The pathogenicity of Helicobacter pylori infection is a well-documented risk factor for gastric ailments such as ulcer and cancer. However, the molecular mechanisms that underlie its pathogenic effects are only partially understood. To address the research gap, this study utilizes a comprehensive bioinformatic approach to identify key microRNAs (miRNAs) that target high-risk genes associated with H. pylori at an epigenetic level. The miRNAs in question, including hsa-mir-539, hsa-mir-361, hsa-mir-203a, hsa-mir-7-1, hsa-let-7f-1, hsa-mir-133a-1, and hsa-mir-186, were validated through rigorous database searches and cross-referencing. By curating the miRNet and other miRNA platforms, the study uncovered intricate regulatory networks between these miRNAs and transcription factors (TFs) such as androgen receptor (AR), BCL6, and GATA1. These interactions play a crucial role in inflammatory and carcinogenic pathways. The functional annotation of the miRNAs highlights their significant roles in essential biological processes and pathways that are relevant to H. pylori infection and gastric cancer progression. Overall, this integrated analysis provides critical insights into the molecular landscape of H. pylori-induced ulceration and carcinogenesis. This information may offer potential biomarkers and therapeutic targets for future research and clinical applications in managing gut health.

The aim of the study is to measure the Dufour number effects on the flow patterns and heat transfer in an exponentially accelerated infinite vertical plate embedded in a porous medium in the presence of heat source and chemical reaction. Time-dependent variations in temperature, velocity, and other factors should be taken into consideration due to the flow's unsteadiness. The fluid considered is a gray, absorbing/emitting radiation but nonscattering medium. Using the finite element method, a set of nondimensionless equations is solved analytically. Results are discussed graphically for concentration, temperature, and velocity profiles. Skin friction, Sherwood number, and Nusselt number are also explained for flow parameters through graphs.

Pesticide exposure has been associated with various health conditions like asthma, Parkinson's disease, Alzheimer's disease, genetic disorders, epigenetic changes, oxidative stress, and hormonal disruption. Recent evidence suggests that infants are more vulnerable to pesticides (such as rotenone) than adults. Although the disease has already been clinically characterized, no treatment has yet been developed to improve pathology or prevent developmental toxicity. Therefore, the purpose of this study was to investigate whether thymoquinone (TQ) from Nigella sativa seeds could ameliorate rotenone (ROT)-induced developmental damage in both Drosophila melanogaster ovary and third instar larvae. Female adult wild-type flies and third instar larvae (72 +/- 2 h after egg laying) were exposed to ROT and/or TQ through food for 48 and 24 h respectively. Results indicate that co- exposure of TQ inhibits ROT-induced increased oxidative stress and alleviates abnormal antioxidant enzyme activities. Further, TQ alters developmental gene expression (Bacoid, Oscar, Nanos, and Gurken), impedes mitochondrial dysfunction, and reduces apoptosis in ROT induced ovary. In addition, TQ changes ROT induced abnormal crawling behaviour, cholinergic dysfunction, and dopamine depletion to normal levels in third instar larvae. Also, TQ reduces pupation and emergence time in ROT induced third instar larvae. The above findings demonstrate that ROT exposure during early developmental stages is inevitable, and TQ supplementation prevents developmental toxicity in the Drosophila ovary and third instar larvae. A diet enriched TQ provides a ray of hope in preventing ROT induced developmental toxicity.

In the presence of viscous dissipation and radiation effects, a numerical analysis is performed for an unsteady-free convective, radiative, chemically reactive, radiation absorption, viscous, incompressible, and electrically conducting fluid passing through an exponentially accelerating vertical porous plate. Numerical methods are used to solve the collection of nondimensional governing equations and their boundary conditions. Graphs are used to study the effects of different physical characteristics on flow quantities. Tables are used to study the differences in skin friction, the Sherwood number, and the Nusselt number for the physical interest. The analysis and explanation of the fluctuation in radiation and flow parameters on velocity and temperature gradient profiles through graphs using the Galerkin technique is the novelty of this work. For the magnetic, Prandtl, heat sink, radiation, Schmidt, and chemical reaction parameters, skin friction is significantly higher; however, for the Grashof, modified Grashof, permeability, radiation absorption, Dufour, and Soret numbers, skin friction has the opposite tendency.

MicroRNAs (miRNAs) have emerged as critical regulators of post-transcriptional gene expression, impacting various biological processes (development, differentiation, and progression). In medicine, miRNAs are promising diagnostic biomarkers for neurodegenerative diseases, including Parkinson's disease (PD). The current study aims at exploring the role of miRNAs and transcription factors (TFs) in regulating genes-associated with PD. Deploying bioinformatics tools, the study identifies specific miRNAs and TFs involved in PD and their potential connections to the organ-disease junction. Notably, certain miRNAs are found to be highly expressed in brain, than compared to blood. Furthermore, the study explores the expression patterns of PD-related genes in different regions of the brain and attempts to construct complex network of interactions contributing to PD pathogenesis. Additionally, the regulatory relationship of two miRNAs namely hsa-miR-375-3p and hsa-miR-423-3p with TFs are well examined. Overall, the study provides a comprehensive moon-shot view of the molecular aspects of PD and their potential therapeutic targets which could be further used as diagnostic biomarkers in early detection, drug design and development attributing towards precision medicine.

In an era marked by fast-paced lifestyles and ever-evolving technology, the importance of maintaining good health and fitness cannot be overstated. Health and fitness are foundational pillars that contribute not only to physical well-being but also to mental and emotional vitality. Even us students often neglect our health and fitness. However, prioritizing fitness and health during these formative years is paramount. Academic commitments can lead to sedentary lifestyles. Integrating physical activity into daily routines enhances blood circulation, improves concentration, and boosts mood.

In today 's busy world, parents, especially mothers, face significant challenges in effectively guiding and supervising their children, particularly those aged between 6 months and 5 years. Children often engage in potentially risky behaviors such as wandering. interacting with electronic devices. entering the kitchen, or even leaying the safety of the home while parents are occupied with household tasks. These activities not only pose a safety hazard but also put children at risk of injuries. This research work introduces an innovative wearable device and a wristband or locket. designed to address these issues and enhance child safety. The proposed solution leverages smart sensors and advanced technology to autonomously manage children's behavior without the need for constant parental guidance or explicit instructions. When a child approaches a potential hazard, such as an electronic device or the kitchen area. the wearable device activates and emits a gentle, non-intrusive buzzer sound. Simultaneously, parents receive instant notifications on their mobile phones, allowing them to stay informed and vigilant even when engrossed in their daily household tasks. This research presents a promising solution to mitigate child safetv concerns. empower parents with enhanced oversight, and facilitate children's development of responsible behavior in everyday situations. This fresh approach has the power to significantly influence child safety and parenting methods in today's era.

Alzheimer's disease (AD) is a progressive neurological disorder and is characterized by the accumulation of amyloid beta (A beta) peptide and hyperphosphorylated tau as a pathological hallmark. Bilobalide (BB) being a highly hydrophobic compound, has poor aqueous solubility, stability, and brain bioavailability. In the present study, we prepared self-assembled low molecular weight chitosan-bilobalide microsuspension (BBC) and examined its neuroprotective effect against intracerebroventricular induction of A beta(25-35) toxicity in mice. Results showed that BBC has a particle size of 5.77 mu m with a desired zeta potential of +42.2 +/- 2 mV. BBC displayed aqueous solubility with sustained release kinetics in vitro and had better intracellular transport (70 %) of BB from BBC in Caco-2 cells. Further, treatment with BBC showed increased content [BBC (10 mg), 83.4 ng; BB (10 mg), 15.8 ng] of BB in brain and alleviated A beta(25-35) induced memory impairment in mice. Moreover, BBC diminished oxidative stress, neuroinflammation, and synaptic dysfunction in A beta(25-35) induced AD model. In addition, our western blot data suggested that treatment with BBC ameliorated A beta(25-35) induced hyperphosphorylation of tau protein through regulation of aberrant phosphorylation of Akt/GSK3 beta/MAPK pathway. The current study may confirm the application of BBC as an oral supplement in the food and pharmaceutical industries for AD conditions.

Teaching and research in academia have long been viewed as two different fields with a fuzzy, if not crisp, boundary. Nonetheless, the past few years have witnessed encouraging acceptance of their nature of complementing each other, rather than mutually exclusive endeavors. This paper highlights the dynamic relationship between these two essential pillars of higher education and presents some case studies to support the hypothesis. It also discusses how students stand to gain from the integration of Research-informed teaching pedagogy and effective usage of modern simulation, modeling, and analytical computer-aided design tools. The paper also underscores the need for higher technical educational institutes to develop a sustainable ecosystem where educators find these roles supporting each other and seamlessly transition between the two. The various takeaways of the case studies presented here assuredly suggest the potential benefits of research-enabled pedagogical practices in enriching students learning and improving retention capabilities. Keywords: Teaching, Research, Higher Education, Modern-tools Usage, Improved Learning

Artificial intelligence (AI) has rapidly infiltrated diverse sectors like agriculture, healthcare, banking, transportation, and education. This paper concentrates on education, specifically the time-consuming and vulnerable manual attendance process involving roll calls. To combat issues like proxy attendance, we present an innovative automated system utilizing facial recognition technology. Key components include the Histogram of Oriented Gradient (HOG) for robust facial feature detection and the Haar Cascade classifier for precise recognition. Data collection and preprocessing build a diverse student facial image dataset for model training. In real-time, the system captures live video feeds, accurately marking student attendance. Benefits encompass proxy attendance prevention, increased accuracy, and reduced administrative burden. The system is scalable and could integrate with student management systems, but ethical concerns surrounding privacy and data security must be addressed. In summary, AI's integration into education shows great potential, and our facial recognition-based attendance system represents a pivotal advancement in overcoming longstanding attendance challenges.

In this research, the radially increasing axisymmetric discharge of an electrically conducting fluid across a surface is accurately evaluated mathematically using the influence of Soret number. The surface is extended at an exponential speed in a radial direction, which causes flow trends. New similarity transformations are discussed in order to transform the governing, transform nonlinear partial differential equations into standard derivatives. The Successive Linearization Method is used to perform mathematical analysis for flow performing. The Chebyshev spectral technique is utilized to resolve the linear system in order to provide accurate solutions that converge effectively to the whole numerical solution. Comparisons with earlier research are conducted to evaluate the validity of the results on the distribution of velocity, temperature and concentration. Verify convergence and accuracy of the solution, the impacts of a few fluid factors are identified and explained.

This study presents a mathematical model that delineates the radially expanding axisymmetric discharge of an electrically conductive fluid over a surface, taking into account the effects of the Soret number. The dynamics of the flow are examined as the surface experiences exponential radial expansion. To transform the governing nonlinear partial differential equations into standard derivative forms, similarity transformations are applied. The flow dynamics are further investigated using the Successive Linearization Method. To achieve accurate solutions that converge effectively to the complete numerical solution, the Chebyshev spectral method is employed to solve the resulting linear system. Previous research is cited to support the findings related to the distribution of velocity, temperature, and concentration, emphasizing the convergence and accuracy of the solution while considering the influence of various fluid parameters.

The ongoing war between Russia and Ukraine has significantly strained relations between Russia and the European Union (EU) in the energy sector leading to severe turmoil. This crisis has further jeopardized the energy security of EU member states, particularly smaller countries such as Lithuania, which heavily relies on Russia for its energy resources. Nevertheless, even before this crisis, Lithuania’s energy security was already deemed inadequate despite the relatively favorable state of EU–Russia energy cooperation. This research paper aims to analyze the EU–Russia energy cooperation before and during the war. It also explores the implications of the EU–Russia energy cooperation and the Russia–Ukraine war on Lithuania’s energy security. This article concludes that with the start of the Russia–Ukraine war, the EU–Russia energy relation is experiencing a severe crisis. Before and during the ongoing Ukrainian crisis, Lithuania—compared to Western European states—received different and unexpected treatment from the EU, impacting its energy security.

Summary The Internet of Vehicles (IoV) has become a lot of concern for scientific society because of its rising importance in creating an intelligent transportation system. However, the existing systems addressed handover and network selection difficulties, but they did not solve the necessity for frequent handover problems. Hence, in this research, handover decision difficulties are removed by using a novel state‐action–reward–state‐action reinforcement learning method in which it learns the current policy action to determine whether a handover decision is required in the fast‐moving vehicle therefore the handover failure problem is reduced. Moreover, the existing fuzzy rules do not consider non‐line‐of‐sight and the learning capabilities of the neural networks to select the suitable network therefore it creates network selection difficulty. Hence, the network selection difficulties are removed by using a novel fuzzy‐based graph neural network in which the fuzzy logic is connected to the graph hierarchical structure to select the right network therefore the efficient and suitable network is selected on the internet of vehicle communication. Moreover, the existing process is to select the routes completely established on the ancient broadcast history of the vehicles and their channel metrics which causes the frequent handover and poor performance of the network. Hence, the routing selection problem is eliminated by using a novel cluster‐based routing algorithm in which the vehicle was divided into clusters to select the efficient route of the internet of the vehicle therefore the best routing path is carried out. As a result, the proposed system is improving the quality of the service and reducing the handover failure and delay of the system.

The study aims to quantify the effect of Dufour number, on flow patterns and heat transfer rates in the exponentially accelerated vertical plate with MHD flow and chemical reaction. The unsteadiness of the flow suggests that time-dependent changes in velocity, temperature, and other relevant parameters are considered. MHD further complicates analysis with the electromagnetic interactions between the fluid and the field. The fluid, be characterized as a gray, absorbing/emitting radiation medium, indicating that it absorbs and emits thermal radiation but does not exhibit scattering behavior. Set of partial differential equations are then resolve using FEM. Graphical results are then discussed. Profiles vary with different, Dufour number, radiation, or temperature-dependent heat source/sink parameter. By varying the values of these governing parameters, on the skin-friction coefficient, Nusselt number, and Sherwood number are also analyzed.

"15th BRICS summit: key takeaways and their relevance." The Round Table, 112(5), pp. 549–550 Disclosure statementNo potential conflict of interest was reported by the author(s).

The present study aimed to identify the bioactive compounds from the Pithecellobium dulce (Roxb.) Benth. unripe aril via LC-MS/MS (liquid chromatography-tandem mass spectrometry) and evaluate its antiproliferative activity against human colon carcinoma cells. Unripe aril powder was extracted with methanol and water (70:30). The LC-MS/MS chromatogram showed the presence of 20 different phytochemical compounds such as justicidin B, 2-hydroxyquinoline, hyoscyamine, kaempferol, cyanidin, hypoxanthine, chicoric acid, roemerine, amentoflavone, and cinnamic acid, etc. An extensive literature survey revealed the reported anticancer properties of these compounds. PD fruit and bark extracts have already reported cinnamic acid, kaempferol, morin, and catechin B. The extract demonstrated dose -dependent antiproliferative effects against HT-29 and HCT-15 cells with IC50 values of 62.5 mu g/ml by MTT assay. Moreover, the extract enhanced the reactive oxygen species level, altered cellular morphology, and induced apoptosis as analyzed by fluorescence microscopy. Our current findings suggest PDU produces significant levels of reactive oxygen species (2.5 fold), which may cause apoptosis by disrupting the balance between the oxidant and antioxidant enzyme systems to alter the redox balance in the cell. Interstingly, PDU at the highest concentration (125 mu g/ml) tested significantly enhances the release of lactate dehydrogenase (LDH, 4-fold) in HT-29 and HCT-15 cells. This result suggests the involvement of necrosis in the cytotoxic effect of PDU. In conclusion, our results suggest that P. dulce unripe aril contains potent anticancer agents that demonstrate significant antiproliferative and apoptotic activity against human colon carcinoma cells. Therefore, the consumption of unripe fruits of P. dulce has important gut and digestive health benefits.

To study the effects of Viscous Dissipation on MHD free convection flow past a semi-infinite moving vertical porous plate with heat sink and chemical reaction. The governing dimensionless coupled equations are solved by using Finite Element Method. The influence of Grashof number, Schmidt number, Magnetic field parameter, Chemical reaction parameter, Modified Grashof number, Eckert number, Heat sink parameter, Prandtl number on dimensionless velocities, temperature, concentration are showed graphically. The accuracy of the problem has been verified by comparing with the previous published work and the agreement between the result is excellent, which is established confidence in the numerical reported in the study. The mathematical estimations is obtained by using C - programme for velocity, temperature and concentration.

Aim To evaluate the structure and functions of capsular exopolysaccharide (CPS) from Bifidobacterium breve NCIM 5671.Methods and results A CPS produced by the probiotic bacteria B. breve NCIM 5671 was isolated and subjected to characterization through GC analysis, which indicated the presence of rhamnose, fucose, galactose, and glucose in a molar ratio of 3:1:5:3. The average molecular weight of the CPS was determined to be similar to 8.5 x 105 Da. Further, NMR analysis revealed the probable CPS structure to be composed of major branched tetra- and penta-saccharide units alternately repeating and having both alpha- and beta-configuration sugar residues. CPS displayed an encouraging prebiotic score for some of the studied probiotic bacteria. Compared to standard inulin, CPS showed better resistance to digestibility against human GI tract in vitro. DPPH, total antioxidant, and ferric reducing assays carried out for CPS displayed decent antioxidant activity too.Conclusion This study indicates that the CPS from B. breve NCIM 5671 has the potential to be utilized as a prebiotic food supplement. It is a high-molecular-weight (similar to 8.5 x 105 Da) capsular heteropolysaccharide containing rhamnose, fucose, galactose, and glucose.