IDRCNN: A Novel Deep Learning Network Model for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography

Early identification of pancreatic ductal adenocarcinoma (PDAC) improves prognosis. Still, it is difficult since lesions are generally smaller and difficult to define on contrast-enhanced computed tomography images (CE-CT). Ineffective PDAC diagnosis has recently been achieved using deep learning models, but the output localized and identified images are of poor quality. This research focuses on small lesions and presents a new, efficient automatic deep-learning network model for PDAC detection. The Improved Deep Residual Convolutional Neural Network (IDRCNN) detects PDAC. The hyperparameter is optimized using the Tunicate Swarm Optimization Algorithm (TSOA) algorithm. A better diagnosis is made due to segmenting the surrounding anatomy structure effects, such as PD. We train a proposed IDRCNN model for segmenting and detecting lesions automatically using CE-CT images. Two more IDRCNN models are trained with the aim of investigating the effects of anatomy integration: (i) segmentation of tumor and pancreas (IDRCNN_TP), and (ii) segmentation of pancreatic Duct (IDRCNN_PD). The three networks\u27 performance was assessed using an external, publicly available test set. Due to its effective classification results, the proposed method produces improved identification results for automated preliminary diagnosis of PDAC in cervical cancer clinics and hospitals. The performance of the proposed method is evaluated using a publicly assessable CT image dataset. It outperforms the existing state-of-the-art methods and achieved 98.67% accuracy, 97.26% recall, 98.52% precision, 97.65% sensitivity, and 98.45% specificity for pancreatic tumor detection

A prospective study on adverse drug reactions in outpatients and inpatients of medicine department in a tertiary care hospital

Background: No pharmacotherapeutic agent is completely free from noxious and unintended effects and thus adverse drug reactions (ADRs) are inevitable consequences of drug therapy. Incidence of ADRs in Indian population ranges between 1.8% and 25.1%. However, ADR reporting in India is inadequate. Developing awareness inpatients and healthcare professionals (HCPs) will help in reducing the ADRs, its suffering and socioeconomic impact. Hence, the present study of ADR monitoring in the outpatients and inpatients of the medicine department in a tertiary care hospital is undertaken. The main objective of this study was to assess the ADR reporting patterns in outpatient and inpatient of medicine department. The study was also aimed to assess the causality, severity, and preventability of these ADRs and comparison between spontaneous reporting by HCP and patient self-reporting of suspected ADRs.Methods: This study was a prospective observational study conducted in 111 consecutive patients who experienced ADRs in the department of medicine. The study plan included analysis and assessment of the clinical pattern, spectrum of ADRs reported based on causality, severity, preventability factors. The impact of ADRs on emotional, occupational, and social life of patients was evaluated. The assessments were compared between patient reporting and HCP reporting of ADRs.Results: The clinical spectrum of ADRs ranged from the more common mild reactions such as skin rashes, itching, nausea, and vomiting to moderately severe reactions prolonging the hospital stay. The predominant causative drugs were antimicrobials, antiretrovirals, non-steroidal anti-inflammatory drugs and antihypertensives. The majority of ADRs were probable in causality assessment, moderate in severity and probably preventable. Comparison of ADR reporting between patient and HCP revealed that ADRs reported by patient’s been less in incidence, similar in qualitative analysis to HCP with very elaborative narration and highlighted emotional and occupational impact due to ADRs than HCP reports.Conclusion: A wide range of ADRs are possible in medicine department. Adequate awareness of ADR reporting and precautions, while prescribing drugs are essential. Including patients as additional reporters of suspected ADR may add to the benefit of pharmacovigilance

Preliminary Phytochemical Evaluation of Certain Anticancer Crude Drugs Used by Adivasis of Rayalaseema Region, Andhra Pradesh, India

The present paper deals with preliminary phytochemical evaluation of certain crude drugs used for cancer. Based on the folklore data obtained from adivasis of Rayalaseema region, Andhra Pradesh, 15 species were collected in the forests of Eastern Ghats in the region. Three species were recorded as new formulations, which are hither to not reported earlier. The preliminary phytochemical screening was conducted on the drug samples, and composition of various groups of constituents was discussed

DATA VALIDATION AND RELIABILITY PROOF IN CLOUD STORAGE

To the rising storage costs of IT Enterprises, the cloud computing has been envisioned as the de-facto solution. For enterprises to frequently update their hardware with the high costs of data storage devices as well as the rapid rate at which data is being generated it proves costly. A part from decrease in storage costs data outsourcing to the cloud also helps in sinking the safeguarding. User does not have any control as they are remotely located and cloud storage moves the user’s data to large data centers. However, this exclusive feature of the cloud poses many new safety challenges which need to be clearly unspoken and resolved. To assure the customer of the integrity i.e. correctness of his data in the cloud is one of the important concerns that need to be addressed is. To check if the reliability of his data is maintained or is compromised as the data is physically not accessible to the user the cloud should provide a way for the user. In this paper, to check the correctness of data in the cloud, a scheme which gives a proof of data integrity in the cloud which the customer can employ is proposed here. Both the cloud and the customer and can be incorporated in the Service level agreement (SLA) and this proof can be agreed. This method ensures that the storage space at the client side is negligible which will be valuable for thin clients

Observation of direct and indirect magnetoelectricity in lead free ferroelectric (Na 0.5Bi 0.5TiO 3)-magnetostrictive (CoFe 2O 4) particulate composite

A particulate composite consisting of 65 mol. % Na 0.5Bi 0.5TiO 3 and 35 mol. % CoFe 2O 4 was synthesized, and it's structure, microstructure, ferroelectric, magnetostrictive, magnetic, and direct/indirect magnetoelectric properties were studied. The composite showed different magnetization behaviour under electrically poled and un-poled conditions. The percentage change in magnetization as a result of poling is approximately -15% at 500 Oe magnetic field. Magnetostriction measurements displayed a value of λ 11 = -57 × 10 -6 and piezomagnetic coefficient δλ 11/δH = 0.022 × 10 -6 kOe -1 at 2.2 kOe for the composite. The maximum magnetoelectric output varied from 1350 mV/cm to 2000 mV/cm with change in the electrical poling condition

Structural, Morphological and 1/f noise Properties of ITO/TiO2 thin Films by e-beam Evaporation System for Optoelectronic Device Applications

In the present research study, ITO/TiO2 thin films were prepared on a glass substrate by using an electron beam (e-beam) evaporation system at different annealing temperatures (300, 350, 400 and 450 °C). The amorphous and crystalline natures of ITO/TiO2 structure were analyzed by X-ray diffraction study. As the grain size becomes larger, indirectly it will develop the crystalline quality of the TiO2 films studied from AFM. The surface of TiO2 films and the crystalline size of the sample were increased gradually with respect to a temperature that is observed in SEM. The elemental composition determined by the energy dispersive analysis of EDAX showed that TiO2 thin films were highly stoichiometric. Further, the higher optical transmittance (93%) was obtained with 450 °C annealed ITO/TiO2 film. The optical band gap increased along with annealing temperatures (300, 350, 400 and 450 °C). All the above results of this present work can be utilized for solar cell and optoelectronic device applications. © 2020 Author(s)

SUPPORTING RANKING QUERIES FOR SEARCH-AS-YOU-TYPE IN DATABASES USING WIB

Searching is the one of the most important technique to search the required data from various sources. Search as you type is the current study to search the user requirement data from RDBMS. The main aim is to provide the high performance and to achive high speed to the proposed system. In this paper, to improve the performance of the existing system is integrated with auxiliary indexes stored as tables to increase search performance and single keyword queries and multiple keyword queries and develop novel techniques for fuzzy search using SQL by allowing mismatches between query keywords and answers. The proposed system shows the performance of the auxiliary table and WIP-based searching that supports ranking querie

Adverse drug reactions in paediatric patients in a tertiary care hospital in India: a prospective observational single centre study

Background: Adverse drug reactions (ADRs) are a major source of concern in adult and paediatric population. Monitoring ADRs in children is vital as they differ from adults in pharmacokinetic and pharmacodynamics responses. Strict ethical guidelines in clinical trials result in extrapolation of data from studies done in adults. Further, ADRs reported in adults do not predict those in children. Incidence of ADRs in children is 2.9% emphasizing the need for systematic monitoring. Studies at institutional level can generate valuable data among paediatric population. Hence, the current study was taken up to assess the clinical pattern of ADRs, their causality, severity and preventability.Methods: This is a prospective observational single centre study. Suspected cases of ADRs were collected and assessed for the clinical pattern, causality, severity and preventability factors along with gender-wise distribution.Results: A total of 118 ADRs were reported in our study. Most of the ADRs (46.67%) occurred below 1 year of age with male preponderance (53.4%). Skin was the most common organ involved (91.5%). Majority (78.8%) of ADRs were due to anti-infectives for systemic use (J). Vaccines were the most commonly implicated agents (55.9%) followed by antibiotics (22.9%). Severe reaction like DRESS syndrome was reported due to antiepileptics (including levetiracetam) requiring hospitalisation. Majority of ADRs were probable (92.4%), moderate (73.7%) and definitely preventable (61%).Conclusions: A wide range of ADRs are possible in paediatric population. Adequate knowledge about ADRs is essential and caution has to be exercised even while prescribing drugs which are considered safe in children