bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing supply chain resilience through integration: An empirical study on an e‐commerce platform
Authors: Qi Yinan , Wang Xiaorui , Zhang Min , Wang Qiang 
Published: November 2022

AbstractThe outbreak of the COVID‐19 pandemic has disrupted supply chains and increased the uncertainties faced by firms. While firms are struggling to survive and recover from the pandemic, Chinese e‐commerce platforms have demonstrated resilient supply chains. We develop a framework that investigates the impacts of integration between an e‐commerce platform and suppliers on supply chain resilience and the moderating effect of the suppliers' product flexibility. An analysis of data from a Chinese e‐commerce platform using operational indicators finds that integration between the e‐commerce platform and suppliers in terms of information sharing, joint planning and logistics cooperation has positive impacts on supply chain resilience, while procurement automation has the opposite effect. Furthermore, product flexibility positively moderates the impacts of information sharing, joint planning and logistics cooperation. The results enhance current understandings of the factors that contribute to the development of supply chain resilience and reveal that the relationship between integration and resilience should be examined within a contingency framework. The findings also provide guidelines for managers taking measures to mitigate the negative influences of supply chain disruptions.
Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer
Authors: Abbasian Ardakani Ali , Mohammadi Afshin , Mirza‐Aghazadeh‐Attari Mohammad , Faeghi Fariborz , Vogl Thomas J. , Acharya U. Rajendra 
Published: November 2022

ObjectivesDeep learning algorithms have shown potential in streamlining difficult clinical decisions. In the present study, we report the diagnostic profile of a deep learning model in differentiating malignant and benign lymph nodes in patients with papillary thyroid cancer.MethodsAn in‐house deep learning‐based model called “ClymphNet” was developed and tested using two datasets containing ultrasound images of 195 malignant and 178 benign lymph nodes. An expert radiologist also viewed these ultrasound images and extracted qualitative imaging features used in routine clinical practice. These signs were used to train three different machine learning algorithms. Then the deep learning model was compared with the machine learning models on internal and external validation datasets containing 22 and 82 malignant and 20 and 76 benign lymph nodes, respectively.ResultsAmong the three machine learning algorithms, the support vector machine model (SVM) outperformed the best, reaching a sensitivity of 91.35%, specificity of 88.54%, accuracy of 90.00%, and an area under the curve (AUC) of 0.925 in all cohorts. The ClymphNet performed better than the SVM protocol in internal and external validation, achieving a sensitivity of 93.27%, specificity of 92.71%, and an accuracy of 93.00%, and an AUC of 0.948 in all cohorts.ConclusionA deep learning model trained with ultrasound images outperformed three conventional machine learning algorithms fed with qualitative imaging features interpreted by radiologists. Our study provides evidence regarding the utility of ClymphNet in the early and accurate differentiation of benign and malignant lymphadenopathy.
Applicability of multidimensional convolutional neural networks on automated detection of diverse focal liver lesions in multiphase CT images
Authors: Chen Qingqing , Zhu Yajing , Chen Yinan , Wang Fang , Hu Xi , Ye Yuxiang , Dou Xin , Huang Yechong , Deng Liping , Zhou Wei , Liang Xiao , Hu Hongjie 
Published: November 2022

AbstractPurposeTo investigate the applicability of multidimensional convolutional neural networks (CNNs) together with multiphase contrast‐enhanced CT images on automated detection of diverse focal liver lesions (FLLs).MethodsWe trained detection models based on 2.5D and 3D CNN frameworks using 567 patients with 3892 FLLs and validated on a relatively large independent cohort of 1436 patients with 4723 lesions. The detection performance across different phases (arterial, portal venous [PV], and combined phases) was assessed for the 2.5D model. The lesions were divided into two groups with a cutoff size of 20 mm, and further subdivided into four subgroups of <10, 10–20, 20–50, and ≥50 mm, to verify the detection rates for lesions of different sizes for the 2.5D and 3D models. McNemar's test was used to compare the detection sensitivities among different methods. In addition, sensitivity with 95% confidence intervals and free‐response receiver operating characteristics (FROC) curves were plotted for visualization of the detectability.ResultsIn the 2.5D model, the detection rate of PV phase outperformed arterial phase, and a combination of the two phases further improved the performance over a single phase. The detection sensitivities in the arterial, PV, and combined phases were 0.737 versus 0.802 versus 0.832 for all lesions. The 3D model was superior to the 2.5D model for detecting benign lesions (0.896 vs. 0.807, p < 0.001), malignant lesions (0.940 vs. 0.918, p = 0.013), and all lesions (0.902 vs. 0.832, p < 0.001) regardless of size division. Particularly, the 3D model showed higher sensitivity than the 2.5D model in detecting lesions smaller than 20 mm (0.868 vs. 0.759, p < 0.001). For lesions larger than 20 mm, both the 3D and the 2.5D models achieved excellent detection performance.ConclusionsThe proposed CNN detection model was demonstrated to adaptively learn the feature representations of diverse FLLs and generalize well to a large‐scale validation dataset. The use of multiphase significantly improved the detectability of FLLs compared to single phase. 3D CNN framework showed an enhanced capability over the 2.5D in the detection of FLLs, particularly small lesions. The promising performance shows that the proposed CNN detection system could be a powerful clinical tool for the early detection of hepatic tumors.
Developing strategies “SATIA”: How to manage dysphagia in older people? A Delphi panel consensus
Authors: Zhang Huafang , Zheng Li , Tang Mengling , Guo Fanjia , Yang Lili , Liu Suxiang , Wang Jinyun , Chen Jie , Ye Chenxi , Shi Yajun , Li Sihan , Xue Wenfeng , Su Jie 
Published: November 2022

AbstractAimTo develop a set of evidence‐informed strategies to assist older people to improve swallowing functions and prevent further damage from complications.DesignA two‐round Delphi survey.MethodsAn initial set of dysphagia care strategies with 74 relevant items for older people was formed based on a literature review by seven researchers. An online survey was conducted by 21 panellists, and data of experts' opinions were collected and analysed by improved Delphi method.ResultsThe positive coefficients in the two rounds of expert consultation were 85.71% and 83.33%, respectively. Consensus was reached with 53 items included and was allocated into the following five sections: (1) screening, (2) assessment, (3) training, (4) interventions and (5) management. These strategies were named with the acronym of each section—“SATIA”. The management strategy can be applied to guide the management of older people with dysphagia.
Making Fun of Animals: Ontological Implications of Rituals and Taboos Observed in Geographically and Linguistically Discontinuous Regions of Southeast Asia and Southwestern China
Authors: Forth Gregory 
Published: November 2022

ABSTRACTForty years ago Robert Blust published a comprehensive, comparative analysis of what he called the ‘thunder complex’. Found among linguistically and culturally diverse populations in the Philippines, Indonesia, and peninsular Malaysia, the complex comprises a series of taboos and rites that centre on a belief that certain actions involving a confusion of categories will bring about a punitive storm and the death of offenders in resulting floods, landslides, or lightning strikes. The most typical and widespread of such taboos concern making fun of animals—for example, by dressing them in human clothes, talking to them, or otherwise making them appear ridiculous and so causing people to laugh. The present paper has three objectives. First, I identify a series of rituals performed by adherents of the complex that involve deliberately breaking taboos on animal mockery in order to produce needed rain. Secondly, I introduce a ceremony performed by ethnic minorities in southwestern China for the same purpose. The ceremony has all the hallmarks of the thunder complex and coexists with taboos on making fun of animals. Finally, I discuss what the complex, found among otherwise culturally and linguistic diverse societies, implies for their ontology in regard to human‐animal relations.
Association for Social Anthropology in Oceania 2022 Conference Distinguished Lecture: Social Movement Sightseeing in Melanesia and Beyond
Authors: Lindstrom Lamont 
Published: November 2022

AbstractSocial movements often attract tourists in their wake. The Association for Social Anthropology in Oceania convened a successful annual meeting in Portland, Oregon, less than a year after passionate protests that attracted national attention in the United States. Concerned city boosters, in response, invited tourists to enjoy Portland's vibrant diversity. That same year, Tulsa (Oklahoma) commemorated a 1921 race massacre with a new museum and events that also invited tourist visits. This brings me to consider the consequences of increasing (pre‐Covid‐19) tourists on Tanna (Vanuatu). Island entrepreneurs have packaged Tanna's famed John Frum and Prince Philip movements to entice tourists. Touristic attention and resources, however, can spark dispute within local communities, commoditize bits of culture, and reframe island identity and self‐conception.
The Wagiman Landscape: Mental Maps and Prototypes
Authors: Harvey Mark 
Published: November 2022

ABSTRACTThis paper examines the classification of the landscape, both biota and terrain, in Wagiman, a language of northern Australia. There is considerable debate as to the comparative roles of cognitive and cultural factors in the analysis of landscape terminologies. Any analysis of terminologies necessarily involves consideration of meaning. There are many approaches to the analysis of meaning and analysis of Wagiman landscape classification requires at least two approaches. One approach involves necessary and sufficient conditions for connotation, and the other involves prototypes. The comparative roles of cognitive and cultural factors vary depending upon the approach to meaning, with cognitive factors playing a greater role in connotation and cultural factors playing a greater role in prototypes. The current research literature on Australian languages examines behavioural and morphological oppositions, material make‐up, shape, size as cognitive factors and affordance and human usage as cultural factors. This paper provides evidence that there is another cultural factor which plays a central role in prototype classification, mental maps of the landscape involving zonal oppositions. Prototypes for many terms do not have an individuated reference but rather have an unindividuated reference to typical zones of occurrence.
Breadth and relevance of multivariable inquiry supports deep understanding of science practice
Authors: Lesperance Rosiane , Kuhn Deanna 
Published: November 2022

AbstractThe most important understanding science students should acquire is arguably an understanding of science as a way of knowing, one central to science but not specific to it. Students' own engagement in scientific inquiry and argument can support this developing understanding but does not guarantee it. We report the results of urban adolescents' participation in an extended intervention engaging them in guided inquiry and argument in exploring a multivariable database. Delayed posttest assessments with new content confirmed progress in developing the rich multivariable causal reasoning essential to science. Accompanying this progress was progress in understanding scientific practice, shown in the way students approached reconciling contrasting scientific claims, displaying understanding of when contrasting causal claims conflict with one another and require resolution and when they do not because they work together in a multivariable causal system. Such understanding is a prerequisite to the critical scientific endeavor of resolving diverging claims. Students showed greater benefits in these respects when the intervention activities involved content personally relevant to them and spanned more than one topic.
Cu‐Co Hybrid Crystals Assembled on Hollow Microsphere: Temperature‐Dependent Top‐Down Synthesis and Aggregation‐Induced Conversion from Microwave Shielding to Absorption
Authors: Jia Qianqian , An Zhenguo , Li Man , Liu Ran , Xiao Weixin , Zhang Jingjie 
Published: November 2022

AbstractThe construction of hollow metallic microspheres with rationally designed building blocks of the metal shell is a promising way to achieve low density and functionality control, but the microengineering of the metallic structures on a micrometer spherical surface is a great challenge. In the present work, a novel and simple calcination‐induced aggregation strategy is developed to realize the distribution status and microstructure control of Co‐Cu bimetal building blocks assembled on a hollow glass microsphere support, and thus a series of low‐density (0.58 g cm−3) dual shell composite hollow microspheres are constructed with gradient in electromagnetic property depending on the calcination temperature (CT). The optimized microwave shielding performance can be achieved at a CT of 500 °C, while further increasing CT to 700 °C leads to an interesting conversion from microwave shielding to absorption with an optimized effective absorption bandwidth of 4.64 GHz at a low matching thickness of 1.33 mm. The mechanism underlying the CT‐dependent metallic shell structure variation and further the decisive effect of the shell structure on the microwave response behavior are proposed based on a series of contrast experiments.
Regulating Zinc Nucleation Sites and Electric Field Distribution to Achieve High‐Performance Zinc Metal Anode via Surface Texturing
Authors: Wu Zhenrui , Zou Jian , Li Yihu , Hansen Evan J. , Sun Dan , Wang Haiyan , Wang Liping , Liu Jian 
Published: November 2022

AbstractUnderstanding zinc (Zn) deposition behavior and improving Zn stripping and plating reversibility are significant in developing practical aqueous Zn ion batteries (AZIBs). Zn metal is abundant, cost‐effective, and intrinsically safe compared with Li. However, their similar inhomogeneous growth regime harms their practicality. This work reports a facile, easily scalable, but effective method to develop a textured Zn with unidirectional scratches on the surface that electrochemically achieves a high accumulated areal capacity of 5530 mAh cm−2 with homogenized Zn deposition. In symmetric cells, textured Zn presents a stable cycling performance of 1100 hours (vs 250 h of bare Zn) at 0.5 mA cm−2 for 0.5 mAh cm−2 and lower nucleation and plating overpotentials of 120.5 and 41.8 mV. In situ optical microscopy and COMSOL simulation disclose that the textured surface topography can 1) homogenize the electron field distribution on the Zn surface and regulate Zn nucleation and growth, and 2) provides physical space to accommodate Zn deposits, prevent the detachment of “dead” Zn, and improve the structural sufficiency of Zn anode. Moreover, differential electrochemical mass spectrometry analysis find that the textured Zn with regulated interfacial electron activity also presents a higher resistance toward hydrogen evolution and other parasitic reactions.
Light‐Induced Electric Field Enhanced Self‐Powered Photodetector Based on Van der Waals Heterojunctions
Authors: Shang Huiming , Gao Feng , Dai Mingjin , Hu YunXia , Wang Shuai , Xu Bo , Wang Peng , Gao Bo , Zhang Jia , Hu PingAn 
Published: November 2022

AbstractSelf‐powered photodetectors have attracted widespread attention due to their low power consumption which can be driven by the built‐in electric field instead of external power, but it is very difficult to achieve high responsivity and fast response speed concurrently. Here, a self‐powered photodetector with light‐induced electric field enhancement based on a 2D InSe/WSe2/SnS2 van der Waals heterojunction is designed. The light‐induced electric field derived from the photo‐generated electrons of SnS2 accumulated at the SnS2/WSe2 interface produces an additional negative gate voltage applied to the WSe2 layer, which enhances the built‐in electric field in the InSe/WSe2/SnS2 heterojunction. Accordingly, the photocurrent and photoresponse speed of the heterostructure device are largely improved. The self‐powered photodetector based on the InSe/WSe2/SnS2 heterostructure exhibits a high responsivity of 550 mA W−1, which is a 50 times increase compared to the InSe/WSe2 photodetector, and the response speed (110/120 µs) is one order of magnitude faster than that of the InSe/WSe2 photodetector. The high responsivity and fast speed are caused by the stronger built‐in electric field modulated by a light‐induced electric field, which can separate carriers effectively and reduce drift times. This device architecture can provide a new avenue to fabricate high‐responsivity, fast self‐power photodetectors by utilizing the van der Waals heterojunction.
Online 3D Characterization of Micrometer‐Sized Cuboidal Particles in Suspension
Authors: Binel Pietro , Jain Ankit , Jaeggi Anna , Biri Daniel , Rajagopalan Ashwin Kumar , deMello Andrew J. , Mazzotti Marco 
Published: November 2022

AbstractCharacterization of particle size and shape is central to the study of particulate matter in its broadest sense. Whilst 1D characterization defines the state of the art, the development of 2D and 3D characterization methods has attracted increasing attention, due to a common need to measure particle shape alongside size. Herein, ensembles of micrometer‐sized cuboidal particles are studied, for which reliable sizing techniques are currently missing. Such particles must be characterized using three orthogonal dimensions to completely describe their size and shape. To this end, the utility of an online and in‐flow multiprojection imaging tool coupled with machine learning is experimentally assessed. Central to this activity, a methodology is outlined to produce micrometer‐sized, non‐spherical analytical standards. Such analytical standards are fabricated using photolithography, and consist of monodisperse micro‐cuboidal particles of user‐defined size and shape. The aforementioned activities are addressed through an experimental framework that fabricates analytical standards and subsequently uses them to validate the performance of our multiprojection imaging tool. Significantly, it is shown that the same set of data collected for particle sizing can also be used to estimate particle orientation in flow, thus defining a rapid and robust protocol to investigate the behavior of dilute particle‐laden flows.
From nanomaterials to macromolecules: Innovative technologies for latent fingerprint development
Authors: Assis Alexandro M. L. , Costa Cristiane V. , Alves Meclycia S. , Melo Jeane C. S. , de Oliveira Vitória R. , Tonholo Josealdo , Hillman A. Robert , Ribeiro Adriana S. 
Published: November 2022

AbstractThe majority of conventional techniques for latent fingerprint enhancement are based on chemical reactions or interactions between the developer and fingermark residue components, providing contrast between the surface and the fingerprint ridges. However, these methods might be limited by factors associated with particle size, toxicity of the reagent, selectivity, or sensitivity, that may be circumvented by the synthetic design of innovative materials based on nanoparticles or macromolecular materials, such as conducting polymers, applied as latent fingerprint developers on different surfaces and conditions. Since the structural, optical and electronic properties of the material can be tailored by its molecular scale, the size control of the developer plays an important role to improve the interaction with the latent fingermark residue and/or the surface, enhancing the color contrast and the quality of the developed image (or dactylogram). Hence, creating new reagents and strategies to apply nano‐ and macromolecular scale materials as latent fingermark developers constitutes an exciting rapidly expanding area, generating a wealth of new materials that lead to forensic methodologies with enhanced performance. Recent progress in the application of such materials for development of latent fingermarks present on different surfaces and subject to complex circumstances will be discussed. This will focus on the main barriers to making nanoparticles and conducting polymers viable—and occasionally preferred—materials routinely used by forensic experts, and the potential advantages over conventional methodologies in the acquisition and analysis of crime scene evidence.This article is categorized under:
Forensic Chemistry and Trace Evidence > Trace Evidence
Forensic Chemistry and Trace Evidence > Fingermarks and Other Marks
Forensic Chemistry and Trace Evidence > Emerging Technologies and Methods
Sustainable Mobility Through Knowledge Exchange and Collaborative Mapping of Cycling Infrastructure: SIGenBici in Medellín, Colombia
Authors: da Silveira Arruda Natália , González Zapata Hernán Darío , Navia Hermida Ana Maria 
Published: November 2022

AbstractSustainable mobility is a strategic tool that directly influences the fulfillment of the sustainable development goals (SDGs). We highlight the need to improve cycling as an urban transport option through our research in the city of Medellín (Colombia) and its Metropolitan Area. We present SIGenBici, a collaborative cycling infrastructure mapping project supported by the use of free and open-source software (FOSS) and the generation of open data. This work is aimed at contributing directly to SDG 11: Sustainable cities and communities, and SDG 9: Industry, innovation, and infrastructure. We explain the project development process from the perspective of the mappers, a gender-sensitive approach, and community knowledge transfer. We conclude with reflections on what we have learned throughout this process and future expectations.
Open Data Addressing Challenges Associated with Informal Settlements in the Global South
Authors: Ruzindana Ernest , Gaspari Federica , Ntakobangize Erneste , Ponti Chiara , Biraghi Carlo Andrea , Kilsedar Candan Eylül , Tadi Massimo , Muindi Zacharia , Agenga Peter , Mugeha Laura 
Published: November 2022

AbstractThe United Nations estimates that 3 billion people living in urban contexts will need adequate and affordable housing by 2030. We urgently need alternative perspectives and methodologies for urban development that are environmentally sustainable and inclusive of the local community. This chapter illustrates the design and results of projects carried out by YouthMappers in Rwanda, Italy, and Kenya, focused on informal settlements in the Global South and the value of geospatial data for addressing SDG 1 No Poverty and SDG 11 Sustainable Cities and Communities.