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Nanotechnology applied for improving research in electrical domain - a survey
کاربرد نانوتکنولوژی برای بهبود تحقیقات در حوزه الکتریکی - یک مرور-2021 Research activities in the field of nanotechnology have paved way to improvisation and progress in various fields globally. Since its tremendous development, it has extended its hands in almost all domains
and in the past few decades it has also been a foundation for new technological advancement in electrical
domain in particular. This field has given the way in development of new materials which has really
improved the electrical characteristics like dielectric, insulation of materials which are conventionally
used and therefore enhanced their performances in various applications. This paper tries to bring out a
glimpse of its applications in past developments and future opportunities listed by various authors particularly in the field of electrical engineering.
Keywords: Electrical machine | Transformer | Nanotechnology |
مقاله انگلیسی |
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A comprehensive survey on the biometric systems based on physiological and behavioural characteristics
مرور جامع سیستم های بیومتریک بر اساس ویژگی های فیزیولوژیکی و رفتاری-2021 With the fast increasing of the electronic crimes and their related issues, deploying a reliable user authentication system became a significant task for both of access control and securing user’s private data. Human biometric characteristics such as voice, finger, iris scanning, face, signature and other features provide a dependable security level for both of the personal and the public use. Many biometric authentication systems have been approached for long time. Due to the uniqueness of human biometrics witch played a master role in degrading imposters’ attacks. Such authentication models have overcome other traditional security methods like passwords and PIN. This paper aims to briefly address the psychological biometric authentication techniques and a brief summary to the advantages, disadvantages of each method. Main contribution it found that used EEG signals, as biometrics is the best technique compare to with five other techniques.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Nanoelectronics, Nanophotonics, Nanomaterials, Nanobioscience & Nanotechnology. Keywords: Biometrics | Physiological | Behavioral | Identification | Techniques |
مقاله انگلیسی |
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Qualitative and quantitative analysis of patent data in nanomedicine for bridging the gap between research activities and practical applications
تجزیه و تحلیل کمی و کمی از داده های ثبت اختراع در نانو پزشکی برای پر کردن شکاف بین فعالیت های تحقیقاتی و کاربردهای عملی-2020 Nanomedicines have made a great breakthrough in the diagnosis, treatment and prevention of disease, but there
are still significant challenges to make a leap from the scientific discovery to the practical and clinical success.
Herein, we contribute to establish effective strategies that can bridge the gaps by an integrated and balanced
analysis of patent literatures on the nanomedicine. Since most of successful commercialization of technologies
stems from patents, it is important to comprehensively analyze the patent information. Unfortunately, many
previous studies of patent analyses for technological trends and strategies are dependent on only quantitative
analyses using structured data such as keyword networks and indicators, thus, these studies are difficult to offer
detailed technological key components and trends on scientific perspectives. To address these problems, the
present study performs qualitative and quantitative analysis using both structured and unstructured patent data,
and provides evolving detailed trends in nanomedicine fields from a scientific point of view. Furthermore, upcoming
advances in strategies regarding clinical needs, commercial events and strategies of potential leading
groups in nanomedicine could be catalogued. Our analytical method and the results of several meaningful
patterns and trends were applied to forecast the future practical issue of nanomedicines. Keywords: Patent analysis | Structured and unstructured data | Nanotechnology | Nanomedicine | Material science | Surface chemistry | Pharmaceutics | Medical science | Patent indicator |
مقاله انگلیسی |
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Review on industrial mathematics and materials at Industry 1:0 to Industry 4:0
بررسی ریاضیات و مواد صنعتی در صنعت 1:0 تا صنعت 4:0-2020 Industrial Evolution is a most important part of the development of the World. From the 18th Century itself, Industrial evolution growth has to be increased. But yet now Industries faces a lot of challenges. Facing Challenges on Production-Distribution Planning in Supply Chain Management, uncertain business environment. An industrial mathematics tool helps to improve the efficiency of the industry operation. So here paper review on Industrial revolution with Impact of Industrial mathematics and Materials and How Industrial mathematics and materials develop Smart industries to meet customer need for an uncertain business environment future.© 2019 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Nanotechnology: Ideas, Innovation and Industries. Keywords: Industry Mathematics | Industry Materials | Industrial Evolution | Manufacturing | Production | Intelligence system |
مقاله انگلیسی |
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Lipid-based nanodelivery approaches for dopamine-replacement therapies in Parkinsons disease: From preclinical to translational studies
روشهای مبتنی بر تحویل نانو مبتنی بر لیپید برای درمان های جایگزین دوپامین در بیماری پارکینسون: از مطالعات بالینی تا ترجمه-2020 The incidence of Parkinsons disease (PD), the second most common neurodegenerative disorder, has increased
exponentially as the global population continues to age. Although the etiological factors contributing to PD
remain uncertain, its average incidence rate is reported to be 1% of the global population older than 60 years. PD
is primarily characterized by the progressive loss of dopaminergic (DAergic) neurons and/or associated neuronal
networks and the subsequent depletion of dopamine (DA) levels in the brain. Thus, DA or levodopa (L-dopa), a
precursor of DA, represent cardinal targets for both idiopathic and symptomatic PD therapeutics. While several
therapeutic strategies have been investigated over the past decade for their abilities to curb the progression of
PD, an effective cure for PD is currently unavailable. Even DA replacement therapy, an effective PD therapeutic
strategy that provides an exogenous supply of DA or L-dopa, has been hindered by severe challenges, such as a
poor capacity to bypass the blood–brain barrier and inadequate bioavailability. Nevertheless, with recent advances
in nanotechnology, several drug delivery systems have been developed to bypass the barriers associated
with central nervous system therapeutics. In here, we sought to describe the adapted lipid-based nanodrug
delivery systems used in the field of PD therapeutics and their recent advances, with a particular focus placed on
DA replacement therapies. This work initially explores the background of PD; offers descriptions of the most
recent molecular targets; currently available clinical medications/limitations; an overview of several lipid-based
PD nanotherapeutics, functionalized nanoparticles, and technical aspects in brain delivery; and, finally, presents
future perspectives to enhance the use of nanotherapeutics in PD treatment. Keywords: Parkinsons disease | Dopamine/levodopa | Blood–brain barrier | Nanodrug delivery | Lipid-based nanoparticles |
مقاله انگلیسی |
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Bringing Laxmi and Saraswati together: Nano-scientists and academic entrepreneurship in India
گردآوری لاکسمی و ساراسواتی: دانشمندان نانو و کارآفرینی دانشگاهی در هند-2020 Innovation fuelled by Science & Technology is seen as the panacea for growth, inclusive development and international competitiveness. Aligned with this view, there is a growing interest in the role of academic entrepreneurship in contributing to these goals. A huge emphasis is also given to ready-made, transportable success models of innovation to be replicated into a variety of local contexts. Most of the scholarly literature in this domain focusses on the global north whereas studies on in the global south remain scarce. In this paper, we focus on scientists working in the field of nanotechnology in India. Drawing on semi-structured interviews and document analysis, the paper contributes to shed light on the perceptions of scientists and policy makers about the changing role of Indian universities in the context of global aspirations associated to academic entrepreneurship, and the socio-cultural aspects underpinning such perceptions. |
مقاله انگلیسی |
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Anti-inflammatory (AI) and crystalline hardness characterisations of 4- (4-chlorophenyl)-7,7-dimethyl-7,8-dihydro-4h-1-benzopyran-2,5 (3h,6h)-dione-(CPDMDHHBPHHD) – Comparative analysis of macro and nano scales crystals
خصوصیات ضد التهابی (AI) و سختی کریستالی 4- (4-کلروفنیل) -7،7-دی متیل-7،8-دی هیدرو-4 ساعت-1-بنزوپیران-2،5 (3 ساعت ، 6 ساعت) -دیون- (CPDMDHHBPHHD) ) - تحلیل مقایسه ای کریستال های مقیاس ماکرو و نانو-2020 CPDMDHHBPHHD nano crystals are having colossal opto-electronic application, stage coordinating,
recurrence coordinating and power transmission and different utilities. Full scale crystals have least
applications by esteem contrasted with nano type of CPDMDHHBPHHD arranged by processing strategy.
The nano type of CPDMDHHBPHHD crystals are of 228 nm, to 16 nm individually, the XRD information
uncovers the full scale crystals are having the equation C17H17ClO3 are of a = 11.9005 Å, b = 5.7971 Å,
c = 22.608 Å, b = 93.97, monoclinic with space group P21/n, the large scale level NLO is 1.25 occasions
than that of standard KDP. Here both the large scale and nano precious stones are experienced with
anti-inflammatory activity and nano structure very appropriate for medicate dependent on the qualities.
Large scale crystals with anti-inflammatory activity have hardness concentrates as well and brought
about hard class of materials. The sample is having Anti diabetic character also and good in electronic filter
utilities too for the societal utility by electronic and by bio and pharma applications.
2020 Elsevier Ltd. All rights reserved.
Selection and peer-review under responsibility of the scientific committee of the International Conference
on Nanotechnology: Ideas, Innovation and Industries. Keywords: CPDMDHHBPHHD | Nano crystals | Anti-inflammatory | Hardness | Stiffness | Brittleness | Macro level |
مقاله انگلیسی |
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Thin graphene oxide nanoflakes modulate glutamatergic synapses in the amygdala cultured circuits: Exploiting synaptic approaches to anxiety disorders
نانوذرات اکسید گرافن نازک سیناپسهای گلوتامتری را در مدارهای کشت شده آمیگدال تعدیل می کند: بهره برداری از رویکرد سیناپسی به اختلالات اضطرابی-2020 Anxiety disorders (ADs) are nervous system maladies involving changes in the amygdala synaptic circuitry, such as an upregulation of
excitatory neurotransmission at glutamatergic synapses. In the field of nanotechnology, thin graphene oxide flakes with nanoscale lateral size
(s-GO) have shown outstanding promise for the manipulation of excitatory neuronal transmission with high temporal and spatial precision,
thus they were considered as ideal candidates for modulating amygdalar glutamatergic transmission. Here, we validated an in vitro model of
amygdala circuitry as a screening tool to target synapses, towards development of future ADs treatments. After one week in vitro, dissociated
amygdalar neurons reconnected forming functional networks, whose development recapitulated that of the tissue of origin. When acutely
applied to these cultures, s-GO flakes induced a selective modification of excitatory activity. This type of interaction between s-GO and
amygdalar neurons may form the basis for the exploitation of alternative approaches in the treatment of ADs. Key words: Graphene oxide | Synapses | Amygdala | Nanoparticles | Glutamate | Anxiety disorders |
مقاله انگلیسی |
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Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index
پیش بینی یادگیری ماشین از نانوذرات در سمیت آزمایشگاهی: یک مطالعه مقایسه ای از طبقه بندی کننده ها و طبقه بندی کننده های گروه با استفاده از شاخص Copeland-2019 Nano-Particles (NPs) are well established as important components across a broad range of products from
cosmetics to electronics. Their utilization is increasing with their significant economic and societal potential yet
to be fully realized. Inroads have been made in our understanding of the risks posed to human health and the
environment by NPs but this area will require continuous research and monitoring. In recent years Machine
Learning (ML) techniques have exploited large datasets and computation power to create breakthroughs in
diverse fields from facial recognition to genomics. More recently, ML techniques have been applied to nanotoxicology
with very encouraging results. In this study, categories of ML classifiers (rules, trees, lazy, functions and
bayes) were compared using datasets from the Safe and Sustainable Nanotechnology (S2NANO) database to
investigate their performance in predicting NPs in vitro toxicity. Physicochemical properties, toxicological and
quantum-mechanical attributes and in vitro experimental conditions were used as input variables to predict the
toxicity of NPs based on cell viability. Voting, an ensemble meta-classifier, was used to combine base models to
optimize the classification prediction of toxicity. To facilitate inter-comparison, a Copeland Index was applied
that ranks the classifiers according to their performance and suggested the optimal classifier. Neural Network
(NN) and Random forest (RF) showed the best performance in the majority of the datasets used in this study.
However, the combination of classifiers demonstrated an improved prediction resulting meta-classifier to have
higher indices. This proposed Copeland Index can now be used by researchers to identify and clearly prioritize
classifiers in order to achieve more accurate classification predictions for NP toxicity for a given dataset. Keywords: Machine learning | Voting | Nanotoxicity | Nanoparticles | Copeland Index |
مقاله انگلیسی |
10 |
Multiple ellipse fitting of densely connected contours
اتصالات بیضی متعدد از کانتورهای متراکم متصل شده-2019 Multiple ellipse fitting is challenging and at the same time essential as it has a variety of applications in biology, chemistry, and nanotechnology. Accurate, effective, and reliable ap- proach for the fitting problem has been always desirable. In this paper, we address a cate- gory of multiple ellipse fitting problem which fits densely connected contours. We propose a framework rather than design an algorithm for the problem. The framework streamlines five processes which include: sorting the contour points, doing ellipse fitting in sliding windows, detecting the context anomaly, performing clustering, and obtaining multiple el- lipses through second ellipse fitting. The framework is evaluated in a real-world applica- tion of handprint identification and various synthetic datasets. Experimental results show that the framework can extract multiple ellipses from contours with satisfactory accuracy and efficiency. Keywords: Multiple ellipse fitting | Sliding window | Anomaly detection | Cyclically ordered set | Pattern recognition |
مقاله انگلیسی |