bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modifiable Areal Unit Problems for Infectious Disease Cases Described in Medicare and Medicaid Claims, 2016-2019
Authors: Williams Nick 
Published: March 2024

Abstract
Introduction: Modifiable Areal Unit Problems are a major source of spatial uncertainty, but their impact on infectious diseases and epidemic detection is unknown.
Methods: CMS claims (2016-2019) which included infectious disease codes learned through SNOMED CT were extracted and analyzed at two different units of geography; states and ‘home to work commute extent’ mega regions. Analysis was per member per month. Rolling average above the series median within geography and agent of infection was used to assess peak detection. Spatial random forest was used to assess region segmentation by agent of infection.
Results: Mega-regions produced better peak discovery for most, but not all agents of infeciton. Variable importance and Gini measures from spatial random forest show agent-location discrimination between states and regions.
Conclusions: Researchers should defend their geographic unit of report used in peer review studies on an agent-by-agent basis.
Research on Small Public Space Recognition Based on Street View Images: A Case Study of Beijing Beixiaguan Street
Authors: Wang Liang , Hai Zhenkun , Chen Yichen , Zhang Xinghua , Zhang Xiaodong 
Published: March 2024

Abstract

As urbanization continues, people are increasingly seeking spiritual fulfillment beyond material needs. The demand for public space is growing, but the quantity is inadequate, and some spaces lack the required quality. In response, attention is shifting towards underutilized small public spaces in cities. These spaces are gaining importance as a means to address spatial and social challenges in declining inner cities through renovation or addition. Traditional methods of locating small public spaces require a lot of human and material resources for on-site investigation, which is costly and inefficient, while street view images, as a new data source, contain environmental information and spatial information around almost all roads in the city, thus becoming an option for identifying the location of small public spaces. This paper integrates three algorithms of image similarity matching, image target detection recognition and image semantic segmentation, labels and trains target element datasets, and implements a target detection recognition method based on YOLOv5 algorithm to identify streetscape images containing target elements, and takes Beijing Beixiaguan street as an example to comprehensively and efficiently identify streetscape image information of Beixiaguan street and accurately identify small public spaces in Beixiaguan street. The study shows that the method of identifying small public spaces based on streetscape images provides an important solution for efficiently discovering and utilizing small public spaces hidden in urban corners, which can promote the efficiency of urban management planning and contribute to the vision of human-centered urban renewal.
Geometric Constraints on the Speed of Sound and Properties of Neutron Stars
Authors: Bousder M. , Salmani E. , Riadsolh A. , Belkacemi M. El , Ez-Zahraouy H. 
Published: March 2024

Abstract
We investigate solutions to the Tolman-Oppenheimer-Volkoff equations and their implications, deriving an equation of state for the star’s surface as a function of two geometric parameters, λ(r) and ν(r). We find that the parameter λ(r) is essential for explaining fluctuations in the baryon number density and baryonic chemical potential within and outside a neutron star, enabling simulations of regions with varying neutron matter densities. We also highlight the significant role of the ν(r) parameter in illustrating the transition from a neutron star to a black hole, establishing a direct connection between the neutron star’s radius and the event horizon’s radius. The parameter λ(r) is crucial for understanding how the baryon number density and baryonic chemical potential fluctuate inside and outside a neutron star. The core is characterized by λ > 0, and the outer crust is defined by λ < 0. Finally, by analyzing the polytropic equation of state, we find that the neutron stars are composed of two distinct regions: a low-density outer crust and a very high-density core, separated by a sharp boundary. The mixing region between the two layers is known as the inner crust and outer core.
Effective removal of tetracycline hydrochloride under visible light using cobalt doped magnesium ferrite nanoparticles
Authors: Rajadurai L. , Sambasivam R. , Dash Chandra Sekhar , Ramalingam R. Jothi , Dhiwahar A. Tony , Al-lohedan Hamad , Vidhya J. , Sundararajan M. 
Published: March 2024

Abstract
Photocatalyst Co doped MgFe2O4 prepared for the degradation of Tetracycline hydrochloride (TET) using microwave combustion method (MCM) and determined through XRD, XPS, HR-SEM, EDX, TEM, DRS-UV, FTIR, VSM, BET and lab-made photocatalytic reaction setup to describe the structural, compositional, morphological, magnetic, optical and photocatalytic performance. The average crystallite size and the formation of the cubic spinel structure are ensured by XRD. The oxidation state and elements of MgFe2O4 and Co2+ doped MgFe2O4 was confirmed by XPS and EDX, ensuring the existence of all the components. HR-SEM and TEM confirm the spherical-shaped particle with agglomeration and coalescence. DRS-UV was used to determine the optical bandgap. We used FTIR spectra to analyze functional groups. M-H curves show all samples exhibit soft ferromagnetic characteristics. N2 isotherm analysis showed elevated surface area and pore size values. Additionally, the investigation evaluated the specific mechanism of photocatalytic degradation. (PCD), under ideal conditions, the degradation rate of TET reached 98.7%.
Numerical Simulation of Heat Transfer in a Solar Flat Plate Collector using nano-Fluids
Authors: Moghtadaei Anahita 
Published: March 2024

Abstract

Solar energy is a source of clean and free energy that has been used by humans in various ways. The recent energy crisis has made countries around the world approach energy issues differently. The heat and light emitted by the sun is called solar energy. Solar energy is the light and heat that is radiated from the sun and can be harnessed using a range of technologies, such as photovoltaic systems and solar thermal energy. One of the most important applications of solar energy is the use of photovoltaic panels to convert solar energy into electrical energy. Solar collectors are used to harness the thermal energy (heat) from solar energy. In this study, the heat exchange by nanofluid in pipes, screw, and absorber plate in the flat plate collector were examined. Nanofluids are fluids that have particles suspended between 1 and 100 nanometers in size in the base fluid. The addition of nanofluids significantly increases heat transfer and thermal conductivity. In this study, silicon carbide nanofluids with percentages of 1%, 2%, 3%, and 4% in the base fluid (ethylene glycol) were used. The thermal properties, such as Nusselt number, conductive heat transfer coefficient, and transfer rate of the nanofluids were investigated.
Geotechnical evaluation of residual granitic soils contaminated with gasoline
Authors: Gomes Luis Ferreira , Teixeira Gonçalo , Studart André , Marchiori Leonardo , Morais Maria Vitoria , Albuquerque Antonio , Pais Luis Andrade 
Published: March 2024

Abstract

Human activity brings several risks of contamination with pollutants of varying types and effects, with hydrocarbon compounds being of great concern as they are released by vehicles, industrial and construction activities and in areas with fuel reservoirs, among others. Hence, when these contaminants reach the soil, a legitimate question arises regarding their impact on the soil's resistance characteristics. This work presents a case study of granite residual soils contaminated with gasoline under 8-, 16-, and 32-days. Physical and mechanical characterization were conducted. Direct shear tests have stated high enhancement in cohesion of the samples contaminated with gasoline, exposing their lubrification effect while enveloping the particles grains. CBR and structural analysis values exposed support capacity reduction up to 16%, probably due to the gasoline´s aggressiveness as a chemical agent, altering the general structure of the soil. It seems that gasoline is a complex addition to the soil-water-air interaction, possibly transforming the soil into a hydrophobic material and thus separating the water as the connecting agent, affecting the overall structure and support capacity of the soil.
Celebrating legacy: The intergenerational transmission of reproduction and human capital in Ming–Qing Chinese families
Authors: Hu Sijie 
Published: March 2024

Abstract
In unified growth models, a key to achieving sustained economic growth is the evolving nexus between population dynamics and technological change. This paper uses the genealogical records of 36,456 males to investigate the nexus—the intergenerational transmission of reproduction and human capital—within six Chinese lineages from 1350 to 1920. By examining the relationship between reproduction and long-run reproductive success, the empirical results reveal that the optimal level of reproduction exceeded the sample median. This finding suggests that greater reproduction in each generation was conducive to long-run reproductive success. In exploring the mechanisms through which reproduction affected long-run reproductive success, I investigate the relationship between child quantity and quality. The results indicate an absence of quantity-quality trade-off of children in the six lineages. This paper concludes that, in Ming–Qing (1368–1911) China, opting for larger families conferred definite advantages upon high-status men, enabling them to produce a greater number of high-quality male descendants across successive generations.
JEL Classification I25, J13, N35, O15
Sympatric speciation with gene flow of Drosophila hydei from Evolution Canyon
Authors: Qiao Zhenglei , Wan Na , Liu Xi , Wang Yinjia , Li Fang , Kuang Zhuoran , Mao Leyan , Li Kexin , Wang Huihua , Nevo Eviatar 
Published: March 2024

Abstract

Mounting theoretical and empirical studies prove that sympatric speciation is possible in nature, however, it’s commonality is still debated. Here we show genomic evidence for incipient sympatric speciation inDrosophila hydeifrom Evolution Canyon I in Mount Carmel Israel. First, we provide a reference genome with contig N50 of 4.72 Mb. Population genomes were clearly separated between the hot-dry savannoid African slope (AS) and cool-humid temperate European slope (ES). Genetic diversity and recombination rate was significantly higher in ES new sympatric species than that in AS. Tajima’sDis significantly higher in AS than that in ES suggesting they were under different non-random selection patterns, rejecting neutrality. We identified 137 islands and the genetic parameters were significantly different with that of the backgrounds. Putatively selected genes (GO enrichment) from ES population were enriched in higher aggression, photoreception, autophagy, temperature, neurogenetics and reproduction, and defense responses against bacteria and fungi. By contrast, in the AS, the selected genes were enriched in aging, autophagy, visual system and response to nutrient level.
Circ-MEG3 inhibits the malignant proliferation of human cervical cancer cells
Authors: Pan Tong , liang Shuang , Li Yanna 
Published: March 2024

Abstract

Cervical cancer is one of the most common malignant cancers in the world and circular RNA plays an important role in the development of human cancer. However, Circ-MEG3 exact function is still unclear. Herein, our results indicate that circ-MEG3 inhibits the growth in vitro and in vivo of human cervical cancer cells. Moreover, we find that circ-MEG3 alters gene expression in human cervical cancer cells. In particular, there were differences in gene expression between rLV-circ group and rLV-circ-MEG3 group, among which 407 genes were up-regulated expression and 8562 genes were down-regulated expression. The important up-regulated genes mainly include CHIC2, EXT1, KDM6A, DDX5, PPARγ, CNBP, PRRX1, BTG1, FBXO11, SRGAP3, SET, PTEN, EIF4A2. The important down-regulated genes mainly include HSP90AB1, CALR, TPM4, HSP90AA1, MYH9, NPM1, HMGA1, CDKN2A, NDRG1, ATP1A1, SDHA, FUS, MYC, SEPT9, CCND3, DNAJB, SND1, CCND1, RPN1, H3F3A. Strikingly, our results show that circ-MEG3 alters cellular functions and cell signaling pathway. The important up-regulated KEGG mainly include p53signaling pathway, Ribosome biogenesis in eukaryotes. The important down-regulated KEGG mainly include cGMP-PKG signaling pathway, Wnt signaling pathway, mTOR signaling pathway, MAPK signaling pathway, Amphetamine addiction. In conclusions, Circ-MEG3 inhibits the progression of human cervical cancer by altering gene expression and related signaling pathways, providing a theoretical basis for clinical diagnosis and treatment of cervical cancer. We will further explore how Circ-MEG3 functions during cervical carcinogenesis and screen its associated important targets.
A secure data sharing model against keyword guessing attacks in edge-cloud collaboration scenarios
Authors: Zhang Qikun , Xiong Meng-en , Li Ping , Yuan Junling , Zhu Hongfei 
Published: March 2024

Abstract

In the context of edge cloud collaboration scenarios, data sharing is an essential technological tool, and smart devices face significant challenges when it comes to data sharing security. In scenarios involving edge clouds, attribute-based keyword search (ABKS) is utilized to enable fine-grained access control over shared data and keyword retrieval by users who meet the required privileges. The implementation of secure data sharing is threatened since most of the current ABKS protocols are unable to fend against Keyword Guessing Attacks (KGA), which can be launched by an untrusted cloud server and result in the exposure of sensitive personal information. Using attribute-based encryption (ABE) as the foundation, we build a secure data exchange paradigm in this work that withstands the keyword guessing attack.In our paper, we provide a secure data sharing framework that resists keyword guessing attacks and uses attribute-based encryption (ABE) as the foundation to achieve fine-grained access control to resources in the ciphertext. To avoid malicious guessing of keywords by cloud servers, two encryption keys computed by edge layer key negotiation mechanism re-encrypt the user's private key and keyword trapdoor, respectively. The model is implemented using the JPBC library. According to the security analysis, the model is able to resist Keyword Guessing Attacks (KGA) in the random oracle model. The model's performance examination demonstrates its feasibility and lightweight nature, as well as its large computing advantages and lower storage consumption.
Understanding Agoraphobic Tendencies: Development and Validation of the Deenz Agoraphobia Scale (DAS-15) in Non-Clinical Populations
Authors: Dar Deen Mohd 
Published: March 2024

Abstract
Deenz Agoraphobia Scale (DAS) is a 15-item instrument designed to assess agoraphobia symptoms using a 3-point scale. This study aimed to evaluate the reliability and validity of the DAS in a sample of 32 participants aged 21 to 25, primarily recruited from college settings. Results indicated strong internal consistency reliability (Cronbach’s alpha = .85) and significant positive correlations between DAS scores and measures of anxiety severity (r = .60, p < .001) and fear of public spaces (r = .45, p < .01), supporting the scale’s reliability and convergent validity in young adults. These findings highlight the DAS’s potential as a valid measure for assessing agoraphobia symptoms in this age group.
Developing a Water Magnetization System for Scale Prevention and Water Treatment
Authors: Attia Moussa , Driss Zied , Abd-Elhamid Hany F. , Ennetta Ridha 
Published: March 2024

Abstract
This study examines the viability of employing electromagnetic water treatment as a viable substitute for traditional approaches. This study explores the significance of water purification, its practical applications, and the phenomenon of magnetism. This method employs various electromagnetic fields to alter the physical and chemical characteristics of water, thereby improving its capacity to dissolve and retain nutrients, decreasing surface tension, and promoting enhanced water infiltration. The treatment technique efficiently eliminates contaminants, diminishes the concentration of dissolved minerals, and amplifies the water's taste and fragrance, without using any chemicals. Consequently, they are becoming more recognized as a viable and economical method of water filtration. Nevertheless, the effectiveness of the procedure depends on the caliber of the water and the costs associated with the equipment. Further investigation is required to comprehensively understand its influence on human health and environment. Moreover, it is crucial to highlight that we have created a prototype of a water magnetization device and carried out extensive research and measurements before and during its implementation. The efficacy of water magnetization in removing pollutants like lime and enhancing the freshness and health benefits of water, both for human consumption and agricultural use, has been demonstrated. This study rigorously examines the efficacy of an electromagnetic water treatment (EMWT) system, showcasing remarkable improvements in water quality. Based on our observations, there are 85% fewer bacteria, corrosion slows down by more than 60%, and the formation of CaCO3 scales is stopped significantly, by more than 75%. Such quantitative outcomes underscore the system's profound impact on enhancing water safety and infrastructure longevity. The profound importance of this research lies in its potential to revolutionize water treatment methodologies. For human health, the system promises a substantial reduction in waterborne diseases by providing cleaner, safer water without reliance on harmful chemicals, thus preserving essential minerals. Environmentally, it signifies a step towards sustainable water management by reducing the dependency on chemical additives and minimizing waste. The broader implications of our findings suggest a transformative potential across various sectors, including agriculture, where enhanced water quality could significantly improve crop yield and reduce chemical fertilizer dependency, and industrial processes by prolonging equipment life through scale prevention. By bridging the gap between advanced scientific research and practical application, this study not only highlights the technological innovation behind EMWT but also its critical role in fostering a sustainable, healthy future for both humans and the environment.
Iodine Coadsorbed OH-Copper Phthalocyanine for Dopamine Sensing – A DFT Study
Authors: Sangeetha Thekkayil , Lakshmipathi Senthilkumar 
Published: March 2024

Abstract
Density Functional Theory (DFT) was employed to investigate the sensing behavior of the neurotransmitter dopamine (DA) when interacting with OH-functionalized copper phthalocyanines (CuPCs) and copper phthalocyanines coadsorbed with iodine (CuIPc), both in gaseous and aqueous media. The study revealed that CuIPc demonstrates a superior capacity for detecting dopamine molecules compared to CuPc. Within these complexes, hydrogen bonds and coordination bonds were observed, with hydrogen bonds playing a pivotal role in the dopamine adsorption process. The enhanced electrical conductivity of CuPc sheets after iodine adsorption, along with the high adsorption energy of the iodine-coadsorbed CuPc/DA complexes, underscores the significance of iodine in this context. It is noteworthy that the utilization of iodine significantly enhances the sensing response for dopamine. In summary, copper phthalocyanine coadsorbed with iodine emerges as a promising material for dopamine sensors, offering possibilities for further advancements in this field.
File Chunking Towards On-Chain Storage: A Blockchain-Based Data Preservation Framework
Authors: Author Muhammed Tmeizeh , Rodríguez-Domínguez Carlos , Hurtado María Visitación 
Published: March 2024

Abstract
The growing popularity of the most current wave of decentralized systems, powered by blockchain technology, which act as data vaults and preserve data, ensures that, once stored, it stays preserved, considered to be one of the most promising safe and immutable storage methods. The authors of this research suggest an on-chain storage framework that stores files inside blockchain transactions using file transforming, chunking, and encoding techniques. This study investigates the performance of on-chain file storage using a simulated network blockchain environment. Test files of varying sizes were deployed. Performance metrics, including consumed time in chunking, encoding, and distributing chunks among block transactions, were measured and analyzed. An analysis of the collected data was conducted to assess the framework's performance. The result showed that selecting the appropriate chunk size significantly influences the overall performance of the system. We also explored the implications of our findings and offered suggestions for improving performance within the framework.
Unlocking the potential of bio-inspired bioinks: A collective breakthrough in mammalian tissue bioprinting
Authors: Marquette Christophe A. , Chastagnier Laura , Sousa Benjamin Da , Chocarro-Wrona Carlos , Courtial Edwin-Joffrey , Rae Elea , Thomann Céline , Carre Albane , Essayan Lucie , Pasuch Ana J. , Mosnier Alizée , Devillard Chloé , Petiot Emma , Lemarié Lucas , Matera Eva-Laure , Simoes Meigge , Dumontet Charles , Martin Cristina Cuella , Pechtimaldjian Léa , Pécheur Eve-Isabelle , Maguer-Satta Véronique , Michelet Maude , Plissonnier Marie-Laure , Archer Fabienne , Moreau Karen , Dufaud Marjorie , Zaupa Cécile , Balloul Jean-Marc , Pruvost Quentin , Dauphin Thibaud , Mosser Mathilde , Pragnère Sarah 
Published: March 2024

Abstract

The composition of soft tissues in mammals can be simplified as approximately 60–65% water, 16% protein, 16% fat, 1% carbohydrate, and trillions of cells. This report brings together the collaborative efforts of 10 research groups over the past five years, all dedicated to producing mammalian tissues through extrusion-based bioprinting. What unified these studies was a common approach, with a shared bioink composition consisting of gelatin, alginate, and fibrinogen, and a post-printing consolidation strategy involving transglutaminase crosslinking, calcium chelation, and thrombin-mediated fibrin production. By consolidating the findings of these studies, it was conclusively demonstrated that bioprinting and culturing all 19 cells tested from 14 different organs was indeed achievable. These remarkable outcomes were attributed not only to the bio-inspired nature of the common bioink but also to its unique rheological properties, such as significant shear-thinning and a sufficiently high static yield stress. The majority of these cells exhibited behaviours consistent with their natural in vivo environments. Clearly identifiable microstructures and organizations showcased intricate morphogenesis mechanisms resulting in the formation of micro-tubules, micro-vessels, and micro-acini. It is now evident that microextrusion bioprinting, especially when using bio-inspired bioink formulations, represents a promising avenue for generating a wide range of mammalian soft tissues.