386 research outputs found
Performance analysis of machine learning applications on rapid: a highly parallel computer architecture
No full textOver the past few years, the interest and application of machine learning algorithms has risen exponentially. Machine learning has found extensive use in diverse fields like self-driving cars, speech recognition, image processing, computer vision, molecular biology, security etc. A lot of recent research involves evaluation of machine learning applications on different architectures. In this thesis, we evaluate the performance of six common machine learning algorithms: K-Means, K-Nearest Neighbors, Linear Regression, Latent Dirichlet Allocation, Deep Neural Network, and Radix Sort on RAPID. RAPID is a highly parallel computer architecture developed at Oracle Labs for accelerating and improving the performance of database analytic workloads. We find that the RAPID platform performs well on the performance-per-watt metric i.e. it is a power-efficient architecture. Moreover, the machine learning applications can be easily scaled to hundreds of nodes of the RAPID architecture, thereby making it suitable for distributed machine learning applications. However, we find certain bottlenecks in the micro-architecture, memory system and network of the RAPID architecture and propose optimizations to make it a more performance efficient architecture for machine learning applications.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-05-01The student, Aakash Modi, accepted the attached license on 2017-04-26 at 12:22.The student, Aakash Modi, submitted this Thesis for approval on 2017-04-26 at 12:30.This Thesis was approved for publication on 2017-04-26 at 16:22.DSpace SAF Submission Ingestion Package generated from Vireo submission #11087 on 2017-08-10 at 14:32:41Made available in DSpace on 2017-08-10T19:52:24Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-04-26Embargo set by: Colleen Fallaw for item 102690
Lift date: 2019-08-10T21:25:30Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 102690 on 2019-08-11T09:15:10Z
Review of Aakash Singh Rathore, Plato’s Labyrinth: Sophistries, lies and conspiracies in Socratic dialogues
No full textAakash Rathore Singh’s book Plato’s Labyrinth: Sophistries, Lies and Conspiracies in Socratic Dialogues attempts to break ground substantially, as far as I can discern, in two areas—one, on textual interpretive method or hermeneutics and the other on the content of what Plato has to say regarding issues like tyranny, the polis and the role of the philosopher in the political community. The kind of division I have just made regarding the intent of the author might not sit very well with the author himself, however. The reason I say this is because what Aakash Singh Rathore is attempting to do is to say that, with Plato, the content and the method of explicating that content always go hand in hand and that it is futile to separate them
Retracted Article: Functional Appliances in the Treatment of Class II Malocclusion- A Review
No full textThe article stands retracted due to double submission by the author Dr. Aakash Shah .
It is quite regretful that such authors waste the time and resources of the journal.
View the email sent by Dr. Aakash below.
Functional jaw orthopaedic appliances are a treatment modality for the correction of Class II malocclusions due to mandibular retrusion. A wide range of functional appliances which aim to stimulate mandibular growth by holding the mandible forward is available to correct this type of skeletal and occlusal disharmony. However, the effects of functional appliances are still controversial. Numerous animal experiments and clinical studies have been performed to help ascertain the mechanisms underlying the effects of functional appliances and the optimal timing of treatment. This literature review will be restricted to a discussion of the role of functional appliance therapy in the treatment of class II malocclusions
sj-docx-1-jet-10.1177_15266028221134887 – Supplemental material for Impact of Chronic Kidney Disease on In-Hospital Outcomes of Hospitalizations With Acute Limb Ischemia Undergoing Endovascular Therapy
No full textSupplemental material, sj-docx-1-jet-10.1177_15266028221134887 for Impact of Chronic Kidney Disease on In-Hospital Outcomes of Hospitalizations With Acute Limb Ischemia Undergoing Endovascular Therapy by Harsh P. Patel, Dean Decter, Samarthkumar Thakkar, Mahesh Anantha-Narayanan, Ashish Kumar, Aakash R Sheth, Salman Zahid, Bhavin A. Patel, Toralben Patel, Hiteshkumar Devani, Vrushali Shah, Preet Mayank Doshi, Smit Patel, Mariam Shariff, Devina Adalja, Saraschandra Vallabhajosyula and Rajkumar Doshi in Journal of Endovascular Therapy</p
आमजन-स्वामित्व के रूप में स्वास्थ्य प्रौद्योगिकी: विश्वसनीय, अनुकूल एवं किफ़ायती
No full textनिवेशों में वृद्धि होने के बावजूद, अभी तक 10 में से 6 व्यक्ति के पास स्वास्थ्य सेवाओं की पहुँच नहीं है, न ही वे देखभाल के प्रति कर्तव्य का पालन करते हैं। एल्कोहॉल आधारित हाथ सफाई और विकीमेड ने यह दिखाया है कि किस प्रकार से ‘मुक्त पुनरुत्पादनीय उपकरण’ और सॉफ्टवेयर के निर्माण से लाखों लोगों की जान बचायी जा सकती है, वैज्ञानिक प्रमाणिकता में वृद्धि की जा सकती है और लागत को 90% तक कम किया जा सकता है। एजेंडा 2030- ‘सभी के लिए स्वास्थ्य’ को समय से क्रियान्वयन के लिए सहयोगात्मक देखरेख एकमात्र विकल्प है। जिम्मेदार एवं सशक्त समाज के निर्माण हेतु हम नवाचार मॉडल के अतिरिक्त नौ प्रमुख विकल्पों को प्रस्तुत करते हैं: हम बुजुर्गों, सार्वजनिक नीतियों, गुणवत्तापूर्ण प्रणाली एवं क्रिप्टोकरेंसी पर भी चर्चा करते हैं
End-user perspective of low-cost sensors for outdoor air pollution monitoring
No full textLow-cost sensor technology can potentially revolutionise the area of air pollution monitoring by providing high-density spatiotemporal pollution data. Such data can be utilised for supplementing traditional pollution monitoring, improving exposure estimates, and raising community awareness about air pollution. However, data quality remains a major concern that hinders the widespread adoption of low-cost sensor technology. Unreliable data may mislead unsuspecting users and potentially lead to alarming consequences such as reporting acceptable air pollutant levels when they are above the limits deemed safe for human health. This article provides scientific guidance to the end-users for effectively deploying low-cost sensors for monitoring air pollution and people's exposure, while ensuring reasonable data quality. We review the performance characteristics of several low-cost particle and gas monitoring sensors and provide recommendations to end-users for making proper sensor selection by summarizing the capabilities and limitations of such sensors. The challenges, best practices, and future outlook for effectively deploying low-cost sensors, and maintaining data quality is also discussed. For data quality assurance, a two-stage sensor calibration process is recommended, which includes laboratory calibration under controlled conditions by the manufacturer supplemented with routine calibration checks performed by the end user under final deployment conditions. For large sensor networks where routine calibration checks are impractical, statistical techniques for data quality assurance should be utilised. Further advancements and adoption of sophisticated mathematical and statistical techniques for sensor calibration, fault detection, and data quality assurance can indeed help to realise the promised benefits of a low-cost air pollution sensor network
Retracted Article: Use of CBCT in Orthodontics- A Review
No full textThe article stands retracted due to double submission by the author Dr. Aakash Shah .
It is quite regretful that such authors waste the time and resources of the journal.
View the email sent by Dr. Aakash below.
Lateral cephalometric radiographs are most commonly used as a diagnostic tool in orthognathic surgery as well as orthodontic treatment. But the limitation of lateral cephalograms is its 2 dimensional nature whereas the human body is 3 dimensional. Conventional 2D lateral cephalograms have numerous drawbacks in terms of investigating the changes in the alveolar bone and roots, particularly in the anterior region, as a consequence of the midsagittal projection. Additionally its accuracy is questionable as it has projection errors. The use of computed tomography in 3D imaging of human body is available in the field of medicine since last 30 years. CT scanning is the three dimensional imaging technique giving quantitative assessments of the buccal and lingual cortical bone plates and labiolingual width of alveolar bone with elevated accuracy and precision. But the use of computed tomography in dentistry is limited because the amount of radiation exposure with this technology is very high. Since the invention of Cone Beam Computed Tomography, the amount of radiation exposure in the patient is reduced. This enhances its use in obtaining the 3D images of the craniofacial structures. This technology helps in visualizing the hard and soft tissues of the craniofacial structures from various perspectives and helps in thorough diagnosis and treatment planning of orthognathic surgery and orthodontic patients. The principles of CBCT and its use in the field of orthodontics will be discussed in detail in this paper
Identification and functional analysis of secreted effectors from phytoparasitic nematodes
No full textBackground: Plant parasitic nematodes develop an intimate and long-term feeding relationship with their host plants. They induce a multi-nucleate feeding site close to the vascular bundle in the roots of their host plant and remain sessile for the rest of their life. Nematode secretions, produced in the oesophageal glands and secreted through a hollow stylet into the host plant cytoplasm, are believed to play key role in pathogenesis. To combat these persistent pathogens, the identity and functional analysis of secreted effectors can serve as a key to devise durable control measures. In this review, we will recapitulate the knowledge over the identification and functional characterization of secreted nematode effector repertoire from phytoparasitic nematodes. Research: Despite considerable efforts, the identity of genes encoding nematode secreted proteins has long been severely hampered because of their microscopic size, long generation time and obligate biotrophic nature. The methodologies such as bioinformatics, protein structure modeling, in situ hybridization microscopy, and protein-protein interaction have been used to identify and to attribute functions to the effectors. In addition, RNA interference (RNAi) has been instrumental to decipher the role of the genes encoding secreted effectors necessary for parasitism and genes attributed to normal development. Recent comparative and functional genomic approaches have accelerated the identification of effectors from phytoparasitic nematodes and offers opportunities to control these pathogens. Conclusion: Plant parasitic nematodes pose a serious threat to global food security of various economically important crops. There is a wealth of genomic and transcriptomic information available on plant parasitic nematodes and comparative genomics has identified many effectors. Bioengineering crops with dsRNA of phytonematode genes can disrupt the life cycle of parasitic nematodes and therefore holds great promise to develop resistant crops against plant-parasitic nematodes
Correction: Atomate2: modular workflows for materials science
No full textCorrection for “Atomate2: modular workflows for materials science” by Alex M. Ganose et al., Digital Discovery, 2025, 4, 1944–1973, https://doi.org/10.1039/D5DD00019J. There is an error in Aakash Naik name in the author list of the original manuscript. The correct name, as given in the author list of this Correction, is “Aakash A. Naik”. The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers
Genetic enhancement of food legumes for nutritional security and sustainable cereal-based cropping systems
No full textFood legume crops are cultivated since the earliest days of agriculture for human food and animal feed.Today these crops are grown globally, providing food and nutritional
security. In particular, they are the main source of protein, macro and micronutrients in the diets of medium to lowincome people in most developing countries. Besides their
nutritional value, food legumes are important nitrogen fixers, contributing to soil health improvement and thus providing sustainable cropping system. However, global
food legume production of about 67 million tons per year is insufficient to meet demand from ever-increasing populations, particularly in Africa and Asia. Food legumes
are grown mainly by small and marginal farmers under rainfed conditions in marginal areas, leading to low and unstable yields. Moreover, they have long been ‘orphan
crops’, receiving very little attention from researchers and policy makers.To attain a sustainable increased production in food legumes, several international research centers
are working closely with national institutions to address these issues. The International Center for Agricultural Research in the Dry Areas (ICARDA), located in the center
of origin of many food legume species, is engaged in research to develop and deliver improved food legume technologies to farmers. The research covers multiple
crops (lentil, faba bean, Kabuli chickpea, grasspea) and involves a multidisciplinary team comprising breeders, biotechnologists, pathologists, entomologists, and seed
specialists, To date, a total of 368 improved varieties of these crops have been released for cultivation in various countries, jointly developed by ICARDA and national
partners
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