bluuebunny/crossref_metadata_2025_split huggingface dataset:
An integrated framework for sustainable retrofitting of existing university buildings
Authors: Ahmed Eman Khalaf Allah , Dewidar Khaled M. , El-Hakeem Youssef Abd , Guirguis Marianne Nabil 
Published: November 2024

Abstract

Energy consumption is a global problem facing the world. According to the latest studies, and there is a great opportunity of reduction of the carbon dioxide emissions by re-considering the existing non-residential buildings, such as educational, commercial, and administrative facilities. This study investigates the concepts of sustainable retrofitting of existing university buildings. A framework for sustainable retrofitting of university buildings is developed. The framework illustrates the workflow including the different phases of retrofitting, and the possible choices for optimizing energy consumption within the different systems of university buildings. Thus, reaching a step towards green buildings by working on the existing built environment, not only new construction projects.
Laga Ecosystem, Species Entanglements and the Risk of Zoonotic Disease Transmission: A Multi-Site, Multi-Method Ethnographic Study
Authors: Omia Dalmas , Oketch Dismas , Njoroge Ruth , Ngere Isaac , Gachohi John , Waiguru Samuel , Magarre Abdulai G. , Khamadi Samoel Ashimosi , Nuismer Scott L , Njeru John Mwaniki , Bodha Boku , Nyaga Nazaria , Njaanake Humphrey , Jaoko Walter , Njenga Kariuki , Osoro Eric 
Published: November 2024

Abstract

Dry riverbeds, also called Iaga, are a complex ecosystem of multispecies interactions between livestock, humans, microorganisms, and their environment. Despite laga’s One Health entanglement of species and environment, few studies have explored the risks of transmission of diseases through direct herd-herd or herd-human contact or indirect contact with fomites surrounding the laga. This study focuses on ethnographic and epidemiological investigations on lagas within Kenya. The study deploys qualitative multimethod-walking interviews, in-depth interviews, key informant interviews, focus group discussions and observations to collect the data from Marsabit and Kajiado Counties in Kenya. Results point to the comingling of infected and healthy herds, cross-livestock species mixing, sharing of watering troughs, and feeding dogs placental and parturition materials at the herd level. The human transmission risks include non-protective parturition assistance, the use of camel urine as an antiseptic substance, humans sharing animal-watering troughs, and consuming non-processed milk. Further, the fomites comprise contaminated excreta, infected placental materials on laga stones, deposition of infected aborted fetuses on the laga body, and bacteria in the sand that end up ingested or inhaled as dust during dry seasons. The study concludes that intensified water insecurity due to climate variability will deepen multispecies interactions at the laga given that it holds a lifeline in drylands for pastoralists, hence, heightening brucellosis transmission risks. The study's results recommend a reinvention of brucellosis preventive measures that consider the pathogen flux within laga systems and multispecies interactions. Such an approach should consider the multidimensional-clinical, environmental, and cultural co-production of solutions where preventive behaviors are prioritized.
DeepPlant: An Accurate Cross-Species 5mC Detection Tool for Oxford Nanopore Sequencing in Plants
Authors: Xiao Chuan-Le , Chen He-Xu , Liu Zhen-Dong , Bai Xin , Wu Bo , Yao Hui-Cong , Chen Ying , Chi Wei , Cheng Liang 
Published: November 2024

Abstract

Nanopore sequencing enables comprehensive detection of 5-methylcytosine (5mC), particularly in transposable elements and centromeric regions. However, CHH methylation detection in plants is limited by the scarcity of high-methylation positive samples, reducing generalization across species. Dorado, the only tool for plant 5mC detection on the R10.4 platform, lacks extensive species testing. To address this, we reanalyzed bisulfite sequencing (BS-seq) data to screen species with abundant high-methylation CHH sites, generating new datasets that cover diverse 9-mer motifs. We developed DeepPlant, a deep learning model incorporating both Bi-LSTM and Transformer architectures, which significantly improves CHH detection accuracy and performs well for CpG and CHG motifs. Evaluated across species, DeepPlant achieved high whole-genome methylation frequency correlations (0.705 to 0.881) with BS-seq data on CHH motifs, improved by 14.0% to 117.6% compared to Dorado. DeepPlant also demonstrated superior single-molecule accuracy, F1-score, and stability, offering strong generalization for plant epigenetics research.
Blind deblurring of color anti-counterfeiting QR codes based on graphical guidance
Authors: Wang Tianyu , Zheng Hong , Xiao Zhenhua , Yang Jianfeng , Tao Tao 
Published: November 2024

Abstract

The utilization of QR codes in commodity anti-counterfeiting is a prevalent phenomenon. Their traceability via smartphones represents an effective authentication method. However, the captured codes are susceptible to misjudgment due to the influence of blur. To address the above issue, this paper proposes an innovative and efficient blind deblurring optimization method. The method first uses the multi-channel pulse enhancement technique to denoise and the spectral double-feature prior to detect blur. Then, the minimum brightness difference prior and the edge gradient prior are defined, and the code is partitioned into several sub-regions based on graphical guidance. Priors are integrated as constraints in both the maximum a posteriori estimation framework and the maximum likelihood estimation framework to estimate the blur kernel for each sub-region. After applying blur kernels to the corresponding sub-regions, a deblurring operation is performed. Finally, the deblurred sub-regions are stitched together to reconstruct a clear code. Experimental results demonstrate that the proposed method significantly improves the deblurring effect and reduces computation time, providing a novel technical approach to enhance the quality and recognition accuracy of code. The proposed method, as presented in this paper, can be generalized and applied to the deblurring of QR codes in a variety of contexts, including identity verification, product identification, medicine traceability, and food safety.
Molecular targets and mechanisms of "Radix Polygalae" in treating Alzheimer's disease based on network pharmacology methods and molecular docking analysis
Authors: Wang Yifan , Zhu Jingwen , Wang Shaoqiang , Zhang Zhe , Zhou Jihong , Zhao Yawu 
Published: November 2024

Abstract

Alzheimer’s disease (AD), the most common cause of dementia, is an irreversible and fatal degenerative disorder of the central nervous system. Radix Polygalae is a Chinese medicinal widely applied in the treatment of AD. The mechanism and target of Radix Polygalae in the treatment of AD were explored using network pharmacology and molecular docking methods. In this study, the TCMDatabase@Taiwan database, BATMAN-TCM database, and Chemistry database were searched to determine the chemical components in Radix Polygalae and the target genes involved in AD treatment. A “medicinal-active ingredient-target” network of Radix Polygalae treating AD was constructed.Kyoto Encyclopedia of genes and genomes (KEGG) analysis was conducted to determine the involved signaling pathways and molecular docking was conducted to determine the components in Radix Polygalae with best binding ability with core targets. Norharman, onjixanthone I, norhyoscyamine, 1-hydroxy-3,7-dimethoxyxanthone, tenuifoliside D might be the key components of Radix Polygalae in the treatment of AD. EGFR, MAPK1, MAP2K1, GRIN2A, HTR2C, and JAK1 were core target genes involved in the treatment by Radix Polygalae for AD. According to KEGG analysis, phosphatidylinositol-3-kinase (PI3K)/Akt signaling pathway, and calcium signaling pathway were the major pathways involved in the treatment of AD by Radix Polygalae. Molecular docking showed that norharman, onjixanthone I, norhyoscyamine, 1-hydroxy-3,7-dimethoxyxanthone, and tenuifoliside D have good binding abilities with core targets. The mechanism of Radix Polygalae in AD treatment is in a multi-component and multi-target manner through reversing the activity of acetylcholinesterase, regulating Ca2+ channels, relieving neuroinflammation, inhibiting amyloid-β (Aβ) aggregation and tau phosphorylation. The results of this study might provide theoretical guidance for researchers to further explore the mechanism of Radix Polygalae in the treatment of AD in vivo and in vitro.
Impacts of Community Health Reform on Rational Use of Drug in China: A Controlled Interrupted Time Series
Authors: LI zhen 
Published: November 2024

Abstract

Objective:To evaluate impacts of Baoan district Community Health Reform program in Shenzhen, Guangdong Province on reducing inappropriate use of antibiotics. This reform was designed to change physicians’ prescription behaviors.
Methods: Statistical significance and effect size were calculated by segmented regression analysis of interrupted time series with a comparison group. Data of antibiotic use before and after the intervention on 1st June 2009 was collected between 1st October 2008 and 31th May 2010.
Results: Community Health Reform program resulted in decreasing antibiotic use by 0.84%(P=0.0038) per month.
Conclusion: Baoan district Community Health Reform constrains the abuse of antibiotics effectively. Appropriate drug use was prompted by this reform.
Diversity and distribution of the coral-associated endolithic algae Ostreobium in the Southwestern Caribbean
Authors: Rodríguez-Bermúdez Adriana Patricia , Ramírez-Palma Shaliny , Giraldo-Vaca Juan Sebastián , Diaz-Puerto Laura María , Sanchez Juan 
Published: November 2024

Abstract

The euendolithic algae Ostreobium (Bryopsidales: Chlorophyta) is an important microbioeroder responsible for tropical coral reefs dissolution. In the current context of widespread decline of coral reefs in the Caribbean, a better understanding of the associations that exist between bioeroders and corals is needed to accurately anticipate the future of these ecosystems. Here, we survey the diversity of the microbioeroder Ostreobium (rbcL marker) and its distribution in the most common families in the Southwestern Caribbean corals within a gradient of reef depth. The Ostreobium rbcL clades were found to be linked with corals belonging to the Agariciidae, Merulinidae, Poritiidae, Siderastreidae, Astroconeiidae, Montastreidae, Mussidae, and Pocilloporidae families. The individuals selected for the current investigation are categorized as members of either the "complex" or "robust" coral groups. Our findings indicate that solely the corals categorized as 'complex' exhibit close memberships with the three Ostreobium superclades. In general, the dispersion of Ostreobium within the Southwestern Caribbean region exhibits differentiation among various coral groups and is influenced by geographical and bathymetric factors. The diversity of Ostreobiumis primarily composed of ecological specialists, wherein most clades are linked to particular hosts. Conversely, only a few ecological generalists are associated with multiple hosts, akin to zooxanthellae. Ostreobium exhibits greater diversity on encrusting corals such as agariciids, which are among the most abundant and widespread coral species in the Caribbean.
BEACON - Automated Aberration Correction for Scanning Transmission Electron Microscopy using Bayesian Optimization
Authors: Pattison Alexander James , Ribet Stephanie , Noack Marcus , Varnavides Georgios , Park Kunwoo , Kirkland Earl , Park Jungwon , Ophus Colin , Ercius Peter 
Published: November 2024

Abstract

Aberration correction is an important aspect of modern high-resolution scanning transmission electron microscopy. Most methods of aligning aberration correctors require specialized sample regions and are unsuitable for fine-tuning aberrations without interrupting on-going experiments. Here, we present an automated method of correcting first- and second-order aberrations called BEACON which uses Bayesian optimization of the normalized image variance to efficiently determine the optimal corrector settings. We demonstrate its use on gold nanoparticles and a hafnium dioxide thin film showing its versatility in nano- and atomic-scale experiments. BEACON can correct all first- and second-order aberrations simultaneously to achieve an initial alignment and first- and second-order aberrations independently for fine alignment. Ptychographic reconstructions are used to demonstrate an improvement in probe shape and a reduction in the target aberration.
Photocatalytic degradation of organic pollutants using yttrium and copper co-doped nickel aluminate
Authors: Nair Anju , Kurian Ancy , Sumathi Shanmugam 
Published: November 2024

Abstract

Spinel nickel aluminate was synthesized using the sol-gel process and citric acid as a capping agent. Parent nickel aluminate, yttrium-doped nickel aluminate, and yttrium-copper co-doped nickel aluminate were synthesized and calcined at 800 °C for 4 hours. The synthesized spinels were used to enhance photocatalytic activity and can convert harmful organic dyes into simpler, less harmful molecules like CO2 and H2O. The synthesized nanoparticles were characterized by various techniques, including XRD, UV-DRS, XPS, and SEM-EDAX. X-ray diffraction analysis helped in understanding the purity of phases, the lattice parameter, and the determination of average crystallite size. UV-DRS gave vital information about electronic property, i.e., band gap, by utilizing the Tauc plot method. The morphology of the nanoparticles was characterized by SEM (scanning electron microscopy), whereas elemental confirmation in the nickel aluminate lattice was carried out by EDAX. XPS provided information on the oxidation states of the ions present in the spinels. Photocatalysis was conducted against the organic dye crystal violet. Yttrium-doped nickel aluminate exhibited a higher photocatalytic activity in comparison to undoped nickel aluminate. This suggested improved activity in photocatalysis due to the insertion of yttrium into the lattice. Parameters such as pH, the effect of catalyst dosage, and the effect of concentration of dye were analyzed.
Understanding Hesitancy: Barriers to HR-HPV Self-Sampling Among Women at High Risk for Cervical Cancer in Latvia
Authors: Berza Natalija , Stars Inese , Zodzika Jana , Kivite-Urtane Anda , Pärna Kersti , Uuskula Anneli , Makejeva Dana 
Published: November 2024

Abstract

Background High-risk human papillomavirus (HR-HPV) is the leading cause of cervical cancer. Screening is one of the main cornerstones of cervical cancer prevention. Self-sampling for HR-HPV is introduced to improve patient involvement in the screening program. The study aimed to understand the hesitancy and barriers to self-sampling among high-risk women who are at risk of developing cervical cancer. Methods This qualitative study employed semi-structured telephone interviews to explore the factors behind the refusal of HR-HPV self-sampling among twelve purposefully selected women (aged 25–49) with abnormal Pap smears recruited from a colposcopy clinic within a major urban university hospital in Riga, Latvia. The interviews, conducted between June and September 2022, were transcribed verbatim and subjected to inductive content analysis. Results Results yielded four major inductively constructed categories: (1) ‘Confusion, anxiety, and other inconveniences’ describes the main aspects of patient situational anxiety, fears, and confusion during the visit to a healthcare facility that resulted in the refusal to take the HR-HPV self-sampling; (2) ‘Health literacy challenges’ highlights patients' lack of knowledge and understanding of cervical cancer causation and screening role in the early detection of cervical cancer; (3) ‘Doctor does and knows the best’ explores patients' doubts and fears about the accuracy and comparability of HR-HPV self-sampling with conventional screening methods; (4) ‘Circumstances that can promote taking the HR-HPV self-sampling’ illuminates the circumstances that can encourage women to take the HR-HPV self-sampling. Conclusions A complex interplay of contextual factors contributed to the hesitancy of HR-HPV self-sampling in the group of women at high risk for cervical cancer, highlighting that women's decision-making regarding this procedure goes beyond its purely clinical aspects.
Hybrid Proxy Model for Extrapolating Cumulative Oil Production with Different Locations: Polynomial-Fast Marching Method
Authors: Rajaa Mohammed , Alhaleem Ayad 
Published: November 2024

Abstract

Well-placement optimization is a complex problem critical for maximizing hydrocarbon recovery while minimizing operational costs. The traditional methods that are used for evaluation have drawbacks such as full-physics simulation while accurate is computationally expensive, reduced-physics proxy models are less accurate, deep learning as a proxy model needs many run simulations, and Tree-based machine learning models like Extreme Gradient Boosting (XGBoost), although efficient, struggle with extrapolation, limiting their utility in scenarios where predictions extend beyond training data. To address these limitations, we apply a new hybrid approach that combines the Fast Marching Method (FMM) and Polynomial-XGBoost (linear-based) to enhance the extrapolation capabilities as an evaluation tool for well placement problems. Our approach incorporates polynomial features to capture non-linear relationships between reservoir properties (e.g., permeability, porosity) and cumulative oil production. We evaluated our approach using the SPE10 model, focusing on both interpolation and extrapolation datasets. Cross-validation results demonstrate that the proposed model significantly outperforms traditional XGBoost, achieving an average R² of 94% compared to 88% for XGBoost in interpolation scenarios. In extrapolation tests, our model showed an average R² of 83.9%, well above XGBoost's 56.3%, highlighting its superior ability to predict well performance beyond the training data range. This study shows that the integration of FMM and Polynomial-XGBoost offers a more reliable and computationally efficient alternative to existing proxy models, particularly in complex reservoirs. Our hybrid model significant improvement and shows promising results as a proxy model.
Impact of the Eigenvalue Approach on the Model of Moore-Gibson-Thompson During Photo-Acoustic Semiconducting Excitation
Authors: El-Dali A. , Othman Mohamed I.A. , Gamal Esraa M. , Alkhatib Soliman 
Published: November 2024

Abstract

Regarding this investigation, Moore-Gibson-Thompson (MGT) model was developed with the impact of acoustic pressure. This research's light is spotted on semiconductor material undergoing thermoacoustic and optical deformation in the context of theory of photo-thermoelasticity (PTE). The governing equations are formulated using a modified photo-excitation model, where (MGT) equation represents the heat conduction during processes of optical transport. This model represents coupling between plasma, thermal, mechanical-elastic, and acoustic wave propagation. Analytical solutions for the main physical quantities are obtainedutilizing Laplace transform method combined with the vector-matrix differential equation method. Boundary conditions for the acoustic, plasma, and thermo-mechanical effects are applied at the outer surface of the medium. Numerical inversion of Laplace transforms is performed to obtain complete space-time solutions for primary fields. Silicon is utilized as a representative semi-conductor material for numerical computations, with the results presented graphically and discussed with various influencing parameters.
Social Agency and Psychosocial Recovery: A Resilient Perspective on the Social Determinants of Mental Health in a Community Affected by the Colombian Armed Conflict
Authors: Bedoya-Gallego Diana Marcela , Gomez Daniel Gomez , Gallego Efrén Castaño 
Published: November 2024

Abstract

Background: Armed conflict in Colombia has severely affectedthe mental health of individuals and communities. Factors such as poverty, inequality and social exclusion have exacerbated consequences such as depression and posttraumaticstress disorder. However, a perspective that transcends the mental deficit paradigm in addressing the social determinants of health in these contexts allows us to recognize how political and social conditions determine people's physical and mental health and the need to strengthen their skills and capacities.
The Colectivo Tejiendo Memoria, composed of older adult victims of the conflict, is a remarkable example of the capacity for organization and psychosocial recovery through collective memory and civil resistance in the province of Sonsón, Antioquia.
Methods: A qualitative approach based on the action without harm (ASD) methodological framework was used to implement photo elucidation workshops and mediate group interviews to capture the memories and experiences of the participants. The contentanalysis allowed codifying the actions, agents and knowledge generated by the group around psychosocial recovery and community agency.
Results: This study reveals that the collective has played a crucial role in the preservation of historical memory, the promotion of emotional well-being and the generation of social agency; its actions have allowed the creation of safe spaces for psychosocial recovery through rituals, commemorations and the visibility of the victims. This promoted their consolidation as political actors who manage and sustain memory and reparation in their community.
Conclusions: The experience of the Colectivo Tejiendo Memoria offers an innovative approach to the social determinants of mental health in the context of armed conflict, highlighting the capacity of communities to manage their own recovery through practices of resistance and solidarity.
New palynostratigraphic data from the Kungurian (Cisuralian) of the Athesian District (East Southern Alps)
Authors: Spina Amalia , Marchetti Lorenzo , Diez José B. , Capezzuoli Enrico , Ronchi Ausonio 
Published: November 2024

Abstract

At the end of the Cisuralian (early Permian), the Kungurian stage represents a key phase in plant evolution and the development of associated sporomorphs. Yet during the Artinskian, a noticeable shift begins, with vegetation and palynofloras transitioning from those suited to humid conditions to those better adapted to arid environments, a trend that persists through the Kungurian. Despite its importance, biostratigraphic studies of Euramerican palynofloras from this time remain scarce. This study addresses the gap by examining the palynological content of the Guncina Formation in the Eastern Southern Alps, which contains exceptionally well-preserved sporomorphs. Detailed analysis of these microfossils sheds new light on the composition, diversity, and stratigraphic distribution of Kungurian palynofloras also characterized by an older first appearance of the bisaccate pollen Lueckisporites virkkiae and Falcisporites stabilis than that one reported in the literature. The findings from this research contribute to refining the biostratigraphic framework of the period, enhancing our understanding of the Permian palynological record in the Euramerican region.