bluuebunny/crossref_metadata_2025_split huggingface dataset:
Repurposing existing skeletal spatial structure (SkS) system designs using the Field Information Modeling (FIM) framework for generative decision-support in future construction projects
Authors: Maalek Reza , Maalek Shahrokh 
Published: November 2023

AbstractSkeletal spatial structure (SkS) systems are modular systems which have shown promise to support mass customization, and sustainability in construction. SkS have been used extensively in the reconstruction efforts since World War II, particularly to build geometrically flexible and free-form structures. By employing advanced digital engineering and construction practices, the existing SkS designs may be repurposed to generate new optimal designs that satisfy current construction demands of contemporary societies. To this end, this study investigated the application of point cloud processing using the Field Information Modeling (FIM) framework for the digital documentation and generative redesign of existing SkS systems. Three new algorithms were proposed to (i) expand FIM to include generative decision-support; (ii) generate as-built building information modeling (BIM) for SkS; and (iii) modularize SkS designs with repeating patterns for optimal production and supply chain management. These algorithms incorporated a host of new AI-inspired methods, including support vector machine (SVM) for decision support; Bayesian optimization for neighborhood definition; Bayesian Gaussian mixture clustering for modularization; and Monte Carlo stochastic multi-criteria decision making (MCDM) for selection of the top Pareto front solutions obtained by the non-dominant sorting Genetic Algorithm (NSGA II). The algorithms were tested and validated on four real-world point cloud datasets to solve two generative modeling problems, namely, engineering design optimization and facility location optimization. It was observed that the proposed Bayesian neighborhood definition outperformed particle swarm and uniform sampling by 34% and 27%, respectively. The proposed SVM-based linear feature detection outperformed k-means and spectral clustering by 56% and 9%, respectively. Finally, the NSGA II algorithm combined with the stochastic MCDM produced diverse “top four” solutions based on project-specific criteria. The results indicate promise for future utilization of the framework to produce training datasets for generative adversarial networks that generate new designs based only on stakeholder requirements.
Study on roadway layout and surrounding rock control of isolated island panel
Authors: Shi Lei , Zhang Jiao , Lu Weiyong , Lv Dong , Sun Xiang 
Published: November 2023

AbstractDuring the re-mining of historical residual coal resources, the stress environment is complex, the surrounding rock conditions are bad, the mining roadway is significantly affected by ground pressure, the layout is difficult, and the safety is poor. Taking the recovery of isolated island coal pillar in 4# coal seam as the research background, based on the difference in the distribution morphology of the goaf on both sides of the isolated island coal pillar, the stress and failure law of the isolated island panel boundary are studied by numerical simulation method. (1) The peak stress difference of multiple goaf boundaries on both sides of the isolated island coal pillar is between 0.18 and 4.51 MPa. The peak stress is affected by the change of the length of the roof “cantilever beam” at the stopping line of the goaf, so that the peak stress of the goaf boundary is periodic. (2) The high stress is mainly concentrated in the center of the pillar. The peak stress at the end of each pillar is 35–40 MPa. The coal pillar bears high stress, and the stress zone of the original rock moves to the end of the coal pillar. (3) There is a plastic zone of 8–20 m at the corner of the end of each coal pillar. On the basis of the stress zone and failure zone distribution of the goaf boundary on both sides of the isolated island panel, the roadway layout of the isolated island panel is determined, that is, the air-return roadway of the isolated island panel is arranged at random, and the width of the isolated island coal pillar d1 is selected as 10 m. The transport roadway is arranged straight, and the transport roadway of the isolated island panel is in the width section area of the goaf X4103. The width d1 of the isolated island coal pillar is selected to be 8 m, and the length d5–d7 of the mining roadway layout in the width of the coal pillar is 24 m. The roadway of isolated island panel is divided into 4 areas for support control, and the drilling pressure relief technology is proposed for high stress roadway. Through the field monitoring data, it can be seen that the mining roadway can meet the requirements of isolated island coal pillar recovery, which provides reference for the layout and control of abandoned coal roadway in this mine and other mines.
Exploration of PVC@SiO2 nanostructure for adsorption of methylene blue via using quartz crystal microbalance technology
Authors: Ali Safaa S. , Hassan Gamal K. , Ismail Sameh H. , Ebnalwaled A. A. , Mohamed Gehad G. , Hafez M. 
Published: November 2023

AbstractMethylene blue (MB) dye is considered a well-known dye in many industries and the low concentration of MB is considered very polluted for all environment if it discharged without any treatment. For that reason, many researchers used advanced technologies for removing MB such as the electrochemical methods that considered very simple and give rapid response. Considering these aspects, a novel quartz crystal microbalance nanosensors based on different concentrations of PVC@SiO2 were designed for real-time adsorption of MB dye in the aqueous streams at different pHs and different temperatures. The characterization results of PVC@SiO2 showed that the PVC@SiO2 have synthesized in spherical shape. The performance of the designed QCM-Based PVC@SiO2 nanosensors were examined by the QCM technique. The sensitivity of designed nanosensors was evaluated at constant concentration of MB (10 mg/L) at different pHs (2, 7 and 11) and temperatures (20 °C, 25 °C, and 30 °C). From the experimental, the best concentration of PVC@SiO2 was 3% for adsorbed 9.99 mg of cationic methylene blue at pH 11 and temperature 20 °C in only 5.6 min.
Evaluation of experiences of the patients discharged from the COVID-19 intensive care unit: a qualitative research
Authors: Torun Serap , Bulmuş Esra , Bilgin Osman 
Published: November 2023

AbstractMaking arrangements by learning how intensive care patients feel due to a disease called as fatal worldwide can make it easier for patients to cope with the disease. For this reason, it is important for healthcare professionals to understand the patients who have been infected and discharged during the COVID-19 pandemic. The experiences of the patients may affect the perspective of the disease and cause different changes in the perception of it. This study, which was conducted based on this idea, aimed to examine the intensive care experiences of patients discharged from the COVID-19 intensive care unit. This study used a phenomenological qualitative approach. A semi-structured interview form was used to interview 23 patients discharged from the COVID-19 intensive care unit. The findings were reported on the basis of consolidated criteria for reporting qualitative research. In line with the data obtained from the interviews, five main themes and eight subthemes were created. The main themes were classified as emotional expressions (positive/negative) related to intensive care experience, coping methods, analogies (for COVID-19 and nurses) and attitudes towards the care provided (respiration, nutrition, excretion and privacy, sleep, communication). In this study, the participants experienced negative emotions such as fear of death/anxiety, sadness, loneliness, and helplessness during their intensive care experiences. Most of them stated that they tried to cope with prayer and communication. The participants compared COVID-19with deadly and respiratory-inhibiting tools and diseases. They expressed difficulties in breathing, nutrition, excretion and privacy, sleep and communication related to the care provided. In this process, they made positive analogies for the nurses who spent the most time with them, such as angels and family members.
Protective effect of uridine on atrial fibrillation: a Mendelian randomisation study
Authors: Xu Xintian , Zhang Xiaoyu , Cheng Shiyao , Li Qinglang , Chen Cai , Ouyang Mao 
Published: November 2023

AbstractUridine, a pyrimidine nucleoside, is crucial in the synthesis of metabolites. According to observational studies, a higher plasma uridine level is associated with a lower risk of atrial fibrillation (AF). However, the casual relationship between uridine and AF is still unknown. In this study, we used the Mendelian randomisation (MR) approach to explore causality. Three genetic variants associated with uridine were identified from the Metabolomics GWAS server (7824 participants); summary-level datasets associated with AF were acquired from a genome-wide association study (GWAS) meta-analysis with 1,030,836 European participants (60,620 AF cases). We duplicated the MR analyses using datasets from AF HRC studies and the FinnGen Consortium, and then conducted a meta-analysis which combined the main results. The risk of AF was significantly associated with the genetically determined plasma uridine level (odds ratio [OR] 0.27; 95% confidence interval [CI] 0.16, 0.47; p = 2.39 × 10–6). The association remained consistent in the meta-analysis of the various datasets (OR 0.27; 95% CI 0.17, 0.42; p = 1.34 × 10–8). In conclusion, the plasma uridine level is inversely associated with the risk of AF. Raising the plasma uridine level may have prophylactic potential against AF.
Climate influence on compound solar and wind droughts in Australia
Authors: Richardson D. , Pitman A. J. , Ridder N. N. 
Published: November 2023

AbstractSolar photovoltaic and wind power are central to Australia’s renewable energy future, implying an energy sector vulnerable to weather and climate variability. Alignment of weather systems and the influence of large-scale climate modes of variability risks widespread reductions in solar and wind resources, and could induce grid-wide impacts. We therefore systematically analyse the relationship between compound solar radiation and wind speed droughts with weather systems and climate modes of variability over multiple time scales. We find that compound solar and wind droughts occur most frequently in winter, affecting at least five significant energy-producing regions simultaneously on 10% of days. The associated weather systems vary by season and by drought type, although widespread cloud cover and anticyclonic circulation patterns are common features. Indices of major climate modes are not strong predictors of grid-wide droughts, and are typically within one standard deviation of the mean during seasons with the most widespread events. However, the spatial imprints of the teleconnections display strong regional variations, with drought frequencies varying by more than ten days per season between positive and negative phases of climate modes in some regions. The spatial variability of these teleconnection patterns suggests that droughts in one region may be offset by increased resource in another. Our work highlights the opportunity for minimising the impact of energy production variability by utilising weather and climate intelligence. Exploiting the spatial variability associated with daily weather systems and the seasonal influence of climate modes could help build a more climate-resilient renewables-dominated energy system.
Combined large-scale tropical and subtropical forcing on the severe 2019–2022 drought in South America
Authors: Geirinhas J. L. , Russo A. C. , Libonati R. , Miralles D. G. , Ramos A. M. , Gimeno L. , Trigo R. M. 
Published: November 2023

AbstractChanges in the frequency and magnitude of dry spells have been recorded over the past few decades due to an intensification of the global water cycle. A long-term soil drying trend resulting from a joint contribution of natural decadal variability in precipitation levels and increasing temperatures, predisposed central-east South America (CESA) to experience during 2019–2022 a period of outstanding soil desiccation. Flash droughts led to large areas (~100.000$${{km}}^{2}$$

km

2

) in CESA covered by record-breaking soil dryness. April 2020 witnessed the most severe conditions, when over 30% of the region experienced negative soil moisture anomalies larger than two standard deviations. Internal variability, particularly El Niño–Southern Oscillation, explained the dynamical forcing of this extreme drought. Large precipitation deficits and enhanced evaporation in CESA resulted from a coupled tropical and subtropical forcing associated to pronounced changes in the normal Walker and Hadley Cells’ circulation and to the establishment of a Rossby wave extending from west south Pacific towards South America. These findings highlight the intricate interplay between different mechanisms in the occurrence of climate extremes, stressing the need for an adequate representation of the dynamical processes associated with daily-to-multiyear timescales in climate models.
The impact of the land-to-sea transition on evolutionary integration and modularity of the pinniped backbone
Authors: Esteban Juan Miguel , Martín-Serra Alberto , Pérez-Ramos Alejandro , Mulot Baptiste , Jones Katrina , Figueirido Borja 
Published: November 2023

AbstractIn this study, we investigate how the terrestrial-aquatic transition influenced patterns of axial integration and modularity in response to the secondary adaptation to a marine lifestyle. We use 3D geometric morphometrics to quantify shape covariation among presacral vertebrae in pinnipeds (Carnivora; Pinnipedia) and to compare with patterns of axial integration and modularity in their close terrestrial relatives. Our results indicate that the vertebral column of pinnipeds has experienced a decrease in the strength of integration among all presacral vertebrae when compared to terrestrial carnivores (=fissipeds). However, separate integration analyses among the speciose Otariidae (i.e., sea lions and fur seals) and Phocidae (i.e., true seals) also suggests the presence of different axial organizations in these two groups of crown pinnipeds. While phocids present a set of integrated “thoracic” vertebrae, the presacral vertebrae of otariids are characterized by the absence of any set of vertebrae with high integration. We hypothesize that these differences could be linked to their specific modes of aquatic locomotion –i.e., pelvic vs pectoral oscillation. Our results provide evidence that the vertebral column of pinnipeds has been reorganized from the pattern observed in fissipeds but is more complex than a simple “homogenization” of the modular pattern of their close terrestrial relatives.
Lung Segmentation of Chest Radiograph Using Circular Window Based Local Contrast Thresholding (CWLCT) and Adaptive Median Outlier (CWAMO)
Authors: Kanade Dnyaneshwar , Helonde Jagdish , Burade Prakash , Nikose Mangesh 
Published: November 2023

Certain chest illnesses, such as TB, adenocarcinoma, squamous cell carcinoma, large cell carcinoma, atelectasis, etc., can be diagnosed in chest radiographs, and the development of a CAD system relies in part on accurate lung segmentation. In order to partition the lungs in chest radiographs, this work introduces an unsupervised learning approach based on a circular window and local thresholding. The procedure involves pre-processing, a preliminary estimate of the lung field, and the elimination of noise. Images are initially scaled down to 1024x1024 and enhanced using adaptive histogram equalization. Then chest radiographs are binarized using the proposed method. Based on the geometrical and special characteristics, lungs are separated from the chest radiographs. The final step in picture segmentation is the use of morphological processes. Local thresholding, omitting extraneous body parts, filling in gaps, and filtering regions based on their attributes all contribute to preliminary estimates of the lung field.Morphological processes are used as a means of eliminating background noise. A public bone shadow eliminated JSRT dataset consisting of 247 chest x-rays is used to measure the performance of the proposed method. The effectiveness of the proposed method results’ performance is evaluated by comparing it with Active Shape Model (ASM) based lung segmentation for various performance metrics such as F-score, overlap percentage, accuracy rate, sensitivity, specificity, and precision rates. All the parameters for the proposed method are over and above 90%. Our investigations indicate that the suggested method is an unsupervised learning approach that does not require any training.
Bilan de la surveillance des avortements équins par le Réseau d’épidémiosurveillance en pathologie équine (RESPE)
Authors: Lupo Coralie , Pillon Clément , Bruyas Jean-François , Marcillaud-Pitel Christel , Léon-Seck Albertine 
Published: November 2023

Le Réseau d’épidémiosurveillance en pathologie équine (RESPE) surveille les avortements équins présumés infectieux depuis 2009 pour détecter précocement un cas ou un foyer, afin de rapidement mettre en place des mesures de gestion et limiter l’impact sur la santé animale et sur l’économie de la filière équine française. Quatre maladies contagieuses abortives d’intérêt collectif sont surveillées : l’artérite virale équine, les infections par l’herpèsvirus équin 1 ou 4 et la leptospirose.
Entre 2009 et 2022, 522 vétérinaires sentinelles ont déclaré 2 411 avortements survenus dans des structures équestres majoritairement d’élevage, ayant un effectif moyen de 51 équidés. Les races Pur-Sang, Trotteur Français et Selle Français étaient majoritairement représentées. Ces avortements sont survenus en moyenne au cours du 8e mois de gestation. La présence d’un organisme pathogène abortif a été mise en évidence dans seulement 6,0 % des prélèvements analysés; l’herpèsvirus 1 a été majoritairement détecté. Les trois quarts des avortements ont été déclarés dans les deux jours suivant leur détection par le détenteur de la jument. Cette réactivité est satisfaisante pour détecter précocement un foyer d’avortement infectieux et mettre rapidement en place des mesures de gestion, le cas échéant.
Le RESPE est associé à un projet de recherche visant à évaluer l’apport des méthodes de séquençage haut débit dans l’amélioration de la surveillance des infections abortives des équidés en France.
Feng Shui fürs kleine Büro
Authors: Witt Christiane 
Published: November 2023

SummaryFeng Shui beruht auf Erkenntnissen aus der Beobachtung der Natur und entfaltet nicht nur in der Wohnung, sondern auch in Büros oder Praxisräumen eine harmonisierende Wirkung, indem es eine Verbindung von Menschen und Umgebung herstellt, in der stagnierende Energien vermieden werden. Was Feng Shui ist, welche Schulen und Methoden es gibt und worauf Feng Shui bei der Gestaltung von Arbeitsräumen abzielt, wird im Beitrag skizziert, weitverbreitete Mythen und Irrtümer über Feng Shui werden ausgeräumt. Feng Shui ist keine Heilmethode, aber die Anwendung seiner Grundprinzipien unterstützt die Produktivität, das Wohlbefinden und die Gesundheit der Menschen. Das kommt sowohl Heilpraktikern als auch Patienten zugute: Die mit Feng Shui geschaffene Umgebung kann die Wirkung der darin angebotenen Therapien und Behandlungen verstärken.
Developing a Quality Improvement Implementation Taxonomy for Organizational Employee Wellness Initiatives
Authors: Gao Grace , Vaclavik Lindsay , Jeffery Alvin D. , Koch Erica C. , Schafer Katherine , Cimiotti Jeannie P. , Pathak Neha , Duva Ingrid , Martin Christie L. , Simpson Roy L. 
Published: November 2023

Abstract
Background Standardized taxonomies (STs) facilitate knowledge representation and semantic interoperability within health care provision and research. However, a gap exists in capturing knowledge representation to classify, quantify, qualify, and codify the intersection of evidence and quality improvement (QI) implementation. This interprofessional case report leverages a novel semantic and ontological approach to bridge this gap.
Objectives This report had two objectives. First, it aimed to synthesize implementation barrier and facilitator data from employee wellness QI initiatives across Veteran Affairs health care systems through a semantic and ontological approach. Second, it introduced an original framework of this use-case-based taxonomy on implementation barriers and facilitators within a QI process.
Methods We synthesized terms from combined datasets of all-site implementation barriers and facilitators through QI cause-and-effect analysis and qualitative thematic analysis. We developed the Quality Improvement and Implementation Taxonomy (QIIT) classification scheme to categorize synthesized terms and structure. This framework employed a semantic and ontological approach. It was built upon existing terms and models from the QI Plan, Do, Study, Act phases, the Consolidated Framework for Implementation Research domains, and the fishbone cause-and-effect categories.
Results The QIIT followed a hierarchical and relational classification scheme. Its taxonomy was linked to four QI Phases, five Implementing Domains, and six Conceptual Determinants modified by customizable Descriptors and Binary or Likert Attribute Scales.
Conclusion This case report introduces a novel approach to standardize the process and taxonomy to describe evidence translation to QI implementation barriers and facilitators. This classification scheme reduces redundancy and allows semantic agreements on concepts and ontological knowledge representation. Integrating existing taxonomies and models enhances the efficiency of reusing well-developed taxonomies and relationship modeling among constructs. Ultimately, employing STs helps generate comparable and sharable QI evaluations for forecast, leading to sustainable implementation with clinically informed innovative solutions.
Impact of demonstration zone policy on agricultural science and technology innovation: evidence from China
Authors: Wang Nannan , Cui Dengfeng 
Published: November 2023

AbstractAs driving forces in agricultural development, science and technology, along with innovation in agricultural science and technology, are crucial to food security and socioeconomic development. The National Modern Agricultural Demonstration Zone is a major initiative of the Chinese government to promote the modernization of agriculture with Chinese characteristics and aims to improve the level of regional agricultural development through policy guidance and financial support. However, few studies have explored the impact of the National Modern Agricultural Demonstration Zone on agricultural science and technology innovation from a policy perspective. In this context, this study is based on the panel data of 696 regions in China from 2007 to 2017. Difference-in-differences is used to study the impact and mechanism of the National Modern Agricultural Demonstration Zone on agricultural science and technology innovation. The results show that the National Modern Agricultural Demonstration Zone policy can significantly improve the level of agricultural science and technology innovation, and the impact effect is more significant in regions with high fiscal autonomy, western regions, and those with better transportation infrastructure. Mechanism analysis shows that the National Modern Agricultural Demonstration Zone enhances agricultural science and technology innovation mainly through increasing financial resource allocation, improving financial support for agriculture, and increasing human capital. This study evaluates the policy effects, provides theoretical support for the public value of the National Modern Agricultural Demonstration Zone, and offers lessons for agricultural science and technology innovation in similar economies in China and worldwide.