bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dissimilarity effects on house prices: what is the value of similar neighbours?
Authors: Bonakdar Said Benjamin , Roos Michael 
Published: October 2022

AbstractResidential choice does not only depend on properties of the dwelling, neighbourhood amenities and affordability, but is also affected by the population composition within a neighbourhood. All these attributes are capitalised in the house price. Empirically, it is not easy to disentangle the effect of the neighbourhood on house prices from the effects of the dwelling attributes. We implement an agent-based model of an urban housing market that allows us to analyse the interaction between residential choice, population composition in a neighbourhood and house prices. Agents differ in terms of education, income and group affiliation (majority vs. minority). Whereas rich agents can afford to move to preferred places, roughly 13.01% of poor minorities and 8.02% of poor majority agents are locked in their current neighbourhood. We show that a preference to live among similar neighbours has a strong competitive effect on rich households and drives up their house prices. This is not the case with a preference for status. By introducing a policy that provides agents more access to credit, we find that all population groups denote higher satisfaction levels. Poor agents show the largest improvements. The general satisfaction level across all population groups increases. However, the extra credit accessibility also drives up house prices and leads to higher wealth inequality within the city. If agents have a preference for status rather than for similarity, the effect of the overall inequality is smaller, since agents become more satisfied living in areas with less similar agents.
Conjugations on $$\varvec{L^2(\mathbb {T}^N)}$$ and Invariant Subspaces
Authors: Dymek Piotr , Płaneta Artur , Ptak Marek 
Published: October 2022

AbstractWe study conjugations on $$L^2(\mathbb {T}^N)$$

L
2

(

T

N

)

and their behaviour with respect to multiplication operators. Full characterizations of conjugations commuting or intertwining with multiplication operators are obtained. We also characterize conjugations leaving invariant subspaces being invariant for multiplication by independent variables. The subspaces not being the multiplication of the Hardy space $$H^2(\mathbb {D}^N)$$

H
2

(

D

N

)

by inner function are also considered.
Recent Progress in Large-Area Perovskite Photovoltaic Modules
Authors: Wang Haifei , Qin Zhixiao , Miao Yanfeng , Zhao Yixin 
Published: October 2022

AbstractPerovskite solar cells (PSCs) have undergone a dramatic increase in laboratory-scale efficiency to more than 25%, which is comparable to Si-based single-junction solar cell efficiency. However, the efficiency of PSCs drops from laboratory-scale to large-scale perovskite solar modules (PSMs) because of the poor quality of perovskite films, and the increased resistance of large-area PSMs obstructs practical PSC applications. An in-depth understanding of the fabricating processes is vital for precisely controlling the quality of large-area perovskite films, and a suitable structural design for PSMs plays an important role in minimizing energy loss. In this review, we discuss several solution-based deposition techniques for large-area perovskite films and the effects of operating conditions on the films. Furthermore, different structural designs for PSMs are presented, including the processing technologies and device architectures.
Oechsleria unterfeldensis, gen. et sp. nov., a sailfin velifer fish (Lampridiformes, Veliferidae) from the Oligocene of the Unterfeld (“Frauenweiler”) clay pit
Authors: Micklich Norbert , Bannikov Alexandre F. 
Published: October 2022

AbstractThese are the first and so far only records of a sailfin velifer fish from the Lower Oligocene of the Unterfeld (“Frauenweiler”) clay pit at Rauenberg (S Germany), and only the fourth fossil skeletal finds of this group worldwide. The new genus and species †Oechsleria unterfeldensis is described in detail, diagnosed, and compared to other fossil and extant representatives of the Veliferidae. It appears to be a comparatively small-sized fish, which differs from the other representatives of this family, apart from body proportions, by having a lower number of vertebrae and dorsal-fin rays, the absence of massive spines in the dorsal and anal fins, four anal-fin pterygiophores in front of the anteriormost haemal spine, and a different morphology and size of various skeletal elements. Amongst others, the following character states are of relevance: a supraoccipital that is laterally sculptured by strong surface ridges; a weak ascending process of the premaxilla that is shorter than in the other veliferid taxa; compound (fused) anteriormost dorsal- and anal-fin pterygiophores, together with spineless dorsal and anal fins with unornamented rays (no spinules), of which the majority are bilaterally paired and both halves are fused only proximally but separate and segmented distally; a short coracoid that does not reach the ventral body margin; a broad and anterodorsally directed pelvic bone that bears a well-developed postpelvic process, and probably also the presence of a short pointed neural spine (in contrast to a distally blunt one and/or a low crest) on the second preural centrum. All in all, the new fossil records remarkably increase the known biodiversity of the Veliferidae. They also expand the known palaeogeographic range of this family as far as to the Western Paratethys. With reference to the occurrence and life habits as deduced from the extant forms, they seem to be another Indo-Pacific (respectively Palaeo-Mediterranean, when referring to the fossil forms) element of the Grube Unterfeld fish fauna with a preference for deeper waters and affinities to temperate to tropical climates.
Social Appropriation of Knowledge About Research in Prostate Cancer with Middle Education Students in Three Colombian Cities
Authors: Morales-Suárez Paula Daniela , Montero-Ovalle Wendy Johana , Pardo-Sanabria Paula Juliana , Cuestas-Castañeda Juan Camilo , Segura-Moreno Yenifer Yamile , Nuñez-Lemus Marcela , Sanabria-Salas María Carolina , Varela-Ramírez Rodolfo , Serrano Martha Lucía 
Published: October 2022

AbstractIn Colombia, prostate cancer (PCa) is the most common cancer for incidence and mortality in men, which turns it into a public health problem. For high-risk communities to better understand the usefulness of basic research about PCa, a strategy of social appropriation of knowledge (SAK) in science and cancer was designed and implemented. A pedagogical activity and two tests (a pre-test and a post-test) were applied to middle education students in four schools in three Colombian cities to identify previous knowledge of biology concepts and cancer perceptions. As for biology concepts, there was a statistically significant increase (p < 0.01) in the total results of all questions in the post-test, especially in items related to the structure of DNA, differences between RNA and DNA, and codon. Similarly, better success rates were observed in questions about replication and mutation, and a statistically significant improvement related to the definition of cancer, cancer prevention, and its association with culture or ethnicity (p < 0.01). The results of the open question show what students learned about or were interested in the most, as evidence of the exchange of knowledge in those cities and the social appropriation of knowledge about PCa in Colombia. These findings show that this type of intervention, in diverse social contexts, is essential to improve understanding and perceptions that link school and scientific knowledge to a real problem, such as health and, in this case, cancer.
Design and Investigation of a High-Sensitivity Tilt Sensor Based on FBG
Authors: Pan Jianjun , Wang Liangying , Hou Wei , Lv Hanyang 
Published: October 2022

AbstractIn this paper, a high-sensitivity fiber Bragg grating (FBG) tilt sensor using a cantilever-based structure is introduced. Two FBGs are fixed on a specially designed elastomer. One end of the elastomer is connected to the mass block, and the other end is connected to the shell. The principle of the tilt sensor is introduced in detail, and the mathematical model is established. The performance of the sensor is studied. The results show that there is a good linear relationship between the central wavelength difference of the two FBGs and the tilt angle in the range of −5° to 5°. The repeatability of the sensor is good, and the tilt sensitivity can reach 231.7pm/°. The influence of the silicone oil on the damping capacity of the sensor is studied. The results show that the damping capacity of the sensor has been improved by sealing the silicone oil inside the shell of the sensor. The field test is carried out on a pier of an elevated bridge, and the result is good, which verifies the practicability of the sensor.
Automating Global Threat-Maps Generation via Advancements of News Sensors and AI
Authors: Sufi Fahim K. , Alsulami Musleh , Gutub Adnan 
Published: October 2022

AbstractNegative events are prevalent all over the globe round the clock. People demonstrate psychological affinity to negative events, and they incline to stay away from troubled locations. This paper proposes an automated geospatial imagery application that would allow a user to remotely extract knowledge of troubled locations. The autonomous application uses thousands of connected news sensors to obtain real-time news pertaining to all global troubles. From the captured news, the proposed application uses artificial intelligence-based services and algorithms like sentiment analysis, entity detection, geolocation decoder, news fidelity analysis, and decomposition tree analysis to reconstruct global threat maps representing troubled locations interactively. The fully deployed system was evaluated for full three months of summer 2021, during which the autonomous system processed above 22 k news from 2397 connected news sources involving BBC, CNN, NY Times, Government websites of 192 countries, and all possible major social media sites. The study revealed 11,668 troubled locations classified successfully with outstanding precision, recall, and F1-score, all evaluated in ubiquitous environment covering mobile, tablet, desktop, and cloud platforms. The system generated interesting global threat maps for robust scenario set of $$3.71 \times {10}^{29}$$

3.71
×

10

29

, to be reported as original fully autonomous remote sensing application of this kind. The research discloses attractive news and global threat-maps with trusted overall classification accuracy.
Physical activity phenotypes and mortality in older adults: a novel distributional data analysis of accelerometry in the NHANES
Authors: Matabuena Marcos , Félix Paulo , Hammouri Ziad Akram Ali , Mota Jorge , del Pozo Cruz Borja 
Published: October 2022

AbstractPhysical activity is deemed critical to successful ageing. Despite evidence and progress, there is still a need to determine more precisely the direction, magnitude, intensity, and volume of physical activity that should be performed on a daily basis to effectively promote the health of individuals. This study aimed to assess the clinical validity of new physical activity phenotypes derived from a novel distributional functional analysis of accelerometer data in older adults. A random sample of participants aged between 65 and 80 years with valid accelerometer data from the National Health and Nutrition Examination Survey (NHANES) 2011–2014 was used. Five major clinical phenotypes were identified, which provided a greater sensitivity for predicting 5-year mortality and survival outcomes than age alone, and our results confirm the importance of moderate-to-vigorous physical activity. The new clinical physical activity phenotypes are a promising tool for improving patient prognosis and for directing to more targeted intervention planning, according to the principles of precision medicine. The use of distributional representations shows clear advantages over more traditional metrics to explore the effects of the full spectrum of the physical activity continuum on human health.
Secure medical image sharing for smart healthcare system based on cellular neural network
Authors: Ye Conghuan , Chen Cong 
Published: October 2022

AbstractThe smart healthcare system (SHCS) facilitates the healthcare process with the widespread use of medical data through the internet of medical things (IoMT). Widespread use of medical data, especially medical images can also lead to privacy issues. Traditional encryption algorithms can address some problems; however, they cannot deter the redistribution of decrypted content. To prevent the decrypted content from being used illegally, the paper proposes a combination scheme of encryption and fingerprinting based on the game of life (GOL) and singular value decomposition (SVD) with the purpose of protecting medical images. First, medical images are performed with discrete wavelet transform (DWT). Second, the highest coefficients bit planes of the approximation component are selected to confuse with GOL. Third, the other bit planes and other detail components are chosen to embed fingerprints. Finally, all subbands are diffused with SVD computing. The proposed privacy protection scheme, as far as we know, is the first privacy protection scheme for the SHCS using GOL and SVD based on a chaotic cellular neural network (CNN). The proposed scheme can provide double-level privacy protection for the SHCS. The experimental results and discussion verify it is effective for the privacy protection of the SHCS.
Does statistics anxiety impact academic dishonesty? Academic challenges in the age of distance learning
Authors: Eshet Yovav , Steinberger Pnina , Grinautsky Keren 
Published: October 2022

AbstractThis study discusses the mediating role of statistics anxiety and motivation in the relationship comprising academic dishonesty, personality traits, and previous academic achievements in three different learning environments (Face to Face -F2F, Planned Online Environment – POE, and Emergency Remote Teaching – ERT). Self-determination theory (SDT) provides a broad psychological framework for these phenomena. Data were collected from 649 bachelor-degree students in the Social Sciences in five Israeli academic institutions. Structural equation modelling was employed to investigate the research variables’ relationships. Findings indicate that statistics anxiety mediates the relationship between personality traits and academic dishonesty in the POE and the ERT learning environments. Findings also indicate the relationship between students’ achievements and academic dishonesty, but only in the ERT learning environment. In contrast, motivation mediates the relationship between students’ achievements and statistics anxiety only in the POE learning environment. This study unveils that learning environments determine the mediating role of statistical anxiety. In digital learning environments (POE, ERT), mediation has been found between students’ personality traits and academic dishonesty. No similar parallel mediation could be established in the physical learning environment, F2F. Thus, we conclude that online courses should be designed according to student-centred approaches.
Literacy and Numeracy in Children on Autism Spectrum Disorder
Authors: Kljajevic Vanja 
Published: October 2022

Abstract
Objectives
The variability in patterns of acquisition of literacy and numeracy skills in young children with autism spectrum disorder (ASD) is currently not well understood. In the present study, we investigated these skills in cognitively able children with ASD ages 7–12 years.

Methods
Using independent samples t test, we compared autistic children’s scores on word reading, spelling, and numerical operations with those of typically developing children in the same age group. A paired-samples t test was used to assess whether reading, spelling, and numerical operations scores were comparable within the ASD group. Finally, we tested whether verbal IQ mediated the effect of diagnostic status on these scores.

Results
The main findings of the study are that autistic children had worse scores on numerical operations than the control group (t(54.112) =  − 3.326, p = .002, d =  − .314), but the groups’ scores were similar in word reading and spelling. The autistic children had significantly better scores on word reading and spelling than on numerical operations. All scores of autistic children were positively associated with their verbal IQ scores. Verbal IQ mediated the effect of diagnostic status on all outcome variables.

Conclusion
These findings extend current understanding of patterns of acquisition of literacy and numeracy skills in young children with ASD, suggesting a critical role of verbal abilities in the acquisition of numerical skills.
Mass spectrometric analysis of chondroitin sulfate-linked peptides
Authors: Ramarajan Madan Gopal , Saraswat Mayank , Budhraja Rohit , Garapati Kishore , Raymond Kimiyo , Pandey Akhilesh 
Published: October 2022

AbstractChondroitin sulfate proteoglycans (CSPGs) are extracellular matrix components composed of linear glycosaminoglycan (GAG) side chains attached to a core protein. CSPGs play a vital role in neurodevelopment, signal transduction, cellular proliferation and differentiation and tumor metastasis through interaction with growth factors and signaling proteins. These pleiotropic functions of proteoglycans are regulated spatiotemporally by the GAG chains attached to the core protein. There are over 70 chondroitin sulfate-linked proteoglycans reported in cells, cerebrospinal fluid and urine. A core glycan linker of 3–6 monosaccharides attached to specific serine residues can be extended by 20–200 disaccharide repeating units making intact CSPGs very large and impractical to analyze. The current paradigm of CSPG analysis involves digesting the GAG chains by chondroitinase enzymes and analyzing either the protein part, the disaccharide repeats, or both by mass spectrometry. This method, however, provides no information about the site of attachment or the composition of linker oligosaccharides and the degree of sulfation and/or phosphorylation. Further, the analysis by mass spectrometry and subsequent identification of novel CSPGs is hampered by technical challenges in their isolation, less optimal ionization and data analysis. Unknown identity of the linker oligosaccharide also makes it more difficult to identify the glycan composition using database searching approaches. Following chondroitinase digestion of long GAG chains linked to tryptic peptides, we identified intact GAG-linked peptides in clinically relevant samples including plasma, urine and dermal fibroblasts. These intact glycopeptides including their core linker glycans were identified by mass spectrometry using optimized stepped higher energy collision dissociation and electron-transfer/higher energy collision dissociation combined with hybrid database search/de novo glycan composition search. We identified 25 CSPGs including three novel CSPGs that have not been described earlier. Our findings demonstrate the utility of combining enrichment strategies and optimized high-resolution mass spectrometry analysis including alternative fragmentation methods for the characterization of CSPGs.
Modifying the linear two-step Windmeijer correction for the presence of spatial error dependence
Authors: Fingleton Bernard 
Published: October 2022

AbstractThe aim in the paper is to show how the presence of spatial dependence affects the often-adopted Windmeijer (J Econom 126:25–51, 2005) finite sample correction (For example it is an option facilitating robust estimation in the software package Stata, which is used by many applied econometricians and data analysts.), which corrects the downward bias in estimated parameter standard errors. Windmeijer (2005) explains why, with numerous instruments, the estimated asymptotic standard errors of the efficient, two-step, GMM estimator are downward biased in small samples. GMM estimation is based on an estimated optimal weight matrix, which is the inverse of the covariance of the sample moments, and the bias results from the weight matrix being evaluated at estimated, rather than the true values of parameters. Hwang et al. (J Econom 229(2):276–298, 2022) provide a correction to the Windmeijer (2005) finite sample correction to allow for over-identification bias. The novel contribution of the current paper is to show how the Windmeijer (2005) correction can be modified given spatial dependence in the error term of a model with moments conditions that are linear in parameters estimated by GMM, leading to corrected standard errors and therefore more accurate inference. Monte Carlo simulations are used to demonstrate the effect of the modification and two examples using real data shows how inference may be affected by ignoring the effect of spatial error dependence.
The Logic of Clientelism in Argentina: An Ethnographic Account
Authors: Auyero Javier 
Published: October 2022

AbstractBased on ethnographic fieldwork in a shantytown in the outskirts of Buenos Aires, this article studies the workings of Peronist “political clientelism” among the urban poor. It analyzes the web of relations that some slum-dwellers establish with local political brokers to obtain medicine, food, and solutions to other everyday concerns. The article also explores the main functions of the “problem-solving networks,” which are resource control and information hoarding, and pays particular attention to an underexplored dimension of the operation of clientelism: clients' own views on the network.
Trouble in Paradise?: The Erosion of System Support in Costa Rica, 1978–1999
Authors: Seligson Mitchell A 
Published: October 2022

AbstractCosta Rica has been the real success story of Latin American democracy. For the last half-century, this small country has held free, fair, and competitive elections, experienced regular rotation of rulers and parties, and rarely violated human or civil rights. Consistent voter turnout rates of 80 percent and a firmly entrenched two-party system appeared to be unalterable features of the electoral landscape since the late 1950s. While democracy still seems securely entrenched, the 1998 elections brought a major shift. Abstention increased by 50 percent, and votes for minor parties in the legislature doubled, reaching one-quarter of the electorate. This research note presents evidence that the shift is the result of long-term forces, using cross-sectional survey data collected from 1978 to 1999. Notable declines in the legitimacy of the political system explain the drop in turnout and the rise of minor parties. The study then attempts to explain why this decline may have occurred.
Public Opinion of the Economy and the President among Mexico City Residents: The Salinas Sexenio
Authors: Villarreal Andrés 
Published: October 2022

AbstractBecause of the prominence of the president in the Mexican political system, public opinion of the executive is a particularly important political indicator. Two models of public opinion are used here to explain changes in President Carlos Salinas de Gortari's approval rate from 1990 to 1994. The economic-performance model assumes that approval was based on public perception of trends in the economy. The statistical analysis shows that individuals' perceptions of economic performance had a strong positive effect on their opinions of the president. But basic economic indicators such as inflation, the real value of wages, and the level of unemployment are found to explain only partially Mexico City residents' opinions of the economy. The policy-initiatives model assumes that approval of President Salinas was based on public opinion of his economic policy initiatives. Citizens' approval of Salinas's economic initiatives was found to affect their opinions of the president substantially. Because many of these policy initiatives, such as NAFTA, had no immediate direct impact on the economic condition of the country, I conclude that Salinas's extraordinary popularity was largely due to the expectations that these initiatives created.