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新型炭材料(中英文) 2024年

作者： Sahil Rana Amit Kumar Wang Tong-tong Gaurav sharma Pooja Dhiman Alberto García-Penas Interdisciplinary and Innovate Research Xi'an University of Architecture and Technology Departamento de Ciencia e Ingeniería de Materiales e Ingeniería Química (IAAB) Universidad Carlos III de Madrid International Research Centre of Nanotechnology for Himalayan Sustainability (IRCNHS) Shoolini University

Carbonaceous materials including carbon nanotubes/nanofibers, graphene, graphene oxide, reduced graphene oxide,graphyne, graphdiyne, carbon quantum dots and fullerenes have gained considerable attention in the recent years for their unique properties such as high conductivity, excellent stability and biocompatibility. The integration of these carbonaceous materials into Zscheme and S-scheme heterojunctions has emerged as a transformative strategy to enhance the photocatalytic efficiency for energy conversion applications. This review delves into the fundamental principles of clean energy generation such as photocatalytic H2generation and CO2reduction, elucidating their respective mechanisms and advantages. Furthermore, various types of carbonaceous materials, their synthesis and construction of Z-scheme and S-scheme heterojunctions are discussed emphasizing their role in promoting charge separation, reducing recombination losses and extending the spectral response range. With the focus on solar fuel production,the recent advancements in carbonaceous based Z-scheme and S-scheme heterojunctions are discussed and summarized for photocatalytic H2generation and CO2reduction. Lastly, the current bottlenecks and challenges in the field of carbonaceous based photocatalysts are discussed with the valuable insights for future development in this particular field.

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Systemic treatment of hepatocellular carcinoma secondary to nonalcoholic fatty liver disease

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World Journal of Clinical Oncology 2024年第11期15卷 1394-1403页

作者： Karolina Rzeniewicz Rohini sharma Department of Surgery and Cancer Hammersmith HospitalLondon W120NNUnited Kingdom

Hepatocellular carcinoma(HCC)is the third leading cause of cancer death globally,with 15%of cases arising on a background of non-alcoholic fatty liver disease(NAFLD).NAFLD is a heterogenous condition ranging from fatty liver to cirrhosis and is itself a growing global problem,with estimated worldwide prevalence of 50%in *** of NAFLD-HCC is not well understood,there are no dedicated screening programs,and there have been no clinical studies of anticancer treatments in this population ***,the NAFLD-HCC population appears different than other aetiologies-patients tend to be older,diagnosed at more advanced stages,have more comorbidities,and overall worse *** of best treatment options for this group of patients is an urgent unmet clinical *** narrative review discusses NAFLD-HCC pathophysiology and systemic treatment,and offers suggestions for future directions in this therapy area.

关键词： Hepatocellular carcinoma Non-alcoholic fatty liver disease Systemic anticancer therapy Immunotherapy Targeted therapy Pathophysiology

Molecular insights into clinical trials for immune checkpoint inhibitors in colorectal cancer:Unravelling challenges and future directions

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World Journal of Gastroenterology 2024年第13期30卷 1815-1835页

作者： Samantha sharma Naresh Singh Anita Ahmed Turk Isabella Wan Akshay Guttikonda Julia Lily Dong Xinna Zhang Mateusz Opyrchal Department of Medical and Molecular Genetics Indiana University School of MedicineIndianapolisIN 46202United States Division of Hematology/Oncology Department of MedicineIndiana University School of MedicineIndianapolisIN 46202United States Melvin and Bren Simon Comprehensive Cancer Center Indiana University School of MedicineIndianapolisIN 46202United States

Colorectal cancer(CRC)is a complex disease with diverse etiologies and clinical *** considerable progress in development of CRC therapeutics,challenges remain regarding the diagnosis and management of advanced stage metastatic CRC(mCRC).In particular,the five-year survival rate is very low since mCRC is currently rarely *** the past decade,cancer treatment has significantly improved with the introduction of cancer immunotherapies,specifically immune checkpoint *** aimed at blocking immune checkpoints such as PD-1,PD-L1,and CTLA-4 target inhibitory pathways of the immune system,and thereby enhance anti-tumor *** therapies thus have shown promising results in many clinical trials alone or in *** efficacy and safety of immunotherapy,either alone or in combination with CRC,have been investigated in several clinical *** trials,including KEYNOTE-164 and CheckMate 142,have led to Food and Drug Administration approval of the PD-1 inhibitors pembrolizumab and nivolumab,respectively,for the treatment of patients with unresectable or metastatic microsatellite instability-high or deficient mismatch repair ***,these drugs benefit only a small percentage of patients,with the benefits of immunotherapy remaining elusive for the vast majority of CRC *** this end,primary and secondary resistance to immunotherapy remains a significant issue,and further research is necessary to optimize the use of immunotherapy in CRC and identify biomarkers to predict the *** review provides a comprehensive overview of the clinical trials involving immune checkpoint inhibitors in *** underlying rationale,challenges faced,and potential future steps to improve the prognosis and enhance the likelihood of successful trials in this field are discussed.

关键词： Colorectal cancer Immune checkpoint inhibitors Clinical trials Immunotherapy Microsatellite instability Microsatellite stability DNA mismatch repair

Mechanism of microbial spore inactivation through electromagnetic radiations:a review

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Journal of Future Foods 2024年第4期4卷 324-334页

作者： Piyush sharma Arun Prasath Venugopal Parag Prakash Sutar Hong-wei Xiao Qi Zhang Deparment of Food Process Engineering.National Institute of Techmology Rourkela Odisha 769008India College of Engineering China Agriculural UniversityBeijing 100083China School of Mechanical Engineering Yangzhou UTniversiny Yangzhou 225002China

Spores are the biological structures formed out of sporulation from vegetative cells in adverse *** tolerant to many extreme environment and conditions,they escape and survives critical processing steps in the food industry that poses food and health safety problems,as is evident from the increase in reports of food-bome outbreaks due to *** radiation(EM)is used for rapid decontamination and sterilization purposes in the food *** studies have reported a greater reduction in spore population upon irradiation with EM rays due to its impact on genomic material and other components of spores that destabilises overall structue and brings clonogenic death However,there is scattered literature regarding the mechanism of its inactivation and resistance against such *** review attempts to concisely evaluate the potential of electromagnetic radiations in spore inactivation and details its mechanism through a collective study of scientific results and *** also briefs about the process of sporulation,the structure of spores and the role of its components in the resistance of spores to *** studies,which demonstrated that combining various EM treatments might be an effective way for inactivation of spores,were discussed in detail.

关键词： Spore structure Electromagnetic radiations Mechanism of inactivation Damage resistance

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

Outcome of patients with traumatic cranial nerve palsy admitted to a university hospital in Nepal

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中华神经外科杂志(英文) 2024年第2期10卷 1-7页

作者： Kumari Khusbu Gautam Naveen Parajuli Monika Singh Shreejana Pradhananga Amit Sedai Gopal Shilpakar Sushil sharma Mohan Raj Maharajgunj Medical Campus Institute of Medicine Tribhuvan University Maharajgunj Kathmandu Nepal Department of Research Institute of Medicine Maharajgunj Kathmandu Nepal Department of Neurosurgery Tribhuvan University Teaching Hospital Maharajgunj Kathmandu Nepal

Background Cranial nerve palsy (CNP) is a common complication of traumatic brain injury (TBI). Despite a high incidence of TBI in Nepal (382 per 100,000), literature on the specific management and outcome of CNP is lacking. This study aimed to examine the outcomes of TBI patients involving single versus multiple *** A retrospective chart review of 170 consecutive TBI patients admitted to the tertiary neurosurgical center in Nepal between April 2020 and April 2022 was conducted. Demographic, clinical, and etiological characteristics; imaging findings; and management strategies were recorded, compared, and analyzed using descriptive statistics. The Glasgow Outcome Scale Extended (GOSE) was used to measure the outcomes in two groups of patients (single and multiple CNP) at 3 *** Out of 250 eligible patients, 80 were excluded and CNP was noted in 29 (17.1%) of the remaining 170. The median age was 34.9 years, and falls (60.6%) were the most common cause of trauma. TBI severity was categorized based on GCS: mild (82.4%), moderate (15.9%), and severe (1.8%). Cranial nerve involvement was seen in 29 (17.05%) patients: single cranial nerve involvement in 26 (89.65%) and multiple nerve involvement in 3 (10.34%). The most common isolated cranial nerve involved was the oculomotor nerve (37.9%). CT findings revealed a maximum of skull fractures with no significant association between CNP and CT *** CNP is a common consequence of TBI with the most common etiology being falls followed by RTA. Single CNP was more common than multiple CNP with no significant difference in the outcome in the 3-month GOSE score. Further research is needed to determine the burden of traumatic CNP and establish specific management guidelines for different types of CNP.

关键词： Cranial nerve palsy Nepal Outcome Traumatic brain injury

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

Poplar Plantation as an Agroforestry Approach:Economic Benefits and Its Role in Carbon Sequestration in North India

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Journal of Resources and Ecology 2024年第4期15卷 880-888页

作者： Rajeev JOSHI Bharat sharma Hukum SINGH Nabin DHAKAL Santosh AYER Tek MARASENI College of Natural Resource Management Faculty of ForestryAgriculture and Forestry UniversityUdayapurKatari 56310Nepal Sustainable Initiatives for the Community(SIFC) Kathmandu 44600Nepal Forest Research Institute PO New ForestDehradun 248006India Institute for Life Sciences and the Environment University of Southern QueenslandToowoombaQLD 4350Australia

Poplar has gained popularity among farmers of Punjab,Haryana,Western Uttar Pradesh,and the foothills of Uttarakhand and Himachal Pradesh due to their fast growth rate and suitability for industrial uses such as pulp and timber *** poplar trees into agroforestry systems optimizes land resources and economic gains,as successful techniques have been developed to coordinate crop timing and arrangements *** poplar trees with agricultural crops provides additional income streams for farmers and contributes to soil conservation,biodiversity enhancement,and other environmental *** in these regions typically employ effective spacing of 5 m×4 m for block plantation and 1 m×3 m for row *** the present study,a systematic literature review encompassing 137 English-language journal articles was conducted to assess the economic benefits of Poplar using discounted cash flow(DCF)analysis,considering short-rotation poplar(SRC)and very short-rotation poplar(vSRC)plantations alongside annual *** findings revealed that increasing canopy density led to a decline in crop yields by 37%,70%,and 99% at canopy densities of 30%,60%,and 90%,respectively,from early spring to ***-benefit analysis in Saharanpur district,India,indicated average annual net returns of USD 346.36 for Poplar-based agrisilviculture,while monoculture yielded USD 140.73 per ***,economic analysis in Yamunanagar and Haridwar districts showed benefit-cost ratios ranging from 2.35 to ***,Poplar block and boundary plantations were found to sequester significantly more carbon in long-lived biomass,serving as substitutes for fossil fuels(5.45 and 1.84 t ha-1 yr-1)in poplar-based systems with block and boundary *** study suggested expanding spacing between tree rows may mitigate resource competition between plantations and *** study inferred that Poplar-based agroforestry may play a crucial role in climate mit

关键词： agroforestry poplar economic viability carbon sequestration India

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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

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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