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"Decolonizing Geography: An Introduction" by Sarah A. Radcliffe explores the decolonization of Anglophone geographical curricula. The book emphasizes the importance of approaching fieldwork with humility, respecting local knowledge, and avoiding the imposition of Western paradigms. It calls for action to avoid blinders, respect counternarratives, question official histories, acknowledge privilege, employ collaborative research, and entertain alternative epistemologies. The book also highlights the significance of indigenous environmental knowledge in physical geography and addresses the lack of diversity in the discipline. Overall, "Decolonizing Geography" offers a comprehensive exploration of decolonial approaches in geography and provides practical examples and suggestions for further research. [Extracted from the article]

"Settler Colonial City: Racism and Inequity in Postwar Minneapolis" by David Hugill examines the history of racism, inequity, and settler-colonial structures in Minneapolis, particularly focusing on the post-World War II era. The book explores the impact of urban change, racialized policing, and American imperialism on marginalized communities, with a particular emphasis on Indigenous peoples. Hugill highlights the structural barriers faced by marginalized groups and the need to dismantle white supremacist and settler-colonial structures. While the book primarily focuses on the violent aspects of settler-colonial urban policy, it also touches on the need to examine more subtle elements such as access to education, healthcare, and legal services. Overall, the book provides a critical perspective on the history of Minneapolis and challenges the perception of the city as progressive and inclusive. [Extracted from the article]

"Big Bend National Park: Mexico, the United States, and a Borderland Ecosystem" by Michael Welsh is a historical exploration of Big Bend National Park, situated on the border between Mexico and the United States. The book examines the unique landscape of the park, shaped by the Rio Grande river, and the challenges posed by its borderland ecosystem. Welsh discusses the efforts of conservationists, politicians, and scientists in establishing the park and highlights the potential for binational cooperation and collaboration. The book also addresses the tensions between preservation and development in national parks and the need to navigate the changing cultural and political landscape. While the book lacks an examination of the park's future in the face of climate change and public policy, it offers valuable insights for students and scholars interested in national identity, border relations, and environmental protectionism. [Extracted from the article]

"Near Woods: A Year in an Allegheny Forest" by Kevin Patrick is a book that explores the natural and cultural phenomena of White's Woods, a 500-acre stand of mixed hardwood forest near Indiana, Pennsylvania. The author, who has lived in the area for three decades, highlights the beauty and richness of this local sylvan gem, emphasizing the importance of appreciating and exploring the forests in our own backyards. The book combines geomorphological, natural historical, and physical and cultural geographic background to provide a comprehensive understanding of the area. Through vivid prose and stunning photography, Patrick invites readers to stop, listen, and interpret the wonders of nature. [Extracted from the article]

"Wayfaring Strangers: The Musical Voyage from Scotland and Ulster to Appalachia" is a book by Fiona Ritchie and Doug Orr that explores the cultural pathways of traditional Scottish and Irish folk music as it traveled to Appalachia. The book examines the influences of Welsh, English, German, Dutch, French, African American, and Cherokee cultures on these songs. It is structured into three main sections and includes photographs, maps, and sidebars covering various topics related to folk music. The authors also exchange letters discussing their perspectives on Old and New World music. The book sheds light on the history of American folk music and its connection to immigrant experiences. It includes a contextual timeline, resource centers, a discography, and a bibliography for further exploration. Scholars and music enthusiasts will find this book to be a valuable resource. [Extracted from the article]

AbstractThis paper studies noisy low-rank matrix completion in the presence of heavy-tailed and possibly asymmetric noise, where we aim to estimate an underlying low-rank matrix given a set of highly incomplete noisy entries. Though the matrix completion problem has attracted much attention in the past decade, there is still lack of theoretical understanding when the observations are contaminated by heavy-tailed noises. Prior theory falls short of explaining the empirical results and is unable to capture the optimal dependence of the estimation error on the noise level. In this paper, we adopt an adaptive Huber loss to accommodate heavy-tailed noise, which is robust against large and possibly asymmetric errors when the parameter in the Huber loss function is carefully designed to balance the Huberization biases and robustness to outliers. Then, we propose an efficient nonconvex algorithm via a balanced low-rank Burer-Monteiro matrix factorization and gradient descent with robust spectral initialization. We prove that under merely a bounded second-moment condition on the error distributions, rather than the sub-Gaussian assumption, the Euclidean errors of the iterates generated by the proposed algorithm decrease geometrically fast until achieving a minimax-optimal statistical estimation error, which has the same order as that in the sub-Gaussian case. The key technique behind this significant advancement is a powerful leave-one-out analysis framework. The theoretical results are corroborated by our numerical studies. [ABSTRACT FROM AUTHOR]

Many researchers are interested in using natural fibres to treat due to recent advancements in polymer characteristics. The mechanical properties of three types of bars are studied in this paper: Cotton Fibre-Reinforced Polymer bars, Cotton/Carbon Fibre-Reinforced Polymer bars, and Cotton/Glass Fibre-Reinforced Polymer bars. The goal of the paper was to create low-cost bars with comparable mechanical performance and corrosion resistance to steel reinforcement. The bars were made using two methods: fibres immersed in polymer and fibres coated with polymer by repeated tension and relaxation of fibres. The second method produced better results in terms of the tensile strength of Cot.CFRP, Cot.GFRP, and Cot.FRP bars, which were 688, 477, and 284 MPa, respectively, and the stress–strain curve revealed brittle behaviour for all bars and modulus of elasticity of 43, 31 and 22 GPa. When sand was put on the bar's surface, the bars demonstrated a good connection with the concrete. It also showed good resistance to moisture, alkaline solutions and acids, as well as heat resistance at temperatures below 200°C. [ABSTRACT FROM AUTHOR]

The high specific stiffness materials are used to design the space payload components. These components should sustain the extreme environmental condition throughout their life cycle without failure. The prerequisites of future space missions need lightweight materials which must be mechanically strong and high thermal and electrically conductive. The Carbon Nanotubes (CNTs) are efficient filler material in composite or metal matrix to enhance greater electrical and thermal conductivity. The quality of the CNT nano composite relies upon several parameters like the types of CNTs, its purity, aspect ratio, amount of loading, alignment, and interfacial adhesion between the nanotube and polymer. The performance of the CNT-CFRP composite depends on the successful execution of the processing technique. This review paper intends to highlight the enhancement of the mechanical, thermal, electrical properties of the composite, and the challenges to achieving it. This review paper helps to optimise the process parameters to fabricate Space Payload Components, required to replace existing high-density Space Qualified Materials. This review paper should help optimize the process parameters to fabricate Space Payload Components, which can be excellent alternatives to the existing high-density Space Qualified Materials without making any compromise on the performance index. [ABSTRACT FROM AUTHOR]

AbstractThe response envelope model provides substantial efficiency gains over the standard multivariate linear regression by identifying the material part of the response to the model and by excluding the immaterial part. In this paper, we propose the enhanced response envelope by incorporating a novel envelope regularization term based on a nonconvex manifold formulation. It is shown that the enhanced response envelope can yield better prediction risk than the original envelope estimator. The enhanced response envelope naturally handles high-dimensional data for which the original response envelope is not serviceable without necessary remedies. In an asymptotic high-dimensional regime where the ratio of the number of predictors over the number of samples converges to a non-zero constant, we characterize the risk function and reveal an interesting double descent phenomenon for the envelope model. A simulation study confirms our main theoretical findings. Simulations and real data applications demonstrate that the enhanced response envelope does have significantly improved prediction performance over the original envelope method, especially when the number of predictors is close to or moderately larger than the number of samples. Proofs and additional simulation results are shown in the supplementary file to this paper. [ABSTRACT FROM AUTHOR]

Italy is famous worldwide for its co-operative sector, and this firm model has proven to be efficacious in redressing many social inequalities over the past two centuries. This paper aims to examine how local communities in diverse regions have adapted this traditional form to the contemporary trend of bottom-up community development processes. Furthermore, the paper compares the Italian initiatives with the international literature on community co-operatives and assesses to which extend similarities and differences are viewable. The qualitative analysis considers 7 co-operatives in various areas of Italy, and analyses result from 15 semi-structured interviews with managers. Findings show the intense work undertaken before the co-operatives' registration, the negotiation of purposes and objectives with external partners, how founder groups have a key role in determining each firm's approach to local development, and how further networks with external subjects are deeply influence the co-operatives' work. [ABSTRACT FROM AUTHOR]

This paper provides a political economy analysis of the bilateral trade relations and patterns of exchange that existed between Iran and Sub-Saharan Africa (SSA) from 1962 to 2021. The paper contributes to the growing literature on Iran–Africa relations by empirically delineating not just the changes, but also the continuities between Iran and its African trading partners before and after the Iranian Revolution. It also adds nuance to the broader scholarship on South–South cooperation by showing the disparity between the rhetoric of South–South solidarity and reciprocity between Iran and SSA, on one side, and their low and fluctuating trade volumes, on the other. These volumes resulted from historical inertia or path dependency and structural factors, including trade complementarities and geopolitical conditions, more than demographic, cultural, or religious realities. They were also shaped by the agency and decision-making of Iranian and African leaders and officials regarding the extent to economically engage with each other. [ABSTRACT FROM AUTHOR]

This paper seeks to understand the socio-political dimension of the political changes in Assam vis-a-vis "regionalism" and its contestations. The Changing contours of regionalism in Assam reflect its distinct character marked by the simultaneous articulation of regional, sub-regional and national identity in a complex socio-ethnic and historical context. The recent political trajectory of Assam bears testimony to the dual challenges facing the forces of regionalism; the presence of sub-regional ethnic identity articulation and the appropriation of regional space and issues by the national parties. Further, the shifting allegiance of ethnic identity-based parties to the national parties is critical to understand the dynamics of regionalism in Assam. Socio-political developments subsequent to the rise of BJP post-2014 provide an interesting landscape to comprehend the complexities inherent in understanding regionalism in contemporary Assam. On a contextual note, the paper also locates the question of regionalism in the ongoing debates of NRC and CAA. [ABSTRACT FROM AUTHOR]

This paper considers what we know about the potential for disinformation in hydrological data when used for the evaluation of hydrological models. This will generally arise from epistemic uncertainties associated with hydrological observations, particularly from nonstationary or extrapolated rating curves for discharges, and poor rainfall and snowmelt information when interpolated over basin areas. Approaches based on information theory are not well suited to consideration of such epistemic uncertainties in model evaluation and an alternative approach based on setting limits of acceptability independent of any model runs is suggested. This allows for both the rejection of all models tried, and for acceptability of models across different model structures and parameter sets. The paper concludes with some suggestions for future research on defining disinformative data for both point and spatial observables, studying model failures, and defining new observations with a view to having the greatest impact on reducing model uncertainties. [ABSTRACT FROM AUTHOR]

This article aims to summarize performance indicators used in telephone triage services research, and make recommendations for the selection of valid indicators to measure the performance of telephone triage. We describe what kind of frameworks, performance indicators, or variables have been used for evaluating telephone triage performance by systematically mapping the telephone triage performance measurement. The objective was to find measures for each Triple Aim dimension. A scoping review method was used following Joanna Briggs Institute guidelines. Using this method, we defined indicators to measure the performance of telephone triage. We used the Triple Aim framework to identify indicators to measure the overall performance of telephone triage. The Triple Aim framework consists of improving the patient experience of care, improving the health of populations, and reducing cost per capita. The scoping review was performed using CINAHL, Medline, EBSCOhost, and PubMed electronic databases. The eligibility criterion was research published in English between 2015 and 2023. The inclusion focused on the use and performance of telephone triage services and system-focused studies. A total of 1098 papers were screened for inclusion, with 57 papers included in our review. We identified 13 performance indicators covering all Triple Aim dimensions: waiting times, access, patient satisfaction, the accuracy of triage decision, severity and urgency of the symptoms, triage response, patient compliance with the advice given, follow-up healthcare service use, and running costs of service. We didn't find any earlier framework covering all Triple Aim dimensions properly. Measuring the performance of telephone triage requires an extensive and comprehensive approach. We presented performance indicators that may be included in the framework for measuring the performance of telephone triage to support overall performance measurements of telephone triage. [ABSTRACT FROM AUTHOR]

Notwithstanding India's public stand professing its respect of the sovereignty principle, the imperatives of competitive international relations have necessitated the use of force against its neighbors, thereby undermining their sovereignty. This use of force has been manifested through conventional wars as well as through the sub-conventional use of force such as surgical strikes. This paper examines how India has sought to toe a fine line between pursuing its national interest through the application of military power while being mindful of the broader normative frameworks influencing state behavior since 1947. In doing so, it engages with the interplay of the material and the ideational. Given the time span of the study, it also seeks to shine light on the elements of continuity and change that mark its application of military power through the prism of the sovereignty principle. Furthermore, the paper also pays attention to the recent surgical strikes, features that mark them as being different from previous such actions performed by India, and what this means for India's understanding of the sovereignty principle. [ABSTRACT FROM AUTHOR]

The suffix "washing" refers to the practice of portraying controversial actions in a positive light by leveraging progressive principles, often used by economic corporations, organizations, political parties, or governments. This paper introduces and develops the term "studentwashing" to define the deliberate effort to present Israeli territorial development as an attractive, youthful, and unique experience. This portrayal aims to engage larger segments of society in the national geopolitical project while normalizing its settler-colonial aspects as a means to ensure its continuation. While the constant development of new territorial settlements is dependent either on the right-wing religious sector or on the "quality-of-life" settlers, studentwashing is reserved for areas that are not ideological enough for the first nor sufficiently attractive to the latter. Analyzing "student villages" in the Negev, this paper depicts a new territorial strategy meant to enhance the state's spatial control over the predominantly Arab periphery inside official Israeli borders. Accordingly, this paper offers a new perspective on Israel's territorial strategies and enhances the general study of geopolitical and geo-economic spatial development. [ABSTRACT FROM AUTHOR]

This paper provides an analysis of the historical trajectory of Turkish geographical practice over the past four decades, situated within the broader socio-political landscape of the country. The transmission of the modern geographical tradition from continental Europe to Turkey during the interwar period established the discipline as a holistic science of the human-environment relationship. Although this understanding started to change after the 1968 events, the 1980 Turkish military coup abruptly disrupted innovative endeavors in the discipline, prompting a resurgence of regionally focused synthesis within geography. This insular approach prevailed for several decades but began to evolve in response to the internationalization trends that emerged in the 2000s, with deliberate steps taken toward fostering innovation. Despite institutional damage resulting from the political developments following the 2016 military coup attempt, the discipline maintained its commitment to innovation. This paper critically examines the divergent responses of Turkish geography and its practitioners to the 1980 military coup and the 2016 coup attempt, highlighting the significant influence of globalization. [ABSTRACT FROM AUTHOR]

\nHighlightsIn order to investigate the micro-mechanisms of adhesive failure at the asphalt-aggregate interface under freeze-thaw cycling, this study presents a novel model for freeze-thaw cycling of asphalt mixtures constructed using molecular dynamics. The model is employed to explore the micro-mechanisms of adhesive failure between asphalt and aggregate surfaces under freeze-thaw cycling conditions. Utilising the four-component model of asphalt, asphalt molecules were constructed, with silicon dioxide and calcium carbonate chosen to represent acidic and alkaline aggregates, respectively. Subsequently, an asphalt-aggregate-water freeze-thaw cycling model was developed. Building upon this foundation, the variations in interface interactions between asphalt and the two types of minerals were analysed under the same freeze-thaw cycling conditions but differing freeze-thaw cycle counts. This analysis was conducted through the examination of Radial Distribution Function (RDF), water molecule coordination numbers, and hydrogen bond quantities at the interfaces between asphalt and the two mineral types. The research findings indicate that acidic aggregates exhibit a greater affinity for water molecules compared to alkaline aggregates. Hydrogen bond interactions exist between aggregates and water molecules, with the hydrogen bond energy being greater than the interactions between asphalt molecules and aggregate surfaces. The cohesive energy decreases with an increasing number of freeze-thaw cycles, leading to a gradual reduction in asphalt viscosity and facilitating the detachment of asphalt from the aggregate surface. Consequently, acidic aggregates tend to absorb water molecules more readily, and water can lower the viscosity of asphalt molecules, ultimately resulting in the macroscopic delamination of asphalt from the aggregate surface. These research outcomes provide valuable theoretical guidance for a deeper exploration of the adhesive failure mechanisms in asphalt-aggregate interactions. This paper proposes a new calculation model for asphalt mixture adhesion failure.The hydrogen bonding between water molecules and aggregates is greater than that between asphalt and aggregates.Freezing and thawing cycles will reduce the cohesive energy density of asphalt and reduce the adhesion between asphalt and aggregate.This paper proposes a new calculation model for asphalt mixture adhesion failure.The hydrogen bonding between water molecules and aggregates is greater than that between asphalt and aggregates.Freezing and thawing cycles will reduce the cohesive energy density of asphalt and reduce the adhesion between asphalt and aggregate. [ABSTRACT FROM AUTHOR]

This paper proposes adding waste plastics to asphalt. Using molecular dynamics to study the properties of modified asphalt after adding polyethylene (PE), and clarify its application direction according to its microscopic characteristics, in order to achieve the goals of resource recycling, environmental protection, improvement of asphalt performance and cost reduction. First, construct the molecular model of asphalt according to the four components of the asphalt molecule; construct the molecular model of PE according to the molecular formula of polyethylene; Secondly, by calculating the solubility parameters and interaction energy of asphalt and PE, the compatibility is judged. Finally, the results of the micromechanical simulations of the original and modified asphalt were compared with the test results of the rheological properties of the asphalt. The research results show that the compatibility between PE and asphalt is the best at 175°C, indicating that this temperature is the best modification temperature of asphalt; the addition of PE increases the order of asphalt molecules, and increases the mechanical modulus of asphalt and high temperature rheological properties. The combination of micro simulation and macro test makes the content of this paper more complete and provides theoretical value for the application of waste PE modified asphalt pavement. [ABSTRACT FROM AUTHOR]

Generally, Cryptococcus initially infects the respiratory tract, but can spread, eventually crossing the blood-brain barrier (BBB) and causing meningitis or meningoencephalitis. Specifically, Cryptococcus invades the vascular endothelial cells of the BBB, from which it enters the brain. The main mechanisms through which Cryptococcus crosses the BBB are transcellular traversal, the paracellular pathway, and via Trojan horse. In this paper, the mechanisms by which Cryptococcus crosses the BBB were explained in detail. In addition to pathways of entry to the brain, this paper presents a discussion on some rare cryptococcal infections and provides some insights for future research directions. [ABSTRACT FROM AUTHOR]

This paper presents a thermal error model for a lathe CNC machine using temperature on moving parts, which is usually a difficult measurement. Different working conditions are performed to obtain temperature and thermal displacement of the machine. A multi-linear regression model is applied for modelling relationship between temperatures and thermal errors. Data of two constant working conditions are implemented to find out the fitting function. Through analysis, it shows that thermal errors for X- and Z-axes can be estimated based on only four temperature points (T2, T3, T10 and T12 for the X-axis and T4, T6, T7 and T11 for the Z-axis). Results reveal that using movable part temperature data (T12), the average and maximum error in the predicted thermal displacement of the X-axis can be reduced about 1/3 and 2/5 compared to without using T12, while the movable temperature point on Z-Screw (T8) has a tiny effect on the average and maximum error of predicted thermal displacement of the Z-axis. Results herein can provide useful information to develop a thermal compensation for the CNC lathe machine. [ABSTRACT FROM AUTHOR]

In this work, we formulate a regionalization framework for rainfall intensity–time scale–return period relationships which is applied over the Greek territory. The methodology for single-site estimation is based on a stochastic framework for multi-scale modelling of rainfall intensity which is outlined in the companion paper. Five parameters are first fitted independently for each site and the resulting parameter variability is assessed. Following a systematic investigation of uncertainty and variability patterns, two parameters, i.e. the tail-index and a time scale parameter, are identified as constant in space and estimated using data pooling techniques. The other three parameters are regionalized over Greece by means of spatial interpolation and smoothing techniques that are assessed through cross-validation in a multi-model framework. The regionalization scheme is implemented in a sequential order that allows exploiting rainfall information both from rainfall stations with sub-daily resolution and from the more reliable network of daily raingauges. [ABSTRACT FROM AUTHOR]

This work presents a stochastic framework for the construction of rainfall intensity–time scale–return period relationships, which was applied in the recent regionalization of design rainfall curves over the Greek territory, described in a companion paper. The methodology outlined herein builds upon a widely-used mathematical framework, which has been recently revisited and upgraded, and incorporates two different versions: (a) a theoretically consistent stochastic model applicable for rainfall intensity over any scale of interest; and (b) a simplified version valid over small scales, which makes parameter estimation easier. Special attention is given to the presentation of the simplified version, which suffices for most engineering tasks. Parameter estimation approaches are presented in detail, including the K-moments framework that allows for reliable high-order moment estimation and handling of bias due to spatiotemporal dependence. [ABSTRACT FROM AUTHOR]

Thunderstorm downbursts can impose critical wind loads on long-span transmission line structural system. Existing research has predominantly focused on stationary downbursts, with limited attention given to the analysis of travelling downbursts influenced by environmental wind and parent cloud motion. This paper utilizes the impinging jet method to simulate a travelling downburst at a small Reynolds number, employing the Delayed Detached Eddy Simulation turbulence model for solving the wall-bounded turbulent flow. The radial wind speed distribution of the travelling downburst is subsequently validated against previous experimental, numerical, and observational data. A comparative study is then conducted to discern the differences in the radial wind speed distribution between stationary and travelling downbursts. Finally, a parametric study investigates the influence of jet inlet speed, environmental wind and parent cloud motion on the maximum radial wind speed distribution of the travelling downburst. The findings reveal a significant disparity in the radial wind speed distribution between stationary and travelling downbursts. Notably, parent cloud motion, environmental wind, or their combined effects can alter the height providing the maximum radial wind speed. This variation has implications for the wind load distribution of travelling downburst across the conductor span of the transmission line structural system. [ABSTRACT FROM AUTHOR]

This paper investigates the flexural behaviour of hybrid reinforced concrete (RC) beams having aramid fibre reinforced concrete (AFRC) in the tension zone and high-strength concrete (HSC) in the compression zone. In two series of experimental investigations, the depth of AFRC layer and the concrete strength in the compression zone were varied. The hybrid beams were tested in series 1 to explore the effects of the depth of AFRC layer on load-carrying capacity and flexural toughness. The effects of compressive strength of the concrete in the top half of the hybrid beams on load-deflection behaviour, failure mode and cracking pattern were studied in series 2. The experimental results reveal that the use of AFRC only in the bottom half of the beam enhanced load-carrying capacity and flexural toughness by 62.44% and 87.66%, respectively, compared to the control specimen with no AFRC. The hybrid beam with AFRC-HSC exhibited 5% higher load-carrying capacities, 45% higher ductility and better cracking behaviour than the conventional RC beam. These enhanced structural performances are beneficial for specific purposes such as structures in marine environment where rebar corrosion is the main concern, or structures under extreme loadings where high ductility is required. [ABSTRACT FROM AUTHOR]

This paper presents an analysis of stress developed in flex-gear (FG) cup with conventional strain wave generating (SWG) cam and split-cam SWG in strain wave gear/harmonic drive (HD), using initial load distribution by tooth pairs as a boundary condition in finite element method (FEM). The initial load distribution by tooth pairs is achieved with the assembly of ring gear (RG) and deformed FG before the application of any external load. A closed-form solution to the analytical method describes the exact initial load distribution by tooth pairs in the presence of secondary contacts. However, with spit-cam SWG the phenomenon of secondary contact is completely eradicated. Therefore, the load is distributed by contacting tooth pairs that lie only in the line of action and the tooth pair that lies along the major axis of split-cam SWG experiences maximum load compared to conventional SWG. The strain developed in FG cup based on the load distribution with both SWG cams obtained from FEM is verified with the experiment. The comparison shows a rise of 44 microns in circumferential strain around the major axis of deformed FG, when RG is assembled. This testifies the presence of initial load, which is distributed among all interfering tooth pairs before applying external load. [ABSTRACT FROM AUTHOR]

The lifting permanent magnet is a new type of magnetic transport device consisting of a mechanical driving mechanism and a permanent magnet system. It can reduce power consumption as opposed to lifting electromagnet. However, the single-drive mechanism could not be used in the inclined condition, and how to calculate the balance working point of the magnetic circuit with several permanent magnet limits its application and development. In this paper, an anti-inclined mechanism with double drive mechanism was designed and implemented. The concentric shafts and the reversing gear were adopted to realise synchronous rotation. For the permanent magnet system, the iteration method for multi-magnets balance working point analysis is proposed and implemented. Based on the prototype experiment, the anti-inclined lifting permanent magnet hoisted a 1 ton weight workpiece successfully at an inclination angle of 30 degrees. And the measurement experiment proved that the iteration method is more precise than the conventional isolated method and is a better preparation for analysing the magnetic force and residual magnetic field strength. [ABSTRACT FROM AUTHOR]

A new generation of advanced composite materials has recently emerged through the use of Carbon Nanotubes (CNTs) as the reinforcing constituent in polymer matrix. In this paper, the dynamic response of polymer sandwich beams with functionally graded face sheets subject to two successive harmonic moving loads has been studied. Three different patterns of CNT's distributions for the face sheets have been investigated: Uniform Distribution (UD), Symmetrically Functionally Graded (SFG) distribution, and Unsymmetrically Functionally Graded (USFG) distribution. A thorough study on the effects of velocity, position, excitation frequency, and the phase angles of loads has been carried out using the Radial Point Interpolation Meshfree (RPIM) method based on the 2D theory of elasticity. The SFG is found to result in the highest stiffness of all three distribution patterns. Increasing the volume fraction of the reinforcement is seen to have resulted in an increase of around 33% in the flexural rigidity of the SFG beam. Also, decreasing the frequency is seen to have suppressed the deflection of the USFG type up to 90%. The current research presents a reliable computational framework to help provide an insight into the design of an optimum sandwich structure subject to a complicated state of loading. [ABSTRACT FROM AUTHOR]

AbstractDespite the fact that most police departments in the U.S. serve jurisdictions with fewer than 10,000 residents, policing practices in small towns are understudied. This is due in part to data limitations and technological barriers that exist in the small-town context. In this paper we focus on one small town police department in New England with a history of misconduct, and develop a comprehensive data science pipeline that addresses the stages from design and collection to reporting. We present the reader with specific tools in the open-source Python ecosystem for replicating this pipeline. Once these data are processed, we perform two statistical analyses in an attempt to better understand the provisions of service by the small-town police department of focus. First, we perform ecological inference to estimate the rate at which residents are placing calls for service. Second, we model wait times using a negative binomal regression model to account for overdispersion in the data. We discuss data and model limitations arising through the pipeline creation and analysis process. [ABSTRACT FROM AUTHOR]

AbstractPersonalized pricing, which involves tailoring prices based on individual characteristics, is commonly used by firms to implement a consumer-specific pricing policy. In this process, buyers can also strategically manipulate their feature data to obtain a lower price, incurring certain manipulation costs. Such strategic behavior can hinder firms from maximizing their profits. In this paper, we study the contextual dynamic pricing problem with strategic buyers. The seller does not observe the buyer’s true feature, but a manipulated feature according to buyers’ strategic behavior. In addition, the seller does not observe the buyers’ valuation of the product, but only a binary response indicating whether a sale happens or not. Recognizing these challenges, we propose a strategic dynamic pricing policy that incorporates the buyers’ strategic behavior into the online learning to maximize the seller’s cumulative revenue. We first prove that existing non-strategic pricing policies that neglect the buyers’ strategic behavior result in a linear Ω(T) regret with T the total time horizon, indicating that these policies are not better than a random pricing policy. We then establish an O(T) regret upper bound of our proposed policy and an Ω(T) regret lower bound for any pricing policy within our problem setting. This underscores the rate optimality of our policy. Importantly, our policy is not a mere amalgamation of existing dynamic pricing policies and strategic behavior handling algorithms. Our policy can also accommodate the scenario when the marginal cost of manipulation is unknown in advance. To account for it, we simultaneously estimate the valuation parameter and the cost parameter in the online pricing policy, which is shown to also achieve an O(T) regret bound. Extensive experiments support our theoretical developments and demonstrate the superior performance of our policy compared to other pricing policies that are unaware of the strategic behaviors. [ABSTRACT FROM AUTHOR]

AbstractThis paper proposes a novel dynamic forecasting method using a new supervised Principal Component Analysis (PCA) when a large number of predictors are available. The new supervised PCA provides an effective way to bridge the gap between predictors and the target variable of interest by scaling and combining the predictors and their lagged values, resulting in an effective dynamic forecasting. Unlike the traditional diffusion-index approach, which does not learn the relationships between the predictors and the target variable before conducting PCA, we first re-scale each predictor according to their significance in forecasting the targeted variable in a dynamic fashion, and a PCA is then applied to a re-scaled and additive panel, which establishes a connection between the predictability of the PCA factors and the target variable. We also propose to use penalized methods such as the LASSO to select the significant factors that have superior predictive power over the others. Theoretically, we show that our estimators are consistent and outperform the traditional methods in prediction under some mild conditions. We conduct extensive simulations to verify that the proposed method produces satisfactory forecasting results and outperforms most of the existing methods using the traditional PCA. An example of predicting U.S. macroeconomic variables using a large number of predictors showcases that our method fares better than most of the existing ones in applications. [ABSTRACT FROM AUTHOR]

Rainfall properties and drop spectra characterization is essential when designing and using rainfall simulators to properly replicate natural rainfall characteristics. This study considered a small-scale rainfall simulator operating under varying nozzle, pressure and rotating disc scenarios. A dynamic rainfall gauge system developed at the Federal University of Lavras was used to quantify the impact velocity of rainfall droplets and kinetic energy, and to conduct radial uniformity analyses. The results showed that the rainfall intensity, impact velocity of droplets, kinetic energy, and uniformity of distribution of rainfall are influenced by effects of the spray nozzle, operating pressure and the rotating disc opening of the rainfall simulator. Lower values of simulated rainfall kinetic energy were observed compared to the empirical natural rainfall kinetic energy at equivalent rainfall intensities. This paper highlights the influence of rainfall simulator design specifications on resultant rainfall spectra and validates simulated rainfall against empirically based natural rainfall characteristics. [ABSTRACT FROM AUTHOR]

AbstractA full parametric and linear specification may be insufficient to capture complicated patterns in studies exploring complex features, such as those investigating age-related changes in brain functional abilities. Alternatively, a partially linear model (PLM) consisting of both parametric and non-parametric elements may have a better fit. This model has been widely applied in economics, environmental science, and biomedical studies. In this paper, we introduce a novel statistical inference framework that equips PLM with high estimation efficiency by effectively synthesizing summary information from external data into the main analysis. Such an integrative scheme is versatile in assimilating various types of reduced models from the external study. The proposed method is shown to be theoretically valid and numerically convenient, and it ensures a high-efficiency gain compared to classic methods in PLM. Our method is further validated using two data applications by evaluating the risk factors of brain imaging measures and blood pressure. [ABSTRACT FROM AUTHOR]

Not counting domestic dwellings, it has been estimated that some tens of thousands of older masonry buildings and structures exist nationally and that many of these are potentially at risk of partial (or worse) collapse from falling or dislodged masonry. This has significant implications for building owners, managers, insurers, the local and national economies, and the urban environment. The problem is caused mainly by the slow deterioration of masonry under atmospheric and other environments and by the corrosion of so-called wall-ties, relatively thin pieces of steel that tie the outer leaf of masonry walls to the inner leaf. The problem is likely to be particularly severe for scenarios such as synoptic windstorms and earthquake events as this causes area-wide damage, and potential wide-spread loss of human life – losses that could be prevented by timely intervention. The present paper deals with the research framework and the methodology being employed in a long-term project to develop tools for cost-effective structural masonry assessment and for risk estimation under structural deterioration conditions. Some early findings with potential immediate practical implications are given. Because the effects of deterioration are long-term, the overall project outcomes will take some years to come to fruition. They will be reported in due course. [ABSTRACT FROM AUTHOR]

Abstract–Regression adjustment is widely used in the analysis of randomized experiments to improve the estimation efficiency of the treatment effect. This paper reexamines a weighted regression adjustment method termed tyranny-of-the-minority (ToM), wherein units in the minority group are given greater weights. We demonstrate that ToM regression adjustment is more robust than Lin (2013)’s regression adjustment with treatment-covariate interactions, even though these two regression adjustment methods are asymptotically equivalent in completely randomized experiments. Moreover, ToM regression adjustment can be easily extended to stratified randomized experiments and completely randomized survey experiments. We obtain the design-based properties of the ToM regression-adjusted average treatment effect estimator under such designs. In particular, we show that the ToM regression-adjusted estimator improves the asymptotic estimation efficiency compared to the unadjusted estimator, even when the regression model is misspecified, and is optimal in the class of linearly adjusted estimators. We also study the asymptotic properties of various heteroscedasticity-robust standard errors and provide recommendations for practitioners. Simulation studies and real data analysis demonstrate ToM regression adjustment’s superiority over existing methods. [ABSTRACT FROM AUTHOR]

Human capital development is considered the primary source of knowledge and skills in the innovation process. Despite this, there is evidence of a lack of technical and managerial knowledge among emerging sugarcane farmers who are beneficiaries of South Africa’s land reform programme, thus, limiting their full potential in terms of innovation and productivity which is detrimental to their competitiveness. This paper employs the Crépon, Duguet, and Mairesse (CDM) approach, correcting for endogeneity problems, to estimate the causal impact of on-the-job training expenditure, used as a proxy for human capital development, on innovation, and innovation on farm productivity. It is based on a case study of 35 emerging sugarcane farmers in the KwaZulu-Natal north coast, South Africa. The results from the CDM model confirm the causal relationships between human capital (on-the-job training) and the innovation behaviour of the farmers, which positively impact the farm’s productivity. This result underscores the relevance of human capital development in boosting innovation and productivity in the agricultural sector. [ABSTRACT FROM AUTHOR]

This paper explores the use of digital footprints data to improve on the limited information available on the size and distribution of the residential housing stock in the United Kingdom over the past two decades. We use a subset of a large dataset consisting of the names and addresses of more than one billion individuals dating back to 1997 (LCRs: Linked Consumer Registers) to calibrate property lifecycle information within an authoritative geolocated address and property dataset. We validate the results of our novel calibration method against official estimates by the UK government covering the same period. We further show that our calibration method, based on individual level data, captures a much larger share of the residential housing stock since 1997 than would have been possible with other available data sources. We argue that these housing stock estimates are fundamental to the development of a comprehensive digital footprints data infrastructure that has the potential to significantly enhance population, migration, and other social statistics in the UK. More generally, this study highlights the benefits of using digital footprints data in refining, calibrating, and extending existing datasets. [ABSTRACT FROM AUTHOR]

In this paper we provide integrative description (morphological and genetic) of the new eutardigrade species Mesobiotus mandalorisp. nov. from central Poland, found during research on the vertical distribution of Tardigrada in the Czerniejewskie Forests. Mesobiotus mandalorisp. nov. belongs to the harmsworthi group, but it differs from the members of this group in some morphometric characters of the bucco-pharyngeal apparatus, claws and/or eggs. Morphologically, Meb. mandalorisp. nov. is most similar to Meb. pseudocoronatus, but it differs from it by a larger bare egg diameter and smaller number of egg processes on egg circumference. Morphometrical data were supported by results of comparative genetic analysis of four molecular markers: 18S rRNA, 28S rRNA, ITS2 and COI. According to COI the new species is most similar to Meb. skorackii with the genetic distance of 21.1%. [ABSTRACT FROM AUTHOR]

The Great Knot is a species from the Scolopacidae family of waders migrating within the East Asian-Australasian Flyway, and studies on this species have contributed greatly to understanding of migration ecophysiology and migration strategies in long-distance migrants. In this paper, we provide the first description of biometric variability and sexual size dimorphism in Great Knots. During the study on the Kamchatka Peninsula, 683 adults and 229 juveniles were measured and sexed molecularly. In adults, the mean measurements of females were larger than in males, except for tarsus length. In juveniles, at the early stage of migration from breeding to wintering grounds, apparently growth was not complete. Sexual dimorphism was small, with only wing length being significantly longer in females than in males. All dimensions of juveniles were smaller than those of adults, especially in bill length. The most sexually dimorphic trait in both adults and juveniles was wing length, and the most effective discriminant function with wing length as a single predictor correctly identified the sex of 76% of birds in both age classes. However, molecular sexing is the method of choice for reliable sexing, especially in juveniles. [ABSTRACT FROM AUTHOR]

Several important papers discussing phoretic dispersal in animals have appeared in recent years, but the nature and evolutionary significance of the phenomenon are still not fully understood. This article reviews the current knowledge of this behaviour in Uropodina mites, which disperse at the deutonymphal stage. We first examine the morphological and behavioural attributes of Uropodina deutonymphs involved in phoretic dispersal. We then provide a systematic review of the animals that carry Uropodina, and examine the carrier-specificity of 30 well-known species. Most species are associated with a single family of carriers, or at most, two families. The available information shows that phoretic deutonymphs of most species do not show any preference for male or female carriers. The spatial pattern of attachment of phoretic deutonymphs varies according to the identity of the carrier insect. The nature of deutonymph infestation depends on the size and morphology of both the mite and its carrier. Successful phoresy also depends on synchronisation of the life cycles of the mite and its carrier, but the temporal dynamics of phoresy remain particularly poorly studied. Phoresy has ecological and evolutionary consequences for both the Uropodina and their carriers. Future research on phoresy will benefit from studies of its evolutionary development, the reasons why beetles appear to be specially favoured as carriers, how phoretic mites affect the insect that carries them, and how the apparent global decline in insect populations is affecting their symbiotic mites. [ABSTRACT FROM AUTHOR]

Ethiopia, marked by diverse geography and rapid land use/land cover (LULC) changes, grapples with formidable water resource management challenges. Understanding the hydrological response to these changes is paramount for sustainability. This review paper provides an overview of studies that investigated the hydrological impacts of LULC changes in Ethiopian basins. The review discusses methodologies, key findings, implications for sustainable land and water resource management, research gaps, and future directions. Emphasizing results from diverse studies that utilized hydrological and geospatial modelling, LULC significantly affects surface runoff, streamflow patterns, and groundwater recharge. The observed consequences are increased surface runoff, modified streamflow timing, and reduced groundwater recharge. The review underscores the urgency for integrated land and water management strategies to alleviate adverse effects. Future research priorities include basin-specific studies, long-term monitoring, integrated modelling, consideration of socio-economic factors, and incorporating climate change scenarios to enhance understanding and guide sustainable water resource management in Ethiopian basins. [ABSTRACT FROM AUTHOR]

Internationally, research comparing education systems across countries and jurisdictions is valuable and can elicit nuanced insights into how particular systems operate. This paper's interest lies in considering the scope and content of research comparing education systems across the four UK nations (England, Northern Ireland, Scotland and Wales). This study sought to determine the coverage of UK cross-national comparative education research ('home international' research) between 2000 and 2022. We chose this time period as 1999 marks the devolution of education policy to each UK nation. We aimed to investigate what educational issues had been discussed in the literature and identify any gaps in the content covered by the research. An exploratory, high-level review of 'home international' education research was conducted, based on the review of abstracts. We searched several research databases using a variety of keyword combinations to identify relevant literature published since 2000. Our search identified 53 studies that met our selection criteria. Using a meta-synthesis approach, we coded the content of each abstract to build a picture of the range and thematic coverage of research involving comparisons between at least two of the four UK nations. The analysis of abstracts identified that, over the last two decades, UK 'home international' research has tended to include comparisons of all four nations, coverage of multiple educational phases and a focus on national education policy reviews. Furthermore, we pinpointed a number of gaps in coverage that might not have been anticipated (e.g. relatively little cross-national research focusing on assessment). This high-level review uncovers the landscape of recent 'home international' research, allowing us to view issues that are driving the cross-national research agenda in the UK and recognise implications relevant to education systems that may resonate with jurisdictions beyond these four UK nations. [ABSTRACT FROM AUTHOR]

This paper systematically investigates the effective parameter on the performance of polydimethylsiloxane/graphene (PDMS@Gr)-based triboelectric nanogenerators (TENGs) as well as their applications. PDMS@Gr films containing 0, 0.05, 0.5, 1, and 1.5 wt.% graphene are synthesized, and their surface characteristics, mechanical behavior, and electrical properties are characterized. Vertical contact-separation mode TENGs are fabricated, and their performance is evaluated. The results demonstrate that the surface roughness and surface charge density are the most critical parameters for the performance of PDMS@Gr-based TENGs compared to the electrical and mechanical properties of the friction layers. The PDMS@Gr-based TENG with 1 wt.% graphene shows the highest power output of 2.6 W/m2 at an optimized working condition (5 Hz and 15 N). It also exhibits stable power output until 15,000 working cycles and displays battery-free applications by powering a light-emitting diode (LED) array, a calculator, a digital watch, and a digital thermometer. [ABSTRACT FROM AUTHOR]

Efficiently querying multiple spatial datasets is a challenging task in geoscience. The majority of spatial processing techniques use minimum bounding box (MBB) to approximate neighbouring spatial objects and and place them adjacent in the spatial index. However, due to the existence of redundant space in MBB of these methods, this problem can significantly reduce the query efficiency. In this paper, we propose a novel two-stage adaptive method of clipping the bounding box in spatial query, called IB-CBB (Intersection Based Clipped Bounding Boxes). The first stage employs a clipped bounding box, which records the redundant spatial spaces within the bounding box of the spatial index by calculating the clip points. As a result, the computational complexity of indexed child nodes in the query process is reduced. The second stage optimizes the above query algorithm by judging the intersection of the query box and the MBB of index node, significantly reducing the query time. Experiments demonstrate that IB-CBB outperforms the baseline method in terms of reducing the computational time. [ABSTRACT FROM AUTHOR]

Zero watermarking constructs the watermark information according to the characteristics of the original data, without changing the data structure and data accuracy. Maintaining high data accuracy is the premise of building information modelling (BIM) usability, so zero watermarking is a hotspot in the research of BIM data security protection. BIM model is a type of 3D model, however, most of the existing zero watermarking algorithms for 3D models are difficult to be better applied to BIM data due to data structure differences. To solve this problem, a zero-watermarking algorithm for BIM data based on distance partitioning and skewness measure is proposed. Firstly, after spatial partitioning based on element paradigm value, the mapping relationship between different partitions and watermarking bits is established. Then, the skewness of elements is calculated, and the skewness measure sign is used as the feature to obtain the binary sequence. Finally, the dissimilarity operation is performed on the binary sequence and the original watermarking sequence which was disordered to construct the zero watermark of the BIM data. The experimental results show that the zero watermarks constructed from different BIM data are unique and robust to translation, rotation, element deletion, element addition, and format conversion attacks. In addition, the superiority of this paper's algorithm over the comparison algorithm in terms of robustness is compared. Therefore, the proposed algorithm can effectively provide technical support for BIM data copyright protection. [ABSTRACT FROM AUTHOR]

In this paper, we examine the relationship between the reliance on informal financial support and social insurance programs such as unemployment insurance to meet financial hardships imposed during the economic downturn associated with COVID-19. We use the U.S. Census Bureau's Household Pulse Survey to compare the likelihood of receiving informal financial support from family and friends for households that did or did not receive social insurance controlling for observable household characteristics. We pay special attention to differences by race/ethnicity and by homeownership – a proxy for wealth. Our results suggest that (1) some types of social insurance receipt are a weak substitute for informal financial support, (2) the substitution between informal financial support and social insurance receipt is stronger among White households than households of color, and (3) wealth is a more consistent buffer against financial hardship than social insurance receipt. [ABSTRACT FROM AUTHOR]

Direct cash transfers to households during the COVID-19 pandemic, including relief checks and Child Tax Credit payments, were delayed by weeks for recipients without bank accounts and were not received by many non-filers who lacked the time or resources to complete necessary paperwork. A postal banking system has the potential to expand access to financial infrastructure and enable the rapid distribution of resources to households in need during economic downturns – often the same households that are currently excluded from the financial system. This paper examines the history of the US Postal Savings System and the feasibility of a return to postal banking using evidence on the socioeconomic and spatial patterns of financial exclusion. We find that postal banks would be well positioned to compete with both alternative and conventional financial institutions, address issues with physical branch access, and improve outreach to vulnerable populations. [ABSTRACT FROM AUTHOR]

This paper discusses the interaction between two substantial debates in taxonomy and nomenclature: The potential introduction of DNA-only types into fungal taxonomy and whether certain species names are offensive and should be changed. It argues that the acceptance of DNA sequences as types will likely lead to a proliferation of eponyms (species named after a person or persons) and that this will render them more likely to censure thus creating a point of instability in the fungal nomenclature. More fundamentally, it seeks to highlight the cultural and aesthetic attraction of names and to promote wider conversation on why we consider the Latin binomial central in our description of species. [ABSTRACT FROM AUTHOR]

Patients previously examined for cancer with a negative result may present in general practice with ongoing or new symptoms or signs suggestive of cancer. This paper explores the potential existence of a relatively safe period for cancer occurrence after receiving negative examination results for specific types of cancer, including lung (CT thorax), upper gastrointestinal (gastroscopy), colorectal (colonoscopy), bladder (cystoscopy), and breast (clinical mammography). Register-based time-to-event analyses. Denmark. All 3.3 million citizens aged 30–85 years who on January first, 2017, had not previously been diagnosed with the specific type of cancer were categorized based on the time since their most recent examination. Using 1-year follow-up, we calculated the age- and sex-adjusted hazard ratios of being diagnosed with the related cancer, with non-examined individuals as reference. Negative examination results were defined as the absence of a cancer diagnosis within 6 months following the examination. Previous negative examination results were common, also among those diagnosed with cancer during follow-up. For 10 years after a negative colonoscopy the risk of diagnosing a colorectal cancer was nearly halved. However, already 1 year after a clinical mammography and 2 years after a CT thorax the risk of diagnosing the related cancers was significantly higher among those with a previous negative result compared to non-examined individuals. This study did not identify a post-examination period in which the cancer risk, compared to non-examined individuals, was sufficiently low to confidently rule out any of the investigated cancers. What should one expect when considering re-examining a patient with a negative result of a previous examination for cancer? We found that previous negative examination results are common in the general population and among those subsequently diagnosed with cancer. We did not find a safe period after any of the examinations in which a negative result alone could safely rule out the presence of cancer. [ABSTRACT FROM AUTHOR]

This paper is concerned with a novel problem of determining the maximum spanning capacity of an elastic catenary arch under its own weight against in-plane buckling. The arch supports may be fixed or pinned or rotationally restrained. The arch is assumed to have a uniform cross-section throughout its entire length and the arch length is assumed to be inextensible. Additionally, catenary arches with a crown hinge are considered. The specific shape of a family of catenary curves is specified by the height-to-span ratio (or the horizontal force) which is to be determined for maximum buckling capacity of the arch. The Hencky bar-chain model is adopted for the elastic buckling analysis as it avoids the need to formulate the governing equation for buckling and it is also a simple model to understand and for coding. From the maximum in-plane buckling load of the optimal arch solution, the maximum spanning capacity of the arch can then be derived. Presented herein are the maximum spanning capacities, optimal arc length to span ratios and maximum buckling loads of catenary arches with various support and crown conditions. [ABSTRACT FROM AUTHOR]