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Recombinant vaccines:Current updates and future prospects

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Asian Pacific Journal of Tropical Medicine 2024年第8期17卷 338-350页

作者： Vivek Kumar Anuj Verma Riddhi Singh Priyanshi Garg Santosh Kumar sharma Himanshu Narayan Singh Santosh Kumar Mishra Sanjay Kumar Department of Allied Medical Sciences School of Allied Medical SciencesLovely Professional UniversityPhagwaraPunjabIndia Bioengineering Division of Department of Bioscience and Biomedical EngineeringIndian Institute of Technology BhilaiChhattisgarhIndia Department of Biotechnology IMS Engineering CollegeGhaziabadU.P.India Department of Chemistry and Biochemistry University of WindsorOntario N9B3P4Canada Biological and Biocomputational Laboratory Department of Life SciencesSharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaU.P.India Department of System Biology Columbia University Irving Medical CenterNew YorkNY 10032USA Department of Life Sciences Sharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaU.P.India

Recombinant technology-based vaccines have emerged as a highly effective way to prevent a wide range of *** technology improved vaccine manufacturing,rendering it more efficient and *** vaccines have multiple advantages compared to conventional *** pandemic has heightened awareness of the advantages of these vaccine technologies;trust and acceptance of these vaccines are steadily growing *** work offers an overview of the prospects and advantages associated with recombinant ***,it discusses some of the challenges likely to arise in the *** ability to target diverse pathogen classes underscores their contributions to preventing previously untreatable diseases(especially vector-borne and emerging diseases)and hurdles faced throughout the vaccine development process,especially in enhancing the effectiveness of these ***,their compatibility with emerging vaccination platforms of the future like virus-like particles and CRISPR/Cas9 for the production of next-generation vaccines may offer many *** review also reviewed the hurdles faced throughout the vaccine development process,especially in enhancing the effectiveness of these vaccines against vector-borne diseases,emerging diseases,and untreatable diseases with high mortality rates like AIDS as well as cancer.

关键词： Malaria Dengue Emerging diseases Immunoinformatics Virus-like particles CRISPR-Cas9

Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images

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Intelligent Medicine 2024年第2期4卷 104-113页

作者： Vinayak sharma Nillmani Sachin Kumar Gupta Kaushal Kumar Shukla School of Electronics and Communication Engineering Shri Mata Vaishno Devi University Jammu and KashmirIndia School of Biomedical Engineering Indian Institute of TechnologyBanaras Hindu UniversityVaranasiIndia Department of Computer Science and Engineering Indian Institute of TechnologyBanaras Hindu UniversityVaranasiIndia

Objective Tuberculosis(TB)is among the most frequent causes of infectious-disease-related *** being treatable by antibiotics,tuberculosis often goes misdiagnosed and untreated,especially in rural and low-resource *** X-rays are frequently used to aid diagnosis;however,this presents additional challenges because of the possibility of abnormal radiological appearance and a lack of radiologists in areas where the infection is most *** deep-learning-based imaging techniques for computer-aided diagnosis has the potential to enable accurate diagnoses and lessen the burden on medical *** the present work,we aimed to develop deep-learning-based segmentation and classification models for accurate and precise detection of tuberculosis in chest X-ray images,with visualization of infection using gradient-weighted class activation mapping(Grad-CAM)*** First,we trained the UNet segmentation model using 704 chest X-ray radiographs taken from the Montgomery County and Shenzhen Hospital ***,we implemented the trained UNet model on 1,400 tuberculosis and control chest X-ray scans to segment the lung *** images were taken from the National Institute of Allergy and Infectious Diseases(NIAID)TB portal program ***,we applied the deep learning Xception model to classify the segmented lung region into tuberculosis and normal *** further investigated the visualization capabilities of the model using Grad-CAM to view tuberculosis abnormalities in chest X-rays and discuss them from radiological *** For segmentation by the UNet model,we achieved accuracy,Jaccard index,Dice coefficient,and area under the curve(AUC)values of 96.35%,90.38%,94.88%,and 0.99,*** classification by the Xception model,we achieved classification accuracy,precision,recall,F1-score,and AUC values of 99.29%,99.30%,99.29%,99.29%,and 0.999,*** Grad-CAM heatmap images from the tuberculos

关键词： Tuberculosis Artificial intelligence Deep learning Segmentation Classification Chest X-ray

BACE1 inhibitors:A promising therapeutic approach for the management of Alzheimer’s disease

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Asian Pacific Journal of Tropical Biomedicine 2024年第9期14卷 369-381页

作者： Richa Arya Smita Jain Sarvesh Paliwal Kirtika Madan Swapnil sharma Achal Mishra Prashant Tiwari Sunil Kumar Kadiri Banasthali University Banasthali-304022(Raj.)India Department of Pharmacy Guru Ghasidas VishwavidyalayaBilaspurChhattisgarh-495009India Department of Pharmacology College of Pharmaceutical SciencesDayananda Sagar UniversityBengaluru-560111India

Alzheimer’s disease is a neurological disorder marked by the accumulation of amyloid beta(Aβ)aggregates,resulting from mutations in the amyloid precursor *** enzymeβ-secretase,also known asβ-site amyloid precursor protein cleaving enzyme 1(BACE1),plays a crucial role in generating Aβ*** no targeted therapy available for Alzheimer’s disease,inhibiting BACE1 aspartic protease has emerged as a primary treatment *** 1999,compounds demonstrating potential binding to the BACE1 receptor have advanced to human *** optimization of synthetically derived compounds,coupled with computational approaches,has offered valuable insights for developing highly selective leads with drug-like *** review highlights pivotal studies on the design and development of BACE1 inhibitors as anti-Alzheimer’s disease *** summarizes computational methods employed in facilitating drug discovery for potential BACE1 inhibitors and provides an update on their clinical status,indicating future directions for novel BACE1 *** promising clinical results of Elenbecestat(E-2609)catalyze the development of effective,selective BACE1 inhibitors in the future.

关键词： BACE1 inhibitors Amyloid precursor protein β-secretase Structure-based drug design 3D-QSAR β-amyloid precursor protein

Management of ruptured renal angiomyolipoma with bilateral staghorn calculi

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Asian Journal of Urology 2024年第3期11卷 509-510页

作者： Amit sharma Deepak Biswal Kishor Roy R.T.Raghavendra Department of Urology AIIMSRaipurCGIndia

Dear Editor,We present a case of ruptured renal angiomyolipoma(AML)and bilateral renal staghorn *** discuss about the management of this patient by angioembolization,partial nephrectomy,and pyelolithotomy,followed by contralateral interval percutaneous nephrolithotomy(PCNL).Our case is a 40-year-old male who presented with history of dull aching and dragging sensation in bilateral flanks of 6-month *** was admitted and evaluated at other hospital for dizziness,sweating,and loss of *** was found to have bilateral staghorn calculi and left AML and was referred to our institute for further management after initial *** proper written and informed consent was taken from the patient for management as well as publication of the report and images,maintaining the patient’s anonymity.

关键词： admitted sensation renal

石墨炔:一种用于合成水污染物有效吸附剂的新型炭材料

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新型炭材料（中英文） 2024年第2期39卷 173-200页

作者： Gaurav sharma Yaksha Verma Amit Kumar Pooja Dhiman WANG Tong-tong Florian JStadler 深圳大学材料科学与工程学院深圳市高分子科学与技术重点实验室广东省功能材料界面工程研究中心南山区生物高分子与安全性评价重点实验室广东深圳518055 International Research Centre of Nanotechnology for Himalayan Sustainability(IRCNHS) Shoolini UniversityHimachal Pradesh 173229India 西安建筑科技大学跨学科与创新研究院陕西西安710055

石墨炔(GDY)是一种新生的二维材料,其在去除水溶液中污染物的研究方面引起了广泛关注。GDY是sp和sp2杂化碳原子的框架,其在二维对称网络中存在苯环和二乙基键,因此具有优异的共轭性、独特的可调谐电子性能、以及优异的化学和热稳定性。... 详细信息

石墨炔(GDY)是一种新生的二维材料,其在去除水溶液中污染物的研究方面引起了广泛关注。GDY是sp和sp2杂化碳原子的框架,其在二维对称网络中存在苯环和二乙基键,因此具有优异的共轭性、独特的可调谐电子性能、以及优异的化学和热稳定性。GDY的分子中有C≡C键,且具有均匀分布的三角形孔,可提供更多的反应位点和多种反应路径。因而,GDY具有吸附性,其作为吸附剂时在去除污染水中的油、有机污染物、染料和金属方面表现优异。在已发表的文献中,GDY被用作吸附剂的报道十分有限。本文综述了GDY的合成方法、GDY作为吸附剂的应用以及GDY基吸附剂的表征,并展望了GDY在污染物修复中的应用前景。

关键词：石墨炔合成吸附污染物合理机制

Global lessons on delivery of primary healthcare services for people with non-communicable diseases:convergent mixed methods

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Family Medicine and Community Health 2024年第3期12卷 13-24页

作者： Robert Mash Lisa R Hirschhorn Inayat Singh Kakar Renu John Manushi sharma Devarsetty Praveen Stellenbosch University StellenboschSouth Africa Northwestern University ChicagoIllinoisUSA The George Institute for Global Health New DelhiIndia The George Institute for Global Health HyderabadIndia Manipal Academy of Higher Education ManipalIndia

Objective To extract key lessons on primary healthcare(PHC)service delivery strategies for non-communicable diseases(NCD)from the work of researchers funded by the Global Alliance for Chronic Diseases(GACD).Design A convergent mixed methods study that extracted data using a standardised template from research projects funded by the GACD that focused on *** strategies implemented in these studies were mapped onto the PHC Performance Initiative *** qualitative interviews were conducted with researchers from purposefully selected projects to understand the strategies and contextual factors in more *** PHC contexts from low or middle-income countries(LMIC)as well as vulnerable groups within high-income *** came from all regions of the world,particularly East Asia and Pacific,sub-Saharan Africa,South Asia,Latin America and *** The study extracted data on 84 research projects and interviewed researchers from 16 research *** Research projects came from all regions of the world,and mainly focused on diabetes(35.3%),hypertension(28.3%)and mental health(27.6%).Mapped onto the PHC Performance Initiative framework:49.4%focused on high-quality PHC(particularly the comprehensiveness of NCD care,41.2%);41.2%on the availability of PHC services(particularly the competence of healthcare workers,36.5%);35.3%on population health management(particularly community-based services,35.3%);34.1%on facility organisation and management(particularly team-based care,20.0%)and 31.8%on access(particularly digital technology,23.5%).Most common strategies were task shifting and training to improve the comprehensiveness of NCD care through community-based *** factors related to inputs:infrastructure,equipment and medication,workforce(particularly community health workers),finances,health information systems and digital *** Key strategies and contextual factors to improve PHC service del

关键词： services convergent income

Comprehensive Analysis of Gender Classification Accuracy across Varied Geographic Regions through the Application of Deep Learning Algorithms to Speech Signals

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Computer Systems Science & Engineering 2024年第3期48卷 609-625页

作者： Abhishek Singhal Devendra Kumar sharma Department of Electronics and Communication Engineering Faculty of Engineering and TechnologySRM Institute of Science and TechnologyDelhi–NCR CampusGhaziabad201204India

This article presents an exhaustive comparative investigation into the accuracy of gender identification across diverse geographical regions,employing a deep learning classification algorithm for speech signal *** this study,speech samples are categorized for both training and testing purposes based on their geographical *** 1 comprises speech samples from speakers outside of India,whereas Category 2 comprises live-recorded speech samples from Indian *** speech samples are likewise classified into four distinct sets,taking into consideration both geographical origin and the language spoken by the ***,the results indicate a noticeable difference in gender identification accuracy among speakers from different geographical *** speakers,utilizing 52 Hindi and 26 English phonemes in their speech,demonstrate a notably higher gender identification accuracy of 85.75%compared to those speakers who predominantly use 26 English phonemes in their conversations when the system is trained using speech samples from Indian *** gender identification accuracy of the proposed model reaches 83.20%when the system is trained using speech samples from speakers outside of *** the analysis of speech signals,Mel Frequency Cepstral Coefficients(MFCCs)serve as relevant features for the speech *** deep learning classification algorithm utilized in this research is based on a Bidirectional Long Short-Term Memory(BiLSTM)architecture within a Recurrent Neural Network(RNN)model.

关键词： Deep learning recurrent neural network voice signal mel frequency cepstral coefficients geographical area gender

碳基材料的Z型和S型异质结光催化清洁能源综述

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新型炭材料（中英文） 2024年第3期39卷 458-482页

作者： Sahil Rana Amit Kumar WANG Tong-tong Gaurav sharma Pooja Dhiman Alberto García-Penas International Research Centre of Nanotechnology for Himalayan Sustainability(IRCNHS) Shoolini UniversitySolan173229India 西安建筑科技大学交叉创新研究院西安710055 Departamento de Ciencia e Ingeniería de Materiales e Ingeniería Química(IAAB) Universidad Carlos Ⅲ de MadridLegan'es28911Spain

碳纳米管/纳米纤维、石墨烯、氧化石墨烯、还原氧化石墨烯、石墨炔、碳量子点和富勒烯等炭材料因具有高导电性、优异的稳定性和生物相容性等独特性能,近年来受到广泛关注。在炭材料中构建Z型和S型异质结已成为在能量转换应用中提高光催... 详细信息

碳纳米管/纳米纤维、石墨烯、氧化石墨烯、还原氧化石墨烯、石墨炔、碳量子点和富勒烯等炭材料因具有高导电性、优异的稳定性和生物相容性等独特性能,近年来受到广泛关注。在炭材料中构建Z型和S型异质结已成为在能量转换应用中提高光催化效率的一种有效策略。本文综述了光催化制氢和CO_(2)还原等清洁能源的基本原理,阐述了它们各自的机理和优势。此外,还讨论了不同类型的炭材料以及其中Z型和S型异质结的合成和构建,强调了它们在促进电荷分离、减少光生载流子复合损失和扩大光谱响应范围方面的作用。以太阳能燃料生产为重点,讨论和总结了碳基Z型和S型异质结在光催化制氢和还原CO_(2)方面的最新进展。最后,讨论了目前碳基光催化剂领域的瓶颈和挑战,并对该领域的未来发展提出了有价值的见解。

关键词：炭材料异质结 Z型 S型光催化氢能材料

Surgeon Perspectives on Anastomotic Leaks and FluidAI’s StreamTM Platform: Integrating Qualitative Insights for Technological Innovation

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Surgical Science 2024年第8期15卷 492-500页

作者： Olivia Rennie Manaswi sharma Nour Helwa Department of Clinical Affairs FluidAI Medical (Formerly NERv Technology Inc.) Kitchener Canada Faculty of Medicine University of Toronto Toronto Canada

Purpose: This article investigates the critical importance of integrating surgeons’ direct input into the development of innovative technologies that address gaps in surgical care, including those aimed at reducing anastomotic leaks (AL), a major complication in gastrointestinal surgery. While traditional quantitative research methods are prevalent, they often overlook the invaluable insights of the surgeons who manage these complications firsthand. Subjects and Methods: This study employs a qualitative approach, utilizing semi-structured interviews with 40 surgeons from various specialties, including general, bariatric, colorectal, trauma, hepato-biliary, and thoracic surgery. The interviews were designed to probe the needs of surgeons, challenges currently faced, and gaps in clinical practice, research, and technology for detection and/or management of AL. The data were analyzed using thematic analysis, which revealed significant gaps in current technologies for early detection and prevention of leaks. Results: Surgeons expressed strong interest in FluidAI’s Stream™ Platform, a non-invasive medical device designed to monitor postoperative drainage fluid in real-time, providing continuous data on AL risk. The ability of this platform to offer early prediction through pH and electrical conductivity analysis was particularly appealing to participants, who emphasized the importance of timely interventions in improving patient outcomes. The study’s findings highlight not only the clinical challenges but also the emotional toll that AL takes on surgeons, underlining the need for innovations that are both data-driven and humanistic. Conclusion: By centering surgeons’ perspectives, this research advocates for a human-centered approach to technological advancement, ensuring that new tools are both clinically effective and aligned with the real-world needs of surgical practitioners.

关键词： Anastomotic Leaks Surgeon Perspectives Postoperative Complications Qualitative Inquiry Technological Innovation