Innovations in Smart Manufacturing: An Experimental Assessment of Emerging Technologies

With an emphasis on machine learning and artificial intelligence (AI), the Internet of Things (IoT), robotics, and data analytics, this research offers a methodical empirical evaluation of cutting-edge technologies in the field of smart manufacturing. The findings indicate notable progress in the abilities of the employees. Employee 2 had an astounding 30% gain in machine learning competence, while Employee 3 demonstrated a 50% growth in robotics proficiency. Production Line Efficiency showed scope for development; Line B showed a 0.7% gain in efficiency, indicating that there is still opportunity for process improvements. Analyzing sensor data highlights the need of ongoing maintenance and monitoring to guarantee optimum machine functioning. Data from quality control indicated that stricter guidelines were required to lower product faults. With implications for increased productivity and quality, this study advances our knowledge of the revolutionary potential of smart manufacturing technologies, including workforce development, technology adoption, and process optimization

IoT-Enhanced Healthcare: A Patient Care Evaluation Using the IoT Healthcare Test

Empirical insights into the significant effects of IoT-Enhanced Healthcare on patient care and health outcomes are provided by this study. The transformational potential of IoT technology is shown by data generated from a varied patient group, which includes continuous monitoring of blood pressure, body temperature, heart rate, and blood glucose levels via IoT devices. The usage of IoT devices is directly correlated with greater cardiovascular stability, as shown by consistently normal vital signs, according to statistical assessments. Additionally, the data highlights how patients using IoT devices have better control over their blood glucose levels, as seen by fewer cases of increased glucose levels. Evaluations of the quality of patient care show improved levels of satisfaction, efficacy of therapy, and communication, highlighting the benefits of IoT-Enhanced Healthcare. The evaluation of the outcomes of the IoT Healthcare Test confirms the precision and dependability of IoT devices in medical diagnosis, highlighting the significance of IoT-Enhanced Healthcare in transforming patient care. Together, these results provide strong evidence of IoT's ability to improve patient outcomes, treatment quality, and patient health

Advances in Solid Oxide Fuel Cells and Electrolysers for Green Hydrogen Production

This article presents a comprehensive review of the studies in the domain of Solid Oxide Fuel Cells (SOFC) and Electrolysers, highlighting their integral role in promoting green hydrogen production. Over the past three decades, SOFC technology has seen profound advancements, transitioning from its initial phases to the cusp of commercialisation. The progression of this technology is illuminated through the systematic evolution of international symposia dedicated to SOFCs. These events have chronicled pivotal breakthroughs in materials innovation, a deepened understanding of electrode reactions, intricate chemical interactions, and the design and efficacy of SOFC configurations, from individual cells to complex multi-cell assemblies and integrated power systems. Concurrently, the studies shed light on the potential of solid oxide electrolyser technology in addressing the challenges posed by the intermittent nature of renewable energy sources, such as solar and wind. Operating at temperatures surpassing 600°C, these electrolysers adeptly decompose water and/or carbon dioxide into chemical fuels, capitalising on both thermodynamic and kinetic advantages. The review concludes with the findings of the exploration of nuclear power’s capability in championing high-temperature steam electrolysis for sustainable hydrogen production, encompassing a thorough analysis of material innovations, degradation mechanisms, and strategies to offset such deteriorations

IoT-Based System for Automated Accident Detection and Rescue

One of the most common causes of death is auto accidents. The worst thing that may happen to a road user is a traffic accident, despite the fact that they happen regularly. The worst part is that we fail to learn from our on-the-road errors. Most people who use roads regularly are extremely familiar with the fundamental guidelines and safety procedures that should be followed, but it is only their own negligence that results in accidents and wrecks. Accidents and crashes are primarily caused by human error. Here are some examples of normal human actions that result in accidents. 1. Driving too fast; 2. Driving while intoxicated; 3. Distracting the driver; 4. Running red lights; 5. Avoid utilizing safety equipment, such as seatbelts and helmets; 6. Driving erratically and overtaking improperly in order to save lives in a traffic collision, we’re going to construct an Arduino-based car accident alert system that combines GPS, GSM, and an accelerometer. If the accelerometer detects an abrupt shift in the vehicle’s axis, the GSM module alerts you and communicates the location of the accident to your cell phone. The GPS module’s latitude and longitude are utilized to pinpoint the accident’s location, which is provided as a Google Map link. The message also contains the vehicle’s speed in knots

Smart Attendance Automation System

The smart attendance marking system, which is based on face recognition technology, is a modern solution that may aid in the automation of the attendance management process in a variety of organizations, including schools, colleges, and corporations. Using facial recognition technology, the research team hopes to create an efficient system for tracking and recording attendance. The system will be developed by gathering and analysing data in order to construct a database of faces that will be used to train deep learning algorithms to recognise faces effectively. Compared to traditional attendance tracking systems, the smart attendance marking system based on face recognition technology has various advantages. For starters, it saves time and lowers manual labour because attendance is automatically tracked. Second, it enhances precision, lowering the possibility of errors. Third, it delivers real-time attendance updates, making it simple for instructors or administration to monitor attendance and take appropriate action. The aim of the work is expected to improve attendance management in various organisations by optimising attendance monitoring methods while decreasing manual effort and errors. Because the system may be connected with existing attendance management systems or utilised as a standalone solution, it is a versatile and adaptable option for a variety of organisations. The paper’s effort is to design, develop, and implement an efficient system that can track and record attendance accurately using facial recognition technology, giving benefits such as time savings, accuracy, real-time updates, and better security

IoT-Enhanced Healthcare: A Patient Care Evaluation Using the IoT Healthcare Test

Empirical insights into the significant effects of IoT-Enhanced Healthcare on patient care and health outcomes are provided by this study. The transformational potential of IoT technology is shown by data generated from a varied patient group, which includes continuous monitoring of blood pressure, body temperature, heart rate, and blood glucose levels via IoT devices. The usage of IoT devices is directly correlated with greater cardiovascular stability, as shown by consistently normal vital signs, according to statistical assessments. Additionally, the data highlights how patients using IoT devices have better control over their blood glucose levels, as seen by fewer cases of increased glucose levels. Evaluations of the quality of patient care show improved levels of satisfaction, efficacy of therapy, and communication, highlighting the benefits of IoT-Enhanced Healthcare. The evaluation of the outcomes of the IoT Healthcare Test confirms the precision and dependability of IoT devices in medical diagnosis, highlighting the significance of IoT-Enhanced Healthcare in transforming patient care. Together, these results provide strong evidence of IoT's ability to improve patient outcomes, treatment quality, and patient health

Mechanical Property Evaluation of Stir-Squeeze Cast Al-Based Nano SiC Composites

This study focuses on the production of stir-squeeze cast hybrid composites made of aluminium with reinforcements. Base metal AA6105 is combined with SiC/TiC. TiC is changed from 3 to 9 wt% while SiC is kept constant (3wt%).Nine specimens are created using the deviation of the stir casting parameters of Stirrer speed (SP) 350-550rpm, Stir-time (TI) 15-25 min, and Reinforcement (RE) 3-19 w.t% in accordance with L9 Taguchi's design. By applying pressure of 60 MPa during squeeze casting, reinforced composites are created. Both stir casting and squeeze cast specimens are examined for their mechanical characteristics, such as tensile strength (TS) and hardness (BHN). Based on elongation, tension, and strain, TS was assessed for both processes. The outcomes showed that SQC sample L6 obtained the maximum TS of 303.19 MPa while STC specimen only managed to reach 269.88 MPa. The STC method produced a hardness value of roughly 83.56 Hv, whereas the greatest hardness value of 94.73 Hv was obtained with SQC sample L9 (SP-550 rpm, TI-25 min & RE-6%)

A review on extraction technique and immune-boosting properties of Moringa oleifera Lam

ABSTRACTMoringa oleifera Lam. (Moringa) plant, which belongs to the Moringaceae family, is an important crop in Asia and Africa. Moringa has been investigated for its health benefits, which are related to several bioactive components found in the plant, including flavonoids, vitamins, phenolic acids, isothiocyanates, saponins, and tannins. The leaves of moringa have been researched extensively and hence proven to be effective in various chronic illnesses such as insulin resistance, hypercholesterolemia, diabetes, cancer, nonalcoholic liver disease, high blood pressure, and general inflammation. Moringa includes a variety of dietary phytonutrients, notably flavonoids, the secondary plant metabolites which have health-enhancing effects, such as avoiding damage to normal cellular DNA and stimulating the death of cancer cells, therefore reducing the prevalence of non-communicable disorders (NCDs). Flavonoids are phenolic chemicals, which are plant elements that correlate to the non-energy portion of a person’s diet. Flavonoids are often removed chemically using solvents and conventional techniques that, in addition to being costly, take a long time and have an impact on the bioactivity of these substances. As a consequence, there is no universally applicable extraction procedure, and each best practice is adapted to the specific plants involved. To be selective, an extraction technique must have combined an ideal solvent or mixture of solvents with an optimum procedure. In this study, we provide information on the improved and standardized extraction process from Moringa leaf extract concerning flavonoids and its good consequences on immune system efficacy that have been documented

Stars and Symbiosis: MicroRNA- and MicroRNA*-Mediated Transcript Cleavage Involved in Arbuscular Mycorrhizal Symbiosis1[W][OA]

The majority of plants are able to form the arbuscular mycorrhizal (AM) symbiosis in association with AM fungi. During symbiosis development, plant cells undergo a complex reprogramming resulting in profound morphological and physiological changes. MicroRNAs (miRNAs) are important components of the regulatory network of plant cells. To unravel the impact of miRNAs and miRNA-mediated mRNA cleavage on root cell reprogramming during AM symbiosis, we carried out high-throughput (Illumina) sequencing of small RNAs and degradome tags of Medicago truncatula roots. This led to the annotation of 243 novel miRNAs. An increased accumulation of several novel and conserved miRNAs in mycorrhizal roots suggest a role of these miRNAs during AM symbiosis. The degradome analysis led to the identification of 185 root transcripts as mature miRNA and also miRNA*-mediated mRNA cleavage targets. Several of the identified miRNA targets are known to be involved in root symbioses. In summary, the increased accumulation of specific miRNAs and the miRNA-mediated cleavage of symbiosis-relevant genes indicate that miRNAs are an important part of the regulatory network leading to symbiosis development