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

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

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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

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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

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Serum ferritin and the risk of early-onset colorectal cancer

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World Journal of Gastrointestinal Oncology 2024年第8期16卷 3496-3506页

作者： Adam L Urback Kylee Martens Hannah Stowe McMurry Emerson Y Chen Caitlin Citti Anil sharma Adel Kardosh Joseph J Shatzel Division of Internal Medicine Oregon Health&Science UniversityPortlandOR 97239United States Division of Hematology and Medical Oncology Knight Cancer InstituteOregon Health&Science UniversityPortlandOR 97239United States Division of Gastroenterology&Hepatology Oregon Health&Science UniversityPortlandOR 97239United States

BACKGROUND The incidence of early-onset colorectal cancer(EO-CRC)is rising in the United States,and is often diagnosed at advanced *** serum ferritin is often incidentally discovered in young adults,however,the indication for endoscopy in EO-CRC is *** To compare serum ferritin between patients with EO-CRC and healthy controls(HCs),and examine the association of serum ferritin in EO-CRC with patient-and disease-specific *** A retrospective study of patients<50 years with newly-diagnosed EO-CRC was conducted from 1/2013-12/*** were included if serum ferritin was measured within 2 years prior to 1 year following CRC histologic *** supplement the analysis,a cohort of HCs meeting similar inclusion and exclusion criteria were identified for comparison.A sensitivity analysis including only patients with serum ferritin obtained at or before diagnosis was separately performed to minimize risk of *** Among 85 patients identified with EO-CRC(48 females),the median serum ferritin level was 26 ng/mL(range<1-2759 ng/mL).Compared to HCs(n=80211),there were a higher proportion of individuals with EO-CRC with serum ferritin<20 ng/mL(female 65%,male 40%)versus HCs(female 32.1%,male 7.2%)age 29-39 years(P=0.002 and P<0.00001,respectively).Stage IV disease was associated with significantly higher serum ferritin compared to less advanced stages(P<0.001).Serum ferritin obtained before or at the time of diagnosis was lower than levels obtained after *** findings were confirmed in the sensitivity *** Severe iron deficiency may indicate an increased risk of EO-CRC,particularly at earlier *** studies defining the optimal serum ferritin threshold and routine incorporation of serum ferritin in screening algorithms is essential to develop more effective screening strategies for EO-CRC.

关键词： Early-onset Young-onset Colorectal cancer Age Ferritin Iron deficiency

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Targeting brain tumors with innovative nanocarriers:bridging the gap through the blood-brain barrier

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Oncology Research 2024年第5期32卷 877-897页

作者： KARAN WADHWA PAYAL CHAUHAN SHOBHIT KUMAR RAKESH PAHWA RAVINDER VERMA RAJAT GOYAL GOVIND SINGH ARCHANA sharma NEHA RAO DEEPAK KAUSHIK Department of Pharmaceutical Sciences Maharshi Dayanand UniversityRohtak124001India Department of Pharmaceutical Technology Meerut Institute of Engineering and Technology(MIET)NH-58Delhi-Roorkee HighwayMeerut250005India Institute of Pharmaceutical Sciences Kurukshetra UniversityKurukshetra136119India Department of Pharmaceutical Sciences Chaudhary Bansi Lal UniversityBhiwani127021India MM College of Pharmacy Maharishi Markandeshwar(Deemed to be University)Mullana-AmbalaHaryana133207India Delhi Pharmaceutical Sciences and Research University(DIPSAR) Delhi Pharmaceutical Sciences and Research UniversityNew Delhi110017India

Background:Glioblastoma multiforme(GBM)is recognized as the most lethal and most highly invasive *** high likelihood of treatment failure arises fromthe presence of the blood-brain barrier(BBB)and stemcells around GBM,which avert the entry of chemotherapeutic drugs into the ***:Recently,several researchers have designed novel nanocarrier systems like liposomes,dendrimers,metallic nanoparticles,nanodiamonds,and nanorobot approaches,allowing drugs to infiltrate the BBB more efficiently,opening up innovative avenues to prevail over therapy problems and radiation ***:Relevant literature for this manuscript has been collected from a comprehensive and systematic search of databases,for example,PubMed,Science Direct,Google Scholar,and others,using specific keyword combinations,including“glioblastoma,”“brain tumor,”“nanocarriers,”and several ***:This review also provides deep insights into recent advancements in nanocarrier-based formulations and technologies for GBM *** of various scientific advances in conjunction with encouraging findings concerning the future perspectives and challenges of nanocarriers for effective brain tumor management has also been discussed.

关键词： Glioblastoma Brain tumor Blood-brain barrier Liposomes Metallic nanoparticles Nanocarriers

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Machine Learning-Assisted Fabrication of PCBM-Perovskite Solar Cells with Nanopatterned TiO2 Layer

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Energy & Environmental Materials 2024年第4期7卷 223-230页

作者： Siti Norhasanah Sanimu Hwa-Young Yang Jeevan Kandel Ye-Chong Moon Gangasagar sharma Gaudel Seung-Ju Yu Yong Ju Kim Sejung Kim Bong-Hyun Jun Won-Yeop Rho Graduate School of Integrated Energy-AI Jeonbuk National University School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology (UNIST) Department of Herbal Medicine Resources College of Environmental and Bioresource Sciences Jeonbuk National University School of Chemical Engineering Jeonbuk National University Department of Bioscience and Biotechnology Konkuk University School of International Engineering and Science Jeonbuk National University

To unlock the full potential of PSCs,machine learning （ML） was implemented in this research to predict the optimal combination of mesoporous-titanium dioxide （mp-TiO2） and weight percentage （wt%） of phenyl-C61-butyric acid methyl ester （PCBM）,along with the current density(Jsc),open-circuit voltage (Voc),fill factor （ff）,and energy conversion efficiency （ECE）.

关键词： machine learning nanopatterning PCBM perovskite solar cells prediction

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Pressure-responsive pH-triggered layer-by-layer coating of paclitaxel-eluting balloon catheters for instant high-dose drug delivery for percutaneous coronary artery intervention

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Nano Research 2024年第10期17卷 9141-9151页

作者： Jeong Yu Lee Shonit Nair sharma Sung-Yu Hong Young-Guk Ko Yangsoo Jang Minjae Do Michael Christopher Stark Qiwen Peng Benjamin Allen Mossburg Bo Chan Seo Yuhan Lee Department of Materials Science and Engineering Korea Advanced Institute of Science and TechnologyDaejeon 305-701Republic of Korea Department of Anesthesiology Perioperativeand Pain MedicineCenter for Accelerated Medical Innovation&Center for NanomedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMA 02115USA Department of Biological Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA Cardiovascular Product Evaluation Center Yonsei University College of MedicineSeoul 120-752Republic of Korea Division of Cardiology Department of Internal MedicineSeverance Cardiovascular HospitalYonsei University College of MedicineSeoul 120-752Republic of Korea

Cardiovascular diseases remain the leading cause of mortality worldwide,with percutaneous coronary interventions(PCI)using drug-eluting stents(DES)as the standard treatment for coronary artery *** advancements in DES technology,challenges such as restenosis and stent thrombosis still necessitate further interventions and carry considerable risks,highlighting an urgent need for a novel therapeutic approach with lower restenosis rates and reduced reintervention *** balloons(DEBs)coated with anti-proliferative agents offer a novel method of local drug delivery for reducing restenosis by directly administering drugs to the lesion ***,efficient delivery of drugs within the brief procedural window while minimizing drug loss during maneuvering to the target site remains a ***,we developed a pressure-responsive and pH-triggered,paclitaxel(PTX)coated DEB catheter for rapid and high-dose delivery of paclitaxel to the lesion sites,overcoming the limitations of drug dispersion and inefficiencies associated with conventional *** the charge reversion of albumin around its isoelectric point,paclitaxel-loaded human serum albumin nanoparticles(PTX-HSA-NPs)and heparin were coated using a layer-by-layer deposition method at pH *** exposure to physiological pH(i.e.,7.4),the coating is rapidly released from the balloon *** with a protective shellac coating,the DEB achieved controlled release of high-dose paclitaxel to the arterial tissue in vivo(up to 400μg per gram tissue),exceeding current DEBs in the *** results suggest the pH-responsive,multi-layer coated DEB’s potential for superior procedural outcomes,addressing a critical unmet need in PCI.

关键词： drug-eluting balloon layer-by-layer coating coronary artery disease paclitaxel

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Atherosclerotic plaque classification in carotid ultrasound images using machine learning and explainable deep learning

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Intelligent Medicine 2024年第2期4卷 83-95页

作者： Soni Singh Pankaj K.Jain Neeraj sharma Mausumi Pohit Sudipta Roy School of Vocational Studies and Applied Sciences Gautam Buddha UniversityGreater NoidaUttar PradeshIndia Artificial Intelligence and Data Science Jio Institute Navi MumbaiMaharashtraIndia School of Biomedical Engineering Indian Institute of TechnologyVaranasiUttar PradeshIndia

Objective The incidence of cardiovascular diseases(CVD)is rising rapidly *** forms of CVD,such as stroke and heart attack,are more common among patients with certain *** development is a major factor underlying cardiovascular events,such as heart attack and stroke,and its early detection may prevent such *** imaging of carotid arteries is a useful method for diagnosis of atherosclerotic plaques;however,an automated method to classify atherosclerotic plaques for evaluation of early-stage CVD is ***,we propose an automated method for classification of high-risk atherosclerotic plaque ultrasound *** Five deep learning(DL)models(VGG16,ResNet-50,GoogLeNet,XceptionNet,and SqueezeNet)were used for automated classification and the results compared with those of a machine learning(ML)-based technique,involving extraction of 23 texture features from ultrasound images and classification using a Support Vector Machine *** enhance model interpretability,output gradient-weighted convolutional activation maps(GradCAMs)were generated and overlayed on original *** A series of indices,including accuracy,sensitivity,specificity,F1-score,Cohen-kappa index,and area under the curve values,were calculated to evaluate model *** output images allowed visualization of the most significant ultrasound image *** GoogLeNet model yielded the highest accuracy(98.20%).Conclusion ML models may be also suitable for applications requiring low computational ***,DL models could be more completely automated than ML models.

关键词： Explainable deep learning Carotid artery Classification VGG 16 ResNet-50 GoogLeNet XceptionNet SqueezeNet

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