bluuebunny/crossref_metadata_2025_split huggingface dataset:
DIGITALESCAPE Project. Aerial Remote Sensing, HBIM and Archaeology for the Preservation and Dissemination of the Cultural Heritage at Risk in the Sierra Sur and Sierra Morena Regions.
Authors: Villarejo Antonio J. Ortiz , Barrado José M. Delgado 
Published: May 2023

The province of Jaén (Andalusia, Spain), despite being declared the European territory with the largest number of defensive constructions (castles, fortifications, etc.), has few conservation plans, with many remains included on the Red List of Spanish Heritage ly-ing abandoned. This poses a challenge for landscape conservation and the optimal use of the province’s tourism potential. In this paper we present the early implementation of an ongoing methodological approach designed to alleviate this situation. It takes advantage of data from the Sentinel 2A and 2B satellites, HBIM, RPAS, GIS and fieldwork that will be applied across five archaeological case studies. It has been tested for the first time in the village of Magaña. Three main objectives and phases of this methodological approach have been designed:
1.	Preparation of an Environmental Risk Chart with which to answer such ques-tions as “How have climate change, anthropic alterations and environmental characteris-tics affected the state of conservation of certain heritage sites?”
2.	Preparation of HBIM models to foster monitorisation and conservation policies for the main archaeological remains and improving their protection based on digital and technological tools.
3.	Building a Smart Tourism App for mobile devices aimed at promoting smart tourism by digitalising and virtualising tourist itineraries and archaeological remains.
Finally, public administrations will be apprised of the need to implement a conservation policy for cultural assets and their surroundings in a simple, quick and cost-effective man-ner.
Risk Factors and Prophylactic Measures for Shoulder Periprosthetic Joint Infection After Primary Arthroplasty
Authors: Dhillon Ekamjeet S. , Yao Jie J. , Jurgensmeier Kevin , Schiffman Corey J. , Whitson Anastasia J. , Matsen Frederick A. , Hsu Jason E. 
Published: May 2023

Background:
Our understanding of the risk factors for and effectiveness of prophylactic measures against shoulder periprosthetic joint infections (PJIs) continues to evolve. This study’s objective was to study patient characteristics, procedural characteristics, and various infection prophylactic measures and their effects on the risk of shoulder PJI after primary arthroplasty.

Methods:
Nine hundred and ninety-eight patients in a longitudinally maintained, single-institution shoulder arthroplasty database who had at least 2 years of clinical follow-up were retrospectively reviewed. Patient and procedural characteristics were collected. Perioperative variables, including the use of intraoperative antibiotics, topical antibiotics, antibiotic-containing irrigation solution, and a postoperative drain, were collected. Patients who developed shoulder PJI were compared with those without shoulder PJI to identify any association with patient or procedural characteristics.

Results:
Of the 998 patients, 20 (2.0%) met the criteria for shoulder PJI. Cutibacterium was identified as the causative organism in 19 (95%) of 20 culture-positive reoperations. On univariate analysis, patients in the PJI group were more likely to be younger (p < 0.001), to be male (p = 0.014), to have commercial insurance (p = 0.003), to use alcohol (p = 0.048), and to have had a ream-and-run or hemiarthroplasty procedure (p = 0.005). On multivariable analysis, older age was independently associated with a lower risk of PJI (odds ratio [OR] per year = 0.95; 95% confidence interval [CI], 0.91 to 0.99; p = 0.014). Reverse total shoulder arthroplasty (OR, 10.32; 95% CI, 0.92 to 116.33; p = 0.059) and hemiarthroplasty (OR, 8.59; 95% CI, 0.86.30 to 85.50; p = 0.067) trended toward a higher risk of PJI.

Conclusions:
Younger patients and patients undergoing procedures other than anatomic total shoulder arthroplasty are at higher risk for shoulder PJI. The majority of culture-positive reoperations were a result of Cutibacterium species.

Level of Evidence:
Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Organic Carbon Distribution in Cambrian Deposits of the cis-Yenisei Subbasin
Authors: Kontorovich A.E. , Kostyreva E.A. 
Published: May 2023

Abstract
—The study considers the distribution of organic carbon in different formations and facies of Cambrian age identified in the cis-Yenisei subbasin. Two groups of depositional environments were recognized in the deepwater perioceanic and epicontinental basins, which accumulated sediments with elevated and sometimes anomalously high concentrations of planktonic and benthic organic matter. These are 1) local centers in the Tommotian (Oksym Formation) and Botomian stages of the lower Cambrian, Mayan (Elogui and Pudzhelga formations) and Ayusokkanian (Kondes Formation) stages of the middle Cambrian; 2) regional Kuonamka horizon, which is composed of Toyonian and Amgian deposits and occurs along the margins of the Siberian Platform; it is represented by the Inikan and Kuonamka formations in the east of the Siberian Platform and by the Paidugina Formation in the study area. The study shows that the organic matter has undergone a high degree of transformation and reached the apocatagenesis grade. The results of the study assume that the hydrocarbon generation intensity was high in the Cambrian formations of the cis-Yenisei subbasin in the geological past.
Approaching the Challenge of Multi-phase, Multi-hazard Volcanic Impact Assessment Through the Lens of Systemic Risk: Application to Taranaki Mounga
Authors: Weir Alana , Wilson Thomas M. , Bebbington Mark S. , Beaven Sarah , Gordon Teresa , Campbell-Smart Craig , Mead Stuart , Williams James H. , Fairclough Roger 
Published: May 2023

Abstract

Effective volcanic impact and risk assessment underpins effective volcanic disaster risk management. Yet contemporary volcanic risk assessments face a number of challenges, including delineating hazard and impact sequences, and identifying and quantifying systemic risks. A more holistic approach to impact assessment is required, which incorporates the complex, multi-hazard nature of volcanic eruptions and the dynamic nature of vulnerability before, during and after a volcanic event. Addressing this need requires a multidisciplinary, integrated approach, involving scientists and stakeholders to co-develop decision-support tools that are scientifically credible and operationally relevant to provide a foundation for robust, evidence-based risk reduction decisions. This study presents a dynamic, longitudinal impact assessment framework for multi-phase, multi-hazard volcanic events, and applies the framework to interdependent critical infrastructure networks in the Taranaki region of Aotearoa New Zealand, where Taranaki Mounga volcano has a high likelihood of producing a multi-phase explosive eruption within the next 50 years. In the framework, multi-phase scenarios temporally alternate multi-hazard footprints with risk reduction opportunities. Thus direct and cascading impacts, and any risk management actions, carry through to the next phase of activity. The framework forms a testbed for more targeted mitigation and response planning, and allows the investigation of optimal intervention timing for mitigation strategies during an evolving eruption. Using ‘risk management’ scenarios, we find the timing of mitigation intervention to be crucial in reducing disaster losses associated with volcanic activity. This is particularly apparent in indirect, systemic losses that cascade from direct damage to infrastructure assets. This novel, dynamic impact assessment approach addresses the increasing end-user need for impact-based decision-support tools that inform robust response and resilience planning.
Real-Time Optimization Strategy of the Alcoholic Fermentation Process Using Metamodeling
Authors: Morais Maria Suenia , Araujo Antonio 
Published: May 2023

Abstract
In a world in constant growth, the productive processes in which humanity manages to obtain its goods and consumer products, is undergoing advances every day, in this the real-time optimization of processes, comes to aggregate and innovate this advance, in order to to make processes more versatile and able to meet the needs of the manufacturing units to serve an increasingly demanding market with such varying behavior, in the most attractive way from an economic point of view. Real-time optimization is a performance optimization technique that is based on mathematical models to adhere to the most assertive operating conditions of a process and expand the profitability of an industrial plant. Enabling operating facilities to respond efficiently and effectively to ever-changing conditions of feed rates and composition, equipment and dynamic processing economics. A software is responsible for crossing the variables, executing the calculations and carrying out the performance simulations to induce new setpoints to the automation systems, however it is up to the plant operators to decide whether the software suggestions will be used or not. Through this, this project aims to develop strategies for optimizing fermentation processes by exploring metamodeling, including Multiple Linear Regression and Kriging, with a more robust Real Time Optimization for industrial application, providing optimal operation of processes in real time. The process would be simulated in Simulink and metamodeled in MATLAB®, always at the optimum point. The purpose of this work initially aims to obtain an algorithm (through metamodeling), which allows an increase in the resolution speed and efficiency of problems proposed through a case study, through the application of a real-time optimizer with a running frequency high enough to allow its application. The application of the methodology to the studied system allows us to conclude that “Nomad” has become the best optimizer of this process, as it presented good yield results with a Q^2 < 0.97, and with a fast processing time compared to the others.
Efficacy of fluralaner, a long acting acaricide against three species of vector mosquitoes (Diptera: Culicidae) under laboratory conditions – a potential candidate for drug based vector control
Authors: Shah Harish Kumar , Sriniva Vaishnavi , Venkatesan Shakila , Balakrishnan Vijayakumar , Candassamy Sadanandane , Mathew Nisha , Kumar Ashwani , Sreedha Vijesh 
Published: May 2023

Abstract
Vector control is a key intervention against mosquito borne diseases such as dengue, chikungunya and malaria. However, conventional methods have several limitations and alternate strategies are in urgent need. Vector control with endectocides or systemic insecticides such as ivermectin is emerging as a novel strategy. The short half-life of ivermectin is a limiting factor for its application as a mass therapy tool for vector control. Isoxazoline compounds like fluralaner, a class of veterinary acaricides with long half-life hold promise as alternatives to ivermectin. These drugs persist in the animal body at detectable blood levels up to three months or more, after a one-time oral administration. However, information about their mosquitocidal effect is very much limited. In the current study, we explored the efficacy of fluralaner against laboratory reared vector mosquitoes of Aedes aegypti (Linnaeus, 1762), Anopheles stephensi (Liston, 1901) and Culex quinquefasciatus (Say, 1823) (Diptera: Culicidae) by blood feeding. Fluralaner showed significant mosquitocidal effect with the estimated 24 h LC50 values in the range of 24.04–49.82 ng/mL for the three different mosquito species tested. Effects on life history characteristics (fecundity, egg hatch success, immature development and adult emergence success) were also observed at drug concentrations nearing 24 h LC50. At higher drug concentration of 250 ng/mL, significant knock down effect was observed within 1–2 h post blood feeding. Potent mosquitocidal effect coupled with its long half-life makes fluralaner an excellent candidate for drug based vector control strategies especially in the context of “One Health” approach. In this regard, further studies on the safety aspects of fluralaner in humans are desirable.
Substantial water retained early in Earth’s deep mantle
Authors: Du Zhixue , Yang Ya-Nan , Li Yuan , Lu Wenhua 
Published: May 2023

Abstract
Water in Earth’s deep mantle may have been acquired early1−7, when deep magma oceans that extend to Earth’s lower mantle, possibly to the core-mantle boundary, were prevalent in the aftermath of energetic impacts8,9. However, how early water was retained and distributed during crystallization of magma oceans remains unclear. This is primarily determined by partitioning of water between mantle mineral and silicate melt. Bridgmanite is the first and dominant mineral crystallized from deep magma oceans10. Yet early attempts are restricted to bridgmanite at the topmost lower mantle condition or minerals in the upper mantle and transition zone11. Here we use laser-heated diamond anvil cell to simulate relevant magma ocean conditions and investigate partitioning of water between bridgmanite and melt. Our data show that partitioning of water in bridgmanite over silicate melt is significantly higher than previous estimates and strongly dependent on temperature. Given plausible magma ocean crystallization scenarios, appreciable amounts of water may be retained in the lower mantle following the crystallization of a deep magma ocean. Circulation of such early, deep, and likely primordial water in Earth’s interior could modulate mantle dynamics and facilitate the transition of early Earth to a habitable planet.
3D parallel numerical simulation of bedding-containing shale based on CT technology and digital image processing
Authors: Wu Zhonghu , Yang Yuhan , Zuo Yujun , Meng Xiangrui , Wang Wentao , Lei Wenli 
Published: May 2023

Abstract
The aim of this study is to investigate the effect of bedding inclination on the tensile strength and damage mechanism of shales. In this paper, we obtained images of shale specimens from the Lower Cambrian Niutitang Formation in the northern part of Guizhou Province by CT scanning, reconstructed 3D numerical models of shale at 0°, 30°, 45°, 60° and 90° bedding inclination angles using RFPA-3D finite element software, and performed direct tensile simulation tests. The test results show that the anisotropic nature of the tensile strength of the shale exhibits significant. The tensile strength reaches a minimum value of 2.97 MPa at θ = 0° and a maximum value of 5.27 MPa at θ = 90°. Shale specimens exhibit two modes of damage under uniaxial tension: a mode of damage by tension along the bedding and a mode of damage by compound tension along the bedding and the shale matrix. The spatial distribution of the acoustic emission points better reflects the macroscopic damage pattern of the specimen, and the acoustic emission counts show a single-peak distribution. The research is an important reference for shale reservoir hydraulic fracture sprouting, extension prediction and recovery enhancement.
Genome-wide investigation of the Nuclear factor Y gene family in Ginger (Zingiber officinale Roscoe): evolution and expression profiling during development and abiotic stresses
Authors: Li Hong-Lei , Wu Xiaoli , Gong Min , Xia Maoqin , Zhang Wenlin , Chen Zhiduan , Xing Hai-Tao 
Published: May 2023

Abstract

Nuclear factor Y (NF-Y) plays a vital role in numerous biological processes as well as responses to biotic and abiotic stresses, its function in ginger (Zingiber officinale Roscoe), a significant medicinal and dietary vegetable, remains largely unexplored. While the NF-Y family has been thoroughly identified in many plant species, and the function of individual NF-Y TFs has been characterized, there is a paucity of knowledge concerning this family in ginger. In this study, the ginger genome was utilized to identify 36 NF-Y genes (10 ZoNF-YAs, 16 ZoNF-YBs, and 10 ZoNF-YCs), which were renamed based on their chromosomal distribution. Ten distinct motifs were identified within the ZoNF-Y genes, with certain unique motifs being vital for gene function. Through analyzing chromosomal location, gene structure, conserved protein motifs, and gene duplication events, the evolutionary characteristics of these ZoNF-Y genes were more fully understood. Detailed analysis of ZoNF-Y gene expression patterns across various tissues, performed through RNA-seq and qRT-PCR, revealed their significant role in regulating ginger rhizome and flower growth and development. Additionally, the ZoNF-Y family genes that responded to abiotic stresses were also identified. The ZoNF-Y family in ginger was identified for the first time in the present study. Our result contributes to research on evolutionary characteristics and better understanding the molecular basis for development and abiotic stress response, as well as further functional characterization of ZoNF-Y genes with an aim of ginger crop improvement.
Effect of matrix Self-Healing on the Bond-Slip Behavior of Micro Steel Fibers in Ultra High-Performance Concrete
Authors: ALOBAIDI SALAM , Al-Obaidi Salam , He Shan , Schlangen Erik , Ferrara Liberato 
Published: May 2023

Abstract
This study investigates the bond-slip behavior of micro steel fibers embedded into an Ultra High-Performance Concrete (UHPC) matrix as affected by the self-healing of the same matrix in different exposure conditions. The UHPC matrix contains a crystalline admixture as promoter of the autogenous self-healing specially added to enhance the durability in the cracked state. To the aforesaid purpose, some samples were partially pre-damaged with controlled preload (fiber pre-slip at different levels) and subjected to one-month exposure in 3.5% NaCl aqueous solution and in tap water to study the fiber corrosion, if any, and the effects of self-healing; after that, they were subjected to a pull-out test, to be compared with the behavior of analogous non pre-slipped samples undergoing the same curing history. Moreover, some samples were cured in the chloride solution, intended to simulate a marine environment, to study the effect of marine curing on the pull-out behavior of steel fiber. The steel fiber corrosion and self-healing products attached on the surface of steel fiber were analyzed via the Scanning Electron Microscopy (SEM), and Energy -Dispersive Spectroscopy (EDS). The results indicate that the new healed particles formed on the highly damaged fiber-matrix interface significantly enhance the friction phase of the bond-slip behavior and result into a significant residual capacity compared to non-pre-slipped specimens. On the other hand, the self-healing effect in specimens subjected to low damage pre-slip contributed more to the chemical adhesion region of the bond-slip behavior. Owning to the dense microstructure of the matrix, curing in 3.5% NaCl aqueous solution was not found to significantly affect the pull-out resistance as compared for the samples cured in tap water.
Generation Of Dense Urban Features Using Conditional GAN
Authors: Nihal Anurag , Kumar Vaibhav 
Published: May 2023

Abstract
This paper discusses the use of conditional Generative Adversarial Networks (GANs) to generate dense urban features in satellite images and evaluate their effectiveness in semantic segmentation tasks. High-resolution true-color satellite imagery of Mumbai, obtained from Pleiades-1A at a 0.5m resolution, is utilized for the study. The proposed Multiple Discriminator pix2pix (MD-pix2pix) model, which employs multiple discriminators and a modified training procedure, is introduced to generate realistic satellite images. The performance of the MD-pix2pix model is compared to the traditional pix2pix model using a mix dataset of real and generated satellite images. The synthesized satellite images are assessed for their effectiveness in semantic segmentation tasks using various CNN models, including VGG16-UNet, MobileNetV2-UNet, and DeepLabV3+. The study aims to overcome the limitations of existing datasets that do not include informal settlements, such as slum areas, which are common in many cities. The results indicate that the MD-pix2pix model produces more realistic satellite images with greater variability in vegetation type, slum arrangements, and built-ups than the traditional pix2pix model. The synthetically generated satellite images are also effective in semantic segmentation tasks, with better segmentation accuracy achieved using the MD-pix2pix generated images for computationally less expensive architectures such as MobileNetV2-UNet. This study highlights the potential of GANs to generate realistic satellite images for urban feature mapping and monitoring applications.
Prevalence and risk factors of malnutrition according to GLIM criteria in patients with hepatocellular carcinoma: a single-center cross-sectional study
Authors: Tan Shengqiang , Jiang Jie , Qiu Liulin , Liang Yaohao , Meng Jianyi , Xiang Bangde 
Published: May 2023

Abstract
Aim: Malnutrition is common in hepatocellular carcinoma (HCC). The study aimed to evaluate and compare the diagnostic criteria for identifying malnutrition in HCC patients, including Nutrition Risk Screening 2002 (NRS2002), scored Patient-Generated Subjective Global Assessment (PG-SGA), and Global Leadership Initiative on Malnutrition (GLIM) Criteria, Additionally, we aimed to identify risk factors associated with malnutrition using the GLIM Criteria.
Methods: A cross-sectional study was conducted on 207 HCC patients, and nutritional screening/assessment results and blood samples were gathered within 72 hours of admission. Kappa values were used to evaluate the performance of the screening tools. Logistic regression analyses were performed to determine the clinical parameters associated with malnutrition as identified by the GLIM criteria.
Results: According to NRS2002, 30.4% of participants were at risk of malnutrition. GLIM criteria and PG-SGA diagnosed malnutrition in 41.1% and 54.6% of participants, respectively. The GLIM criteria accurately detected malnutrition (75.2% accuracy) and non-malnutrition (95.7% accuracy) compared to PG-SGA. Age, Child-Pugh score, anemia, and ascites were significantly associated with malnutrition in multivariate logistic regression.
Conclusion: The GLIM criteria are a valuable tool for diagnosing malnutrition in HCC patients, with NRS2002 and PG-SGA as complementary options. Understanding the risk factors for malnutrition can inform timely interventions to improve patient outcomes.