Miracle-dz/UniFAR-FTUs huggingface dataset:
Unsupervised texture feature classification based on cuckoo search and relief algorithm

Gabor filters and K-means algorithm are two commonly used texture analysis methods. However, the texture feature vector has a high dimension by using Gabor filters, which will influence the operating efficiency. Meanwhile, K-means algorithm is affected by the initial clustering centers, and it may lead to the decrease of classification accuracy. Hence, Relief algorithm is applied to make a feature selection for Gabor texture feature, and obtain a suitable texture feature sunset. Furthermore, cuckoo search is used to optimize the clustering center of K-means algorithm, and enhance the accuracy and efficiency of texture recognition. Experimental results demonstrate the effectiveness of the proposed method.
Economic Analysis of litchi Production in Muzaffarpur District of Bihar

"The Study was carried out with an objective to estimate cost and returns of Litchi under different size of sample farms in Muzaffarpur District of Bihar. The empirical data were gathered from agriculture year 2018- 19 during production period of litchi through survey of litchi growers’. The multistage sampling techniques were used to select the location/ area where abundantly litchi orchard occupied and their respondents’ for required information. Thus, a total 90 litchi growers (8 marginal, 18 small, 46 semi- medium and 18 medium) were selected with equal chance or opportunity of all farms categories in groups from 2 blocks from six selected villages of the Muzffarpur district of Bihar. The gross value of the litchi production on overall farms was estimated on an average in ` 2.95 lakhs per hectare against cost C as well as annual maintenance costs was in ` 65.93 thousand per hectare. The costs of production of litchi on overall farms was accounted on an average to be in ` 941.52 per quintal litchi, which were varies from ` 1197.58 per quintal litchi and estimated higher on marginal farms, followed by ` 1045.77 per quintal on small farms, ` 898.75 per quintal on semi-medium farm, and ` 872.97 per quintal on medium farms. Result revealed that cost of production of litchi decreased with increase in land owner farm groups. The establishment (first to fifth year’s i.e. juvenile stage) costs of litchi orchard on overall farms were estimated to be ` 2.56 lakhs and further estimated amortized costs on an average was ` 1329.37 per hectare. The establishment and annual maintenance cost both were included fixed costs increases with increase in land possession of farms groups, but variable cost include in total costs (fixed and variable cost) were reduced with increase in land holding farms groups. The NPV of overall farms were on an average in ` 6.21 lakh, benefit-cost ratio (BCR) in ` 2.77 against one rupee spend. Internal rate of returns (IRR) value was obtained 25.64 percent greater than chosen discount rate as 15 and 20 per cent to make the decision about reinvestment opportunity to prioritize the area of reinvestment by litchi growers. "
Histopathological Variants and Molecular Subtypes of Carcinoma Breast in a Tertiary Care Centre, Kerala, India: A Cross-sectional Study

Introduction: Breast cancer is the second leading cause of cancer deaths in women after lung cancer. Breast cancer survival varies by racial and ethnic factors, stage at diagnosis, tumour grade, molecular subtypes and the treatment received. Molecular subtyping provides prognostic and predictive information about the risk of recurrence and is an essential tool in formulating guidelines in therapy. Aim: To identify the histopathological variants of Carcinoma (Ca) breast in women and to determine the various molecular subtypes by Immunohistochemistry (IHC). Materials and Methods: A cross-sectional study from January 2019 to December 2020 was done on 100 cases of invasive carcinoma breast at the Department of Pathology in a tertiary care center of Government Medical College, Ernakulam, Kerala. IHC was done on paraffin processed tissue sections of tumour using anti-Oestrogen Receptor (ER), anti-Progesterone Receptor (PR), anti-Human Epidermal growth factor Receptor 2 (HER2/ neu) and Ki-67 antibodies. Molecular subtypes of Luminal-A, Luminal-B, HER2 enriched and triple negative (basal-like) were determined. The association between molecular subtypes and tumour grade, size, stage was analysed using IBM Statistical Package for the Social Sciences (SPSS) version 21.0 software. Chi-square test used for categorical variables, p-value <0.05 assumed to be significant. Results: Total 100 female cases of invasive carcinoma breast with mean age 49.3±12.2 years were included. Histologic subtypes of carcinoma were: Invasive Ductal Carcinoma (IDC) of No Special Type (NST) (89%), Invasive Lobular Carcinoma (ILC) (1%), Invasive ductal with Lobular carcinoma (IDC-L) (1%), metaplastic (2%), papillary (4%), IDC with medullary like features (3%). Tumour size was pT1 in 27%, pT2 in 38%, pT3 in 33%, pT4 in 2%. Tumour grades were: grade-I (28%), grade-II (29%) and grade-III (43%). Lymph node metastasis was seen in 52% cases. Positive expression of Oestrogen (ER) in 46%, Progesterone (PR) in 38%, HER2/neu in 23% and low Ki-67 labeling index (<14%) in 32% cases were observed. The molecular subtypes were Luminal-A (32%), Luminal-B (14%), HER2 enriched (16%) and triple negative (38%) in the present study. Conclusion: The most common molecular subtype was triple negative. Luminal-A subtype was associated with lower histologic grade and non luminal subtypes were associated with higher histologic grades. To determine molecular subtypes, IHC is useful as a surrogate for molecular testing.
A bootstrap bias correction of long run fourth order moment estimation in the CUSUM of squares test

ABSTRACT The aim of this paper is to propose a bias correction of the estimation of the long run fourth order moment in the CUSUM of squares test proposed in Sansó et al. [Testing for change in the unconditional variance of financial time series. Rev Econ Financ. 2004;4(1):32–53] for the detection of structural breaks in financial data. The correction is made by using the stationary bootstrap. The choice of this resampling technique is justified by the stationarity and weak dependence of the time series under the assumptions which ensure the existence of the limiting distribution of the test statistic, under the null hypothesis. Monte Carlo experiments have been implemented to evaluate the effect of the proposed bias correction considering two particular data generating processes, the GARCH(1,1) and the log-Normal Stochastic Volatility. The effectiveness of the bias correction has been evaluated also on real data sets.
LncRNA HOTAIR Enhances Epithelial-to-mesenchymal Transition to Promote the Migration and Invasion of Liver Cancer by Regulating NUAK1 via Epigenetic Inhibition miR-145-5p Expression

LncRNA HOTAIR play important roles in the epigenetic regulation of carcinogenesis and progression in liver cancer. Previous studies suggest that the overexpression of HOTAIR predicts poor prognosis. In this study, through transcriptome sequencing data and in vitro experiments, we found that HOTAIR were more highly expressed and there is significantly positive relationship between HOTAIR and NUAK1 in liver cancer tissues and cell lines. miR-145-5p was downregulated and showed negative correlation with HOTAIR and NUAK1. Transfect Sh-HOTAIR, LZRS-HOTAIR, miR-145 mimic, miR-145 inhibitor to change the expression of HOTAIR and miR-145-5p. The addition of HTH-01-015 inhibits the expression of NUAK1. HOTAIR knockdown, miR-145-5p upregulation and NUAK1 inhibition all repressed migration, invasion and metastasis and reversed the epithelial-to-mesenchymal transition in SNU-387 and HepG2 cells. We also showed that HOTAIR recruiting and binding PRC2 (EZH2) epigenetically represses miR-145-5p, which controls the target NUAK1, thus contributing to liver cancer cell-EMT process and accelerating tumor metastasis. Moreover, it is demonstrated that HOTAIR crosstalk with miR-145-5p/NUAK1 during epigenetic regulation. Our findings indicate that HOTAIR/miR-145-5p/NUAK1 axis acts as an EMT regulator and may be candidate prognostic biomarker and targets for new therapies in liver cancer.
Vision Sensor Assisted Fire Detection in IoT Environment using ConvNext

To mitigate social, ecological, and financial damage, effective fire detection and control are crucial. Performing real-time fire detection in Internet of Things (IoT) environments, however, presents significant challenges due to limited storage, transmission, and computational resources. Early fire detection and automated response are essential for addressing these challenges. In this paper, we introduce an IoT-supported deep learning model designed for efficient fire detection. The proposed model builds upon the pre-trained weights of the ConvNext convolutional neural network, which excels at detecting minute features and distinguishing between yellow lights and fire patterns. Implemented on an IoT device, the system triggers an alert when a fire is detected, prompting necessary actions. Our method, tested on the forest fire dataset, demonstrated a 4% improvement in accuracy compared to existing deep learning models for fire detection.
Method of Video Transcoding from MPEG-2 to HEVC with Picture Structure Information

: A method is presented for transcoding from MPEG-2 to HEVC by using picture structure information. One of the main issues in the process of transcoding from MPEG-2 to HEVC is the efficiency of HEVC encoding. For HEVC encoding, a hierarchy picture structure called a random-access mode is usually used for high efficiency coding; however, the random-access mode may not always be the best structure for transcoding from MPEG-2 to HEVC. We propose some picture structures using MPEG-2 stream information. The experimental results show that the information on the picture coding structure in the MPEG-2 video stream is useful for transcoding MPEG-2 to HEVC. The proposed method with hierarchy picture structure using the MPEG-2 structure information reduced bitrate by 7.1% in the transcoding experiments.
Analisis Sentimen Pada Perusahaan Penyedia Jasa Logistik J&T Menggunakan Algoritma Multinomial Naive Bayes dan Support Vector Machine

Online shopping is a way to a faster and easier process of buying things or needs for people these days. Logistic services are essential in the process of buying things online, for they will be the one who ship the package to the buyer. PT. Global Jet Express or J&T is one of many logistics service provider company that are available in Indonesia. J&T has a Twitter account which is used for communicating with their customers. Opinions that were posted by J&T consumers on Twitter could be used as a data to do sentiment analysis which the purpose is to extract information that are told by people in Twitter about J&T. Data crawling was done for 15.000 tweets that were posted during the period of 4th to 10th of July 2022, duplicated tweets and those who has the exact same contents were removed resulting the data reduced to 2500 tweets. Tweets will be divided into two class; positive class and negative class Some classification methods are commonly used in text classification, such as Random Forest, Decision Tree, Naïve Bayes Classifier, Support Vector Machine etc. Data in this research will be classified using Multinomial Naïve Bayes and Support Vector Machine to compare their accuracy, the reason for the comparison is these methods have significant difference in their concept complexity. Multinomial Naïve Bayes classify data by finding the greatest conditional probability value, whilst Support Vector Machine classify data by finding the best hyperplane to divide into two class. Multinomial Naïve Bayes has the accuracy of 72,80% and Support Vector Machine has the accuracy of 82,40%. Based on their accuracy, Support Vector Machine has the best performance in classifying public opinions about J&T on Twitter.
Asymptotic behavior of solutions of nonlinear systems with multiple imaginary eigenvalues

The paper is devoted to the analysis of the decay rate of solutions of a nonlinear system with two pairs of purely imaginary eigenvalues. The main result is the power estimate for the norm of solutions. It is proven that the order of such estimate varies for cases of a diagonalizable matrix of linear approximation, and for a matrix containing a Jordan block. Another result of this work provides sufficient asymptotic stability conditions regardless of forms higher than the third order. (© 2016 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Hydro-thermal flows in a rough fracture

Heat exchange during laminar flow is studied at the fracture scale on the basis of the Stokes equation. We used a synthetic aperture model (a self-affine model) that has been shown to be a realistic geometrical description of the fracture morphology. We developed a numerical modelling using a finite difference scheme of the hydrodynamic flow and its coupling with an advection/conduction description of the fluid heat. As a first step, temperature within the surrounding rock is supposed to be constant. Influence of the fracture roughness on the heat flux through the wall, is estimated and a thermalization length is shown to emerge. Implications for the Soultz-sous-Forets geothermal project are discussed.
Airflow Field and Shelter Effect Around Flexible Plants Using Fluid‐Structure Interaction (FSI)‐Large‐Eddy‐Simulation (LES) Simulations

Vegetative windbreaks have a significant advantage in regulating microclimates and improving soil conditions. Some studies highlight the importance of turbulence and plant flexibility, but few has investigated the relationship between flexibility and the shelter effect of windbreaks. Therefore, we perform a series of 3D fluid‐structure interaction (FSI)‐large‐eddy‐simulation (LES) simulations to study the airflow passing through flexible single‐plant windbreaks. We first model the plants with branches according to their geometric features in the field, present a FSI solver to strongly couple the airflow velocity field and windbreak vibration, and then use a LES turbulent model to resolve the turbulent flows. Based on the simulations, the airflow fields around the plants (Plant #1 and Plant #2) with different flexibilities, evaluated by Young's modulus, were analyzed and compared. Afterward, the shelter effect of flexible plants is analyzed based on three indices, including turbulence intensity, surface shear stress and plant swing displacement. The peak turbulence intensity of the three plants follows the order Plant #1 > Plant #2 > rigid plant. Regardless of wind speed, the surface shear stress around the plants follows the order Plant #1 < Plant #2 < rigid plant. The swing displacement increases as the velocity and flexibility increase. It is concluded that the flexible plant has a better shelter effect than the rigid plant, and within a certain range, the stronger the flexibility of the plant is, the better its shelter effect. This study not only investigates the interaction mechanism between flexible plants and airflow, but also provides a theoretical reference for the application of flexible plants in wind protection engineering.
On the Comparison of Computed Cloud Mass Fluxes with Observations over the GATE Area

The cumulus mass flux obtained by the diagnostic analysis is verified by using digital SMS-1 IR brightness data and precipitation calculated from radar measurements. The time variations of the cloud mass flux due to deep clouds correlate quite well with those of IR brightness and precipitation. The precipitation calculated from the model is comparable to that observed. Relationships of the cloud mass flux, IR brightness and precipitation to the African wave disturbance are also discussed.
Oxytocin: An expansive review of its mechanisms, functions, and therapeutic potential

Oxytocin, a neuropeptide crucial for social bonding and reproduction, has captivated scientific interest due to its diverse mechanisms, physiological effects, and therapeutic promise. This review provides a comprehensive overview, covering oxytocin's molecular actions, physiological functions, and therapeutic applications. At the molecular level, oxytocin activates specific receptors, influencing neuronal activity and neurotransmitter release, impacting social behavior like trust and empathy. Beyond its role in childbirth and lactation, it affects cardiovascular, gastrointestinal, and immune systems, and may have implications in stress regulation, pain modulation, and addiction pathways, broadening its therapeutic potential. Oxytocin's multifaceted effects have positioned it as a promising treatment for psychiatric, neurodevelopmental, and neurodegenerative disorders. Studies have shown promise in conditions like autism spectrum disorders, social anxiety, postpartum depression, and schizophrenia, while also improving social cognition and reducing addictive behaviors. Despite accumulating evidence, challenges remain in harnessing oxytocin's full clinical benefits, including individual response variations, optimal dosing, and potential side effects. Further research is needed to refine its application in different contexts. In conclusion, oxytocin's diverse mechanisms and functions make it a captivating molecule. Research and well-designed studies hold the promise of unlocking its full therapeutic potential, benefiting individuals across various disorders and promoting healthier social interactions.
Treatment of Erythrodermic Psoriasis in Children with Secukinumab: A Case Report

Abstract Erythrodermic psoriasis (EP) is a rare and severe type of psoriasis. Common systemic therapies for children with EP include treatment with glucocorticoids, cyclosporine, acitretin, and methotrexate. Although these drugs are effective, they may cause serious side effects to children. Secukinumab has recently demonstrated efficacy in treating plaque psoriasis, but its efficacy in EP children remains unknown. We report a case of a seven-year-old patient who transitioned from generalized pustular psoriasis (GPP) to EP after routine systemic drug treatment. The patient was then treated with secukinumab. The patient’s condition improved noticeably within 48 hours after the first injection. After the fifth injection, she almost completely cleared her skin lesions and achieved Psoriasis Area and Severity Index 90 (PASI 90) scores. During this period, she experienced only one respiratory infection. She completed all 11 doses of secukinumab by October 14, 2022, with no new rash (PASI 100) and no adverse drug reactions. Follow-up observation on March 15, 2023, showed no new rash (PASI 100) and no adverse reactions after medication withdrawal. This case suggests that it may also be effective in treating children with EP.
Application of Genetic Algorithm and Particle Swarm Optimization techniques for improved image steganography systems

Abstract Image steganography is one of the ever growing computational approaches which has found its application in many fields. The frequency domain techniques are highly preferred for image steganography applications. However, there are significant drawbacks associated with these techniques. In transform based approaches, the secret data is embedded in random manner in the transform coefficients of the cover image. These transform coefficients may not be optimal in terms of the stego image quality and embedding capacity. In this work, the application of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) have been explored in the context of determining the optimal coefficients in these transforms. Frequency domain transforms such as Bandelet Transform (BT) and Finite Ridgelet Transform (FRIT) are used in combination with GA and PSO to improve the efficiency of the image steganography system.
GROWTH DYNAMICS AND MUNICIPAL POPULATION CHANGE IN AUSTRALIA, 1911-2016

: In Australia, empirical analyses of municipal populations are uncommon given its cities are usually conceived of as metropolitan areas. Widespread usage of metropolitan statistics is practical; however, municipal perspectives engage with the machinery of government and can reveal complementary insights about cities as institutions. To develop such insights, this study utilised a statistical model of Australian municipal populations to examine the drivers of growth from 1911 to 2016. Statistically significant long-term positive relationships were identified between population and location specific features such as being coastal, eastern, and near to a seaport or state parliament. The constant and strong involvement of political factors is noteworthy given they are less recognised drivers of settlement. The findings of this paper, which partly elucidate drivers of population growth in Australia, have major implications for the federal government’s plan to steer anticipated high population growth into regional centres.
Insertion de détail dans des figures autosimilaires

This paper deals with the approximation of natural objects using a fractal model equipped with a detail concept like wavelet transforms. The fractal model is a projected Iterated Function System (IFS) model. This model unifies the IFS model and a classical model used in computer graphics (free form representation with control points). The concept of wavelet transforms is used for adding a detail part to the fractal model. The approximation problem has a two steps formulation : a nonlinear fitting optimisation of the fractal model and a linear transform for the computation of the detail coefficients. We have used this approximation method to approximate two leaves border. Then, the detail concept has been used to transfer the geometric texture from one leaf to another, and also to amplify these geometric details.
Exploration of the Practical Development of Quantum Communication

: With the development of technology, quantum technology with enormous military value has become a key technology related to national information security in the application and development of communication systems. The application of quantum communication technology in military and civilian research is of great significance for China’s future information network construction, as well as the safety of people’s lives and property. One need to increase investment in technology, increase investment in technology, and establish a sound policy system and institutional mechanisms. Only by increasing the promotion of this project can one further promote the development of military civilian integration of quantum communication technology in China and gradually establish a strong quantum communication information network. This article introduced the principles and development of quantum communication, and verified through simulation experiments that quantum technology communication has a lower bit error rate and better performance compared to traditional communication systems.
A telescope with augmented reality functions

This study introduces a telescope with virtual reality (VR) and augmented reality (AR) functions. In this telescope, information on the micro-display screen is integrated to the reticule of telescope through a beam splitter and is then received by the observer. The design and analysis of telescope optical system with AR and VR ability is accomplished and the opto-mechanical structure is designed. Finally, a proof-of-concept prototype is fabricated and demonstrated. The telescope has an exit pupil diameter of 6 mm at an eye relief of 19 mm, 6° field of view, 5 to 8 times visual magnification , and a 30° field of view of the virtual image.