bluuebunny/crossref_metadata_2025 huggingface dataset:
Delving into the Complexity of Valproate-Induced Autism Spectrum Disorder: The Use of Zebrafish Models
Authors: Camussi Diletta , Naef Valentina , Brogi Letizia , Della Vecchia Stefania , Marchese Maria , Nicoletti Ferdinando , Santorelli Filippo M. , Licitra Rosario
Published: August 2024

Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental condition with several identified risk factors, both genetic and non-genetic. Among these, prenatal exposure to valproic acid (VPA) has been extensively associated with the development of the disorder. The zebrafish, a cost- and time-effective model, is useful for studying ASD features. Using validated VPA-induced ASD zebrafish models, we aimed to provide new insights into VPA exposure effects during embryonic development and to identify new potential biomarkers associated with ASD-like features. Dose–response analyses were performed in vivo to study larval phenotypes and mechanisms underlying neuroinflammation, mitochondrial dysfunction, oxidative stress, microglial cell status, and motor behaviour. Wild-type and transgenic Tg(mpeg1:EGFP) zebrafish were water-exposed to VPA doses (5 to 500 µM) from 6 to 120 h post-fertilisation (hpf). Embryos and larvae were monitored daily to assess survival and hatching rates, and numerous analyses and tests were conducted from 24 to 120 hpf. VPA doses higher than 50 µM worsened survival and hatching rates, while doses of 25 µM or more altered morphology, microglial status, and larval behaviours. VPA 50 µM also affected mRNA expression of inflammatory cytokines and neurogenesis-related genes, mitochondrial respiration, and reactive oxygen species accumulation. The study confirmed that VPA alters brain homeostasis, synaptic interconnections, and neurogenesis-related signalling pathways, contributing to ASD aetiopathogenesis. Further studies are essential to identify novel ASD biomarkers for developing new drug targets and tailored therapeutic interventions for ASD.
The Interplay between Airway Cilia and Coronavirus Infection, Implications for Prevention and Control of Airway Viral Infections
Authors: Dai Xuyao , Xu Ruodan , Li Ning
Published: August 2024

Coronaviruses (CoVs) are a class of respiratory viruses with the potential to cause severe respiratory diseases by infecting cells of the upper respiratory tract, bronchial epithelium, and lung. The airway cilia are distributed on the surface of respiratory epithelial cells, forming the first point of contact between the host and the inhaled coronaviruses. The function of the airway cilia is to oscillate and sense, thereby defending against and removing pathogens to maintain the cleanliness and patency of the respiratory tract. Following infection of the respiratory tract, coronaviruses exploit the cilia to invade and replicate in epithelial cells while also damaging the cilia to facilitate the spread and exacerbation of respiratory diseases. It is therefore imperative to investigate the interactions between coronaviruses and respiratory cilia, as well as to elucidate the functional mechanism of respiratory cilia following coronavirus invasion, in order to develop effective strategies for the prevention and treatment of respiratory viral infections. This review commences with an overview of the fundamental characteristics of airway cilia, and then, based on the interplay between airway cilia and coronavirus infection, we propose that ciliary protection and restoration may represent potential therapeutic approaches in emerging and re-emerging coronavirus pandemics.
Thermodynamic Exercises for the Kinetically Controlled Hydrogenation of Carvone
Authors: Samarov Artemiy A. , Vostrikov Sergey V. , Glotov Aleksandr P. , Verevkin Sergey P.
Published: August 2024

Carvone belongs to the chemical family of terpenoids and is the main component of various plant oils. Carvone and its hydrogenated products are used in the flavouring and food industries. A quantitative thermodynamic analysis of the general network of carvone hydrogenation reactions was performed based on the thermochemical properties of the starting carvone and all possible intermediates and end products. The enthalpies of vaporisation, enthalpies of formation, entropies and heat capacities of the reactants were determined by complementary measurements and a combination of empirical, theoretical and quantum chemical methods. The energetics and entropy change in the hydrogenation and isomerisation reactions that take place during the conversion of carvone were derived, and the Gibbs energies of the reactions were estimated. It was shown that negative Gibbs energies are recorded for all reactions that may occur during the hydrogenation of carvone, although these differ significantly in magnitude. This means that all these reactions are thermodynamically feasible in a wide range from ambient temperature to elevated temperatures. Therefore, all these reactions definitely take place under kinetic and not thermodynamic control. Nevertheless, the numerical Gibbs energy values can help to establish the chemoselectivity of catalysts used to convert carvone to either carvacarol or to dihydro- and terahydrocarvone, either in carvotanacetone or carveol.
Optimizing Human–AI Collaboration in Chemistry: A Case Study on Enhancing Generative AI Responses through Prompt Engineering
Authors: Vidhani Dinesh V. , Mariappan Manoharan
Published: August 2024

“Are we asking the right questions?” seems cliché, but for ChatGPT, it is a pivotal tool to ensure the accuracy of responses. While ChatGPT-3.5’s training on the vast database promises to revolutionize STEM education and research, this investigation shows the importance of precise communication and prompt engineering in guiding ChatGPT-3.5 toward reliable and accurate responses, particularly in chemistry. For instance, emphasizing context, clearly defining symbols, and focusing on field-specific instructions can dramatically improve its performance. Furthermore, avoiding open-ended prompts and strategically using repetition can further enhance its accuracy. The iterative prompt design, demonstrated through a series of adjustments, illustrates how seemingly minor refinements, such as substituting “least” for “lowest”, profoundly impact the output. This study highlights the essential role of human oversight, including the construction of well-crafted prompts, in guarding reliable information and nurturing a productive “Human–AI” (HAI) partnership.
Pediatric Gaucher Disease Type 3 Presenting with Oculomotor Apraxia: A Case Report
Authors: Di Costanzo Margherita , de Paulis Nicoletta , Cannalire Giuseppe , Morelli Nicola , Biasucci Giacomo
Published: August 2024

We report on a 4-year-old boy affected by Gaucher disease (GD) type 3, who presented with splenomegaly and a history of oculomotor apraxia. GD is a rare lysosomal storage disorder caused by glucocerebrosidase deficiency with multi-organ involvement. Besides common clinical features such as hepatosplenomegaly and skeletal involvement, less frequent neurological symptoms, such as oculomotor apraxia, are indicative of neuronopathic forms of the disease, namely GD type 3, to be confirmed both by enzyme activity and genetic testing. Overall, GD management requires a multidisciplinary approach involving metabolic pediatricians, neurologists, psychologists, and geneticists, and currently relies on early enzyme replacement therapy. Although enzyme replacement therapy has proved to be effective in improving systemic signs and symptoms, it is unable to alleviate neurological complications once these have occurred, as it does not pass across the blood–brain barrier. Neurological improvements may occur through indirect mechanisms. Thus, our case report aims to highlight the importance of considering GD in the differential diagnosis of pediatric patients presenting with splenomegaly associated with neurological manifestations, as early intervention may significantly modify the disease progression and prevent further irreversible complications.
Non-Invasive Assessment of Metabolic Dysfunction-Associated Steatotic Liver Disease in Adolescents with Severe Obesity; Patient Characteristics and Association with Leptin—A Cross-Sectional Overview of Baseline Data from a RCT
Authors: de Boom Fien , Talib Ali , Roebroek Yvonne G. M. , Paulus Givan F. , Koek Ger H. , Robben Simon G. F. , Winkens Bjorn , Bouvy Nicole D. , van Heurn L. W. Ernest
Published: August 2024

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common liver disease in adolescents with obesity. Nonetheless, the guidelines for screening and managing this disease are contradictory. The purpose of this study is to non-invasively assess the prevalence, patient characteristics, and potential associated factors of MASLD in this demographic. Methods: This study used baseline data from an RCT in adolescents eligible for bariatric surgery. MASLD was determined by measuring the hepatorenal index (HRI) with ultrasonography, blood liver tests, and the fatty liver index (FLI). Results: A total of 56 adolescents enrolled in the analyses; the majority were female n = 44 (79%); the mean age was 15.75 (±1.01) years; the average body mass index (BMI) was 44.08 (±5.16) kg/m2. In 35 (62.5%) of the patients, the HRI was abnormal. This group had a higher waist/hip ratio, elevated liver biochemistry, and significantly lower leptin levels (mean difference = −46.35, 95% CI −76.72, −15.99) compared to the group with a normal HRI. In 32 (55.2%) of the patients, ALT levels were elevated and the FLI was abnormal in all (100%) participants. Linear regression analysis indicated associations between the HRI and typical anthropometric and metabolic measurements; and an inverse association between HRI and leptin B = −0.003 (95% CI −0.005, −0.00), independently of sex- and age-adjusted BMI. Conclusions: MASLD is highly prevalent in adolescents with severe obesity. However, the prevalence strongly depends on which tool is used, namely the HRI (62.5%), alanine transaminase levels (55.2%), and FLI (100%). Our findings suggest that leptin may be a valuable biomarker in supporting the diagnosis of MASLD.
Inclusion Goals: What Sex Education for LGBTQIA+ Adolescents?
Authors: Eleuteri Stefano , Girardi Marta , Spadola Rossella , Todaro Elisabetta
Published: August 2024

According to the World Health Organization and the World Association for Sexual Health (WAS) Declaration of Sexual Rights, sex education aims to provide children and adolescents with comprehensive knowledge, skills, attitudes, and values, promoting equality and nondiscrimination while upholding freedom of thought and expression. However, current school curricula often focus on dichotomous sexual identity and hetero-cis-normative prevention strategies, neglecting the needs of gender minority (GM) and sexual minority (SM) youths. In family settings, discussions typically revolve around sexual risk reduction and basic contraception, omitting relational aspects and components of sexual identity such as orientations and gender expressions. This discrepancy highlights a gap between the official goals of sex education and its practical implementation, reflecting a cultural deficit in familial sex education. This study reviews the scientific literature on sexual health promotion interventions from 2015 to 2024 to identify inclusive approaches that enhance the participation of all youths, not just hetero-cis-normative individuals. The hypothesis is that most interventions primarily serve heterosexual and cisgender youths, indicating a need for more inclusive strategies to achieve better sexual health and educational outcomes. The study also suggests expanding curricula to align with recognized guidelines and the diverse needs of youth.
Beyond the Classroom: Investigating the Relationship between Psychomotor Development and Academic Achievement in 4–12-Year-Olds
Authors: Amorim Nídia , Marques Adilson , Santos Sofia
Published: August 2024

Background/Objectives: The relevance of psychomotor skills in children’s growth is being increasingly recognized. The transversal role of psychomotor skills in learning performance is described through a link between cognitive and motor functioning, promoting socio-affective–expressive competencies, but there is a scarcity of evidence from the field. A two-fold goal was defined: to investigate the relationship between psychomotor functions and academic performance and to examine the factors affecting children’s academic performance. Methods: The Portuguese versions of the Neuropsychomotor Functions Assessment Battery for Children (NPmot.pt), Preschool Diagnostic Tasks (PRE), and School Learning Skills Battery (SLSB) were applied to 350 children (85.72 ± 24.23 months) with and without disabilities attending mainstream schools. Results: Pearson correlations and regression analyses were used. NPmot.pt domains showed moderate to strong correlations with PRE domains (0.30 < r < 0.82) and weak ones with SLSB domains (r < 0.30). Psychomotor development is a stronger predictor (p < 0.001) of pre-academic performance outcomes: (βTonus = 0.67, βGross Motor Skills = 1.04, βSpatial Orientation = −1.44, βRhythm = −1.59 and βAuditory Attention = 3.68) than of academic performance above 7 years old (p > 0.05). Conclusions: Results strengthen the importance of psychomotor skills development from an early age, also at school, with implications for an early psychomotor assessment and intervention for children with and without disabilities. Tailor-fit interventions, including strategies to improve psychomotor skills, should be promoted during the school process of all children for a successful learning process.
Enjoyment in Sport and Alcohol Use among Adolescents: Examining the Mediating Role of Engagement
Authors: Schmidt Vanina , Corti Juan Facundo , Celsi Ignacio , Raimundi María Julia , Castillo Isabel
Published: August 2024

Background: Alcohol consumption among young people is a significant public health concern. Previous studies have indicated that participation in sports, through the positive experiences it offers, may function as a protective factor against alcohol intake. This study aimed to examine the influence of enjoyment and personal fulfillment on adolescent alcohol use, exploring the role of engagement with sports as a mediating variable. Methods: A total of 370 adolescents (mean age = 15.08; SD = 1.48) participated in the study and completed the Alcohol Use Disorder Identification Test, the Enjoyment in Sports Scale, and the Athlete Engagement Questionnaire. Results: The results demonstrated that enjoyment is related to lower alcohol consumption through personal fulfillment and engagement in sporting activity. Conclusions: It is crucial to facilitate positive experiences in sport that promote engagement and generate a sense of personal fulfillment, as these factors may reduce the likelihood of risky alcohol consumption.
A Local Experience of Antibiotic Lock Therapy as an Adjunctive Treatment for Central Venous Catheter-Related Bloodstream Infections in Pediatric Oncology and Hematology Patients
Authors: de Frutos Porras Elena , Cobo-Vázquez Elvira , Hernanz Lobo Alicia , Santos Sebastián María del Mar , Pérez Fernández Elia , Garrido Colino Carmen , Cela Elena , Navarro Gómez María Luisa
Published: August 2024

Background: One of the main drawbacks of tunneled central venous catheters (CVCs) is catheter-related bloodstream infections (CRBSIs). Antibiotic lock therapy (ALT) can be combined with systemic antibiotics to achieve catheter salvage. Our objectives are to describe cases of CRBSI and our experience with ALT in a pediatric oncology–hematology ward. Methods: a retrospective descriptive study of pediatric CRBSI cases in a Spanish oncology–hematology unit from 2007 to 2017 was conducted. We collected demographic, clinical, and microbiological data from all patients. Results: fifty-eight CRBSIs were diagnosed in thirty-nine patients; 72.9% of these patients were male, with a median age of 42.1 months. The main underlying diseases were leukemia/lymphoma (51.7%) and solid tumors (32.7%). Thirty-five (60.3%) CRBSIs were caused by Gram-positive cocci, of which 70.6% were coagulase-negative Staphylococci, and sixteen (27.6%) were caused by Gram-negative bacilli. We treated 41/58 (71%) cases with ALT. A total of 12/17 (71%) CVCs that were not treated with adjunctive ALT were removed, compared with 13/41 (32%) that were treated with ALT (relative risk (RR), 0.449; confidence interval (CI), 95%: 0.259–0.778, p = 0.004). Major reasons to remove the CVC in the CRBSI-ALT group were local insertion/pocket site infection (23%), persistent symptoms (23%), and infectious’ relapses (15%). Conclusions: ALT was shown to be an effective approach to keeping the CVC in place, with no added adverse effects.
Correlation between Maternal Systemic Inflammatory Indicators before Delivery and Congenital Pneumonia in Newborns: A Case–Control Study
Authors: Bao Tianping , Yu Bingrui , Chen Yu , Zhang Yuan , Cheng Huaiping , Tian Zhaofang
Published: August 2024

Background: Congenital pneumonia is a common respiratory disease in newborns, often influenced by obstetric factors. Clinical diagnosis can be delayed, prompting interest in using systemic inflammatory indicators to predict various diseases. Objective: Our aim was to evaluate the predictive value of maternal systemic inflammatory indicators before delivery for congenital pneumonia in newborns. Methods: This retrospective study included full-term, singleton infants born at the Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University between January 2017 and December 2022. Infants admitted to the neonatal department within 48 h of birth were divided into two groups: 46 with clinical congenital pneumonia (the observation group) and 65 without congenital pneumonia (the control group). Maternal peripheral blood, complete blood cell count, and general condition within 72 h before delivery, as well as neonatal admission data were recorded. Systemic inflammatory indicators were assessed. Receiver operating characteristic curves were used to evaluate the predictive value of the maternal systemic inflammatory indicators before delivery for congenital pneumonia. A prediction model for neonatal pneumonia was constructed by combining systemic inflammatory indicators before delivery with logistic regression. The association between this prediction model and the prognosis of neonatal congenital pneumonia was examined. Results: Maternal systemic inflammatory indicators before delivery as predictive markers for congenital pneumonia and the regression model jointly constructed by NLR, MLR, SII, SIRI, and PIV before delivery predicted the occurrence of congenital pneumonia better. Maternal systemic inflammatory indicators correlated with the severity of congenital pneumonia in neonates. Conclusions: Maternal systemic inflammatory indicators before delivery have predictive value for congenital pneumonia in neonates, aiding early identification and treatment.
Enhancing Ecological Validity: Virtual Reality Assessment of Executive Functioning in Children and Adolescents with ADHD
Authors: Romero-Ayuso Dulce , del Pino-González Antonio , Torres-Jiménez Antonio , Juan-González Jorge , Celdrán Francisco Javier , Franchella María Constanza , Ortega-López Nuria , Triviño-Juárez José Matías , Garach-Gómez Ana , Arrabal-Fernández Luisa , Medina-Martínez Inmaculada , González Pascual
Published: August 2024

Background: SmartAction-VR uses virtual reality to simulate daily life tasks and assess cognitive performance based on the multi-errand paradigm. This study explored whether this new task could provide insights into the executive functioning of children and adolescents with ADHD in their everyday activities. Methods: A cross-sectional study was conducted between November 2021 and December 2022. It consisted of one session and was divided into two parts (cognitive tests; and SmartAction-VR). The sample comprised 76 children and adolescents with a median age (IQR) of 13 (11–14) years and an age range of 9–17 years. Of these participants, 60.50% (n = 46) were males. Out of this sample, 40 participants were in the ADHD group and 36 were in the neurotypical group. The following instruments were used: Waisman Activities of Daily Living Scale, Assessment of Sensory Processing and Executive Functioning, Pediatric Simulator Disease Questionnaire, Digit span subtest, Stroop test, NEPSY-II Subtest of Auditory Attention and Cognitive Flexibility, Trail Making Test, Zoo Map Test, and SmartAction-VR. Results: The ADHD group demonstrated lower accuracy (U = 406, p = 0.010), higher values for total errors (U = 292, p = 0.001), more commissions (U = 417, p = 0.003), new actions (U = 470, p = 0.014), and forgetting actions (U = 406, p = 0.010), as well as fewer perseverations compared to the neurotypical group (U = 540.5, p = 0.029). Additionally, participants who forgot more actions were found to have lower independence in daily life (r = −0.281, p = 0.024). Conclusions: The correlations between the results of SmartAction-VR and activities of daily living, as well as cognitive tests, suggest that this new task could be useful for evaluating executive functioning in daily life.
From Pancytopenia to Hyperleukocytosis, an Unexpected Presentation of Immune Reconstitution Inflammatory Syndrome in an Infant with Methylmalonic Acidemia
Authors: Sassine Samuel , Remy Amandine , Demaret Tanguy , Proulx François , Autmizguine Julie , Kakkar Fatima , Tran Thai Hoa , Laverdière Caroline , Cunan Ellery T. , Maftei Catalina , Mitchell Grant , Decaluwe Hélène , Hindié Jade
Published: August 2024

A 2.5-month-old girl admitted for failure to thrive and severe pancytopenia was diagnosed with methylmalonic acidemia (MMA) secondary to transcobalamin II deficiency, an inborn error of vitamin B12 metabolism. Opportunistic Cytomegalovirus and Pneumocystis jirovecii pneumonia led to severe acute respiratory distress syndrome (ARDS) and immune reconstitution inflammatory syndrome (IRIS) after treatment initiation with vitamin B12 supplementation. In children with interstitial pneumonia-related ARDS, normal lymphocyte count should not delay invasive procedures required to document opportunistic infections. MMA can be associated with underlying lymphocyte dysfunction and vitamin B12 supplementation can fully reverse the associated immunodeficiency. IRIS may appear in highly treatment-responsive forms of pancytopenia in children and prompt treatment of dysregulated inflammation with high-dose corticosteroids should be initiated.
Genetic Basis of Hypertrophic Cardiomyopathy in Cats
Authors: Grzeczka Arkadiusz , Graczyk Szymon , Pasławski Robert , Pasławska Urszula
Published: August 2024

Hypertrophic cardiomyopathy (HCM) is a common cardiovascular condition in cats, affecting yth males and females of all ages. Some breeds, such as Ragdolls and Maine Coons, can develop HCM at a young age. The disease has a wide range of progression and severity, characterized by various pathological changes in the heart, including arteritis, fibrous tissue deposition, and myocardial cell hypertrophy. Left ventricular hypertrophy, which can restrict blood flow, is a common feature of HCM. The disease may persist into old age and eventually lead to heart failure and increased diastolic pressure. The basis of HCM in cats is thought to be genetic, although the exact mechanisms are not fully understood. Mutations in sarcomeric proteins, in particular myosin-binding protein C (MYBPC3), have been identified in cats with HCM. Two specific mutations, MYBPC3 [R818W] and MYBPC3 [A31P], have been classified as ‘pathogenic’. Other variants in genes such as MYBPC3, TNNT2, ALMS1, and MYH7 are also associated with HCM. However, there are cases where cats without known genetic mutations still develop HCM, suggesting the presence of unknown genetic factors contributing to the disease. This work aims to summarise the new knowledge of HCM in cats and the alterations in cardiac tissue as a result of genetic variants.
Friction and Wear Behavior of 3D-Printed Inconel 718 Alloy under Dry Sliding Conditions
Authors: Karagiannidis Ioannis , Tzanis Athanasios , Drees Dirk , Lopes Lais , Chondrakis Georgios , Dardavila Maria Myrto , Georgiou Emmanuel , Koutsomichalis Angelos
Published: August 2024

Tailor-made materials used for advanced applications are nowadays of great research interest in various industrial and technological fields, ranging from aerospace and automotive applications to consumer goods and biomedical components. In the present research, Inconel 718 superalloy specimens were fabricated by the selective laser melting (SLM) technique. Structural characterization of the 3D-printed samples showed that they consisted of γ solid solution along with spherical carbide particles. To explore the applicability of these materials in abrasive tribological applications, reciprocating sliding tests were performed under dry conditions versus an Al2O3 counter-body. A 3D representation (triboscopy) of the tangential force during each sliding cycle was carried out in order to obtain better insight on the evolution of friction and to visualize localized tribological phenomena. Quantification of wear was performed with confocal microscopy and the wear mechanisms were analyzed with SEM and EDS techniques. Furthermore, the effect of surface finishing (as-printed and polished) on friction and wear were also investigated, and a comparison with other industrial materials is also included to evaluate the applicability of these alloys. The results indicated that surface finishing had an effect on friction during the run-in stage, whereas in steady-state conditions, no significant differences were observed between the as-printed and polished specimens. In all cases, the main wear mechanisms observed were a mixture of two-body and three-body abrasion, along with oxidative wear (indicated by the formation of an oxide-based tribo-layer).
Effect of Two Types of Pomelo Peel Flavonoid Microcapsules on the Performance of Water-Based Coatings on the Surface of Fiberboard
Authors: Deng Jinzhe , Ding Tingting , Yan Xiaoxing
Published: August 2024

In order to achieve antibacterial properties in water-based coatings, two types of antibacterial pomelo peel flavonoid microcapsules were added to water-based coatings and decorated on the surface of fiberboard. The surface coatings of the substrates were tested and analyzed. The antibacterial rate of the surface coatings of the two groups of fiberboards gradually increased with the increase in the content of the microcapsules. The color difference of the surface coatings of both groups increased slightly, the glossiness decreased, the gloss loss rate increased greatly, and the reflectivity increased slightly. The adhesion of the surface coatings of the two groups of fiberboards did not change significantly, the roughness gradually increased, the hardness of the melamine-resin-coated pomelo peel flavonoid microcapsules gradually increased, and the impact resistance slightly improved. Compared with the antibacterial results of the coating without substrate at the same content, the antibacterial effect of the fiberboard surface coating was slightly decreased. Overall, the surface coating on the fiberboard with 9.0% chitosan-coated pomelo peel flavonoid microcapsules demonstrated superior performance, superior coating morphology, and enhanced antibacterial properties. The antibacterial rate was 73.7% against Escherichia coli, and the antibacterial rate was 77.4% against Staphylococcus aureus. The color difference was 3.85, the gloss loss rate was 90.0%, and the reflectivity was 20.19%. The hardness was HB, the adhesion was level 1, the impact resistance level was 3, and the roughness was 1.94 μm. This study explored the effect of antibacterial microcapsules on coating performance, providing a technical basis for the application of the antibacterial microcapsules.
Effect of Organic–Inorganic Mixed Intumescent Flame Retardants on Fire-Retardant Coatings
Authors: Ma Liyong , Song Qingfeng , Dong Fang , Yang Hongli , Xia Zihao , Liu Jianlin
Published: August 2024

Expandable graphite (EG) was modified with a charring agent and organic–inorganic hybridized intumescent flame retardants (MEG) were synthesized. This study uses a cone calorimeter (CCT) and a DaqPRO 5300 radiation heat flow meter (Fourtec, Tel Aviv, Israel) to evaluate the fire-resistant properties influenced by MEG on intumescent fire-retardant coatings. The impact of MEG on the thermal degradation of these coatings was investigated through the use of thermogravimetric analysis (TGA). The results obtained by CCT demonstrated that the incorporation of MEG markedly diminished the heat release rate and total heat release rate of the coating, in addition to enhancing the char residue compared to coatings with only expandable graphite (EG). Furthermore, TGA results demonstrate that adding MEG increases the weight of the char residue at elevated temperatures, suggesting improved thermal stability. Based on these findings, MEG exhibits a synergistic flame-retardant effect when combined with intumescent fire-retardant (IFR) systems. This synergy not only improves the flame-retardant properties of the coatings but also enhances their overall thermal stability, making MEG a promising additive for developing more efficient fire-retardant materials. Thus, MEG-modified coatings offer superior protection against fire hazards, highlighting their potential for practical applications in fire safety.
Contextualizing Measurement: Establishing a Construct and Content Foundation for the Assessment of Cancer-Related Dyadic Efficacy
Authors: Brosseau Danielle C. , Peláez Sandra , Ananng Bethsheba , Körner Annett
Published: August 2024

This paper illustrates a rigorous approach to the initial phases of scale development when evaluating an existing construct, dyadic efficacy, in a new population. Cancer-related dyadic efficacy represents a couples’ confidence in their conjoint abilities to manage the effects of cancer. Two samples of individuals diagnosed with cancer and their partners, along with a professional panel, contributed lay and content expertise, respectively. Thematic analysis was used to describe cancer-related dyadic efficacy and identify content domains. Cancer-related dyadic efficacy was conceptualized as multidimensional, consistent with relational functioning, and distinct from self-efficacy. A pool of 50 items was developed to assess eight content domains grouped into three main themes: dyadic efficacy for managing (a) illness intrusions, (b) emotional responses and (c) communication and care for children. This paper responds to calls for more rigorous reporting of the qualitative procedures required to establish a conceptual grounding for a new scale.
Postoperative Acute Intracranial Hemorrhage and Venous Thromboembolism in Patients with Brain Metastases Receiving Acetylsalicylic Acid Perioperatively
Authors: Tonchev Nikolay , Pinchuk Anatoli , Dumitru Claudia A. , Neyazi Belal , Swiatek Vanessa Magdalena , Stein Klaus Peter , Sandalcioglu Ibrahim Erol , Rashidi Ali
Published: August 2024

Cranial operations are associated with a high risk of postoperative intracranial hemorrhage (pICH) and venous thromboembolic events, along with increased mortality and morbidity. With the use of acetylsalicylic acid (ASA) for prophylaxis becoming more prevalent, the risk of bleeding when ASA is administered preoperatively is unknown, as are the effects of discontinuation upon the occurrence of thromboembolic events, especially in societies with aging demographics. To address these questions, a retrospective analysis was performed using medical records and radiological images of 1862 patients subjected to brain tumor surgery over a decade in our department. The risk of pICH was compared in patients with metastases receiving ASA treatment versus patients not receiving ASA treatment. The occurrence of venous thromboembolic events after surgery was also evaluated. The study group consisted of 365 patients with different types of brain metastases. In total, 20 patients suffered pICH and 7 of these were associated with clinical neurological deterioration postoperatively. Of the 58 patients who took ASA preoperatively, 2 patients experienced pICH, compared with 5 patients in the non-ASA impact group (p = 0.120). Patients who took ASA were not at significantly higher risk of pICH and therefore a worse outcome compared to the group without ASA. Therefore, these data suggest that in patients at high cardiovascular risk, ASA can be safely continued during elective brain tumor surgery.
Patterns of Species Richness and Its Endemism of Beetles in the Beijing–Tianjin–Hebei Region of China
Authors: Niu Yuxian , Ren Guodong
Published: August 2024

The Beijing–Tianjin–Hebei region lies between the Mongolia-Xinjiang Zoogeographic Region and the Central China Zoogeographic Region in China, harboring relatively rich biodiversity. This study specifically examined the species diversity, richness and endemic areas of beetles in this area. By analyzing 5965 detailed distribution records of 2047 beetle species in the Beijing–Tianjin–Hebei region, the species richness maps were created with a grid size of 0.5°. Additionally, two methods, parsimony analysis of endemism (PAE) and endemicity analysis (EA) were applied to detect areas of endemism (AOEs) with different grid sizes (0.1°, 0.25° and 0.5°), resulting in the identification of three AOEs in the southern mountainous areas of the Taihang Mountains, Yanshan Mountains, and Xiaowutai Mountains. It also verified that AOEs are consistent with the hypothesis that endemic areas are predominantly located in mountain ranges, as proposed by previous related studies. These findings highlight the importance of complex topography and stable climate in shaping AOEs and conserving biodiversity.
The Impacts of Dietary Intervention on Brain Metabolism and Neurological Disorders: A Narrative Review
Authors: Rathor Priya , Ch Ratnasekhar
Published: August 2024

Neurological disorders are increasing globally due to their complex nature, influenced by genetics and environmental factors. Effective treatments remain limited, and early diagnosis is challenging. Recent evidence indicates that metabolic activities play a crucial role in the onset of neural defects. Molecular changes offer new diagnostic markers and dietary targets for disease management. Diets such as MIND, DASH, omega-3 fatty acids, and polyphenols show promise in protecting brain metabolism through their anti-inflammatory properties. Personalized dietary interventions could mitigate neurodegenerative diseases. This review highlights the effects of various dietary interventions, including calorie restriction, fasting, and ketogenic diets, on neurological disorders. Additionally, it emphasizes the nutritional impacts on immunomodulation and the underlying mechanisms, including the influence of gut microbiota on brain function. Dietary interventions could serve as adjunctive therapies in disease management.
Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective
Authors: Abbas A. H. , Abdel-Ghani Hend , Maksymov Ivan S.
Published: August 2024

Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-driving cars may consume up to 50% of the total power available onboard, thereby limiting the vehicle’s range of functions and considerably reducing the distance the vehicle can travel on a single charge. Next-generation onboard AI systems need an even higher power since they collect and process even larger amounts of data in real time. This problem cannot be solved using traditional computing devices since they become more and more power-consuming. In this review article, we discuss the perspectives on the development of onboard neuromorphic computers that mimic the operation of a biological brain using the nonlinear–dynamical properties of natural physical environments surrounding autonomous vehicles. Previous research also demonstrated that quantum neuromorphic processors (QNPs) can conduct computations with the efficiency of a standard computer while consuming less than 1% of the onboard battery power. Since QNPs are a semi-classical technology, their technical simplicity and low cost compared to quantum computers make them ideally suited for applications in autonomous AI systems. Providing a perspective on the future progress in unconventional physical reservoir computing and surveying the outcomes of more than 200 interdisciplinary research works, this article will be of interest to a broad readership, including both students and experts in the fields of physics, engineering, quantum technologies and computing.
Blockchain and Artificial Intelligence Non-Formal Education System (BANFES)
Authors: Nazari Zahra , Vahidi Abdul Razaq , Musilek Petr
Published: August 2024

The resurgence of the Taliban in Afghanistan has significantly exacerbated educational challenges for marginalized women and girls, deepening gender disparities and impeding socio-economic development. Addressing these issues, this article introduces the Blockchain and Artificial Intelligence Non-Formal Education System (BANFES), an innovative educational solution specifically designed for Afghan girls deprived of formal schooling. BANFES leverages advanced artificial intelligence technologies, including personalized data analysis, to provide customized learning experiences. Additionally, blockchain technology ensures secure record management and data integrity, facilitating a decentralized educational ecosystem where various nodes offer hybrid learning methodologies without intermediaries. This system not only adapts to individual learning speeds and styles to enhance engagement and outcomes but also employs an independent assessment mechanism to evaluate learners. Such evaluations promote transparency and maintain the quality and reputation of educational contributions within the network. The BANFES initiative also addresses implementation challenges, including local distrust and integration with existing educational structures, providing a robust model to overcome barriers to education. Furthermore, the paper explores the scalability of BANFES, proposing its application as a global strategy for non-formal education systems facing similar geopolitical and infrastructural challenges. By creating a secure, flexible, and learner-focused environment, BANFES aims to empower Afghan women and girls with essential skills for personal and professional growth, thus fostering socioeconomic advancement within their communities and setting a new standard for informal education worldwide.
A Shared-Road-Rights Driving Strategy Based on Resolution Guidance for Right-of-Way Conflicts
Authors: Li Mei , Li Guisheng , Sun Chuan , Yang Junru , Li Haoran , Li Jialin , Li Fei
Published: August 2024

In addressing the critical issue of right-of-way conflicts in mixed-traffic environments, this paper introduces a novel shared right-of-way driving strategy that encompasses two guiding frameworks for resolution. The first framework applies to active lane changing. Before lane changing occurs, this framework allocates the right of way for autonomous vehicles (AVs). Based on the allocated right of way, the AVs decide whether to send a request for a shared right of way to relevant vehicles. To enhance lane-changing comfort, the vehicle assesses whether the variance of roll and lateral acceleration exceeds a preset threshold, ultimately deciding whether to proceed with the lane change. The second framework pertains to passive lane changing. After detecting an obstacle, this framework allocates the right of way. The AVs calculate acceleration based on their speed and distance from the obstacle, using this information to determine whether to change lanes or decelerate in order to avoid the obstacle. If lane changing is chosen, further evaluation is necessary. Based on the allocated right of way, the AVs decide whether to request a shared right of way from relevant vehicles. To improve lane-changing comfort, the AVs compare the variance of roll and lateral acceleration with that of pitch and longitudinal acceleration, and then they decide whether to proceed with the lane change. The proposed strategy has been validated in various scenarios, including high-speed (105 km/h), low speed (13 km/h), and general scenarios with AVs and obstacles at a distance of 125 m. The results show that the strategy effectively functions in both high-speed and low-speed scenarios.
Research on Vehicle Stability Control Based on a Union Disturbance Observer and Improved Adaptive Unscented Kalman Filter
Authors: Li Jing , Feng Baidong , Zhang Le , Luo Jin
Published: August 2024

This paper considers external disturbances imposed on vehicle systems. Based on a vehicle dynamics model of the vehicle with three degrees of freedom (3-DOFs), a union disturbance observer (UDO) composed of a nonlinear disturbance observer (NDO) and an extended state observer (ESO) was designed to obtain external disturbances and unmodeled items. Meanwhile, an improved adaptive unscented Kalman filter (iAUKF) with anti-disturbance and anti-noise properties is proposed, based on the UDO and the unscented Kalman filter (UKF) method, to evaluate the sideslip angle of vehicle systems. Finally, a vehicle yaw stability controller was designed based on UDO and the global fast terminal sliding mode control (GFTSMC) method. The results of co-simulation demonstrated that the proposed UDO was effectively able to observe external disturbances and unmodeled items. The proposed iAUKF, which considers external disturbances, not only achieves adaptive updating and adjustment of filtering parameters under different sensor noise intensities but can also resist external disturbances, improving the estimation accuracy and robustness of the UKF. In the anti-disturbance performance test, the maximum estimation error of the sideslip angle of the iAUKF under the three working conditions was less than 0.1°, 0.02°, and 0.5°, respectively. Based on the UDO and the GFTSMC, a vehicle yaw stability controller is described, which improves the accuracy of control and the robustness of the vehicle’s stability control system and greatly strengthens the driving safety of the vehicle.
How Do Plant Landscapes Provide Health Benefits to Residents in Urban Green Spaces? Exploring the Role of Restorative Experiences
Authors: Zhang Yuling , Fang Yuting , Wang Mengqing , Li Wenjing
Published: August 2024

Plants are considered important elements of ecosystems and benefit the health of human society. However, it is unclear which attributes of plant landscapes effectively influence residents’ health in urban areas and whether this influence is moderated by other factors, such as stress. This study considers the link between the plant landscape and residents’ experiences and health benefit perceptions. The possible structural relationships between them are verified with structural equation modeling on the basis of stimulus–organism–response theory and attention restoration theory. In addition, the mediating effect and moderating effect are tested via the SPSS Process program. The results indicate that two dimensions of plant landscapes, landscape esthetics/ functionality and vegetation density, influence residents’ restorative experiences and, in turn, impact health. Only the compatibility experience and the being-away experience mediate the relationship between the plant landscape and perceived health benefits. Stress does not moderate the mediating effect of restorative experiences on the relationship between plant landscapes and perceived health benefits. On the basis of these findings, valuable information is offered concerning forest city construction and urban green space planning for the purpose of generating desirable public health and well-being.
Quantifying Blowdown Disturbance in Overstory Retention Patches in Managed Nothofagus pumilio Forests with Variable Retention Harvesting
Authors: Martínez Pastur Guillermo , Rodríguez-Souilla Julián , Bottan Lucía , Favoretti Santiago , Cellini Juan M.
Published: August 2024

The natural resilience of the forests to face impacts of blowdown damages was affected by harvesting operations. Variable retention harvesting (VRH) increases forest structure heterogeneity in managed stands and decreases blowdown damages. The objective of this study was to characterize blowdown in Nothofagus pumilio forests managed with VRH in Southern Patagonia (Argentina). We analyzed long-term plots and one area affected by a windstorm after harvesting (exposure to winds and influence of retention patches) using univariate analyses. We found a differential impact in retention patches compared to dispersed retention after a windstorm considering aspect and distance to edge (e.g., blowdown trees: F = 6.64, p < 0.001). The aspect in retention patches presented few structural differences before the windstorm (e.g., tree diameter: F = 3.92, p = 0.014) but was not greatly influenced by the received damage after the windstorm. In long-term plots, we found that aspect and location in patches (distance to edge) determined the tree stability. We also found differences in wind damage considering retention level and design (e.g., aggregates and dispersed retention vs. aggregates and clear-cuts). We conclude that VRH increased the heterogeneity in harvested areas, where retention patches presented greater resilience in confronting extreme climate events and decreased recurrent wind exposure impacts in the long term. We found the marginal influence of aspect in the retention patches despite dominant winds and damages received by remnant trees during harvesting.
Multi-Agent Deep-Q Network-Based Cache Replacement Policy for Content Delivery Networks
Authors: Dassanayake Janith K. , Wang Minxiao , Hameed Muhammad Z. , Yang Ning
Published: August 2024

In today’s digital landscape, content delivery networks (CDNs) play a pivotal role in ensuring rapid and seamless access to online content across the globe. By strategically deploying a network of edge servers in close proximity to users, CDNs optimize the delivery of digital content. One key mechanism involves caching frequently requested content at these edge servers, which not only alleviates the load on the source CDN server but also enhances the overall user experience. However, the exponential growth in user demands has led to increased network congestion, subsequently reducing the cache hit ratio within CDNs. To address this reduction, this paper presents an innovative approach for efficient cache replacement in a dynamic caching environment while maximizing the cache hit ratio via a cooperative cache replacement policy based on reinforcement learning. This paper presents an innovative approach to enhance the performance of CDNs through an advanced cache replacement policy based on reinforcement learning. The proposed system model depicts a mesh network of CDNs, with edge servers catering to user requests, and a main source CDN server. The cache replacement problem is initially modeled as a Markov decision process, and it is extended to a multi-agent reinforcement learning problem. We propose a cooperative cache replacement algorithm based on a multi-agent deep-Q network (MADQN), where the edge servers cooperatively learn to efficiently replace the cached content to maximize the cache hit ratio. Experimental results are presented to validate the performance of our proposed approach. Notably, our MADQN policy exhibits superior cache hit ratios and lower average delays compared to traditional caching policies.