bluuebunny/crossref_metadata_2025_split huggingface dataset:
Failed secular revolutions: religious belief, competition, and extremism
Authors: Carvalho Jean-Paul , Rubin Jared , Sacks Michael 
Published: October 2023

AbstractAll advanced economies have undergone secular revolutions in which religious belief and institutions have been subordinated to secular forms of authority. There are, however, numerous examples of failed secular transitions. To understand these failures, we present a religious club model with endogenous entry and cultural transmission of religious beliefs. A spike in the demand for religious belief, due for example to a negative economic shock, induces a new and more extreme organization to enter the religious market and exploit the dissatisfaction of highly religious types with the religious incumbent. The effect is larger where institutional secularization is more advanced, for example where the religious establishment has moderated itself or has been moderated by the political authority. The greater the moderation of the religious incumbent, the more extreme is the position chosen by the religious entrant, and the larger is the rise in religious participation. Hence, unanticipated shifts in religious demand can lead to the emergence of new and more extreme religious organizations and reverse previous trends toward secularization. Our model sheds light on the causes and consequences of failed secular revolutions and religious revivals in Latin America and Egypt.
RONSI: a framework for calculating return on network security investment
Authors: Barik Kousik , Misra Sanjay , Fernandez-Sanz Luis , Koyuncu Murat 
Published: October 2023

AbstractThis competitive environment is rapidly driving technological modernization. Sophisticated cyber security attacks are expanding exponentially, inflicting reputation damage and financial and economic loss. Since security investments may take time to generate revenues, organizations need more time to convince top management to support them. Even though several ROSI techniques have been put out, they still need to address network-related infrastructure. By addressing gaps in existing techniques, this study delivers a comprehensive framework for calculating Return on Network Security Investment (RONSI). The proposed framework uses a statistical prediction model based on Bayes’ theorem to calculate the RONSI. It is validated by Common Vulnerability Security Systems (CVSS) datasets and compared to existing studies. The results demonstrate that the annual loss is reduced to 75% with the proposed RONSI model after implementing a security strategy, and the proposed model is compared with existing studies. An organization can effectively justify investments in network-related infrastructure while enhancing its credibility and dependability in the cutthroat marketplace.
Chromium Disarmament from Veritable Tanneries Sewer Water Utilizing Carbonic Rice Straw as a Sorbent: Optimization and Carbonic Rice Straw Characteristics
Authors: El-Gawad Heba A. , Kadry Ghada , Zahran Hamdy A. , Hussein M. H. 
Published: October 2023

AbstractThis exploration focuses on the removal of chromium from actual tannery wastewater, collected from the HARBY TANNERY factory in Rubiki (Badr City), using an economical sorbent made from activated carbon derived from rice straw (CRS). The CRS sorbent is activated using H3PO4. The experiment aims to assess the impact of various parameters, including chromium initial concentration, sorbent dosage, treatment time, agitation velocity (rpm), sorbent particle size, and solution pH, on chromium removal from tannery wastewater. Structural, morphological, and electronic distinctive of raw and treated CRS, as well as carbonized CRS, were analyzed using FTIR, SEM, and TEM techniques. XRF analysis was conducted to investigate the chemical elemental composition of carbonized CRS before and after sorption. Zeta potential measurement was performed to assess the electrical charges of particles present in a suspension. The adsorption data was tested for both Langmuir and Freundlich adsorption isotherms, and most of the factors suggested that it follows the Langmuir adsorption isotherm with an R2value of 99.67%. Additionally, adsorption kinetics were performed to identify the reaction order, which exhibited that sorption pursued pseudo-second-order kinetics with a rate constant (k) of 0.0658 g/mg g/min, a high correlation factor (R2) of 99.76%, and an estimated equilibrium chromium ion adsorption capacity (qe) of 1.597 mg/g, which closely matched the experimental data (1.4835 mg/g). The improved surface morphology and increased surface area of CRS resulted in approximately 98.9% chromium removal. Mechanism studies confirmed that intraparticle diffusion is not the sole rate-controlling step, and Boyd’s model demonstrated that film diffusion limited the rate of chromium adsorption. The desorption of chromium from the carbonized rice straw surface could be achieved by up to 96.4% of the sorbed amount by raising the solution pH to 10, indicating the potential reusability of carbonized rice straw for additional adsorption cycles. Finally, a statistical regression analysis and least square multivariate analysis were used to establish a correlation for predicting efficiency, yielding anR2value of 97.54%.
Bone health in rural Australia: a mixed methods study of consumer needs
Authors: Jones Alicia R , Garth Belinda , Haigh Catherine , Ebeling Peter R , Teede Helena , Vincent Amanda J 
Published: October 2023

Abstract

Summary

This mixed methods study explores osteoporosis among adults living in a regional area of Victoria, Australia. Three major themes emerged from interviews, which reflected the findings of surveys, concerns regarding the adequacy of care in rural areas, a desire for tailored, local care, and a desire for hybrid telemedicine or in-person services.

Purpose
Osteoporosis or osteopenia affects over half of adults aged over 50 years. People living outside major cities in Australia have higher hip fracture rates than people living in cities, along with reduced access to bone densitometry and osteoporosis specialists. This study explores osteoporosis risk factors, knowledge, experiences of and preferences for care in people living in a regional area, to inform development of osteoporosis care programs.

Methods
Adults living in a large non-metropolitan region of Australia were invited to participate in a mixed methods study: a survey (phase 1) followed by semi-structured interviews (phase 2) with triangulation of results. Data collected included osteoporosis diagnosis, risk factors, management, knowledge, preferences for care and experience using telemedicine. Surveys were analysed quantitatively, with linear and logistic regression used to assess factors related to osteoporosis knowledge or satisfaction with telemedicine. Interview transcripts were analysed using thematic analysis by two researchers, with in-depth discussion to identify themes.

Results
Sixty-two participants completed the survey, and 15 completed interviews. The mean (SD) age of survey participants was 62.2 (14.1) years, 57% had a screening test for osteoporosis, and 12 (19%) had a diagnosis of osteoporosis. The mean osteoporosis knowledge score was 8.4 / 19 and did not differ with age, education, or history of osteoporosis. The majority wanted access to more information about osteoporosis but preferred method differed, and the majority preferred in-person medical consultations to telemedicine. Interview participants were aged between 57 and 87 years, and included 8 with osteoporosis or osteopenia. Three major themes emerged: concerns regarding the adequacy of care in rural areas, a desire for tailored local car and a desire for hybrid telemedicine or in-person services.

Conclusion
Gaps exist in rural osteoporosis care, including knowledge, screening and management. People have differing experiences of care, access to services and preferences for care. High-quality care, tailored to their needs, was preferred. Improving osteoporosis services for regional Australia will require a flexible, multi-faceted approach, addressing needs of the local community and providers.
Reconnecting with the mathematical thought of the Mesoamerican numbers in Ixil: an onto-epistemological dialogue
Authors: LópezLeiva Carlos A. , de la Cruz Gómez Domingo , Gómez Pérez María , Castro Cutz Juan 
Published: October 2023

AbstractNumbers and languages are present around the world. While mathematics is deemed as universal, communities around the world have developed mathematical practices that align with their specific context and needs. Rooted in an Indigenous epistemological framework, this manuscript presents a dialogue among four co-researchers and teachers retelling their experiences teaching and learning Mesoamerican numbers in both monolingual (Spanish) and bilingual (Ixil and Spanish) contexts. With a strong desire to learn about and reconnect with the forces of Indigenous mathematical thought and language that move within the teaching and learning of these numbers, the authors collectively reflected on their “tellings” of prior work. It is worthy of note that these reflections on teaching and learning processes of naming Mesoamerican numbers, their symbols, and numerical values help realize that these concepts are more fully animated when presented in contexts that are onto-epistemologically relevant.
Synaptic configuration and reconfiguration in the neocortex are spatiotemporally selective
Authors: Sohn Jaerin 
Published: October 2023

AbstractBrain computation relies on the neural networks. Neurons extend the neurites such as dendrites and axons, and the contacts of these neurites that form chemical synapses are the biological basis of signal transmissions in the central nervous system. Individual neuronal outputs can influence the other neurons within the range of the axonal spread, while the activities of single neurons can be affected by the afferents in their somatodendritic fields. The morphological profile, therefore, binds the functional role each neuron can play. In addition, synaptic connectivity among neurons displays preference based on the characteristics of presynaptic and postsynaptic neurons. Here, the author reviews the “spatial” and “temporal” connection selectivity in the neocortex. The histological description of the neocortical circuitry depends primarily on the classification of cell types, and the development of gene engineering techniques allows the cell type-specific visualization of dendrites and axons as well as somata. Using genetic labeling of particular cell populations combined with immunohistochemistry and imaging at a subcellular spatial resolution, we revealed the “spatial selectivity” of cortical wirings in which synapses are non-uniformly distributed on the subcellular somatodendritic domains in a presynaptic cell type-specific manner. In addition, cortical synaptic dynamics in learning exhibit presynaptic cell type-dependent “temporal selectivity”: corticocortical synapses appear only transiently during the learning phase, while learning-induced new thalamocortical synapses persist, indicating that distinct circuits may supervise learning-specific ephemeral synapse and memory-specific immortal synapse formation. The selectivity of spatial configuration and temporal reconfiguration in the neural circuitry may govern diverse functions in the neocortex.
Closing special schools: lessons from Canada
Authors: Mann Glenys , Carrington Suzanne , Lassig Carly , Mavropoulou Sofia , Saggers Beth , Poed Shiralee , Killingly Callula 
Published: October 2023

AbstractMany countries grapple with the tension between commitment to inclusive education reform and the closure of special schools. This tension is particularly problematic for countries, like Australia, that have ratified the Convention on the Rights of Persons with Disabilities (CRPD). The CRPD is clear that closing special schools is pivotal to protecting the rights of students with disability to an inclusive education. Some provinces in Canada are considered to be leaders in the movement away from segregated education for students with disability. This paper reports on a critical review of the Canadian literature to develop a conceptual framework of drivers for, and barriers to special school closure. Drivers and barriers were identified at four levels: (1) societal level; (2) system level; (3) school level and (4) community level, with implications for each discussed. The findings will inform policy implementation in countries striving to meet their CRPD obligations.
Metal Deportment in Complex Secondary Raw Materials: The Case of Vanadium in Basic Oxygen Furnace Slags
Authors: Renno A. D. , Möckel R. , Frenzel M. , Ebert D. , Bachmann K. , Krause J. , Gutzmer J. 
Published: October 2023

AbstractWith the increasing demand for metalliferous and mineral raw materials and the consequent depletion of the global natural resource base, the possible utilization of secondary raw material sources is receiving more and more attention. In the present study, we present results from a detailed vanadium deportment study of three basic oxygen furnace slag (BOS) samples known to containing elevated bulk concentrations of vanadium. Complementary analytical methods that were used to quantify the abundance and composition of V-containing phases include SEM-based automated mineralogy, X-ray fluorescence analysis, and X-ray powder diffraction as well as electron probe microanalysis. The vanadium deportment was quantified using Monte-Carlo simulations of the data obtained from automated mineralogy and electron microprobe analysis. The total V concentrations identified by XRF are between 1.7 and 2.2 wt.% V. The most important hosts of vanadium are larnite-, brownmillerite- and portlandite-solid solutions. In two samples Ca carbonates also significantly contribute to the V deportment, while wuestite, lime, and native iron do not contribute significantly to the vanadium deportment. A thorough consistency check identifies considerable uncertainties in the density of the V-bearing phases as the most likely reason to explain remaining discrepancies between measured and calculated V values.
Phase-separation multiphase flow: preliminary application to analytical chemistry
Authors: Tsukagoshi Kazuhiko 
Published: October 2023

AbstractA two-phase separation mixed solution can undergo phase separation from one phase to two phases (i.e., upper and lower phases) in a batch vessel in response to changes in temperature and/or pressure. This phase separation is reversible. When the mixed solution undergoes a phase change while being fed into a microspace region, a dynamic liquid–liquid interface is formed, leading to a multiphase structure. This flow is called a phase-separation multiphase flow. Annular flow in a microspace, which is one such phase-separation multiphase flow, is interesting and has been applied to chromatography, extraction, reaction fields, and mixing. Here, research papers related to phase-separation multiphase flows—ranging from the discovery of the phenomenon to basic and technical research from the viewpoint of analytical science—are reviewed. In addition, the development of a new separation mode in a high-performance liquid chromatography system based on phase-separation multiphase flow is introduced.
Graphical abstract
CSI-Based Location Independent Human Activity Recognition Using Deep Learning
Authors: Abuhoureyah Fahd , Wong Yan Chiew , Isira Ahmad Sadhiqin Bin Mohd , Al-Andoli Mohammed Nasser 
Published: October 2023

AbstractHuman Activity Recognition (HAR) is widely used in various applications, from smart homes and healthcare to the Internet of Things (IoT) and virtual reality gaming. However, existing HAR technologies suffer from limitations such as location dependency, sensitivity to noise and interference, and lack of flexibility in recognizing diverse activities and environments. In this paper, we present a novel approach to HAR that addresses these challenges and enables real-time classification and absolute location-independent sensing. The approach is based on an adaptive algorithm that leverages sequential learning activity features to simplify the recognition process and accommodate variations in human activities across different people and environments by extracting the features that match the signal with the surroundings. We employ the Raspberry Pi 4 and Channel State Information (CSI) data to extract activity recognition data, which provides reliable and high-quality signal information. We propose a signal segmentation method using the Long Short-Term Memory (LSTM) algorithm to accurately determine the start and endpoint of human activities. Our experiments show that our approach achieves a high accuracy of up to 97% in recognizing eight activities and mapping activities associated with environments that were not used in training. The approach represents a significant advancement in HAR technology and has the potential to revolutionize many domains, including healthcare, smart homes, and IoT.
Positive Low Cloud Feedback Primarily Caused by Increasing Longwave Radiation From the Sea Surface in Two Versions of a Climate Model
Authors: Ogura Tomoo , Webb Mark J. , Lock Adrian P. 
Published: October 2023

AbstractLow cloud feedback in global warming projections by climate models is characterized by its positive sign, the mechanism of which is not well understood. Here we propose that the positive sign is primarily caused by the increase in upward longwave radiation from the sea surface. We devise numerical experiments that enable separation of the feedback into components coming from physically distinct causes. Results of these experiments with a climate model indicate that increases in upward longwave radiation from the sea surface cause warming and absolute drying in the boundary layer, leading to the positive low cloud feedback. The absolute drying results from decrease in surface evaporation, and also from decrease in inversion strength which enhances vertical mixing of drier free tropospheric air into the boundary layer. This mechanism is different from previously proposed understanding that positive low cloud feedback is caused by increases in surface evaporation or vertical moisture contrast.
Local Electron Density Depletions in the Martian Upper Ionosphere Obtained From MARSIS: Comparison With ASPERA‐3, and MAVEN, and the Connection With Crustal Magnetic Fields
Authors: Duru F. , Frahm R. A. , Hughes D. , Caplice T. , Pierce J. , Madanian H. 
Published: October 2023

AbstractSteep electron density depletions in the Martian ionosphere are important, especially because they could be regions of significant plasma escape. Local electron density profiles of the Martian ionosphere obtained from the radar sounder onboard the Mars Express spacecraft often show large fluctuations. In some cases, these fluctuations are observed as deep depletions in the electron density. Investigation over the past 12 years of Mars Advanced Radar for Subsurface and Ionospheric Sounding data have revealed over 200 cases of density depletions where the lowest density is less than one fifth of the density in the surrounding regions. These density dips occur both on the dayside and the nightside, with an abundance between solar zenith angles of 50–70° and 100–120°. They occur at all altitudes in the ionosphere. Many of the depletions occur in the southern hemisphere where the crustal magnetic field is stronger and there are more regions where the crustal magnetic field is mostly vertical. In more than half of the cases, the depletion in the local electron density corresponds to a decrease in the electron flux measured with the Analyzer of Space Plasmas and Energetic Atoms electron spectrometer. Several different mechanisms could be responsible for the formation of the depletions, including regions of localized electric fields or magnetic fields creating areas of increased field pressure, escape of the plasma along magnetic field lines depleting density locally, and the density decrease around the photoelectron boundary followed by an increase in the plasma density due to plasma clouds.
Validation of E‐Region Model Electron Density Profiles With AURIC Utilizing High‐Resolution Cross Sections
Authors: Sakib MD. Nazmus , Soto Emmaris , Yiğit Erdal , Evans J. Scott , Meier R. R. 
Published: October 2023

AbstractE‐region models have traditionally underestimated the ionospheric electron density. We believe that this deficiency can be remedied by using high‐resolution photoabsorption and photoionization cross sections in the models. Deep dips in the cross sections allow solar radiation to penetrate deeper into the E‐region producing additional ionization. To validate our concept, we perform a study of model electron density profiles (EDPs) calculated using the Atmospheric Ultraviolet Radiance Integrated Code (AURIC; D. Strickland et al., 1999, https://doi.org/10.1016/s0022-4073(98)00098-3) in the E‐region of the terrestrial ionosphere. We compare AURIC model outputs using new high‐resolution photoionization and photoabsorption cross sections, and solar spectral irradiances during low solar activity with incoherent scatter radar (ISR) measurements from the Arecibo and Millstone Hills observatories, Constellation Observing System for Meteorology Ionosphere and Climate (COSMIC‐1) observations, and outputs from empirical models (IRI‐2016 and FIRI‐2018). AURIC results utilizing the new high‐resolution cross sections reveal a significant difference to model outputs calculated with the low‐resolution cross sections currently used. Analysis of AURIC EDPs using the new high‐resolution data indicate fair agreement with ISR measurements obtained at various times at Arecibo but very good agreement with Millstone Hills ISR observations from ∼96–140 km. However, discrepancies in the altitude of the E‐region peak persist. High‐resolution AURIC calculations are in agreement with COSMIC‐1 observations and IRI‐2016 model outputs between ∼105 and 140 km while FIRI‐2018 outputs underestimate the EDP in this region. Overall, AURIC modeling shows increased E‐region electron densities when utilizing high‐resolution cross sections and high‐resolution solar irradiances, and are likely to be the key to resolving the long standing data‐model discrepancies.
Conjugate Observation of Whistler Mode Chorus, ECH Waves and Dayside Diffuse Aurora by MMS and Ground‐Based Yellow River Station
Authors: Teng S. , Han De‐Sheng , Liang J. , Zhang Q. , Sun J. , Wang S. , Zhou S. , Wang Z. , Huang Y. 
Published: October 2023

AbstractDayside diffuse auroras (DDAs) originate from the precipitation of energetic electrons in the central plasma sheet, induced by wave‐particle interactions. This study examines a specific case characterized by the detection of whistler mode chorus and electron cyclotron harmonic (ECH) waves using the Magnetospheric Multiscale (MMS) satellites, along with the conjugate observation of DDA at the Yellow River (YR) station. ECH waves are observed shortly after the satellite enters the magnetosphere from the magnetosheath and persist throughout the magnetosphere region. Chorus waves are also observed within the magnetosphere, and probably generated near the B minima, followed by the propagation along magnetic field lines. Analysis of MMS particle data reveals an increase in low‐energy electrons and scattering of high‐energy electrons during periods of enhanced whistler mode chorus waves. These precipitated electrons manifest as DDA phenomena. The observed evidence demonstrates the simultaneous occurrence of ECH, chorus waves, electron pitch angle scattering, and DDA. Moreover, the concurrent presence of these waves in the outer magnetosphere during the dayside raises important considerations regarding the relative roles of different plasma waves, particle energization, precipitation dynamics, and the overall development of DDA phenomena.