Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors influencing the meridional width of the equatorial deep jets

Abstract. Equatorial deep jets (EDJs) are vertically alternating, stacked zonal currents that flow along the Equator in all three ocean basins at intermediate depth. Their structure can be described quite well by the sum of high-baroclinic-mode equatorial Kelvin and Rossby waves. However, the EDJ meridional width is larger by a factor of 1.5 than inviscid theory predicts for such waves. Here, we use a set of idealised model configurations representing the Atlantic Ocean to investigate the contributions of different processes to the enhanced EDJ width. Corroborated by the analysis of shipboard velocity sections, we show that widening of the EDJs by momentum loss due to irreversible mixing or other processes contributes more to their enhanced time mean width than averaging over meandering of the jets. Most of the widening due to meandering can be attributed to the strength of intraseasonal variability in the jets' depth range, suggesting that the jets are meridionally advected by intraseasonal waves. A slightly weaker connection to intraseasonal variability is found for the EDJ widening by momentum loss. These results enhance our understanding of the dynamics of the EDJs and, more generally, of equatorial waves in the deep ocean.
Development and Evaluation of Nanoformulations Containing Timur Oil and Rosemary Oil for Treatment of Topical Fungal Infections

The pervasiveness of fungal infections is an issue for skin health globally, and there are a reported 40 million cases in developed and developing countries. Novel drug delivery systems provide better therapeutic efficacy over conventional drug therapy due to their lower side effects and toxicity. Furthermore, combinations of essential oils can represent alternative therapies for fungal infections that are resistant to synthetic drugs. This study is aimed at developing Timur oil into a nanoemulgel and evaluating its antifungal effects. The development of the formulation involved the preparation of a nanoemulsion by the titration method, followed by its evaluation for various physicochemical properties. The antifungal activity of the nanoemulgel against Candida albicans was evaluated. The zone of inhibition was determined using the disk diffusion method. The results show that the developed nanoemulgel has a particle size of 139 ± 6.11 nm, a PDI of 0.309, and a zeta potential of −19.12 ± 2.73 mV. An in vitro drug release study showed a sustained release of 70 ± 0.289% of the drug over a period of 24 h. The % drug permeation across the skin was found to be 79.11 ± 0.319% over 24 h. However, the amount of drug retained in the skin was 56.45 µg/g. The flux for the nanoemulgel was found to be 94.947 µg/cm2/h, indicating a better permeability profile. The nanoemulgel formulation showed a zone of inhibition of 15 ± 2.45 mm, whereas the 1% ketoconazole cream (marketed preparation) exhibited a zone of inhibition of 13 ± 2.13 mm. The results of this study suggest that developed nanoemulgel containing Timur oil and rosemary oil has the potential to be used for treating topical fungal infections caused by Candida albicans.
Extraction, characterization and pharmacological activity and evaluation of various extracts of calotropis procera leaves

All over Saudi Arabia, the medicinal plant Calotropis procera (C. procera) is a common wild shrub. We looked into the phytochemical makeup and several extracts of C. procera in this work. The presence of different ingredients was checked in all extracts. Table displays the findings of this exploratory phytochemical investigation. Following a phytochemical analysis, it was discovered that Calotropis procera contains alkaloids, steroids, flavonoids, tannins, and terpenoids. To separate the active compounds that might have pharmacologically active ingredients, a TLC chromatographic research was conducted. Ethanol and chloroform extract of Calotropis procera leaves demonstrate the presence of flavonoids and phenolic substances in preliminary phytochemical testing. Additionally, the TLC of both extracts reveals the presence of several phytometabolites. After collection of all fractions of both ethanol and chloroform extract, these fractions then screened for anti-rheumatic arthritis activity. Results depict that 150 mg/kg of crude extract and ethanolic fraction on 10th day showed more superior repression of paw edema i.e., 80.26% and 81.25% (p < 0.001) as compared to 79.56% reduction in paw edema by 100 mg/kg aspirin on 10th day.
DIVA Meets EEG: Model Validation Using Formant-Shift Reflex

The neurocomputational model ‘Directions into Velocities of Articulators’ (DIVA) was developed to account for various aspects of normal and disordered speech production and acquisition. The neural substrates of DIVA were established through functional magnetic resonance imaging (fMRI), providing physiological validation of the model. This study introduces DIVA_EEG an extension of DIVA that utilizes electroencephalography (EEG) to leverage the high temporal resolution and broad availability of EEG over fMRI. For the development of DIVA_EEG, EEG-like signals were derived from original equations describing the activity of the different DIVA maps. Synthetic EEG associated with the utterance of syllables was generated when both unperturbed and perturbed auditory feedback (first formant perturbations) were simulated. The cortical activation maps derived from synthetic EEG closely resembled those of the original DIVA model. To validate DIVA_EEG, the EEG of individuals with typical voices (N = 30) was acquired during an altered auditory feedback paradigm. The resulting empirical brain activity maps significantly overlapped with those predicted by DIVA_EEG. In conjunction with other recent model extensions, DIVA_EEG lays the foundations for constructing a complete neurocomputational framework to tackle vocal and speech disorders, which can guide model-driven personalized interventions.
Synergistic Influence of Banana Pseudo Stem Fibre and Synthetic Fibre on Mechanical, Thermal Stability and Tribological Properties of Epoxy-Based Composites

The use of Synthetic Fibres (SF) as reinforcement for development of Epoxy-based Composites (EC) is well reported. Aside the fact that SF reinforced EC suffer failure under low stress, SF are harmful and sparse, thus limiting local synthesis of the composite for fabrication of structural components. The foregoing necessitates the search for sustainable agro-based alternatives such as Banana Pseudo Stem Fibre (BPSF). Therefore, attempt was made to study the use of BPSF as partial or wholly alternative to SF in EC. The synergistic influence of BPSF and SF on mechanical, thermal stability and tribological characteristics of EC was examined. The SF used in this study were Kevlar (KK), glass (GG) and carbon (CC). Hand lay-up lamination method was used to develop unhybridised and hybridised epoxy composites. The unhybridised epoxy composite reinforced with BPSF was denoted as BBBB (control). The hybrid of BPSF with KK, GG and CC were designated as BBKK, BBGG, and BBCC, respectively. Mechanical, thermal stability and wear tests were carried out according to ASTM standards. Microstructure evolution was examined with SEM NIXRN (Model 541). The BBCC exhibited higher tensile strength and compressive strength (159.11, 65.21 MPa) when compared to BBGG (141.11, 58.21 MPa), BBKK (144.27, 55.51 MPa), and BBBB (109.38, 52.77 MPa), respectively. The improved hardness in the hybridised samples, BBCC (109.25 BHN), BBKK (89.77 BHN), and BBGG (82.23 BHN), were attributed to the filling of BPSF pores with synthetic reinforcements, when compared to the unhybridised BBBB (78.12 BHN). The BBCC demonstrated highest thermal stability, with a mass residue of 18.00 %. The sample also demonstrated the lowest wear under the tested loads. The microstructures revealed a finely dispersed fibres and better adherence in the matrix as compared to others. The hybridised samples demonstrated better properties compared to the unhybridised. The BBCC, a combination of 2-layer configuration of BPSF and CC exhibited the best mechanical, thermal stability and tribological characteristics. In future research endeavours, an investigation on the synergistic impact of other agro-based natural fibres and synthetic fibres at different configuration of layers on the properties of epoxy-based composites is proposed.
HEDGING EFFICIENCY OF FUTURES MARKET ON CASH CROPS (JUTE) - AN INDIAN EXPERIENCE.

Dr. Anil Kumar Swain 1 and Mr. Laxmidhar Samal 2 . 1. Associate professor, P.G. Department of Commerce, Utkal University, Utkal University Campus, Vani Vihar, BBSR, Odisha. 2. Lecturer in Commerce. Upendranath Sarada Mohavidyalaya, K-Mugpal, Jajpur, Odisha. Manuscript Info Abstract . Manuscript History
When droplets deform, break up and propel microswimmers

This thesis investigates the motion and breakup of droplets in low-Reynolds-number flows, focusing on two aspects. In the first part, we study the breakup of droplets in subcritical flow conditions, when there exists a linearly stable solution for the droplet shape, but a finite amplitude perturbation might trigger instabilities. Thus, there exists a finite basin of attraction of the stable solution, whose boundary separates droplets that break from those recovering the stable shape. Our effort is mostly devoted to the exploration of the state space in which the basin boundary is defined. To this end, we proceed by adapting theories initially developed to study laminar-turbulent transition, namely nonmodal analysis and edge tracking. We study the influence of non-normal effects in the breakup of a rising droplet, showing that the optimal shapes found with nonmodal analysis are more efficient in triggering breakup than initially ellipsoidal droplets. Afterwards, we investigate the relevance of edge state in the breakup of droplets in uniaxial extensional flows, finding that edge states select the path toward breakup. The exploration of the bifurcation diagram reveals a similar situation for biaxial extensional flows, where droplets are squeezed along the axis instead of being extended. In the second part we develop a joint chemical-hydrodynamics model to study the motion of bubblepropelled conical microswimmers. We conclude that the chemistry and the hydrodynamics partially decouple. In fact, chemistry dictates the time scale at which the microswimmer moves while the hydrodynamics governs the attained displacement. We furthermore find the geometrical and chemical parameters that optimize the swimming velocity. The effects of bubble deformability are then included. In this case, the swimming velocity is optimal for small cone opening angles. Furthermore, we find that the swimming efficiency, measured in displacement attained per fuel consumption, decreases when the bubble is more deformable. Finally, we study the motion of a sphere inflating close to a wall, which is relevant to the study of conical microswimmers and allows us to revisit the classical settling sphere problem. We find that depending on the boundary conditions imposed on the sphere, whether it is a rigid shell or a perfect free-shear bubble, the sphere-wall gap will close or open in time.
Enhancing Urban Living - A Comprehensive Solution Using Machine Learning and IoT

The urban population is increasing rapidly, leading to challenges in managing daily life activities such as transportation, healthcare, and accessing local services. The developed "At a Glance," is a comprehensive mobile application and digital billboard that provides real-time solutions to several problems faced by city dwellers. The app uses machine learning and IoT to offer features such as real-time traffic monitoring, local news updates, resource people contacts, medical and health information, among others. It aims to promote sustainable living, reduce traffic congestion and air pollution, and make the city a better place to live. "At a Glance" uses various technologies such as Flutter, Firebase Realtime Database and Storage, TensorFlow, IoT, geolocator, geocoder, OpenStreetMaps, and Raspberry Pi. The app offers features such as traffic density monitoring, real-time weather updates, local news and event notifications, and a resource people directory. The app also uses machine learning algorithms to recommend relevant services and resources to users based on their preferences. "At a Glance" has the potential to revolutionize urban living by providing a one-stop solution for all daily life activities. The app can help people make informed decisions, save time and resources, and reduce their carbon footprint. The app's user-friendly interface and accessibility make it a promising solution for cities worldwide.
Asymmetric Cascaded Switched Diode Multilevel Inverter

A novel multilevel inverter with asymmetric switching diodes (ASD) is given in this work for medium voltage and high power applications. The full-bridge converter is connected in series to the basic unit to create the designed converter. MATLAB/Simulink is used to simulate an 11-level converter in order to show the suggested multilevel converter’s authority. Finally, waveforms of the output voltage and current are displayed to demonstrate the converter’s dynamic behaviour.
Regions of micro-calcifications clusters detection based on new features from imbalance data in mammograms

Breast cancer is the most common cancer among women. Micro-calcification cluster on X-ray mammogram is one of the most important abnormalities, and it is effective for early cancer detection. Surrounding Region Dependence Method (SRDM), a statistical texture analysis method is applied for detecting Regions of Interest (ROIs) containing microcalcifications. Inspired by the SRDM, we present a method that extract gray and other features which are effective to predict the positive and negative regions of micro-calcifications clusters in mammogram. By constructing a set of artificial images only containing micro-calcifications, we locate the suspicious pixels of calcifications of a SRDM matrix in original image map. Features are extracted based on these pixels for imbalance date and then the repeated random subsampling method and Random Forest (RF) classifier are used for classification. True Positive (TP) rate and False Positive (FP) can reflect how the result will be. The TP rate is 90% and FP rate is 88.8% when the threshold q is 10. We draw the Receiver Operating Characteristic (ROC) curve and the Area Under the ROC Curve (AUC) value reaches 0.9224. The experiment indicates that our method is effective. A novel regions of micro-calcifications clusters detection method is developed, which is based on new features for imbalance data in mammography, and it can be considered to help improving the accuracy of computer aided diagnosis breast cancer.
Análise da ferramenta RisingMiner para Mineração de Regras de Associação

Atualmente, nota-se cada vez mais a importância dos dados para as empresas e para toda a sociedade em geral. Estes são gerados em volumes cada vez maiores, e pesquisas apontam que se os dados gerados pela humanidade fossem gravados em iPads, a altura destes empilhados ultrapassaria a Lua. Muitos estudos apontam também que os volumes de dados gerados pela humanidade duplicam a cada dois anos, e profissões, cursos e habilidades contemporâneas voltam-se para a análise e o tratamento desses dados, para enfim transformá-los em informação, que pode ser útil para processos de tomada de decisão. Steve Jobs já dizia que a informação é o novo petróleo, e com base nesse princípio, faz-se necessário a criação de novas soluções tecnológicas que acompanhem essa necessidade premente por informações. Assim, a proposta desse trabalho é apresentar a ferramenta de Mineração de Regras de Associação, RisingMiner, que pode auxiliar pesquisadores, pessoas que trabalham com dados e entusiastas a terem uma aplicação para auxiliar no processo de análise de dados. A metodologia para a confecção desta pesquisa foi o levantamento bibliográfico, com textos acerca dos assuntos abordados na pesquisa, bem como sobre a aplicação RisingMiner, criada em 2014, e que possui a função de mineração de Regras de Associação Generalizadas, com base no algoritmo Fuzzy Ontology Generalized Association Rules (FOntGAR). Espera-se que o artigo traga como resultados um arcabouço teórico que contribuirá para os estudos na área de Mineração de dados, Ciência de Dados e suas derivadas.
Turbulent heat transfer past a sudden expansion with a porous insert using a nonlinear model

ABSTRACT This work presents numerical investigations for turbulent flow and heat transfer in a backward-facing step with and without porous inserts. Two classes of the model were employed, namely linear and nonlinear turbulence closures. The entire set of transport equations was discretized by means of the control volume method and the system of algebraic equations obtained was relaxed using the SIMPLE (Semi Implicit Pressure-Linked Equations) method. Results were first validated against the experimental data and the simulations follow experimental values and trends. Computations further indicated that when using the porous insert, the size, shape, and length of the recirculating region were drastically reduced in addition to being pushed toward the channel exit, leading eventually to a complete bubble suppression for thicker inserts. A more permeable medium gave better results in quickly suppressing the circulatory motions. By including porous inserts in the channel, turbulence generated due to the shear inside the recirculating region was damped, whereas high levels of k were concentrated within the permeable structure. Large variations for the skin friction factor along the bottom wall were also smoothed out by placing inserts, spanning from a typical distribution for an unobstructed back-step flow to a standard parallel channel flow distribution as the inserts got ticker. On the other hand, at the upper wall, flow pushed toward the top surface gave rise to a sudden increase of the skin friction factor, which was later stabilized downstream the flow. Heat transfer analysis followed showing damping for Nu at the bottom wall as the thickness of the porous substrate was increased. Overall, the thickness of the insert played a dominant role in changing the final flow and heat transfer characteristics rather than the porosity or permeability of the porous material. Finally, this work indicated that the sudden increase of Nu around the reattachment point, known to be undesirable in many practical situations for causing additional thermomechanical loads on the surface, may by avoided by the use of a porous obstacle past the back-step.
VTT’s Fabry-Perot interferometer technologies for hyperspectral imaging and mobile sensing applications

VTT’s Fabry-Perot interferometers (FPI) technology enables creation of small and cost-efficient microspectrometers and hyperspectral imagers – these robust and light-weight sensors are currently finding their way into a variety of novel applications, including emerging medical products, automotive sensors, space instruments and mobile sensing devices. This presentation gives an overview of our core FPI technologies with current advances in generation of novel sensing applications including recent mobile technology demonstrators of a hyperspectral iPhone and a mobile phone CO2 sensor, which aim to advance mobile spectroscopic sensing.
Conceptual Risk Assessment for New Township Infrastructure Expansion at Kuantan

This paper intends to contribute about the risk assessment on New Township located at Kuantan. Researchers found that, it has a lot of risk that will occur at that area. Researchers found that it have 5 possible risk like disease, flooding, traffic risk, soil erosion and the improper drainage system. Then, researchers will choose the top 3 major risk to do the risk assessment. So, researchers choose traffic risk, soil erosion and the improper drainage system as our major risk in this project. Lastly, researchers also have implement the solution to solve the risk.
Differentiation in TCM patterns of chronic obstructive pulmonary disease by comprehensive metabolomic and lipidomic characterization

Introduction Chronic obstructive pulmonary disease (COPD) is a complex disease involving inflammation, cell senescence, and autoimmunity. Dialectical treatment for COPD with traditional Chinese medicine (TCM) has the advantage of fewer side effects, more effective suppression of inflammation, and improved immune function. However, the biological base of TCM pattern differentiation in COPD remains unclear. Methods Liquid Chromatography-Quadrupole-Orbitrap mass spectrometry (LC-Q-Orbitrap MS/MS) based metabolomics and lipidomics were used to analyze the serum samples from COPD patients of three TCM patterns in Lung Qi Deficiency (n=65), Lung-Kidney Qi Deficiency (n=54), Lung-Spleen Qi Deficiency (n=52), and healthy subjects (n=41). Three cross-comparisons were performed to characterize metabolic markers for different TCM patterns of COPD vs healthy subjects. Results We identified 28, 8, and 16 metabolites with differential abundance between three TCM patterns of COPD vs healthy subjects, respectively, the metabolic markers included cortisol, hypoxanthine, fatty acids, alkyl-/alkenyl-substituted phosphatidylethanolamine, and phosphatidylcholine, etc. Three panels of metabolic biomarkers specific to the above three TCM patterns yielded areas under the receiver operating characteristic curve of 0.992, 0.881, and 0.928, respectively, with sensitivity of 97.1%, 88.6%, and 91.4%, respectively, and specificity of 96.4%, 81.8%, and 83.9%, respectively. Discussion Combining metabolomics and lipidomics can more comprehensively and accurately trace metabolic markers. As a result, the differences in metabolism were proven to underlie different TCM patterns of COPD, which provided evidence to aid our understanding of the biological basis of dialectical treatment, and can also serve as biomarkers for more accurate diagnosis.
An improved immersed boundary finite-difference method for seismic wave propagation modeling with arbitrary surface topography

ABSTRACTTo accurately simulate seismic wave propagation for the purpose of developing modern land data processing tools, especially full-waveform inversion (FWI), we have developed an efficient high-order finite-difference forward-modeling algorithm with the capability of handling arbitrarily shaped free-surface topography. Unlike most existing forward-modeling algorithms using curvilinear grids to fit irregular surface topography, this finite-difference algorithm, based on an improved immersed boundary method, uses a regular Cartesian grid system without suffering from staircasing error, which is inevitable in a conventional finite-difference method. In this improved immersed boundary finite-difference (IBFD) algorithm, arbitrarily curved surface topography is accounted for by imposing the free-surface boundary conditions at exact boundary locations instead of using body-conforming grids or refined grids near the boundaries, thus greatly reducing the complexity of its preprocessing procedures and the com.