Great Way Research Articles

A Study on Antioxidant and Gastro-protective Effects of Trachyspermum ammi Linn Extract Using Different In-vitro Techniques

The use of a plant's seeds, berries, roots, leaves, bark, or flowers for therapeutic purposes is known as herbal medicine, often called botanical medicine or phytomedicine. There is a long history of using herbs outside of traditional treatment. The use of herbal medicine in treating and preventing disease is becoming more widespread due to advancements in clinical research, analysis, and quality control. There is a long history of using native plants in traditional medicine. Plants serve as the primary source of resources for the conventional medical procedures practiced in rural and tribal regions in India and other countries. Ajowan, or Trachyspermum ammi, is a widely used name. One of the traditional possible herbs used as a spice in daily life is ajwain, or Trachyspermum ammi L., a member of the Apiaceae family. Fruits, vegetables, herbs, and spices all contain phenolic compounds, which have potent anti-inflammatory, antigenotoxic, antioxidant, and anticancer properties. A Soxhlet extractor was utilized to extract the methanol from the dried seeds of Trachyspermum ammi. The Fenton reaction was used to measure the seed's total phenolic content, and it showed good antioxidant activity at various dosage concentrations. With ascorbic acid serving as the standard reducing agent, the antioxidant activity of the seed extract was evaluated. The UV-visible spectrophotometer was used to obtain the current results. A notable concentration-dependent free radical scavenging and reduction power was demonstrated in this plant extract, Trachyspermum ammi. Using SGOT and SGPT enzymes, we also determined that the gastroprotective action of T. ammi extract was significantly higher than that of the standard medication Liv52 and control liver enzymes. The liver histology slide treated with T. ammi extract shows a typical liver lobule. The hepatocytes are polyhedral, have eosinophilic cytoplasm, and typically have a central nucleus. Endothelially lined sinusoids are located between the hepatocyte cords and exhibit normal liver histology compared to control and Liv52-treated groups. Significantly less intestinal histology was observed as compared to untreated control. The current study concludes that Trachyspermum ammi extract may have a natural antioxidant and gastroprotective activity. Trachyspermum ammi is a great way to add gastroprotective and antioxidant phenolic components to your diet.

Deep learning based segmentation of binder and fibers in gas diffusion layers

Gas diffusion layers (GDLs) are vital parts for the performance of proton-exchange membrane fuel cells (PEMFCs). In many cases, they are made of Carbon-Carbon Composite Paper (CCCP), which consists of carbon fibers and a carbonized binder material. The distribution of the fibers and binder in the GDL strongly influences the performance of a PEMFC. Synchrotron scans are a great way to obtain information about the microstructural composition of carbon paper GDLs (Figure 2), but there is one major obstacle. Binder and fibers tend to have the same attenuation and, consequently, the same gray values in the scans. To overcome this, we introduce a machine learning-based method that segments fibers and binder from the local morphology of a CCCP. The training data is generated using FiberGeo, a module in the GeoDict software for fibrous microstructure generation. FiberGeo creates fibers based on stochastic geometry and adds binder using morphological opening and closing operations. We applied the machine learning-based method to four Scans of samples of Toray Carbon Paper with varying amounts of binder in them. The result is the quantification of individual voxels as fiber or binder material that can be used, for example, in performance simulations of property simulations in PEMFCs [1–4]. Here, we focus on the differences in the spatial distribution of the binder both in the through-plane and in-plane directions.

Predict the musculoskeletal injuries in young skaters using Functional Movement Screen (FMSTM)

Background. Skating is a great way to improve heart rate, coordination, and strengthen the muscles, and burn calories. It works on the muscles of the legs, gluteus, and core and causes 50% less stress to the joints than running, along with improving flexibility and endurance. The FMS™ is a clinical screening tool used to assess seven fundamental movement patterns. It consists of overhead deep squats, hurdle steps, inline lunges, straight leg raises, trunk stability pushups, shoulder mobility, and rotary stability. Injuries are more common in sports, especially skating, where balance and coordination are required. A study like this is necessary to screen skaters, help predict injuries, and train them accordingly to prevent injuries. Objective. The objective is to predict musculoskeletal injuries in young skaters using the Functional Movement Screen (FMS™). Methodology. This is an observational cross-sectional study. Sixty-four skaters of both genders, aged between 6 and 18 years, were conveniently selected based on the inclusion and exclusion criteria and were assessed using FMS™. Outcome measures. Functional Movement Screening scores. Results. 31.3% of young skaters scored between 0 and 13 and are at high risk for musculoskeletal injuries, while 68.8% are at a low risk of injury with FMS™ scores ranging from 14 to 21. Conclusion. This study concluded that 31.3% of young skaters have a high risk for musculoskeletal injuries according to the Functional Movement Screen.

Rapid increase of multi-drug resistant Pseudomonas aeruginosa in Greece - WHONET-Greece (2020-2023)

Abstract Background Multidrug-resistant (MDR) Pseudomonas aeruginosa has been documented as a significant threat associated with adverse patient outcomes. We aimed to describe the rapid increase in the prevalence of an MDR P.aeruginosa phenotype at the national level, as detected through the Greek Electronic System for the Surveillance of Antimicrobial Resistance (WHONET-Greece). Methods Routine susceptibility data of 22,236 P.aeruginosa isolates of hospitalized patients in forty-five hospitals, isolated over the past four years (2020-2023) were analyzed using ‘Resistance profiles’ analysis of WHONET software(ver.2023), considering five antimicrobial groups/agents. Results We confirmed the rapid increase in the prevalence of a carbapenem-resistant P.aeruginosa (CRPA) phenotype resistant to all five antimicrobial groups/agents tested (carbapenems, piperacillin-tazobactam, cephalosporins, fluoroquinolones and aminoglycosides). The prevalence increased by 63.8% in 2023 (from 15.2% to 24.9%, 1.64-fold increase), whereas in the last 24 months of the study period a 2.13-fold increase was observed (from 11.7% to 24.9%). In parallel, the prevalence of all other CRPA profiles decreased in 2023 from 22.5% to 17%. We also examined the prevalence of this MDR phenotype in the different NUTS-1 regions of the country, which revealed that the rapid increase is mainly observed in Attika (EL3, 19/45 hospitals) and Central Greece (EL6, 8/45 hospitals) where prevalence reached 25.4% and 26.2% in the second half of 2023 respectively. Northern Greece (EL5, 15/45 hospitals) showed a steady increase over the four years (12% to 19.3%), while in the Aegean Islands/Crete region (EL4, 3/45 hospitals) the prevalence levels were stable. Conclusions There is an emerging multi-drug CRPA phenotype in Greece. Only with systematic, nationwide surveillance could we identify and verify such threats. The findings of this study should be used for targeted interventions and further analysis through molecular techniques. Key messages • The early detection of such emerging multi-drug CRPA phenotype in Greece allows for for targeted interventions and further analysis through molecular techniques. • Systematic surveillance of antimicrobial resistance based on routine susceptibility data is a great way to identify and verify emerging public health threats.

Developing Secure and Interoperable Health Information Systems Using Blockchain Technology to Enhance Data Privacy, Security, and Accessibility in Healthcare

Healthcare information systems are going through a huge change that will make them more efficient, safe, and easy to use. As more persistent records are digitized and private therapeutic information is shared, it is more critical than ever to create beyond any doubt that security, security, and availability are well secured. Blockchain innovation can be a great way to bargain with these issues since it makes a decentralized, unchangeable record that can be utilized to securely store and send healthcare information whereas securing its security and security. This exposition looks at how blockchain innovation might offer assistance make wellbeing data frameworks more secure and more congruous with each other. Healthcare companies can set up a trusted and unchangeable way to oversee understanding information over different frameworks and parties by utilizing blockchain independent plan, cryptography, and voting instruments. One of the leading things approximately blockchain innovation is that it can make data more private. Cryptographic instruments, like encryption and computerized marks, make it conceivable to store and share private wellbeing information securely with individuals who are permitted to see it, without compromising persistent security. Moreover, since blockchain is unchangeable, once information is recorded, it can't be changed or eradicated. This makes the history of who gotten to and changed information clear and simple to check. In conjunction with ensuring protection, blockchain innovation moreover makes things more secure by bringing down the chances of information spills and unlawful get to. Blockchain-based wellbeing data frameworks make information keeping less centralized and use solid encryption strategies to lower the chances of single focuses of failure and unlawful changes. This makes information more secure and dependable. Keen contracts on blockchain stages can too mechanize and execute get to control rules, making beyond any doubt that as it were individuals who are permitted to can see certain restorative data or do certain activities that have as of now been set up. Interoperability is another important part of modern healthcare information systems that lets different healthcare companies and systems work together and share data easily.

Leveraging Incentive Learning in BiLSTM Architectures for Enhanced Network Traffic Congestion Forecasting

Within the past few a long time, organize activity has developed exceptionally rapidly, which has made it difficult to anticipate and handle bottlenecks. This paper looks at a better approach to make strides the precision of foreseeing arrange activity blockage that employments Motivation Learning (IL) in Bidirectional Long Short-Term Memory (BiLSTM) frameworks. IL may be a sort of fortification learning that changes the learning handle based on installment signs. This lets the demonstrate center on characteristics and designs that are more critical. The objective is to form a more dependable and precise estimate framework by combining IL with BiLSTM, which normally takes into consideration time connections from both past and future information. As portion of our strategy, we prepare the show on an expansive dataset that incorporates a wide extend of activity designs. This makes beyond any doubt that it can work in a assortment of organize circumstances. The results of the tests appear that this strategy is much way better at making forecasts than standard LSTM models and other cutting-edge methods. Our proposed strategy could be a great way to bargain with the issues caused by changing and non-stationary organize activity. It might be utilized to assist handle clog some time recently it gets out of hand. This consider adds to the field of arrange activity examination and appears how profound learning systems and support learning strategies can be utilized together to illuminate difficult issues in the genuine world.

Letters to Scientists About Their Papers

While scientific publications are key to communicating research findings to other scientists, students face barriers reading scientific literature, understanding the literature’s importance, and thinking about the implications of research findings. To help students overcome these barriers, and to further hone their communication skills, we created and provide here a project to have students find a recent scientific paper of interest, carefully read the paper, and then write a letter with relevant questions to one of the authors. This work not only helps engage students with class concepts and increases scientific engagement, but is also important because students realize that scientists are people too, who can (and often do!) write back to interested students to answer their questions. We suggest that this project is a great way for students to form meaningful connections to a scientific topic of interest, regardless of whether they hear back from their scientist, and is a good way for students to further learn about campus resources and develop their writing and communication skills.

Estimating the Economic Threshold Levels of Spodoptera frugiperda through Larval Damage and Adult Moth Trap Catches in Andhra Pradesh, India

The experiment was conducted during kharif (June–September, 2022) in the Rayalseema region of Kurnool, Chittoor, Kadapa and Ananthapuramu districts, Andhra Pradesh, India to determine the percentage of leaf and cob damage caused by Fall armyworm. The roving surveys were carried out throughout the crop’s vegetative (7 to 45 DAS) and reproductive (50 to 70 DAS) stages in the major Maize growing areas. The findings of the roving survey on the incidence of FAW during the kharif (June–September, 2022) showed that, of the districts surveyed, Kurnool (82.62%) and Chittoor (71.20%) recorded the highest percentage of leaf damage, followed by Kadapa (65.14%) and Ananthapuramu (52.82%) during vegetative stage. The districts with the highest percentage of cob damage during the reproductive stage were Chittoor (67.99%) and Kurnool (58.88%), followed by Kadapa (54.21%) and Ananthapuramu (53.21%), Through these surveys the extent of damage in each stage of Maize can be assessed. Using pheromone traps to study population dynamics of FAW is a great way to keep a watch on pest populations which not only improves early detection but also helps to determine the ETL levels of adults as a forewarning signal to the Maize cultivators. The Phermone trap catches during kharif, 2022 showed that at 28 days after planting (V5, V6, and V7 stages of Maize), Chandragiri recorded the highest trap catches for the entire season, with 70.99 moths trap-1 week-1 followed by Narayanavanam at 21 DAS with 73.11 moths trap-1 week-1 which exceeded the ETL level.

Significance of Conic Section in Daily Life and Real Life Questions Related to it in Different Sectors

Students tend to think of mathematics as, “that difficult, boring subject” that only exists within the walls of a classroom. Many students do not realize that mathematics is all around us occurring in our daily lives. Mathematics can be found easily in everyday activities such as cooking, driving, and even walking. Here, we are going to overview the conic section: ellipse, circle, parabola, hyperbola from different angle of life. In this report we will be analyzing a very crucial applications of conic section in the medical field, engineering field, some real life based questions will be sloved, some galleries specially a whispering gallery and some elliptical art works. We will be looking that how a conic section had given a great way to our life.

Hybridism, edutainment, and doubt: Science blogging finding its feet

Blogs have become everyday acquaintances in digital life. Although personal, political, and fashion blogs may be the best known, academics also engage in blogging about research. With fast-expanding digital publishing of all kinds, we may have to rethink the status of blogging in relation to our on-going research. This article discusses the perception of science blogs, and their status as a genre. It explores some blog threads talking about research blogging: are blogs a great way to improve outreach, or just dumbing down? Should we use blogs for publishing serious findings, or brush them aside as edutainment – preferably done by somebody else? Research blogs are explored in the context of science communication and research writing traditions, and their old and new features discussed.

Plasma-assisted surface modification of MXene/carbon nanofiber electrodes for electrochemical energy storage

Inferior ion diffusion and relatively low electrochemically active sites of MXene-based electrodes make them becoming a major challenge to develop advanced electrode. Surface modification of electrodes using non-thermal plasma is a great way to suppress these challenges through providing more space for energy storage and facilitating the diffusion of electrolyte ions. Herein, the effect of nitrogen and oxygen plasma treatments on MXene/carbon nanofiber electrode is reported to enhance the electrochemical performance. In this work, Ti3C2Tx MXene/CNF composites were fabricated using a hybrid needleless electrospinning/plasma method for the electrochemical energy storage. Surface modification of the composites was performed by a DBD plasma reactor under N2 and O2 gases at low-pressure glow discharge as a two-step plasma treatment process. The results revealed that total pore volume and the surface area of the plasma-treated Ti3C2Tx/CNF composite increased considerably due to the N2 and O2 plasma treatments. It was found that the electrochemical active surface area of the N2/O2-plasma-treated Ti3C2Tx/CNF electrode enhanced by approximately two times compared to the non-treated one, leading to the specific capacitance of 162 F/g at 1 A g−1 in a 2 M KOH electrolyte. The increase in electrochemical activity arises from separate doping of N2 and O2 plasma, which not only improves the pore structure and wettability, but also modifies the electrical conductivity and capacitance of the electrode. The N2/O2-plasma-treated Ti3C2Tx/CNF electrode achieved excellent cycling stability with 124 % capacitance retention after 10,000 cycles, while the capacitance retention of the pure N2 and O2-plasma-treated Ti3C2Tx/CNF electrodes as well as the non-treated one were 111 %, 105 % and 98 %, respectively. Additionally, an asymmetric supercapacitor N2/O2-plasma-treated Ti3C2Tx/CNF//AC based on the N2/O2-plasma-treated Ti3C2Tx/CNF as a positive electrode and activated carbon (AC) as a negative electrode was successfully constructed, which demonstrated an energy density of 26.3 Wh kg−1 with a power density of 750 W kg−1 at the current density of 1 A g−1 with excellent capacitance retention (102 %) after 5000 cycles. This work provides a highly efficient method for the surface modification of MXene-based electrodes through non-thermal plasma treatment.

Facile synthesis, morphological, optical, catalytic and photocatalytic properties of Ag nanoparticles decorated Ce doped ZnO hybrid plasmonic nanorods

Designing plasmonic metal–semiconductor hybrid nanostructures for photodecomposition of industrial textile effluent has been considered as a great way to boost the catalytic and photocatalytic capability by promoting effective separation of photoexcited charge carriers. Herein, fabrication of Ag nanoparticles decorated Ce doped ZnO nanostructures were demonstrated via facile wet chemical method. The morphology and structure of the fabricated photocatalysts were analysed using FESEM, XRD and Raman spectroscopy whereas PL, TRPL and UV–vis absorption spectroscopy were employed to examine their optical behaviour. Catalytic response of the synthesized catalysts was studied for 4-NP to 4-AP reduction and the results are more favourable for Ag loaded Ce doped ZnO catalysts and achieved 96.4 % reduction of 4-NP in only 4 min. Photocatalytic measurements showed that higher Ag NP loading onto Ce doped ZnO nanostructures led to superior photodegradation ability over other photocatalysts for the degradation of synthetic dyes and levofloxacin antibiotic. The sunlight driven photodecolorization of harmful synthetic dyes and levofloxacin were studied and efficacy of 97.5, 97.1, 85.1, and 70.9 % were achieved for MG, MB, RhB and MO dyes, respectively in 12 min and 97.2 % efficiency for degradation of levofloxacin was achieved in 20 min of sunlight exposure. Furthermore, the key reactive species was identified and tentative photodegradation process was explained. This work provides an excellent plasmonic-semiconductor catalyst and photocatalyst with good photostability and practical applicability indicating its enormous potential for application in environmental remediation.

Crack configuration influence on fracture behavior and stress shielding: insights from molecular dynamics simulations

The fracture behavior of the Ti–Al alloy is significantly affected by its nano-lamellar structure. However, further investigation is still required to fully comprehend how the initial crack configuration influences the lamellar Ti–Al’s deformation behavior. Although molecular dynamics simulations are a great way to study crack-tip interactions in interface-dominated microstructures, the design of the simulation can have an impact on the behavior that is predicted. To shed light on this matter and at the same time to understand the impact of the specific interface structure, a systematic study of crack-tip interface interactions in nano-lamellar two-phase Ti–Al was carried out. The type of interface and crack configuration were varied in these simulations to distinguish between the effects of the microstructure and the crack geometry. Results show that the semi-coherent pseudo twin ( γ/ PT) interface is the strongest barrier for crack propagation while the coherent true twin interface ( γ/ TT) is the weakest. After a thorough review of the contributing factors, it is evident that the orientation of the crack has a greater impact on its propagation than the aspect ratio of the crack. The stress shielding effectiveness of lamellar interfaces is strongly dependent on the crack configuration. However, regardless of the initial crack set-up, the coherent γ/ TT interface appears to be the most effective interface in terms of shielding.

Process-Induced Molecular-Level Protein-Carbohydrate-Polyphenol Interactions in Milk-Tea Blends: A Review.

The rapid increase in the production of powdered milk-tea blends is driven by a growing awareness of the presence of highly nutritious bioactive compounds and consumer demand for convenient beverages. However, the lack of literature on the impact of heat-induced component interactions during processing hinders the production of high-quality milk-tea powders. The production process of milk-tea powder blends includes the key steps of pasteurization, evaporation, and spray drying. Controlling heat-induced interactions, such as protein-protein, protein-carbohydrate, protein-polyphenol, carbohydrate-polyphenol, and carbohydrate-polyphenol, during pasteurization, concentration, and evaporation is essential for producing a high-quality milk-tea powder with favorable physical, structural, rheological, sensory, and nutritional qualities. Adjusting production parameters, such as the type and the composition of ingredients, processing methods, and processing conditions, is a great way to modify these interactions between components in the formulation, and thereby, provide improved properties and storage stability for the final product. Therefore, this review comprehensively discusses how molecular-level interactions among proteins, carbohydrates, and polyphenols are affected by various unit operations during the production of milk-tea powders.

Comparative Study of Machine Learning Techniques for Insurance Fraud Detection

Insurance fraud has been a constant presence in the realm of insurance. However, as strategies and methods for committing insurance fraud have evolved, the frequency and volume of such fraudulent activities have also increased. An example of this is vehicle insurance fraud, which involves collaborating to fabricate false or exaggerated claims related to property damage or personal injuries resulting from an accident. Machine learning techniques seems to be more beneficial and great way to address the fraud in the insurance industry. This paper comprehensively examines existing research through a systematic literature review. This review aims to identify previously attempted approaches and evaluate which machine learning algorithm is best suited for this specific problem. This paper proposes a methodology for identifying fraudulent insurance claims. This approach can significantly improve efficiency and cost savings for insurance companies in handling such cases. The most popular traditional machine learning algorithms used to identify insurance fraud in the auto industry were found to be support vector machine, logistic regression, and random forest.

If Community Matters to You, Cohousing May Be a Great Way to Age in Place

If Community Matters to You, Cohousing May Be a Great Way to Age in Place

Personal Training Is a Great Way for Psychotherapists to Empathize With Their Clients

Personal Training Is a Great Way for Psychotherapists to Empathize With Their Clients

Variation of segment joint opening of underwater shield tunnel during long operational period

Segment joint is the main water leakage channel in underwater shield tunnels, and joint deformation influences tunnel waterproof capacity greatly. Real-time structure health monitoring is a great way to investigate the joint opening and to offer early warnings for abnormality, such as data outlier and joint properties degradation. This study investigated the variation of joint opening, provided early warning indexes and evaluated the joint mechanical properties degradation using the field monitoring data of an underwater shield tunnel over 10 years, which is rarely seen in the literature. Study results show that: (1) Field monitoring data reveals that the distribution of joint opening increments obeys a heavy-tailed distribution rather than the normal distribution. The exponential distribution model and the log normal distribution model can fit the longitudinal joint increments and circumferential joint increments much better. (2) The early warning index is determined based on the statistic theory and 0.999 quantile is set as the warning value. The obtained warning values of the studied underwater tunnel are 0.005 mm and 0.08 mm for the longitudinal and circumferential joint respectively. The small warning value means that small abnormality can be identified and the early warning would be more efficient. (3) A mechanical model is proposed to evaluate the joint mechanical properties degradation based on monitoring data. Results show that normal stiffness of circumferential joint decreases from 18.3 GPa/m to 14.7 GPa/m. Results of this study provides valuable reference for early-warning and joint degradation evaluation of under water shield tunnel.

DUSHTAVRANA-AYURVEDIC PERSPECTIVE AND POSSIBILITIES

“The destruction / break / rupture / discontinuity of body tissue / part of body, is called Vrana.” The healing of a wound or an ulcer is the natural mechanism of the body. Wound healing is a mechanism where the body attempts to restore the integrity of the injured part. Naturally wound will heal in one week if no doshic invasion (infection) takes place. Presence of infection/inflammation is one of the important factor which impair wound healing. Several other factors affecting the process of wound healing like contamination of wound, vascular insufficiency, foreign bodies, infection, malnutrition, Immune deficiency diseases like diabetes mellitus, and excessive use of steroids etc. A healthy wound heals with minimum scar as compared to infected wound. Classics of Ayurveda especially Sushruta has elaborately explained details of wound & its management. Proper understanding and utilisation of these concepts will pave a great way ahead for Ayurveda in this field

OSHA and the Organizer

Although a morning visit from an Occupational Safety and Health Administration (OSHA) inspector is never a great way to start the day, it is a necessary aspect of ensuring compliance with OSHA rules. Now, however, with the introduction of an amendment to the OSHA walkaround rule that went into effect on May 31, 2024, that OSHA inspector may be accompanied by a union organizer wearing a pro‐union shirt with a QR code on the back for employees to scan. Moreover, by the time they both come knocking at your door, there is likely little that you as an employer can do.