bluuebunny/crossref_metadata_2025 huggingface dataset:
Analyzing the Shortcomings in Smart Healthcare for Remote Home Care—A Case Study of the Taiwan Market
Authors: Yang Yunqi , Lin Grace T. R.
Published: June 2024

In Taiwan, remote healthcare initially focused on telemedicine, with systematic development starting in 2007 through the “Remote Care Pilot Program” and subsequent initiatives. Significant advancements came with the “Remote Health Care Services Development Plan” in 2010, which integratedArtificial intelligence and Information and communications technologies, enhancing smart healthcare in home care. This study investigated strategic gaps in smart healthcare applications for remote home care using a mixed-methods approach, particularly the Analytic Hierarchy Process (AHP). This study identified and ranked strategic gaps, including “legal regulations”, “economic factors”, “user behavior habits”, “policy and culture”, and “environment and technology”. Findings, based on in-depth interviews with 6 experts and 16 AHP questionnaire samples, highlight “legal regulations” and “user behavior habits” as critical areas needing attention. Addressing these gaps can improve user acceptance and the effectiveness of smart healthcare applications, providing valuable insights for future research and practice in making remote home care more comprehensive and efficient.
Ownership Structure and Bank Dividend Policies: New Empirical Evidence from the Dual Banking Systems of MENA Countries
Authors: Sbai Hicham , Ed-Dafali Slimane , Meghouar Hicham , Mohiuddin Muhammad
Published: June 2024

This study investigates the relationship between ownership structures and dividend policies for 46 Islamic and 75 conventional banks from 12 MENA and Asian countries between 2012 and 2020. Logit regression is employed to estimate the regression equation, centering on the moderating impacts of the COVID-19 pandemic and national culture. Our findings remain robust as we tackle the endogeneity issue using probit and logistic regression models. Asset growth and GDP growth serve as proxies for investment opportunities. Additionally, dividend per share acts as a proxy for dividend policy. Our findings emphasize how the ownership structure impacts dividend payouts in both banking systems. We observed positive relationships between dividend payouts and foreign ownership, bank size, age, and performance. Conversely, concentration of ownership and leverage negatively influence dividend payouts. The COVID-19 pandemic directly boosts the dividend policy for conventional banks and alters the relationship between foreign ownership and distribution policy in Islamic banks. Specifically, COVID-19 interacts with foreign and state ownership to reduce dividend payouts, but concentration of ownership does not show this effect. This study furnishes evidence affirming the significance of the ownership structure in shaping the dividend payout policy within Islamic and conventional banking. The results maintain their reliability across various estimation approaches. Moreover, this study accounts for the crisis period as a moderating factor influencing dividend payments.
Studies on the Relationships between Growth and Gonad Development during First Sexual Maturation of Macrobrachium nipponense and Associated SNPs Screening
Authors: Jiang Sufei , Xie Yinxiang , Gao Zijian , Niu Yunpeng , Ma Cheng , Zhang Wenyi , Xiong Yiwei , Qiao Hui , Fu Hongtuo
Published: June 2024

In this study, we used full-sib families to investigate the association between growth and gonad development during first sexual maturation of M. nipponense. We found that male GSI was significantly negatively correlated with growth traits (p < 0.01) and there were no significant correlations between female GSI (Gonadosomatic index) and growth traits (p > 0.05). HSI (Hepatopancreas index) in both males and females showed no significant correlations with growth traits (p > 0.05). We furthermore investigated the association between the specific allele of Mn-CTS L1 polymorphism and gonad development and growth traits. In total, 35 mutation loci were screened and 16 high-quality single-nucleotide polymorphisms (SNPs) loci were obtained after validation. Four and two SNPs proved to be strongly associated with all growth traits in female and male M. nipponense separately, among which A+118T might be a candidate SNP positively associated with large growth traits. Two and one SNPs were screened, respectively, in males and females to associate with GSI, while three SNPs were detected to associate with female HSI, among which A+1379C may be applied as a potential molecular marker for gene-assisted selection to improve both reproduction speed and growth traits in M. nipponense.
Exploring the Relationship between MicroRNAs, Intratumoral Microbiota, and Breast Cancer Progression in Patients with and without Metastasis
Authors: Laborda-Illanes Aurora , Aranega-Martín Lucía , Sánchez-Alcoholado Lidia , Boutriq Soukaina , Plaza-Andrades Isaac , Peralta-Linero Jesús , Garrido Ruiz Guadalupe , Pajares-Hachero Bella , Álvarez Martina , Alba Emilio , González-González Alicia , Queipo-Ortuño María Isabel
Published: June 2024

Breast cancer (BC) continues to pose a significant burden on global cancer-related morbidity and mortality, primarily driven by metastasis. However, the combined influence of microRNAs (miRNAs) and intratumoral microbiota on BC metastasis remains largely unexplored. In this study, we aimed to elucidate the interplay between intratumoral microbiota composition, miRNA expression profiles, and their collective influence on metastasis development in BC patients by employing 16S rRNA sequencing and qPCR methodologies. Our findings revealed an increase in the expression of miR-149-5p, miR-20b-5p, and miR-342-5p in metastatic breast cancer (Met-BC) patients. The Met-BC patients exhibited heightened microbial richness and diversity, primarily attributed to diverse pathogenic bacteria. Taxonomic analysis identified several pathogenic and pro-inflammatory species enriched in Met-BC, contrasting with non-metastatic breast cancer (NonMet-BC) patients, which displayed an enrichment in potential probiotic and anti-inflammatory species. Notably, we identified and verified a baseline prognostic signature for metastasis in BC patients, with its clinical relevance further validated by its impact on overall survival. In conclusion, the observed disparities in miRNA expression and species-level bacterial abundance suggest their involvement in BC progression. The development of a prognostic signature holds promise for metastasis risk assessment, paving the way for personalized interventions and improved clinical outcomes in BC patients.
CHI3L1 as a Prognostic Biomarker and Therapeutic Target in Glioma
Authors: Zhou Jue , Zhao Dongxu , Tan Haoyuan , Lan Jin , Bao Yinghui
Published: June 2024

The role of Chitinase-3-like protein 1 (CHI3L1) in tumor progression has been gradually clarified in different kinds of solid tumors. Hence, we aim to elucidate its prognostic value for glioma. In this study, we analyzed RNA sequencing data combined with corresponding clinical information obtained from The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) databases. Differentially expressed genes (DEGs) were acquired based on CHI3L1 expression profiles and were used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Cox regression, least absolute shrinkage and selection operator (LASSO) regression methods, along with a nomogram, were employed to establish a predictive model. Compared with the corresponding non-tumor tissues, CHI3L1 expression was significantly upregulated in various types of solid tumors, correlating with poor clinical outcomes including glioma. GO analysis identified oxidative stress-related genes (ORGs) that were differentially expressed and modulated by CHI3L1, with 11 genes subsequently identified as potential predictors, using Univariate-Cox regression and LASSO regression. In addition, an index of oxidative stress-related genes (ORGI) was established, demonstrating its prognostic value in conjunction with CHI3L1 expression. The aberrant expression of CHI3L1 was proved in glioma patients through immunohistochemistry (IHC). Meanwhile, the knockdown of CHI3L1 inhibited glioma growth in vitro, and real-time Quantitative PCR (qPCR) confirmed decreased ORG expression upon CHI3L1 knockdown, suggesting the potential prognostic value of CHI3L1 as a therapeutic target for glioma.
GBA1-Associated Parkinson’s Disease Is a Distinct Entity
Authors: Skrahin Aliaksandr , Horowitz Mia , Istaiti Majdolen , Skrahina Volha , Lukas Jan , Yahalom Gilad , Cohen Mikhal E. , Revel-Vilk Shoshana , Goker-Alpan Ozlem , Becker-Cohen Michal , Hassin-Baer Sharon , Svenningsson Per , Rolfs Arndt , Zimran Ari
Published: June 2024

GBA1-associated Parkinson’s disease (GBA1-PD) is increasingly recognized as a distinct entity within the spectrum of parkinsonian disorders. This review explores the unique pathophysiological features, clinical progression, and genetic underpinnings that differentiate GBA1-PD from idiopathic Parkinson’s disease (iPD). GBA1-PD typically presents with earlier onset and more rapid progression, with a poor response to standard PD medications. It is marked by pronounced cognitive impairment and a higher burden of non-motor symptoms compared to iPD. Additionally, patients with GBA1-PD often exhibit a broader distribution of Lewy bodies within the brain, accentuating neurodegenerative processes. The pathogenesis of GBA1-PD is closely associated with mutations in the GBA1 gene, which encodes the lysosomal enzyme beta-glucocerebrosidase (GCase). In this review, we discuss two mechanisms by which GBA1 mutations contribute to disease development: ‘haploinsufficiency,’ where a single functional gene copy fails to produce a sufficient amount of GCase, and ‘gain of function,’ where the mutated GCase acquires harmful properties that directly impact cellular mechanisms for alpha-synuclein degradation, leading to alpha-synuclein aggregation and neuronal cell damage. Continued research is advancing our understanding of how these mechanisms contribute to the development and progression of GBA1-PD, with the ‘gain of function’ mechanism appearing to be the most plausible. This review also explores the implications of GBA1 mutations for therapeutic strategies, highlighting the need for early diagnosis and targeted interventions. Currently, small molecular chaperones have shown the most promising clinical results compared to other agents. This synthesis of clinical, pathological, and molecular aspects underscores the assertion that GBA1-PD is a distinct clinical and pathobiological PD phenotype, necessitating specific management and research approaches to better understand and treat this debilitating condition.
Neuroprotection by Anethum graveolens (Dill) Seeds and Its Phytocompounds in SH-SY5Y Neuroblastoma Cell Lines and Acellular Assays
Authors: Sharma Himadri , Yang Hyewon , Sharma Niti , An Seong Soo A.
Published: June 2024

Neurodegeneration diseases (NDs) are a group of complex diseases primarily characterized by progressive loss of neurons affecting mental function and movement. Oxidative stress is one of the factors contributing to the pathogenesis of NDs, including Alzheimer’s disease (AD). These reactive species disturb mitochondrial function and accelerate other undesirable conditions including tau phosphorylation, inflammation, and cell death. Therefore, preventing oxidative stress is one of the imperative methods in the treatment of NDs. To accomplish this, we prepared hexane and ethyl acetate extracts of Anethum graveolens (dill) and identified the major phyto-components (apiol, carvone, and dihydrocarvone) by GC-MS. The extracts and major bioactives were assessed for neuroprotective potential and mechanism in hydrogen peroxide-induced oxidative stress in the SH-SY5Y neuroblastoma cell model and other biochemical assays. The dill (extracts and bioactives) provided statistically significant neuroprotection from 0.1 to 30 µg/mL by mitigating ROS levels, restoring mitochondrial membrane potential, reducing lipid peroxidation, and reviving the glutathione ratio. They moderately inhibited acetylcholine esterase (IC50 dill extracts 400–500 µg/mL; carvone 275.7 µg/mL; apiole 388.3 µg/mL), displayed mild anti-Aβ1–42 fibrilization (DHC 26.6%) and good anti-oligomerization activity (>40% by dill-EA, carvone, and apiole). Such multifactorial neuroprotective displayed by dill and bioactives would help develop a safe, low-cost, and small-molecule drug for NDs.
Correction: Pannala et al. High-Throughput Transcriptomics Differentiates Toxic versus Non-Toxic Chemical Exposures Using a Rat Liver Model. Int. J. Mol. Sci. 2023, 24, 17425
Authors: Pannala Venkat R. , Balik-Meisner Michele R. , Mav Deepak , Phadke Dhiral P. , Scholl Elizabeth H. , Shah Ruchir R. , Auerbach Scott S. , Wallqvist Anders
Published: June 2024

In the original publication [...]
Long-Term In Vitro Culture Alters Gene Expression Pattern of Genes Involved in Ontological Groups Representing Cellular Processes
Authors: Zgórecka Wiktoria , Kranc Wiesława , Blatkiewicz Małgorzata , Kamiński Kacper , Farzaneh Maryam , Bryja Artur , Mozdziak Paul , Antosik Paweł , Zabel Maciej , Podhorska-Okołów Marzenna , Dzięgiel Piotr , Kempisty Bartosz , Bukowska Dorota
Published: June 2024

The oviduct provides an optimal environment for the final preparation, transport, and survival of gametes, the fertilization process, and early embryonic development. Most of the studies on reproduction are based on in vitro cell culture models because of the cell’s accessibility. It creates opportunities to explore the complexity of directly linked processes between cells. Previous studies showed a significant expression of genes responsible for cell differentiation, maturation, and development during long-term porcine oviduct epithelial cells (POECs) in vitro culture. This study aimed at establishing the transcriptomic profile and comprehensive characteristics of porcine oviduct epithelial cell in vitro cultures, to compare changes in gene expression over time and deliver information about the expression pattern of genes highlighted in specific GO groups. The oviduct cells were collected after 7, 15, and 30 days of in vitro cultivation. The transcriptomic profile of gene expression was compared to the control group (cells collected after the first day). The expression of COL1A2 and LOX was enhanced, while FGFBP1, SERPINB2, and OVGP1 were downregulated at all selected intervals of cell culture in comparison to the 24-h control (p-value < 0.05). Adding new detailed information to the reproductive biology field about the diversified transcriptome profile in POECs may create new future possibilities in infertility treatments, including assisted reproductive technique (ART) programmes, and may be a valuable tool to investigate the potential role of oviduct cells in post-ovulation events.
Sex as a Determinant of Age-Related Changes in the Brain
Authors: Burmistrov Dmitriy E. , Gudkov Sergey V. , Franceschi Claudio , Vedunova Maria V.
Published: June 2024

The notion of notable anatomical, biochemical, and behavioral distinctions within male and female brains has been a contentious topic of interest within the scientific community over several decades. Advancements in neuroimaging and molecular biological techniques have increasingly elucidated common mechanisms characterizing brain aging while also revealing disparities between sexes in these processes. Variations in cognitive functions; susceptibility to and progression of neurodegenerative conditions, notably Alzheimer’s and Parkinson’s diseases; and notable disparities in life expectancy between sexes, underscore the significance of evaluating aging within the framework of gender differences. This comprehensive review surveys contemporary literature on the restructuring of brain structures and fundamental processes unfolding in the aging brain at cellular and molecular levels, with a focus on gender distinctions. Additionally, the review delves into age-related cognitive alterations, exploring factors influencing the acceleration or deceleration of aging, with particular attention to estrogen’s hormonal support of the central nervous system.
Pre-Harvest Chemical Compounds Influence Lily (Lilium × elegans) Leaf and Flower Indigenous Phenols, Flavonoids and Gibberellic Acid Levels
Authors: AlFayad Ahmed , Othman Yahia
Published: June 2024

The global cut flower industry, including lilies, represents a highly promising investment. Therefore, improving the quantity and quality of these commercially significant flower species is crucial. The objectives of this study were to (1) evaluate the influence of different pre-harvest chemical compounds on endogenous GA3, phenol, flavonoids and total antioxidants levels on the leaf and petals parts of Longiflorum-Asiatic (Lilium × elegans cv. Cevennes, yellow) lily and to (2) assess the effect of these compound on the flower quality component. The study was conducted over two cycles in both greenhouse and laboratory settings. Lily bulbs were transplanted into 10 L pots and grown for 70 days. Treatments were applied by spraying twice with a five-day interval on the flowers still on the plants and not yet fully opened. The treatments included 8-hydroxyquinoline sulfate (8HQS) at 100, 200, and 400 mg L−1; salicylic acid (SA) at 100 and 200 mg L−1; SmartFresh™ at 1 and 2 mg L−1; Harvista™ at 150 mg L−1; GA₃ at 50 mg L−1; and a control (water). The lily stems were harvested when one of the flowering buds began to open but was not fully opened. A post-harvest assessment was conducted in the laboratory at room temperature (20 ± 2 °C). The results showed that the lily leaf had a much higher endogenous concentration of GA3 (256%) and lower concentrations of total phenols (22%), flavonoids (28%), and antioxidant activity (14%) when compared to flower petals. In addition, the foliar application of flower preservative compounds one week before harvesting significantly improved the endogenous levels of GA3, total phenols, flavonoids, and antioxidants activity, especially SmartFresh™ at rate of 1 mg L−1. In terms of flower quality, SmartFresh™, at rate of 1 mg L−1, and 8-HQS, at rate of 200, had consistently higher vase lives compared to the control treatment across the two experimental cycles. Compared to the control, SmartFresh™ (the post-harvest ethylene control) increased the vase life of lily flowers by 35% at cycle 1 and 31% at cycle 2 while 8-HQS, at rate of 200 mg L−1, increased the vase life by 21% and 15% at cycles 1 and 2, respectively. However, no significant effect was found in the petal flower color coordinates (L*, a* and b*) across the treatments. Overall, the foliar application of preservative compounds (such as SmartFresh™) at the pre-harvest stage potentially stimulates the endogenous levels of GA3, total phenols, flavonoids, and antioxidants activity, leading to better improvements in post-harvest flower quality, specifically vase life.
Intelligent Text Mining for Ontological Knowledge Graph Refinement and Patent Portfolio Analysis—Case Study of Net-Zero Data Center Innovation Management
Authors: Trappey Amy J. C. , Lin Ging-Bin , Hung Li-Ping
Published: June 2024

Ontological knowledge graph (OKG) is a well-formed visual representation that depicts knowledge organization in formal elements (e.g., entities and attributes) and their interrelationships. OKG is crucial for innovation management analysis as it provides a clear boundary to understand complex knowledge domain in detail. In the patent analysis field, it facilitates the definition of a well-defined patent portfolio, aiming for accurate and complete patent retrievals and subsequent analyses. In recent decade, the rapid growth of the information and communication technology (ICT) sector has rendered data centers (DCs) indispensable for data processing, storage, and cloud computing, while ensuring security and privacy during DC operations. However, their energy-intensive operations pose challenges to global efforts toward achieving net-zero emissions goals. In response, this research develops a formal OKG refinement process and uses DC net-zero technology OKG as case study for in-depth OKG refinement and application in patent portfolio analysis. The net-zero DC domain covers five sub-technologies. Utilizing the proposed OKG refinement and patent portfolio analysis framework, the 1801 most recent decade’s patents related to relevant “DC net-zero technologies” are retrieved and analyzed. Particularly in this case, DC colocation and server-as-a-service perspectives are the newly discovered sub-domains for OKG refinement. Furthermore, the research also adopts the technology function matrix and technology maturity to assess current and future technology development trends, providing crucial insights supporting strategic innovation management.
Fault Line Selection Method for Power Distribution Network Based on Graph Transformation and ResNet50 Model
Authors: Wang Haozhi , Shi Yuntao , Guo Wei
Published: June 2024

Low-current grounding systems are the main grounding method used in power distribution networks and belong to non-direct grounding systems. The most common fault in this type of system is a single-phase grounding fault, which may cause electrical fires and endanger personal safety. Due to the difficulty of troubleshooting, the selection of fault lines in low-current grounding systems has always been an important research topic in power system relay protection. This study proposes a new approach for fault identification of power lines based on the Euler transformation and deep learning. Firstly, the current signals of the distribution network are rapidly Fourier-transformed to obtain their frequencies for constructing reference signals. Then, the current signals are combined with the reference signals and transformed into images using Euler transformation in the complex plane. The images are then classified using a residual network model. The convolutional neural network in the model can automatically extract fault feature vectors, thus achieving the identification of faulty lines. The simulation was conducted based on the existing model, and extensive data training and testing were performed. The experimental results show that this method has good stability, fast convergence speed, and high accuracy. This technology can effectively accomplish fault identification in power distribution networks.
A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems
Authors: Kose Habib Taha , Nunez-Yanez Jose , Piechocki Robert , Pope James
Published: June 2024

Graph neural networks (GNNs) are powerful models capable of managing intricate connections in non-Euclidean data, such as social networks, physical systems, chemical structures, and communication networks. Despite their effectiveness, the large-scale and complex nature of graph data demand substantial computational resources and high performance during both training and inference stages, presenting significant challenges, particularly in the context of embedded systems. Recent studies on GNNs have investigated both software and hardware solutions to enhance computational efficiency. Earlier studies on deep neural networks (DNNs) have indicated that methods like reconfigurable hardware and quantization are beneficial in addressing these issues. Unlike DNN research, studies on efficient computational methods for GNNs are less developed and require more exploration. This survey reviews the latest developments in quantization and FPGA-based acceleration for GNNs, showcasing the capabilities of reconfigurable systems (often FPGAs) to offer customized solutions in environments marked by significant sparsity and the necessity for dynamic load management. It also emphasizes the role of quantization in reducing both computational and memory demands through the use of fixed-point arithmetic and streamlined vector formats. This paper concentrates on low-power, resource-limited devices over general hardware accelerators and reviews research applicable to embedded systems. Additionally, it provides a detailed discussion of potential research gaps, foundational knowledge, obstacles, and prospective future directions.
The Mappability of Clinical Real-World Data of Patients with Melanoma to Oncological Fast Healthcare Interoperability Resources (FHIR) Profiles: A Single-Center Interoperability Study
Authors: Swoboda Jessica , Albert Moritz , Beckmann Catharina Lena , Lodde Georg Christian , Livingstone Elisabeth , Nensa Felix , Schadendorf Dirk , Böckmann Britta
Published: June 2024

(1) Background: Tumor-specific standardized data are essential for AI-based progress in research, e.g., for predicting adverse events in patients with melanoma. Although there are oncological Fast Healthcare Interoperability Resources (FHIR) profiles, it is unclear how well these can represent malignant melanoma. (2) Methods: We created a methodology pipeline to assess to what extent an oncological FHIR profile, in combination with a standard FHIR specification, can represent a real-world data set. We extracted Electronic Health Record (EHR) data from a data platform, and identified and validated relevant features. We created a melanoma data model and mapped its features to the oncological HL7 FHIR Basisprofil Onkologie [Basic Profile Oncology] and the standard FHIR specification R4. (3) Results: We identified 216 features. Mapping showed that 45 out of 216 (20.83%) features could be mapped completely or with adjustments using the Basisprofil Onkologie [Basic Profile Oncology], and 129 (60.85%) features could be mapped using the standard FHIR specification. A total of 39 (18.06%) new, non-mappable features could be identified. (4) Conclusions: Our tumor-specific real-world melanoma data could be partially mapped using a combination of an oncological FHIR profile and a standard FHIR specification. However, important data features were lost or had to be mapped with self-defined extensions, resulting in limited interoperability.
Target Enzymes of Origanum majorana and Rosmarinus officinalis Essential Oils in Black Cutworm (Agrotis ipsilon): In Vitro and In Silico Studies
Authors: Ahmed Fatma S. , Helmy Walid S. , Alfuhaid Nawal Abdulaziz , Moustafa Moataz A. M.
Published: June 2024

In this study, in vitro and in silico approaches were employed to assess the toxicity of marjoram (Origanum majorana) and rosemary (Rosmarinus officinalis) essential oils (EOs) to A. ipsilon larvae. The study determined the activities of ATPases in the larvae after treatment with the LC20 and LC70 of each EO. α-esterase and glutathione-S-transferase (GST) activities were also determined after treatment with LC10 and LC30 of each EO. Furthermore, molecular docking was employed to determine the binding affinity of terpinene-4-ol and α-pinene, the major constituents of O. majorana, and R. officinalis EOs, respectively, compared to the co-crystallized ligand of α-esterase, diethyl hydrogen phosphate (DPF). Toxicity assays revealed that O. majorana EO was more toxic than R. officinalis EO to the A. ipsilon larvae at 96 h post-treatment. However, the LC20 and LC70 of the latter significantly inhibited the activity of the Na+-K+ pump at almost all intervals. The same concentrations significantly inhibited the Mg2+/Ca2+-ATPase and Ca2+ pump at 96 h post-treatment. In contrast, O. majorana EO showed a variable effect on the Na+-K+ pump across different time intervals. On the other hand, LC10 and LC30 of both EOs showed varied effects on α-esterase and GST over time. Molecular docking revealed energy scores of −4.51 and −4.29 kcal/mol for terpinene-4-ol and α-pinene, respectively, compared to a score of −4.67 for PDF. Our study demonstrated the toxicity of the tested EOs to A. ipsilon, suggesting their potential efficacy as insecticides.
Correction: Liu et al. Weight Change and Risk of Atherosclerosis Measured by Carotid Intima–Media Thickness (cIMT) from a Prospective Cohort—Analysis of the First-Wave Follow-Up Data of the Canadian Longitudinal Study on Aging (CLSA). J. Cardiovasc. Dev. Dis. 2023, 10, 435
Authors: Liu Jian , Sze Newman Siu Kwan , Narushima Miya , O’Leary Deborah
Published: June 2024

There was missing information in the back matter of the original publication [...]
Sodium–Glucose Transporter 2 Inhibitors in Heart Failure: An Overview of Systematic Reviews
Authors: Fang Yixuan , Chen Lihong , Sun Shiyi , Ran Xingwu
Published: June 2024

Background: Several studies have shown that sodium-dependent glucose transporter 2 inhibitors can be used in the treatment of heart failure. This article summarized systematic reviews of sodium-dependent glucose transporter 2 inhibitors in the treatment of heart failure in order to evaluate efficacy and safety. Methods: We systematically searched eight electronic databases from inception to July 2023. We used Assessment of Multiple Systematic Reviews 2 to evaluate the methodological quality, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 to assess report quality, Risk of Bias in Systematic Review to assess the risk of bias, and Grading of Recommendations Assessment, Development, and Evaluation to rate the quality of evidence. Outcome: A total of 36 systematic reviews were included. Our results were classified as clear evidence of benefit: hospitalization for heart failure; possible benefit: cardiovascular death (mortality) and renal outcome composite; clear evidence of no effect or equivalence: atrial arrhythmias, ventricular arrhythmia, atrial fibrillation, and hypotension; possible harm: genital infection; insufficient evidence to draw a conclusion: atrial flutter, major adverse cardiovascular events, urinary tract infection, acute kidney injury, hypoglycemia, and bone fracture. Conclusions: Sodium-dependent glucose transporter 2 inhibitors are beneficial for the treatment of heart failure, especially in terms of heart failure hospitalization.
Formulation Effects on the Mechano-Physical Properties of In Situ-Forming Resilient Hydrogels for Breast Tissue Regeneration
Authors: Goder Orbach Daniella , Zilberman Meital
Published: June 2024

The need for a long-term solution for filling the defects created during partial mastectomies due to breast cancer diagnosis has not been met to date. All available defect-filling methods are non-permanent and necessitate repeat procedures. Here, we report on novel injectable porous hydrogel structures based on the natural polymers gelatin and alginate, which are designed to serve for breast reconstruction and regeneration following partial mastectomy. The effects of the formulation parameters on the mechanical and physical properties were thoroughly studied. The modulus in compression and tension were in the range of native breast tissue. Both increased with the increase in the crosslinker concentration and the polymer–air ratio. Resilience was very high, above 93% for most studied formulations, allowing the scaffold to be continuously deformed without changing its shape. The combination of high resilience and low elastic modulus is favored for adipose tissue regeneration. The physical properties of gelation time and water uptake are controllable and are affected mainly by the alginate and N-(3-dimethylaminopropyl)-N’-ethylcarbodiimide hydrochloride (EDC) concentrations and less by the polymer–air ratio. In vitro cell viability tests were performed on mouse preadipocytes and indicated high biocompatibility. The minimally invasive nature of this approach, along with the excellent properties of the scaffold, will enable the filling of complex voids while simultaneously decreasing surgical costs and greatly improving patient well-being.
Practical but Inaccurate? A-Mode Ultrasound and Bioelectrical Impedance Underestimate Body Fat Percentage Compared to Dual-Energy X-ray Absorptiometry in Male College Students
Authors: Olinto Markus , Lins Victor César , Rocha Gabriel , Dourado Marco Aurélio , Dutra Maurilio
Published: June 2024

Bioelectrical impedance (BIA) and ultrasound (US) have become popular for estimating body fat percentage (BF%) due to their low cost and clinical convenience. However, the agreement of these devices with the gold-standard method still requires investigation. The aim was to analyze the agreement between a gold-standard %BF assessment method with BIA and US devices. Twenty-three men (aged 30.1 ± 7.7 years, weighing 82.5 ± 14.9 kg, 1.77 ± 0.05 m tall) underwent dual-energy X-ray absorptiometry (DXA), BIA (tetrapolar) and US (three-site method) %BF assessments. Pearson and concordance correlations were analyzed. A T-test was used to compare the means of the methods, and Bland–Altman plots analyzed agreement and proportional bias. Alpha was set at <0.05. The Pearson coefficients of BIA and US with DXA were high (BIA = 0.94; US = 0.89; both p < 0.001). The concordance coefficient was high for BIA (0.80) and moderate for US (0.49). The BF% measured by BIA (24.5 ± 7.5) and US (19.4 ± 7.0) was on average 4.4% and 9.6% lower than DXA (29.0 + 8.5%), respectively (p < 0.001). Lower and upper agreement limits between DXA and BIA were −1.45 and 10.31, while between DXA and US, they were 2.01 and 17.14, respectively. There was a tendency of both BIA (p = 0.09) and US (p = 0.057) to present proportional bias and underestimate BF%. Despite the correlation, the mean differences between the methods were significant, and the agreement limits were very wide. This indicates that BIA and US, as measured in this study, have limited potential to accurately measure %BF compared to DXA, especially in individuals with higher body fat.
Detection and Analysis of Corrosion on Coated Metal Surfaces Using Enhanced YOLO v5 Algorithm for Anti-Corrosion Performance Evaluation
Authors: Yu Qifeng , Han Yudong , Lin Wuguang , Gao Xinjia
Published: June 2024

This study addresses the severe corrosion issues in the coastal regions of southern China by proposing an improved YOLO v5-GOLD-NWD model. Utilizing corrosion data from the National Center for Materials Corrosion and Protection Science of China, a dataset was constructed for metal-surface corrosion under different protective coatings. This dataset was used for model training, testing, and comparison. Model accuracy was validated using precision, recall, F1 score, and prediction probability. The results demonstrate that the proposed improved model exhibits better identification precision in metal corrosion detection, achieving 78%, a 4% improvement compared to traditional YOLO v5 models. Additionally, through identification and statistical analysis of corrosion image datasets from five types of coated metal specimens, it was found that powder epoxy coating, fluorocarbon coating, epoxy coating, and chlorinated rubber coating showed good corrosion resistance after 24 months of exposure. Conversely, Wuxi anti-fouling coating exhibited poor corrosion resistance. After 60 months of natural exposure, the powder epoxy coating specimens had the highest corrosion occurrence probability, followed by chlorinated rubber coating and epoxy coating, with fluorocarbon coating showing relatively lower probability. The fluorocarbon coating demonstrated relatively good corrosion resistance at both 24 and 60 months of exposure. The findings of this study provide a theoretical basis for enhancing the corrosion protection effectiveness of steel structures in coastal areas.
Deep Learning-Based Geomorphic Feature Identification in Dredge Pit Marine Environment
Authors: Zhang Wenqiang , Chen Xiaobing , Zhou Xiangwei , Chen Jianhua , Yuan Jianguo , Zhao Taibiao , Xu Kehui
Published: June 2024

Deep learning methods paired with sidescan sonar (SSS) are commonly used in underwater search-and-rescue operations for drowning victims, wrecks, and airplanes. However, these techniques are primarily used to detect mine-like objects and are rarely applied to identifying features in dynamic dredge pit environments. In this study, we present a Sandy Point dredge pit (SPDP) dataset, in which high-resolution SSS data were collected from the west flank of the Mississippi bird-foot delta on the Louisiana inner shelf. This dataset contains a total of 385 SSS images. We then introduce a new Effective Geomorphology Classification model (EGC). Through ablation studies, we analyze the utility of transfer learning on different model architectures and the impact of data augmentations on model performance. This EGC model makes geomorphic feature identification in dredge pit environments, which requires extensive experience and professional knowledge, a quick and efficient task. The combination of SSS images and the EGC model is a cost-effective and valuable toolkit for hazard monitoring in marine dredge pit environments. The SPDP SSS image dataset, especially the feature of pit walls without a rotational slump, is also valuable for other machine learning models.
Real-Time Infrared Sea–Sky Line Region Detection in Complex Environment Based on Deep Learning
Authors: Wang Yongfei , Li Fan , Zhao Jianhui , Fu Jian
Published: June 2024

Fast and accurate infrared (IR) sea–sky line region (SSLR) detection can improve the early warning capability of the small targets that appear in the remote sea–sky junction. However, the traditional algorithms struggle to achieve high precision, while the learning-based ones have low detection speed. To overcome these problems, a novel learning-based algorithm is proposed; rather than detecting the sea–sky line first, the proposed algorithm directly provides SSLR, which mainly consists of three parts: Firstly, an IR sea–sky line region detection module (ISRDM) is proposed, which combines strip pooling and the connection mode of a cross-stage partial network to extract the features of the SSLR target, with an unbalanced aspect ratio, more specifically, thus improving the detection accuracy. Secondly, a lightweight backbone is presented to reduce the parameters of the model and, therefore, improve the inference speed. Finally, a Detection Head Based on the spatial-aware attention module (SAMHead) is designed to enhance the perception ability of the SSLR and further reduce the inference time. Extensive experiments conducted on three datasets with more than 26,000 frames show that the proposed algorithm achieved approximately 80% average precision (AP), outperforms the state-of-the-art algorithms in accuracy, and can realize real-time detection.
Assessment of a Hybrid Wind–Wave Energy Converter System in Nearshore Deployment
Authors: Binh Phan Cong , Dang Tri Dung , Ahn Kyoung Kwan
Published: June 2024

A modeling technique for a nearshore hybrid wind–wave energy converter system (HWWECS) is presented in this research. The model consists of the buoy, wind system, and generator, allowing simulation of the HWWECS’s behavior in response to varied wave circumstances, such as different wave heights and periods. The HWWECS is made up of two buoy units and a wind system that work together to power a generator. The Wave Analysis at Massachusetts Institute of Technology (WAMIT) software is used to calculate the hydrodynamic forces. A variable inertia hydraulic flywheel is used to bring the system into resonance with incident wave frequencies in order to improve power production.
Coastal Erosion Dynamics and Protective Measures in the Vietnamese Mekong Delta
Authors: Ty Tran Van , Duy Dinh Van , Phat Lam Tan , Minh Huynh Vuong Thu , Thanh Nguyen Truong , Uyen Nguyen Thi Ngoc , Downes Nigel K.
Published: June 2024

The dynamic shifts in shorelines due to erosion and deposition have become a significant challenge in coastal zone management, particularly in the context of climate change and rising sea levels. This paper evaluates the shoreline protection and efficiency of various wave-reducing breakwaters in the Vietnamese Mekong Delta. The delta exemplifies the coastal erosion issue faced by deltas worldwide. Landsat satellite images were used to establish a coastal development map for the period 2000 to 2022. The wave data in front and behind the breakwaters were analyzed to assess the wave reduction efficiency of various breakwater structures. Our results reveal that coastal erosion is deeply concerning, with almost 40% of the coastline experiencing severe erosion. Hotspot areas have been observed to reach annual erosion rates of nearly 95 m per year. The majority of provinces have adopted protective measures, with 68% of affected shorelines protected to some degree. Our results show breakwaters to be highly effective in reducing wave height, with a 62% reduction in waves reaching the shore. The process of creating offset has taken place in the area from the breakwater back to the mainland, with the rate of increase in compensation also quite fast at up to 3.1 cm/month. The stability of the pile–rock is very high; however, it is necessary to add rock to compensate for the settlement of the rock part.
Diversity and New Species of Ascomycota from Bamboo in China
Authors: Zhao Zhiying , Mu Taichang , Keyhani Nemat O. , Pu Huili , Lin Yongsheng , Lv Ziying , Xiong Jinming , Chen Xiaohao , Zhan Xinyang , Lv Huajun , Jibola-Shittu Motunrayo Yemisi , Jia Peisong , Wu Jianlong , Huang Shuaishuai , Qiu Junzhi , Guan Xiayu
Published: June 2024

Bamboo is an economically important crop that has gained prominence as an alternative to wood to reduce deforestation and ecosystem destruction. Diseases of bamboo that typically occur on leaves and stems can cause significant loss, reducing the quality and yield of the bamboo. However, there are few reports identifying the fungal species diversity and potential pathogens of bamboo. Here, we describe four new species of plant fungi from the leaves of bamboo within Fujian provinces, China. Fungi were isolated from diseased leaves collected within Fujian province and identified based on their morphological characteristics and multilocus phylogenies using nucleotide sequences derived from combined datasets of the intervening 5.8S nrRNA gene (ITS), the 28S large subunit of nuclear ribosomal RNA gene (LSU), the large subunit of RNA polymerase I (rpb1), the translation elongation factor 1-α gene (tef1-α), and the partial beta-tubulin gene (tub2). These analyses helped reveal and clarify taxonomic relationships in the family Magnaporthaceae. The new species of bambusicolous fungi identified include two species of Bifusisporella, described as B. fujianensis sp. nov. and B. bambooensis sp. nov., and two species of Apiospora, described as A. fujianensis sp. nov. and A. fuzhouensis sp. nov. This study further expands the characterization and distribution of fungi associated with bamboo.
Identification of Food Spoilage Fungi Using MALDI-TOF MS: Spectral Database Development and Application to Species Complex
Authors: Rolland Nolwenn , Girard Victoria , Monnin Valérie , Arend Sandrine , Perrin Guillaume , Ballan Damien , Beau Rachel , Collin Valérie , D’Arbaumont Maëlle , Weill Amélie , Deniel Franck , Tréguer Sylvie , Pawtowski Audrey , Jany Jean-Luc , Mounier Jérôme
Published: June 2024

Fungi, including filamentous fungi and yeasts, are major contributors to global food losses and waste due to their ability to colonize a very large diversity of food raw materials and processed foods throughout the food chain. In addition, numerous fungal species are mycotoxin producers and can also be responsible for opportunistic infections. In recent years, MALDI-TOF MS has emerged as a valuable, rapid and reliable asset for fungal identification in order to ensure food safety and quality. In this context, this study aimed at expanding the VITEK® MS database with food-relevant fungal species and evaluate its performance, with a specific emphasis on species differentiation within species complexes. To this end, a total of 380 yeast and mold strains belonging to 51 genera and 133 species were added into the spectral database including species from five species complexes corresponding to Colletotrichum acutatum, Colletotrichum gloeosporioides, Fusarium dimerum, Mucor circinelloides complexes and Aspergillus series nigri. Database performances were evaluated by cross-validation and external validation using 78 fungal isolates with 96.55% and 90.48% correct identification, respectively. This study also showed the capacity of MALDI-TOF MS to differentiate closely related species within species complexes and further demonstrated the potential of this technique for the routine identification of fungi in an industrial context.
Physicochemical Properties of Different Sulfated Polysaccharide Components from Laetiporus sulphureus and Their Anti-Proliferative Effects on MDA-MB-231 Breast Cancer Cells
Authors: Jen Chia-I , Ng Lean-Teik
Published: June 2024

Laetiporus sulphureus is an edible and medicinal mushroom widely used in folk medicine for treating cancer and gastric diseases. This study aimed to investigate the physicochemical properties of different sulfated polysaccharide (SPS) components (F1, F2, and F3) isolated from L. sulphureus and evaluate their activity against MDA-MB-231 breast cancer cell proliferation. Compared with F1 and F3, the results showed that F2 exhibited the most potent anti-proliferative activity on MDA-MB-231 cells, which could be attributed to the sulfate and protein contents, molecular weight, and monosaccharide composition. F2 inhibited breast cancer cell proliferation by blocking the cell cycle at the G0/G1 phase but not triggering cell apoptosis. In addition, F2 also showed selective cytotoxicity on breast cancer cells. It modulated the expression of proteins involved in G0/G1 phase progression, cell cycle checkpoints, DNA replication, and the TGFβ signaling pathway in MDA-MB-231 cells. This study demonstrated that F2, the medium-molecular-weight SPS component of L. sulphureus, possessed the most potent inhibitory effect on MDA-MB-231 cell proliferation by arresting the cell cycle at the G0/G1 phase. The main factors contributing to the differences in the potency of anti-breast cancer activity between F1, F2, and F3 could be the sulfate and protein contents, molecular weight, and monosaccharide composition of SPS.
Clarification of the Boundaries of Lands of Historical and Cultural Heritage and Determination of Their Protection Zones by Remote Sensing Methods
Authors: Chetverikov Borys , Hlotov Volodymyr , Bakuła Krzysztof
Published: June 2024

Determining precise boundaries and protective zones for historical and cultural objects enables their effective preservation. This article presents the framework for establishing protective zones around historical and cultural heritage sites existing in Ukraine, using the example of the Citadel defensive complex located in Lviv (Ukraine). It proposes general and detailed conceptual models for the combined application of remote and non-invasive methods for investigating historical and cultural heritage sites. It introduces the theory of integrating radar satellite imaging with ground-based georadar imaging. Additionally, it presents a software module that has been developed to analyze collected data on two-dimensional historical and cultural heritage objects, refine their boundaries, and establish protective zones around them. The result of the work is the determination of extremum points of vertical displacement on the territory of the historical and cultural heritage site “Lviv Citadel” in Ukraine using SAR, and the construction of a map of vertical displacements. A classification of these points was carried out, after which two of them were investigated using GPR for anomalies. Artifacts from World War II were discovered at each of these points. Using the developed software module, updated boundaries of the site were constructed, taking into account the underground artifacts and protective zones.