A Hybrid Based RecommendationSystem based on Clustering and Association

Recommendation systems play an important role in filtering and customizing the desired information. Recommender system are divided into 3 categories i.e collaborative filtering , contentbased filtering, and hybrid filtering are the most adopted techniques being utilized in recommender systems. The main aim of this paper is to recommend the best suitable items to the user. In this paper the approach is to cluster the data and applying the association mining over clustering. The paper describes about different hybridization methods and discuss various limitations of current recommendation methods such as cold-start problem ,Graysheep problem,how to find the similarity between users and items and discuss possible extensions that can improve recommendation capabilities in range of applications extensions such as , improvement of understanding of users and items incorporation ofthe contextual information into the recommendation process, support for multicriteria ratings

The effect of chemical mutagen on haemolymph proteins of silkworm, Bombyx mori L.(Lepidoptera: Bombycidae) in F 1 stage

The chemical mutagen Diethylsulphate (DES) was treated to the mulberry silkworm, NB4D2 breed at the age, fifth instar fifth day with different concentrations (8mM and 10mM) by injection and spray methods. The F1 progeny was obtained from DES treated and control sets by selfing the moths. The quantitative analysis of haemolymph proteins revealed that 8mM injection set exhibit higher levels when compared with control and treated sets. The quantitative analysis also clearly indicate the variations in the number as well as intensity of the protein bands

AVID triad: a case report

Asymmetric ventriculomegaly, interhemispheric cyst and dysgenesis of the corpus callosum (AVID) constitutes a rare imaging triad. Additional findings include subcortical and subependymal heterotopia, polymicrogyria, fused thalami, deficient falx, and hydrocephalus. The knowledge of this triad helps us to diagnose prenatally by sonography and fetal MRI. In this case report authors present MRI Imaging findings in a case of AVID syndrome in a 6year old male child presenting with history of seizures and delayed milestones

Awareness Regarding Zoonotic Diseases among the Butchers of Proddatur, Kadapa Dist., A.P., India

Zoonotic diseases present an ongoing public health concern. Most human infections with zoonoses come from livestock, including pigs, chickens, cattle, goats, sheep and camels. Butchers constitute the high risk group in the transmission of zoonotic diseases. The educational status and awareness regarding the information, identification and transmission of zoonotic diseases among this high risk group, is critical in controlling the spread of zoonotic diseases. Hence, a study has been designed to evaluate the educational status, awareness among the butchers regarding the various zoonotic diseases and their modes of transmission and the effluent treatment methods followed by the butchers in and around Proddatur, Andhra Pradesh. The survey revealed that 86 percent of the butchers had high school education and most of them acquired this profession from their ancestors. 60 percent of the butchers were having awareness regarding the commonly occurring zoonotic diseases, 81 percent of butchers identified the disease by observing the lesions and were familiar with their control. Some of the butchers follow the hygienic practices and majority of them (81.4 %) were interested in attending training programmes pertaining to zoonotic diseases

Impact of COVID-19 pandemic (wave 2) and associated lockdown on wound care and the resultant increase in the number of amputations

Background: The COVID-19 pandemic has had an unparalleled impact on the socio-economic and healthcare structure of the entire world, including India. The risk of major amputations has increased during the COVID-19 lockdown.Aim of the study was to conduct a single-centered study on the prevalence of major amputations during the pre-pandemic and pandemic period to evaluate the indirect effect of the COVID-19 lockdown on people with lower limb cellulites and wounds. This study also emphasizes on the importance of easy and routine access to foot-care specialist.Methods: The data of patients attending the outpatient and emergency room of general surgery in K. R. Hospital with complaints of cellulites/wounds/ulcers during the months of March to July was evaluated. The number of amputations done during same time period was analyzed.Results: The patients attending outpatient department (OPD) during the lockdown had a fall, while cases and amputations immediately after lockdown had increased.Conclusions: The findings of the present study, reiterate the role of preventive actions in wound care and stress on the importance awareness of complications if such wounds are ignored

Unmanned Aerial Vehicle Design for Smart City Application

Nowadays, Unmanned Aerial Vehicles (UAVs) or drones are also one of the applications to provide the required services and to gather information from the target location.  Because smart city applications effectively deal the drone interaction and enhance the human lifestyle with drones. Moreover, UAVs are generally utilized due to their privacy threats, lower cost, pose security, and versatility, which request dependable detection at lower altitudes. However, the less sensing module in the drone has earned the low sensing accuracy of location tracking. So, this paper aims to develop a novel Firefly-based Recurrent Neural Mechanism (FRNM) to enrich the sensing capacity of the drone vehicle. In addition, the sound of the research is medicine delivery through UAVs in emergencies. This UAV system is one of the most crucial features to delivering essential medical items aids by reaching properly correspondent patients.  Moreover, the client's needs are stored in the FRNM cloud then that stored data is trained to the UAV machine. Hereafter, based on the trained details, the drone can reach the destination and has delivered the requested medicine to the specific clients. The planned design is drawn in Network Simulator (NS2) environment, and the robustness of the projected replica is valued by calculating the chief parameters. Hereafter, the improvement score was valued by the comparison assessment. Hence, the FRNM has reported the finest performance by earning less location finding duration, running period, and error rate

CARDIOPROTECTIVE ACTIVITY OF LEAVES OF KIGELIA AFRICANA ON ISOPRENALINE INDUCED MYOCARDIAL INFARCTION

Kigelia Africana is an herbal medicinal plant and it is used to cure different disorders. The present study was involved in cardioprotective activity of leaves of Kigelia Africana on ISO induced myocardial injury. Male wistar rats are divided into five groups of six animals each. All the grouped rats were pre-treated with the extract and standard (propranolol 10 mg/kg) either s.c. or orally for eight days. Then, they were given 5.25 and 8.5 mg/kg isopreterenol s.c. on two consecutive days. Early treatment with extract of Kigelia Africana 100mg/kg, 200 mg/kg showed significant decrease in level of serum marker enzymes aspartate transaminase (AST), lactate dehydrogenase (LDH), alanine transaminase (ALT), alkaline phosphatase (ALP), changes in the oxidative stress markers like lipid peroxidase (LPO), glutathione (GSH), catalase (CAT), and superoxide dismutase (SOD) caused by ISO (5.25 and 8.5 mg/kg). The defence action of leaves of Kigelia Africana concluded by observing histopathology and are more consistent at 200mg/kg. Hence, we conclude that pre-treatment with extract of leaves of Kigelia Africana more barrier aganist the ISO induced myocardial injury

Adaptive scheduled partitioning technique for reliable emergency message broadcasting in VANET for intelligent transportation systems

This paper aims to enable accurate and reliable emergency message broadcast in Vehicular Ad hoc Network (VANET). The VANET is the most common topology used in Intelligent Transportation Systems (ITS), where changes in standard topology due to the mobility of nodes create challenges in broadcasting the emergency message and efficient data delivery in both highway and urban scenarios. The main problems in urban scenarios are channel contention, message redundancy and road structure. To obtain information, broadcast protocols for VANET typically use beacon messages, which are distributed among the vehicles. When multiple vehicles transmit messages at the same time, a broadcast storm occurs and vehicles experience message delivery failure. To address this problem, Adaptive Scheduled Partitioning and Broadcasting Technique (ASPBT) for emergency message broadcast and beacon retransmissions for message reliability were proposed. This protocol dynamically modifies several partitions and beacon periodicity to reduce the number of retransmissions. Later, the partition size is determined by estimating the network transmission density of each partition schedule via the Black Widow Optimization (BWO) algorithm is proposed. The simulation is carried out with different network densities at the vehicle speed of 110 km/h, a direct path length of 12 km under a four-way direction path and performance analysis was performed

Exploitation of SPR to Investigate the Importance of Glycan Chains in the Interaction between Lactoferrin and Bacteria

peer-reviewedBovine lactoferrin (LF) has been shown to prevent adhesion to and invasion of mammalian cell lines by pathogenic bacteria, with evidence for direct bacterial binding by the milk glycoprotein. However, the glycosylation pattern of LF changes over the lactation cycle. In this study, we aim to investigate the effect that this variation has on the milk glycoprotein’s ability to interact with pathogens. Surface plasmon resonance technology was employed to compare the binding of LF from colostrum (early lactation) and mature milk (late lactation) to a panel of pathogenic bacteria (Staphylococcus aureus, Escherichia coli, Cronobacter sakazakii, Streptococcus pneumoniae, Pseudomonas aeruginosa, Listeria monocytogenes and Salmonella typhimurium). Novel interactions with LF were identified for C. sakazakii, S. pneumoniae and P. aeruginosa with the highest binding ability observed for mature milk LF in all cases, with the exception of S. typhimurium. The difference in bacterial binding observed may be as a result of the varying glycosylation profiles. This work demonstrates the potential of LF as a functional food ingredient to prevent bacterial infectio