Bumper catch of silver pomfret Pampus argenteus at Satpati, Bombay

The article provies details about heavy catches of silver pomfret Pampus argenteus within a span of four days at Satpati, a fishing village in Thane District in Maharashtra during 1987

Corrosion Control of Kunifer-5 Seawater Piping Systems of Naval Ships by Cathodic Protection Technique

The cause of premature corrosion of Kunifer-5(copper alloy containing Ni 5 per cent and Fe 1.35 per cent) pipes used in seawater piping systems on board ships for feeding seawater to various units has been discussed. It has been shown that the Kunifer-5 alloys suffer from heavy corrosion-erosion attack at unavoidable bends and places where local seawater velocity exceeds the specified limit. The field observations as well as laboratory study have indicated that satisfactory protection of the pipes could be achieved by galvanic cathodic protection using aluminium alloy anodes

Wild Edible Plants Used By the Tribes of Akole Tahasil of Ahmednagar District (Ms), India

The present communication deals with the ethnobotanical exploration,identification,concerns and future potentialities of the wild edible plant species consumed by the tribal communities inhabiting in the hilly areas of akole tahasil of Ahmednagar district fall in Maharashtra state-India. A total of 31 plant species belonging to 23 families were reported from the study area. Amaranthaceae was the dominant family with 4 taxa,while Papilionaceae followed with 3 taxa. Ascplepidaceae and Bignoniaceae represented by 2 taxa each. The four major life forms were climbers, herbs, shrubs and trees. Herb makes up the highest proportion of the edible species followed by trees, shrubs and climbers. The plant species are divided into two class-vegetables and raw. Also the present finding support further investigation into nutritional profits, pharmacological prospects and conservational studies

Performance and study of variousbridge girders

According to various research papersthe design and analysis of various girders for steel and concrete by using v software STAAD Pro. And finite element method. In this project  theto check the analysis of bridge by using software. Hence, in this project determine the static analysis of T, I and Box girder. In these three girders which can be determine which is effective and economical to bridges.Both models are subjected to I.R.C. Loadings to produce maximum bending moment

SPEECH CONTROLLED ROBOCAR

The main goal of this paper is to introduce “hearing” sensor and also the speech synthesis to the robotic car such that it is capable to interact with human through Spoken Natural Language (NL). Speech recognition (SR) is a prominent technology, which helps us to introduce “hearing” as well as Natural Language (NL) interface through Speech for the interaction. The most challenging part of the entire system is designing and interfacing various stages together. Our approach was to get the analog voice signal being digitized. The frequency and pitch of words be stored in a memory. These stored words will be used for matching with the words spoken. When the match is found, the system outputs the address of stored words. Hence we have to decode the address and according to the address sensed, the car will perform the required task. Since we wanted the car to be wireless, we used RF module. The address was decoded using microcontroller (DSPIC30F) and then applied to RF module. This together with driver circuit at receivers end made complete intelligent systems

Review on Botnet Threat Detection in P2P

Botnets are nothing but the malicious codes such as viruses which are used for attacking the computers. These are act as threats and are very harmful. Due to distributed nature of botnets, it is hard to detect them in peer-to-peer networks. So we require the smarter technique to detect such threats. The automatic detection of botnet traffic is of high importance for service providers and large campus network monitoring. This paper gives the review on the various techniques used to detect such botnets. DOI: 10.17762/ijritcc2321-8169.15026

Mobile Phone Forensics Challenges and Tools Classification A Review

now every day billions of individuals use mobile phones in their daily activities, and generally, those activities would be criminal in nature. The exceptional advancements within the technology and increase in computing power of those devices over the previous few years, has junction rectifier to a rise of their practicality whereas keeping the dimensions of su ch devices sufficiently small to suit in a very pocket. The employment of mobile phones in criminal activities has junction rectifier to the necessity of sick the info in them. The acquisition of knowledge derived from cellular devices is often used as rhetorical proof that has become a main element of crime scene investigations. There square measure many common obstacles that lie before any mobile rhetorical skilled

Transfer and Ensemble Approach for Breast Cancer Detection and Classification Using Deep Learning

Breast cancer is a serious disease that can cause significant health problems for women worldwide. It is crucial to detect and classify breast cancer early stage so that doctors can promptly treat it and aid patients in their recovery. Many investigators have used various deep learning (DL) strategies to detect and classify breast cancer. However, due to the complexity of the problem, relying on a single DL model may not suffice to achieve high accuracy. Therefore, this study suggests a transfer and ensemble deep model for breast cancer detection and classification. The suggested model involves using pre-trained models such as Sequential, Xception, DenseNet201, VGG16, and InceptionResNetV2. The top three models are selected to collaborate and deliver the most accurate results. The proposed DL model was tested on publicly available breast BUSI datasets, demonstrating its superiority over single DL models, achieving an accuracy of 87.9% on the BUSI dataset. Additionally, the model proved to be adapTABLE to different amounts of data, making it potentially valuable in hospitals and clinics

Magnetotransport properties of individual InAs nanowires

We probe the magnetotransport properties of individual InAs nanowires in a field effect transistor geometry. In the low magnetic field regime we observe magnetoresistance that is well described by the weak localization (WL) description in diffusive conductors. The weak localization correction is modified to weak anti-localization (WAL) as the gate voltage is increased. We show that the gate voltage can be used to tune the phase coherence length ($l_\phi$) and spin-orbit length ($l_{so}$) by a factor of $\sim$ 2. In the high field and low temperature regime we observe the mobility of devices can be modified significantly as a function of magnetic field. We argue that the role of skipping orbits and the nature of surface scattering is essential in understanding high field magnetotransport in nanowires

A genome-wide association study suggests an association of Chr8p21.3 (GFRA2) with diabetic neuropathic pain

BACKGROUND: Neuropathic pain, caused by a lesion or a disease affecting the somatosensory system, is one of the most common complications in diabetic patients. The purpose of this study is to identify genetic factors contributing to this type of pain in a general diabetic population. METHOD: We accessed the Genetics of Diabetes Audit and Research Tayside (GoDARTS) datasets that contain prescription information and monofilament test results for 9439 diabetic patients, among which 6927 diabetic individuals were genotyped by Affymetrix SNP6.0 or Illumina OmniExpress chips. Cases of neuropathic pain were defined as diabetic patients with a prescription history of at least one of five drugs specifically indicated for the treatment of neuropathic pain and in whom monofilament test result was positive for sensory neuropathy in at least one foot. Controls were individuals who did not have a record of receiving any opioid analgesics. Imputation of non‐genotyped SNPs was performed by IMPUTE2, with reference files from 1000 Genomes Phase I datasets. RESULTS: After data cleaning and relevant exclusions, imputed genotypes of 572 diabetic neuropathic pain cases and 2491 diabetic controls were used in the Fisher's exact test. We identified a cluster in the Chr8p21.3, next to GFRA2 with a lowest p‐value of 1.77 × 10(−7) at rs17428041. The narrow‐sense heritability of this phenotype was 11.00%. CONCLUSION: This genome‐wide association study on diabetic neuropathic pain suggests new evidence for the involvement of variants near GFRA2 with the disorder, which needs to be verified in an independent cohort and at the molecular level