195 research outputs found

    sj-pdf-1-pss-10.1177_09567976231192236 – Supplemental material for Comprehensive Social Trait Judgments From Faces in Autism Spectrum Disorder

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    Supplemental material, sj-pdf-1-pss-10.1177_09567976231192236 for Comprehensive Social Trait Judgments From Faces in Autism Spectrum Disorder by Runnan Cao, Na Zhang, Hongbo Yu, Paula J. Webster, Lynn K. Paul, Xin Li, Chujun Lin and Shuo Wang in Psychological Science</p

    Defects, Fault Modeling, and Test Development Framework for FeFETs

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    As emerging non-volatile memory (NVM) devices, Ferroelectric Field-Effect Transistors (FeFETs) present distinctive opportunities for the design of ultra-dense and low-leakage memory systems. For matured FeFET manufacturing, it is extremely important to have an understanding of manufacturing defects and accurately model them to develop effective test solutions. This paper introduces a comprehensive framework for defect and fault modeling, which enables the development of test solutions. First, a classification of FeFET manufacturing defects is provided; both conventional defects (such as contacts and interconnect defects) as well as unique FeFET defects are discussed. The latter FeFET specific defect leads to unique faults that cannot be adequately described using traditional modeling approaches. Then, the Device-Aware Test (DAT) method is used to effectively and appropriately model, analyze and develop test solutions for such unique defects; the approach will be illustrated for Stuck-at-Polarization (SAP) defects

    Device-Aware Test for Threshold Voltage Shifting in FeFET

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    Ferroelectric Field-Effect Transistors (FeFETs) are promising candidates for non-volatile memory (NVM) technologies, especially in embedded systems and edge computing. However, due to their physical characteristics, FeFETs exhibit unique defects—such as Threshold Voltage Shifting (TVS) caused by trap charges in the oxide layer—that are not captured by conventional defect models. This study adopts the Device-Aware Test (DAT) methodology to model these defects by incorporating their impact into the electrical parameters, calibrated using measurement data. Defect injection, circuit-level simulations, and fault analysis are performed to derive realistic fault models. Finally, the March algorithm and Design-for-Test (DfT) techniques are proposed to effectively detect these defects

    A Maximum Likelihood Method with Penalty to Estimate Link Travel Time Based on Trip Itinerary Data

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    Travel time is an important network performance measure. It is a challenging subject due to the fluctuations in traffic characteristics, such as traffic flow. This study proposes a maximum likelihood method with penalty to estimate link travel time based on trip itinerary data from a statistical point. Three penalized models, which are Lasso penalized model, Ridge penalized model and Revised-Lasso penalized model, are introduced. The models are discussed and compared with the basic model which is a maximum likelihood function without penalty. First, the predictive performance of the basic model and three penalized models are evaluated based on the data of three simulated networks. Results suggest that Revised-Lasso penalized model outperforms other models. In this research, Revised-Lasso penalized model is applied to a simplified Sioux Falls network. This study also provides a detailed procedure to estimate link travel time parameters in the simplified Sioux Falls network. Finally, the effect of the sample size on estimation accuracy is tested. The results show that sample size has a significant effect on the basic model estimation, but it has little effect on the Revised-Lasso penalized model estimation. This study provides an efficient and accurate way to estimate link travel time distribution

    Tourism commercialisation and the frontstage-backstage metaphor in intangible cultural heritage tourism

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    Resolving tensions between tourism commercialisation and intangible cultural heritage (ICH) safeguarding is an important objective. Using the frontstage-backstage metaphor as an analytical lens, we investigate how tourism promotes ICH safeguarding and how detrimental aspects of tourism commercialisation can be handled in Miao silverware tourism in Fenghuang, China. Results show that tourism commercialisation is beneficial because it provides new possibilities and promotes the transformation of ICH. However, fake ICH products are detrimental, prioritising commercial value over ICH value. ICH inheritors create two separate commercial spaces to handle the segmented tourism market. The frontstage-backstage metaphor helps to investigate the transformational process of ICH in tourism and socio-psychological dilemmas of cultural practitioners in dealing with the multiplying realities of ICH

    A novel missense mutation of the DDHD1 gene associated with juvenile amyotrophic lateral sclerosis

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    Background: Juvenile amyotrophic lateral sclerosis (jALS) is a rare form of ALS with an onset age of less than 25 years and is frequently thought to be genetic in origin. DDHD1 gene mutations have been reported to be associated with the SPG28 subtype of autosomal recessive HSP but have never been reported in jALS patients.Methods: Gene screens for the causative genes of ALS, HSP and CMT using next-generation sequencing (NGS) technologies were performed on a jALS patient. Sanger sequencing was used to validate identified variants and perform segregation analysis.Results: We identified a novel c.1483A>G (p.Met495Val) homozygous missense mutation of the DDHD1 gene in the jALS patient. All of his parents and young bother were heterozygous for this mutation. The mutation was not found in 800 Chinese control subjects or the data of dbSNP, ExAC and 1000G.Conclusion: The novel c.1483A>G (p.Met495Val) missense mutation of the DDHD1 gene could be a causative mutation of autosomal recessive jALS

    Cloud eating together

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    The study aims to investigate the influence of eating together, especially a novel eating behavior, i.e. eating together online on the food choice. We plans to conduct a series of experiments to explore the interesting phenomenon

    Design of solvent vapor annealing tool and study of kinetics of selfassembly of block copolymers for nano-lithography

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    Block copolymer lithography is a very promising candidate for nanoscale fabrication and is economically viable. It provides a high resolution, inexpensive, and straightforward approach to nano-size patterning. In this thesis, fundamental concepts and theories of block copolymer lithography are introduced. A well-controlled dynamic solvent vapor annealing chamber is built, and the best annealing condition using this chamber is investigated. Two changed parameters in this thesis are annealing time and initial film thickness. By using atomic force microscopy and other characterization methods, self-assembly structures of PS-b-P4VP films before and after solvent annealing with Tetrahydrofuran are studied. The best arrangement of hexagonally packed vertical cylinders is obtained after 60 min annealing with initial polymer film thickness around 50-57 nm and reaches its equilibrium pitch of 58 nm. This thesis also contains the study of the kinetics of the self-organization process of block copolymer films during annealing
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