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Magnets, children and the bowel: A dangerous attraction?

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World Journal of Gastroenterology 2012年第38期18卷 5324-5328页

作者： Anil Thomas George sandeep Motiwale Department of Physiology St Mark's Hospital London HA1 3UJ United Kingdom Department of Paediatric Surgery Queen's Medical Center University Hospitals Nottingham NG7 2UH United Kingdom

Reports of magnet ingestion are increasing rapidly globally. However, multiple magnet ingestion, the subsequent potential complications and the importance of the early identification and proper management remain both under-recognized and underestimated. Published literature on such cases could possibly represent only the tip of an iceberg with press reports, web blogs and government documents highlighting further occurrence of many more such incidents. The increasing number of complications worldwide being reported secondary to magnet ingestion point not only to an acute lack of awareness about this condition among the medical profession but also among parents and carers who will be in most cases the first to pick up on magnet ingestion. There still seems to be no consensus on the management of magnet ingestion with several algorithms being proposed for management. Prevention of this condition remains a much better option than cure. Proper education and improved awareness among parents and carers and frontline medical staff is key in addressing this rapidly emerging problem. The goal of managing such cases of suspected magnet ingestion should be aimed at reducing delays between ingestion time, diagnosis time and intervention time.

关键词：磁铁吸引力危险肠道儿童全球范围早期识别医务人员

Separation of Metallic and Semiconducting Single-Walled Carbon Nanotubes Through Fluorous Chemistry

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Nano Research 2009年第3期2卷 183-191页

作者： sandeep Ghosh N.R.Rao Chemistry and Physics of Materials Unit DST unit on Nanoscience and CSIR Centre of Excellence in ChemistryJawaharlal Nehru Centre for Advanced Scientifi c ResearchJakkur P.O.Bangalore-560064India Solid State and Structural Chemistry Unit Indian Institute of ScienceBangalore-560012India

Separation of metallic from semiconducting single-walled carbon nanotubes has been a major challenge for some time and some previous efforts have resulted in partial success. We have accomplished the separation effectively by employing fl uorous chemistry wherein the diazonium salt of 4-heptadecafl uorooc tylaniline selectively reacts with the metallic nanotubes present in the mixture of nanotubes. The resulting fl uoroderivative was extracted in perfl uorohexane leaving the semiconducting nanotubes in the aqueous layer. The products have been characterized by both Raman and electronic absorption spectroscopy. The method avoids the cumbersome centrifugation step required by some other procedures.

关键词： Carbon nanotubes metallic semiconducting fl uorous separation

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氯化钠焙烧-硫酸浸出从白云母矿中提取钾

Journal of Central South University 2022年第6期29卷 1881-1894页

作者： sandeep Kumar JENA Baijayantimala MOHANTY Geetikamayee PADHY Jogeshwara SAHU Sapan Kumar KANDI CSIR-Institute of Minerals and Materials Technology BhubaneswarOdisha-751013India

本研究旨在采用氯化钠焙烧与-硫酸浸取结合的浸出工艺,从含约10 wt%氧化钾的白云母中提取钾。当仅用硫酸浸出从白云母矿中提取钾时,钾的提取率为8%~18%。获得最大提取率的最佳浸出条件为4 mol/L硫酸,浸出时间为60 min,液固比为4 m L/g... 详细信息

本研究旨在采用氯化钠焙烧与-硫酸浸取结合的浸出工艺,从含约10 wt%氧化钾的白云母中提取钾。当仅用硫酸浸出从白云母矿中提取钾时,钾的提取率为8%~18%。获得最大提取率的最佳浸出条件为4 mol/L硫酸,浸出时间为60 min,液固比为4 m L/g。然而,先添加氯化钠焙烧(白云母矿与氯化钠的质量比为1:1,焙烧为900℃,焙烧时间为45 min),然后再用硫酸浸出(浸出温度为95℃,浸出时间为60 min),钾提取率达到98%。在类似的焙烧条件下,仅用硫酸浸出从白云母矿中提取钾,钾提取率仅为60%。分析了温度、时间、氯化钠浓度、硫酸浓度、液固比等焙烧和浸出参数对钾提取的影响。与氯化钠焙烧后白云母中出现的氯化钾物相在硫酸浸出后的残留物中消失,证实了白云母矿石晶体结构的物理和化学变化。依据现有文献,结合X射线衍射和带有能量色散X射线光谱的扫描电子显微镜表征结果,阐明了白云母矿结构中释放钾的可能机制。

关键词：白云母矿焙烧酸浸钾提取钾盐

Lumped parameter analytic modeling and behavioral simulation of a 3-DOF MEMS gyro-accelerometer

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Acta Mechanica Sinica 2015年第6期31卷 910-919页

作者： Payal Verma sandeep K.Arya Ram Gopal MEMS & Micro-sensors Group CSIR – Central Electronics Engineering Research Institute Department of Electronics & Communication Engineering Guru Jambheshwar University of Science & Technology

A new analytical model of a 3-degree-of-freedom （3-DOF） gyro-accelerometer system consisting of a 1-DOF drive and 2-DOF sense modes is presented. The model constructs lumped differential equations associated with each DOFof the system by vector analysis. The coupled differential equations thus established are solved analytically for their responses in both the time and frequency domains. Considering these frequency response equations, novel device design concepts are derived by forcing the sense phase to zero, which leads to a certain relationship between the structural frequencies, thereby causing minimization of the damping effect on the performance of the system. Furthermore, the feasibility of the present gyro-accelerometer structure is studied using a unique discriminatory scheme for the detection of both gyro action and linear acceleration at their events. This scheme combines the formulated settled transient solution of the gyro-accelerometer with the processes of synchronous demodulation and filtration, which leads to the in-phase and quadrature components of the system＇s output signal. These two components can be utilized in the detection of angular motion and linear acceleration. The obtained analytical results are validated by simulation in a MATLAB/Simulink environment, and it is found that the results are in excellent agreement with each other.

关键词： Microelectromechanical systems (MEMS) ·Multimeasurement system. Gyro-accelerometer Gyro-accelerometer model - Transient model

Emphasizing privacy and security of edge intelligence with machine learning for healthcare

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International Journal of Intelligent Computing and Cybernetics 2022年第1期15卷 92-109页

作者： Sukumar Rajendran sandeep Kumar Mathivanan Prabhu Jayagopal Kumar Purushothaman Janaki Benjula Anbu Malar Manickam Bernard Suganya Pandy Manivannan Sorakaya Somanathan Vellore Institute of Technology VelloreIndia

Purpose-Artificial Intelligence(AI)has surpassed expectations in opening up different possibilities for machines from different walks of *** service providers are *** computing reduces latency,improving availability and saving ***/methodology/approach-The exponential growth in tensor processing unit(TPU)and graphics processing unit(GPU)combined with different types of sensors has enabled the pairing of medical technology with deep learning in providing the best patient care.A significant role of pushing and pulling data from the cloud,big data comes into play as velocity,veracity and volume of data with IoT assisting doctors in predicting the abnormalities and providing customized treatment based on the patient electronic health record(EHR).Findings-The primary focus of edge computing is decentralizing and bringing intelligent IoT devices to provide real-time computing at the point of presence(PoP).The impact of the PoP in healthcare gains importance as wearable devices and mobile apps are entrusted with real-time monitoring and diagnosis of *** impact edge computing of the PoP in healthcare gains significance as wearable devices and mobile apps are entrusted with real-time monitoring and diagnosis of ***/value-The utility value of sensors data improves through the Laplacian mechanism of preserved PII response to each query from the *** scalability is at 50%with respect to the sensitivity and preservation of the PII values in the local ODL.

关键词： Edge computing Deep learning Cloud computing Fog computing Electronic health record Tensor processing unit Graphics processing unit Point of presence

Digitally controlled oscillator design with a variable capacitance XOR gate

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Journal of Semiconductors 2011年第10期32卷 86-92页

作者： Manoj Kumar sandeep K.Arya Sujata Pandey Department of Electronics and Communication Engineering Guru Jambheshwar University of Science and TechnologyHisarIndia Amity University NoidaIndia

A digitally controlled oscillator（DCO） using a three-transistor XOR gate as the variable load has been presented.A delay cell using an inverter and a three-transistor XOR gate as the variable capacitance is also proposed. Three-,five- and seven-stage DCO circuits have been designed using the proposed delay *** output frequency is controlled digitally with bits applied to the delay *** three-bit DCO shows output frequency and power consumption variation in the range of 3.2486-4.0267 GHz and 0.6121-0.3901 mW,respectively,with a change in the control word *** five-bit DCO achieves frequency and power of 1.8553-2.3506 GHz and 1.0202-0.6501 mW,respectively,with a change in the control word ***,the seven-bit DCO shows a frequency and power consumption variation of 1.3239-1.6817 GHz and 1.4282-0.9102 mW,respectively, with a varying control word *** power consumption and output frequency of the proposed circuits have been compared with earlier reported circuits and the present approaches show significant improvements.

关键词： digital control oscillator delay cell power consumption variable capacitance voltage controlled oscillators XOR gate

Polyester-tethered near-infrared fluorophores confined in colloidal nanoparticles:Tunable and thermoresponsive aggregation and biomedical applications

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聚集体(英文)

聚集体(英文) 2023年第2期4卷 193-205页

作者： Cangjie Yang Wei Zhang Xin Pang Fan Xiao sandeep Kumar Kalva Yipeng Zhang Manojit Pramanik Leilei Tian Gang Liu Mingfeng Wang School of Chemical and Biomedical Engineering Nanyang Technological UniversitySingaporeSingapore School of Science and Engineering The Chinese University of Hong KongShenzhenChina State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics&Center for Molecular Imaging and Translational Medicine School of Public HealthXiamen UniversityXiamenChina School of Materials Science and Engineering South University of Science and TechnologyShenzhenChina Institute of Pharmacology and Toxicology and Institute of Biomedical Engineering Faculty of MedicineUniversity of ZurichZurich CH-8057Switzerland

Intricate assembly of multiple molecular chromophores assisted by protein scaffolds is essential in tuning the optical absorption and energy transfer in the light-harvesting complexes of the photosynthetic systems in ***,it remains a challenge to achieve such structural complexity and functionality in synthetic polymer-chromophore ***,we report a series of polyester-tethered pyrrolopyrrole cyanine derivatives and their colloidal nanoparticles dispersed in water,which show tunable J-or H-aggregation excitonic coupling and near-infrared fluorescence by precise control of the polymer chain lengths,composition,and ***,the optimal fluorescence or photothermal effect of the Jaggregate nanoparticles enables broad applications in fluorescence or photoacoustic bioimaging and phototherapy.

关键词： bioimaging colloids fluorescence polymers self-assembly

Deep Stacked Ensemble Learning Model for COVID-19 Classification

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Computers, Materials & Continua 2022年第3期70卷 5467-5486页

作者： G.Madhu B.Lalith Bharadwaj Rohit Boddeda Sai Vardhan K.sandeep Kautish Khalid Alnowibet Adel F.Alrasheedi Ali Wagdy Mohamed Department of Information Technology VNRVJIETHyderabad500090India Department of Computer Science and Engineering VNRVJIETHyderabad500090India LBEF Campus Kathmandu44600Nepal Statistics and Operations Research Department College of ScienceKing Saud UniversityRiyadh11451Kingdom of Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGiza12588Egypt

COVID-19 is a growing problem worldwide with a high mortality *** a result,the World Health Organization(WHO)declared it a *** order to limit the spread of the disease,a fast and accurate diagnosis is required.A reverse transcript polymerase chain reaction(RT-PCR)test is often used to detect the ***,since this test is time-consuming,a chest computed tomography(CT)or plain chest X-ray(CXR)is sometimes *** value of automated diagnosis is that it saves time and money by minimizing human *** significant contributions are made by our *** initial purpose is to use the essential finetuning methodology to test the action and efficiency of a variety of vision models,ranging from Inception to Neural Architecture Search(NAS)***,by plotting class activationmaps(CAMs)for individual networks and assessing classification efficiency with AUC-ROC curves,the behavior of these models is visually ***,stacked ensembles techniques were used to provide greater generalization by combining finetuned models with six ensemble neural *** stacked ensembles,the generalization of the models ***,the ensemble model created by combining all of the finetuned networks obtained a state-of-the-art COVID-19 accuracy detection score of 99.17%.The precision and recall rates were 99.99%and 89.79%,respectively,highlighting the robustness of stacked *** proposed ensemble approach performed well in the classification of the COVID-19 lesions on CXR according to the experimental results.

关键词： COVID-19 classification class activation maps(CAMs)visualization finetuning stacked ensembles automated diagnosis deep learning

Pb（NO3）2 Mediated Synthesis of Pyrazine

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Chinese Journal of Chemistry 2007年第1期25卷 105-107页

作者： KOTHARKAR, sandeep Anilrao SHINDE, Devanand Baburao Department of Chemical Technology Dr Babasaheb Ambedkar Marathwada University Aurangabad (M.S.)-431004 India

Lead nitrate was used as an efficient catalyst in the oxidation and condensation reaction of hydroxy ketone with diamine leading to the formation of pyrazine derivatives in excellent yields.

关键词： Pb(NO3)2 pyrazine aromatization