bluuebunny/crossref_metadata_2025 huggingface dataset:
Photoprotective Effect of Ultrasonic-Assisted Ethanol Extract from Sargassum horneri on UVB-Exposed HaCaT Keratinocytes
Authors: Kirindage Kirinde Gedara Isuru Sandanuwan , Jayasinghe Arachchige Maheshika Kumari , Ko Chang-Ik , Ahn Yong-Seok , Heo Soo-Jin , Kim Eun-A , Cho Nam-Ki , Ahn Ginnae
Published: November 2024

The present study investigated the photoprotective effect of the ultrasonic-assisted ethanol extract (USHE) from Sargassum horneri, a brown seaweed containing fucosterol (6.22 ± 0.06 mg/g), sulfoquinovosyl glycerolipids (C23H43O11S, C25H45O11S, C25H47O11S, C27H49O11S), and polyphenols, against oxidative damage in ultraviolet B (UVB)-exposed HaCaT keratinocytes. USHE indicated antioxidant activity in ferric-reducing antioxidant power (FRAP) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging. After screening experiments, 15.6, 31.3, and 62.5 µg/mL concentrations of USHE and ascorbic acid as positive control were selected to be used throughout the investigation. USHE increased cell viability by markedly reducing the production of intracellular reactive oxygen species (ROS) in UVB-exposed HaCaT keratinocytes. Additionally, USHE reduced the apoptosis and sub-G1 cell population and increased the mitochondrial membrane potential. Moreover, USHE modulated the protein expression levels of anti-apoptotic molecules (Bcl-xL, Bcl-2, and PARP) and pro-apoptotic molecules (Bax, cleaved caspase-3, p53, cleaved PARP, and cytochrome C). This modulation accorded with the upregulation of cytosolic heme oxygenase (HO)-1, NAD(P)H quinone oxidoreductase 1 (NQO 1), and nuclear factor erythroid-2-related factor 2 (Nrf2), collectively known as components of the antioxidant system. These findings suggest that USHE has a photoprotective effect on UVB-exposed HaCaT keratinocytes and can be utilized to develop cosmeceuticals for UVB protection.
Studying the Constitutive Model of Damage for a Stainless Steel Argon–Oxygen Decarburization Slag Mixture
Authors: Huang Liuyun , Lan Zhuxin , Wei Guogao , Chen Yuliang , Li Tun
Published: November 2024

The purpose of this study was to fully explore the mechanical properties of five different doses of an Argon–Oxygen Decarburization slag mixture in an unconfined compressive strength test. The peak stress, elastic modulus, and stress–strain curve of the mixture were studied for 90 days. Based on the experimental data and according to the theory of damage mechanics, the concept of damage threshold (t) was introduced to construct a damage constitutive model. Referring to the damage threshold of concrete, that of the mixture was determined to be 0.7 times higher than the peak strain, and the correlation coefficient between the established model and the test curve was above 0.85. These results indicate that the addition of AOD slag and fly ash can cause hydration reactions, increase the quantity of hydration products, and enhance the peak stress and elastic modulus of the mixture. The maximum increases were 94.9% and 43.1%, respectively. Parameters a and b reflect the peak stress and brittleness of the mixture, respectively. The incorporation of Argon–Oxygen Decarburization slag can make the mixture less brittle and improve its properties. The incorporation of Argon–Oxygen Decarburization slag can protect the mixture from damage. The maximum decrease is 40.2%.
Structure Deterioration Identification and Model Updating for Prestressed Concrete Bridges Based on Massive Point Cloud Data
Authors: Sun Zhe , Zhao Sihan , Liang Bin , Liu Zhansheng
Published: November 2024

As a critical component of the transportation system, the safety of bridges is directly related to public safety and the smooth flow of traffic. This study addresses the aforementioned issues by focusing on the identification of bridge structure deterioration and the updating of finite element models, proposing a systematic research framework. First, this study presents a preprocessing method for bridge point cloud data and determines the parameter ranges for key algorithms through parameter tuning. Subsequently, based on the massive point cloud data, this research explores and optimizes the methods for identifying bridge cracks and spatial deformations, significantly enhancing the accuracy and efficiency of identification. On this basis, the particle swarm optimization algorithm is employed to optimize the key parameters in crack detection, ensuring the reliability and precision of the algorithm. Additionally, the study summarizes the methods for detecting bridge structural deformations based on point cloud data and establishes a framework for updating the bridge model. Finally, by integrating the results of bridge crack and deformation detection and combining Bayesian model correction and adaptive nested sampling methods, this research sets up the process for updating finite element model parameters and applies it to the analysis of actual bridge point cloud data.
Maximum Penalized Likelihood Estimation of the Skew–t Link Model for Binomial Response Data
Authors: Chocotea-Poca Omar , Nicolis Orietta , Ibacache-Pulgar Germán
Published: November 2024

A critical aspect of modeling binomial response data is selecting an appropriate link function, as an improper choice can significantly affect model precision. This paper introduces the skew–t link model, an extension of the skew–probit model, offering increased flexibility by incorporating both asymmetry and heavy tails, making it suitable for asymmetric and complex data structures. A penalized likelihood-based estimation method is proposed to stabilize parameter estimation, particularly for the asymmetry parameter. Extensive simulation studies demonstrate the model’s superior performance in terms of lower bias, root mean squared error (RMSE), and robustness compared to traditional symmetric models like probit and logit. Furthermore, the model is applied to two real-world datasets: one concerning women’s labor participation and another related to cardiovascular disease outcomes, both showing superior fitting capabilities compared to more traditional models (with probit and the skew–probit links). These findings highlight the model’s applicability to socioeconomic and medical research, characterized by skew and asymmetric data. Moreover, the proposed model could be applied in various domains where data exhibit asymmetry and complex structures.
Finite-Region State Feedback Control for 2-D Switched Systems with Actuator Saturation Under the Weighted Average Dwell Time Technique
Authors: Yu Qiang , Su Wangxian
Published: November 2024

By using a weighted average dwell time approach, the finite-region stability and stabilization problems are investigated for a class of two-dimensional switched systems with actuator saturation in the Fornasini–Marchesini local state-space model. Firstly, we analyze the finite-region stability of the system studied by introducing the weighted average dwell time approach for the first time. Secondly, the classical state feedback control method is introduced to the system. Based on the established conditions, sufficient criteria are derived to ensure the resulting closed-loop system is finite-region-stable. Finally, a numerical example is provided to show the effectiveness of the provided design approach.
Novel One-Step Production of Carbon-Coated Sn Nanoparticles for High-Capacity Anodes in Lithium-Ion Batteries
Authors: White Emma M. H. , Rueschhoff Lisa M. , Martin Steve W. , Anderson Iver E.
Published: November 2024

Lithium-ion batteries offer the highest energy density of any currently available portable energy storage technology. By using different anode materials, these batteries could have an even greater energy density. One material, tin, has a theoretical lithium capacity (994 mAh/g) over three-times higher than commercial carbon anode materials. Unfortunately, to achieve this high capacity, bulk tin undergoes a large volume expansion, and the material pulverizes during cycling, giving a rapid capacity fade. To mitigate this issue, tin must be scaled down to the nano-level to take advantage of unique micromechanics at the nanoscale. Synthesis techniques for Sn nanoparticle anodes are costly and overly complicated for commercial production. A novel one-step process for producing carbon-coated Sn nanoparticles via spark plasma erosion (SPE) shows great promise as a simple, inexpensive production method. The SPE method, characterization of the resulting particles, and their high-capacity reversible electrochemical performance as anodes are described. With only a 10% addition of these novel SPE carbon-coated Sn particles, one anode composition demonstrated a reversible capacity of ~460 mAh/g, achieving the theoretical capacity of that particular electrode formulation. These SPE carbon-coated Sn nanoparticles are drop-in ready for present commercial lithium-ion anode processing and would provide a ~10% increase in the total capacity of current commercial lithium-ion cells.
Association Between Cognitive Function and the Autonomic Nervous System by Photoplethysmography
Authors: Jin Jaewook , Kim Kahye , Lee KunHo , Seo Jeong-Woo , Kim Jaeuk U.
Published: November 2024

This study explored the relationship between cognitive function and the autonomic nervous system by categorizing participants into two groups based on their cognitive function scores in each domain of the SNSB-D: a High Cognitive Performance (HCP) group and a Low Cognitive Performance (LCP) group. We analyzed the Pulse Rate Variability (PRV) parameters for each group. Photoplethysmography (PPG) data were collected and processed to remove noise, and the PRV parameters in the time and frequency domains were extracted. To minimize the impact of age and years of education on the PRV parameters, we performed an adjusted analysis using a Generalized Linear Model (GLM). The analysis revealed that the autonomic nervous system, particularly the parasympathetic nervous system, was more activated in the LCP group compared to the HCP group. This finding suggests that in individuals with low cognitive function, the sympathetic nerves in the autonomic nervous system are less activated, so the parasympathetic nerves are relatively more activated. This study investigated the correlation between cognitive function and PRV parameters, highlighting the potential use of these parameters as indicators for the early diagnosis and classification of cognitive decline.
IDH Mutations in Glioma: Molecular, Cellular, Diagnostic, and Clinical Implications
Authors: Choate Kristian A. , Pratt Evan P. S. , Jennings Matthew J. , Winn Robert J. , Mann Paul B.
Published: November 2024

In 2021, the World Health Organization classified isocitrate dehydrogenase (IDH) mutant gliomas as a distinct subgroup of tumors with genetic changes sufficient to enable a complete diagnosis. Patients with an IDH mutant glioma have improved survival which has been further enhanced by the advent of targeted therapies. IDH enzymes contribute to cellular metabolism, and mutations to specific catalytic residues result in the neomorphic production of D-2-hydroxyglutarate (D-2-HG). The accumulation of D-2-HG results in epigenetic alterations, oncogenesis and impacts the tumor microenvironment via immunological modulations. Here, we summarize the molecular, cellular, and clinical implications of IDH mutations in gliomas as well as current diagnostic techniques.
Changes in Immunoglobulins G and A in the Saliva and Serum of Horses with Equine Gastric Ulcer Syndrome (EGUS) and Their Relationship with Other Immune and Redox Status Biomarkers
Authors: Botía María , Martín-Cuervo María , Martínez-Subiela Silvia , Cerón José Joaquín , Ayala Ignacio , Hansen Sanni , Muñoz-Prieto Alberto
Published: November 2024

Equine Gastric Ulcer Syndrome (EGUS) is a widespread disease with a very high prevalence and importance in horses. It includes two conditions: Equine squamous gastric disease (ESGD), linked to acid disturbances, and Equine Glandular Gastric Disease (EGGD), associated with inflammation and immune system issues. In saliva, increased levels of immunological markers have been observed in this disease, indicating immune system involvement. In addition, changes in biomarkers of oxidative stress have been described. In horses, IgG and IgA are proteins that appear in saliva and serum and are considered to be the major proteins in specific immunity; however, their levels in horses with EGUS have not been previously studied. This report aims to evaluate IgG and IgA concentrations in the saliva and serum of horses with EGUS, measured by automated assays, and compare them with other biomarkers of the immune and oxidative stress system. This work validated the IgG and IgA assays in saliva and showed that IgA significantly increased in the saliva of horses with EGUS. When the correlation between IgG and IgA and other biomarkers of immune system issues and oxidative stress such as ADA, S100 A8-A9 (calprotectin), S100 A12 (calgranulin), uric acid, FRAS, and AOPP was studied, IgA in saliva showed a significant moderate correlation with adenosine deaminase, indicating its possible involvement in the immune reaction occurring in EGUS.
Single-Cell RNA-Seq Analysis Links DNMT3B and PFKFB4 Transcriptional Profiles with Metastatic Traits in Hepatoblastoma
Authors: Desterke Christophe , Francés Raquel , Monge Claudia , Marchio Agnès , Pineau Pascal , Mata-Garrido Jorge
Published: November 2024

Hepatoblastoma is the most common primary liver cancer in children. Poor outcomes are primarily associated with patients who have distant metastases. Using the Mammalian Metabolic Enzyme Database, we investigated the overexpression of metabolic enzymes in hepatoblastoma tumors compared to noncancerous liver tissue in the GSE131329 transcriptome dataset. For the overexpressed enzymes, we applied ElasticNet machine learning to assess their predictive value for metastasis. A metabolic expression score was then computed from the significant enzymes and integrated into a clinical-biological logistic regression model. Forty-one overexpressed enzymes distinguished hepatoblastoma tumors from noncancerous liver tissues. Eighteen of these enzymes predicted metastasis status with an AUC of 0.90, demonstrating 85.7% sensitivity and 92.3% specificity. ElasticNet machine learning identified DNMT3B and PFKFB4 as key predictors of metastasis. Univariate analyses confirmed the significance of these enzymes, with respective p-values of 0.0058 and 0.0091. A metabolic score based on DNMT3B and PFKFB4 expression discriminated metastasis status and high-risk CHIC scores (p-value = 0.005). The metabolic score was more sensitive than the C1/C2 classifier in predicting metastasis (accuracy: 0.72 vs. 0.55). In a regression model integrating the metabolic score with epidemiological parameters (gender, age at diagnosis, histological type, and clinical PRETEXT stage), the metabolic score was confirmed as an independent adverse predictor of metastasis (p-value = 0.003, odds ratio: 2.12). This study identified the dual overexpression of PFKFB4 and DNMT3B in hepatoblastoma patients at risk of metastasis (high-risk CHIC classification). The combined tumor expression of DNMT3B and PFKFB4 was used to compute a metabolic score, which was validated as an independent predictor of metastatic status in hepatoblastoma.
Population-Level Cell Trajectory Inference Based on Gaussian Distributions
Authors: Chen Xiang , Ma Yibing , Shi Yongle , Fu Yuhan , Nan Mengdi , Ren Qing , Gao Jie
Published: November 2024

In the past decade, inferring developmental trajectories from single-cell data has become a significant challenge in bioinformatics. RNA velocity, with its incorporation of directional dynamics, has significantly advanced the study of single-cell trajectories. However, as single-cell RNA sequencing technology evolves, it generates complex, high-dimensional data with high noise levels. Existing trajectory inference methods, which overlook cell distribution characteristics, may perform inadequately under such conditions. To address this, we introduce CPvGTI, a Gaussian distribution-based trajectory inference method. CPvGTI utilizes a Gaussian mixture model, optimized by the Expectation–Maximization algorithm, to construct new cell populations in the original data space. By integrating RNA velocity, CPvGTI employs Gaussian Process Regression to analyze the differentiation trajectories of these cell populations. To evaluate the performance of CPvGTI, we assess CPvGTI’s performance against several state-of-the-art methods using four structurally diverse simulated datasets and four real datasets. The simulation studies indicate that CPvGTI excels in pseudo-time prediction and structural reconstruction compared to existing methods. Furthermore, the discovery of new branch trajectories in human forebrain and mouse hematopoiesis datasets confirms CPvGTI’s superior performance.
Impaired Development of Collagen Antibody-Induced Arthritis in Rab44-Deficient Mice
Authors: Yamaguchi Yu , Kadowaki Tomoko , Sakai Eiko , Noguromi Mayuko , Oyakawa Shun , Tsukuba Takayuki
Published: November 2024

Background: Rheumatoid arthritis (RA) is an autoimmune disease characterized by immune cell-mediated joint inflammation and subsequent osteoclast-dependent bone destruction. Collagen antibody-induced arthritis (CAIA) is a useful mouse model for examining the inflammatory mechanisms in human RA. Previously, we identified the novel gene Rab44, which is a member of the large Rab GTPase family and is highly expressed in immune-related cells and osteoclasts. Methods: In this study, we induced CAIA in Rab44-knockout (KO) mice to investigate the effects of Rab44 on inflammation, cell filtration, and bone destruction. Results: Compared with wild-type (WT) mice, Rab44-KO mice showed reduced inflammation in arthritis under CAIA-inducing conditions. Rab44-KO CAIA mice exhibited reduced cell filtration in the radiocarpal joints. Consistent with these findings, Rab44-KO CAIA mice showed decreased mRNA levels of arthritis-related marker genes including genes for inflammation, cartilage turnover, bone formation, and bone absorption markers. Rab44-KO CAIA mice exhibited predominant infiltration of M2-type macrophages at inflammatory sites and reduced bone loss compared to WT CAIA mice. Conclusions: These results indicate that Rab44 deficiency reduces the progression of inflammation in CAIA in mice.
A Cross-Sectional Study: Systematic Quantification of Chemerin in Human Cerebrospinal Fluid
Authors: Höpfinger Alexandra , Behrendt Manuel , Schmid Andreas , Karrasch Thomas , Schäffler Andreas , Berghoff Martin
Published: November 2024

Background: Dysregulation of adipokines is considered a key mechanism of chronic inflammation in metabolic syndrome. Some adipokines affect food intake by crossing the blood/brain barrier. The adipokine chemerin is associated with metabolic syndrome, cardiovascular diseases and immune response. Little is known about chemerin’s presence in cerebrospinal fluid (CSF) and its ability to cross the blood/CSF barrier. Methods: We quantified chemerin levels in paired serum and CSF samples of 390 patients with different neurological diagnoses via enzyme-linked immunosorbent assay (ELISA). Correlation analyses of serum and CSF chemerin levels with anthropometric, serum and CSF routine parameters were performed. Results: Overweight patients exhibited higher chemerin levels in serum and CSF. Chemerin CSF levels were higher in men. Chemerin levels in serum were associated with BMI (body mass index) and CRP (C-reactive protein). Chemerin levels in CSF were associated with age. Neurological diseases affected chemerin levels in CSF. The chemerin CSF/serum ratio was calculated as 96.3 ± 36.8 × 10−3 for the first time. Conclusions: Our data present a basis for the development of standard values for chemerin quantities in CSF. CSF chemerin levels are differentially regulated in neurological diseases and affected by BMI and sex. Chemerin is able to cross the blood/CSF barrier under physiological and pathophysiological conditions.
Differential Protein-Coding Gene Expression Profile in Patients with Prostate Cancer
Authors: Albarracín-Navas Lorena , Almonte-Becerril Maylin , Guerrero Enmanuel , Rivadeneira Josue , Telechea-Fernández Marcelino , Guzmán Elizabeth , Calderón Fanny , Hernández-Leal María José , Otzen Tamara , Manterola Carlos , Duque Galo , Riffo-Campos Ángela L.
Published: November 2024

Background: Prostate cancer is the second most common neoplasm in men, with projections estimating over one million new cases by 2045. Differentially expressed genes can significantly enhance the diagnosis, treatment, monitoring, and prognosis of this disease. Purpose: to systematically review and analyze validated differentially expressed mRNAs in prostate cancer patients to propose a robust molecular profile for clinical diagnostics. Methods: A systematic review was conducted following PRISMA guidelines, searching literature databases for mRNAs with validated differential expression in adult prostate cancer patients. Identified mRNAs were analyzed using STRING, Cytoscape, and DrugBank to explore protein–protein interactions and potential drug targets. Results: A total of 5003 participants from Europe, Asia, America, and Oceania were included, and 144 mRNAs (p < 0.05) were reported across 75 primary articles, predominantly validated using RT-qPCR with tissue samples. Among these, at least 36 mRNAs were identified as targets for cancer-related drugs. Enrichment analysis revealed the top pathways were associated with cancer, including specific prostate cancer terms. Key nodes emerged as hubs in the protein–protein interaction network. Conclusion: Based on our comprehensive in silico analysis of validated differentially expressed mRNAs, we propose a molecular profile of twenty-five mRNAs with significant potential for clinical diagnosis of prostate cancer. These findings offer a valuable foundation for developing precision oncology strategies to improve patient outcomes.
Multitask Level-Based Learning Swarm Optimizer
Authors: Chen Jiangtao , Wang Zijia , Kou Zheng
Published: November 2024

Evolutionary multitasking optimization (EMTO) is currently one of the hottest research topics that aims to utilize the correlation between tasks to optimize them simultaneously. Although many evolutionary multitask algorithms (EMTAs) based on traditional differential evolution (DE) and the genetic algorithm (GA) have been proposed, there are relatively few EMTAs based on particle swarm optimization (PSO). Compared with DE and GA, PSO has a faster convergence speed, especially during the later state of the evolutionary process. Therefore, this paper proposes a multitask level-based learning swarm optimizer (MTLLSO). In MTLLSO, multiple populations are maintained and each population corresponds to the optimization of one task separately using LLSO, leveraging high-level individuals with better fitness to guide the evolution of low-level individuals with worse fitness. When information transfer occurs, high-level individuals from a source population are used to guide the evolution of low-level individuals in the target population to facilitate the effectiveness of knowledge transfer. In this way, MTLLSO can obtain the satisfying balance between self-evolution and knowledge transfer. We have illustrated the effectiveness of MTLLSO on the CEC2017 benchmark, where MTLLSO significantly outperformed other compared algorithms in most problems.
Study on the Effect of Flexible Passive Deformation of Tuna Caudal Fin on Swimming Performance
Authors: Zhong Shi-Yun , Gao Tian-Yu , Huang Wei-Pei , Sun Peng-Nan , Yu Chao , Zhao Wang , Guo Zhi-Qun
Published: November 2024

The high-speed and efficient swimming characteristics of tuna are valuable for designing bio-inspired underwater vehicles. Tuna use their highly deformable caudal fins as propulsors during swimming. Caudal fin deformation is categorized into skeletal-controlled active deformation and fluid-induced flexible passive deformation. To investigate how flexible passive deformation affects propulsion performance, simulations of four caudal fins with varying flexibilities under two St numbers in a uniform flow are conducted using the finite volume method. This study finds that the medium-flexibility caudal fin achieves a higher time-averaged thrust coefficient without sacrificing efficiency under both high and low St numbers. At a high St number, the medium-flexibility caudal fin enhances thrust by reducing detrimental secondary flows. At a low St number, the medium-flexibility caudal fin increases thrust by strengthening vortex rings, which induces a stronger backward jet.
Enzyme-Assisted Fluorescence Biosensor Based on Circular Single-Stranded DNA Without Group Modification for MicroRNA Detection
Authors: Yin Xiaoxue , Liao Yazhen , Li Feiyu , Li Jianbao , Du Jie
Published: November 2024

Fluorescent biosensor, which has the characteristics of high sensitivity, specificity, and low cost, can be directly detected in physiological fluids such as blood and serum. Therefore, the development of fluorescence sensor platforms for miRNA detection has a positive effect on the prevention and treatment of various diseases. In this paper, miR-34a was selected as a biological indicator of Alzheimer’s disease (AD). We designed a circular single-stranded DNA (CSSD) biosensor, which uses two unmodified single-stranded DNA (ssDNA) with complementary ends, DNAa and DNAb, to form CSSD by DNA sequence pairing to improve thermal stability and achieve signal amplification. At the same time, CSSD can react with miR-34a, and then the DNA of the DNA–RNA chain is hydrolyzed by duplex-specific nuclease (DSN enzyme). Finally, miR-34a is released to partake in the subsequent step, thus realizing cycle amplification. By evaluating the change in fluorescence signal under the optimized conditions, we discovered that this approach exhibits impressive sensitivity, with a detection threshold reaching as low as 0.36 nM. This surpasses the performance of numerous preceding miRNA detection biosensors. Furthermore, the system displays excellent detection capabilities even in intricate settings like serum, showcasing a strong ability to differentiate and choose effectively. In summary, this is a signal-off fluorescent biosensor, which realizes the purpose of double amplification of biosensor signal by using CSSD and enzyme assistance so that it can be used as a valuable tool for early diagnosis of diseases.
Can Changes in Financial Performance Be Used in the Diagnosis of Neurocognitive Disorders? A Systematic Review of Findings from Greece
Authors: Giannouli Vaitsa
Published: November 2024

Background/Objectives: Elder abuse, and more specifically financial exploitation, is expected to be a major problem in modern societies as the worldwide population is getting older. Neuropsychological protocols regarding financial capacity assessment are the only available window allowing us to view the cognitive–emotional–behavioral strengths/deficits and vulnerabilities of individuals. Given the paucity of relevant research in Greece in the most vulnerable individuals such as older adults suffering from neurocognitive disorders (NCDs), this systematic review attempts to investigate whether NCDs impair financial capacity and to highlight the most important factors that can predict financial incapacity in Greek older patients and the likelihood of financial abuse. Methods: A systematic search was conducted in Embase, PsycINFO, and PubMed. Results: The search identified n = 21 relevant research articles. The synthesis of available evidence supports that financial incapacity is clearly demonstrated in the group of Greek older adults suffering from NCDs of different severity and etiology; thus, such changes can assist diagnosis, treatment, and care of these individuals, but the implications for elder abuse in the Greek cultural context have not been examined in detail so far. Conclusions: Given the unique source of information that neuropsychological assessments represent by revealing the importance of factors such as arithmetic cognition and relevant brain volume changes in the left angular gyrus, depressive mood, apathy, frailty, vascular risk factors, and financial illiteracy, forensic neuropsychology can play a vital role in protecting older individuals from financial abuse.
LEGO®-Based Therapy in School Settings for Social Behavior Stimulation in Children with Autism Spectrum Disorder: Comparing Peer-Mediated and Expert Intervention
Authors: Angelis Luciana Oliveira , Orsati Fernanda Tebexreni , Teixeira Maria Cristina Triguero Veloz
Published: November 2024

Background: LEGO®-based therapy is a social development protocol that uses LEGO® activities to support the development of a wide range of interaction skills, enhancing prosocial behaviors and mitigating the challenges associated with mental health difficulties and behavioral issues commonly observed in children with autism spectrum disorder (ASD). Objectives: This study aimed to explore the effects of LEGO®-based therapy on the social behavior and mental health of children with ASD, comparing stimulation mediated by expert and stimulation mediated by non-autistic peers. This study was approved by the Ethical Committee at Mackenzie Presbyterian University, ensuring adherence to ethical standards throughout the research process. Methods: This study involved 18 children with ASD, levels 1 or 2, with an intelligence quotient (IQ) above 70, and three typically developing peers, intelligence quotient (IQ) above 80, aged between 5 and 8 years old, of both sexes. Participants were randomized into three groups for stimulation (stimulation mediated by expert, by a non-autistic peer and control group). The measures were the Wechsler Abbreviated Scale of Intelligence, the Strengths and Difficulties Questionnaire (parent and teacher versions), the Inventory of Difficulties in Executive Functions, Regulation, and Aversion to Delay—Child Version, the Developmental Coordination Disorder Questionnaire, the Autism Behavior Checklist, and the Autistic Behavior Inventory. Results: After 14 sessions of 45 min in school settings, the participants of both groups (mediated by experts and non-autistic children) showed significant gains on social behavior. A statistically significant difference was observed between baseline sessions and probes (χ2 (5) = 25.905, p < 0.001). These gains were maintained in both follow-up points, 30 and 90 days after the completion of the stimulation sessions. Additionally, maladaptive behavior showed a significant decline when compared pre- and post-intervention. These improvements were sustained during follow-up assessments at 30 and 90 days. Conclusions: The results suggest that a structured intervention combined with peer-mediated stimulation may be an effective method for promoting adaptive and prosocial behaviors in children with ASD.
Breakdown or Personality Disorder? Psychiatric Characterization and Developmental Pathways Towards Young Adulthood in Adolescents with Pathological Personality Structure
Authors: Rogantini Chiara , Orlandi Marika , Vecchio Arianna , Pratile Diletta Cristina , Cabini Raffaella Fiamma , Ballante Elena , De Giorgis Valentina , Borgatti Renato , Mensi Martina Maria
Published: November 2024

Background/Objectives: Research is lacking about the development of personality disorders (PDs) from adolescence to early adulthood. This study aimed to characterize the profile of high-risk adolescents compared to adolescents with full-blown PDs and adolescents with other psychiatric disorders and to identify clinical markers that constitute a risk profile. Methods: We evaluated 99 adolescents (12–17 years old) through DSM-5-based semi-structured interviews, questionnaires, cognitive tasks, and scales regarding functioning and disorder severity. We divided patients into three groups: 22 adolescents with full-blown personality disorder (FBPD), 57 adolescents at high risk for personality disorders (HPD), and 20 adolescents with other DSM-5 psychiatric disorders (OTH). At follow-up, 56 patients completed the assessment. Possible developmental trajectories of FBPD and HPD patients were remission (total or partial) of PD-related symptoms, stability of symptoms, or transition from HPD to FBPD. Results: FBPD adolescents had more impaired family backgrounds. At baseline, the HPD group was mainly composed of female patients, younger than the FBPD ones. Externalizing symptoms may represent prodromal symptoms of FBPD. High-risk patients who made the transition were younger than those who did not, and their mothers reported higher internalizing symptoms at baseline. None of the FBPD patients remitted. Conclusions: These findings support the hypothesis of a PD “at-risk mental state” and the importance of the implementation of PD early detection and treatment in adolescents, regardless of patient age.
A Systematic Review on Social Cognition in ADHD: The Role of Language, Theory of Mind, and Executive Functions
Authors: Capuozzo Alessandra , Rizzato Salvatore , Grossi Giuseppe , Strappini Francesca
Published: November 2024

Background: In this systematic review, conducted according to the PRISMA 2020 guidelines, we aimed to assess differences in the cognitive processes associated with social cognition—namely language, theory of mind (ToM), and executive functions (EFs)—between ADHD and control groups. Methods: The review included studies indexed in PubMed, Google Scholar, and PsycINFO up until May 2024. Eligible original peer-reviewed articles met the following criteria: they were written in English, included a clinical group with a current primary ADHD diagnosis, were empirical, included quantitative data, and utilized standardized and validated measures with adequate psychometric properties to assess social cognitive processes. Results and Discussion: A total of 1215 individuals with ADHD participated in the selected studies. Out of the 22 articles reviewed, 17 reported significant differences between ADHD and the controls across several cognitive processes related to language and EF rather than ToM. These processes included pragmatic skills, verbal and nonverbal communication, emotional prosody, interaction skills, sarcasm, paradoxical sarcasm recognition, ambiguous situations, emotion recognition, false belief, social problem solving, social behaviors, and gesture codification. We also discuss the limitations of the research and the implications of our findings. Systematic review registration: PROSPERO ID: CRD42023474681.
Psychological Features of Fibromyalgia in the Psychological Health Services
Authors: Rios Andreghetti Gabriela , Montemurro Sonia , Rizzi Luca , Casetta Laura , Passarelli Marcello , Mondini Sara , Rocco Diego
Published: November 2024

Patients with health pathologies may exhibit psychological features in addition to medical symptomatology. A sample of 76 Italian women with an age range between 23 and 78 years old (mean = 50.22 ± 10.47 years) diagnosed with fibromyalgia (a disorder characterized by widespread musculoskeletal pain accompanied by fatigue, sleep, cognitive and mood issues) was examined to identify typical characteristics of their psychological profile. All patients were administered a series of questionnaires, to assess avoidance of physical touch by others; anxiety; depression; risk of developing psychotic disorders; self-criticism and perfectionism; acceptance of chronic pain; general impact of the pathology on their lives, and the predisposition to experience positive emotional states. The scores resulting from this assessment were evaluated against the normative data. Patients with fibromyalgia showed psychological dysfunction in most of the scales administered, with a significantly higher disposition to experience compassion towards others (t = 5.94, df = 75, p < 0.001). A higher risk of psychosis was related with higher levels of depression (B = 0.49, t = 0.20, p = 0.015), poor involvement in daily activities (B = 0.41, t = 0.13, p = 0.002), touch avoidance (especially towards strangers, B = −0.20, t = 0.14, p = 0.01), and overall poor quality of life (B = 0.40, t = 0.16, p = 0.01). This study may broaden the possibility to evaluate psychological features in this clinical population; it may contribute to tailoring psychological care and related treatments in the context of health services.
The Impact of Empathy on Prosocial Behavior Among College Students: The Mediating Role of Moral Identity and the Moderating Role of Sense of Security
Authors: Peng Li , Jiang Yu , Ye Jing , Xiong Zhiheng
Published: November 2024

To investigate the impact of empathy on prosocial behavior and the underlying psychological mechanisms among college students, this study surveyed 840 participants using the Empathy Scale, the Prosocial behavior Scale, the Moral Identity Scale, and the Sense of Security Scale. The results revealed that (1) empathy significantly and positively predicted prosocial behavior among college students; (2) moral identity partially mediated the relationship between empathy and prosocial behavior; (3) a sense of security moderated the relationship between moral identity and prosocial behavior. These findings offer important theoretical and practical implications, enriching the theoretical framework and providing educators and students with valuable guidance.
Fake-News Attitude Evaluation in Terms of Visual Attention and Personality Traits: A Preliminary Study for Mitigating the Cognitive Warfare
Authors: Menicocci Stefano , Lupo Viviana , Ferrara Silvia , Giorgi Andrea , Serra Eleonora , Babiloni Fabio , Borghini Gianluca
Published: November 2024

Although the Internet grants access to a large amount of information, it is crucial to verify its reliability before relying on it. False information is a dangerous medium that poses a considerable threat, as it impacts individuals’ perceptions and information processing, eventually shaping people’s behaviors. Misinformation can be weaponized, especially in cross-border conflicts, where it can be used as a means to erode social cohesion by manipulating public opinion and exacerbate tensions between nations. Cognitive Warfare targets human cognition shaping to be a realm of warfare. It entails the synergy of activities designed to alter perceptions of reality, along with other Instruments of Power, to affect attitudes and behaviors by influencing, protecting, or disrupting cognition on an individual, group, or population level to gain an advantage over an opponent. The objective of our study was to identify behavioral patterns and profile personality traits most likely to accept fake news as true, aiming to mitigate the phenomenon and impact of misinformation and disinformation, as well as addressing the concerning effects of Cognitive Warfare. Based on the Big Five Theory model, we investigated the variation in visual attention and level of Conscientiousness, Open-Mindedness, and Emotional Stability in regard to the capability to detect fake news. In this study, we measured Implicit reaction time (IRT) and visual behavior (Eye Tracker) while participants were shown both fake and real news. The results indicated that subjects who were able to differentiate between fake news and real news tended to exhibit lower levels of Open-Mindedness and focused heavily on the visual elements of the posts.
Assessment and Improvement of Daylighting Quality in Classrooms with Double-Side Windows
Authors: AL-Mowallad Ezzaddeen Ali Mohammed Saeed , Huang Xianfeng , Lu Zhen , Li Xiaofan , Wu Kaiwen , Zhu Zhirui , Liu Guohuan
Published: November 2024

Daylighting in educational buildings is a key factor in ensuring visual comfort and maintaining indoor environmental quality. In this context, daylight quality plays a crucial role in enhancing the lighting conditions within classrooms. Due to the local climate, classrooms with double-side windows are widely prevalent in southern China; however, these wide windows can sometimes lead to uncomfortable glare and uneven daylight distribution. In response, and to address and improve daylight quality, this study selected some classrooms at Guangxi University as a typical case study. The investigation of indoor daylighting performance and visual comfort was conducted through field surveys (questionnaires), on-site measurements, and software simulations. A comprehensive analysis was conducted using lighting environment metrics, including Daylight Factor (DF), Illuminance Uniformity, Effective Illuminance, Daylight Glare Probability (DGP), and Useful Daylight Illuminance (UDI). The findings revealed that large window glass areas on both sides could lead to high DF values, pronounced glare, and low UDI within classrooms. Subsequently, by analyzing influencing factors such as the window-to-floor ratio, window type, the optical properties of classroom interior surfaces, and window shading devices, strategies for improving daylight quality in these classrooms were proposed. The results of this study provide guidance for future daylighting design in university classrooms in hot and humid regions. Moreover, it offers valuable benefits to a wide range of stakeholders, including researchers, practitioners, and policymakers, while providing crucial insights for improving national building standards in this region.
Optimizing Hydrogen Production with a Zinc Ferrocyanide–Carbon Nanotube Catalyst
Authors: Alsehli Amal H. , Alsowayigh Marwah M. , Alqahtani Fahad , Abdulaziz Fahad , Tounsi Moncef , Alshaaer Mazen , Alenezy Ebtsam K. , Alanazi Abdulaziz
Published: November 2024

In this study, a catalyst composed of zinc, ferrocyanide, and carbon nanotubes (CNTs) was synthesized and used to enhance the methanolysis of sodium borohydride (NaBH4). The structural characteristics of Zn3[Fe(CN)6]2-CNT catalysts were investigated utilizing X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM) analyses and transmission electron microscopy (TEM). The catalytic activity was studied by measuring the volume of hydrogen produced versus time. The results demonstrated a hydrogen generation rate of 51,480 mL min−1 g−1 for methanolysis of 250 mg NaBH4 at 298 K using 10 mg of the catalyst. Varying the catalyst weight for the methanolysis reaction of NaBH4 showed a high generation rate when a weight of 10 mg was used. The impact of the catalyst on the methanolysis reaction resulted in a lower activation energy (Ea) compared to other works, which is 24.14 kJ mol−1. Moreover, other activation parameters, namely enthalpy (ΔH) and entropy (ΔS), were calculated to be 21.641 kJ mol−1 and −98.986 J mol−1, respectively. The catalyst reusability study showed the stability of the hydrogen generation rate over four cycles.
Sonic Hedgehog Is an Early Oligodendrocyte Marker During Remyelination
Authors: Russo Mariagiovanna , Zahaf Amina , Kassoussi Abdelmoumen , Sharif Ariane , Faure Hélène , Traiffort Elisabeth , Ruat Martial
Published: November 2024

Failure of myelin regeneration by oligodendrocytes contributes to progressive decline in many neurological diseases. Here, using in vitro and in vivo rodent models, functional blockade, and mouse brain demyelination, we demonstrate that Sonic hedgehog (Shh) expression in a subset of oligodendrocyte progenitor cells precedes the expression of myelin basic protein (MBP), a major myelin sheath protein. Primary cultures of rodent cortical oligodendrocytes show that Shh mRNA and protein are upregulated during oligodendrocyte maturation before the upregulation of MBP expression. Importantly, almost all MBP-positive cells are Shh positive during differentiation. During remyelination, we identify a rapid induction of Shh mRNA and peptide in oligodendroglial cells present in the demyelinated corpus callosum of mice, including a population of PDGFRα-expressing cells. Shh invalidation by an adeno-associated virus strategy demonstrates that the downregulation of Shh impairs the differentiation of oligodendrocytes in vitro and decreases MBP and myelin proteolipid protein expression in the demyelinated mouse brain at late stages of remyelination. We also report a parallel expression of Shh and MBP in oligodendroglial cells during early post-natal myelination of the mouse brain. Thus, we identify a crucial Shh signal involved in oligodendroglial cell differentiation and remyelination, with potential interest in the design of better-targeted remyelinating therapeutic strategies.
Optimising Worldviews for a Flourishing Planet: Exploring the Principle of Right Relationship
Authors: Ellyatt Wendy
Published: November 2024

Worldviews, the foundational assumptions guiding human behaviour and societal systems, are pivotal in shaping planetary health and human flourishing. This paper discusses two divergent worldviews that have prevailed in human populations over time and which are still evident today: the Holistic/Non-linear Worldview, which emphasises interconnectedness and harmony with nature, and the Dualistic/Linear Worldview, which prioritises human-centric activities and the more recent exploitation of nature. The characteristics of human worldviews are explored, including how these are formed in early life via the vital role of human communication and storytelling and the expressive role of the arts. To support the future of human flourishing, this paper makes the case for an integrative worldview that would enable us to embrace paradox and complexity, to seek synthesis, and to promote an integrated approach that reconciles the tensions between seemingly opposing ways of understanding our world. The principle of “Right Relationship”—fostering reciprocal, respectful, and sustainable interactions between humans and the natural world—is examined as a possible framework that could be employed to help humanity navigate today’s global crises and create the conditions for a sustainable, flourishing future.
The Swedish National Formulary for Children ePed. Comment on Shaniv et al. A Callout for International Collaboration. Reply to Giger, E.V.; Tilen, R. Comment on “Shaniv et al. Neonatal Drug Formularies—A Global Scope. Children 2023, 10, 848”. Children 2023, 10, 1803
Authors: Garnemark Christiane A. , Nydert Per , Lindemalm Synnöve
Published: November 2024

We have read with interest both the article by Shaniv D [...]
Refractory Chylothorax and Ventricular Hypertrophy Treated with Trametinib in a Patient with Noonan Syndrome: 18-Month Follow-Up
Authors: Pascarella Antonia , Limongelli Giuseppe , De Falco Alessandro , Minale Elia Marco Paolo , Di Nardo Giangiacomo , Di Marco Giovanni Maria , Zito Marinosci Geremia , Olimpico Giorgia , Siani Paolo , De Brasi Daniele
Published: November 2024

RASopathies are a group of genetic syndromes caused by germline mutations in genes involved in the RAS/Mitogen-Activated Protein Kinase signaling pathway, which regulates cellular proliferation, differentiation, and angiogenesis. Despite their involvement at different levels of this pathway, RASopathies share overlapping clinical phenotypes. Noonan syndrome is the most prevalent RASopathy, with an estimated incidence of 1 in 2500 live births, and it is typically inherited in an autosomal dominant manner, with 50% of cases involving gain-of-function mutations in the PTPN11 gene. De novo mutations are common, accounting for 60% of cases. The phenotype of Noonan syndrome includes characteristic facial and physical features, congenital cardiac defects, lymphatic and cerebrovascular anomalies, renal malformations, hematological abnormalities, developmental issues, and an increased risk of cancer. Severe congenital cardiac defects and lymphatic abnormalities significantly impact prognosis, contributing to increased morbidity and mortality. Recent therapeutic advancements have introduced trametinib, an MEK1/2 inhibitor, for treating Noonan syndrome patients with severe cardiac and lymphatic complications. To assess its efficacy, here, we present a case of a newborn with Noonan syndrome who exhibited refractory chylothorax, ventricular hypertrophy, and pulmonary stenosis who was treated with trametinib. The patient demonstrated significant improvement in chylothorax and left ventricular hypertrophy, though pulmonary stenosis persisted. This case further confirms trametinib’s potential as a therapeutic option for severe Noonan syndrome complications, emphasizing the need for further clinical trials to optimize treatment protocols and evaluate long-term outcomes.