Miracle-dz/UniFAR-FTUs huggingface dataset:
INCREASED POTENCY ON FERTILITY OF BASELLA ALBA WHOLE PLANT AQUEOUS EXTRACT ON REPRODUCTIVE SYSTEM IN ADULT MALE RAT

Objective: Evaluate fertility increases activity of aqueous extract of whole plant of Basella alba in male albino rats. Methods: Two groups (Group II & III) of rats were administered orally aqueous extract of whole plant of Basella alba at doses of 250 and 500mg/Kg body weight. The control group (Group I) received normal saline. After 14 days, sperm count, sperm motility, biochemical parameters, hormone levels, the number of implantation sites, the number of fetuses and the number of resorption sites were recorded. Results: The weight of the testes and epididymis were increased. The epididymal sperm count, motility and sperm abnormality were increased significantly in treated rats. There was an increase in serum protein, albumin, globulin, urea, creatinine and the activity of liver marker enzymes (SGOT, SGPT and ALP) levels of treated rats. The activities of serum antioxidants (CAT, SOD, GPX, GST and GRD) in whole plant extract treated rats were increased. The results of the hormonal assay showed that increased serum levels of LH and testosterone but decreased in the serum levels of FSH and estrogen compared to control. The results of fertility test indicated that the treated adult male rats increased the number of female’s impregnation. In addition, the number of implantations and the number of viable fetuses were also increased. Conclusion: The results of the present study concluded that, aqueous extract of whole plant of Basella alba enhanced sperm concentration, motility and testosterone which might produce positive result in a male fertility. WORLD JOURNAL OF PHARMACY AND PHARMACEUTICAL SCIENCES SJIF Impact Factor 6.647 Volume 6, Issue 5, 716-729 Research Article ISSN 2278 – 4357 *Corresponding Author
FiloQuant reveals increased filopodia density during DCIS progression

Filopodia are commonly observed cellular protrusions in vitro and in vivo. Defective filopodia formation is linked to several pathologies including cancer, wherein actively protruding filopodia, at the invasive front, and filopodia-mediated probing of the microenvironment accompanies cancer cell dissemination. Despite wide biological significance, delineating the function of these finger-like protrusions in more complex systems remains technically challenging, particularly hindered by lack of compatible methods to quantify filopodia properties. Here, we present FiloQuant, a freely available ImageJ plugin, to detect filopodia and filopodia-like protrusions in both fixed and live-cell microscopy data. We demonstrate that FiloQuant can extract quantifiable information including protrusion dynamics, density and length from multiple cell types and in a range of microenvironments, such as during collective or single cancer cell migration in 2D and 3D, in fixed neuronal cultures, in activated natural killer cells and in sprouting endothelial cells in vivo. In cellular models of breast ductal carcinoma in situ (DCIS) we reveal a link between filopodia formation at the cell-matrix interface, during collective invasion and in 3D tumour spheroids, with the previously reported local invasive potential of these breast cancer models in vivo. Finally, using intravital microscopy, we observed that tumour spheroids display prominent filopodia in vivo, supporting a potential role for these protrusions during tumorigenesis.
Development of a Mitochondrial SCAR Marker Related to Susceptibility of Banana (Musa AAA Cavendish) to Fusarium oxysporum f. sp. Cubense Race 4

The use of resistant cultivars is an effective method for the control of banana ( Musa spp.) Fusarium wilt caused by race 4 of Fusarium oxysporum f. sp. cubense ( Foc 4). However, selection of disease-resistant cultivars requires large-scale field evaluations and is time-consuming. Development of early, reliable, and reproducible selection strategies can speed up this process. Sequence characterized amplified region (SCAR) markers have been widely employed in the resistant breeding of many crops. However, to date, there have been no reports about the presence of plant disease resistance-related SCAR markers in mitochondrial genome yet, which also plays a very important role in plant defenses. In the present study, a sequence-related amplified polymorphism (SRAP) marker, a specific fragment of 829 bp, was identified. This fragment could be amplified from Foc 4-susceptible but not from the resistant cultivars. It was located in banana mitochondrial genome and mapped near the putative cytochrome c biogenesis ccmB-like mitochondrial protein. This fragment was then successfully converted into a SCAR marker, namely Mito-Foc-S001, which was found to be able to discriminate the resistance from susceptibility to Fusarium wilt disease of bananas with the discriminatory power of the new mark being 96.88%. Thus, this marker can be used in banana ( Musa AAA Cavendish) breeding for Fusarium wilt disease resistance.
Seismo-electric conversion in shale: experiment and analytical modelling

The development of seismo-electric exploration techniques relies critically upon the strength of the seismo-electric conversion. However, there have been very few seismo-electric measurements or modelling on shales, despite shales accounting for the majority of unconventional reservoirs. We have carried out seismo-electric measurements on Sichuan Basin shales (permeability 0.00147–0.107 mD), together with some comparative measurements on sandstones (permeability 0.2–60 mD). Experimental results show that the amplitudes of the seismo-electric coupling coefficient in shales are comparable to that exhibited by sandstones, and are approximately independent of frequency in the seismic frequency range (<1 kHz). Numerical modelling has also been used to examine the effects of varying (i) dimensionless number, (ii) porosity, (iii) permeability, (iv) tortuosity and (v) zeta potential on seismo-electric conversion in porous media. It was found that while changes in dimensionless number and permeability seem to have little effect, seismo-electric coupling coefficient is highly sensitive to changes in porosity, tortuosity and zeta potential. Numerical modelling suggests that the origin of the seismo-electric conversion in shales is enhanced zeta potentials caused by clay minerals, which are highly frequency dependent. This is supported by a comparison of our numerical modelling with our experimental data, together with an analysis of seismo-electric conversion as a function of clay mineral composition from XRD measurements. The sensitivity of seismo-electric coupling to the clay minerals suggests that seismo-electric exploration may have potential for the characterization of clay minerals in shale gas and shale oil reservoirs.
Can Virtual Reality Ever Be Implemented in Routine Clinical Settings? A Systematic Narrative Review of Clinical Procedures Contained Within Case Reports for the Treatment of PTSD

The evidence base for the use of immersive technologies, such as Virtual Reality (VR), for the treatment of Post-Traumatic Stress Disorder (PTSD) is compelling. Despite promising results wide spread use and adoption of this technology within routine clinical practice remains limited. A lack of detailed technical guidelines might be one of the reasons that hamper such uptake. To address this gap, the current review focuses on earlier design types, namely Clinical Case Reports in order to uncover additional detail in relation to clinical presentations and unique technical procedures. Systematic searches returned 419 results with 15 studies meeting inclusion criteria. This included 13 single subject case reports studies and 2 case series, totaling 27 participants. Results show the use of VR technology to treat PTSD is mainly exposure based. When using such interventions clinicians should conduct a thorough assessment of their clients' background, trauma memory, and triggers in order to tailor the VR experience. They should also plan some early orientation work to help clients acclimatize to the new virtual environment. Gathering self-reported data every 5 min throughout exposure will help with client monitoring, alongside physiological data. The use of olfactory or tactile stimuli may also be helpful during exposure, but is not a necessity. In conclusion, the costs of VR equipment have dropped significantly in the past years making this more accessible and affordable for healthcare providers. Nonetheless, a significant gap remains regarding the use of VR interventions for PTSD in clinical practice. The dearth of qualitative data available within the case report literature, might however help to bridge this gap.
A Blockchain and Internet of Things Based Architecture Design for Energy Transaction

Recently, the paradigm of the electric power industry has been digitized, focusing on renewable energy. While the transition to energy– information and communications technologies (ICT) convergence is accelerating, there will be many changes in energy policy in the future. In particular, in terms of energy demand management, self-sustaining decentralization will be centered around the region, and the virtual power plant (in the form of a micro-grid) will be constructed on a regional basis according to the activation of distributed energy resources (DERs), including renewable energy. For this, business models such as the electricity trading brokerage market should also be considered. In this paper, we design an energy blockchain transaction structure that combines blockchain and the energy Internet of Things (IoT) in a virtual power plant environment. The system presented in this paper can use web-based software to Fog-enabled transactions with an integrated control system that requires intermediaries and DERs. In addition, it is possible to facilitate the activation of energy brokerage transactions by providing an environment for efficient transactions by collecting vast amounts of advanced metering infrastructure information on a fog server.
Inverse Gaussian process model with frailty term in reliability analysis

Traditional reliability analysis techniques focus on the occurrence of failures over time. Nevertheless, in certain cases where the occurrence of failures is tiny or almost null, the estimation of the quantities that describe the failure process is compromised. In this context, we introduce a reliability model for systems adopting the degradation process using frailty. The evolved degradation model has as experimental data, not the failure, but a quality feature attached to it. Degradation analysis can provide information about the lifetime distribution components without actually observing failures. In this paper, we propose an inverse Gaussian process model with frailty as a possible tool to investigate the effect of unobserved covariates. Moreover, a comparative study with the classical inverse Gaussian process based on simulated data was performed, revealing that the asymptotic properties of the maximum likelihood estimators are compromised when the presence of frailty is ignored. The application was based on two real data sets in the literature, showing that the inverse Gaussian process frailty models are propitious to use; however, gamma and inverse Gaussian distributions for frailty present similar results.
A COMPARATIVE EVALUATION OF THE EFFECTIVENESS OF THREE ANESTHETIC GELS IN REDUCING PAIN DURING ADMINISTRATION OF LOCAL ANESTHESIA. – A RANDOMIZED DOUBLE-BLIND CLINICAL TRIAL

AIM: To assess and compare the efficacy of different topical anesthetic agents on needle insertion pain during administration of IANB. MATERIALS AND METHOD: The study included 90 children of age 4 to 8 years which were divided into three groups: Group-A (20% benzocaine), Group-B (5% lidocaine) and Group-C (2% lignocaine). Topical anesthetic gel was applied prior to administration of IANB. After that 1.2ml of local anesthetic agent was administered. The response of child was constantly observed during administration of LA. Each participant was advised to choose emoticon that quantify the pain perception using modified Wong Beker pain rating scale. The ratings were subjected to statistical analysis. RESULTS: Results showed highly significant difference between the topical anesthetic effectiveness of all the groups. The topical anesthetic effectiveness on needle insertion pain of 20% Benzocaine is highest followed by 5% Lidocaine and 2% Lignocaine.
MOLECULAR IDENTIFICATION OF MICROORGANISMS ASSOCIATED TO THE RHIZOSPHERE OF VANILLA AND THEIR POTENTIAL USE AS BIOFERTILIZERS

Abstract The cultivation of vanilla (Vanilla planifolia) is highly promissory in Colombia, where advances in crop management techniques is needed. This study describes vanilla rhizosphere microorganisms in functional groups, their molecular identification, and explores their potential use as biofertilizers. Under in vitro conditions, the most effective phosphate solubilizer was a bacterium with phylogenetic proximity to Serratia sp. followed species related to Pseudomonas saponiphila and P. koreensis. Pseudomonas sp. are among nitrogen fixing bacterium that are more abundant and fast growing. The most effective cellulolytic was a fungus phylogenetically related to Penicillium gliseofulvum followed by another isolate related to Aspergillus fumigatus. Among the five most effective proteolytic were three bacteria phylogenetically related to Bacillus mycoides and B. cereus, a bacterium related to Serratia sp. and another associated to B. thuringiensis. The most relevant phytate degrader were two isolates related to Acremonium sp. and Plectosphaerella sp. The results of this study show the high diversity of rhizosphere microorganisms in vanilla plants, some of them exhibit capacity for enhancing plant nutrients availability and, consequently, they have the potential to be used as biofertilizers.
Ca 21 -induced inhibition of the cardiac Ca 21 channel depends on calmodulin (heartyEF handyIQ motif)

Ca 21 -induced inhibition of a1C voltage-gated Ca 21 channels is a physiologically important regulatory mechanism that shortens the mean open time of these other- wise long-lasting high-voltage-activated channels. The mech- anism of action of Ca 21 has been a matter of some controversy, as previous studies have proposed the involvement of a putative Ca 21 -binding EF hand in the C terminus of a1C andyor a sequence downstream from this EF-hand motif containing a putative calmodulin (CaM)-binding IQ motif. Previously, using site directed mutagenesis, we have shown that disruption of the EF-hand motif does not remove Ca 21 inhibition. We now show that the IQ motif binds CaM and that disruption of this binding activity prevents Ca 21 inhibition. We propose that Ca 21 entering through the voltage-gated pore binds to CaM and that the CayCaM complex is the mediator of Ca 21 inhibition.
Adaptive damping tuning and circuit implementation for broad bandwidth energy harvesting

This paper presents a circuit to tune the electrical damping for optimal power harvesting at time varying excitation frequencies. Optimization of parameters, such as electrical damping to match the mechanical damping and the resonant frequency to match the excitation frequency have long been known. However, the electrical damping optimized at the resonant frequency is not necessarily the optimum point when the excitation frequency changes. This result is especially important in vibration energy harvesting systems since the vibration source is generally not at a single fixed frequency. The proposed circuit detects the excitation frequency and tunes the electrical damping based on a function, obtained from mechanical system modeling and simulation. A frequency detection circuit and a boost converter operating in critical conduction mode are used. Both modeling and experiment results show that the impedance tuning circuit provides the required optimal damping at different excitation frequencies and achieves a much broader bandwidth compared with the conventional system. When the excitation frequency increases to 1.1–1.4 times the natural frequency, the proposed adaptive damping tuning increases the power output by 30%–100% compared to the traditional one.
Topological Data Analysis Made Easy with the Topology ToolKit, What is New?

This tutorial presents topological methods for the analysis and visualization of scientific data from a user’s perspective, with the Topology ToolKit (TTK), an open-source library for topological data analysis. Topological methods have gained considerably in popularity and maturity over the last twenty years and success stories of established methods have been documented in a wide range of applications (combustion, chemistry, astrophysics, material sciences, etc.) with both acquired and simulated data, in both post-hoc and in-situ contexts. This tutorial aims to fill a gap by providing a beginner’s introduction to topological methods for practitioners, researchers, students, and lecturers. In particular, instead of focusing on theoretical aspects and algorithmic details, this tutorial focuses on how topological methods can be useful in practice for concrete data analysis tasks such as segmentation, feature extraction or tracking. The tutorial describes in detail how to achieve these tasks with TTK. In comparison to the last two iterations of this tutorial [11, 13], this iteration emphasizes the features of TTK which now appear to be the most popular, as well as the latest additions to the library. First, we provide a general introduction to topological methods and their application in data analysis, and a brief overview of TTK’s main entry point for end users, namely ParaView, will be presented. Second, we will proceed to a hands-on session demoing the main features of TTK as well as its most recent additions. Third, we will present advanced usages of TTK, including the usage of TTK with Python, the development of a new module for TTK as well as the integration of TTK into a pre-existing system. Presenters of this tutorial include experts in topological methods, core authors of TTK as well as active users, coming from academia and industry. A large part of the tutorial will be dedicated to hands-on exercises and a rich material package will be provided to the participants. This tutorial mostly targets students, practitioners and researchers who are not necessarily experts in topological methods but who are interested in using them in their daily tasks. We also target researchers already familiar to topological methods and who are interested in using or contributing to TTK. We kindly ask potential attendees to optionally pre-register at the following address, in order for us to reach out to them ahead of the tutorial with information updates (for instance, last minute updates, instructions for the download of the tutorial material package, etc.): https://forms.gle/CvrY3oWZB9hWSQJb9 Tutorial web page (including all material, TTK pre-installs in virtual machines, code, data, demos, video tutorials, slides, etc): https://topology-tool-kit.github. io/ieeeVisTutorial.html
A bibliographic review of articles assessing bi-regional collaborations in science, technology and innovation studies between Europe, Latin America and the Caribbean

The present paper sets out to characterize the publication dynamics of collaborative research partnerships between Europe, Latin America and the Caribbean (EULAC) region in the last forty years. We adopt two approaches when analysing data based on the following assumptions: (1) Collaboration is characterized by a central relationship established between researchers from one LAC and one EU institution. (2) Bi-regional collaboration is characterized by a series of scientific publications forged with different scientists and institutions. The objective of this review is to draw a map of the EULAC bi-regional co-publications divided into key areas of knowledge and the countries with more straight or weak scientific collaboration. In our results, we have observed how many studies are focused in emergent areas.
Abbreviated title: Viscous ngering: bound on growth rate of mixing zone Viscous ngering: an optimal bound on the growth rate of the mixing zone

We consider the ow of two immiscible uids of diierent mobility in a porous medium. If the more mobile uid displaces the other, a macroscopically sharp interface is unstable. By growing a network of ngers on a mesoscopic scale, the two phases mix on a macroscopic scale. We are interested in the evolution of this mixing zone. We show that the eeect of a large but nite mobility ratio is strong enough to limit the growth rate of the mixing zone. This is done by rigorously deriving an a priori estimate for the Saaman{Taylor model. In this geometry of an innnite channel, the estimate essentially states that the mobility ratio itself (in the nondimensionalized stetting with unit velocity imposed at innnity) is the optimal bound on the velocity by which the penetrating phase progresses in direction of the channel. Since the introduction of DLA, various stochastic algorithms simulating this two{ phase ow have been developed. The generated clusters, which correspond to the distribution of the highly mobile displacing phase, are fractal in the limiting case of = 1 and \compact" for = 1. With support of numerical experiments and renormalization{group arguments, it had been conjectured that they eventually cross over from fractal to compact for all nite 2 (1; 1). Our result may be interpreted as another connrmation of this conjecture. Introduction. We are interested in the ow of two immiscible uids of dif