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Internet banking is one of the unavoidable advancements in the Information technology revolution. The advancement of Information technology and the Internet led the way to the evolution of internet banking. Internet banking connects the customers and the bank through the Internet to access certain services provided by the bank. It is the application of technological advancements for bestowing the available financial information resources in electronic form. This technology advancement also renders opportunities for banks to quickly and efficiently deliver specific services to the customers at anytime from anywhere without the physical visit of consumers at the bank locations.

Mobile ad-hoc network (MANET) is a network with two or more number of nodes with restricted energy constraint. The high dynamic nature in MANET attracts needs to consider the energy efficient features in their construct. The routing protocol is an important criterion to be considered for evaluating the performance of the MANET. Energy consumption plays vital role in MANET. Hence designing the scheme that supports energy efficient is much needed for the high dynamic MANET environment concerned. This paper proposes the Energy Efficient Routing (EER) protocol based on efficient route failure detection. The Scope of this paper is to suggest a fresh routing procedure for Mobile Adhoc Network minimizes unsuccessful communication. The projected procedure practices three important criterions to locate the path that assure authentic communication. The channel caliber, connection caliber and node’s residual energy is important reason for the failure of the node in MANET. Hence, the suggested routing mechanism believes these three different parameters to choose the finest node in the route. The reliable transmission and reception are attained by transferring information through route nominated by the suggested system verified by means of NS-2 simulator.

Nowadays energy theft in smart grids has led to severe economic loss to utility companies and countries across the world. Malicious users who illegally steal electricity from the distribution centre without getting noticed lead to unplanned power loss and blackouts in many developing countries. In order to prevent and find the malicious users who steal electricity, a system must be introduced in such a way that the malicious users will be identified easily in a large neighbourhood area network. In this work, to detect energy theft, a decision-making system using the Hadoop multi-cluster model with interpolation search algorithm has been proposed to calculate the actual energy consumed by every user and classify the user as the honest user or malicious user. The proposed interpolation-based approach is lightweight in its operation, which reduces the time complexity for predicting the malicious users in the NAN. The simulation results indicate that the proposed algorithm performs better than the existing approaches in terms of number of inspection steps, execution speed, detection accuracy and false-negative rate.

In recent years, recycling has been an attractive issue for researchers considering the sustainability of the wastes arising from different engineering applications. In this scope, recycled PET fib...

In the past decades to meet the increases in population demand, farmers have utilized huge amount of agrochemicals to increase the crop production. However, in the present era, there is an awareness regarding the adverse consequences posed by the agrochemicals to human health and the environment. Such concerns are driving the search for more environmentally friendly methods to control plant disease that will contribute to the goal of sustainability in agriculture. Plant growth promoting rhizobacteria (PGPR) are found to be a potential alternative to chemical pesticides with an ability to antagonize and prevent plant disease. Fluorescent pseudomonads are one of the common PGPR which have received much attention in recent years as biocontrol agent. Fluorescent pseudomonads are known for its production of diverse microbial metabolites including antibiotics, siderophores and volatile compounds such as HCN. Moreover, it also possesses plant growth-promoting traits such as nitrogen fixation, phosphate solubilization, iron chelation, and phytohormone production. Hence, this chapter will give an importance and overview of the Fluorescent pseudomonads as a potential biostimulant for sustainable crop production.

The integrated renewable sources and linear load connections are affected more when compared to the stand alone system. This leads to voltage and current changes from grid parameters in uncertain renewable sources. This research work has implemented hybrid control strategies to enhance renewable energy integration. From this technique, it can suppress the reactive power, which introduces unity power factor and harmonic content in the load current. To obtain the required control strategy in an active power filter, novel approaches are implemented b using a PIC microcontroller and then the entire system is simulated.

In this network environment, the different applications of sensor have to generate a huge data traffic which includes basic sensing methods such as air pollution or environment checking. In this huge congested network, the two-standard objective methods, that are objective method 0 (OM0) and objective method 1 OM1 for Congested Networks that has to perform deprived routing paths by picking an already congested parental node and a greater number of retransmissions happened between the networks. So, it is required that to design a new effective Routing Protocol for various congested environments. In our paper, I observe the RPL protocol for various congested networks and developed a new routing protocol technique (QWL-RPL) related with information of queue and node-wise workload. Objective of our developed Routing protocol has to attain an Optimum shortest path in challengeable performance. Our proposed Objective method has to consider connectivity capacity and also representing status of congestion in particular node or device using information of queue in data or packet. Our proposed routing technique was implemented in Cooja environment for comparing with the existing techniques. The results of simulation are shown through Queue status information and balanced Workload routing protocol of RPL that can reduce the data traffic of a various networks as related with OM0 and OM1, exactly specified terms of average delay, ratio of packets transmission and reception, jitter delay and header overhead information. At last, the results shown as on average, 30%–50% reduced header overhead information, 15%–30% reduced in average throughput delay, 10%–30% improvement in PRR and 25%–40% reduced in jitter delay.

Digital imaging becomes the foremost important techniques in environmental monitoring and exploration. Underwater images are used to assess variety and profusion of objects are adopted by marine biologists. The quality of underwater image is necessary in the field of deep-sea study for object annotations, identifications and classifications. Automatic processing of analyzing the images working to attain the objectives in reduced price and period. There are many challenges involved such as complex background, deformation, low resolution and light propagation. With the advancement automatic detection, the deep neural network has led in real-time scenarios to detect and recognize the objects. We used the basic image processing operations such as registration and registered and fusion before performing the feature extraction. By using these techniques the proposed system takes advantages and extracted more features. The Harries Detection method is used for detecting the matched points and principal component analysis is used for feature matching. We have implemented with MATLAB and compared results with the existing systems by calculating the Entropy (E), Root Mean Square Error (RMSE) and Peak Signal Noise Ratio (PSNR). The proposed system shows 98% of accuracy compared to the existing systems.

Blockchain (BC) methods is one of the best technologies in the Internet of Things (IoT) environments, it is a distributed sharing mechanism and communicate the IoT devices with secure manner. A blockchain is a connection of blocks and each block is linked to its earlier blocks. All block has the security hash code, previous block hash, and its data. The transaction between the BlockChain are the data is transfer between one IoT block nodes to another IoT Block node. The IoT device nodes are various types of physical devices like smart devices with embedded sensors, actuators, and capable of be in touch with other IoT device nodes. The responsibility of BlockChain in IoT is to grant a method to provide protected data transmission through IoT device nodes. In this paper discussed about the blockchain technology is how to secure the IoT transmission data and what are the challenges comes into these technologies. BlockChain is a safe method that can be used widely. IoT needs this type of skill to permit protected communication among IoT device nodes in mixed atmosphere.

The prospective competence of WSN theatres a most important role in extensive applications, for instance air pollution, monitoring environment, forest fire, military application, health care and so on. Generally, in WSN enormous number of nodes were deployed and in HWSN all nodes have different energy level. This article offers a survey of HWSN routing algorithms to prolong the battery life time and thereby enhancing the life time of entire network which becomes a serious challenge in many WSN applications.

Helpful interchanges empower productive usage of imparting parties, by permitting hubs or terminals in a correspondence organization. To help the correspondence, the organization enlists the neighboring hubs to team up with one another in data transmission. It is a promising strategy to save the force utilization during the information transmission. We demonstrated an agreeable transmission connect in remote organizations as a transmitter bunch and a recipient group. We at that point proposed an agreeable correspondence convention for foundation of these groups and for helpful transmission of information. The proposed framework utilizes an agreeable systems administration measure by which source hub sends a bundle to the following bounce. The following jump discovers its privilege and left hub to share the bundles for agreeable transmission of information. In Wireless Sensor Networks, hubs have restricted energy assets and, subsequently, conventions intended for sensor organizations should be energy-proficient. The helpful transmission permits the hubs to save the energy significantly contrast with other transmission advances. In helpful transmission, various hubs all the while get, disentangle and retransmit information parcels. The correspondence model is executed in Java and the intensity of the got signal at every center node of the accepting group is insignificantly high. This expanded force prompts generally speaking saving in organization energy and the information misfortune is diminished when contrasted with customary hub to hub correspondence.

Introduction: Upper limb nerve blocks are done commonly by brachial plexus (C5-T1) blocks via supraclavicular, infraclavicular approaches. Sometimes a single peripheral nerve needs additional block with local anaesthetic to achieve adequate block. Peripheral nerve blocks are useful for minor surgical procedures in a single nerve distribution. Aim: To study the course and clinical significance of the radial nerve in 50 cadaveric upper limbs. Materials and Methods: A cross-sectional study was conducted on 50 intact dissected upper limbs. The upper limbs were obtained from the Department of Anatomy, Sri Ramachandra Medical College from August 2020 to December 2020. Radial nerve was exposed by routine dissection in all the upper limbs and its entire course was studied and observed for any variation. The distance from the biceps tendon to the radial nerve at the elbow, distance of the radial nerve in the Lateral Intermuscular Septum (LIS) from the epicondyles at the elbow were measured. The results obtained were statistically analysed using Statistical Package for the Social Sciences (SPSS) version 16.0. Results: In present study, the mean distance of the radial nerve in the LIS to the medial epicondyle was 12.4±0.31 cm and to the lateral epicondyle was 12.1±0.28 cm. The mean distance from the biceps tendon to the radial nerve at the elbow was 1.75±0.22 cm. Conclusion: From the present study, it can be inferred that effective peripheral radial nerve block can be achieved by blocking the nerve 1.75 cm lateral to the biceps tendon at the elbow 3 cm above the elbow crease. This can be made comfortable to the patient and more precise by ultrasound localisation of the radial nerve.

Bio-phenolic based hybrid composites are used in engineering applications due of their better specific stiffness, strength, environmental resistance and thermal insulation properties. However, these composites cannot match the flammability resistance requirements for the high performance applications. Hence, numerous studies have attempted to enhance their fire retardant properties without deteriorating the physico-mechanical properties. Different approaches have been investigated to enhance the fire-retardant properties, such as the blending of phenolic resin with other polymers, addition of fillers, intumescent fire retardant coatings and chemical modification of the fibres. This article briefly presents an overview of the fire-retardant properties of the polymers, fibres and composites and the corresponding tests and standards involved. Recent studies on the improvement of fire-retardant characteristics of bio-phenolic hybrid composites with fillers were discussed.

The emergence and rapid spreading of novel SARS-CoV-2 across the globe represent an imminent threat to public health. Novel antiviral therapies are urgently needed to overcome this pandemic. Given the great role of main protease of Covid-19 for virus replication, we performed drug repurposing study using recently deposited main protease structure, 6LU7. For instance, pharmacophore- and e-pharmacophore-based hypotheses such as AARRH and AARR respectively were developed using available small molecule inhibitors and utilized in the screening of DrugBank repository. Further, hierarchical docking protocol was implemented with the support of Glide algorithm. The resultant compounds were then examined for its binding free energy against main protease of Covid-19 by means of Prime-MM/GBSA algorithm. Most importantly, the resultant compounds antiviral activities were further predicted by machine learning-based model generated by AutoQSAR algorithm. Finally, the hit molecules were examined for its drug likeness and its toxicity parameters through QikProp algorithm. Overall, the present analysis yielded four potential inhibitors (DB07800, DB08573, DB03744 and DB02986) that are predicted to bind with main protease of Covid-19 better than currently used drug molecules such as N3 (co-crystallized native ligand), Lopinavir and Ritonavir.

The energy crisis created by depletion of fossil fuels and the toxic emissions from the fossil fuel demands for eco-friendly potential alternative sources of energy. Even though unclean, bi...

To detect the region and bleeding frame in the wireless capsule endoscopy video, an automatic computer-aided technique is highly demanded to reduce the burden of physicians. The wireless capsule endoscopy (WCE), is an imaging technology which is recently established and doesn’t require any wired device. This device detects abnormalities in GI tract, i.e. (colon, esophagus, small intestine, and stomach). A WCE video consists of 57,000 images. It is very hard to examine by clinicians. To determine bleeding photos out of fifty-seven thousand WCE images makes the task very hard and expensive. The main goal is to develop an automatic obscure bleeding detection method by using superpixel segmentation and naive Bayes classifier. Naive Bayes and superpixel segmentation are used for this problem.

The reinforced concrete (RC) Structural frames with masonry infill walls are widely used in buildings. The elastic connection between infill walls and RC frames is recommended in order to reduce the unfavorable interaction between them. In this study, two-bay and three-storeyed RC bare structural frame, RC infill frame with Cement mortar of rigid interface and RC infill frame with different interface having various flexible elastic combinations are analyzed. The influence of constructional details of infill walls on the seismic behavior of RC Structural frames is analyzed. Literature survey carried out in this area indicates that not much work has been done in studying the influence of interface material's elastic properties on the behavior of structural infilled frame. This study becomes now all the more significant as the recent trend is to use insulation material instead of common rigid elastic cement mortar at the interface. The objective of this research work is to study the influence of different interface materials with elastic property on the behavior of structural infilled frames. The scope of the work covers the elastic behavior of reinforced concrete frame with brick masonry infill with three different elastic interface materials, namely the commonly used cement mortar, cork and Rubber Foam. The objective is achieved by both numerical and experimental studies. It is found that with the addition of masonry infill wall rigidly connected to the frame, the lateral strength, and the stiffness of the bare RC frame increase significantly. Compared with the infill wall with rigid elastic connection, the strength, the stiffness and the energy-dissipation capacity contributed by the infill wall with flexible elastic connection drop significantly, but the displacement of the structures rises up.

Financial inclusion is the process of providing financial service for the weaker of section of the society and make sure that all the section peoples are also availing all the financial service. It emphasis on the financial systems for the development of economy. Financial inclusion increase in the saving habit of individuals which lead to the overall development of economy developing to the developed economy. Future Financial inclusion helps in the exploitation of lower section adoption of borrowing facilitates from the banks instead of money lending agency by facilitating easy access to formal credit. Hence a study is proposed to be undertaken to study how for commercial banks playing their role to include the financially excluded people in the state of Karnataka with special reference to rural areas. The samples is selected by administering Random sampling technique. The total numbers of samples are 300, the collected data are analyzed with the help of statistical tool. Dr. Muthu Kumar V | Mr. Shashi Kumar M "Financial Inclusion- A Study on Role of Commercial Banks in the State of Karnataka (with Special Reference to Rural Areas)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21603.pdf

Background and Objectives: Adductor canal block is a regional anesthetic block procedure commonly employed for knee surgeries. This study aims at locating the adductor canal precisely which will be of great use for the surgeons operating on knee. Materials and Methods: Forty cadaveric lower limbs fixed with formalin were utilized for the study. The length of the lower limb from anterior superior iliac spine to the base of patella is measured, and the midpoint between the two is marked. Adductor canal is dissected and the distance between proximal foramen and the midpoint of thigh, the length of the adductor canal, and the distance between the distal foramen and the base of the patella are measured. Results: The mean value of the adductor canal is about 10.5 cm. The average distance from anterior superior iliac spine to proximal foramen is 25 cm. The average distance from base of patella to distal foramen is 8.5 cm. In 36 (90%) lower limbs, the proximal foramen is 3 cm distal to the midpoint of the thigh. Interpretation and Conclusion: This study suggests that a point more than 3 cm below the midpoint of thigh will be the ideal location for the approach of adductor canal block.

This study aimed to identify the patient demographics and describe the imaging patterns of Askin tumors. This was a retrospective evaluation of four patients diagnosed with Askin tumor, obtained from our hospital database. All the patients were diagnosed by histopathology and all of them underwent initial examination by chest radiography (mainly PA views) and later by contrast multi-detector computed tomography (MDCT). One case was further evaluated by magnetic resonance imaging (MRI). Final diagnosis was by histopathology. Patient demographics were identified, and images were assessed for location of the mass, the imaging patterns, presence of metastases, vessel invasion, presence or absence of pleural effusion, etc. Post-operatively, the patients were assessed for recurrence or remission of the disease. Of the four patients with Askin tumor, three were males. The youngest patient was aged 16 years, while the oldest was 33 years. Three of the four cases presented with right-sided manifestation. Rib erosion was seen in all the cases. One case had an atypical presentation, as the lesion presented as a multilocular cystic mass. Mild pleural effusion was seen in two of the cases. None of the patients had lymphadenopathy or metastases. Two of the patients showed remission and improvement on follow-up after surgery and chemotherapy. One patient showed partial relapse. The fourth patient refused treatment and was discharged against medical advice. Askin tumor should be definitely considered as a differential in the evaluation of small cell tumors of the thoracopulmonary region, especially in children and young adults. Chest radiography and chest multi-detector computed tomography (MDCT) are extremely useful for the initial and further evaluation of these patients, respectively.

The large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Bibliometric, information retrieval (IR), text mining, and natural language processing techniques can assist to address this challenge, but have yet to be widely used in digital libraries (DL). This special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL) was compiled after the first joint BIRNDL workshop that was held at the joint conference on digital libraries (JCDL 2016) in Newark, New Jersey, USA. It brought together IR and DL researchers and professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric, and recommendation techniques that can advance the state of the art in scholarly document understanding, analysis, and retrieval at scale. This special issue includes 14 papers: four extended papers originating from the first BIRNDL workshop 2016 and the BIR workshop at ECIR 2016, four extended system reports of the CL-SciSumm Shared Task 2016 and six original research papers submitted via the open call for papers.

Objective To identify the incidence of coronary artery anomalies and their subtypes in the South Asian (Indian) population using 128-slice MDCT angiography. Methods This was a retrospective study involving 3300 patients who were referred for coronary MDCT angiography over a period of 8 years (2008–2016). All patients were evaluated by means of 128 slice MDCT scanner (SIEMENS SOMATOM AS+). Results A total of 171 coronary artery anomalies (5.2%) were identified. These included 109 peripheral branch anomalies, 56 ACAOS with abnormal course, 5 anomalies of coronary origin only & 1 coronary arterio-venous fistula. Of these 28 RCA anomalies had malignant interarterial course and 27 LCA anomalies had benign retroaortic course and one with intramyocardial course. Conclusion 128 slice MDCT coronary angiography provides high temporal & spatial resolution along with a very precise volume rendering 3D imaging which enables the diagnosis of coronary artery anomalies unchallenging. Our study showed that the incidence of coronary artery anomalies was far higher in the Indian population when compared with the western or global population, emphasising further the need for such a study, in view of the high incidence of cardiovascular diseases in India when compared with the rest of the world.

There is a need for a collation and comparison of the content of the mobile medical applications (apps) to allow health care professionals to know precisely which app they can rely on to gain access to appropriate drugs references. This study aims to evaluate the features of mobile medical apps based on 3 major functions: Do sage recommendation, drug adverse Re action, A nd D rug I nteraction (DoReADI). A review and comparison of mobile apps available in Google’s Play Store (Android system) and Apple’s App Store (iOS system) were performed. The comparison was based on the availability of options, especially DoReADI functionalities. The assessment criteria were as follows: requirement for an Internet connection, subscription fee charged, size of app, dose recommendation, drug indication, dose calculator, drug picture, dose adjustment, pregnancy safety, interaction checker, interaction classification, clinical teaching advice, contraindicated drug, black box warning, adverse effect, contraindication or precaution, as well as toxicology and pharmacology information. Eight mobile medical apps were included and used to compare their features and functionalities. The 4 apps that scored the highest (14/17 points) are: Lexicomp ®, Epocrates ®, Micromedex ®, and Drugs.com ®. Lexicomp and Micromedex do not provide the image of the drug and have an access subscription fee. Epocrates does not provide interaction classification and clinical teaching advice, and occupies a large space in the memory to be installed. Meanwhile, My Blue Book ® scored the lowest (9/17 points) because certain features such as toxicology information, drug interaction, clinical teaching advice, contraindicated drug, and black box warning were not included. Based on the features assessment criteria of each mobile medical application, Lexicomp, Epocrates, Micromedex, and Drugs.com are the apps that scored the highest. Epocrates and Micromedex are useful for checking drug interactions. In addition, some of the apps have additional features for the DoReADI criteria, for example, dose calculator and interaction classification.

Mitral inflow obstruction caused by dilated coronary sinus is a rare congenital cardiac anomaly that must be differentiated from other causes of left ventricular inflow obstruction such as cor triatriatum, supramitral membrane, and supramitral ridge, because their surgical repair is different. Although preoperative transthoracic echocardiography is the primary imaging modality for diagnosis, intraoperative transesophageal echocardiography has a higher sensitivity and specificity over transthoracic echocardiography in differentiating these lesions. We report 2 cases of supramitral obstruction where the intraoperative transesophageal echocardiography has refined the preoperative diagnosis and changed the course of surgical repair.

The energy and exergy analysis of solar air heater having absorber plate corrugated in the shape of trapezoid along with sensible heat storage material is carried out. Gravel is used as a sensible heat storage material and placed below the absorber plate. Thermal performance analysis of solar air heater with and without sensible heat storage materials is carried out and compared with flat plate solar air heater. The parameters such as solar radiation intensity, temperatures at various positions in solar air heater, and daily thermal and exergy efficiency are calculated. The average daily thermal efficiency of flat plate solar air heater and that having trapezoidal corrugation are 8.5% and 12.2% respectively, while trapezoidal corrugated absorber with sensible heat storage material shows thermal efficiency of 36.6%. The maximum exergy efficiency obtained having trapezoidal corrugated absorber with sensible heat storage material is 12.56%.

The large scale of scholarly publications poses a challenge for scholars in information seeking and sense-making. Bibliometrics, information retrieval (IR), text mining, and NLP techniques could help in these activities, but are not yet widely implemented in digital libraries. The 2nd joint BIRNDL workshop was held at the 40th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017) in Tokyo, Japan. BIRNDL 2017 intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric, and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The workshop incorporated three paper sessions and the 3rd edition of the CL-SciSumm Shared Task.

In electricity networks where Back to Back (BTB) HVDC systems are connected to EHV AC lines having Fixed Series Compensators (FSCs), ferroresonance has been observed during post fault disturbances in the grid. This causes an undamped exchange of energy between FSC and the saturating magnetic circuits of the converter transformers in BTB HVDC system. This may also result in higher voltages and currents causing detrimental effects on power quality and sustained oscillations. Ferroresonance condition imposes threat to grid causing tripping of EHV lines, adversely affecting the reliability of the power system. In this paper, investigation on real cases of Ferroresonance observed in Southern Regional Grid of India in a BTB HVDC system at Gazuwaka have been discussed. Further, ferroresonace detection methods and techniques for mitigation of the effects of Ferroresonance have been discussed.

Biometrics is a mode of popularity and identification affirmation that uses physical attributes of a particular person that are impossible or as a minimum hard to mask. Finger-Knuckle-Print and ear print are examined to be maximum reliable physiological bio metric methods. These days a Finger Knuckle Print authentication based totally bio metric system has been efficaciously applied in various sectors. These unique Finger Knuckle Print and ear print authentication offers in reveals its user image that matches with its very own template that is stored inside the database for verification. An ear print is a replica of the parts outside the ear which have impressed a particular surface [3]. Many variants of local binary patterns are widely used for feature extraction process due to their satisfactory performance, for recognition purpose. An effective method of extracting feature patterns for Finger Knuckle Print (FKP) and ear has been proposed in this project. After extracting features of ear and FKP separately, they are fused by feature level fusion process which is done registration phase. The fused results of FKP and ear have been compared with the stored fused values in authentication phase. If the level of matching is achieved, that particular person gets authenticated to access the things else the person will be impostor [4]. This system gives more accuracy in less time. Challenges: The accuracy of authentication is improved in less duration. The chances of intruding is reduced.

Diabetes mellitus has become a pandemic in both developed and developing countries. It is estimated that by 2030 diabetes affected people will be around 100 million in India. Diabetes is most common type of disease found in the people of age from 41 to 60 due to inheritance, unhealthy diet causing obesity, reduced Insulin resistance and negative effects caused due to urbanization. Limited knowledge about diabetes causes a various adverse effect in health and it is necessary to spread awareness about Diabetes. To address this problem a Diabetes prediction portal has been developed which is used to get a dichotomous outcome. PIMA India diabetes dataset is used, and machine learning is used to train the data and k nearest neighbours provided highest accuracy was thus used in deployment. Flask web framework was used to handle HTTP requests of the predictions. HTML page was created to display the predictions.

The objective of our paper is to design and model a mobile application-controlled automobile screw jack using android programming as an Internet of Things platform. Today’s importance on technology expansion has projected a good design and quality product in a lesser time to ease the complicated process of human being. The development of software has become a vital in the digital world to satisfy a number of demands of the user or applications. In order to accomplish the demand of current era, the article has been modelled a design for a mobile enabled hydraulic screw jack system. The description of evolving design and signification of its industrial implication has been shown here. Screw jack used for automobiles is emerging as necessary technology expansion in the industry of automobiles to produce application that allows lifting heavy load on applying less effort. The primary importance of the design of automobile screw jack is to reduce human involvement and their contribution to lift a load. Further there is a significance increases in the efficiency of screw jack model and its designs as ergonomically, (i.e.) neglecting of the complex operating as well as positioning of the screw jack by the operators. On usage of hydraulic system and pneumatic system, the system reduces involvement to lift load on basis of the computation calculation. But in this case also complexity in the posture and position of worker during the operation remains the same here. Hence, we have to design a jack for car which is motorised for easiness of use. But somehow in any case of failure in this electronic system, then the jack will be not able to work further manually. In this work, the entire setup is administrated by mobile application which is constructed as MIT app maker and the important functionality of this project is controlled using Arduino Uno which controls all the motors by obtaining signals from the app with help of a wifi module (ESP8266), Arduino builds the code which is encoded into it by Arduino encoder. Entire assembly is propagated by 60 RPM DC motors. Importance of this model is to make system as effortless and fast response in weight lifting, further it reduces the physical fatigue felt by the weight lift operating employee. Experimental results prove that proposed model outperforms the existing Bluetooth based model on terms of the efficiency and accuracy.

Introduction : Abiraterone Acetate (AA) improves outcome of patients with castrate resistant prostate cancer (CRPC) and is currently recommended for chemo-naA¯ve patients and after progression on chemotherapy. We reviewed our initial experience with the use of AA in these patients. Patients and Methods : Forty six consecutive CRPC patients were treated with AA 1000 mg/day and prednisolone 5 mg twice daily in 2 cancer centres in England and Saudi Arabia. Treatment was continued until disease progression or unacceptable toxicity. Patients achieving prostate specific antigen decline (PSA) ≥ 50% were considered as marker responders. Results : Median age was 76 (52-91) years. 28 and 18 patients received AA in pre-chemotherapy and post-chemotherapy setting respectively. PSA marker response was achieved in 56.1% (23/41) assessable patients. Objective radiological response rate was seen in 31.6% (6/19) and stable disease in 15.8% (3/19) assessable patients. After a median follow up of 20 months, median time to PSA progression was 12 months (95% CI: 9.5-14.5) and median overall survival was not reached (mean = 21 months, 95% CI: 18-24.5). Toxicity was assessed in 18 patients. All grades adverse events of special interest were hypokalaemia (22%) and hypertension (11%). Conclusion : In daily clinical practice, AA is an effective treatment for patients with CRPC. It produces meaningful marker and objective responses, marker progression free survival and OS that are comparable to those reported in clinical trials. Monitoring of blood pressure and serum potassium is recommended.

Objectives: The objectives of the study are: (i) To determine if periodic acid–Schiff (PAS)-Diastase is an effective tool to diagnose DM noninvasively, (ii) to use three different types of staining procedures to identify the staining pattern over the exfoliated cells of normal and diabetic patients, (iii) to study the periodontal health status of DM and normal subjects. Materials and Methods: Basic questions regarding the demographic data were asked, following which community periodontal index (CPI) was recorded. Oral smears were collected from clinically normal buccal mucosa of 150 patients using wooden tongue spatulas. The subjects were asked to gargle their mouth with water and the wooden spatula was scraped at the site from buccal mucosa. The smears were spread evenly on a dry clean glass slide and fixed immediately with absolute ethyl alcohol. Three slides were prepared for each of the patients. PAS, PAS with diastase digestion, and Papanicolaou staining were performed and examined under a microscope. Results: Average CPI for study subjects was 3.2 and control subjects was 2.1. The average loss of attachment was 1.1 in the study group and 0.2 in the control group (P - 0.00) and the result are statistically highly significant. All the 150 cases (100%) were positive for PAS staining, while PAS-diastase (PAS-D) staining showed positivity only for normal subjects and was negative (100%) in the diabetic group (P - 0.00) and the result are statistically highly significant. Conclusions: Results of our study showed that exfoliative cytology of the oral cavity, when stained with PAS and PAS-D, can be used as an effective screening and diagnostic tool for DM patients.

Iatrogenic injury to the aortic valve is a rare but frequently reported complication during mitral valve surgeries. Intraoperative 2-dimensional transesophageal echocardiography (2D TEE) has a major impact in diagnosing these injuries, so that timely intervention is possible. However, 2D TEE has lot of limitations during the perioperative period, which can be overcome by the three dimensional echocardiography (3D-TEE). We report a case where 3D TEE has undoubtedly delineated the cause for distortion of aortic sinus after mitral valve replacement and helped in the successful outcome.

The large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Information retrieval~(IR), bibliometric and natural language processing (NLP) techniques could enhance scholarly search, retrieval and user experience but are not yet widely used. To this purpose, we propose the third iteration of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL). The workshop is intended to stimulate IR, NLP researchers and Digital Library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometrics, text mining and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The BIRNDL workshop will incorporate multiple invited talks, paper sessions, a poster session and the 4th edition of the Computational Linguistics (CL) Scientific Summarization Shared Task.

Internet is a huge platform where network communication and cloud computing plays a major role, in which sharing of digital objects in multimedia applications creates more similarities in recent years. Due to lack of security, the transfer of two dimensional data among the users is being compromised. In this paper both network as well image security is considered. In wireless network seurity, ARP Spoofing attack analysis and anti-attack using tunnel are carried out. For 2D data one of the best solutions is chaos based crypto system model for image encryption. In this paper, image encryption employs confusion and two stages of diffusion processes with key stream of chaotic sequence generation using logistic map. Performance of the the proposed algorithm is tested through the metrics and comparison with the existing literatures shows the proposed approach is good to resist the statistical and differential attacks.