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This study focussed on the development of fully biodegradable composites based on polybutylene succinate (PBS) in combination with raw materials from different processing stages of the pulp and paper industry. Sulfite pulp (SP), kraft pulp (KP) and screened sludge residue (SL) from wastewater treatment plants (WWTP) were investigated as reinforcing fibres contributing to a circular economy. We report a comparative study of the physicochemical properties and mechanical performance of PBS composites reinforced with these cellulosic raw fibres and commercial pure microcrystalline cellulose (MC). The composites were characterised in tensile strength, elongation at break, modulus of elasticity, water absorption and wettability. The incorporation of the fibres into the polymer matrix was also investigated using torque rheometry. Critical concentrations were obtained with maximum incorporation in the range of 15–20 wt% for SP/KP and 25–30 wt% for SL. SP and KP composites showed at least as good physicochemical and mechanical properties as MC at the concentrations studied (0–20 wt%). SP-composites showed the highest tensile strength and modulus of elasticity. It was shown that these fibres from the pulp and paper industry can be used as reinforcement for PBS matrices without additional chemical purification and provide a valuable alternative to commercial microcrystalline cellulose. [ABSTRACT FROM AUTHOR]

Evaluating academic papers and groups is important in scholar evaluation and literature retrieval. However, current evaluation indices, which pay excessive attention to the citation number rather than the citation importance and unidirectionality, are relatively simple. This study proposes new evaluation indices for papers and groups. First, an improved PageRank (PR) algorithm introducing citation importance is proposed to obtain a new citation-based paper index (CPI) via a pre-ranking and fine-tuning strategy. Second, to evaluate the paper's influence inside and outside its research field, the focus citation-based paper index (FCPI) and diversity citation-based paper index (DCPI) are proposed based on topic similarity and diversity, respectively. Third, aside from the statistical indices for academic papers, we propose a foreign academic degree of dependence (FAD) to characterise the dependence between two academic groups. Finally, artificial intelligence (AI) papers from 2005 to 2019 are utilised for a case study. [ABSTRACT FROM AUTHOR]

We examined how a group of Chinese undergraduate students understood paraphrasing and source use conventions for research paper writing in English. Prior scholarship has generated valuable insights about novice second language (L2) writers' unconventional source use practices, but little is known about how these writers interpret and understand source use expectations for English academic writing. We followed a group of nine Chinese undergraduate students for an academic term as they learned to paraphrase and write with sources for their research paper assignments. Drafts of students' papers were collected and rounds of text-based interviews were conducted where students were asked to explain their source use decisions. Findings showed that the students actively and constantly referenced their source use knowledge of Chinese essay writing to help make sense of source use expectations for English academic writing, although their understanding of English academic source use as well as their rendition of culture may likely be viewed by expert academic writers as 'insufficient' or 'inadequate'. We conclude by highlighting the importance of foregrounding learner voice and acknowledging the legitimacy of the interpretations of novice L2 writers as intercultural informants in the teaching of English academic source use. [ABSTRACT FROM AUTHOR]

This article analyses the American Express travel board game Money Card (1972) as it highlights the intertwinement between the rise of a distinctive form of tourism as a modern mass industry and the expansion of the capitalist market, the primacy of the dollar, and U.S. hegemony. In a period marked by a shift from paper money to credit cards and global credit markets, American Express was the most powerful and easily identifiable symbol of the new post-war international economic order dominated by U.S. economic and political power. Placing the American Express Money Card board game within the shift from the post-war economy of reconstruction to credit expansion and neoliberalism, brings to the forefront the ways in which the game presented tourism as a ritual in celebration of capitalism. As a form of armchair travel, the board game sold tourism as a re-enchantment of the world. The article explores how the board game framed the American Express Card as fetish object, portrayed Europe as up for sale, and created a desire for the services of American Express and consumerism more generally. It shows how players were trained to use credit cards, be good consumers, and participate in the economy of the tourist industry. By advancing a capitalist tourist dreamworld, Money Card shaped perceptions of travel to Europe and created a religious illusion, offering a re-enchantment of the world through tourism and credit cards. [ABSTRACT FROM AUTHOR]

Quantifiable predictability in the citation counts of articles is significant in scientometrics and informetrics. Many metrics based on the citation counts can evaluate the scientific impact of research articles and journals. Utilising time series models, an article's citation counts up to the y th year after publication can be predicted by those up to the previous years. However, the typically used models cannot predict the fat tail of the actual citation distributions. Thus, based on cumulative advantage of the citation behaviour, we propose a method to predict the accumulated citation counts, by using a random number sampled from a power-law distribution to modify the results given by a recurrent neural network (RNN), long short-term memory. Extensive experiments on the data set including 17 journals in information science verified the effectiveness of our method by the good fittings on distributions and evolutionary trends of the citation counts of articles. Our method has the potential to be extended to predict other popular assessment measures such as impact factor and h -index for journals. [ABSTRACT FROM AUTHOR]

The landmark 2016 Minimal Invasive Extracorporeal Technologies International Society (MiECTiS) position paper promoted the creation of a common language between cardiac surgeons, anesthesiologists and perfusionists which led to the development of a stable framework that paved the way for the advancement of minimal invasive perfusion and related technologies. The current expert consensus document offers an update in areas for which new evidence has emerged. In the light of published literature, modular minimal invasive extracorporeal circulation (MiECC) has been established as a safe and effective perfusion technique that increases biocompatibility and ultimately ensures perfusion safety in all adult cardiac surgical procedures, including re-operations, aortic arch and emergency surgery. Moreover, it was recognized that incorporation of MiECC strategies advances minimal invasive cardiac surgery (MICS) by combining reduced surgical trauma with minimal physiologic derangements. Minimal Invasive Extracorporeal Technologies International Society considers MiECC as a physiologically-based multidisciplinary strategy for performing cardiac surgery that is associated with significant evidence-based clinical benefit that has accrued over the years. Widespread adoption of this technology is thus strongly advocated to obtain additional healthcare benefit while advancing patient care. [ABSTRACT FROM AUTHOR]

Recycling every viable material to produce new value-added products not only reduces waste, but also provides an opportunity to create sustainable and innovative solutions while preserving our natural resources. With this motivation, electrically conductive one-dimensional carbon fibers and two-dimensional aluminum flakes reinforced cellulose matrix composite papers were manufactured using recycled materials with a scalable, eco-friendly, and low-cost papermaking process. The designed composite paper showed 36.1 dB electromagnetic interference shielding efficiency (EMSE) with an absorbance-dominated performance by absorbing 98.85% of electromagnetic waves. An efficient impedance matching was obtained on the composite paper surface using reinforcements with different morphologies. Cellulose paper samples were converted to electrically conductive composites (0.415 S/cm), and the electrical conductivity was altered by tailoring the reinforcement ratios. Thermo-mechanical test results revealed that the cellulose matrix's storage modulus was increased from 1.44 to 2.1 GPa with a 46.5% improvement. The composite cellulose paper represented increased hydrophilicity with higher porosity. The environmentally friendly composite paper responses to the escalating environmental worries and possesses a tremendous possibility of being utilized as an electromagnetic shielding material. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has highlighted a major contradiction in contemporary urban planning. This is the relationship between the entrepreneurial modes of urban politics that shape contemporary planning practice and the interrelated dynamics of economic precarity and informalisation of low-income communities that exacerbate contagion, and therefore enable pandemic spread. Through a review of literature on the urban dimensions of COVID-19, and on the historical relationship between pandemics and urban planning, we develop a framework for analysing the debates that are emerging around planning approaches to addressing contemporary pandemic risk in low-income, informalised communities. We argue that post-pandemic debates about urban planning responses are likely to take shape around three discourses that have framed approaches to addressing informalised communities under entrepreneurial urbanism – a revanchist approach based on territorial stigmatisation of spaces of the poor, an incrementalist approach premised on addressing the most immediate drivers of contagion, and a reformist approach that seeks to address the structural conditions that have produced economic precarity and shelter informality. We further argue that any effort to assess the political outfall of the COVID-19 pandemic in a given context needs to take an inter-scalar approach, analysing how debates over informality take shape at the urban and national scales. [ABSTRACT FROM AUTHOR]

The article focuses on the introduction of Special Sections in the periodical, inviting Guest Editors to submit proposals for thematic issues. Topics discussed include the process for proposal submission and evaluation; the importance of global relevance and high-quality content; and the journal's recent achievement of reaching Q1 ranking.

In the era of print reading, being selected as a cover paper holds a crucial role in attracting greater attention and bolstering academic influence. It is important to assess its effect on scholarly attention and academic influence, particularly in light of the evolving reading habits among researchers. In this study, we empirically estimate the impact of ‘being selected as a cover paper’ on scholarly online attention (proxied by altmetric score) and academic influence (measured by citation counts). This analysis is based on a data set comprising 25,238 papers selected from 10 high-impact materials science journals (with journal impact factors exceeding 10) published between 2016 and 2020. Our findings indicate a positive correlation between ‘being selected as a cover paper’ and scholarly online attention, while its impact on academic influence is insignificant. Our results remain robust even when excluding the top 1% mostly cited papers, employing the negative binomial model and considering various time windows for estimation. Heterogeneity analysis indicates that the impact of ‘being selected as a cover paper’ on scholarly online attention holds across nearly all topics, consistent with the baseline result. In addition, online platforms, such as Twitter and News outlets, exhibit a higher frequency of sharing research featured as cover papers. We offer suggestive evidence that ‘being selected as a cover paper’ is not solely contingent on its quality. These findings contribute to the development of a precise, dynamic and multi-dimensional evaluation framework, crucial for navigating the revolution of science communication. [ABSTRACT FROM AUTHOR]

Patent citations received by a paper are considered one of the most appropriate indicators for quantifying the technological impact of scientific research. In light of the large number of published research outcomes, technology developers need an effective method to identify academic work with potential technological impact and so as to provide scientific theories for the generation of relevant technologies. Focusing on the technical field of artificial intelligence (AI), this study constructs a set of 47 features from seven dimensions and uses feature selection and machine learning models to accurately predict how research papers impact AI technology. The results show that the random forest model is superior to the other tested models in predicting AI patent citations of papers, with citation-related features (such as ‘PaperCitations’ and ‘Background’) playing a vital role in the prediction. [ABSTRACT FROM AUTHOR]

This study examines the interdisciplinarity scores of papers published in five major Economic journals by analysing their references. It also explores the relationship between interdisciplinarity and citation. The study considers the influence of the citation time window on accumulating citations and investigates the source of citation advantage for high interdisciplinarity papers. Empirical findings reveal a U-shaped curve relationship between the interdisciplinarity of papers and their citation frequency. Papers with high interdisciplinarity do enjoy a citation advantage, which primarily stems from the attention and citations from distant disciplinary papers and multidisciplinary journals. However, it often takes a longer time for the value of interdisciplinary papers to be recognised. Based on these findings, the study discusses the necessity and effectiveness of incentives for interdisciplinary research and provides recommendations for evaluating and managing interdisciplinary research. [ABSTRACT FROM AUTHOR]

In Accra's migrant neighbourhoods called zongos, personal photo archives are carefully kept in plastic bags or albums, revealing the migratory biographies of living and late family members and the various social activities in which they engage. This paper unpacks the archives of three women in the zongos, interweaving the indexical values of the photographs with an analysis of their material historicity of exchange and haptic encounters. I argue that in the collections, fragments of the zongo women's personhood are both materially and ontologically diffracted, as such performing personhood in line with gendered zongo grammars and values of extended networks of affiliation, affect, and generosity. Such performance is controlled by the owners of the collections, thus creating openings for self-representation and social mobility, but also for contesting gendered grammars. [ABSTRACT FROM AUTHOR]

Authentication devices transform cheap paper into legitimate documents. They are the sensory, informational, and computational features that make up valuable papers like banknotes and passports, and they provide the confidence required in moments of exchange and passage. These devices – which include techniques like watermarks and specialized threads, proprietary substrates and inks, or RFID chips – are the product of security printing, an industry that continuously reinvents the possibilities of paper. Importantly, these components protect paper things from counterfeiting, allowing it to function as an original and authentic copy and to do the logistical work of connecting quotidian materials to global networks. The value of valuable papers is therefore not purely extrinsic, socially or discursively established, but is also performed through its intrinsic material qualities. These are the authentication devices that are read, assessed, and trusted as paper things are circulated, and they are what securely connects paper to infrastructures of mobility. [ABSTRACT FROM AUTHOR]

Research topics vary in their citation potential. In a metric-wise scientific milieu, it would be probable that authors tend to select citation-attractive topics especially when choosing open access (OA) outlets that are more likely to attract citations. Applying a matched-pairs study design, this research aims to examine the role of research topics in the citation advantage of OA papers. Using a comparative citation analysis method, it investigates a sample of papers published in 47 Elsevier article processing charges (APC)-funded journals in different access models including non-open access (NOA), APC, Green and mixed Green-APC. The contents of the papers are analysed using natural language processing techniques at the title and abstract level and served as a basis to match the NOA papers to their peers in the OA models. The publication years and journals are controlled for in order to avoid their impacts on the citation numbers. According to the results, the OA citation advantage that is observed in the whole sample still holds even for the highly similar OA and NOA papers. This implies that the OA citation surplus is not an artefact of the OA and NOA papers' differences in their topics and, therefore, in their citation potential. This leads to the conclusion that OA authors' self-selectivity, if it exists at all, is not responsible for the OA citation advantage, at least as far as selection of topics with probably higher citation potentials is concerned. [ABSTRACT FROM AUTHOR]

Tech mining is the application of text mining tools to science and technology information resources. The ever-increasing volume of scientific outputs is a boom to technological innovation, but it also complicates efforts to obtain useful and concise information for problem solving. This challenge extends to tech mining, where the development of techniques compatible with big data is an urgent issue. This article introduces a semi-supervised method for extracting layered technological information from scientific papers in order to extend the reach of tech mining. Our method starts with several pre-set seed patterns used to extract candidate phrases by matching the dependency tree of each sentence. Then, after a series of judgements, phrases are divided into two categories: 'main technique' and 'tech-component'. (A technique, for the purposes of this study, is a method or tool used in the article being analysed.) In order to generate new patterns for subsequent iterations, a weighted pattern learning method is also adopted. Finally, multiple iterations of the method are applied to extract technological information from each paper. A dataset from the field of optical switcher is used to verify the method's effectiveness. Our findings are that (1) by two loops of extraction process in each iteration, our method realises the layered technological information extraction, which contains the 'part–whole' relationships between main techniques and tech-components; (2) the recall rate for main techniques is superior to the baseline after iterating 23 rounds; (3) when layering is disregarded, in the aspect of the precision and the volume of techniques, the new method is higher than that for the baseline; and (4) adjusting another two parameters can optimise the efficiency – however, the effect is neither pronounced nor straightforward. [ABSTRACT FROM AUTHOR]

This article explores how the Mexican state gathered, archived and destroyed information. It focuses on the US–Mexico campaign against foot-and-mouth disease between 1947 and 1952, whose paper archive Mexican officials burned near the successful conclusion of the campaign. This article argues that several factors shaped the context for this documentary bonfire and made the 1940s a key point of inflection in Mexico's history of official information-gathering: the dominant party's system of elite power-sharing, the growth of a reading public and the regime's drift rightward. At the same time, the nature of the foot-and-mouth disease campaign itself ensured that, despite its possible uses, the archive was particularly sensitive, providing evidence of the embarrassing gaps that began to yawn between the state's language of revolutionary nationalism and its political practise. Indeed, the bonfire represented the culmination of practises Mexican officials had already developed throughout the campaign to reconcile the demands of legibility and deniability, hemispheric integration and nationalism, political stability and state capacity. More broadly, the case illustrates the uneven effects of US assistance on the development of state capacity, the authoritarian but institutionally weak character of the early PRIísta state, and the role of archives in maintaining a coherent image of state sovereignty. [ABSTRACT FROM AUTHOR]

This paper describes the possibility of the use of paper twines as core reinforcement in thermoset pultruded sandwich composites. Paper twines and glass fiber rovings were co-impregnated with polyester resin and co-pultruded to form sandwich rods. Pultruded sandwich rods were up to 26% lighter with regard to typical monolithic glass fiber reinforced polyester rods. The specific flexural strength and Young's modulus of the sandwich rods were up to 25% higher than those of monolithic glass fiber/polyester commercial rods. Thanks to its light weight and its availability as a continuous twine, paper twines may be used with great flexibility in pultrusion of sandwich structures. This may lead to up to 20–30% weight reduction and cost saving without losing flexural performance. [ABSTRACT FROM AUTHOR]

In this paper, a three-dimensional anisotropic multi-surface model for the in-plane elastoplastic deformation of paper and paperboard is developed. The model is based on the concept of structural tensors. It employs three different yield functions and parameterised consistency conditions for three different loading scenarios. The evolution of the yield surface with plastic strain is described by multiple hardening variables. Furthermore, the evolution equations are integrated using the unconditionally stable backward Euler method. Also, the internal variables are updated using a particular form of the elastic predictor/plastic corrector algorithm. The constitutive model is calibrated from a set of simple uniaxial tension tests performed in various directions of the material and is validated against loading in other directions. Additionally, the predictive capability as well as the numerical performance of the constitutive model is accessed against an existing non-quadratic plasticity model. Finally, the applicability of the constitutive model is demonstrated by performing a tensile test on a paperboard with a hole. [ABSTRACT FROM AUTHOR]

In this reply, the aim of the authors is to correct the calculation errors on solar depression angle and azimuth angle as recognized by Dr. Dalin in his critical review. However, these updated and corrected calculations do not affect the possibility for Antonio Colla of having observed the Noctilucent Cloud (NLC) plausible both in the direction and for the duration he described in his observations. In this reply, the authors offer two different interpretations in this regard. [ABSTRACT FROM AUTHOR]

This paper explores the intertwined nature of digital and environmental dimensions within Bourdieu's concept of habitus to address contemporary global challenges. Controversial evidence exists regarding the environmental impact of digitalization, reflecting contrasting theoretical approaches at societal and individual levels. The paper examines how digital practices' environmental impact depends on usage types, with implications for lifestyles and values. It revises the concept of habitus to encapsulate the complex interaction between digital and environmental fields, facilitating users' awareness and behavioral responses. [ABSTRACT FROM AUTHOR]

This paper reports on an ethnographic study that examined smart TV use in low-income migrant households in Australia. We find that the smart TV is used by migrant families for diverse forms of social and cultural participation. In addition, we find that YouTube – which is often accessed using the smart TV – is reshaping family media practices. We argue that while digital inclusion scholarship has focussed on access to and use of mobile phones, laptops and computers, the smart TV, perhaps more than any other device in the home, enables digital inclusion through intergenerational media engagement. This paper presents insights for policymakers and offers a new area for investigation for digital inclusion and media scholars. [ABSTRACT FROM AUTHOR]

This paper contributes to the literature on racism denial through an analysis of the political discourse in defense of 2010's Arizona Revised Statute 15-112 (ARS § 15-112), which can be considered a key antecedent to political moral panics centered on the presentation of history and identity in US schools. ARS § 15-112 was designed with the expressed intent of terminating Mexican American Studies education, and eventually all ethnic studies, in Arizona public and charter K-12 schools. This paper considers the discursive maneuvering used by political actors to simultaneously justify this legislation and dodge accusations of racial animus, both prior to the legislation's signing and in the years following. It further analyzes the political discourse that allows for racism denial in certain spheres, including the legal realm, despite politically benefiting from the use of the Latino Threat Narrative. This paper discusses four primary forms of racism denial pervasive in this political discourse: 1) Absence discourse; 2) Framing racism around 'extremes'; 3) Positive self-presentation; 4) Helping discourse. In addition to exploring how all four forms of denial are used in this case, the paper teases out helping discourse from positive selfpresentation, showing how the former focuses on reframing the actor while the latter reframes the action. Importantly, anti-MAS political actors and members of their shielding institutions attempted to frame racism and racial animus as inherently individual rather than systemic in every form of denial discussed. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of homeowners' condominium self-governance on neighbourhood governance in urban China. The self-governance campaign, which advocates for the direct employment of property management personnel, signifies condominium owners' endeavours to reassert control over their private living space against the intervention of the state and the exploitation of property management agents. Whilst self-governance is practised within specific walled neighbourhoods, homeowners' efforts to amplify the influence of this campaign have brought it beyond the mere selection of a property management model. Employing the strategic action field approach, this paper identifies the key actors and specific forces that shape China's condominium and neighbourhood governance. It also explores the potential political risks associated with the self-governance campaign and how it changes the power dynamics within the neighbourhood governance structure. The research findings not only illustrate the versatility of the strategic action field approach in analysing the various aspects of condominiums and private neighbourhood governance in urban China but also extend current understanding of the interplay among homeowners' organisations, market agents and state actors and reveal relevant implications for neighbourhood governance in urban China. [ABSTRACT FROM AUTHOR]

This paper explores Toronto's urban PATH, a 30 km network of underground pedestrian tunnels and elevated walkways that connect shopping areas, residential towers, mass transit and downtown destinations. Both as a case and heuristic, this paper situates Toronto's PATH as an assemblage of private urban governance forms, exploring emergent and evolving constellations of power and responsibility for governing city space that defy easy distinctions of 'public' or 'private'. As an urban assemblage, the PATH comprises potential and actual entities and associations, and is an accumulation of encounters. Never a stable or static entity, the PATH and its governance, we argue, is provisional, revealing constantly evolving connections, alignments and political-economic potentialities. We contend the PATH serves as a palimpsest of mutating governing relations; a multiplicity of meanings, visions and encounters etched into the built environment. By focusing on public and private vestiges, wayfinding, and visibility, and private verticalising ventures, we highlight how practices, logics, processes, urban actors and their histories collide to form fragile, provisional urban alignments and visions. [ABSTRACT FROM AUTHOR]

Inheritance is both an unsettled and structuring concept of contemporary life. This paper argues that inheritance is an analytic through which difference comes to matter. Following Casarino's (2002) discussion of 'last' and 'other' limits, I show that inheritance both serves as a mechanism through which difference is captured and domesticated into systems of technoscience and law, and that it evidences the inability of these systems to capture fully its alterity. Taking a wide-ranging and interdisciplinary approach, the paper develops an analytic that explores and expands biosocial understandings of inheritance through two 'limit cases': first, the search for and reclamation of inheritance dispossessed in the Transatlantic trade in enslaved people; second, questions of queer reproduction and inheritance. The paper concludes by offering an analytic of inheritance not simply as a force of difference but also as a way of orienting political and ethical thought in the Anthropocene. [ABSTRACT FROM AUTHOR]

The deconstruction of celebrity persona reflects public concerns within rapidly changing societies. Bringing perspectives from de-legitimation and anti-fandom, this paper investigates how Wanwan, a controversial Chinese Internet celebrity (wanghong), was de-celebrified as a bragger, sugar baby, and two-faced traitor by her anti-fans. Anti-fans condemned Wanwan for her self-glorification, sex trading for material goods, and immorality as an elite. Despite demonstrating anti-fan efforts to seek representative justice online, their discourses are problematic for bolstering classist, neoliberal feminist, populist, and moral perfectionist ideologies. A more serious concern pertains to the politicization of personal animosity through de-celebrification, wherein anti-fans try to exploit state power to cancel the celebrities they dislike. In addition to validating a discursive approach that fleshes out (de-)celebrification studies, this paper refines our understanding of the politics of dislike by unraveling the complex socio-political dynamics behind anti-fandom and de-celebrification. [ABSTRACT FROM AUTHOR]

Extended periods of driving, lasting up to 8 hours, can have a severe impact on a driver's health due to the presence of low-frequency vibrations caused by uneven road surfaces. This paper presents a novel biodynamic system modelling method for investigating how the human body responds to low-frequency vibrations. The lumped biodynamic parameter model predicts time-domain head acceleration and frequency-domain transmissibility ratio. This paper's design innovation involves a three-dimensional printed cushion composed of honeycomb cells and a seating suspension system featuring six double-diamond isolators. Using the Design of Experiments, Response Surface Method, and Genetic Algorithm methods, the structural parameters of the seating suspension system and cushion in the model are optimized for the minimum peak transmissibility ratio. The uniqueness of this paper's approach lies in its sensitivity analysis and optimization of the seat cushion and seating suspension system design parameters within a quarter-vehicle suspension system environment, which sets it apart from other literature. Furthermore, this paper explores the connection between the negative Poisson's ratio and quasi-zero stiffness as a means of reducing vibration transmission. [ABSTRACT FROM AUTHOR]

Tech media giants are no strangers to controversy in relation to the payment of corporate tax, such as the cases of Apple and Facebook (Meta) in Ireland, Alphabet (Google) in the UK and Amazon in Luxembourg. While the tech media giants are not the only global corporations that take advantage of international tax avoidance opportunities, this paper argues that their hypermobility and unprecedented cash assets place them especially well to take advantage of these practices. Moreover, the nature of some of the commodities, such as information, software or intellectual property that can be moved at the touch of a button; or even a simple re-conception of where the property resides can mean a state gaining or losing billions of dollars. This paper will explore how tech media giants are redefining property and commodity forms and how this allows for creative tax policies. Moreover, the conception of where immaterial commodities, such as pure information, is located (or not located) challenges tax collection strategies for the state. To explore these conceptions, this paper discusses the ideology surrounding the tech media industry, a particular brand of liberalism coined the 'Californian Ideology': An ideology that can sometimes be described as transgressive, but also one that may legitimise tax avoidance. The ideology gives a somewhat nebulous definition of what property is (and isn't) and its location or non-location, thereby negating justification for taxation. [ABSTRACT FROM AUTHOR]

The paper discusses how personal data is a crucial resource in the digital age. It explores the complex nature of the economic valorisation of personal data. Recent discussions have focused on the commodification and profit generation from personal data and its role as an asset and a source of rent. Property rights play a significant but contradictory role in each of these cases. From a technical standpoint, personal data does not fall under traditional ownership rights protected by intellectual property laws. It is neither an artistic work covered by copyright nor an outcome of financial investment that could be protected by patents. Instead, the paper focuses on the role of personal data in the capitalist mode of production and digital monopoly conditions. It aims to analyse the successive transformations of everyday activities into machine-readable objects, de facto property, assets, and elements of monopoly capital. [ABSTRACT FROM AUTHOR]

The co-opinionatedness measure, that is, the similarity of cociting documents in their opinions about their cocited articles, has been recently proposed. The present study uses a wider range of baselines and benchmarks to investigate the measure's effectiveness in retrieval ranking that was previously confirmed in a pilot study. A test collection was built including 30 seed documents and their 4702 cocited articles. Their citances and full-texts were analysed using natural language processing (NLP) and opinion mining techniques. Cocitation values, syntactical similarity and contexts similarity were used as baselines. The distributional semantic similarity and the linear and hierarchical Medical Subject Headings (MeSH) similarities served as benchmarks to evaluate the effect of the co-opinionatedness as a boosting factor on the performance of the baselines. The improvements in the rankings were measured by normalised discounted cumulative gain (nDCG). According to the findings, there existed significant differences between the nDCG mean values obtained before and after weighting the baselines by the co-opinionatedness measures. The results of the generalisability study corroborated the reliability and generalisability of the systems. Accordingly, the similarity in the opinions of the cociting papers towards their cocited articles can explain the cocitation relation in the scientific papers network and can be effectively utilised for improving the results of the cocitation-based retrieval systems. [ABSTRACT FROM AUTHOR]

Three decades of interdisciplinary research within the Sagalassos Archaeological Research Project has provided extensive archaeological, environmental and geoarchaeological datasets. This paper seeks to bring together these datasets to explore diachronic socio-ecological dynamics within the Sagalassos Study Area, SW Türkiye. For this, we will use the Adaptive Cycles and Resilience Theory framework to explore socio-cultural development during changing climatic and environmental conditions. The paper aims to serve as an in-depth case study of these frameworks, integrating archaeological and environmental data, which – despite the increasing popularity of resilience theory – remains underdeveloped within the field of archaeology, especially within Mediterranean and Anatolian archaeology. We will explore the utility of the adaptive cycle framework for reconstructing diachronic human-environment interactions through changing settlement patterns documented during surveys conducted by the Sagalassos Project. Critical phases within the settlement record can be identified during the last 8000 years including apparent periods of 'rupture' during the Middle Chalcolithic, Middle-Late Bronze Age, Hellenistic and Middle-Byzantine periods; representing times of serious upheaval in 'normal' cultural traditions and lifeways. The adaptive cycle framework will help distinguish between the effects of environmental changes and social dynamics, as well as their potential interrelations in causing long-term social transformation in the Sagalassos Study Area. [ABSTRACT FROM AUTHOR]

This paper presents a small size and high-integration inductive displacement sensor used for magnetic bearings. This sensor is a circular ring structure fixed on radial direction of a magnetic bearing and can measure radial and axial displacement at the same time. Sensitivity results show that displacement detection along each direction will not be affected by others. Then, the proposed sensor is applied in closed-loop control of a magnetic bearing when the rotor is levitated and rotates at 40k, 50k, and 60k r/min. According to experiment results, radial and axial displacement vibrate noise can be controlled within ±10 μm and about ±10 μm, respectively, evaluating the feasibility of inductive displacement sensor in closed-loop control. Contribution of this paper is to explore application boundary and provide a guide of applicable speed for inductive displacement sensor, which will help to promote application of magnetic bearing in more fields. And based on the experiment results present in this paper, inductance sensor can be used for magnetic bearing control when the rotation speed is below 60k r/min. [ABSTRACT FROM AUTHOR]

Depression is a severe neurological disorder characterized by a loss of interest and may lead to suicide. Electroencephalography (EEG) measurement is a non-invasive tool for neural electrical activities measurement which can be further used for different neurological disorder detection such as depression. The number of EEG electrodes used for measurement directly affects the instrumentation and measurement complexity of the experiment. This paper proposes a fisher score–based method for electrode ranking. This paper selects only those electrodes whose fisher score is greater than the mean of fisher scores of all electrodes. It results in a reduced set of electrodes. A deep learning–based model has been proposed which uses the reduced set of electrodes for depression detection. The performance of the proposed model is evaluated on two benchmark data sets having varying numbers of electrodes. The proposed model significantly reduces the number of electrodes to 68.42% and 60.93% for data sets 1 and 2, respectively. The accuracy of 98.73%, precision of 98.50%, recall of 98.75%, F1 score of 98.62% and AUC of 99.91% are obtained for data set 1 and accuracy of 95.48%, precision of 91.93%, recall of 96.11%, F1 score of 93.97% and AUC of 99.49% are obtained for data set 2. [ABSTRACT FROM AUTHOR]

It is difficult to obtain the damage information on large slewing bearings only from vibration signals. In addition, deep learning models trained on old samples do not achieve high accuracy in new tasks. Therefore, this paper uses vibration, temperature, and torque signals of slewing bearings to build a model. Meanwhile, we add attention mechanism to capture internal correlation of them to consider the related factors of remaining useful life (RUL) from multiple angles. The multivariable gated recurrent unit (GRU) based on attention mechanism gated recurrent unit (attention-MGRU) model is adopted to improve the prediction performance. On this foundation, a fine-tuning strategy is introduced to improve the generalization ability of the model. A full-life accelerated test is carried out on the slewing bearing test bench. The model proposed in this paper is compared with GRU prediction model, which utilizes vibration signals and multivariable GRU prediction model. Mean absolute error (MAE) and root-mean-square error (RMSE) are used as measurement indicators. Among different methods, three indicators generated by attention-MGRU show significant superiority. Moreover, the fine-tuned model performs better in new tasks compared with the original model. [ABSTRACT FROM AUTHOR]

As an important branch of machine learning, deep learning (DL) models with multiple hidden layer structures have the ability to extract highly representative features from the input. At present, fault detection and diagnosis (FDD) and health monitoring solutions developed based on DL models have received extensive attention in academia and industry along with the rapid improvement of computing power. Therefore, this paper focuses on a comprehensive review of DL model–based FDD and health monitoring schemes in view of common problems of industrial systems. First, brief theoretical backgrounds of basic DL models are introduced. Then, related publications are discussed about the development of DL and graphical models in the industrial context. Afterwards, public data sets are summarized, which are associated with several research papers. More importantly, suggestions on DL model–based diagnosis and health monitoring solutions and future developments are given. Our work will have a positive impact on the selection and design of FDD solutions based on DL and graphical models in the future. [ABSTRACT FROM AUTHOR]

The impact of large passenger flow during peak hours causes serious congestion in subway stations, and passenger flow bottlenecks appear in many places, which affects travel efficiency and safety. How to eliminate the bottlenecks is an urgent problem to be solved. In this paper, we first analyze the causes and regions of bottlenecks, and we propose three decongestion solutions: (a) moving the security check machines from the station hall to the entrance channel; (b) adding isolation belts in front of the area of escalators; and (c) separating opposite passengers flow by using isolation belts. We conduct a case study on Guomao Station, Beijing, China to verify the effectiveness of the solutions. Specifically, we establish a microscopic model to simulate the passenger flow in a subway station, and the simulation results show that decongestion solutions can reduce the queueing length of security bottleneck by more than 30%, while decreasing the passenger density in non-paying areas of the station hall by more than 50%. The decongestion solutions proposed in this paper can eliminate the bottlenecks in subway stations effectively and practicably. [ABSTRACT FROM AUTHOR]

In queueing systems where queues are invisible, it is critical for companies to make decisions about the timing of announcing the anticipated delay to customers. In this paper, a simulation model is built to simulate an invisible queueing system, and several queueing scenarios are considered, including different system congestion and different company goals, to explore the impact of different announcement timings. In the modeling of customer behavior, we argue that it is difficult for companies to announce perfectly accurate delay and rarely have customers fully trust the announcement, so the quantal-response model is included to model customers' probabilistic choice behavior due to the bounded rationality. Meanwhile, we consider customer heterogeneity, assign customers different initial patience and, as an extension, also assume that patience will be updated. We perform simulation experiments and analyze the experimental data to dissect the underlying reasons, and then give sound management suggestions. The experiments show that the optimal announcement timing is different for different scenarios, which shows that in practical decisions, companies should adopt different announcement strategies for different scenarios. What's more, in some scenarios, delayed announcement at specific time is better than on-arrival announcement, which suggests that when we judge the value of announcement, we should add the definite word of specific timing to the announcement. The breakthrough point of this paper is to consider customers' bounded rationality and the dynamic patience; meanwhile, it fills the gap of announcement timing research and explores the value of additional announcements after the initial announcement. [ABSTRACT FROM AUTHOR]

This paper aims to propose a real-time detection method of wheel-rail conditions in a monorail vehicle-track nonlinear system based on vehicle vibration signals. Monorail rubber tires exhibit strong nonlinearity and three-dimensional elasticity, resulting in highly coupled vertical and lateral vibrations. As a result, traditional methods applied in railway system such as transfer function analysis are not suitable for back-calculation of road irregularities for this nonlinear system. Iterative simulation with numerous parameters is time-consuming, thus this paper proposes a parallel simulation approach fused with the genetic algorithm to shorten the calculation time and facilitate big data processing. The multi-rigid body model's simulation result can closely match the test data by intelligently modifying the vehicle parameters. This method overcomes the transfer function's limitations in nonlinear systems and the significant errors introduced by the simplified mathematical derivation method. It also overcomes the shortcoming of significant errors in the mathematical derivation method and disperses errors caused by simplifying the multi-rigid body dynamics and ensures calculation accuracy. Additionally, this paper highlights the application of artificial intelligence techniques in intelligent wheel eccentricity detection. It improves the traditional algorithm to shorten the calculation time and benefit big data processing. [ABSTRACT FROM AUTHOR]

This paper developed a finite element method for the time-varying length rope-driven system under the Eulerian description since the transient responses of the time-varying length rope-driven system induced by boundary displacement excitation cannot be considered accurately in the prior work. The displacement excitation can be considered directly by substituting the boundary conditions after preprocessing that matches the subsequent time discrete method—Newmark-Beta method in this paper—into the numerical calculation. Meanwhile, the treatment of the mixed boundary conditions with a concentrated mass is introduced under the Eulerian description. The proposed method is validated by a basic model with an analytical solution and compared with the Galerkin method and by a sophisticated model derived from an actual elevator from the perspectives of complex mode analysis and linear-nonlinear time domain calculation, respectively. The results show that the proposed method can effectively deal with complex boundary conditions and accurately capture the transient wave response caused by displacement boundary excitation. Compared with the Galerkin method, whose accuracy depends on the forms and orders of the selected trial functions, the proposed method has better adaptability and accuracy in dynamical analysis of a time-varying length rope-driven system. [ABSTRACT FROM AUTHOR]

Set in the context of current calls for the decolonization of universities, curricula, and academic disciplines, this essay first outlines what this might mean in the discipline of New Testament studies, highlighting both the formation of the discipline within a particular western European context and the need to move beyond the disciplinary practices shaped by this history. It then introduces the papers collected in this special issue, not by summarizing each paper individually (the abstracts of each provide this summary) but by identifying certain themes and issues that emerge from the collection. Both the contextualized character of these various studies and their modes of ethical, political, and theological engagement raise challenges for the discipline as a whole. [ABSTRACT FROM AUTHOR]

This paper addresses the problem of decentralized, collaborative state estimation in robotic teams. In particular, this paper considers problems where individual robots estimate similar physical quantities, such as each other's position relative to themselves. The use of pseudomeasurements is introduced as a means of modeling such relationships between robots' state estimates and is shown to be a tractable way to approach the decentralized state estimation problem. Moreover, this formulation easily leads to a general-purpose observability test that simultaneously accounts for measurements that robots collect from their own sensors, as well as the communication structure within the team. Finally, input preintegration is proposed as a communication-efficient way of sharing odometry information between robots, and the entire theory is appropriate for both vector-space and Lie-group state definitions. To overcome the need for communicating preintegrated covariance information, a deep autoencoder is proposed that reconstructs the covariance information from the inputs, hence further reducing the communication requirements. The proposed framework is evaluated on three different simulated problems, and one experiment involving three quadcopters. [ABSTRACT FROM AUTHOR]

3D spatial perception is the problem of building and maintaining an actionable and persistent representation of the environment in real-time using sensor data and prior knowledge. Despite the fast-paced progress in robot perception, most existing methods either build purely geometric maps (as in traditional SLAM) or "flat" metric-semantic maps that do not scale to large environments or large dictionaries of semantic labels. The first part of this paper is concerned with representations: we show that scalable representations for spatial perception need to be hierarchical in nature. Hierarchical representations are efficient to store, and lead to layered graphs with small treewidth, which enable provably efficient inference. We then introduce an example of hierarchical representation for indoor environments, namely a 3D scene graph, and discuss its structure and properties. The second part of the paper focuses on algorithms to incrementally construct a 3D scene graph as the robot explores the environment. Our algorithms combine 3D geometry (e.g., to cluster the free space into a graph of places), topology (to cluster the places into rooms), and geometric deep learning (e.g., to classify the type of rooms the robot is moving across). The third part of the paper focuses on algorithms to maintain and correct 3D scene graphs during long-term operation. We propose hierarchical descriptors for loop closure detection and describe how to correct a scene graph in response to loop closures, by solving a 3D scene graph optimization problem. We conclude the paper by combining the proposed perception algorithms into Hydra, a real-time spatial perception system that builds a 3D scene graph from visual-inertial data in real-time. We showcase Hydra's performance in photo-realistic simulations and real data collected by a Clearpath Jackal robots and a Unitree A1 robot. We release an open-source implementation of Hydra at https://github.com/MIT-SPARK/Hydra. [ABSTRACT FROM AUTHOR]

Night-time economies have traditionally clustered in city centres and nightlife districts. Yet, due to regulation, urban regeneration and gentrification, nightlife activities and spaces, including nightclubs and club nights, are increasingly located across cities. However, the significance and spatial dynamics of this diffusion and the relationships between different nocturnal spaces and scales remain poorly understood. This paper examines the intra-urban dispersal of nightclubs in Amsterdam and the ways in which nightclub promoters attune their curatorial practices to urban processes through genre-based commercial and cultural imperatives. Drawing on interviews with 36 nightclub promoters, 111 hours of participant observation at clubs and document-based analysis, it demonstrates how these reflexive actors respond and contribute to intra-urban dispersal by (1) spatialising music genres, (2) staging affective atmospheres at different scales and (3) spatialising audiences. The paper contributes to studies which focus on nocturnal spaces, actors and activities and the evolving urban geography within cities. [ABSTRACT FROM AUTHOR]

Over the last decade, urban philanthropic giving has acquired an increased significance for cities, shaping urban agendas and affecting local decision-making. Contributing to the emerging geographical literature on the impact of philanthropy on urban governance as well as to scholarship on post-foundational geographies, I argue that urban philanthropic giving is related to a post-political regime of multi-stakeholder urban governance. Contrary to being a linear process of managerial consensus politics, the post-politicisation of urban governance emerges as a multidimensional and variegated process of mutations and adaptations. Drawing from Athens, Greece, in the austerity period, I trace the emergence of a new donor-based philanthrocapitalist regime of urban governance and I demonstrate that post-political governance can take diverse forms: from the well-described in existing literature inclusive partnership-based approach to more authoritarian consensus-based governance processes. The aim of the paper is not just to answer if philanthrocapitalism gives rise to a post-political condition or not, but to explore how it is making and remaking (post-political) urban governance of public spaces, urban politics and urban everyday life. In doing so, the paper focuses on Athens Partnership, an intermediate governance organisation that was established to manage and support donations from the private sector to local governments in Athens and explores the ways urban philanthropy impacts on urban governance. Overall, the paper brings forward a renewed, more enmeshed understanding of post-political urban governance through an analysis of the novel philanthrocapitalist regime that emerged in European cities in the context of the recent intersecting crises. [ABSTRACT FROM AUTHOR]

This paper argues that understanding the power of TikTok's visual discourse is a crucial part of conceptualising the character, inspiration, and ambition of Iran's Gen-Z-led uprising, both at home and across the diaspora. TikTok is a social media platform that depends on visuality. As such, it creates its own specific forms of messaging. This paper seeks to apply an innovative methodology of 'Visual Discourse Tracing' to the Iranian protests. It uses this carefully devised, process-driven method, to highlight the core ways in which TikTok has amplified the message of the Iranian protests, connecting to the grassroots movement and to the longer history of Iranian women's struggle for freedom. Visuality and social media have been crucial in shaping the character of these contemporary protests, necessitating proper theorisation when understanding the wider Iranian protest movement. [ABSTRACT FROM AUTHOR]

This paper offers a counter-map of automation in social services decision-making in Australia. It aims to amplify alternative discourses that are often obscured by power inequalities and disadvantage. Redden (2005) has used counter-mapping to frame an analysis of big data in government in Canada, contrasting with 'dominant outward facing government discourses about big data applications' to focus on how data practices are both socially shaped and shaping. This paper reports on a counter-mapping project undertaken in Australia using a mixed methods approach incorporating document analysis, interviews and web scraping to amplify divergent discourses about automated decision-making. It demonstrates that when the focus of analysis moves beyond dominant discourses of neoliberal efficiency, cost cutting, accuracy and industriousness, alternative discourses of service users' experiences of automated decision-making as oppressive, harmful, punitive and inhuman(e) can be located. [ABSTRACT FROM AUTHOR]