bluuebunny/crossref_metadata_2025 huggingface dataset:
Experiments and FE Modeling on the Seismic Behavior of Partially Precast Steel-Reinforced Concrete Squat Walls
Authors: Yu Yunlong , Liu Yuntao , Tan Bin , Liu Yaping , Xue Yicong
Published: October 2024

This paper proposed an innovative precast steel-reinforced concrete (PPSRC) squat wall to simplify on-site construction. In PPSRC squat shear walls, the hollowly precast RC wall panel can be assembled on-site through the pre-erected steel shapes, and the boundary cores will be filled using fresh concrete together with the slab system. The seismic performance of PPSRC squat walls, influenced by different construction techniques (cast-in-place vs. precast) and steel ratios, was examined through pseudo-static experiments on three specimens. Some key performance indicators, including hysteretic behavior, skeleton curves, stiffness degradation, energy dissipation, and load-carrying capacity, were analyzed in detail. The test results indicated that all the PPSRC squat walls failed in typical shear failure, and no significant slippage between the precast and fresh concrete sections was observed during the loading process, indicating that the composite action could be fully achieved via the novel throat connectors. In addition, the PPSRC squat walls could achieve comparable seismic performance compared with that of cast-in-place SRC shear walls (the peak load of the PPSRC squat wall only increased by 0.26% compared with the control specimen), and the load-carrying capacity and deformability could be enhanced by increasing the steel ratio in the boundary elements. Finally, an elaborate finite element model was developed and validated using ABAQUS software. The parametric analysis of the concrete strengths of precast and cast-in-place parts and the axial load was conducted further to investigate the seismic performance of PPSRC squat walls.
Study on the Effect of Jute CNFs Addition on the Water Absorption and Mechanical Properties of Geopolymer Concrete
Authors: Nordin Siti Syazwani , Mhd Noor Ervina Efzan , Muhd Julkapli Nurhidayatullaili , Abdul Kadir Aeslina
Published: October 2024

This study investigates the influence of thermoplastic polyurethane (TPU) reinforced with jute cellulose nanofibers (CNFs) on the water absorption and mechanical properties of geopolymer concrete. The integration of TPU/jute CNF nanocomposites into geopolymer concrete is explored as a strategy to enhance both its durability and mechanical performance. Geopolymer concrete, a sustainable alternative to traditional Portland cement concrete, is known for its low carbon footprint, but it suffers from high brittleness and water absorption. The water absorption behavior of the modified concrete was assessed, revealing a significant reduction in water uptake due to the hydrophobic nature of TPU and the reinforcing effect of jute CNFs. Additionally, the mechanical properties, including compressive and flexural strengths, were evaluated to understand the impact of the nanocomposites on the structural integrity of the concrete. The addition of TPU/jute CNFs notably enhanced the splitting tensile strength (63.5%), compressive strength (59%), and water absorption (0.59%) of the composite, indicating a promising route for developing high-performance construction materials. The integration of 6 wt% of TPU/jute CNF nanocomposites was found to be optimal, resulting in a uniform matrix, reduced micro-cracks, and improved compressive strength due to enhanced adhesion between the nanocomposites and the geopolymer matrix. Furthermore, a curing temperature of 100 °C was identified as ideal, minimizing unreacted fly ash and enhancing adhesion strength, while higher temperatures (140 °C) led to material deterioration due to rapid water loss. The findings demonstrate that the addition of TPU/jute CNF nanocomposites not only improves resistance to water penetration but also enhances overall mechanical performance. This supports the development of more sustainable and resilient construction materials, contributing to global efforts to reduce the environmental impact of the construction industry. Future research should focus on the long-term durability of these composites under various environmental conditions to validate their effectiveness in real-world applications.
Correction: Gupta et al. Androgen Receptor Activation Induces Senescence in Thyroid Cancer Cells. Cancers 2023, 15, 2198
Authors: Gupta Anvita , Carnazza Michelle , Jones Melanie , Darzynkiewicz Zbigniew , Halicka Dorota , O’Connell Timmy , Zhao Hong , Dadafarin Sina , Shin Edward , Schwarcz Monica D. , Moscatello Augustine , Tiwari Raj K. , Geliebter Jan
Published: October 2024

In the original publication [...]
Radiation Implication in Pediatric Second Primary Thyroid Malignancy (SPTM) Cumulative Incidence and Mortality in the United States: Large Cohort Evidence
Authors: Holmes Laurens , Simon-Plumb Casey Lu , Ziegler Ruth , Ogundele Benjamin , Holmes Mackenzie , Dabney Kirk , Poleon Maura , Enwere Michael
Published: October 2024

Objective: To assess racial and sex variances in second primary thyroid malignancy (SPTM) cumulative incidence and temporal trends and the radiation exposure effect in pediatric SPTM. Materials and Methods: A retrospective cohort study, a non-experimental epidemiologic design, was used to assess the cumulative incidence (CmI) and temporal trends as well as the exposure effect of radiation in SPTM among children, 0–19 years, in the Surveillance, Epidemiology, and End Results (SEER) registry, National Cancer Institute (NCI), USA. Percent change (PC) and annual percent change (APC) were used to examine CmI rates and temporal trends, while chi-square statistics and binomial regression models were used to examine variable distribution by race and to determine the exposure effect of radiation on SPTM as well as mortality, respectively. Results: The frequency of pediatric thyroid cancer was (n = 3457) between 1973 and 2013/14, while the PC was 151.2 for all races but 99.8 among whites. Of all pediatric thyroid cancers diagnosed during this period, SPTM accounted for 3% (n = 99). Compared to whites, blacks/AA were 60% less likely to present with SPTM, adjusted risk ratio, aRR = 0.40, 99% CI 0.06–2.47, while other races were 18% more likely to develop SPTM, aRR = 1.18, 99% CI 0.48–2.87. Additionally, females relative to males were 63% less likely to be diagnosed with SPTM, aRR = 0.37, 99% CI 0.22–0.61. With respect to urbanicity, compared to children in rural areas, those in urban areas were 21% less likely to develop SPTM, aRR = 0.79, 99% CI, 0.12–5.35, while children in metropolitan areas were 40% less likely to develop SPTM, aRR = 0.60, 99% CI, 0.10–3.59. Although imprecise, there was a 5% increased risk of SPTM, with radiation as an exposure effect, aRR = 1.05, 99% CI 1.01–1.75. Conclusions: There are increasing temporal trends in pediatric SPTM with blacks relative to whites having observed lower incidence, despite an increasing percent change among blacks/AA, indicative of the disproportionate burden of this malignant neoplasm. SPTM risk was higher among males and in rural areas, while radiation as a risk for SPTM was clinically and biologically meaningful, albeit an observed statistically insignificant inference due to sampling variability, requiring intervention mapping in radiation exposure margination among children.
Histology Agnostic Drug Development: An Updated Review
Authors: Nguyen Kevin , Fama Karina , Mercado Guadalupe , Myat Yin , Thein Kyaw
Published: October 2024

Recent advancements in oncology have led to the development of histology-agnostic therapies, which target genetic alterations irrespective of the tumor’s tissue of origin. This review aimed to provide a comprehensive update on the current state of histology-agnostic drug development, focusing on key therapies, including pembrolizumab, larotrectinib, entrectinib, dostarlimab, dabrafenib plus trametinib, selpercatinib, trastuzumab deruxtecan, and reprotrectinib. We performed a detailed analysis of each therapy’s mechanism of action, clinical trial outcomes, and associated biomarkers. The review further explores challenges in drug resistance, such as adaptive signaling pathways and neoantigen variability, as well as diagnostic limitations in identifying optimal patient populations. While these therapies have demonstrated efficacy in various malignancies, significant hurdles remain, including intratumoral heterogeneity and resistance mechanisms that diminish treatment effectiveness. We propose considerations for refining trial designs and emerging biomarkers, such as tumor neoantigen burden, to enhance patient selection. These findings illustrate the transformative potential of histology-agnostic therapies in precision oncology but highlight the need for continued research to optimize their use and overcome existing barriers.
miR-3065-5p and miR-26a-5p as Clinical Biomarkers in Colorectal Cancer: A Translational Study
Authors: Carbajal-López Berenice , Martínez-Gutierrez Antonio Daniel , Madrigal-Santillán Eduardo O. , Calderillo-Ruiz Germán , Morales-González José Antonio , Coronel-Hernández Jossimar , Lockhart Joey , Millan-Catalan Oliver , Mendoza-Rodriguez Monica G. , Lino-Silva Leonardo S. , Calderillo-Trejo Germán , Sumagin Ronen , Pérez-Plasencia Carlos , Pérez-Yépez Eloy Andrés
Published: October 2024

Background/Objectives: The prognosis of colorectal cancer (CRC) is mainly based on the clinical stage; however, CRC is considered a complex disease due to its molecular heterogeneity. The development of novel biomarkers to improve patients’ diagnosis and prognosis remains fundamental. Methods: A cohort of forty-nine CRC patients from the National Cancer Institute of Mexico was included to collect clinical and miRNA expression data. The expression of a group of miRNAs was compared between CRC and non-tumoral adjacent tissues. Prognosis assessment considering each miRNA expression was tested using Kaplan–Meier survival curves and Cox regressions. Statistical significance was defined as p ≤ 0.05. Trial registration: Retrospective study No.2021/046. Results: miR-3065-5p and miR-26a-5p expression differed between non-tumoral adjacent and tumoral tissues (p = 0.02). In terms of overall survival (OS), patients with low expression of miR-3065-5p had a median OS of 70 months, while patients with high levels did not reach the median OS (p = 0.041). Male patients with low expression of this miRNA had an OS of 70 months, whereas patients with high levels did not reach the median OS (p = 0.050). Under uni-multivariate analysis, clinical stage (HR: 1.30, CI 1.23–2.30; p: 0.001) and low levels of miR-3065-5p (HR: 1.30, CI 1.23–2.30; p: 0.001) were determined as predictor factors of OS. To this end, we designed the “Prognosis miRNAs assessment in cancer” (PROMIR-C) algorithm, which integrated clinical features with miR-3065-5p expression levels. Conclusions: These findings support the clinical utility of miR-26a-5p and miR-3065-5p in the diagnosis and prognosis of CRC. PROMIR-C is a fundamental tool for clinicians in treatment decision-making, prognosis assessment, and outcome of CRC.
Role of Endoscopic Ultrasound-Guided Radiofrequency Ablation in Pancreatic Lesions: Where Are We Now and What Does the Future Hold?
Authors: Chavan Radhika , Thosani Nirav , Kothari Shivangi
Published: October 2024

Endoscopic ultrasound-guided radiofrequency ablation (EUS-RFA) has emerged as an effective and minimally invasive treatment for pancreatic lesions, particularly in patients at high surgical risk. Utilizing thermal energy, RFA induces the coagulative necrosis of the tissue and potentially triggers immunomodulation by releasing intracellular antigens. Numerous studies have confirmed the technical feasibility, safety, and efficacy of EUS-RFA in pancreatic neuroendocrine tumors and premalignant cystic lesions, with an acceptable profile of adverse events. The technique’s potential immunomodulatory effects offer intriguing implications for the treatment of advanced pancreatic malignancies, encouraging further evaluation. This review paper aims to highlight the EUS-RFA principles, technology, and clinical applications in various pancreatic lesions and safety, and the future research directions.
WS2-Assisted Electrochemical Activation of Peroxymonosulfate for Eliminating Organic Pollutant in Water
Authors: Du Wenxuan , Xia Xiren , Li Zhen , Liu Fuzhen , Xu Yin
Published: October 2024

Advanced oxidation process based on heterogeneous activation of peroxymonosulfate (PMS) has received significant attention in wastewater remediation. Herein, a facile and effective electrochemical method was introduced in a tungsten sulfide (WS2)-activated PMS process for the removal of a typical azo dye Acid Orange 7 (AO7) in aqueous solution. It was found that the electrochemical activation could remarkably promote the removal of organic pollutants by coupling with WS2/PMS system. The elimination of AO7 in the electro-assisted WS2-activated PMS (E/WS2/PMS) system achieved 95.8% of AO7 removal in 30 min, with the optimal conditions of 1.0 g/L WS2, 1.0 mM PMS, current density of 1.0 mA/cm2 and initial pH of 6.5. Based on quenching experiments and EPR techniques, mechanistic studies confirmed that hydroxyl radical (•OH) and singlet oxygen (1O2) are the primary reactive oxygen species for the oxidation of pollutants. In addition, the influences of pH, WS2 dosage, PMS concentration, current density, common anions and humic acid on the AO7 removal are also investigated in detail. Furthermore, the system exhibited resistance to aqueous matrices, verifying the accepted applicability in real water (i.e., Yangtze River water and Shahu Lake water). In summary, this study demonstrates a green system for the effective removal of contaminants in water, holding significant implications for practical application.
Mitochondrial Dysfunction and Metabolic Disturbances Induced by Viral Infections
Authors: Pérez Sandra E. , Gooz Monika , Maldonado Eduardo N.
Published: October 2024

Viruses are intracellular parasites that utilize organelles, signaling pathways, and the bioenergetics machinery of the cell to replicate the genome and synthesize proteins to build up new viral particles. Mitochondria are key to supporting the virus life cycle by sustaining energy production, metabolism, and synthesis of macromolecules. Mitochondria also contribute to the antiviral innate immune response. Here, we describe the different mechanisms involved in virus–mitochondria interactions. We analyze the effects of viral infections on the metabolism of glucose in the Warburg phenotype, glutamine, and fatty acids. We also describe how viruses directly regulate mitochondrial function through modulation of the activity of the electron transport chain, the generation of reactive oxygen species, the balance between fission and fusion, and the regulation of voltage-dependent anion channels. In addition, we discuss the evasion strategies used to avoid mitochondrial-associated mechanisms that inhibit viral replication. Overall, this review aims to provide a comprehensive view of how viruses modulate mitochondrial function to maintain their replicative capabilities.
Insights into Molecular and Cellular Mechanisms of NeuroCOVID
Authors: Barbato Christian , Petrella Carla , Minni Antonio
Published: October 2024

Post-COVID-19 syndrome (PCS) is defined by the persistence or recurrence of symptoms after an initial acute SARS-CoV-2 infection [...]
Omega-3 Fatty Acids and Neuroinflammation in Depression: Targeting Damage-Associated Molecular Patterns and Neural Biomarkers
Authors: Malau Ikbal Andrian , Chang Jane Pei-Chen , Lin Yi-Wen , Chang Cheng-Chen , Chiu Wei-Che , Su Kuan-Pin
Published: October 2024

Major Depressive Disorder (MDD) is a prevalent mental health condition with a complex pathophysiology involving neuroinflammation, neurodegeneration, and disruptions in neuronal and glial cell function. Microglia, the innate immune cells of the central nervous system, release inflammatory cytokines in response to pathological changes associated with MDD. Damage-associated molecular patterns (DAMPs) act as alarms, triggering microglial activation and subsequent inflammatory cytokine release. This review examines the cellular mechanisms underlying MDD pathophysiology, focusing on the lipid-mediated modulation of neuroinflammation. We explore the intricate roles of microglia and astrocytes in propagating inflammatory cascades and discuss how these processes affect neuronal integrity at the cellular level. Central to our analysis are three key molecules: High Mobility Group Box 1 (HMGB1) and S100 Calcium Binding Protein β (S100β) as alarmins, and Neuron-Specific Enolase (NSE) as an indicator of neuronal stress. We present evidence from in vitro and ex vivo studies demonstrating how these molecules reflect and contribute to the neuroinflammatory milieu characteristic of MDD. The review then explores the potential of omega-3 polyunsaturated fatty acids (ω-3 PUFAs) as neuroinflammation modulators, examining their effects on microglial activation, cytokine production, and neuronal resilience in cellular models of depression. We critically analyze experimental data on how ω-3 PUFA supplementation influences the expression and release of HMGB1, S100β, and NSE in neuronal and glial cultures. By integrating findings from lipidomic and cellular neurobiology, this review aims to elucidate the mechanisms by which ω-3 PUFAs may exert their antidepressant effects through modulation of neuroinflammatory markers. These insights contribute to our understanding of lipid-mediated neuroprotection in MDD and may inform the development of targeted, lipid-based therapies for both depression and neurodegenerative disorders.
Links Between Attention-Deficit/Hyperactivity Disorder Symptoms, Peer Relationships and Mental Health Outcomes in Western Australian Youth
Authors: Maxwell Carolyn , Houghton Stephen , Chapman Elaine
Published: October 2024

Peer relationships are critical in the development of positive mental health during childhood and adolescence. Attention-deficit/hyperactivity disorder (ADHD) symptoms can adversely affect the development of positive peer relationships, and thus, have significant long-term implications for mental health. This study explored the long-term relationships between ADHD symptoms, peer relationships and mental health in Western Australian adolescents. Participants were drawn from a sample of 1489 young people: n = 623 males with a mean age of 13.79 years (SD = 1.61) and n = 866 females, with a mean age of 14.29 years (SD = 1.51). Data were collected at three timepoints across three successive years, with different numbers of participants contributing data at each timepoint. Participants completed measures of ADHD symptoms and existing peer problems in the first year; five measures of peer relationships in the second year; and four measures of mental health in the third year. Multiple regression and path analyses were used to determine whether ADHD symptoms predicted scores on the peer relationship and mental health measures and whether peer relationships mediated links observed between ADHD symptoms and mental health. ADHD symptoms significantly predicted both long-term problematic peer relationships and long-term adverse mental health outcomes. Three peer relationship variables were significant mediators of relationships between ADHD symptoms and mental health: sense of belonging, friendships and perceived isolation. ADHD symptoms significantly predict poor peer relationships and adverse mental health outcomes in Western Australian youth, regardless of whether a formal diagnosis has been assigned. Early interventions for young people with ADHD symptoms are needed for such individuals to enjoy positive mental health in their adult years.
Calcium-Binding Protein and Polymorphism in Musa spp. Somaclones Resistant to Fusarium oxysporum
Authors: Sampaio Juliana Rodrigues , Oliveira Wanderley Diaciso dos Santos , Nascimento Fernanda dos Santos , Junior Luiz Carlos de Souza , Rebouças Tamyres Amorim , Moreira Ricardo Franco Cunha , Ramos Andresa Priscila de Souza , Santos-Serejo Janay Almeida dos , Amorim Edson Perito , Ferreira Claudia Fortes
Published: October 2024

The fresh fruits of ‘Grande Naine’ (Cavendish AAA—Musa spp.) dominate the world market, especially in countries with a population in a situation of social vulnerability. However, Fusarium wilt, caused by the fungus Fusarium oxysporum f.sp. cubense race 4 Subtropical (Foc ST4), emerges as a serious threat to banana production, requiring the development of resistant cultivars based on biotechnological strategies, such as the induction of mutation in tissue culture. This study aimed to identify and characterize genetic variation in somaclones resistant to Fusarium oxysporum f.sp. cubense subtropical race 4 (Foc ST4), derived from ‘Grand Naine’ bananas, by molecular markers based on retrotransposons IRAP (Inter-retrotransposon Amplified Polymorphism) and REMAP (Retrotransposon-Microsatellite Amplified Polymorphism). Nine combinations of IRAP and six combinations of REMAP primers were used. The low number of polymorphic bands did not allow for genetic diversity studies; however, ten polymorphic bands between the somaclones and control were sequenced. Of these, three presented good base calling and were aligned, namely, 1AF, 2AF, and 3AF bands. Only the 1AF band presented function related to stress response with homology to a calcium-binding protein. These proteins act early in plant infection as secondary messengers activated by pathogen-associated molecular patterns (PAMPs), initiating the cascade of plant defense signals. The fact that this band is present in all somaclones reinforces previous assessments of their resistance to Foc ST4. The use of markers IRAP and REMAP produced polymorphic bands that can, through future primer design and field validations, accelerate the identification of resistant banana genotypes for use in banana genetic breeding programs.
Exploring the Benefits of Herbal Medicine Composite 5 (HRMC5) for Skin Health Enhancement
Authors: Ha Rira , Cho Won Kyong , Kim Euihyun , Jang Sung Joo , Kim Ju-Duck , Yi Chang-Geun , Moh Sang Hyun
Published: October 2024

The skin, as the body’s largest organ, is vital for protecting against environmental stressors, regulating temperature, and preventing water loss. Here, we examined the potential of a mixture of five traditional Korean herbal extracts—Cimicifuga racemosa, Paeonia lactiflora, Phellodendron amurense, Rheum rhaponticum, and Scutellaria baicalensis—referred to as herbal medicine composite 5 (HRMC5) for enhancing skin health and managing menopausal symptoms. High-performance liquid chromatography identified 14 bioactive compounds, including flavonoids, phenolic acids, anthraquinones, and alkaloids. In vitro studies revealed an optimal concentration of 0.625 g/L for cell survival and UV protection, with the mixture demonstrating significant wound-healing properties comparable to epidermal growth factor. HRMC5 exhibited anti-inflammatory effects by downregulating COX2 expression and upregulating the key skin barrier proteins. A 4-week clinical trial involving 20 postmenopausal women showed significant improvements in skin redness, hemoglobin concentration, and skin moisture content. Visual analog scale assessments indicated substantial reductions in facial flushing severity and the associated sweating. The topical application of HRMC5 cream offered potential advantages over ingested phytoestrogens by reducing the systemic side effects. These findings suggest that HRMC5 is a promising non-invasive treatment for vasomotor symptoms in menopausal women and overall skin health, warranting further research on its long-term efficacy and safety in larger populations.
Exploring the Safety of the Sustainable Toxicity Testing in Zebrafish and Brine Shrimp Using Nanoemulsions Formulated from Fish Byproducts and Lemon Oil
Authors: Hendawy Amira Ayman , Elgharbawy Amal A. M. , Mohd Noor Najihah , Al-Saari Nurhidayu , Azmi Nor Azrini Nadiha , Mohd Salleh Hamzah
Published: October 2024

Nanoemulsions, characterized by their nanosized particles ranging from 20 to 200 nm, are effective carriers for drug molecules. Our novel oil-in-water nanoemulsion, NE-FLO™, formulated from lemon and fish byproduct oils, demonstrates promising antioxidant and anti-inflammatory activities, with initial studies indicating nontoxicity to normal skin cells. This study investigated the safety of NE-FLO™ using brine shrimp (Artemia salina) and zebrafish (Danio rerio) models, focusing on concentration-dependent effects and LC50 values. At lower concentrations (0.1 mg·L−1, 0.01 mg·L−1, and 0.001 mg·L−1), NE-FLO™ showed minimal toxicity without adverse effects. However, at 1 mg·L−1, reduced survival rates indicate potential toxicity. Specifically, this concentration also induces altered swimming behaviors in zebrafish. LC50 values are 8.7474 mg·L−1 for brine shrimp and 0.316 mg·L−1 for adult zebrafish. These results underscore the necessity for further detailed investigations into NE-FLO™, balancing its therapeutic benefits with potential toxicity risks. This study emphasizes the importance of optimizing nanoemulsion formulations from fish oil and conducting comprehensive safety assessments to meet regulatory standards.
Synthesis and Properties of a Red Na5Zn2Gd1−x(MoO4)6: xEu3+ Phosphor
Authors: Gao Wa , Sha Ren , Ai Jun
Published: October 2024

Novel Eu3+-doped Na5Zn2Gd(MoO4)6 triple molybdate phosphors were fabricated by the sol-gel method. The structure, morphology, and luminescent properties have been characterized by X-ray diffraction (XRD), thermogravimetric differential thermal analysis (TG-DTA), scanning electron microscopy (SEM), FTIR spectroscopy, and luminescence spectroscopy. The results indicated that the synthesized Na5Zn2Gd1−x(MoO4)6: xEu3+ phosphor consisted of a pure phase with monoclinic structure. Under excitation at 465 nm, the Na5Zn2Gd1−x(MoO4)6: xEu3+ phosphor exhibits an intensive red emission band around 610 nm corresponding to the transition of 5D0→7F2 which is much higher than that 5D0→7F1 at 594 nm, which was appropriate for a blue LED. According to the influence of the synthesis conditions, the phosphors showed the highest emission intensity when the doping concentration of Eu3+ was 25 mol.% and the molar ratio of citric acid to metal ions was 2:1. Na5Zn2Gd0.75(MoO4)6: 0.25 Eu3+ with the color coordinates (x = 0.658, y = 0.341) is a more stable red phosphor for blue-based white LEDs than the commercial Y2O2S: Eu3+ red phosphor (0.48, 0.50) due to its being closer to the NTSC standard values (0.670, 0.330).
Development of Additively Manufactured Embedded Ceramic Temperature Sensors via Vat Photopolymerization
Authors: Reed Nicholas , Srinivasaraghavan Govindarajan Rishikesh , Perry Sheridan , Coote Kayann , Kim Daewon
Published: October 2024

Current additive manufacturing (AM) techniques and methods, such as liquid-crystal display (LCD) vat photopolymerization, offer a wide variety of surface-sensing solutions, but customizable internal sensing is both scarce in presence and narrow in scope. In this work, a fabrication process for novel customizable embedded ceramic temperature sensors is investigated. The fabrication techniques and materials are evaluated, followed by extensive characterization via spectral analysis and thermomechanical testing. The findings indicate that LCD-manufactured ceramic sensors exhibit promising sensing properties, including strong linear thermal sensitivity of 0.23% per °C, with an R2 of at least 0.97, and mechanical strength, with a hardness of 570 HV, making them suitable for adverse environmental conditions. This research not only advances the field of AM for sensor development but also highlights the potential of LCD technology in rapidly producing reliable and efficient ceramic temperature sensors.
Efficacy and Tolerability of Olaparib Plus Paclitaxel in Patients with Gastric Cancer Associated with Hereditary Breast and Ovarian Cancer
Authors: Hayashi Takuma , Sano Kenji , Okada Mako , Muto Manabu , Konishi Ikuo
Published: October 2024

Helicobacter pylori, a gram-negative, flagellated, helical bacterium, is a common cause of chronic gastric infection worldwide. According to the World Health Organization, H. pylori infection, a specific carcinogenic factor, was the leading cause of gastric cancer (GC) in 2014 worldwide (80%). H. pylori infection causes GC in >98% of patients in East Asian countries, including Japan. However, only some types of GCs are associated with H. pylori infection. Previous clinical studies have revealed that the bacterium secretes cytotoxin-associated gene A antigen, which inhibits the nuclear translocation of the breast cancer susceptibility gene 1 and 2 (BRCA1/2), a factor involved in DNA damage repair. This indicated an association between hereditary breast and ovarian cancers (HBOCs) and the development of GC. However, the detailed mechanisms underlying the development of GC caused by H. pylori infection remain unclear. Using the information on hereditary cancers obtained based on cancer genomic medicine, this study revealed that the incidence of GC was high in families with HBOC, with a preponderance for men from families with HBOC. Furthermore, the use of poly-adenosine diphosphate-ribose polymerase inhibitors in patients with hereditary GC is considered safe and effective. This study provides substantial evidence for guiding the establishment of early treatment for patients with advanced-stage/metastatic GC who harbored BRCA1/2 mutations.
Comparative Chloroplast Genome Analysis in High-Yielding Pinus kesiya var. langbianensis
Authors: Wang Dong , Wang Yi , Yuan Xiaolong , Chen Wei , Li Jiang
Published: October 2024

Pinus kesiya var. langbianensis, a species endemic to Yunnan, China, accounts for over 90% of Yunnan’s Pinus resin production. However, there is significant variation in resin yield among individuals, and molecular markers for identifying high-yielding individuals have yet to be developed. In this study, a comparative analysis of complete chloroplast genomes of P. kesiya var. langbianensis was conducted to perform a phylogenetic analysis and differentiate high-yielding individuals. Both high-yielding (HY) and low-yielding (LY) trees possess a typical quadripartite structure, with respective genome sizes of 119,812 bp and 119,780 bp. Each chloroplast genome contains 112 genes, including 72 protein-coding genes, 36 tRNAs, and 4 rRNAs. Furthermore, HY and LY trees contain 30 and 34 SSRs, respectively, with mononucleotide repeats being predominant; neither genome exhibited trinucleotide or pentanucleotide repeats. Six highly variable regions were identified: trnI-CAU-psbA, trnH-GUG-trnI-CAU, rpl16, rrn4.5-rrn5, petG-petL, and psaJ. Phylogenetic analysis based on 72 Pinus species revealed that HY and LY trees clustered separately, with the HY tree grouping with P. kesiya and the LY tree with P. yunnanensis. This study provides a theoretical foundation for the molecular identification of high-yield P. kesiya var. langbianensis individuals and enriches the understanding of its phylogenetic relationships.
Extremely Rare Finding of a Chiton (Mollusca, Polyplacophora) in a Rocky Intertidal Habitat in Nova Scotia (Canada)
Authors: Ellrich Julius A. , Scrosati Ricardo A.
Published: October 2024

Chitons are a group of mollusks (polyplacophores) that differ from the mollusks that are most often found on marine rocky shores (bivalves and gastropods). On the Atlantic coast of North America, chitons have been reported in subtidal habitats from Newfoundland (Canada) to New England (USA). Here, we report the finding of Boreochiton ruber at the mid-to-high intertidal zone in a wave-exposed habitat in Nova Scotia (Canada). After surveying various coastal locations across Nova Scotia for 20 years (2004 to 2024), this was the only intertidal chiton we ever found in such habitats, making this an extremely rare occurrence. Rare species may contribute in unique ways to community functioning, making their reports valuable for biodiversity and ecosystem research.
Fragment Library of Colombian Natural Products: Generation and Comparative Chemoinformatic Analysis
Authors: Chávez-Hernández Ana L. , Rodríguez-Pérez Johny R. , Cortés-Hernández Héctor F. , Valencia-Sanchez Hoover A. , Chávez-Fumagalli Miguel Á. , Medina-Franco José L.
Published: October 2024

Fragment libraries have a major significance in drug discovery due to their role in de novo design and enumerating large and ultra-large compound libraries. Although several fragment libraries are commercially available, most are derived from synthetic compounds. The number of fragment libraries derived from natural products is still being determined. Still, they represent a rich source of building blocks to generate pseudo-natural products and bioactive synthetic compounds inspired by natural products. In this work, we generated and analyzed a fragment library of natural products from Colombia, a highly diverse geographical region where fragment libraries are yet to be reported. We also generated and reported fragment libraries of three novel natural product libraries and, as a reference, the most updated version of FDA-approved drugs. In line with the principles of open science, the fragment libraries developed in this study are freely available.
Hybrid Multi-Criteria Decision Making for Additive or Conventional Process Selection in the Preliminary Design Phase
Authors: Salmi Alessandro , Vecchi Giuseppe , Atzeni Eleonora , Iuliano Luca
Published: October 2024

Additive manufacturing (AM) has become a key topic in the manufacturing industry, challenging conventional techniques. However, AM has its limitations, and understanding its convenience despite established processes remains sometimes difficult, especially in preliminary design phases. This investigation provides a hybrid multi-criteria decision-making method (MCDM) for comparing AM and conventional processes. The MCDM method consists of the Best Worst Method (BWM) for the definition of criteria weights and the Proximity Index Value (PIV) method for the generation of the final ranking. The BWM reduces the number of pairwise comparisons required for the definition of criteria weights, whereas the PIV method minimizes the probability of rank reversal, thereby enhancing the robustness of the results. The methodology was validated through a case study, an aerospace bracket. The candidate processes for the bracket production were CNC machining, high-pressure die casting, and PBF-LB/M. The production of the bracket by AM was found to be the optimal choice for small to medium production batches. Additionally, the study emphasized the significance of material selection, process design guidelines, and production batch in the context of informed process selection, thereby enabling technical professionals without a strong AM background in pursuing conscious decisions.
UAVs as a Tool for Optimizing Boat-Supported Flood Evacuation Operations
Authors: Moussa Lara G. , Diaconu Raluca , Watt Michael S. , Muñoz Enrique , Casado Monica Rivas , Broadbent Eben North , Bruscolini Margherita , Doaemo Willie , Mohan Midhun
Published: October 2024

The frequency and intensity of flood events are increasing year by year as a result of climate change. This poses significant threats to human settlements and adversely affects biodiversity, agriculture, and infrastructure. One of the most prominent and traditional flood evacuation approaches is through the use of boats. Nonetheless, serious challenges exist with respect to determining the optimal deployment locations, routes, and timing. Given research advances in the Unmanned Aerial Vehicles (UAVs) sector—and their ability to offer real-time data and aerial monitoring services—we argue that their applications could help enhance boat-supported flood evacuation operations. In this opinion piece, we explore new opportunities for disaster management and underscore the advantages of integrating UAVs into flood evacuation methodologies, including areas of rapid field assessment, optimal route planning, and improved coordination between rescue boats. Notwithstanding the potential of UAVs, we emphasize several gaps to be explored in terms of large-scale data management/processing, regulatory limitations, and technological know-how. Furthermore, we provide recommendations for bolstering boat deployment protocols, disaster preparedness training programs, policy frameworks, and emergency response systems, which could maximize their efficacy in flood evacuation scenarios.
Effects of Bio-Inspired Wing Dihedral Variations on Dynamic Soaring Performance of Unmanned Aerial Vehicles
Authors: Zhang Hang , Zhang Shenwei , Xiang Tao
Published: October 2024

On the basis of a self-developed albatross imitation unmanned aerial vehicle (UAV), three different dihedral angle configurations for the wing’s mid and outer sections are explored: fixed at −50°, fixed at −5°, and varying arbitrarily between −50° and −5°. By solving the optimal loitering dynamic soaring trajectory optimization problem for each configuration, the effect of dihedral angle variation on the dynamic soaring performance of the bio-inspired wings is investigated. The results indicate that under all three configurations, the UAV achieves energy-neutral flight in specific wind field environments. Compared to the fixed dihedral angle of −5°, the UAV demonstrated superior dynamic soaring performance when the dihedral angle was fixed at −50°. When the dihedral angle varied dynamically, the UAV outperformed both fixed configurations across all relevant parameters. Specifically, compared to the fixed dihedral angle of −5°, the total energy increased by 25.43%, and the minimum required wind gradient decreased by 15.56%. Similarly, compared to the fixed dihedral angle of −50°, the total energy increased by 2.52%, and the minimum required wind gradient decreased by 2.07%. These findings suggest that the use of variable dihedral angle technology in bio-inspired UAV wings can significantly enhance dynamic soaring performance and provide theoretical support for the design of morphing wings with superior dynamic soaring capabilities.
Regression of Concurrence via Local Unitary Invariants
Authors: Li Ming , Wang Wenjun , Zhang Xiaoyu , Wang Jing , Li Lei , Shen Shuqian
Published: October 2024

Concurrence is a crucial entanglement measure in quantum theory used to describe the degree of entanglement between two or more qubits. Local unitary (LU) invariants can be employed to describe the relevant properties of quantum states. Compared to quantum state tomography, observing LU invariants can save substantial physical resources and reduce errors associated with tomography. In this paper, we use LU invariants as explanatory variables and employ methods such as multiple regression, tree models, and BP neural network models to fit the concurrence of 2-qubit quantum states. For pure states and Werner states, by analyzing the correlation between data, a functional formula for concurrence in terms of LU invariants is obtained. Additionally, for any two-qubit quantum states, the prediction accuracy for concurrence reaches 98.5%.
Redesigning of Flexible Learning Itinerary Configurator (FLIC) for the Design of Learning Situations in Compulsory Education (FLIC-IPAFLEX)
Authors: Munar-Garau Jacoba , Moreno-Garcia Juan , De-Benito-Crosetti Barbara , Salinas Jesus
Published: October 2024

This paper presents the redesign process of FLIC, a web application developed for creating personal learning itineraries in higher education, now adapted for primary and secondary education as FLIC-IPAFLEX. This redesign meets the need for personalised learning through flexible pathways. It supports teachers in creating learning situations (LSs) as per the criteria set forth by the new Spanish Education Law (LOMLOE). The SCRUM model, integrated into Design-Based Research (DBR), was employed, implementing several iterative cycles involving teachers to validate the tool’s utility. The platform facilitates the creation, publication, and reuse of LS by enabling the filtering of competencies, evaluation criteria, and basic knowledge, as well as integrating with Google Classroom, an application widely used by teachers. The results show a positive user evaluation, highlighting its ease of use and capacity to foster collaboration among teachers, thereby promoting the co-design of flexible and adaptive LSs. FLIC-IPAFLEX aims to contribute to the field of learning design technologies, aligning with the demands of compulsory education and supporting collaborative processes within the educational environment.
Hong Kong Kindergarten Teachers’ Satisfaction and Engagement in a Music-and-Movement Online Professional Development Course
Authors: Ng Siu-Ping , Bautista Alfredo
Published: October 2024

Online professional development (PD) can be a sustainable and easily scalable alternative to provide early childhood teachers with training opportunities. However, there is limited research on teachers’ levels of satisfaction and engagement in online PD initiatives. Understanding teachers’ levels of satisfaction and engagement is crucial, as these may influence the effectiveness of online PD in benefiting teachers and ultimately young children. This study aimed to examine Hong Kong kindergarten teachers’ satisfaction and engagement in a music-and-movement (M&M) online PD course. This study involved 56 participants who received an 11-week online PD course. Questionnaires were administered after course completion. Data were analyzed using descriptive statistics and t-tests. Participants had high levels of satisfaction with the course, particularly those with no or some M&M background, who were more satisfied with the course content and instruction. Participants had moderate-to-high levels of engagement in the course, particularly those with no or some M&M background, who were more emotionally engaged. We conclude that sustainable and easily scalable online PD initiatives can result in high levels of satisfaction and engagement among kindergarten teachers, especially those with limited M&M background. This study supports the idea that online PD can be responsive to teachers’ needs and preferences.
Game On: A Journey into Computational Thinking with Modern Board Games in Portuguese Primary Education
Authors: Machuqueiro Fábio , Piedade João
Published: October 2024

Recent studies highlight the potential of modern board games (MBGs) to foster computational thinking (CT) skills in students. This research explored the impact of integrating MBGs into a primary education classroom through an embedded concurrent mixed-methods approach, with a pre-experimental design in its quantitative aspect and content analysis in its qualitative dimension, with 20 fourth-grade students from a school in Portugal. The students participated in 10 game sessions, each lasting 50 min, and their CT skills were assessed using Bebras tasks in both the pre-test and post-test phases. Statistical analysis, including the Shapiro–Wilk test for normality and paired sample t-tests, revealed significant improvements in key CT areas, particularly abstraction, algorithmic thinking, and decomposition. Descriptive statistics were also calculated, and content analysis using Nvivo software was conducted on field notes, corroborating the quantitative data. The results suggest that MBGs can serve as a valuable educational tool for developing CT skills in young learners. This study not only highlights the effectiveness of MBGs but also emphasises the need for further research using more robust experimental designs to enhance CT development in educational settings.
Norwegian Public Health Nursing Students’ Experiences with the Transition from Classroom to Online Lectures: Benefits and Challenges
Authors: Sparboe-Nilsen Bente , Hjellset Victoria Telle , Hagen Milada Cvancarova , Valla Lisbeth
Published: October 2024

The integration of technology in higher education increased online courses available to students, although traditional face-to-face interaction remains dominant. The COVID-19 pandemic forced a rapid transition to emergency remote teaching (ERT), impacting public health nursing (PHN) education in Norway, which primarily consists of adult learners. The impact of the transition to online-only lectures on these students remains largely unexplored. The aim of this study is to examine how Norwegian PHN students experienced the transition from traditional classroom lectures to online-only lectures during the global pandemic. It also identifies the self-reported advantages and challenges associated with online-only lectures and whether this transition affected their perceived learning outcome. A cross-sectional sample of public health nursing (PHN) students (n = 275) participated in a survey in from May to November 2020. The questionnaire was specifically developed for this study and covers student motivation, perceived benefits and challenges of transitioning to online lectures, peer collaboration, and self-assessed learning outcomes. It was distributed to the PHN students via their respective education’s LMS system. Most PHN students managed the technical aspects of the abrupt transition to online-only lectures effectively. They reported high digital competence, found the transition relatively easy, and remained motivated to continue their studies. Despite these positives, students reported a reduction in learning outcomes compared to classroom lectures. Challenges included the missing face-to-face interaction with peers, difficulties in managing childcare, and issues with structuring their studies.
HADNet: A Novel Lightweight Approach for Abnormal Sound Detection on Highway Based on 1D Convolutional Neural Network and Multi-Head Self-Attention Mechanism
Authors: Liang Cong , Chen Qian , Li Qiran , Wang Qingnan , Zhao Kang , Tu Jihui , Jafaripournimchahi Ammar
Published: October 2024

Video surveillance is an effective tool for traffic management and safety, but it may face challenges in extreme weather, low visibility, areas outside the monitoring field of view, or during nighttime conditions. Therefore, abnormal sound detection is used in traffic management and safety as an auxiliary tool to complement video surveillance. In this paper, a novel lightweight method for abnormal sound detection based on 1D CNN and Multi-Head Self-Attention Mechanism on the embedded system is proposed, which is named HADNet. First, 1D CNN is employed for local feature extraction, which minimizes information loss from the audio signal during time-frequency conversion and reduces computational complexity. Second, the proposed block based on Multi-Head Self-Attention Mechanism not only effectively mitigates the issue of disappearing gradients, but also enhances detection accuracy. Finally, the joint loss function is employed to detect abnormal audio. This choice helps address issues related to unbalanced training data and class overlap, thereby improving model performance on imbalanced datasets. The proposed HADNet method was evaluated on the MIVIA Road Events and UrbanSound8K datasets. The results demonstrate that the proposed method for abnormal audio detection on embedded systems achieves high accuracy of 99.6% and an efficient detection time of 0.06 s. This approach proves to be robust and suitable for practical applications in traffic management and safety. By addressing the challenges posed by traditional video surveillance methods, HADNet offers a valuable and complementary solution for enhancing safety measures in diverse traffic conditions.