share between two different access points. Therefore, a part from comparing the decoupled association performance with the downlink received power policies, this study compares the performance of multi-connectivity against having one single serving cell. In this case, comparison is done with respect to the best uplink serving cell. Results show that decoupling the access increases the capacity even if there are some SCells unreachable and presents great performance on DC scenario
Corporate Governance Memoderasi Pengaruh Manajemen Laba Riil terhadap Nilai Perusahaan

This study aims to examine the effect of real earnings management moderated by corporate governance with five indicators, namely managerial ownership, independent commissioners, institutional ownership, audit committee and leverage on firm value. The population used in this study were all manufacturing companies listed on the Indonesia Stock Exchange in 2018-2021. The sampling technique in this study used purposive sampling method, obtained 72 samples in the study from 217 companies from 2018-2021. The data used in this study are secondary data obtained from the company's annual financial statements published by the Indonesia Stock Exchange (IDX) and can be accessed through the website www.idx. co.id. The analysis method used is the SEM-PLS test method using SmartPLS software version 4.0. The results showed that real earnings management has a negative and significant effect on firm value and corporate governance does not weaken the effect of real earnings management on firm value.
Fecal Microbiota of Diarrhea-Predominant Irritable Bowel Syndrome Patients Causes Hepatic Inflammation of Germ-Free Rats and Berberine Reverses It Partially

Effects of the microbiome associated with diarrhea-predominant irritable bowel syndrome (IBS-D) on the gut have been reported, but no study has reported the effects of the IBS-D gut microbiome on the liver. We transplanted the fecal microbiota from an IBS-D patient and from a healthy volunteer to GF rats. The hepatic inflammation, serum biochemical parameters and metabolome, fecal microbiota profile, fecal short-chain fatty acids (SCFAs), and correlations among them before and after berberine intervention were assessed. Compared with the healthy control fecal microbiome transplantation (FMT) rats, the fecal microbiota of IBS-D patients induces significant Kupffer cell hyperplasia, hepatic sinusoid hypertrophy, and elevated levels of hepatic tumor necrosis factor-α and interferon-γ and decreases the synthesis of ALB in GF rats. This is possibly related to Faecalibacterium and Bifidobacterium attributable to fecal formate, acetate, and propionate levels, which are associated with the host linoleic acid pathway. Berberine can partially reverse the Kupffer cell hyperplasia, Faecalibacterium, fecal formate, acetate, and propionate by modulating the gut microbiome composition. These results may imply that IBS-D not only is an intestinal functional disorder but can cause liver inflammation, thus providing some implications regarding the clinical cognition and treatment of IBS-D.
Coefficient of Variation in Metastatic Lymph Nodes Determined by 18F-FDG PET/CT in Patients with Advanced NSCLC: Combination with Coefficient of Variation in Primary Tumors

Simple Summary Lung cancer is the leading cause of cancer-related death worldwide. The 18F-FDG PET/CT scan is used daily for the diagnosis and staging of lung cancer. The heterogeneity of 18F-FDG uptake inside tumor lesions may have prognostic implications for lung cancer patients. Therefore, we tested whether an index of heterogeneity such as the coefficient of variation (CoV), determined in both metastatic lymph nodes and primary tumors, can predict overall survival of lung cancer patients. We found that a combination of CoV of targeted lymph nodes with CoV of primary tumors in each patient provides a more accurate prognostic stratification of lung cancer allowing risk-adapted therapy in individual patients. Abstract Purpose The aim of the present study was to test whether the coefficient of variation (CoV) of 18F-FDG PET/CT images of metastatic lymph nodes and primary tumors may predict clinical outcome in patients with advanced non-small cell lung cancer (NSCLC). Materials and Methods Fifty-eight NSCLC patients who had undergone 18F-FDG PET/CT at diagnosis were evaluated. SUVmax, SUVmean, CoV, MTV and TLG were determined in targeted lymph nodes and corresponding primary tumors along with Total MTV (MTVTOT) and Whole-Body TLG (TLGWB) of all malignant lesions. Univariate analysis was performed using Cox proportional hazards regression whereas the Kaplan–Meier method and log-rank tests were used for survival analysis. Results Fifty-eight metastatic lymph nodes were analyzed and average values of SUVmax, SUVmean, CoV, MTV and TLG were 11.89 ± 8.54, 4.85 ± 1.90, 0.37 ± 0.16, 46.16 ± 99.59 mL and 256.84 ± 548.27 g, respectively, whereas in primary tumors they were 11.92 ± 6.21, 5.47 ± 2.34, 0.36 ± 0.14, 48.03 ± 64.45 mL and 285.21 ± 397.95 g, respectively. At univariate analysis, overall survival (OS) was predicted by SUVmax (p = 0.0363), SUVmean (p = 0.0200) and CoV (p = 0.0139) of targeted lymph nodes as well as by CoV of primary tumors (p = 0.0173), MTVTOT (p = 0.0007), TLGWB (p = 0.0129) and stage (p = 0.0122). Using Kaplan–Meier analysis, OS was significantly better in patients with CoV of targeted lymph nodes ≤ 0.29 than those with CoV > 0.29 (p = 0.0147), meanwhile patients with CoV of primary tumors > 0.38 had a better prognosis compared to those with CoV ≤ 0.38 (p = 0.0137). Finally, we combined the CoV values of targeted lymph nodes and primary tumors in all possible arrangements and a statistically significant difference was found among the four survival curves (p = 0.0133). In particular, patients with CoV of targeted lymph nodes ≤ 0.29 and CoV of primary tumors > 0.38 had the best prognosis. Conclusions The CoV of targeted lymph nodes combined with the CoV of primary tumors can predict prognosis of NSCLC patients.
High-Sensitivity Dielectric Resonator-Based Waveguide Sensor for Crack Detection on Metallic Surfaces

Crack detection on metallic surfaces is important for the inspection of critical metallic devices. In this paper, a high-sensitivity near-field waveguide sensor loaded with a dielectric resonator for metallic crack detection is demonstrated. Both the numerical and experimental results reveal that this dielectric resonator-based waveguide sensor can effectively detect cracks on a metallic surface. The maximum depth sensitivity is 0.71 GHz/mm and the maximum width sensitivity is 1.24 GHz/mm, resulting from the localized electric field energy on the dielectric resonator in the broad side of the waveguide sensor. This work will be of interest to the development of metallic crack detection and related applications.
Counselling Framework for Germline BRCA1/2 and PALB2 Carriers Considering Risk-Reducing Mastectomy

Female BRCA1/2 and PALB2 germline pathogenic variant carriers have an increased lifetime risk of breast cancer and may wish to consider risk-reducing mastectomy (RRM) for surgical prevention. Quantifying the residual lifetime risk and absolute benefit from RRM requires careful consideration of a patient’s age, pathogenic variant, and their personal history of breast or ovarian cancer. Historically, patients have been counselled that RRM does not necessarily prolong survival relative to high-risk surveillance, although recent studies suggest a possible survival benefit of RRM in BRCA1 carriers. The uptake of RRM has increased dramatically over the last several decades yet varies according to sociodemographic factors and geographic region. The increased adoption of nipple-sparing mastectomy techniques, ability to avoid axillary staging, and availability of reconstructive options for most germline pathogenic variant carriers has helped to minimize the morbidity of RRM. Preoperative discussions should include evidence regarding postmastectomy sensation, the potential for supplemental surgery, pregnancy-related chest wall changes, and the need for continued clinical surveillance. Approaches that include sensation preservation and robotic nipple-sparing mastectomy are an area of evolving research that may be more widely adopted in the future.
Hyaluronic acid-coated nanoemulsions loaded with a hydrophobic ion pair of all-trans retinoic acid for improving the anticancer activity

*Correspondence: G. Carneiro. Departamento de Farmácia, Faculdade de Ciências Biológicas e da Saúde, Universidade Federal dos Vales do Jequitinhonha e Mucuri. Rodovia MGT 367, Km 583, 39100-000 Diamantina, MG, Brazil. Phone: +55 38 3532-1200 * 8865 / FAX: +55 38 35321249. E-mail: guilherme. carneiro@ufvjm.edu. br / guifafar@yahoo.com. br. Hyaluronic acid-coated nanoemulsions loaded with a hydrophobic ion pair of all-trans retinoic acid for improving the anticancer activity
PBF-LB fabrication of microgrooves for induction of osteogenic differentiation of human mesenchymal stem cells

Stem cell differentiation has important implications for biomedical device design and tissue engineering. Recently, inherent material properties, including surface chemistry, stiffness, and topography, have been found to influence stem cell fate. Among these, surface topography is a key regulator of stem cells in contact with materials. The most important aspect of ideal bone tissue engineering is to control the organization of the bone extracellular matrix with fully differentiated osteoblasts. Here, we found that laser powder bed fusion (PBF-LB)-fabricated grooved surface inspired by the microstructure of bone, which induced human mesenchymal stem cell (hMSC) differentiation into the osteogenic lineage without any differentiation supplements. The periodic grooved structure was fabricated by PBF-LB which induced cell elongation facilitated by cytoskeletal tension along the grooves. This resulted in the upregulation of osteogenesis via Runx2 expression. The aligned hMSCs successfully differentiated into osteoblasts and further organized the bone mimetic-oriented extracellular matrix microstructure. Our results indicate that metal additive manufacturing technology has a great advantage in controlling stem cell fate into the osteogenic lineage, and in the construction of bone-mimetic microstructural organization. Our findings on material-induced stem cell differentiation under standard cell culture conditions open new avenues for the development of medical devices that realize the desired tissue regeneration mediated by regulated stem cell functions.
Insider Ownership and Firm Performance: Comparative Analysis based on Emerging Economy of Malaysia and Bangladesh

This study explores the correlation between insider ownership and firm performance, specifically examining senior management and non-executive director ownership, assessed through Return on Assets (ROA). Utilizing data from publicly listed firms in Malaysia and Bangladesh spanning 2010 to 2019, the research employs Generalized Method of Moments (GMM) regression using both linear and cubic models. The central aim is to evaluate the impact of insider ownership on firm performance. Findings indicate a predominantly positive association between insider ownership and firm performance, with a more pronounced effect observed in the Malaysian economy compared to Bangladesh. This disparity underscores the diversified influence of insider ownership on firm performance in the distinctive economic contexts of these emerging economies. These results contribute to the literature on ownership structure and firm performance, providing valuable insights for practitioners, policymakers, and academics. The comparative analysis between Malaysia and Bangladesh offers nuanced perspectives, forming a basis for further research and strategic decision-making in corporate governance.
Positioning analysis of the lift force sensor in subsonic wind tunnel test chamber design and its effect on naca0015 airfoil

In this study, analysis was carried out by placing the force sensor in different positions in the subsonic wind tunnel test room. NACA0015 profile was used as the airfoil. The model used in the open system subsonic wind tunnel with a 50x50 cm test chamber was manufactured by 3D printing method. Lift force (CL) measurements were studied at Reynolds number (Re) values of 60000, 80000 and 100000. Measurements were analyzed in one-degree increments of the angle of attack, starting from 00. The force device is positioned in 4 different ways around the test room. Efficient results could not be obtained in 3 of the connection attempts. The reason why the results are not efficient is that the fasteners are incompatible with the airfoil, force device and system. The incompatibility of the fasteners caused vibration and a negative situation in the airfoil. There is a slope in the connection made from the side. As a result of the slope, the airfoil has deteriorated. It was observed that the measurements made by positioning the force device inside the test chamber were compatible with the literature. The resulting graph shows an approach to the literature. Although it is graphically compatible, it should be noted that there is a deviation of approximately 10% in the data. Connection stiffness is gaining importance. It has been observed that stall begins at angles of approximately 100 and 110 degrees.
Generalized nesterov’s algorithm for constrained minimization problems on closed convex sets

In this paper, we propose a generalized Nesterov algorithm for the constrained optimization problems on a closed convex set. We prove the convergence as well as the convergence rate of the proposed algorithm. First, we present a new algorithm based on the generalization of Nesterov’s algorithm. Then, we prove the convergence as well as the convergence rate of the new algorithm. With a specific choice of parameters, the new algorithm becomes Nesterov’s algorithm. Therefore, the convergence as well as the convergence rate of Nesterov’s algorithm are also followed. We illustrate the effectiveness of the new algorithm as well as compare it with Nesterov’s algorithm and the gradient descent algorithm through a specific example.
Possible occurrence of apoptosis in Endosuifan induced testicular toxicity in mice

Endosuifan an organochlorine pesticide is known to cause deleterious effect on ttie reproductive organs of humans. In the present investigation, Endosuifan at 3.0 mg/kg b.w was administered to Swiss albino mice for 4 weeks. Animals were sacrificed and their testicular tissues were fixed for Transmission Electron microscopic study. The Electron microscopic study reveals the degenerative changes in testis at subcellular level. The plasma membrane, nuclear membrane, chromatin material and mitochondria, etc. show degenerative changes. It was concluded that Endosuifan causes damage to spermatozoa in Swiss albino mice.