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Aims: To determine ultrasound therapy as an effective adjuvant for the management of myofascial pain involving masticatory muscles. Study Design: Randomized clinical trial study. Place and Duration of Study: Department of oral medicine and radiology, Narayana dental college and hospital between March 2021 to November 2022. Methodology: We included 30 patients (20 females and 10 males; age group >18 years) clinically diagnosed with Myofascial pain who were randomly assigned into two groups each comprising of 15 patients. Group A patients received ultrasound therapy along with tizanidine 2mg twice a day for 14 days while group B patients received tizanidine alone. All the patients were evaluated for maximum inter-incisal distance, tenderness of muscles of mastication on palpation, pain while chewing, and pain during mandibular movements at baseline, 7th and 14th day. Results: A significant pain reduction and improvement in mouth opening was found in both the groups. However, patients who received both tizanidine and ultrasound therapy had greater relief compared to other group from 7th day to 14th day and the results were statistically significant. Conclusion: No side effects were observed in Group A during or after ultrasound therapy. As it is a non-invasive therapeutic modality and offers good patient compliance, ultrasound therapy can be used as an effective therapeutic adjuvant for the management of myofascial pain.

Breast cancer (BC) disease is the most common and rapidly spreading disease across the globe. This disease can be prevented if identified early, and this eventually reduces the death rate. Machine learning (ML) is the most frequently utilized technology in research. Cancer patients can benefit from early detection and diagnosis. Using machine learning approaches, this research proposes an improved way of detecting breast cancer. To deal with the problem of imbalanced data in the class and noise, the Synthetic Minority Oversampling Technique (SMOTE) has been used. There are two steps in the suggested task. In the first phase, SMOTE is utilized to decrease the influence of imbalance data issues, and subsequently, in the next phase, data is classified using the Naive Bayes classifier, decision trees classifier, Random Forest, and their ensembles. According to the experimental analysis, the XGBoost-Random Forest ensemble classifier outperforms with 98.20% accuracy in the early detection of breast cancer.

Introduction. COVID-19 is an infection caused by severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) which may be associated with a wide range of bacterial and fungal co-infections. Mucormycosis is an opportunistic fungal infection occurring in post COVID-19 patients. Objectives. To study the role of histopathology in mucormycosis and the predisposing factors associated in development of mucormycosis in post COVID-19 patients. Materials and methods. A prospective observational study was conducted in our hospital in the pathology department over a period of 3 months on 200 patients with mucormycosis who were infected with SARS-CoV-2 virus. Results. Out of the 200 patients with mucormycosis studied in post COVID-19 patients, age ranged from 21–80 years, of which 132 were men and 68 were women. Sites involved by mucormycosis were sinuses, orbit, cranium, and cutaneous. Ethmoid sinus was most involved, followed by maxillary sinus. Diabetes was present in 162 patients and hypertension in 92 patients. On histopathological examination, fungal load was severe in 49 patients, angioinvasion was present in 48 patients, perineural invasion was present in 32 patients, and necrosis was present in 121 patients. The number of patients discharged after surgery was 169, whereas 31 died. Conclusion. Histopathological features of mucormycosis like angioinvasion, perineural invasion, severe fungal load, and large areas of necrosis were directly proportional to the mortality rate. Thus, histopathologists can help in assessing prognosis at the time of tissue diagnosis, so that clinicians can optimize treatment accordingly. Diabetes and history of corticosteroid intake for treatment of COVID-19 were the two commonest predisposing factors for development of mucormycosis.

PurposeIn wireless sensor networks, improving the network lifetime is considered as the prime objective that needs to be significantly addressed during data aggregation. Among the traditional data aggregation techniques, cluster-based dominating set algorithms are identified as more effective in aggregating data through cluster heads. But, the existing cluster-based dominating set algorithms suffer from a major drawback of energy deficiency when a large number of communicating nodes need to collaborate for transferring the aggregated data. Further, due to this reason, the energy of each communicating node is gradually decreased and the network lifetime is also decreased. To increase the lifetime of the network, the proposed algorithm uses two sets: Dominating set and hit set.Design/methodology/approachThe proposed algorithm uses two sets: Dominating set and hit set. The dominating set constructs an unequal clustering, and the hit set minimizes the number of communicating nodes by selecting the optimized cluster head for transferring the aggregated data to the base station. The simulation results also infer that the proposed optimized unequal clustering algorithm (OUCA) is greater in improving the network lifetime to a maximum amount of 22% than the existing cluster head selection approach considered for examination.FindingsIn this paper, lifetime of the network is prolonged by constructing an unequal cluster using the dominating set and electing an optimized cluster head using hit set. The dominator set chooses the dominator based on the remaining energy and its node degree of each node. The optimized cluster head is chosen by the hit set to minimize the number of communicating nodes in the network. The proposed algorithm effectively constructs the clusters with a minimum number of communicating nodes using the dominating and hit set. The simulation result confirms that the proposed algorithm prolonging the lifetime of the network efficiently when compared with the existing algorithms.Originality/valueThe proposed algorithm effectively constructs the clusters with a minimum number of communicating nodes using the dominating and hit sets. The simulation result confirms that the proposed algorithm is prolonging the lifetime of the network efficiently when compared with the existing algorithms.

Introduction: Provisional restorations are an integral part of xed prosthesis and dental implantology. They serve as a key role in functional and esthetic tryin for design of nal prosthesis. Fixed prosthesis prognosis depends on the quality of provisional restoration. In long term cases like full mouth rehabilitation and in implant supported prosthesis exural strength (FS) and elastic modulus (EM) of the interim prosthesis play a vital role. Aim: To evaluate and compare the exural strength (FS) and elastic modulus (EM) of provisional crown and bridge materials stored at different time intervals in articial saliva. Materials And Methods: Ninety bar-shaped specimens (with dimensions of 25 × 2 × 2 mm) as per American National Standards Institute (ANSI specication no 27) were fabricated with three provisional restorative materials Polymethyl Methacrylate (PMMA), Bis acrylic, Urethane dimethacrylate (UDMA) and are stored in articial saliva at different time intervals. Further three point bending test were carried out in universal testing machine to calculate FS and EM. Changes were evaluated and data was analysed using one way ANOVA and paired t test. Results: Results showed signicant difference (P0.05) between 10days to 30days storage. There was non-signicant difference (p>0.05) of EM of bis-acryl samples between 24hrs to 10days and from10days to 30days of storage. Conclusion: Within the limitations of the study, it can be concluded that the FS and EM of Bis acrylic is comparatively better than PMMA and UDMA. Bis acrylic could be a better provisional restorative material for an extended period as less change was observed in elastic modulus of bisacryl during long term storage compared to other materials.

Plants are sessile and sensitive organisms that inevitably encounter a variety of abiotic stresses in nature. Abiotic stresses such as salinity, drought, heavy metal toxicity and extreme temperatures are critical factors that reduce crop yields by more than 50% worldwide. Sustainable agriculture in harsh environments requires an understanding of the ways that crop plants respond to both biotic and abiotic factors. The aim of the study was to determine the influence of water stress and heavy metals (Cd and Cr) singly and in combination on germination and seedling growth of two Green gram (VignaradiataL.Wilzec) cultivars.Seeds of two Green gram (Vignaradiata L. Wilczek ) cv. ML – 267, TM 96-2 cultivars were subjected to water stress by using PEG – 6000 ( -0.3 MPa , -0.6 MPa , -0.9 MPa and -1.2 MPa); Cadmium and Chromium(20,60,100,200,400ppm). The seed germination percentage decreased significantly with increasing concentration of Cd and Cr. Decreased osmotic potential caused a decrease in germination percentage. In comparison with the control treatment, the lowest germination rate values determined at -0.9MPa, 400 ppm Cd and 400 ppm Cr. Shoot and root length was reduced significantly with a rise in PEG and heavy metal levels. Cd concentration had a more depressing effect on the root than on the shoot growth. Interactive effects between heavy metal and water stress on dry weight and root length was significant. According to this study the interactive effect of both stresses were however, less than additive. References Almansouri, M., Kinet, J.M., Lutts, S. 2001. Effect of salt and osmotic stresses on germination in durum wheat. Plant Soil. 231: 243-254. AOSA. 1990. Rules for Testing Seeds, USA. J Seed Technol 12:1-112. Cavusoglu, K. and Emine, Y. 2010. Detection of lipid peroxidation and cytotoxicity induced by aluminium and cobalt ions in barbunia root tip cells. J. Env.Biol. 31: 661-666. Gelmond, H. 1978. Problems in crop seed germination. In: U.S. Gupta (ed.), Crop Physiology, PP:1-78. Oxford and I.B.H. Publishing Co., New Delhi. Kaydan, D. and Yagmur, M. 2008. Germination, Seedling growth and relative water content of shoot in different seed sizes of triticale under osmotic stress of water and NaCl. Afr.J. Biotechnol. 7: 2862-2868. Lobato, A.K.S., Oliveira Neto, C.F., Costa, R.C.L., Santos Filho, B.G., Cruz, F.J.R. and Laughinghouse IV, H.D. 2008. Biochemical and physiological behavior of VignaUnguiculata (L.) Walp. Under water stress during the vegetative phase. Asian Journal of Plant Sciences. 7(1): 44-49. Misra, V. and S.D. Pandey, 2002. Effect of distillery effluent and leachates of industrial sludge on the germination of Black gram. Poll. Res. 21(4), 461-467. Michel, B.E. and Kaufmann, M.R. 1973. The osmotic potential of polyethylene glycol 6000. Plant Physiology 51, 914-916. Masoud Sinaki J., Ghorban Nour mohammadi and Abbas Maleki. 2004. Effect of Water Deficit on Seedling, Plantlets and Compatible Solutes of Forage Sorghum cv. SpeedfeedICSC. Retreived from www.cropscience.org.au/ icsc 2004 Munzuroglu, O and Zengin, F.K. 2006. Effect of Cadmium on germination, coleoptiles and root growth of barley seeds in presence of gibberellic acid and kinetin. J. Env.Biol. 27: 671-677.

With the development of more compact and powerful methods of designing a digital logic on a silicon chip, most of the signal processing is being implemented in the digital domain. The implementation of an efficient reconfigurable digital decimation filter is presented in the work. In this paper we focuses with the implementation and design of a decimation filter which is used for hearing aid applications. We design decimation filter with the help of the canonic signed digit (CSD) representation. In decimation filter the cascaded integrated comb filter is designed using without multiplier less. The half band and corrector filters are designed using CSD. The decimation filter has been implemented on Xilinx FPGA using Virtex-2 technology and number of slices ,number of LUTs and number of registers are reported and also proposed design is implemented in synopsis design compiler for ASIC implementation and calculated area, power and delay. The resulting architecture is hardware efficient and consumes less power compared to conventional decimation filters. Compared to the normal decimation filter architecture, the proposed decimation filter architecture has less hardware saving of 60% and in addition, it decreases the power consumption of 80%, respectively and the proposed architecture is well suited for decimation filters of the hearing aids.

Investigation on evaluation of sesame genotypes for their relative resistance against leaf webber and capsule borer, Antigastra catalaunalis (Crambidae: Lepidoptera) was conducted at RARS, Jagtial during summer, 2020. A total of 68 sesame genotypes including TKG-22 (resistance check) and Swetha thil (susceptible check) were evaluated for their relative resistance/susceptibility. The intensity of leaf damage at 30 DAS is ranged from 5.00% (FFAT-10-5) to 25.00% (FFAT-142) whereas the mean leaf damage, 2.20% and 22.00% was found in resistant (TKG 22) and susceptible checks (Swetha thil), respectively. The mean percent flower damage at 50 DAS was recorded between 5.50% (JCS 3886 and JCS 4120) to 22.50% (FFAT-142 and JCS-3899) as against 4.50% and 19.00% in resistant (TKG-22) and susceptible (Swetha thil) checks respectively. The average percent capsule damage at 70 DAS is ranged from 2.75% (SI-225) to 9.00% (JCS 3603, JCS 3596 and JCS 4096) whereas, the mean capsule damage of 3.00% and 9.50% was recorded in resistant (TKG-22) and susceptible (Swetha thil) checks respectively. The sesame genotypes were categorized as highly resistant (HR), resistant (R), moderately resistant (MR), susceptible (S) and highly susceptible (HS) based on the cumulative score (0-9) and grade (1-9) of the individual genotype. Among 68 genotypes a total of 10 genotypes viz., IC-14120-1, SI-225, Jagtiala til-1, JCS 3980, JCS 3981, JCS 4053, JCS 3886, JCS 4120, YLM 11 and YLM 66 were showed less susceptibility to A. catalaunalis. These germplasm lines might be exploited in hybridization programme for development of the resistant cultivars.

PurposeThe miniscule wireless sensor nodes, engaged in the wide range of applications for its capability of monitoring the physical changes around, requires an improved routing strategy with the befitting sensor node arrangement that plays a vital part in ensuring a completeness of the network coverage.Design/methodology/approachThis paves way for the reduced energy consumption, the enhanced network connections and network longevity. The conventional methods and the evolutionary algorithms developed for arranging of the node ended with the less effectiveness and early convergence with the local optimum respectively.FindingsThe paper puts forward the befitting arrangement of the sensor nodes, cluster-head selection and the delayless routing using the ant lion (A-L) optimizer to achieve the substantial coverage, connection, the network-longevity and minimized energy consumption.Originality/valueThe further performance analysis of the proposed system is carried out with the simulation using the network simulator-2 and compared with the genetic algorithm and the particle swarm optimization algorithm to substantiate the competence of the proposed routing method using the ant lion optimization.

Alzheimer's Disease is a complex progressive neurodegenerative disorder characterized by neurofibrillary tangles and senile plaques in various parts of the brain particularly cerebral cortex affecting memory and cognition. Nuclear receptors such as Peroxisome proliferator-activated receptor γ [PPAR-γ] is reported to have a role in lipid and glucose homeostasis in the brain, reduces the synthesis of Aβ (beta-amyloid plaques) and also regulates mitochondrial biogenesis and inhibit the neuro-inflammation, which contributes for the improvement in the cognitive function in AD. Hence PPAR-γ is one of the newer targets for the researchers to understand the pathology of AD and to evolve the novel strategy to retard/reverse the progression of AD. PPAR-γ agonists such as Rosiglitazone and Pioglitazone have shown promising results in AD by decreasing neuro-inflammation and restoring glucose dysmetabolism leading to a reduction in neuronal deterioration. These agonists possess poor blood-brain permeability and are poor candidates for clinical use in AD. Therefore, search, design, and development for new PPAR- γ agonists with improved BBB penetration ability are imperative. The present work deals with the use of computational tools and techniques such as molecular docking, molecular dynamics to discover PPAR-γ agonists from the unexplored Seaweed Metabolite Database and predicts it's toxicological and physiochemical profile, thereby saving time and resources. Out of 1,110 seaweed compounds, the hit molecule BS052 displayed a strong binding affinity towards PPAR-γ, which possessed better lipid solubility indicating the potential to be considered as a PPAR-γ agonist, which may be useful in the management of AD.Communicated by Ramaswamy H. Sarma.

Smart device was developed to measure Intensity of Light and Temperature using LDR and LM35 IC Sensors. The principle is when light falls on the sensor, it changes the resistance of sensor changes which is then converted to change in voltage. The ADC pins on Bolt Wi-Fi Module convert this analog voltage level to digital values. LM35 is the sensors which senses the temperature of environment and based on its value it generate analog output voltage. This analog voltage by the LM35 is then given as input to Bolt A0 pin. The Bolt then converts the analog value to a 10 bit digital value that varies from 0 to 1023. This digital data is sent to the cloud through Bolt device.

A series of 2-(naphthalen-1-yl)-methyl-6-arylimidazo[2,1-b][1,3,4]thiadiazole derivatives was prepared and studied for cytotoxicity against murine leukemia L1210, human cervix carcinoma HeLa, and human T-lymphocyte CEM cell lines. The preliminary study showed that compounds 5g, 6g, 7a-c, 7e, and 8e were more potent among the tested compounds. The pharmacokinetic properties of all compounds were then investigated with FAF-Drugs, a tool for prediction of ADME and toxicity. Finally, in order to support in vitro studies, molecular docking studies were performed by using AutoDock Vina with a Lamarckian genetic algorithm to determine whether or not the synthesized compounds could be used as inhibitors for the protein structure 1m17 (EGFR). The docking scores of many compounds were found to be higher than [6,7-bis(2-methoxy-ethoxy)quinazoline-4-yl]-(3-ethynyl phenyl)amine, an inhibitor of the 1m17 EGFR receptor. Among the selected compounds 7b, 7c, 7e, 7f, 7g, and 8g showed better stability in the molecular dynamics simulation study.

Currently there are numerous portables in the retail which assist tracking the day-by-day actions of kids and furthermore help discover the kid utilizing Wi-Fi and Bluetooth directions available on the gadget. Bluetooth gives off an impression of being an untrustworthy mode of correspondence connecting the parent and kid. Along these lines, the pivotal motive of this chapter is to get an authorized corresponding medium that links the kid's portable and the parents. The genitor can send a book with explicit tags, for example, “location,” “temperature,” “UV,” “SOS,” “BUZZ,” and so forth. The portable device will response with a book encompassing the continuous precise region of the kid, which after monitoring hand down headings to the youngster's region on Google Maps software will similarly provide the atmospheric temperature and UV ray emission file with a goal that genitors can pursue if temperature or UV emission isn't reasonable to the kid.

Laboratories are essential facilities provided in professional institutes for scientific and technological work. The lab must ensure their accuracy to regulatory requirements and maintain their data records so that the laboratory environment can be monitored properly. The laboratory environment temperature (LET) is monitored to ensure proper regulation and maintenance of indoor conditions and also to correlate the collected samples with these conditions. The LET data collection must be stored to influence the quality of the results and to ensure the stability of the laboratory environment. Hence, an IoT solution is presented to supervise real-time temperature and is known as iRT. This method helps to monitor ambient object supervision in real time. It is composed of a hardware prototype to collect the temperature data and to use web application to provide the history of temperature evolution. The result gained from the study is promising, and it provides a significant contribution to IoT-based temperature monitoring systems.