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Defect mediated losses and degradation of perovskite solar cells:Origin impacts and reliable characterization techniques

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Journal of Energy Chemistry 2024年第7期94卷 217-253页

作者： Himangshu Baishy Ramkrishna Das Adhikari Mayur Jagdishbhai Patel Deepak Yadav tapashi sarmah Mizanur Alam Manab Kalita Parameswar Krishnan lyer Centre for Nanotechnology Indian Institute of Technology GuwahatiGuwahati 781039AssamIndia Department of Chemistry Indian Institute ofTechnology GuwahatGuwahati739AssamIndi

The rapid advancement of halide-based hybrid perovskite materials has garnered significant research attention,particularly in the domain of photovoltaic *** to their exceptional optoelec-tronic properties,they demonstrated power conversion efficiency(PcE)of over 25%in single junction solar *** the notable progress in PCE over the past decade,the inherent high defect density pre-senting in perovskite materials gives rise to several loss mechanisms and associated ion migration in per-ovskite solar cells(PsCs)during operational *** factors collectively contribute to a significant stability challenge in PsCs,placing their longevity far behind for *** numerous reports have explored defects,ion migration,and their impacts on device performance,a com-prehensive correlation between the types of defects and the degradation kinetics of perovskite materials and PsCs has been *** this context,this review aims to provide a comprehensive overview of the origins of defects and ion migration,emphasizing their correlation with the degradation kinetics of per-ovskite materials and PsCs,leveraging reliable characterization ***,these charac-terization techniques are intended to comprehend loss mechanisms by different passivation approaches to enhance the durability and PCE of PSCs.

关键词： Perovskite solar cells Defects lon migration Degradation Stability

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Clinical profile and risk factors of Strongyloides stercoralis infection

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Asian Pacific Journal of Tropical Medicine 2024年第1期17卷 43-44页

作者： Rupak Chatterjee Alisha Acharya Subhoroop Ghosh Shatavisa Mukherjee tapashi Ghosh Nandini Chatterjee Netai Pramanik Department of Tropical Medicine School of Tropical MedicineKolkataWest BengalIndia Department of Microbiology School of Tropical MedicineKolkataWest BengalIndia Eastern Regional Centre National One Health Program for Prevention and Control of ZoonosesSchool of Tropical Medicine KolkataWest BengalIndia Department of Clinical&Experimental Pharmacology School of Tropical MedicineKolkataWest BengalIndia Department of Medicine IPGMER-SSKM HospitalKolkataWest BengalIndia

Strongyloides(S.)stercoralis,endemic in tropical and subtropical countries,is a soil-transmitted geohelminth human parasite belonging to a group of nematodes called *** is one of the most overlooked parasitic infections enlisted among the WHO"neglected tropical diseases"[1].*** mainly infects humans but can also be found naturally in domestic dogs,cats,and some primates.

关键词： tropical subtropical listed

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A Study of Triangle Inequality Violations in Social Network Clustering

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Journal of Computer and Communications 2024年第1期12卷 67-76页

作者： Sanjit Kumar Saha tapashi Gosswami Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh Brandenburg University of Technology Cottbus-Senftenberg Cottbus Germany

Clustering a social network is a process of grouping social actors into clusters where intra-cluster similarities among actors are higher than inter-cluster similarities. Clustering approaches, i.e. , k-medoids or hierarchical, use the distance function to measure the dissimilarities among actors. These distance functions need to fulfill various properties, including the triangle inequality (TI). However, in some cases, the triangle inequality might be violated, impacting the quality of the resulting clusters. With experiments, this paper explains how TI violates while performing traditional clustering techniques: k-medoids, hierarchical, DENGRAPH, and spectral clustering on social networks and how the violation of TI affects the quality of the resulting clusters.

关键词： Clustering Triangle Inequality Violations Traditional Clustering Graph Clustering

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