Miracle-dz/UniFAR-FTUs huggingface dataset:
Pharmacological Activities of the Nelabevu/Bhunimba Aka Andrographis paniculata

Andrographis paniculata, commonly known as Nelabevu, Bhunimba, Chirayetah, Kalmegh, or Creat, is a plant with extensive traditional use in Asian medicines. Its historical application, particularly in conditions related to blood irregularities, has driven contemporary scientific investigations into its therapeutic potential. This review summarizes the diverse aspects of Andrographis paniculata's traditional uses and modern applications, covering its effectiveness in respiratory infections, hepatoprotection, cardiovascular effects, antimicrobial and anti-inflammatory activities, hypoglycemic effects, and reproductive influences. The plant's active constituents, such as andrographolide, flavonoids, and diterpenoids, contribute to its pharmacological actions. However, critical evaluation and further research are essential to confirm its clinical benefits and mechanisms of action. The extensive range of its effects and the multiple active compounds highlight the plant's significance in modern herbal medicine and warrant continued exploration.
Test Automation of DCS Controller’s Communication Interface

Modbus over TCP/IP has become one of the most utilised industrial protocols for networking critical infrastructure. It is crucial to test how the ABB 800xA DCS Controller's Modbus TCP/IP protocol functions at both the component-level and the functional-level. Whereas manual testing takes a lot of time to build up a test environment. For example connecting the hardware like end devices, launching the controller (which executes the settings and programs created in the DCS software), configuring the DCS software tool (which enables editing, compilation, testing, and downloading of the desired controller programs to the controller), developing or loading controller programs which has different configurations, modifying the application variables, and also manually providing the input values into the desired registers or coils using Modbus slaves. Therefore, there is a great need to automate the entire process so that it becomes less repetitious, more effective, and requires less human effort. After comparing some available tools, We decided on SpecFlow as the point of entry into the automation framework. By connecting business-readable behavioral needs to the actual implementation, this tool "seeks to narrow the interaction gap between domain-specific experts and developers," according to its description. Our approach takes an array of steps defined in the Gherkin language using the SpecFlow framework as its input and embeds them inside step definition files developed using the C# language and the.NET framework. Additionally, PyModbusTCP served as the Modbus slave in the above project, providing complete test automation. PyModbusTCP is a slave-generation library built on the Python programming language. The Modbus Client object is used to provide access to the Modbus/TCP server.
DEVELOPMENT OF INDEPENDENT COGNITIVE ACTIVITY OF HIGHER EDUCATION APPLICANTS IN TEACHING PHYSICS IN PEDAGOGICAL INSTITUTIONS OF HIGHER EDUCATION

In the educational process and in modern psychological and pedagogical science, and especially in the didactics of physics, the problem of forming an active personality of applicants for higher education is one of the most important and relevant, which requires a solution at the present stage. The purpose of the research is to determine the most effective means of developing the cognitive activity of higher education applicants in physics classes in pedagogical institutions of higher education. The article analyzes the problems of the educational process in the course of general physics in domestic pedagogical institutions of higher education. A psychological and pedagogical analysis of the selected definitions and their types (activity, cognitive activity, educational activity, research activity, action, etc.) is carried out.
Estimation of Spatial Gradients and Temporal Variations of the Total Electron Content Using Ground‐Based GNSS Measurements

Precision and safety of life applications of Global Navigation Satellite Systems require key information on space weather conditions in particular on the perturbation degree of the ionosphere. Such systems are particularly vulnerable against severe spatial gradients and rapid changes of the total electron content (TEC) measured along different satellite‐receiver links. To estimate spatial gradients and rapid temporal variations of ionospheric TEC, two approaches are discussed. The Gradient Ionosphere indeX (GIX) and the Sudden Ionospheric Disturbance indeX are able to estimate the perturbation degree of the ionosphere instantaneously without taking into account previous measurements. The capabilities and accuracy of the index approaches are demonstrated by simulations using a 3‐D electron density model of the ionosphere and plasmasphere in conjunction with realistic Global Navigation Satellite Signal constellations. Real data tests confirm the applicability of GIX and the related standard deviation GIX Sigma to monitor spatial gradients. Sudden Ionospheric Disturbance indeX is able to monitor rapid temporal variations of TEC as exemplified by using Global Navigation Satellite Signal measurements carried out during solar flare events. Both approaches could identify enhanced space weather impacts on precise point positioning and the European Geostationary Navigation Overlay Service. More comprehensive studies analyzing ionospheric storms in close dialogue with potential customers are needed to fully utilize the potential of these approaches to serve as objective ionospheric indices for scaling horizontal TEC gradients and rapid TEC variations in space weather services.
Assessing the performance of the simple noise chart method for construction noise prediction in earth-moving activity

Construction activity has long been associated with health problems caused by excessive noise exposure from the high noise emission machines. Indeed, predicting noise levels during the planning stages of a construction project can be challenging, particularly when considering complex and dynamic noise sources. This study aims to determine the accuracy and reliability of the simple prediction charts method in predicting construction noise. A case study of piling activity had been conducted at a construction site in Klang valley, Malaysia. The results showed that the average predicted noise levels were slightly higher than the actual measurements, but the highest absolute difference was only 0.9 dBA. The simple prediction charts can approximate the sound pressure level with high reliability with R2 values of 0.9959. These results show that the simple prediction charts can accurately and reliably predict construction noise levels, providing a useful tool for predicting the noise levels from earthmoving machines at any point of the construction site. With the help of these charts, construction noise practitioners can more easily anticipate and manage potential noise issues.
Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease

We sought to examine body composition using bioimpedance analysis in patients with metabolic dysfunction-associated fatty liver disease (MAFLD, 2014 males and 949 females). Factors linked to the fat-free mass index (FF index) were examined using univariate and multivariate analysis. An FF index < 18 kg/m2 in males and an FF index < 15 kg/m2 in females were defined as having decreased skeletal muscle mass. The median age and body mass index (BMI) were 55 years and 25.4 kg/m2 in males, and 57 years and 25.4 kg/m2 in females, respectively. The FF index strongly correlated with muscle mass index both in males (r = 0.999) and females (r = 0.999). The prevalence of patients with an FF index < 18 kg/m2 in males and an FF index < 15 kg/m2 in females was well stratified according to age, BMI, severity of FL, and FIB4 index. In the males, in the multivariate analysis, BMI (p < 0.0001), fat mass index (p < 0.0001), and waist circumference (p = 0.0050) were found to be significant factors linked to FF index. In the females, in the multivariate analysis, BMI (p < 0.0001) and fat mass index (p < 0.0001) were found to be significant. In conclusion, fat accumulation as reflected by BMI, which is an easily available marker, could be a useful indicator for the skeletal muscle mass in MAFLD.
Evaluation of antioxidant status and lipid peroxidation in dogs with myxomatous mitral valve degeneration stage B1

Myxomatous mitral valve degeneration (MMVD) is the most common naturally occurring heart disease in dogs. There is a lack of data on antioxidant status and oxidative damage in dogs with MMVD stage B1 according to the American College of Veterinary Internal Medicine (ACVIM B1). The aim of this study was to investigate antioxidant status (plasma vitamin E, lipid-standardized vitamin E (LS-VitE), antioxidant capacity of lipid-(ACL) and water-soluble antioxidants, whole blood glutathione peroxidase and erythrocyte superoxide dismutase), and lipid peroxidation [malondialdehyde (MDA)] in dogs with MMVD ACVIM B1. Serum cholesterol and triglyceride concentrations were measured to calculate LS-VitE. Fourteen dogs with MMVD ACVIM B1 and 12 control dogs were included in the study. Dogs with MMVD had significantly higher vitamin E, ACL, MDA, and cholesterol concentrations and significantly higher LS-VitE values than control dogs. No significant correlations between MDA and antioxidant parameters were determined in either group. In conclusion, oxidative damage to lipids is already present and the antioxidant status is altered but not depleted in dogs with MMVD ACVIM B1. The antioxidant response to increased oxidative damage consists mainly of the activation of fat-soluble antioxidants. Further research is needed to evaluate the efficacy and targets of early antioxidant supplementation to prevent or ameliorate oxidative stress and mitigate disease progression in dogs with early-stage MMVD.
DÉFORMATION ET TRANSPORT D’UN FILAMENT ÉLASTIQUE DANS UN ÉCOULEMENT CELLULAIRE VISQUEUX

Ce travail porte sur l’etude de la deformation et le transport d’un filament elastique dans un ecoulement cellulaire visqueux. Pour cette etude nous avons utilise un systeme experimental modele simple constitue d’un filament elastique centimetrique de geometrie et d’elasticite controlees et d’un ecoulement constitue d’un reseau de points de stagnation.Dans un premier temps, nous avons caracterise l’instabilite de flambage du filament a l’approche d’un point de stagnation. Nous avons ainsi montre que cette instabilite est controlee par le nombre elasto-visqueux Sp qui compare l’intensite relative des forces visqueuses qui tendent a deformer le filament et des forces elastiques qui cherchent a le maintenir droit.Nous avons ensuite mis en evidence que les parametres lies a la dynamique de la fibre evoluant librement a la surface de l’ecoulement sont des parametres cruciaux determinant si le filament flambe ou pas a l’approche d’un point de stagnation. Cette analyse s’est aussi appuyee sur des simulations numeriques modelisant le meme systeme en collaboration avec Michael Shelley. La caracterisation de ces differents parametres et de leur influence sur l’instabilite de flambage permet ainsi la prediction de l’existence ou non d’un evenement de flambage a partir du nombre elasto-visqueux Sp et des parametres dynamiques du filament.Enfin nous nous sommes interesses a la maniere dont la deformation du filament et sa taille influent sur ses proprietes de transport.
Acoustic levitation and manipulation by a high-frequency focused ring ultrasonic transducer

Recently, acoustic levitation for non-contact micro-particle manipulation has been attracting great interest in physical, biological, and medical applications. Among the state-of-the-art manipulation technologies, single beam acoustic tweezing exhibits advantages of providing stronger trapping force and deeper penetration depth in tissues, inducing less tissue damage, and a simple configuration involving only one device. However, particle trapping by the single beam acoustic tweezer could only be operated on a smooth two-dimensional substrate, which limits the potential for real applications. Here, we report an initial attempt to acoustically levitate an individual micro-particle stably in water and manipulate the levitated micro-particle arbitrarily two-dimensionally by simply employing a 60-MHz focused ring ultrasonic transducer. The proposed working mechanism agrees well with the phenomenon. This approach could not only acoustically levitate and manipulate a micro-particle on a culture dish and on a mylar film, but could also work properly in levitating and manipulating a micro-particle placed inside the polyimide tube. This simple and low-cost approach is extremely useful for effective non-contact micro-particle manipulation without having critical concerns on the substrate properties.
Pantoprazole-Induced Bone Loss through Gastrin Secretion: A Stereological Study

Background Recent researches have failed to uncover a clear explanation for proton pump inhibitors' bone-loss effects. In light of pantoprazole's effects on gastrin secretion, the goal of this study was to see if it caused bone loss through gastrin secretion. Methods Forty male rats were divided into control, octreotide (Oct), pantoprazole (Pan), and pantoprazole plus octreotide (Pan+Oct) groups. Serum calcium, phosphorous, alkaline phosphatase, parathyroid hormone, and gastrin were measured before and three months after the treatment, and bone densitometry was examined. The rats' femoral bones were examined stereologically at the end of the investigation. Results The Pan group had considerably greater levels of serum alkaline phosphatase, parathyroid hormone (PTH), and gastrin, but this was prevented in the presence of Oct, a gastrin secretion inhibitor. All parameters of femoral bone densitometry in the Pan group were significantly lower than the control after treatment which was considerably inhibited in the presence of Oct. Furthermore, when compared to the control and Oct groups, the rats in the Pan group had a lower trabecular volume, femur bone weight, and volume, as well lower number of osteocytes. The amount of osteoclasts, on the other hand, was much higher in the Pan group than in the other groups. Conclusion Overall findings revealed that pantoprazole caused bone loss, which could be prevented by adding octreotide. Because these detrimental effects were not detected in rats given both Oct and Pan, it was suggested that the effect of Pan on bone was produced by a hypergastrinemic condition.
Subpolar Atlantic Glider Surveys

Abstract : Our long-term goal is to understand the thermohaline circulation of the high latitude Atlantic Ocean and its role in climate. The objective of this project is to extend knowledge of deep convection in general and Labrador and Irminger Sea circulation through the regular and deliberate survey of these regions over an annual cycle.
Recent advances in the improvement of soybean seed traits by genome editing

Genetic improvement of soybean seed traits is important for developing new varieties that meet the demand for soybean as a food, forage crop, and industrial products. A large number of soybean genome sequences are currently publicly available. This genome sequence information provides a significant opportunity to design genomic approaches to improve soybean traits. Genome editing represents a major advancement in biotechnology. The production of soybean mutants through genome editing is commonly achieved with either an Agrobacterium-mediated or biolistic transformation platform, which have been optimized for various soybean genotypes. Currently, the clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated endonuclease 9 (Cas9) system, which represents a major advance in genome editing, is used to improve soybean traits, such as fatty acid composition, protein content and composition, flavor, digestibility, size, and seed-coat color. In this review, we summarize the recent advances in the improvement of soybean seed traits through genome editing. We also discuss the characteristics of genome editing using the CRISPR/Cas9 system with transformation platforms.
Multispectral Image Processing and Pattern Recognition

Introduction, J. Shen et al 3D articulated object understanding, learning and recognition from 2D images, P.S. P. Wang on geometric and orthogonal moments, J. Shen et al multispectral image processing - the nature factor, W.R. Watkins detection of sea surface small targets in infrared images based on multilevel filter and minimum risk Bayes test, Y. -S. Moon et al minimum description length method for facet matching, S. Maybank and R. Fraile an integrated vision system for ALV navigation, X. Ye et al fuzzy Bayesian networks - a general formalism for representation, inference and learning with hybrid Bayesian networks, H. Pan and L. Liu extraction of bibliography information based on image of book cover, H. Yang et al radar target recognition based on parametrized high resolution range profiles, X. Liao and Z. Bao.
Machine Learning-Based Model Predictive Control of Two-Time-Scale Systems

In this study, we present a general form of nonlinear two-time-scale systems, where singular perturbation analysis is used to separate the dynamics of the slow and fast subsystems. Machine learning techniques are utilized to approximate the dynamics of both subsystems. Specifically, a recurrent neural network (RNN) and a feedforward neural network (FNN) are used to predict the slow and fast state vectors, respectively. Moreover, we investigate the generalization error bounds for these machine learning models approximating the dynamics of two-time-scale systems. Next, under the assumption that the fast states are asymptotically stable, our focus shifts toward designing a Lyapunov-based model predictive control (LMPC) scheme that exclusively employs the RNN to predict the dynamics of the slow states. Additionally, we derive sufficient conditions to guarantee the closed-loop stability of the system under the sample-and-hold implementation of the controller. A nonlinear chemical process example is used to demonstrate the theory. In particular, two RNN models are constructed: one to model the full two-time-scale system and the other to predict solely the slow state vector. Both models are integrated within the LMPC scheme, and we compare their closed-loop performance while assessing the computational time required to execute the LMPC optimization problem.
NLP based model to convert English speech to Gujarati text for deaf & dumb people

NLP (Natural Language Processing) is a use for process Hu-man Language. It is a combination of language and Artificial Intelligence. This paper is helpful to understand about social neuroscience, Translation, speech to text, NLP levels, challenges and Applications of NLP. Deaf and Dumb people of Gujarat use a Gujarati Language as a speech or sign language, therefore there is a need of translating English to Gujarati to help the people to understand the context of the language.Translation of study findings must be done carefully in order to enable the impact of neuroscientific insights on our everyday lives Deaf and Dumb people use Sign Language for communication, as Normal peopleuses a Speech So This paper includes various sign language and speech recognition module for converting Speech -> text -> sign. It includes Speech recognition API like apiai, assemblyai, google-cloud-speech, pocketsphinx, SpeechRecognition, watson-developer-cloud and wit. It represents the development and testing of speech to text and text to speech mechanism with python code. Translation of study findings must be done carefully in order to enable the impact of neuroscientific insights on our everyday lives. It implements English speech by speech recognition API and translates in a Gujarati text. This paper analyze the Precision, Accuracy and Recall on speech to text Datasets. It gives 96% Precision, 83% Recall and 83% Accuracy.
Sensory stimulations potentializing digital therapeutics pain control

For the past two decades, using Digital Therapeutics (DTx) to counter painful symptoms has emerged as a novel pain relief strategy. Several studies report that DTx significantly diminish pain while compensating for the limitations of pharmacological analgesics (e.g., addiction, side effects). Virtual reality (VR) is a major component of the most effective DTx for pain reduction. Notably, various stimuli (e.g., auditory, visual) appear to be frequently associated with VR in DTx. This review aims to compare the hypoalgesic power of specific stimuli with or without a VR environment. First, this review will briefly describe VR technology and known elements related to its hypoalgesic effect. Second, it will non-exhaustively list various stimuli known to have a hypoalgesic effect on pain independent of the immersive environment. Finally, this review will focus on studies that investigate a possible potentialized effect on pain reduction of these stimuli in a VR environment.
SOCIAL PREFERENCE OF FOUR CROSS-FOSTER REARED SANDHILL CRANES

Four greater sandhill cranes (Grus canadensis tabida) were hatched and reared individually by 4 non-sandhill crane pairs: 2 by white-naped crane (G. vipio) pairs, 1 by a Siberian crane (G. leucogeranus) pair, and 1 by a red-crowned crane (G. japonensis) pair. After 1 year the sandhill cranes (2 male and 2 female) were placed in enclosed pens adjacent to an oppositesexed, same-age bird of the foster species on 1 side and an opposite-sexed, same-age conspecific on the other side. Data were collected throughout 1 year and included proximity between test and choice birds and behaviors displayed. Each test bird socialized with the foster species more than with a conspecific. This preference was much more apparent for females than for males.
ALDH1A Inhibition Suppresses Colitis and Alters α4β7 Integrin Expression on Activated T Cells in Mdr1a−/− Mice

There are limited pharmacological treatment options for inflammatory bowel disease (IBD), and some of these options are expensive and administered by injection or infusion. Thus, new cheaper and easier (oral) treatment options are needed. ALDH1A enzymes produce retinoic acid that can affect intestinal diseases such as IBD by regulating immune cells in the gut. We previously demonstrated that an orally deliverable ALDH1A inhibitor, WIN 18,466, can suppress colitis in an acute mouse model of IBD. Here, we tested the efficacy of ALDH1A inhibition in a chronic mouse model of IBD. Mdr1a−/− mice were treated with a diet containing WIN 18,446 starting 1 week prior to inducing colitis by H. bilis inoculation. Treatment was continued until the study end point and colitis was monitored based on clinical symptoms and confirmed by histological analysis. Immune cell phenotypes in colon-draining lymph nodes (cMLN) were analyzed. WIN 18,446 treatment reduced clinical symptoms and improved histopathologic colitis scores. This was associated with decreased expression of the gut homing integrin, α4β7, on T cells in cMLN; increased expression of CD103, a protein associated with tissue-resident memory T cells; and changes in dendritic cells, plasmacytoid dendritic cells and B cells in inhibitor-treated mice. ALDH1A inhibition broadly influences immune cells during colitis and is a potential new target for IBD treatment. Future studies will be needed to determine the efficacy of ALDH1A inhibition on active colitis and to evaluate its relative efficacy in comparison to approved drugs.