A RADIO NETWORK TO OBSERVER MACHINES USED EXTENSIVELY FOR ILL-ONES

The Bottom Station system is designed to get and provide the data sent in the User Nodes to some nearby hospital’s patient monitoring computer via a WIFI connection. There's little existing technology allowing hospitals to watch DME-dependent patients without needing the current infrastructure, like the land lines, the cell towers, Ethernet cable or even the Internet. Electricity-operated durable medical equipment (DME), for example ventilators, and patient monitoring products, are existence-supporting machines used extensively by patients in your own home. While convenient and economical, use at home of DME is prone to power outages, particularly the ones brought on by disasters that frequently exist in large area as well as for a lengthy duration. Reported here in is really a novel wireless system that employees an invisible random network to automatically report the patient’s information and placement, and the DME information and standing to some nearby hospital when power outage is detected. This technique includes a double edged sword: hospital-based receiving device, known as the bottom Station node, and multiple transmitting products, known as User Nodes, each connected to the DME at patients’ homes. The Bottom Station and User Nodes is each constructed with an ARM microcontroller. Furthermore, each User Node consists of a standing Brought and a battery connected with a charge controller. User Nodes are designed and monitor the DME status using WIFI, Transmit the information and relay information towards the Base Station with the radio random network the nodes form in the case of the power outage. This technique works without depending on the infrastructure, and enables hospital staff to understand the information and locations of DME as well as their customers and provide help needed during power outages

REGULATORY DOSSIER- ASEAN COMMON TECHNICAL DOCUMENT (ACTD) FOR ASEM COUNTRIES

The Regulatory Affairs department is very often the first point of contact between the government authorities and the company. The attitudes and actions of Regulatory Affairs Professionals will condition the perceptions of the government officials to the company. Dossier is a collection or file of documents on the same subject, especially a file containing detailed information about a person or a topic. Any preparation for human use that is intended to modify or explore physiological systems or pathological states for the benefit of the recipient is called as “pharmaceutical product for human use”. This guideline merely demonstrates an appropriate write-up format for acquired data. Throughout the ACTD, the display of information should be unambiguous and transparent, in order to facilitate the review of the basic data and to help a reviewer become quickly oriented to the application contents. This ASEAN Common Technical Dossier (ACTD) is a guideline of the agreed upon common format for the preparation of a well-structured Common Technical Dossier (CTD) applications that will be submitted to ASEAN regulatory authorities for the registration of pharmaceuticals for human use. This guideline describes a CTD format that will significantly reduce the time and resources needed to compile applications for registration and in the future, will ease the preparation of electronic documental submissions. ICH‐ECTD is an internationally driven standard designed to reduce cost in the administration, assessment and archiving of applications for marketing authorization of medicinal products for human use, to reduce the use of paper and streamline the assessment process making the system more efficient

Micro-blogging attributes to Latent Feature Representation for Product Recommendations

We suggest to use the linked users through social networking sites and e-commerce websites as a link to map users’ social networking structures to added feature demonstration for product recommendation. In detailed, we suggest wisdom both users’ and products’ feature illustrations (called user embeddings and product embeddings, individually) from data collected from e-commerce websites using repeated neural networks and then apply a improved gradient boosting trees technique to change users’ social networking structures into user embeddings. We then improve a feature-based matrix factorization method which can leverage the learnt user embeddings for cold-start product recommendation

Study of MRI lesions in severe preeclampsia and eclampsia in General Government Hospital Guntur, India

Background: Study of MRI lesions in patients with PE with severe features and eclampsia and its correlation with clinical findings and laboratory values. Methods: This prospective observational study was conducted in HDU, Department of Obstetrics and Gynecology, GGH Guntur. 50 patients with preeclampsia and eclampsia divided into two groups based on MRI findings:  controls (normal MRI), cases (abnormal MRI). Results analyzed with Chi Square test and student T test. Results: Out of 50 cases, abnormal MRI findings were observed in 24 (48%) cases and 26 (52%) showed normal MRI findings. PRES lesions majority 20 cases (40%), GLIOSIS in 2 (4%) cases, CSVT in 1 (2%) patients, cerebral hemorrhage seen in 1 (2%) patient.  Majority are unbooked cases n= 38 (76%), booked cases n=12 (24%). Symptoms like irritability, headache, unconsciousness, dimness of vision and seizures correlated well with positive MRI findings (P=0.001, P=0.001, P=0.002, P=0.005, P=0.000respectively). Nausea/vomiting and high BP recordings not correlated with positive MRI findings (P=0.21, P=0.312 respectively). Abnormality in blood counts, serum fibrinogen, serum uric acid, PT, APTT and PT INR are not correlated with positive MRI lesions. Conclusions: Symptoms/signs like unconsciousness, irritability, blurring of vision, headache, seizures, GCS <3 and unbooked status of patients of eclampsia and preeclampsia should be a warning for possible development of MRI brain lesions. Whereas nausea, vomiting and high BP recordings are not significantly associated with positive brain lesions in MRI

UV SPECTROPHOTOMETRIC METHOD DEVELOPMENT AND VALIDATION FOR SIMULTANEOUS ESTIMATION OF ALPRAZOLAM AND MEBEVERINE HYDROCHLORIDE IN BULK DRUG AND PHARMACEUTICAL FORMULATION

A simple, accurate, precise, sensitive, rapid and economical spectrophotometric method was developed and validated for simultaneous estimation of Alprazolam (ALP) and Mebeverine HCl (MBH) in bulk drug and pharmaceutical formulation. The estimation of these drugs was carried out by using 0.1M HCl as a solvent. The wavelength maxima for Alprazolam and Mebeverine HCl were found to be 262.3 nm and 222.5 nm. The linearity range was observed in the concentration range of 3-15 µg/ml for both drugs and regression equation was found to be for ALP 0.0565x+0.0138 and for MBH 0.049x-0.0126. Percentage recoveries for Alprazolam and Mebeverine HCl were found to be 99.84% and 99.47% respectively. % RSD values for Intra-day precision were found to be for ALP 1.18% and for MBH 0.59%. Inter-day precision %RSD values were found to be for ALP 0.94% and for MBH 0.69%. LOD was found to be for ALP 1.42 (µg/ml) and for MBH 2.1542 (µg/ml). LOQ was found to be for ALP 4.3242 (µg/ml) and for MBH 6.5442 (µg/ml). The %Assay of Alprazolam and Mebeverine HCl were found to be 99.20% and 100.02% respectively. Statistical analysis proved that the developed method can be successfully used for simultaneous analysis of Alprazolam and Mebeverne HCl in pure and tablet dosage forms

Topology Optimisation of A Two Point Load case Continuum Structure using Firefly Algorithm - IV

Topology optimization is a relatively new and emerging area of research in the field ofstructural engineering. The idea is to determine the optimum distribution of material in thegiven design domain and not to focus on shape or correcting the dimensions of initialdesigns. Metaheuristics are widely used in the field of optimization of continuum structures.Firefly algorithm proposed by Xin-She Yang is considered as one of the best performingalgorithms which require fewer iterations to converge. This paper is a series of ongoingresearch work in structural optimization using firefly algorithm. The focus of this paper is tooptimize a two point load case problem one of the complex in the field of optimizationinvolving several degrees of freedom. An attempt has been made to verify the distribution ofmaterial and the convergence of the firefly algorithm. The analysis shows that the algorithmis very effective to determine the distribution of material and the final distribution is a nearapproximation of the theoretical distribution

International Journal of Chemical and Physical Sciences Binary Phase Diagramand Thin Film Coatings of Bimetallic Oxides using Bis(N-isopropylsalicylaldimine)M(II) M = Co, Ni and Zn as a Single Source Precursor for Thermal Chemical Vapor Deposition Binary

Abstract The metal Schiff base complexes of bis(N-isopropylsalicylaldimine)coblt(II), bis(N-isopropylsalicylaldimine)nickel(II) and bis (N-isopropylsalicylaldimine

A novel tissue-specific meta-analysis approach for gene expression predictions, initiated with a mammalian gene expression testis database

<p>Abstract</p> <p>Background</p> <p>In the recent years, there has been a rise in gene expression profiling reports. Unfortunately, it has not been possible to make maximum use of available gene expression data. Many databases and programs can be used to derive the possible expression patterns of mammalian genes, based on existing data. However, these available resources have limitations. For example, it is not possible to obtain a list of genes that are expressed in certain conditions. To overcome such limitations, we have taken up a new strategy to predict gene expression patterns using available information, for one tissue at a time.</p> <p>Results</p> <p>The first step of this approach involved manual collection of maximum data derived from large-scale (genome-wide) gene expression studies, pertaining to mammalian testis. These data have been compiled into a Mammalian Gene Expression Testis-database (MGEx-Tdb). This process resulted in a richer collection of gene expression data compared to other databases/resources, for multiple testicular conditions. The gene-lists collected this way in turn were exploited to derive a 'consensus' expression status for each gene, across studies. The expression information obtained from the newly developed database mostly agreed with results from multiple small-scale studies on selected genes. A comparative analysis showed that MGEx-Tdb can retrieve the gene expression information more efficiently than other commonly used databases. It has the ability to provide a clear expression status (transcribed or dormant) for most genes, in the testis tissue, under several specific physiological/experimental conditions and/or cell-types.</p> <p>Conclusions</p> <p>Manual compilation of gene expression data, which can be a painstaking process, followed by a consensus expression status determination for specific locations and conditions, can be a reliable way of making use of the existing data to predict gene expression patterns. MGEx-Tdb provides expression information for 14 different combinations of specific locations and conditions in humans (25,158 genes), 79 in mice (22,919 genes) and 23 in rats (14,108 genes). It is also the first system that can predict expression of genes with a 'reliability-score', which is calculated based on the extent of agreements and contradictions across gene-sets/studies. This new platform is publicly available at the following web address: <url>http://resource.ibab.ac.in/MGEx-Tdb/</url></p

Benefits and challenges in implementation of artificial intelligence in colonoscopy: World Endoscopy Organization position statement

The number of artificial intelligence (AI) tools for colonoscopy on the market is increasing with supporting clinical evidence. Nevertheless, their implementation is not going smoothly for a variety of reasons, including lack of data on clinical benefits and cost-effectiveness, lack of trustworthy guidelines, uncertain indications, and cost for implementation. To address this issue and better guide practitioners, the World Endoscopy Organization (WEO) has provided its perspective about the status of AI in colonoscopy as the position statement. WEO Position Statement: Statement 1.1: Computer-aided detection (CADe) for colorectal polyps is likely to improve colonoscopy effectiveness by reducing adenoma miss rates and thus increase adenoma detection; Statement 1.2: In the short term, use of CADe is likely to increase health-care costs by detecting more adenomas; Statement 1.3: In the long term, the increased cost by CADe could be balanced by savings in costs related to cancer treatment (surgery, chemotherapy, palliative care) due to CADe-related cancer prevention; Statement 1.4: Health-care delivery systems and authorities should evaluate the cost-effectiveness of CADe to support its use in clinical practice; Statement 2.1: Computer-aided diagnosis (CADx) for diminutive polyps (≤5 mm), when it has sufficient accuracy, is expected to reduce health-care costs by reducing polypectomies, pathological examinations, or both; Statement 2.2: Health-care delivery systems and authorities should evaluate the cost-effectiveness of CADx to support its use in clinical practice; Statement 3: We recommend that a broad range of high-quality cost-effectiveness research should be undertaken to understand whether AI implementation benefits populations and societies in different health-care systems