bluuebunny/crossref_metadata_2025 huggingface dataset:
The Addition of Pumpkin Flour Impacts the Functional and Bioactive Properties of Soft Wheat Composite Flour Blends
Authors: Alija Durim , Olędzki Remigiusz , Nikolovska Nedelkoska Daniela , Wojciechowicz-Budzisz Agata , Xhabiri Gafur , Pejcz Ewa , Alija Eljesa , Harasym Joanna
Published: January 2025

Growing interest in functional food ingredients has led to the exploration of pumpkin flour as a nutritional enhancer in wheat-based products. This study investigated the impact of pumpkin flour incorporation (0–20%) on soft wheat flour blends’ technological and bioactive properties. The comprehensive analysis included granulometric distribution, techno-functional properties (WHC, WAC, WAI, WSI, SP, OAC), pasting characteristics (RVA), gel texture (TPA), rheological behaviour (frequency sweeps), colour parameters, and bioactive compounds (TPC, DPPH, ABTS) in both water and ethanol extracts. Pumpkin flour addition systematically modified blend properties, with higher fine particle content (13.26% < 80 μm), enhancing water interaction capabilities (WHC increased from 2.52 to 3.56). Pasting behaviour showed reduced peak viscosity (2444.0 mPa·s to 1859.5 mPa·s) but enhanced gel structure stability, evidenced by increased storage modulus (112.7 Pa to 1151.0 Pa) and reduced frequency dependence. Colour parameters showed progressive darkening (L* 91.00 to 84.28) and increased yellow-orange intensity (b* 10.13 to 27.13). Bioactive properties improved significantly, with TPC increasing up to 0.57 mg/1 g DM and 0.34 GAE mg/1 g DM in water and ethanol extracts, respectively, accompanied by enhanced antioxidant activity. Pumpkin flour incorporation successfully enhanced both functional and bioactive properties of wheat flour blends, with particle size distribution and water interactions serving as fundamental determinants of technological functionality, while contributing to improved nutritional value through increased bioactive compounds.
Microalga Nannochloropsis gaditana as a Sustainable Source of Bioactive Peptides: A Proteomic and In Silico Approach
Authors: Paterson Samuel , Alonso-Pintre Laura , Morato-López Esperanza , González de la Fuente Sandra , Gómez-Cortés Pilar , Hernández-Ledesma Blanca
Published: January 2025

The impact of the world’s growing population on food systems and the role of dietary patterns in the management of non-communicable diseases underscore the need to explore sustainable and dietary protein sources. Although microalgae have stood out as alternative sources of proteins and bioactive peptides, some species such as Nannochloropsis gaditana remain unexplored. This study aimed to characterize N. gaditana’s proteome and evaluate its potential as a source of bioactive peptides by using an in silico approach. A total of 1955 proteins were identified and classified into functional groups of cellular components, molecular functions, and biological processes. In silico gastrointestinal digestion of identified proteins demonstrated that 202 hydrophobic and low-molecular-size peptides with potential bioactivity were released. Among them, 27 exhibited theorical antioxidant, antihypertensive, antidiabetic, anti-inflammatory, and/or antimicrobial activities. Seven of twenty-seven peptides showed ≥20% intestinal absorption, suggesting potential systemic effects, while the rest could act at local level. Molecular docking demonstrated strong affinities with key enzymes such as MPO, ACE, and DPPIV. Resistance to the digestion, capacity to be absorbed, and multifunctionality were demonstrated for peptide FIPGL. This study highlights N. gaditana’s potential as a sustainable source of novel potential bioactive peptides with promising local and systemic biological effects.
The Role of the Discharge Planning Team on the Length of Hospital Stay and Readmission in Patients with Neurological Conditions: A Single-Center Retrospective Study
Authors: Fatani Anmar , Alzebaidi Sarah , Alghaythee Himyan Kamel , Alharbi Suzan , Bogari Mohammed Hisham , Salamatullah Hassan K. , Alghamdi Saeed , Makkawi Seraj
Published: January 2025

Background: Emerging evidence highlights the critical role of discharge planning teams in enhancing patient care. However, there is lack of data regarding how the implementation of a discharge planning system influences the length of stay (LOS) in hospital and readmission rates among patients with neurological diseases. We conducted a retrospective analysis to examine the effects of discharge planning application on the LOS and readmission rates for patients admitted under the neurology service in Saudi Arabia. Methods: This is a retrospective study conducted at King Abdulaziz Medical City—Western region of Saudi Arabia. We included all patients admitted and discharged under the neurology service between January 2018 and December 2019. The included patients who were divided into the 2018 group (not exposed to discharge planner) and the 2019 group (exposed to discharge planner). The primary endpoints were the LOS and readmission rates. Results: The study included 856 patients (436 allocated to the 2019 group and 420 allocated to the 2018 group). There was no difference between the two groups in the LOS after adjusting confounding factors (β = −0.58, 95% CI [−2.79, 1.61], p = 0.60). However, the 2019 group were more likely to be discharged within three days compared to the 2018 group (41% vs. 26%, p < 0.005). Our analysis showed that patients in the 2019 group were less likely to be readmitted compared to the 2018 group (adjusted odds ratio = 0.70, 95% CI [0.49–0.99], p = 0.0442). Conclusions: Implementation of a discharge planning team was associated with higher early discharge rates and lower hospital readmissions, suggesting potential benefits for healthcare resource utilization in neurological services.
Intergenerational Transaction of Emotional Health in Collective Family Context: Family Functioning, Parental and Children’s Gratitude, and Their Depression
Authors: Yeung Jerf W. K.
Published: January 2025

Background: The current study is intended to examine how positive family functioning, collectively constructed by parents and children in the family context, may contribute to their gratitude and depression, two pivotal human emotions closely related to human health, in which the gratitude and depression of parents and children are assumed to affect each other bidirectionally and parental and children’s gratitude is expected to link the relations between positive family functioning and their depression. Methods: The data for analysis came from a community sample of 310 Chinese parent–child dyads, which were measured by the Family Functioning Style Scale (FFSS), Gratitude Questionnaire (GQ), and depression subscale of the Brief Symptom Inventory (BSI) from both the parent and child participants. Results: The results indicated that positive family functioning contributed to higher parental and children’s gratitude and their less depression, and parental and children’s gratitude and depression affected each other positively. Furthermore, serial mediation analyses discovered the complex processes from positive family functioning to the actor’s depression in parents or children through their gratitude or the links from the partner effect to the actor effect of parental and children’s gratitude or from the partner effect of parental or children’s gratitude to their partner effect of depression. Conclusions: Findings of the current study prove the collective effects of family functioning on the emotional development of gratitude and depression among parents and children, in which parental and children’s gratitude and depression bidirectionally impact each other and lead to the actor’s depression in them through the complex serial mediated effects. For this, pro-family and health-related policies and services should be provided to promote family functioning and emotional management in a home context to enhance family and emotional health among parents and children.
Development and Validation of Child Observation Checklist for Early Screening of Young Children with Special Needs
Authors: Hui Anna Na Na , Siu Angela Fung Ying , Leung Cynthia , Karnilowicz Wally
Published: January 2025

Background: Families with young children with developmental disabilities often express concerns about delays in the identification of these and extended waiting times for obtaining assessments, learning support, and rehabilitation services. The identification process must and can be enhanced if preschool teachers have instrumental measures to detect early-stage developmental disabilities and adjustment difficulties in preschool children and, if necessary, to provide these children with prompt and effective support services. Aims: The aim with this study was to develop and validate a screening checklist for teachers to detect developmental delays and adjustment difficulties in Chinese preschool children in Hong Kong. Methods: The participants included 1085 children aged two to six years (including 365 children who were receiving rehabilitation services at the time of the study) and their preschool teachers. The teachers were requested to complete the screening checklist and the Strengths and Difficulties Questionnaire. Results: The results of the Rasch and Confirmatory Factor Analyses supported the unidimensionality of the checklist, with the validated version consisting of fifteen items and five factors. The checklist score was negatively correlated with children’s behavioral problems and effectively differentiated children of different ages and between children receiving and not receiving rehabilitation services. The reliability estimates (internal consistency and test–retest) of this revised checklist were above 0.70. Conclusions: The 15-item checklist is a promising screening instrument for the identification of developmental disabilities and adjustment problems among Chinese preschool children. The use of the checklist has accelerated access to rehabilitation services for children and family caregivers.
Clinical Assessment of Puressentiel® Muscles and Joints Gel Aromatherapy in the Management of Osteoarthritis-Related Knee Pain
Authors: Barizien Nicolas , Capron Perrine , Mamou Thomas , Louni Françoise , Krzentowski Roland , Fogel Paul
Published: January 2025

Introduction: Knee osteoarthritis (OA) is a degenerative joint disease that affects millions globally, causing chronic pain and limited mobility. Pharmacological treatments for OA-related knee pain come with risks, making alternative or complementary therapies attractive. This post-market trial evaluates the efficacy of Puressentiel® Muscles and Joints gel, an aromatherapy gel with 14 essential oils, in managing OA-related knee pain. Method: In this 12-week open-label trial (NCT04736563), participants aged 45–90 with OA-related knee pain applied Puressentiel® Muscles and Joints gel twice daily for 4 weeks, following a 4-week run-in period without treatment. Pain, joint stiffness, and function were assessed using the Western Ontario McMaster Universities Arthritis Index (WOMAC) and Visual Analog Scale (VAS) at baseline, 4 weeks, 8 weeks, and 12 weeks, and oral analgesic intake was recorded daily. Results: Significant improvements in WOMAC and VAS scores were observed during treatment (p = 0.0262; p < 0.0001, respectively) and sustained 4 weeks post-treatment (p = 0.0190; p < 0.0001, respectively). Paracetamol intake significantly decreased from baseline to the end of treatment (p = 0.0230), though anti-inflammatory intake did not change significantly. No adverse events were reported. Conclusion: Puressentiel® Muscles and Joints gel was well-tolerated, improved WOMAC and VAS scores, and reduced paracetamol use, presenting a viable natural option for pain management in knee OA.
Control of Unexpected Mucor lusitanicus in Litchi Fruit by Hydrocooling with Hypochlorous Acid and Cold Storage
Authors: Liu I-Fang , Lin Huey-Ling , Chen Chang-Lin
Published: January 2025

Litchi fruit (Litchi chinensis Sonn.) is highly perishable because its shelf life is significantly limited by pericarp browning and microbial spoilage. While sulfur dioxide (SO2) fumigation has been traditionally used to preserve color and reduce spoilage, concerns over potential health risks have prompted the exploration of safer alternatives. This study investigated the application of hypochlorous acid (HClO) as an alternative treatment during postharvest processes to mitigate pathological decay, targeting Mucor lusitanicus, a fungus primarily responsible for litchi fruit rot in Taiwan. In vitro experiments demonstrated that M. lusitanicus growth was completely inhibited by HClO concentrations at 40 mg L−1 or higher, as well as by temperatures below 1 °C. In vivo experiments further revealed that disease symptoms in inoculated litchi fruit were fully suppressed at 25 °C for seven days after hydrocooling with HClO. When 40 mg L−1 HClO treatment was combined with hydrocooling and subsequent storage at 5 °C, the decay ratio of litchi fruit was reduced to below 3% after 21-day storage. The browning index and disease incidence of litchi fruit hydrocooled with an 8 h hydrocooling delay were significantly lower than those with a 12 h hydrocooling delay after 21 days at 5 °C, followed by 1 day at 26 °C. Therefore, hydrocooling within 8 h of harvest is recommended for commercial scales. This treatment effectively prevented pericarp browning and maintained total soluble solid levels, ensuring the quality. These findings suggest that integrating HClO with hydrocooling not only decreases spoilage and delays pericarp browning but also offers a viable alternative to traditional SO2 fumigation, optimizing the postharvest process and enhancing food safety. This approach can extend the storage ability of litchi fruit while maintaining its quality, providing a safer method for local and international markets.
Regional Variations in the Prevalence of Risk Factors and Non-Communicable Diseases in Papua New Guinea: A Scoping Review
Authors: Porykali Bobby , Gronau Ryley , Tran Phyllis , Chen Juliana , Allman-Farinelli Margaret , Rangan Anna , Porykali Shelina , Oge Robin , Nogua Hans , Davies Alyse
Published: January 2025

Often referred to as ‘the last unknown’, Papua New Guinea’s largely unexplored environments across its four distinct regions, the Highlands, New Guinea Islands, Momase, and Southern, exhibit remarkable diversity. Understanding this diversity is significant in contextualising the risk factors associated with developing non-communicable diseases. This review aims to map and summarise the literature to provide region-specific prevalence data for risk factors and non-communicable diseases. Four databases and grey literature were searched. Two reviewers completed the screening and data extraction. Twenty-one studies were included, with five reporting the data by region and the remaining reporting the data nationwide. Six studies reported on risk factors, thirteen reported on non-communicable diseases, and two reported on risk factors and non-communicable diseases. The Southern region, which includes the Capital, Port Moresby, reported the highest prevalence for most risk factors: anthropometric (overweight, obesity, and waist circumference), lifestyle (betel nut, alcohol, unhealthy diet, and stress), and biochemical (cholesterol, triglycerides, HbA1c, and metabolic syndrome). The findings of this review highlight the limited evidence base for region-specific risk factor data and the lack of objective diagnosis of non-communicable diseases. There were variations in the prevalence of specific risk factors by region; however, the Southern region stands out as requiring immediate attention for health promotion program interventions.
Bypass of Methoxyamine-Adducted Abasic Sites by Eukaryotic Translesion DNA Polymerases
Authors: Yudkina Anna V. , Novikova Anna A. , Stolyarenko Anastasia D. , Makarova Alena V. , Zharkov Dmitry O.
Published: January 2025

The apurinic/apyrimidinic site (AP site) is a highly mutagenic and cytotoxic DNA lesion. Normally, AP sites are removed from DNA by base excision repair (BER). Methoxyamine (MOX), a BER inhibitor currently under clinical trials as a tumor sensitizer, forms adducts with AP sites (AP-MOX) resistant to the key BER enzyme, AP endonuclease. As AP-MOX remains unrepaired, translesion DNA synthesis is expected to be the main mechanism of cellular response to this lesion. However, the mutagenic potential of AP-MOX is still unclear. Here, we compare the blocking and mutagenic properties of AP-MOX and the natural AP site for major eukaryotic DNA polymerases involved in translesion synthesis: DNA polymerases η, ι, ζ, Rev1, and primase–polymerase PrimPol. The miscoding properties of both abasic lesions remained mostly the same for each studied enzyme. In contrast, the blocking properties of AP-MOX compared to the AP site were DNA polymerase specific. Pol η and PrimPol bypassed both lesions with the same efficiency. The bypass of AP-MOX by Pol ι was 15-fold lower than that of the AP site. On the contrary, Rev1 bypassed AP-MOX 5-fold better than the AP site. Together, our data suggest that Rev1 is best suited to support synthesis across AP-MOX in human cells.
Single-Cell RNA-Seq Uncovers Robust Glial Cell Transcriptional Changes in Methamphetamine-Administered Mice
Authors: Oladapo Abiola , Deshetty Uma Maheswari , Callen Shannon , Buch Shilpa , Periyasamy Palsamy
Published: January 2025

Methamphetamine is a highly addictive stimulant known to cause neurotoxicity, cognitive deficits, and immune dysregulation in the brain. Despite significant research, the molecular mechanisms driving methamphetamine-induced neurotoxicity and glial cell dysfunction remain poorly understood. This study investigates how methamphetamine disrupts glial cell function and contributes to neurodevelopmental and neurodegenerative processes. Using single-cell RNA sequencing (scRNA-seq), we analyzed the transcriptomes of 4000 glial cell-associated genes from the cortical regions of mice chronically administered methamphetamine. Methamphetamine exposure altered the key pathways in astrocytes, including the circadian rhythm and cAMP signaling; in microglia, affecting autophagy, ubiquitin-mediated proteolysis, and mitophagy; and in oligodendrocytes, disrupting lysosomal function, cytoskeletal regulation, and protein processing. Notably, several transcription factors, such as Zbtb16, Hif3a, Foxo1, and Klf9, were significantly dysregulated in the glial cells. These findings reveal profound methamphetamine-induced changes in the glial transcriptomes, particularly in the cortical regions, highlighting potential molecular pathways and transcription factors as targets for therapeutic intervention. This study provides novel insights into the glial-mediated mechanisms of methamphetamine toxicity, contributing to our understanding of its effects on the central nervous system and laying the groundwork for future strategies to mitigate its neurotoxic consequences.
The Role of TRPV1/CGRP Pathway Activated by Prevotella melaninogenica in Pathogenesis of Oral Lichen Planus
Authors: Xu Pan , Shao Ruru , Zhu Pingyi , Fei Jian , He Yuan
Published: January 2025

The distinctive clinicopathologic characteristics of OLP indicated that both microbial dysbiosis and neurogenic inflammation may be jointly involved in its progression, and transient receptor potential vanilloid receptor-1 (TRPV1) may be a crucial element. The purpose of this study was to explore how TRPV1 mediated P. melaninogenica-induced inflammation. Meanwhile, we aimed to unravel how IL-36γ dysregulated the barrier function in oral keratinocytes. Here, the expression of TRPV1, calcitonin gene-related peptide (CGRP), and its receptor receptor activity-modifying protein 1 (RAMP1) in OLP patients were detected. Prevotella melaninogenica (P. melaninogenica) was used to build a mouse model of oral chronic inflammation. Normal human oral keratinocytes (NHOKs) stimulated by P. melaninogenica were used to examine TRPV1 activation and CGRP release. To investigate the effect of exogenous CGRP on Interleukin-36 gamma (IL-36γ) expression in NHOKs and bacterial viability, P. melaninogenica and NHOKs were treated with it, respectively. Recombinant IL-36γ protein was used to probe its regulation of oral epithelial barrier function. TRPV1, CGRP, and RAMP1 were substantially expressed in OLP. P. melaninogenica increased TRPV1 expression in mice and caused the release of CGRP and an increase in pro-inflammatory cytokines via activating TRPV1 in NHOKs. Blockade of TRPV1 suppressed P. melaninogenica-induced inflammation. CGRP boosted the production of IL-36γ released by NHOKs, resulting in lower expression of zonula occludens-1 (ZO-1). Also, CGRP can decrease the viability of P. melaninogenica. Together, these findings provide fresh insight into the vital role performed by P. melaninogenica-induced functional changes in oral epithelial cells and neurons in an intricate OLP inflammatory process.
The Impact of Metabolic Rewiring in Glioblastoma: The Immune Landscape and Therapeutic Strategies
Authors: Vijayanathan Yuganthini , Ho Ivy A. W.
Published: January 2025

Glioblastoma (GBM) is an aggressive brain tumor characterized by extensive metabolic reprogramming that drives tumor growth and therapeutic resistance. Key metabolic pathways, including glycolysis, lactate production, and lipid metabolism, are upregulated to sustain tumor survival in the hypoxic and nutrient-deprived tumor microenvironment (TME), while glutamine and tryptophan metabolism further contribute to the aggressive phenotype of GBM. These metabolic alterations impair immune cell function, leading to exhaustion and stress in CD8+ and CD4+ T cells while favoring immunosuppressive populations such as regulatory T cells (Tregs) and M2-like macrophages. Recent studies emphasize the role of slow-cycling GBM cells (SCCs), lipid-laden macrophages, and tumor-associated astrocytes (TAAs) in reshaping GBM’s metabolic landscape and reinforcing immune evasion. Genetic mutations, including Isocitrate Dehydrogenase (IDH) mutations, Epidermal Growth Factor Receptor (EGFR) amplification, and Phosphotase and Tensin Homolog (PTEN) loss, further drive metabolic reprogramming and offer potential targets for therapy. Understanding the relationship between GBM metabolism and immune suppression is critical for overcoming therapeutic resistance. This review focuses on the role of metabolic rewiring in GBM, its impact on the immune microenvironment, and the potential of combining metabolic targeting with immunotherapy to improve clinical outcomes for GBM patients.
An AI-Based Digital Scanner for Varroa destructor Detection in Beekeeping
Authors: Scutaru Daniela , Bergonzoli Simone , Costa Corrado , Violino Simona , Costa Cecilia , Albertazzi Sergio , Capano Vittorio , Kostić Marko M. , Scarfone Antonio
Published: January 2025

Beekeeping is a crucial agricultural practice that significantly enhances environmental health and food production through effective pollination by honey bees. However, honey bees face numerous threats, including exotic parasites, large-scale transportation, and common agricultural practices that may increase the risk of parasite and pathogen transmission. A major threat is the Varroa destructor mite, which feeds on honey bee fat bodies and transmits viruses, leading to significant colony losses. Detecting the parasite and defining the intervention thresholds for effective treatment is a difficult and time-consuming task; different detection methods exist, but they are mainly based on human eye observations, resulting in low accuracy. This study introduces a digital portable scanner coupled with an AI algorithm (BeeVS) used to detect Varroa mites. The device works through image analysis of a sticky sheet previously placed under the beehive for some days, intercepting the Varroa mites that naturally fall. In this study, the scanner was tested for 17 weeks, receiving sheets from 5 beehives every week, and checking the accuracy, reliability, and speed of the method compared to conventional human visual inspection. The results highlighted the high repeatability of the measurements (R2 ≥ 0.998) and the high accuracy of the BeeVS device; when at least 10 mites per sheet were present, the device showed a cumulative percentage error below 1%, compared to approximately 20% for human visual observation. Given its repeatability and reliability, the device can be considered a valid tool for beekeepers and scientists, offering the opportunity to monitor many beehives in a short time, unlike visual counting, which is done on a sample basis.
Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (Hermetia illucens) Through Artificial Substrates
Authors: Broeckx Laurens , Frooninckx Lotte , Berrens Siebe , Goossens Sarah , ter Heide Carmen , Wuyts Ann , Dallaire-Lamontagne Mariève , Van Miert Sabine
Published: January 2025

This study explores the optimisation of rearing substrates for black soldier fly larvae (BSFL). First, the ideal dry matter content of substrates was determined, comparing the standard 30% dry matter (DM) with substrates hydrated to their maximum water holding capacity (WHC). Substrates at maximal WHC yielded significantly higher larval survival rates (p = 0.0006). Consequently, the WHC approach was adopted for further experiments. Using these hydrated artificial substrates, fractional factorial designs based on central composite and Box–Behnken designs were employed to assess the impact of macronutrient composition on bioconversion efficiency. The results demonstrated significant main, interaction, and quadratic effects on bioconversion efficiency. Validation with real-life substrates of varied protein content, including indigestible feather meal, affirmed the predictive model’s accuracy after accounting for protein source digestibility. This research underscores the importance of optimal hydration and macronutrient composition in enhancing BSFL growth and bioconversion efficiency.
Clinical Characteristics and Outcomes in Heart Failure Patients with Implantable Pulmonary Artery Pressure Monitors: A Single Centre Irish Experience
Authors: Leahy Niall , O’Brien Cillian , Alsubai Sara Essa , Coen Eileen , Murphy Darragh , Sharif Faisal
Published: January 2025

Background: Hospitalisation for acute decompensated heart failure (HF) portends a poor prognosis. Fluid retention manifesting in dyspnoea and oedema are important clinical features of decompensated heart failure and drive hospital admissions. Intracardiac and pulmonary artery pressure (PAP) monitoring can help predict heart failure decompensation, as changes in these haemodynamics occur before clinical congestion manifests. Methods: A retrospective single centre analysis of patients who underwent insertion of the Cordella™ PA Sensor System (Endotronix, Inc., Chicago, IL, USA) in University Hospital Galway, Ireland, as part of three separate clinical trials—SIRONA 1, SIRONA 2, PROACTIVE HF, was performed. The primary clinical outcome assessed was the difference between HF hospitalisation pre- and post-sensor implantation. Results: In total, there were 33 patients with symptomatic HF who underwent device insertion between 2018 and 2023. All patients had NYHA class 3 heart failure, and 48.5% (n = 16) of patients had HF with reduced ejection fraction. Only one device-related complication was noted, and no pressure sensor failures occurred. In total, there were 26 admissions for HF decompensation 1-year pre-device insertion and only three admissions post-insertion. The difference in the mean number of HF hospitalisations per patient pre- and post-device insertion was 0.70 (p < 0.0001). The difference in mean NYHA class score pre- and post-insertion was 1.0 (p < 0.001). Conclusions: Data from this single-centre cohort study have shown that the insertion of the Cordella™ PA Sensor System in symptomatic HF patients was safe and resulted in statistically significant improvements in HF hospitalisations and NYHA class.
Metaverse-Aided Rehabilitation: A Perspective Review of Successes and Pitfalls
Authors: Vecchio Michele , Chiaramonte Rita , Buccheri Enrico , Tomasello Sofia , Leonforte Pierfrancesco , Rescifina Antonio , Ammendolia Antonio , Longo Umile Giuseppe , de Sire Alessandro
Published: January 2025

Background: The evolution of technology has continuously redefined the landscape of rehabilitation medicine. Researchers have long incorporated virtual reality (VR) as a promising intervention, providing immersive therapeutic environments for patients. The emergence of the metaverse has recently further expanded the potential applications of VR to augment the possibilities in rehabilitation. Rehabilitation is a crucial aspect of healthcare, and technological advancements have allowed new approaches to aid in this process. One such approach is the metaverse, a virtual world where users can interact with each other and their surroundings in a simulated environment. This comprehensive review aimed to analyze the scientific evidence using the term “metaverse” in rehabilitation and its potential patient benefits. Methods: We conducted a comprehensive literature search from the inception to September 2024 in PubMed, Scopus, Web of Science, and Cochrane Database to identify studies investigating the term “metaverse” and its role in rehabilitation. We then assessed these studies based on their methodology, patient population, technology used, and therapeutic outcomes. Results: Out of 81 articles, 55 remained after removing duplicates. After screening the title, abstract, and full text, we included five articles. Conclusions: Results from these studies suggested potential benefits in various rehabilitative areas, such as cerebral palsy, intellectual disabilities, pain management, and physical performance improvement among the elderly. The metaverse presents promising avenues for enhancing rehabilitation outcomes. While VR’s effectiveness is well established, the metaverse, being a newer concept, necessitates further studies for a more comprehensive understanding.
Burden of Common Mental Disorders in Ulcerative Colitis and Irritable Bowel Syndrome Patients: An Analysis of Risk Factors
Authors: Onisor Danusia , Avram Calin , Ruta Florina , Brusnic Olga , Boeriu Alina , Stoian Mircea , Boicean Adrian , Sasaran Maria
Published: January 2025

Background: Common mental disorders are an underdiagnosed comorbidity, which can significantly worsen the prognosis of the main disease and decrease the quality of life. We aimed to investigate the prevalence of depression and anxiety in a cohort of irritable bowel syndrome with diarrhea (IBS-D) and ulcerative colitis (UC) patients and to evaluate the risk factors for their occurrence. Materials and Methods: A total of 112 patients were evaluated. Multivariable analysis was used to determine associations between patient factors and common mental disorders, evaluated with PHQ-9 and GAD-7 questionnaires. Results: We found a significantly higher prevalence of moderate and severe anxiety among patients with IBS-D, when compared with the UC group (p < 0.01). Linear regression analysis revealed an inverse association between anti-TNF-alpha monoclonal antibodies treatment and a higher PHQ-9 score (p = 0.02). Multivariate analysis revealed that, in patients with UC, the presence of children has been associated with a higher GAD-7 score (p = 0.01), both individually and in combination with a higher duration of the disease. (p < 0.01). For IBS-D, a combination of active employment status and religious belief, active employment status and higher educational level, as well as religious belief and the presence of children correlated with higher GAD-7 scores (p = 0.03, p = 0.03 and p = 0.02, respectively). Conclusions: Infliximab used in the treatment for UC improved the parameters of depression. Patients with UC who have university education and a longer duration of the disease are at increased risk of developing depression and anxiety, especially if they have children in care. Regarding IBS-D patients who have an active work status, religious beliefs and caregivers are at increased risk of developing anxiety.
Detection of Acromion Types in Shoulder Magnetic Resonance Image Examination with Developed Convolutional Neural Network and Textural-Based Content-Based Image Retrieval System
Authors: Akçiçek Mehmet , Karaduman Mücahit , Petik Bülent , Ünlü Serkan , Mutlu Hursit Burak , Yildirim Muhammed
Published: January 2025

Background: The morphological type of the acromion may play a role in the etiopathogenesis of various pathologies, such as shoulder impingement syndrome and rotator cuff disorders. Therefore, it is important to determine the acromion’s morphological types accurately and quickly. In this study, it was aimed to detect the acromion shape, which is one of the etiological causes of chronic shoulder disorders that may cause a decrease in work capacity and quality of life, on shoulder MR images by developing a new model for image retrieval in Content-Based Image Retrieval (CBIR) systems. Methods: Image retrieval was performed in CBIR systems using Convolutional Neural Network (CNN) architectures and textural-based methods as the basis. Feature maps of the images were extracted to measure image similarities in the developed CBIR system. For feature map extraction, feature extraction was performed with Histogram of Gradient (HOG), Local Binary Pattern (LBP), Darknet53, and Densenet201 architectures, and the Minimum Redundancy Maximum Relevance (mRMR) feature selection method was used for feature selection. The feature maps obtained after the dimensionality reduction process were combined. The Euclidean distance and Peak Signal-to-Noise Ratio (PSNR) were used as similarity measurement methods. Image retrieval was performed using features obtained from CNN architectures and textural-based models to compare the performance of the proposed method. Results: The highest Average Precision (AP) value was reached in the PSNR similarity measurement method with 0.76 in the proposed model. Conclusions: The proposed model is promising for accurately and rapidly determining morphological types of the acromion, thus aiding in the diagnosis and understanding of chronic shoulder disorders.
The Impact of Rest Intervals on the Force–Velocity Relationship Obtained During the Keiser’s 10-Repetition Leg Press Test
Authors: Kalhovde John Magne , Johannessen Christian M. M. , Aasen Sigmund B. , Tønnessen Espen
Published: January 2025

Background: The Keiser 10-rep leg press test protocol employs short inter-repetition rest intervals (2–38 s), raising concerns as to whether athletes perform optimally. Objectives: The aim of this study was to compare the results of the standard Keiser protocol with an identical protocol modified to include a significantly longer inter-repetition rest intervals and to evaluate whether these effects differed between men and women. Methods: A total of 30 athletes (age 17.1 ± 0.9 years, height 177.8 ± 8.8 cm, and body mass 71.9 ± 11.3 kg) performed three separate tests (total of ~900 repetitions) in a Keiser A420 leg press machine, separated by 4 to 8 days. Test day 1 included a 1RM test followed by a 10-repetition force–velocity test with a standard rest intervals. Test days 2 and 3 involved the same test, with either standard short rest intervals or fixed 3 min inter-repetition rest intervals. Results: Increasing inter-repetition rest intervals significantly improved V0 and Pmax for men and V0 and FVslope for women. The benefits of longer rest were notably more pronounced in men, particularly at light to moderate loads, where standard Keiser rest intervals are short (2–9 s). However, extending rest intervals beyond approximately 30 s, as applied at higher loads, provided no additional advantages. Conclusions: Longer rest intervals improved force–velocity metrics more in men than women, with the effect being most pronounced at light to moderate loads where standard protocols utilize short rest intervals (2–9 s). These findings suggest that women recover faster than men under these conditions. However, extending rest beyond 30 s at higher loads provides no additional benefits and is counterproductive at maximal loads.
A Local Adversarial Attack with a Maximum Aggregated Region Sparseness Strategy for 3D Objects
Authors: Zhao Ling , Lv Xun , Zhu Lili , Luo Binyan , Cao Hang , Cui Jiahao , Li Haifeng , Peng Jian
Published: January 2025

The increasing reliance on deep neural network-based object detection models in various applications has raised significant security concerns due to their vulnerability to adversarial attacks. In physical 3D environments, existing adversarial attacks that target object detection (3D-AE) face significant challenges. These attacks often require large and dispersed modifications to objects, making them easily noticeable and reducing their effectiveness in real-world scenarios. To maximize the attack effectiveness, large and dispersed attack camouflages are often employed, which makes the camouflages overly conspicuous and reduces their visual stealth. The core issue is how to use minimal and concentrated camouflage to maximize the attack effect. Addressing this, our research focuses on developing more subtle and efficient attack methods that can better evade detection in practical settings. Based on these principles, this paper proposes a local 3D attack method driven by a Maximum Aggregated Region Sparseness (MARS) strategy. In simpler terms, our approach strategically concentrates the attack modifications to specific areas to enhance effectiveness while maintaining stealth. To maximize the aggregation of attack-camouflaged regions, an aggregation regularization term is designed to constrain the mask aggregation matrix based on the face-adjacency relationships. To minimize the attack camouflage regions, a sparseness regularization is designed to make the mask weights tend toward a U-shaped distribution and limit extreme values. Additionally, neural rendering is used to obtain gradient-propagating multi-angle augmented data and suppress the model’s detection to locate universal critical decision regions from multiple angles. These technical strategies ensure that the adversarial modifications remain effective across different viewpoints and conditions. We test the attack effectiveness of different region selection strategies. On the CARLA dataset, the average attack efficiency of attacking the YOLOv3 and v5 series networks reaches 1.724, which represents an improvement of 0.986 (134%) compared to baseline methods. These results demonstrate a significant enhancement in attack performance, highlighting the potential risks to real-world object detection systems. The experimental results demonstrate that our attack method achieves both stealth and aggressiveness from different viewpoints. Furthermore, we explore the transferability of the decision regions. The results indicate that our method can be effectively combined with different texture optimization methods, with the average precision decreasing by 0.488 and 0.662 across different networks, which indicates a strong attack effectiveness.
Development and Validation of a Game-Based Assessment for Complex Problem Solving
Authors: Li Jian , Li Yi Ming , Xing Yun-Xuan , Zhang Bo , Tang Yun , Drasgow Fritz
Published: January 2025

Complex problem solving (CPS) refers to a set of higher-order capacities that allow an individual to interact with a dynamic environment and solve complex problems. The purpose of this study was to develop and validate Sokoban, a game-based assessment of the planning–execution stage of the CPS framework proposed by PISA 2012. The psychometric properties of this instrument were examined in a large sample of Chinese students (n = 1145) ranging from elementary to tertiary education. The results supported the two-faceted nature of Sokoban, as well as providing preliminary evidence about criterion-related and predictive validity for the planning–execution stages of complex problem solving. These empirical results lend support to the validity of this game-based assessment, as well as its practical implications in educational settings.
Assessing Variability in Children’s Exposure to Contaminants in Food: A Longitudinal Non-Targeted Analysis Study in Miami, Florida
Authors: Dias Cappelini Luciana Teresa , Ogunbiyi Olutobi Daniel , Guimarães Ferreira Vinícius , Monem Mymuna , Cuchimaque Lugo Carolina , Perez Monica Beatriz , Gardinali Piero , George Florence , Bagner Daniel M. , Quinete Natalia
Published: January 2025

Food is essential for human survival; however, food can be an important route of exposure to contaminants. This study investigated the presence and distribution of anthropogenic contaminants in food consumed by families with small children in South Florida, United States, evaluating seasonal and socio-economic variabilities in chemical composition. QuEChERS protocols, followed by non-targeted analysis (NTA) using an LC-Orbitrap HRMS system, were used for the comprehensive screening of organic contaminants. The compounds were annotated and identified with the Compound Discoverer (CD) software, and contaminant distributions were analyzed using boxplots and Principal Component Analysis (PCA). The results showed significant seasonal and socio-economic differences in contaminant distributions (p < 0.05). In the wet season, a predominance of polymers and surfactants, such as dodecanedioic acid and N-dodecylacrylamide, were found in food, which might be due to increased transport of industrial pollutants during increased precipitation, while plasticizers (e.g., bis(2-ethylhexyl) phthalate) and drugs (e.g., warfarin) were more prevalent during the dry season, which could be related to less dilution effects in this period. A higher abundance of 1-nitrosopiperidine, present in cured meats, was noted in food from upper socio-economic classes, while the lower class showed higher abundance of benzocaine, a common topical anesthetic.
Ecological Waves at Tourist Attractions on the Qinghai-Tibet Plateau Promote Greenness of Surrounding Vegetation
Authors: Yang Zitao , Tian Li
Published: January 2025

The unique tourism resources of the Qinghai-Tibet Plateau have created conditions for the development of ecotourism, while the existence of attractions may also have positive and negative impacts on the surrounding environment. This study defines the radiation waves that generate ecological effects as “ecological waves”, quantifies the ecological waves of attractions by buffer zone analysis of the normalized difference vegetation index (NDVI) within 20 km of 38 4A and 5A attractions on the Qinghai-Tibet Plateau in 2020, and elaborately explores the ecological effects of attractions on the surrounding environment. By combining the principle of ripple effects, it analyzes the impact of urban attractions on urban vegetation environments. The study found that attractions on the Qinghai-Tibet Plateau have a positive ecological effect on the surrounding vegetation, the positive ecological effect of suburban attractions has a distance threshold, effectively promoting vegetation greenness within a range of 6–14 km, and the ecological effect disappears beyond 14 km. In addition, applying the ripple effect model to urban attractions and city centers (Xining and Lhasa), the results indicated that among the five urban attractions in Xining, Kumbum Monastery, Qinghai Tibetan Culture Center, and Country Farming Ecological Park (with distance restrictions of 2–20 km) have significant positive ecological effects within the built-up area, while the ecological effects of Qinghai Province Museum and Qinghai-Tibetan Plateau Safari Park are not significant. The positive ecological effects of the five urban attractions in Lhasa within the built-up area are not significant, and different attractions have different distance thresholds for ecological effects. Furthermore, this study found that attractions in Qinghai have a better ecological foundation around them than attractions in Tibet, making them more suitable for the development of ecotourism. This study has opened up a new perspective on the ecological effects of attractions and provided scientific references for the development of ecological tourism in the Qinghai-Tibet Plateau.
Advancing Chronic Liver Disease Diagnoses: Targeted Proteomics for the Non-Invasive Detection of Fibrosis
Authors: Villanueva Raisman Andrea , Kotol David , Altay Ozlem , Mardinoglu Adil , Atak Dila , Yurdaydin Cihan , Akyildiz Murat , Dayangac Murat , Kirimlioglu Hale , Zeybel Müjdat , Edfors Fredrik
Published: January 2025

Chronic liver disease poses significant challenges to healthcare systems, which frequently struggle to meet the needs of end-stage liver disease patients. Early detection and management are essential because liver damage and fibrosis are potentially reversible. However, the implementation of population-wide screenings is hindered by the asymptomatic nature of early chronic liver disease, along with the risks and costs associated with traditional diagnostics, such as liver biopsies. This study pioneers the development of innovative, minimally invasive methods capable of improving the outcomes of liver disease patients by identifying liver disease biomarkers using quantification methods with translational potential. A targeted mass spectrometry assay based on stable isotope standard protein epitope signature tags (SIS-PrESTs) was employed for the absolute quantification of 108 proteins in just two microliters of plasma. The plasma profiles were derived from patients of various liver disease stages and etiologies, including healthy controls. A set of potential biomarkers for stratifying liver fibrosis was identified through differential expression analysis and supervised machine learning. These findings offer promising alternatives for improved diagnostics and personalized treatment strategies in liver disease management. Moreover, our approach is fully compatible with existing technologies that facilitate the robust quantification of clinically relevant protein targets via minimally disruptive sampling methods.
Modeling and Simulation of Dynamic Recrystallization Microstructure Evolution for GCr15 Steel Using the Level Set Method
Authors: Chen Xuewen , Liu Mingyang , Yang Yisi , Si Yahui , Zhou Zheng , Zhou Xudong , Jung Dongwon
Published: January 2025

The microstructure of metallic materials plays a crucial role in determining their performance. In order to accurately predict the dynamic recrystallization (DRX) behavior and microstructural evolution during the hot deformation process of GCr15 bearing steel, a microstructural evolution model for the DRX process of GCr15 steel was established by combining the level set (LS) method with the Yoshie–Laasraoui–Jonas dislocation dynamics model. Firstly, hot compression tests were conducted on GCr15 steel using the Gleeble-1500D thermal simulator, and the hardening coefficient k1 and dynamic recovery coefficient k2 of the Yoshie–Laasraoui–Jonas model were derived from the experimental flow stress data. The effects of temperature, strain, and strain rate on DRX behavior and grain size during the hot working process of GCr15 steel were investigated. Through secondary development of the software, the established microstructural evolution model was integrated into the DIGIMU® software. Metallographic images were imported in situ to reconstruct its initial microstructure, enabling GCr15 steel DRX microstructure finite element simulation of the hot compression process. The predicted mean grain size and flow stress demonstrated a strong correlation and excellent agreement with the experimental results. The results demonstrate that the established DRX model effectively predicts the evolution of the DRX fraction and average grain size during the hot forging process and reliably forecasts DRX behavior.