bluuebunny/crossref_metadata_2025 huggingface dataset:
Uniportal Video-Assisted Thoracoscopic Anatomic Lung Resection after Neoadjuvant Chemotherapy for Lung Cancer: A Case-Matched Analysis
Authors: Andolfi Marco , Meacci Elisa , Salati Michele , Xiumè Francesco , Roncon Alberto , Guiducci Gian Marco , Tiberi Michela , Nanto Anna Chiara , Nachira Dania , Nocera Adriana , Calabrese Giuseppe , Congedo Maria Teresa , Inchingolo Riccardo , Margaritora Stefano , Refai Majed
Published: July 2024

Background: The advantages of video-assisted thoracic surgery (VATS) are well-recognized in several studies. However, in the cases of advanced lung cancer after neoadjuvant chemotherapy (nCT), the role of VATS is still questionable, with concerns about safety, technical feasibility, and oncological completeness. The aim of this study was to assess the impact of nCT on patients who had undergone uniportal VATS (U-VATS) anatomic lung resections for lung cancer, by comparing the short-term outcomes of patients after nCT with case-matched counterparts (treated by surgery alone). Methods: We performed a retrospective, comparative study enrolling 927 patients (nCT: 60; non-nCT:867) who underwent U-VATS anatomic lung resections from 2014 to 2020 in two centers. Data were collected in a shared database with standardized variables’ definition. Propensity score matching using 15 baseline preoperative patients’ characteristics was performed in order to minimize selection-confounding factors between the two groups, which then were directly compared in terms of perioperative outcomes. Results: After propensity score matching, two groups of 60 patients had been defined. The nCT-group had a higher conversion rate compared to the control group (13.3% vs. 0%, p = 0.003) without an increase in operation time or cardiopulmonary complications. In addition, no differences between the two groups were recorded in terms of prolonged air leaks, length of stay, and readmission. Conclusions: U-VATS after nCT is a feasible approach, showing a similar rate of cardiopulmonary complications and length of stay when compared with the control group. However, it remains a challenging surgery due to its great technical complexity as well as the clinical status of the patients.
Significance of PD-L1 and Tumor Microenvironment in Laryngeal Squamous Cell Cancer
Authors: Tudor Filip , Marijić Blažen , Babarović Emina , Hadžisejdić Ita
Published: July 2024

Background: Despite the considerable advancement in the field of medicine over recent decades, laryngeal cancer continues to be a challenge. The field of immune oncology has generated promising immunomodulation therapies and opened up new ways of treatment. Methods: Our retrospective study included 102 patients diagnosed with laryngeal squamous cell cancer (LSCC). Immunohistochemistry was used to evaluate the expression of PD-L1 and tumor microenvironment cells (CD4, CD8, CD68 and CD163). Results: PD-L1 expression showed statistically significant positive correlations with all examined tumor microenvironment cells. Patients with high CD68 and CD163 expression intratumorally (p = 0.0005 and p = 0.006, respectively) had statistically significant shorter disease-specific survival. Moreover, a statistically shorter time to recurrence was found in patients with high CD68 intratumoral and CD8 overall counts (p = 0.049 and p = 0.019, respectively). Also, high CD8 overall (>23%) and CD68 intratumoral (>2.7%) expression were statistically significant predictors of recurrence (p = 0.028, OR = 3.11 and p = 0.019, OR = 3.13, respectively). Conclusions: Higher CD68 and CD163 expression represented significantly worse prognosticators for clinical outcomes in patients with LSCC. In order to determine which LSCC patients will benefit from anti-PD-1/PD-L1 inhibitors, it is crucial to elucidate the relationship between PD-L1 expression, immune cell distribution and prognosis in LSCC patients.
Genome-Wide Methylation Patterns in Primary Uveal Melanoma: Development of MethylSig-UM, an Epigenomic Prognostic Signature to Improve Patient Stratification
Authors: Lalonde Emilie , Li Dong , Ewens Kathryn , Shields Carol L. , Ganguly Arupa
Published: July 2024

Despite studies highlighting the prognostic utility of DNA methylation in primary uveal melanoma (pUM), it has not been translated into a clinically useful tool. We sought to define a methylation signature to identify newly diagnosed individuals at high risk for developing metastasis. Methylation profiling was performed on 41 patients with pUM with stage T2–T4 and at least three years of follow-up using the Illumina Infinium HumanMethylation450K BeadChip (N = 24) and the EPIC BeadChip (N = 17). Findings were validated in the TCGA cohort with known metastatic outcome (N = 69). Differentially methylated probes were identified in patients who developed metastasis. Unsupervised consensus clustering revealed three epigenomic subtypes associated with metastasis. To identify a prognostic signature, recursive feature elimination and random forest models were utilized within repeated cross-validation iterations. The 250 most commonly selected probes comprised the final signature, named MethylSig-UM. MethylSig-UM could distinguish individuals with pUM at diagnosis who develop future metastasis with an area under the curve of ~81% in the independent validation cohort, and remained significant in Cox proportional hazard models when combined with clinical features and established genomic biomarkers. Altered expression of immune-modulating genes were detected in MethylSig-UM positive tumors, providing clues for pUM resistance to immunotherapy. The MethylSig-UM model is available to enable additional validation in larger cohort sizes including T1 tumors.
Self-Assembled Pd Nanocomposites into a Monolayer for Enhanced Sensing Performance
Authors: Navvabpour Mohammad , Adam Pierre-Michel , Jradi Safi , Akil Suzanna
Published: July 2024

To date, the advanced synthetic approaches for palladium nanoparticle-based catalysts involve multistep, toxic, and high-cost fabrication routes with low catalytic and sensing performance. In this work, we introduce a new one-shot approach to produce highly sensitive Pd nanocomposites using a large-area polymer self-assembly strategy. This synthesis method allowed us to control the Pd nanoparticle shape and to tailor their plasmonic band positions in a wide light spectral range from ~350 to ~800 nm. We thus determined the critical synthesis conditions that give rise to a ringlike morphology in a reproducible manner. No need for a reducing agent and preliminary functionalization of the surface supporting the nanoparticles upon synthesis. To the best of our knowledge, few works have demonstrated the good performance of PdNPs in sensing. Here, we have demonstrated a robust SERS response for 4-mercaptopyridine with an enhancement factor of 4.2 × 105. We were able to exceed this high value, which matches the current maximum found in the literature, by decreasing the gap distances between Pd nanorings due to the high density of hotspots and the exacerbation of the coupling effect between PdNPs. These tailored products provide new insights for the use of Pd nanomaterials in photocatalysis applications, according to the well-established catalytic performance of Pd materials obtained in this work.
Decoding Anotylus (Thomson 1859) Beetle Diversity: DNA and External Morphology Match in Área de Conservaciόn Guanacaste, Costa Rica
Authors: Underwood K. Dante , Puschendorf Robert , Bilton David T. , Hallwachs Winnie , Janzen Daniel H. , Smith M. Alex
Published: July 2024

Taxonomy underpins biological research because names are needed for comparative analysis, conservation status, and public communication. Despite this, many species remain undescribed and are therefore vulnerable and unprotected, particularly in the tropics. Neotropical Staphylinidae beetles (Coleoptera) are among the insect groups most likely to contain significant unknown and/or cryptic diversity. Here we used an integrative taxonomic framework to conduct a preliminary review of one particularly diverse genus of Staphylinidae (Anotylus) in Área de Conservaciόn Guanacaste, northwestern Costa Rica. We began by DNA barcoding novel collections and using Barcode Index Numbers (BINs) as an estimate of taxonomic diversity; we found 18 provisional new species. We augmented this genetic analysis with a morphometric analysis of adult morphological characters and found that we could differentiate most provisional species by external morphology as well as by elevation of collection. All the most abundant species could be differentiated from each other by differences in body size. One BIN included slight (~1%) genetic variation that corresponded with some morphological differentiation suggesting the existence of two species within a DNA BIN. Our results support the efficacy of DNA barcoding collections of tropical insects as an effective biodiversity estimator, one that can be used as a primer for integrative taxonomic studies using BINs as species hypotheses.
Convective Heat Transfer in PWR, BWR, CANDU, SMR, and MSR Nuclear Reactors—A Review
Authors: Sikorska Daria , Brzozowska Julia , Pawełkiewicz Agata , Psykała Mateusz , Błasiak Przemysław , Kolasiński Piotr
Published: July 2024

Nuclear reactors are very complex units in which many physical processes occur simultaneously. Efficient heat removal from the reactor core is the most important of these processes. Heat is removed from the reactor core via heat conduction, radiation, and convection. Thus, convective heat transfer and its conditions play a crucial role in the operation and safety of nuclear reactors. Convective heat transfer in nuclear reactors is a very complex process, which is dependent on many conditions and is usually described by different correlations which combine together the most important criteria numbers, such as the Nusselt, Reynolds, and Prandtl numbers. The applicability of different correlations is limited by the conditions of heat transfer in nuclear reactors. The selection of the proper correlation is very important from the reactor design accuracy and safety points of view. The objective of this novel review is to conduct a comprehensive analysis of the models and correlations which may be applied for convective heat transfer description and modeling in various types of nuclear reactors. The authors review the most important research papers related to convective heat transfer correlations which were obtained by experimental or numerical research and applied calculations and heat transfer modeling in nuclear reactors. Special focus is placed on pressurized water reactors (PWRs), boiling water reactors (BWRs), CANDU reactors, small modular reactors (SMRs), and molten salt reactors (MSRs). For each type of studied reactor, the correlations are grouped and presented in tables with their application ranges and limitations. The review results give insights into the main research directions related to convective heat transfer in nuclear reactors and set a compendium of the correlations that can be applied by engineers and scientists focused on heat transfer in nuclear reactors. Prospective research directions are also identified and suggested to address the ongoing challenges in the heat transfer modeling of present and next-generation nuclear reactors.
Hydrogen Revolution in Europe: Bibliometric Review of Industrial Hydrogen Applications for a Sustainable Future
Authors: Vergara Diego , Fernández-Arias Pablo , Lampropoulos Georgios , Antón-Sancho Álvaro
Published: July 2024

Industrial applications of hydrogen are key to the transition towards a sustainable, low-carbon economy. Hydrogen has the potential to decarbonize industrial sectors that currently rely heavily on fossil fuels. Hydrogen, with its unique and versatile properties, has several in-industrial applications that are fundamental for sustainability and energy efficiency, such as the following: (i) chemical industry; (ii) metallurgical sector; (iii) transport; (iv) energy sector; and (v) agrifood sector. The development of a bibliometric analysis of industrial hydrogen applications in Europe is crucial to understand and guide developments in this emerging field. Such an analysis can identify research trends, collaborations between institutions and countries, and the areas of greatest impact and growth. By examining the scientific literature and comparing it with final hydrogen consumption in different regions of Europe, the main actors and technologies that are driving innovation in industrial hydrogen use on the continent can be identified. The results obtained allow for an assessment of the knowledge gaps and technological challenges that need to be addressed to accelerate the uptake of hydrogen in various industrial sectors. This is essential to guide future investments and public policies towards strategic areas that maximize the economic and environmental impact of industrial hydrogen applications in Europe.
Local Energy Community to Support Hydrogen Production and Network Flexibility
Authors: Ferrara Massimiliano , Mottola Fabio , Proto Daniela , Ricca Antonio , Valenti Maria
Published: July 2024

This paper deals with the optimal scheduling of the resources of a renewable energy community, whose coordination is aimed at providing flexibility services to the electrical distribution network. The available resources are renewable generation units, battery energy storage systems, dispatchable loads, and power-to-hydrogen systems. The main purposes behind the proposed strategy are enhancement of self-consumption and hydrogen production from local resources and the maximization of the economic benefits derived from both the selling of hydrogen and the subsidies given to the community for the shared energy. The proposed approach is formulated as an economic problem accounting for the perspectives of both community members and the distribution system operator. In more detail, a mixed-integer constrained non-linear optimization problem is formulated. Technical constraints related to the resources and the power flows in the electrical grid are considered. Numerical applications allow for verifying the effectiveness of the procedure. The results show that it is possible to increase self-consumption and the production of green hydrogen while providing flexibility services through the exploitation of community resources in terms of active and reactive power support. More specifically, the application of the proposed strategy to different case studies showed that daily revenues of up to EUR 1000 for each MW of renewable energy generation installed can be obtained. This value includes the benefit obtained thanks to the provision of flexibility services, which contribute about 58% of the total.
Exploring the Feasibility of Energy Extraction from the Bedretto Tunnel in Switzerland
Authors: Halter Théo , Gholizadeh Doonechaly Nima , Notzon Adrien , Rybach Ladislaus , Hertrich Marian , Giardini Domenico
Published: July 2024

This feasibility study investigates extracting thermal energy from the Bedretto tunnel in the Swiss Alps, which benefits from subsurface heat flux and rock overburden insulation. Using the simulation software COMSOL Multiphysics, we created a numerical model of the tunnel environment to evaluate which medium between rock, air, and water serves as the most effective heat source. Our findings indicate that flowing water is the most effective heat source. Potential applications include distributing the water to nearby villages and storing remaining heat in the subsurface. Estimates indicate that the total extractable thermal energy ranges between 0.8 MWth and 1.5 MWth after reducing the water temperature to 4 °C via a heat pump. The study identifies the most suitable energy sourcing locations based on efficiency and investment costs. Circulating water to individual heat pumps in Bedretto, with the natural elevation difference, enables water transport without a pump. Cost analyses reveal that the investment in piping and heat pumps can be amortized within the equipment’s lifespan with appropriate economic models. With the same initial investments, district heating systems are viable in villages with over 30 connections. The payback periods are 10 years for 60 connections, 4.5 years for 90 connections, and immediate for 200 connections.
Analysis of Multi-Biofuel Production during Cultivation of the Green Microalga Tetraselmis subscordiformis
Authors: Dębowski Marcin , Dudek Magda , Kazimierowicz Joanna , Quattrocelli Piera , Rusanowska Paulina , Barczak Łukasz , Nowicka Anna , Zieliński Marcin
Published: July 2024

Research to date has mainly focused on the properties and efficiency of the production of selected, individual types of biofuels from microalgae biomass. There are not enough studies investigating the efficiency of the production of all energy sources synthesised by these microorganisms in a single technological cycle. The aim of this research was to determine the possibilities and efficiency of the production of hydrogen, bio-oil, and methane in the continuous cycle of processing T. subcordiformis microalgae biomass. This study showed it was feasible to produce these three energy carriers, but the production protocol adopted was not necessarily valuable from the energy gain standpoint. The production of bio-oil was found to be the least viable process, as bio-oil energy value was only 1.3 kWh/MgTS. The most valuable single process for microalgae biomass conversion turned out to be methane fermentation. The highest specific gross energy gain was found after applying a protocol combining biomass production, hydrogen biosynthesis, and subsequent methane production from T. subcordiformis biomass, which yielded a total value of 1891.4 kWh/MgTS. The direct methane fermentation of T. subcordiformis biomass enabled energy production at 1769.8 kWh/MgTS.
Adaptability Evaluation of Power Grid Planning Scheme for Novel Power System Considering Multiple Decision Psychology
Authors: Wang Yuqing , Yan Chaochen , Wang Zhaozhen , Wang Jiaxing
Published: July 2024

With a substantial fraction of renewable energy integrated into the electrical grid, the new power system urgently requires grid planning scheme displaying adaptability to different energy types and their volatility. Considering the indeterminacy of renewable energy generation output and the different attitudes of decision-makers towards its risk, this paper proposes an adaptability assessment methodology for power grid planning schemes considering multiple decision psychology. First, an evaluation indicator framework is established based on the adaptive requirements of the grid planning for novel power system, and the weights of indicators are calculated based on an improved AHP-CRITIC combination weighting method. Second, improved cumulative prospect theory (ICPT) is adopted to improve to the calculation method of the distance between the evaluation program and the positive and negative ideal programs in the GRA and TOPSIS, which effectively characterize the different decision-making psychologies, and a combination evaluation model is constructed based on a cooperative game (CG), namely, an adaptability evaluation model of grid planning schemes for novel power systems based on GRA-TOPSIS integrating CG and ICPT. Finally, the proposed model serves to evaluate grid planning schemes of three regions in China’s 14th Five-Year Plan. The evaluation results show that the adaptability of the schemes varies under different decision-making psychologies, and under the risk-aggressive and loss-sensitive decision-making psychologies, grid planning scheme of Region 1 with the greatest accommodation capacity of renewable energy is preferable.
Computing Interface Curvature from Height Functions Using Machine Learning with a Symmetry-Preserving Approach for Two-Phase Simulations
Authors: Cervone Antonio , Manservisi Sandro , Scardovelli Ruben , Sirotti Lucia
Published: July 2024

The volume of fluid (VOF) method is a popular technique for the direct numerical simulations of flows involving immiscible fluids. A discrete volume fraction field evolving in time represents the interface, in particular, to compute its geometric properties. The height function method (HF) is based on the volume fraction field, and its estimate of the interface curvature converges with second-order accuracy with grid refinement. Data-driven methods have been recently proposed as an alternative to computing the curvature, with particular consideration for a well-balanced input data set generation and symmetry preservation. In the present work, a two-layer feed-forward neural network is trained on an input data set generated from the height function data instead of the volume fraction field. The symmetries for rotations and reflections and the anti-symmetry for phase swapping have been considered to reduce the number of input parameters. The neural network can efficiently predict the local interface curvature by establishing a correlation between curvature and height function values. We compare the trained neural network to the standard height function method to assess its performance and robustness. However, it is worth noting that while the height function method scales perfectly with a quadratic slope, the machine learning prediction does not.
Novel NSTEX System Based on Ti/CuO/NC Nanothermite Doped with NTO
Authors: Polis Mateusz , Stolarczyk Agnieszka , Szydło Konrad , Lisiecka Barbara , Procek Marcin , Sławski Sebastian , Gołofit Tomasz , Hawelek Łukasz , Jarosz Tomasz
Published: July 2024

Modern energetic materials (EMs), e.g., nanothermite and NSTEX (Nanostructured Thermites and Explosive) compositions are attracting increasing research interest. In this work, we present the results of our investigation on the properties of a novel Ti/CuO nanothermite system doped with cellulose nitrate (NC) and 5-Nitro-1,2-dihydro-3H-1,2,4-triazin-3-one (NTO). In terms of safety parameters, the friction (40–>360 N), impact (40–>50 J) and laser irradiation sensitivity were determined for tested systems, which indicated tunable properties. The combustion velocity (up to 735 m/s), pressure parameters for combustion in closed vessel, thrust parameters and open-air combustion behaviour were measured. Moreover, in order to deeply study the impact of NTO on the combustion mechanism, SEM, DSC/TG and XRD analyses were conducted. The obtained results indicate that the Ti/CuO/NC/NTO system is extremely promising for future applications.
Exposure to Waste Might Decrease Relaxation: The Effects of Viewing an Open Dump in a Forest Environment on the Psychological Response of Healthy Young Adults
Authors: Bielinis Ernest , Korcz Natalia , Janeczko Emilia
Published: July 2024

Forest recreation can be successfully used for psychological relaxation and can serve as a remedy for common stress-related problems. The special form of forest recreation intended for restoration is forest bathing. These activities might be disrupted by some factors, such as viewing buildings in the forest or using a computer in nature, which interrupt psychological relaxation. One factor that might interrupt psychological relaxation is the occurrence of an open dump in the forest during an outdoor experience. To test the hypothesis that an open dump might decrease psychological relaxation, a case study using a randomized, controlled crossover design was conducted. For this purpose, two groups of healthy young adults viewed a control forest or a forest with an open dump in reverse order and filled in psychological questionnaires after each stimulus. Participants wore oblique eye patches to stop their visual stimulation before the experimental stimulation, and the physical environment was monitored. The results were analyzed using the two-way repeated measures ANOVA. The measured negative psychological indicators significantly increased after viewing the forest with waste, and the five indicators of the Profile of Mood States increased: tension–anxiety, depression–dejection, anger–hostility, fatigue, and confusion. In addition, the negative aspect of the Positive and Negative Affect Schedule increased in comparison to the control and pretest. The measured positive indicators significantly decreased after viewing the forest with waste, the positive aspect of the Positive and Negative Affect Schedule decreased, and the Restorative Outcome Scale and Subjective Vitality scores decreased (in comparison to the control and pretest). The occurrence of an open dump in the forest might interrupt a normal restorative experience in the forest by reducing psychological relaxation. Nevertheless, the mechanism of these relevancies is not known, and thus, it will be further investigated. In addition, in a future study, the size of the impact of these open dumps on normal everyday experiences should be investigated. It is proposed that different mechanisms might be responsible for these reactions; however, the aim of this study is to only measure this reaction. The identified psychological reasons for these mechanisms can be assessed in further studies.
Urea-Induced Enhancement of Hypocrellin A Synthesis in Shiraia bambusicola GDMCC 60438: Strategies and Mechanisms
Authors: Tang Yanbo , Wen Yongdi , Zhang Xiang , Gao Qian , Yu Fuqiang , Wu Zhenqiang , Tian Xiaofei
Published: July 2024

Hypocrellin A (HA) is a valuable pigment with promising applications in biotechnology and pharmaceuticals. The submerged cultivation of Shiraia bambusicola offers a strategic opportunity to enhance HA production. This study investigates the regulatory mechanisms for HA biosynthesis through urea supplementation and presents a strategy to increase HA yield. In the absence of urea, S. bambusicola (GDMCC 60438) does not synthesize HA. However, the addition of 40 g/L urea 12 h into the fermentation process results in a final HA production of 46.7 ± 8.2 mg/L. Morphological analysis reveals an optimized environment for HA synthesis, characterized by a densely intertwined and reticular hyphal structure with minute pores. RNA sequencing shows significant upregulation of genes involved in DNA repair, recombination, and metabolism. Conversely, genes related to cellular homeostasis, cell-wall chitin, and amino polysaccharide metabolism are downregulated. Urea supplementation facilitates the upregulation of amino acid metabolism and the cysteine desulfurase gene, enhancing acetyl-CoA accumulation within the mycelium and providing the necessary precursor materials for HA synthesis. Our work underscores the pivotal role of urea in regulating HA biosynthesis and proposes a practical approach to enhance HA production. The findings contribute novel insights to the fields of biotechnology for pharmaceuticals.
Integrated Aerodynamic Shape and Aero-Structural Optimization: Applications from Ahmed Body to NACA 0012 Airfoil and Wind Turbine Blades
Authors: Batay Sagidolla , Baidullayeva Aigerim , Sarsenov Erkhan , Zhao Yong , Zhou Tongming , Ng Eddie Yin Kwee , Kadylulu Taldaubek
Published: July 2024

During this research, aerodynamic shape optimization is conducted on the Ahmed body with the drag coefficient as the objective function and the ramp shape as the design variable, while aero-structural optimization is conducted on NACA 0012 to reduce the drag coefficient for the aerodynamic performance with the shape as the design variable while reducing structural mass with the thickness of the panels as the design variables. This is accomplished through a gradient-based optimization process and coupled finite element and computational fluid dynamics (CFD) solvers under fluid–structure interaction (FSI). In this study, DAFoam (Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization) and TACS (Toolkit for the Analysis of Composite Structures) are integrated to optimize the aero-structural design of an airfoil concurrently under the FSI condition, with TACS and DAFoam as coupled structural and CFD solvers integrated with a gradient-based adjoint optimization solver. One-way coupling between the fluid and structural solvers for the aero-structural interaction is adopted by using Mphys, a package that standardizes high-fidelity multiphysics problems in OpenMDAO. At the end of the paper, we compare and discuss our findings in the context of existing research, specifically highlighting previous results on the aerodynamic and aero-structural optimization of wind turbine blades.
An Efficient and Economic Approach for Producing Nanocellulose-Based Aerogel from Kapok Fiber
Authors: Hou Minjie , Wang Qi , Wang Shunyu , Yang Zeze , Deng Xuefeng , Zhao Hailong
Published: July 2024

Cellulose nanofibers (NF) were extracted from kapok fibers using TEMPO oxidation, followed by a combination of mechanical grinding and ultrasonic processing. The TEMPO-mediated oxidation significantly impacted the mechanical disintegration behavior of the kapok fibers, resulting in a high NF yield of 98%. This strategy not only improved the fibrillation efficiency but also reduced overall energy consumption during NF preparation. An ultralight and highly porous NF-based aerogel was successfully prepared using a simple ice-templating technique. It had a low density in the range of 3.5–11.2 mg cm−3, high compressional strength (160 kPa), and excellent thermal insulation performance (0.024 W m−1 K−1). After silane modification, the aerogel displayed an ultralow density of 7.9 mg cm−3, good hydrophobicity with a water contact angle of 128°, and excellent mechanical compressibility with a high recovery of 92% at 50% strain. Benefiting from the silene support structure, it showed a high oil absorptive capacity (up to 71.4 g/g for vacuum pump oil) and a remarkable oil recovery efficiency of 93% after being reused for 10 cycles. These results demonstrate that our strategy endows nanocellulose-based aerogels with rapid shape recovery and high liquid absorption capabilities.
The Memory-Keeping Daughter: Exploring Object Stories and Family Legacies from America’s Modern Wars
Authors: Grayzel Susan R.
Published: July 2024

This essay demonstrates how wartime objects can have a special resonance in families as keepers of memory, and it especially explores the role of daughters of military participants in preserving the artifacts of their veteran fathers. Using several case studies from a recent public history project collecting objects and object stories in the American southwest, it argues that a focus on daughters as caretakers of family military history offers a new way to engage with descendants’ histories by showing how the work of such women can contribute to our understanding of modern war and its legacies.
Identification and Comprehensive Analysis of circRNA-miRNA-mRNA Regulatory Networks in A2780 Cells Treated with Resveratrol
Authors: Zhu Weihua , Zhang Yuanting , Zhou Qianqian , Zhen Cheng , Huang Herong , Liu Xiaoying
Published: July 2024

Ovarian cancer (OC) is one of the most commonplace gynecological malignancies. This study explored the effects of resveratrol (RES) on OC cell proliferation and apoptosis. Proliferation activity was measured for A2780 cells treated with RES for 24 h and 48 h at concentrations of 0, 10, 25, 50, 75, 100, 150, 200, and 300 μM. RNA sequencing (RNA-seq) was performed to analyze the circular RNA (circRNA), microRNA (miRNA), and messenger RNA (mRNA) expression spectrum. The differentially expressed genes included 460 circRNAs, 1988 miRNAs, and 1671 mRNAs, and they were subjected to analyses including Gene Ontology, the Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome enrichment. We selected signaling pathways enriched in the cell processes by mRNA KEGG, comprehensively analyzed the circRNA-miRNA-mRNA regulatory network, and verified several miRNAs expressed in the regulatory network diagram using the quantitative real-time polymerase chain reaction. The data showed that the cell proliferation of A2780 cells treated with RES for 24 h or 48 h decreased with increasing concentrations of RES. The circRNA-miRNA-mRNA regulatory network that we constructed provides new insights into the ability of RES to inhibit cell proliferation and promote apoptosis in A2780 cells.
A Penalized Regression Method for Genomic Prediction Reduces Mismatch between Training and Testing Sets
Authors: Montesinos-López Osval A. , Pulido-Carrillo Cristian Daniel , Montesinos-López Abelardo , Larios Trejo Jesús Antonio , Montesinos-López José Cricelio , Agbona Afolabi , Crossa José
Published: July 2024

Genomic selection (GS) is changing plant breeding by significantly reducing the resources needed for phenotyping. However, its accuracy can be compromised by mismatches between training and testing sets, which impact efficiency when the predictive model does not adequately reflect the genetic and environmental conditions of the target population. To address this challenge, this study introduces a straightforward method using binary-Lasso regression to estimate β coefficients. In this approach, the response variable assigns 1 to testing set inputs and 0 to training set inputs. Subsequently, Lasso, Ridge, and Elastic Net regression models use the inverse of these β coefficients (in absolute values) as weights during training (WLasso, WRidge, and WElastic Net). This weighting method gives less importance to features that discriminate more between training and testing sets. The effectiveness of this method is evaluated across six datasets, demonstrating consistent improvements in terms of the normalized root mean square error. Importantly, the model’s implementation is facilitated using the glmnet library, which supports straightforward integration for weighting β coefficients.
GhWRKY40 Interacts with an Asparaginase GhAPD6 Involved in Fiber Development in Upland Cotton (Gossypium hirsutum L.)
Authors: Zhang Sujun , Cai Xiao , Wei Jingyan , Wang Haitao , Liu Cunjing , Li Xinghe , Tang Liyuan , Zhou Xiaodong , Zhang Jianhong
Published: July 2024

Fiber quality improvement is a primary goal in cotton breeding. Identification of fiber quality-related genes and understanding the underlying molecular mechanisms are essential prerequisites. Previously, studies determined that silencing the gene GhWRKY40 resulted in longer cotton fibers; however, both the underlying mechanisms and whether this transcription factor is additionally involved in the regulation of cotton fiber strength/fineness are unknown. In the current study, we verified that GhWRKY40 influences the fiber strength, fiber fineness, and fiber surface structure by using virus-induced gene silencing (VIGS). Potential proteins that may interact with the nucleus-localized GhWRKY40 were screened in a yeast two-hybrid (Y2H) nuclear-system cDNA library constructed from fibers at 0, 10, and 25 days post-anthesis (DPA) in two near-isogenic lines differing in fiber length and strength. An aspartyl protease/asparaginase-related protein, GhAPD6, was identified and confirmed by Y2H and split-luciferase complementation assays. The expression of GhAPD6 was approximately 30-fold higher in the GhWRKY40-VIGS lines at 10 DPA and aspartyl protease activity was significantly upregulated in the GhWRKY40-VIGS lines at 10–20 DPA. This study suggested that GhWRKY40 may interact with GhAPD6 to regulate fiber development in cotton. The results provide a theoretical reference for the selection and breeding of high-quality cotton fibers assisted by molecular technology.
Unmasking Elder Abuse: Depression and Dependency in the Post-Pandemic Era
Authors: Iborra-Marmolejo Isabel , Aded-Aniceto Cristina , Moret-Tatay Carmen , Bernabé-Valero Gloria , Jorques-Infante María José , Beneyto-Arrojo María José
Published: July 2024

The aim of this study was to analyze elder abuse in people over 65 years of age and its relationship with some risk factors—depression symptoms, dependency, gender and age—in the Spanish population. Methods: A battery of questionnaires was administered to a sample of 167 participants electronically (M = 72.42; SD = 6.46), including the Abbreviated Yesavage Scale to assess depression, the Katz Index for Basic Activities of Daily Living to assess dependency, and the American Medical Association and the Canadian Task Force Questionnaire to assess suspicion of abuse. Results: A prevalence of 40.72% of suspected abuse, of 5.99% of established depression, and of 1.20% of severe dependence was obtained. The prevalence of abuse was higher in the population with dependency (75%) than without dependency (37%). In the case of depression, the prevalence of abuse was 70% for people with established depression and 35.4% for people without depression. Conclusion: Women have higher rates of abuse than men, although this difference is not statistically significant. The same occurs with age. Nevertheless, having established depression and dependency are confirmed risk factors for suffering abuse.
Predatory Bacteria in the Treatment of Infectious Diseases and Beyond
Authors: Alexakis Konstantinos , Baliou Stella , Ioannou Petros
Published: July 2024

Antimicrobial resistance (AMR) is an increasing problem worldwide, with significant associated morbidity and mortality. Given the slow production of new antimicrobials, non-antimicrobial methods for treating infections with significant AMR are required. This review examines the potential of predatory bacteria to combat infectious diseases, particularly those caused by pathogens with AMR. Predatory bacteria already have well-known applications beyond medicine, such as in the food industry, biocontrol, and wastewater treatment. Regarding their potential for use in treating infections, several in vitro studies have shown their potential in eliminating various pathogens, including those resistant to multiple antibiotics, and they also suggest minimal immune stimulation and cytotoxicity by predatory bacteria. In vivo animal studies have demonstrated safety and efficacy in reducing bacterial burden in various infection models. However, results can be inconsistent, suggesting dependence on factors like the animal model and the infecting bacteria. Until now, no clinical study in humans exists, but as experience with predatory bacteria grows, future studies including clinical studies in humans could be designed to evaluate their efficacy and safety in humans, thus leading to the potential for approval of a novel method for treating infectious diseases by bacteria.
Enhancing Accessibility to Analytics Courses in Higher Education through AI, Simulation, and e-Collaborative Tools
Authors: Osorio Celia , Fuster Noelia , Chen Wenwen , Men Yangchongyi , Juan Angel A.
Published: July 2024

This paper explores how the combination of artificial intelligence, simulation, and e-collaborative (AISEC) tools can support accessibility in analytics courses within higher education. In the era of online and blended learning, addressing the diverse needs of students with varying linguistic backgrounds and analytical proficiencies poses a significant challenge. This paper discusses how the combination of AISEC tools can contribute to mitigating barriers to accessibility for students undertaking analytics courses. Through a comprehensive review of existing literature and empirical insights from practical implementations, this paper shows the synergistic benefits of using AISEC tools for facilitating interactive engagement in analytics courses. Furthermore, the manuscript outlines practical strategies and best practices derived from real-world experiences carried out in different universities in Spain, Ireland, and Portugal.
Development of a Metaverse Art Gallery of Image Chronicles (MAGIC) for Healthcare Education: A Digital Health Humanities Approach to Patients’ Medication Experiences
Authors: Yap Kevin Yi-Lwern , Ho Jayen , Toh Phylaine Shu Ting
Published: July 2024

Art therapy fosters emotional healing and growth. This process can offer healthcare professionals (HCPs) novel insights into patients’ medication experiences. We developed a Metaverse Art Gallery of Image Chronicles (MAGIC), which depicted patients’ medication experiences symbolically as hero–villain portrayals. This gallery aimed to enhance healthcare students’ learning through relatable insights into patients’ medication therapies. A character sheet was used to craft patients’ personifications of their medication experiences through an art-based narrative therapy approach. ChatGPT, NightCafe, Canva, HeyGen, and Camtasia were used to generate hero–villain portraits based on the character traits and mounted in MAGIC, which consisted of three virtual realms, each with a unique theme. Alpha-testing among sixteen Generation Z healthcare learners indicated that the content in MAGIC enabled them to understand the concepts of medication adherence (93.7%), art therapy (87.5%), and how patients related to their medications (81.3%). Perceived playfulness (rs = 0.925, p < 0.001), perceived compatibility (rs = 0.890, p < 0.001), and social norm (rs = 0.862, p < 0.001) were strongly associated with their behavioral intention to adopt MAGIC as an educational platform. The learners enjoyed their experience (6.31 ± 0.70), felt that MAGIC was interactive and engaging (6.25 ± 0.78), and had the potential to be more effective than traditional learning methods (5.94 ± 0.93). Furthermore, they would recommend it to others for their education (5.94 ± 0.85).
Enhancing Esthetics in Direct Dental Resin Composite: Investigating Surface Roughness and Color Stability
Authors: Hajdu Adrian Ioan , Dumitrescu Ramona , Balean Octavia , Lalescu Dacian Virgil , Buzatu Berivan Laura Rebeca , Bolchis Vanessa , Floare Lucian , Utu Diana , Jumanca Daniela , Galuscan Atena
Published: July 2024

Dental restorations must replicate the natural appearance of teeth while ensuring biocompatibility and durability. This study evaluated the surface characteristics and color stability of three dental composites—Herculite Ultra XRV, G-ænial A’CHORD, and Omnichroma—exposed to acidic beverages (red wine, black coffee, and Coca-Cola). Sixty disk-shaped specimens were prepared, polished, and immersed in these beverages. Surface roughness was assessed using profilometry and SEM analysis, hydrophobicity via contact angle analysis, and surface charge through streaming potential measurements. Color stability was evaluated using a spectrophotometer, and the pH levels of the solutions were recorded. Results showed that Herculite Ultra XRV had the highest mean contact angle (79.46° ± 6.52), indicating superior hydrophobicity, while Omnichroma had the lowest (64.94° ± 3.08), indicating more hydrophilicity. Significant color changes were observed, especially in black coffee, with ∆E values indicating notable discoloration. The acidic pH of the solutions increased surface roughness and color changes. Statistical analyses confirmed significant increases in surface roughness and color change for all composites, with the nanohybrid resin composite showing the greatest variability. These findings highlight the need for dental restorative materials with enhanced resistance to acidic environments to improve the longevity and esthetics of dental treatments.
Numerical Studies on the Hydrodynamic Patterns and Energy-Saving Advantages of Fish Swimming in Vortical Flows of an Upstream Cylinder
Authors: Chang Xing , Ma Bowen , Xin Jianjian
Published: July 2024

Fish in nature can extract the vortex energies from the environment to enhance their swimming performance. This paper numerically investigated the hydrodynamic characteristics and the energy-saving advantages of an undulating fish-like body behind the vortical flows generated by an upstream cylinder. The numerical model was based on a robust ghost cell immersed boundary method for the solution of incompressible flows around arbitrary complex flexible boundaries. We examined the dynamic characteristics, the swimming performance, and the wake structures of the downstream fish under different locations and diameters of the cylinder in a wide range of Strouhal numbers. It was found that the average drag coefficient was significantly reduced in the presence of the upstream cylinder, while the RMS (root mean square) lift coefficients were very close for different locations and diameters of the cylinder as well as in the fish-only case. Therefore, the downstream fish gain efficiency and thrust enhancement by capturing energies from the vortex flows, which are more significant for smaller Strouhal numbers (St). However, the swimming efficiency converges to near 0.12 at St = 1.2 for different locations and diameters of the upstream cylinder, just slightly higher than that of the fish-only case. The fish can experience the thrust in not only the von-Kármán vortex street, but also the reversed one. In addition, the fish can be situated in the extended shear layer region and the fully developed wake region dependent on the position and diameter of the upstream cylinder, leading to abundant wake modes such as the splitting, coalescing, and competing of vortices.
A Method for Defogging Sea Fog Images by Integrating Dark Channel Prior with Adaptive Sky Region Segmentation
Authors: Hu Kongchi , Zeng Qingyan , Wang Junyan , Huang Jianqing , Yuan Qi
Published: July 2024

Due to the detrimental impact of fog on image quality, dehazing maritime images is essential for applications such as safe maritime navigation, surveillance, environmental monitoring, and marine research. Traditional dehazing techniques, which are dependent on presupposed conditions, often fail to perform effectively, particularly when processing sky regions within marine fog images in which these conditions are not met. This study proposes an adaptive sky area segmentation dark channel prior to the marine image dehazing method. This study effectively addresses challenges associated with traditional marine image dehazing methods, improving dehazing results affected by bright targets in the sky area and mitigating the grayish appearance caused by the dark channel. This study uses the grayscale value of the region boundary’s grayscale discontinuity characteristics, takes the grayscale value with the least number of discontinuity areas in the grayscale histogram as a segmentation threshold adapted to the characteristics of the sea fog image to segment bright areas such as the sky, and then uses grayscale gradients to identify grayscale differences in different bright areas, accurately distinguishing boundaries between sky and non-sky areas. By comparing the area parameters, non-sky blocks are filled; this adaptively eliminates interference from other bright non-sky areas and accurately locks the sky area. Furthermore, this study proposes an enhanced dark channel prior approach that optimizes transmittance locally within sky areas and globally across the image. This is achieved using a transmittance optimization algorithm combined with guided filtering technology. The atmospheric light estimation is refined through iterative adjustments, ensuring consistency in brightness between the dehazed and original images. The image reconstruction employs calculated atmospheric light and transmittance values through an atmospheric scattering model. Finally, the use of gamma-correction technology ensures that images more accurately replicate natural colors and brightness levels. Experimental outcomes demonstrate substantial improvements in the contrast, color saturation, and visual clarity of marine fog images. Additionally, a set of foggy marine image data sets is developed for monitoring purposes. Compared with traditional dark channel prior dehazing techniques, this new approach significantly improves fog removal. This advancement enhances the clarity of images obtained from maritime equipment and effectively mitigates the risk of maritime transportation accidents.