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Routing data across numerous access points becomes complicated due to the frequent relocation of sensor nodes. This can cause packet loss, node selection errors, an inability to extend the lifespan of individual nodes, latency in response times, and an increase in computing complexity. An intelligent data routing strategy based on deep reinforcement learning (DRL) is proposed in this study. It considers factors like message overhead, time complexity, maximum data sum rate, and other factors like reduced communication delay and improved energy efficiency to find an optimistic path for better performance of IoT-enabled WSNs. The fundamental instant data load is divided into different cluster pairs, each containing one strong and one weak sensor node, using the double cluster pairing approach. It can be implemented on any network platform, including mobile and non-mobile nodes, by reducing regulated message overhead and increasing data throughput. The technique proposed here is similar to other existing routing protocols in that it helps nodes last longer while using less power.

The present study was planned to find out the incidence of accessory muscle arches in the axilla of 68 upper limb (38 right and 30 left) dissections. Langer’s arch was observed in one right limb out of the 68 limbs, total incidence was 1.47%. The arch extended from the latissimus dorsi to the fascia covering the biceps brachii. The incidence is low in South Indian population (Dravidians) compared to the various other populations reported in literature. A branch from the lateral cord of brachial plexus supplied it in contrast with the previous reports. The surgical significance of this muscle is reviewed

Oestradiol which induces the proliferation of the vaginal epithelium is used in the oestrogen replacement therapy for menopausal and postmenopausal disorders. The exact onset of induced cell proliferation and recovery to the controlled level has not been reported before. Hence this study was done in ovariectomised mice and the period of cellular response to ethinyl estradiol, a semisynthetic ester (0.025mg/kg) was recorded. The vaginal epithelium was studied for histological changes and incidence of mitotic figures. The onset of proliferation started at 4h after exposure and reached its maximum at 32h and declined gradually thereafter to reach the base level at 60h.

Background : Anxiety and fear remain the primary emotion of a child entering a dental office. Successful pediatric dentistry depends not only on the dentist′s technical skills, but also on his ability to acquire and maintain a child′s cooperation. Methods: A retrospective study was done using the case records of 247 children, to evaluate their behavior patterns, based on the Wright′s modification of Frankl′s behavior rating scale. Various behavior management techniques like the tell-show-do, reinforcements, voice control, and hand over mouth exercise used in the postgraduate section of the Department of Pediatric Dentistry, Meenakshi Ammal Dental College, Chennai, India, were also evaluated in this study. Results: Behavior of the children improved on the subsequent visits. Tell-show-do was the most common behavior management technique used and more aversive management techniques were rarely used in managing children in the dental office. Conclusion: Proper assessment of children′s behavior helps the dentist to plan appointments and render effective and efficient dental treatment. Appropriate use of management techniques can improve the child′s behavior in subsequent dental visits.

Saliva is commonly referred to as the blood stream of the oral cavity. It has many functions, one of the major functions being protection of teeth against dental caries. There are many components in saliva, each one having a specific role in the prevention of dental caries. The composition of saliva varies from individual to individual and in the same individual it varies between the glands. The composition of whole saliva, especially when unstimulated, has gained much interest, because it is this which constantly bathes the teeth. The aim of this study was to determine the IgA levels in the unstimulated whole saliva of caries-free and caries-active children aged 3-6 years and to correlate its role in protection of the tooth against dental caries.

A hybrid technique is proposed for electric vehicles (EVs) or hybrid electric vehicles (HEVs) with a battery thermal management system (BTMS). The proposed hybrid method is the combined execution of the Pelican Optimization Algorithm (POA) and Firebug Swarm Optimization (FSO). The hunting behavior of pelicans is improved with the help of the FSO technique; hence, it is named the POA-FSO strategy. Here, a battery of 36 lithium-ion (Li-ion) cells is considered. The proposed method of analyzing battery thermal performance analyzed factors like heat flux from the battery cell to the passage spacing size, cooling air and the cooling air's mass flow rate (MFR). The BTMS performance is studied under maximum battery unit temperature, pressure drop and temperature uniformity. The proposed method enhances the coolant passage spacing and decreases the temperature difference in the battery cells. The proposed approach is executed on the MATLAB platform, and its performance is compared with existing approaches. From the results, it is concluded that the MFR maximizes, and a nonuniform distribution of the MFR of the passage occurs. By using the proposed approach, the maximal temperature change of cooling air among the passages is 2.0 K, the maximal temperature change between the battery cells is 7.5 K and a pressure drop of 228.03 Pa is obtained. [ABSTRACT FROM AUTHOR]

In real life applications, using electronics switch in high voltage and high current applications is very challenging due to limitation of hardware and safety. In this manuscript, a hybrid system is proposed for battery management system (BMS) used in electric vehicle (EV) is a critical part for effective utilization of the energy storage. The proposed hybrid technique is joint performance of fuzzy logic controller (FLC) and Artificial eco-system algorithm (AEO), hence it is called FLTAEO technique. The existing battery management control system is not effective for the Induction motor drive based solar PV powered electric vehicle system. In this manuscript, the control strategies of charging with discharging of Li-ion batteries coupled Induction motor with solar PV power are used with proposed technique. Here, the introduced FLC and AEO are discussed with detailed control abilities for charging/discharging. The simulations are done in MATLAB platform to analyze the superiority of the proposed method. Here, BESS life comparison, fitness function for charging, fitness function for discharging, error Distribution, RMSE calculation for 1 hour and 5 minutes ahead prediction interval (PI) are analyzed and compared with various existing techniques, like Emperor Penguin Algorithm (EPA) and Seagull Optimization Algorithm (SOA). [ABSTRACT FROM AUTHOR]

This manuscript proposes a hybrid technique for optimal energy management (EM) of fuel cell (FC) and ultra-capacitor (UC) hybrid electric vehicles (FCHEVs) under uncertainty. The proposed method is a joint execution of the Slime Mould Algorithm (SMA) and the Adaptive Neuro-fuzzy Inference System (ANFIS), otherwise called the SMA-ANFIS system. The main aim of the proposed system is to achieve and regulate the steady state of DC bus voltage with minimal steady-state error (SSE) under different load conditions by using the proposed SMA-ANFIS technique. FC supplies power during vehicular operation and it is used to regulate DC bus voltage to the chosen value and recharge, and UC supplies current optimally through the proposed technique. The optimal EMS performs and controls the power flows through the associated power converters to accomplish some power allocation and energy efficiency levels. Finally, the proposed method is done in the MATLAB platform, and the performance is compared with other methods. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Hyperglycemic mothers and their offspring are at increased risk of various maternal and neonatal complications such as macrosomia, future type 2 diabetes, and metabolic abnormalities. Early diagnosis and individualized dietary management, exercise, and emotional well-being are expected to reduce these risks. The study aims to identify the effect of the Nutrition and Behavior Modification Program (NBMP) on maternal and neonatal outcomes of hyperglycemic mothers. PATIENTS AND METHODS: A pre-experimental study was performed among 89 hyperglycemic mothers. Glycemic control at 28 and 36 weeks, weight gain during pregnancy, pre-eclampsia, pregnancy-induced hypertension (PIH), mode of delivery, duration of exercise, emotional well-being, neonates' birth weight, incidence of hypoglycemia, and NICU admission were compared among the study and control groups. The intervention group received an individualized NBMP from their diagnosis of hyperglycemia until delivery. RESULTS: The results showed a significant difference in blood glucose between the study periods and groups at p<0.05 as per repeated ANOVA. Also, diet scores had a significant influence on BMI and glycemic control at p<0.05. Logistic regression models, adjusted for potential confounders including baseline blood glucose, age, economic status, previous GDM, family history of DM as well as baseline BMI, diet score, physical activity, and maternal well-being score, indicated that the NBMP reduced the blood glucose and BMI significantly at p<0.05 in the study group. NBMP also reduced the risk of SGA/LGA and preterm/post-mature birth, as well as increased the exercise duration and emotional well-being of mothers. CONCLUSIONS: The study's conclusions draw attention to the possible roles that maternal wellness, physical activity, and diet may have in reducing risks for both hyperglycemic mothers and their newborns. The NBMP resulted in higher adherence to lifestyle changes. Further research on a larger sample of hyperglycemic mothers is recommended to expand the generalizability of the findings. [ABSTRACT FROM AUTHOR]