bluuebunny/crossref_metadata_2025 huggingface dataset:
Electromagnetic Absorber-Embedded Ka-Band Double-Layer Tapered Slot Antenna for the Reduced Radar Cross Section at X-Band
Authors: Kim Wonkyo , Kim Youngwan , Chae Hee-Duck , Joo Jihan , Kwon Jun-Beom , Yoon Ick-Jae
Published: February 2025

An electromagnetic (EM) absorber-embedded Ka-band double-layer tapered slot antenna (DLTSA) is proposed in this work. The EM absorber is placed on both sides of the tapered radiating slots as a means of achieving the reduced monostatic radar cross section (RCS) at the X-band. A conventional tapered slot antenna (TSA) with EM absorbers at the same position suffers from the distorted current distribution from the feedline to the radiating slots and causes a degraded radiation performance with a tilted beam. In contrast, the DLTSA with EM absorbers maintains the impedance and radiation characteristics of the antenna without the EM absorbers, while achieving the reduced monostatic RCS for the cross-polarized incident wave. The functionality of the reduced RCS is verified with the 4-by-4 DLTSA array design. The 4-by-4 array prototype with FGM-125 EM absorbers is matched at the Ka-band with a 14.7 dBi boresight gain at 35 GHz. The monostatic RCS is measured in an indoor environment, showing 6.5 dB monostatic RCS reduction at the X-band on average, verifying the computed expectations. This work validates the possible use of EM absorbers at the front side of a missile seeker composed of end-fire radiating elements.
An Enhanced Neural Network Forecasting System for July Precipitation over the Middle-Lower Reaches of the Yangtze River
Authors: Liu Wenyan , Shi Xiangjun
Published: February 2025

Forecasting July precipitation using prophase winter sea surface temperature through a nonlinear machine learning model remains challenging. Given the scarcity of observed samples and more attention should be paid to anomalous precipitation events, the shallow neural network (NN) and several improving techniques are employed to establish the statistical forecasting system. To enhance the stability of predicted precipitation, the final output precipitation is an ensemble of multiple NN models with optimal initial seeds. The precipitation data from anomalous years are amplified to focus on anomalous events rather than normal events. Some artificial samples are created based on the relevant background theory to mitigate the problem of insufficient sample size for model training. Sensitivity experiments indicate that the above techniques could improve the stability and interpretability of the forecasting system. Rolling forecasts further indicate that the forecasting system is robust and half of the anomalous events can be successfully predicted. These improving techniques used in this study can be applied not only to the precipitation over the middle-lower reaches of the Yangtze River but also to other climate events.
Effects of Prenatal Herbal Methionine Supplementation on Growth Indices, Onset of Puberty, Blood Metabolites, and Fertility of Alpine Doelings
Authors: Cuevas-Reyes Venancio , Flores-Sánchez Jorge , Ramírez de la Cruz Esau , Vázquez-García Juan M. , Hernández-Arteaga Luisa E. S. , Sims Reagan , Cavazos-Galindo Jaime M. , Mellado Miguel , Rosales-Nieto César A.
Published: February 2025

This study investigated the effects of prenatal herbal methionine supplementation on growth, puberty onset, reproductive efficiency, and blood metabolites in first-generation G1 Alpine doelings. Sixty pregnant multiparous goats (G0), each with at least three parturitions, were assigned during the last trimester of pregnancy to either herbal methionine (H-MET-G0; 1% Optimethione®; n = 30) or a control group (CTL-G0; n = 30). Only female offspring (G1 doelings) were studied (H-MET-G1:19; CTL-G1:25) from weaning (45 days old) to 10 months (first breeding). G1 doelings were weighed and monitored weekly for metabolites, IGF-1, insulin, and progesterone. Ovulation of the G1 doelings was induced using vasectomized bucks, followed by breeding with intact bucks. Postweaning growth, age at puberty (H-MET-G1:216 vs. CTL-G1:229 days), and live weight at puberty (H-MET-G1:20.5 vs. CTL-G1:21.0 kg) did not significantly differ (p > 0.05). Age at puberty and conception were negatively correlated with live weight (p < 0.001). First-cycle conception rates were 81% in CTL-G1 and 66% in H-MET-G1, with similar days to conception (p > 0.05). The number of pregnant doelings and the number of kids in utero did not significantly differ (p > 0.05) between treatments. Plasma IGF-1 and insulin levels were significantly higher (p < 0.001) in H-MET-G1 doelings, whereas plasma metabolites related to nutrition showed no differences between groups (p > 0.05). Prenatal herbal methionine supplementation had no carry-over effect on growth, puberty onset, or reproductive efficiency. Age at puberty and conception were negatively correlated with live weight and positively correlated with IGF-1 and insulin levels.
Enhancing Cardiovascular Risk Prediction with a Simplified Carotid IMT Protocol: Evidence from the IMPROVE Study
Authors: Veglia Fabrizio , Malagoni Anna Maria , Amato Mauro , Strawbridge Rona J. , Savonen Kai , Giral Philippe , Gallo Antonio , Pirro Matteo , Gigante Bruna , Eriksson Per , Mulder Douwe J. , Frigerio Beatrice , Sansaro Daniela , Ravani Alessio , Coggi Daniela , Baetta Roberta , Capra Nicolò , Tremoli Elena , Baldassarre Damiano
Published: February 2025

Background/Objectives: Carotid intima-media thickness (CIMT) has long been used as an index of subclinical atherosclerosis, but its role as a risk modifier in cardiovascular (CV) risk optimization has recently been questioned due to methodological problems, such as lack of protocol standardization and scanning difficulties. In this multicentre, longitudinal, and observational study, we tested the predictive ability of two new CIMT variables detectable with a simplified, quick, and easy-to-standardize protocol. Methods: CIMT was measured in 3165 subjects from six centers, in five European countries, belonging to the IMPROVE study. The two variables tested were the average of two maximal CIMT measures taken, from a single angle, in the right and left common carotids (1CC-IMTmean-of-2-max) or bifurcations (BIF-IMTmean-of-2-max). The ability to predict CV events, on top of the SCORE2/SCORE2-OP risk algorithm, was quantified by the time-dependent increase in the receiver operating characteristic (ROC) area under the curve (AUC). Results: During a median follow-up of 7.1 years, 367 cardio-, cerebro-, and peripheral-vascular events were registered. Both CIMT variables tested were associated with CV risk, but 1CC-IMTmean-of-2-max was also able to significantly increase the ROC AUC over the risk score (+0.017, p = 0.014). The result was stable after running several sensitivity analyses. Conclusions: 1CC-IMTmean-of-2-max is able to significantly improve the predictive capacity of SCORE2/SCORE2-OP. Being based on a simple and easily standardized measurement protocol, this new variable is a promising candidate for application in mass screening and risk assessment in primary prevention.
Multimodal Morphometric Similarity Network Analysis of Autism Spectrum Disorder
Authors: Del Casale Antonio , Shehu Darvin , Rossi-Espagnet Maria Camilla , Zocchi Clarissa , Bilotta Irene , Arena Jan Francesco , Alcibiade Alessandro , Adriani Barbara , Longo Daniela , Gandolfo Carlo , Romano Andrea , Ferracuti Stefano , Bozzao Alessandro , Napolitano Antonio
Published: February 2025

Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent difficulties in social interaction, communication, and repetitive behaviors. Neuroimaging studies have revealed structural and functional neural changes in individuals with ASD compared to healthy subjects. Objectives: This study aimed to investigate brain network structural connectivity in ASD using Morphometric Similarity Network (MSN) analysis. Methods: Data from the Autism Brain Imaging Data Exchange (ABIDE) were analyzed, comprising 597 individuals with ASD and 644 healthy controls. Structural connectivity was assessed using cortical morphometric features. Global and regional network indices, including the density index, node degree, node strength, and clustering coefficients, were evaluated. Results: Among the global network indices, when using a threshold value of 0.4, ASD patients compared to HCs showed a lower density (p = 0.041) and higher negative clustering (p = 0.0051) coefficients. For regional network indices, ASD patients showed a lower bilateral superior frontal cortices degree (left hemisphere: p = 0.014; right hemisphere: p = 0.0038) and strength (left: p = 0.017; right: p = 0.018). Additionally, they showed higher negative clustering coefficients in the bilateral superior frontal cortices (left, p = 0.0088; right, p = 0.0056) and bilateral pars orbitalis (left, p = 0.016; right, p = 0.0006), as well as lower positive clustering in the bilateral frontal pole (left, p = 0.03; right, p = 0.044). Conclusions: These findings highlight significant alterations in both global and regional brain network organization in ASD, which may contribute to the disorder’s cognitive and behavioral manifestations. Future studies are needed to investigate the pathophysiological mechanisms underlying these structural connectivity changes, to inform the development of more targeted and individualized therapeutic interventions for individuals with ASD.
Evaluating Tumor Size to Ki67 Proliferation Index Ratio for Optimizing Surgical Axillary Treatment Decisions in Breast Cancer Patients
Authors: Pellicciaro Marco , Materazzo Marco , Bertolo Alice , Tacconi Federico , Bastone Sebastiano Angelo , Calicchia Francesco , Eskiu Denisa , Toscano Enrica , Sadri Amir , Treglia Michele , Berretta Massimiliano , Longo Benedetto , Cervelli Valerio , Buonomo Oreste Claudio , Vanni Gianluca
Published: February 2025

Despite advancements in breast cancer surgery, the decision-making process for axillary treatment remains complex, necessitating new predictors like the tumor size to Ki67 proliferation index ratio. Intraoperative examination of the sentinel lymph node is performed to reduce the risk of a secondary surgery. Several studies have demonstrated that even in the presence of moderate nodal involvement, local disease control can be achieved by omitting axillary lymph node dissection (ALND). The aim of our retrospective study is to compare patients subjected to sentinel lymph node biopsy (SNLB) with or without intraoperative evaluation. This study included patients with breast cancer who underwent breast-conserving surgery and SNLB. Of the 551 patients, 333 (60.4%) underwent an SNLB intraoperative evaluation (SLNB-IE), while 218 (39.6%) underwent sentinel lymph node dissection diagnostic evaluation (SLNB-DE). Our analysis revealed that the tumor size to Ki67 ratio is an independent predictive factor for axillary tumor burden, suggesting its utility in surgical decision-making. A secondary ALND was performed in 2 (0.6%) vs. 7 (2.8%), p = 0.032, and in 1 (0.4%) vs. 4 (2.1%), p = 0.171, excluding patients with T ≥ 2. Surgical time was significantly shorter (p > 0.001) in the SLNB-DE group. According to a multivariate analysis, lesion dimension (OR 1.678; 95%CI 1.019–2.145; WALD:7.588; p = 0.006) and the ratio of lesion dimension to the Ki67 proliferation index (OR 0.08; 95%CI 0.011–0.141; WALD:11.004 p = 0.001) were both predictive factors for a higher axillary tumor burden. A value of 0.425, which is the ratio of tumor dimension to the Ki67 proliferation index, was identified as a predictor of tumor burden in the axilla (sensitivity, 78%; specificity, 87.5%). Intraoperative evaluation of SNLB may be omitted but could be considered in potential candidates for cyclin inhibitor and cN0 therapy with a higher ratio of tumor dimension to the Ki67 proliferation index in order to avoid secondary surgery.
Ovarian Cancer in Women with Intellectual Disability: Current Data
Authors: Trétarre Brigitte , Satgé Daniel
Published: February 2025

Objective: We evaluate ovarian cancer (OC) in women with intellectual disability (ID). Methods: We reviewed the literature and added personal observations. The literature search included data from epidemiological studies on cancer incidence and mortality, institutional experiences, and case reports. We also used data from the Hérault Tumor Registry (HTR) in southern France. Results: A total of 72 articles met the inclusion criteria, which included 41 cases of OC. The review yielded 29 (74%) germ cell tumors, mainly in girls and young women, and only 4 (10%) ovarian carcinomas, all in adult women. In contrast, the HTR contained six cases of OC and one borderline tumor in adult women with ID aged > 45 years, but no cancer in children and adolescents with ID. These OC cases in adults were discovered at an advanced stage. We found that symptoms revealing OC in women with ID do not differ from those in the general population. However, diagnosis is more complicated in women with ID because they do not communicate easily and may express pain and unease in an unusual way, often through behavioral changes. Conclusion: OC could be as frequent in women with ID as in the general population and discovered at a late stage. The literature review indicates that girls and adolescents with ID develop mainly germ cell OC, and few carcinomas have been reported in women with ID. In contrast, the HTR was similar to the general population, with carcinomas in women with ID and no OC in children with ID.
Risk Models to Predict Screen-Detected and Interval Breast Cancers in Population Mammography Screening Participants
Authors: Noguchi Naomi , Teixeira-Pinto Armando , Marinovich Michael Luke , Louw Dominique Claire , Wylie Elizabeth Jane , Houssami Nehmat
Published: February 2025

Aim: The aim of this study was to determine whether women at risk of having screen-detected (including detected at advanced stage) and interval breast cancer can be accurately identified using conventional risk factors collected by national screening programs. Methods: All 1,026,137 mammography screening examinations for 323,082 women attending the BreastScreen Western Australia program (part of Australia’s national biennial screening program) in July 2007–June 2017 contributed to models for predicting screen-detected breast cancers, screen-detected advanced cancers (≥pT2), and interval cancers. Results: In total, 7024 screen-detected (1551 in situ, 5472 invasive, of which 1329 were ≥pT2) and 1866 interval cancers (76 in situ, 1790 invasive) were diagnosed. In a multivariable model for screen-detected cancers, the ORs for the oldest age groups were 2.56 (CI 2.32–2.82) for 60–69 years and 3.60 (CI 3.23–4.00) for ≥70 years, and the OR for symptoms was 7.44 (CI 6.76–8.20). These associations were stronger for screen-detected advanced cancers. First-degree family history and a personal history of breast cancer were also associated with risk. In a multivariable model for interval cancers, the HR for dense breasts was 2.36 (CI 2.14–2.61) and the HR for symptoms was 3.27 (CI 2.53–4.24); family history and recent hormone replacement therapy use were also associated with risk. The areas under the receiver operating characteristic curves were 0.643 (CI 0.636–0.650) for screen-detected cancers, 0.651 (CI 0.638–0.664) for screen-detected advanced cancers, and 0.706 (CI 0.690–0.722) for interval cancers. Conclusion: Older age and symptoms were the strongest predictors of overall and advanced screen-detected breast cancers. Dense breasts and symptoms were the strongest predictors of interval cancers. All models had moderate discrimination, approximating that for established models.
Defect-Rich Co(OH)2 Induced by Carbon Dots for Oxygen Evolution Reaction
Authors: Han Xuan , Guo Chao , Wang Hui , Xu Weijuan , Liu Qinlian , Zhao Qingshan , Wu Mingbo
Published: February 2025

Hydrogen production from water electrolysis offers a highly promising and sustainable route to solve the energy crisis. However, it is severely limited by the sluggish kinetics of the oxygen evolution reaction (OER) occurring on the anode. Herein, employing carbon dots functionalized with benzene sulfonate groups (BS-CDs) as a distinctive inductor, a Co(OH)2 catalyst featuring abundant defects was synthesized for an enhanced OER. The highly hydrophilic nature of BS-CDs exerts a significant interfacial induction effect on the growth dynamics of Co(OH)2, fostering the formation of elevated crystal defects and a substantial quantity of oxygen vacancies. The resulting BS-CDs/Co(OH)2 catalyst requires an overpotential of only 340 mV to achieve a current density of 10 mA cm−2 in alkaline media, demonstrating markedly improved OER activity compared to pristine Co(OH)2 and N-CDs/Co(OH)2 induced by amine-modified CDs. Furthermore, the structural integrity of the catalyst is maintained, with a current retention rate of 92% observed following a 20 h stability assessment. This work provides a novel approach for developing cost-effective transition metal catalysts that exhibit exceptional catalytic efficiency and excellent stability for the OER.
TIAM2S Operates Multifaced Talents to Alleviate Radiosensitivity, Restrict Apoptosis, Provoke Cell Propagation, and Escalate Cell Migration for Aggravating Radioresistance-Intensified Cervical Cancer Progression
Authors: Chuang Pei-Chin , Su Wen-Hong , Hsieh Ching-Hua , Huang Eng-Yen
Published: February 2025

Radioresistance remains a major obstacle in cervical cancer treatment, frequently engendering tumor relapse and metastasis. However, the details of its mechanism of action remain largely enigmatic. This study delineates the prospective impacts of short-form human T-cell lymphoma invasion and metastasis 2 (TIAM2S) involving the radiation resistance of cervical cancer. In this study, we established three pairs of radioresistant (RR) cervical cancer cells (HeLa, C33A and CaSki) and their parental wild-type (WT) cells. We revealed a consistent augmentation of TIAM2S, but not long-form human T-cell lymphoma invasion and metastasis 2 (TIAM2L) were displayed in RR cells that underwent a 6 Gy radiation administration. Remarkably, RR cells exhibited decreased radiosensitivity and abridged apoptosis, as estimated through a clonogenic survival curve assay and Annexin V/Propidium Iodide apoptosis assay, respectively. TIAM2S suppression increased radiosensitivity and enhanced cell apoptosis in RR cells, whereas its forced introduction modestly abolished radiosensitivity and diminished WT cell apoptosis. Furthermore, TIAM2S overexpression notably aggravated RR cell migration, whereas its blockage reduced WT cell mobilities, as confirmed by an in vitro time-lapse recording assay. Notably, augmented lung localization was revealed after a tail-vein injection of CaSki-RR cells using the in vivo short-term lung locomotion BALB/c nude mouse model. TIAM2S impediment notably reduced radioresistance-increased lung locomotion. This study provides evidence that TIAM2S may operate as an innovative signature in cervical cancer that is resistant to radiotherapy. It displays multi-faceted roles including radioprotection, restricting apoptosis, promoting cell proliferation, and escalating cell migration/metastasis. Targeting TIAM2S, together with conventional radiotherapy, may be an innovative strategy for intensifying radiosensitivity and protecting against subsequent uncontrolled tumor growth and metastasis in cervical cancer treatment.
The Cholinergic Receptor Nicotinic α3 Was Reduced in the Hippocampus of Early Cognitively Impaired Adult Male Mice and Upregulated by Nicotine and Cytisine in HT22 Cells
Authors: Ota Hidetaka , Ohnuma Takako , Kodama Ayuto , Shimizu Tatsunori , Sugawara Kaoru , Yamamoto Fumio
Published: February 2025

Ageing is a major risk factor for cognitive and physical decline, but its mechanisms remain poorly understood. This study aimed to detect early cognitive and physical changes, and to analyze the pathway involved by monitoring two groups of mice: a young and an adult group. The study has identified the types of molecules involved in the hippocampus. Adult mice (47 weeks) showed significantly reduced exploratory behavior compared to young mice (11 weeks), although spatial working memory showed no difference. In terms of physical function, grip strength was significantly reduced in adult mice. The Frailty Index (FI) further highlighted age-related changes in adult mice. To investigate the causes of cognitive decline, adult mice were categorized based on their declining cognitive function. Microarray analysis of their hippocampi revealed that the cholinergic receptor nicotinic α3 subunit (Chrna3) was significantly reduced in mice with cognitive decline compared to controls. Subsequent in vitro experiments showed that oxidative stress and cholinesterase inhibitors decreased Chrna3 expression, whereas nicotine and cytisine increased it. These results suggest that Chrna3 is a key factor in age-related cognitive decline. The development of therapeutic strategies targeting Chrna3 expression may offer promising avenues for preclinical and clinical research to mitigate cognitive ageing.
A Study on Self-Compassion and Attachment Styles as the Predictors of Life Satisfaction in Children in Need of Protection
Authors: Atalar Elif Tuğçe , Koca Fatih
Published: February 2025

Background and Objectives: Societies are obliged to ensure that children in need of protection grow up psychologically, socially, and physically healthy. To achieve that, various practices have been developed. One of these practices is the use of children’s homes sites. Accordingly, this study examined the relationships between the life satisfaction, attachment styles, and self-compassion levels of children in need of protection staying in children’s homes sites. It aimed to determine to what extent variables such as attachment style and self-compassion predict life satisfaction. In addition, whether life satisfaction differs according to gender, age, and the status of having a visitor was examined. Methods: The study sample consisted of 121 children between the ages of 8 and 14 who were staying in children’s homes sites in Istanbul between March and May 2022. The Satisfaction with Life Scale, the short form of the Self-Compassion Scale, the Three-Dimensional Attachment Style Scale, and the Personal Information Form were used with the participants. The researchers used the independent samples t-test, multiple linear regression analysis, Pearson product moment coefficient, and one-way analysis of variance (ANOVA) during the analysis. Results: The findings showed that there was a significant positive relationship between secure attachment style and life satisfaction, anxious–ambivalent attachment, and self-compassion. Also, among the demographic variables, being visited by relatives was found to predict life satisfaction, while there was no relationship between life satisfaction and age and gender. Conclusions: The study findings were discussed within the framework of the literature, and suggestions based on the findings were presented.
Dupilumab, a Potential Novel Treatment for Hailey–Hailey Disease
Authors: Popa Liliana Gabriela , Giurcaneanu Calin , Zaharia Florentina , Grigoras Andreea , Oprea Alexandra Denisa , Beiu Cristina
Published: February 2025

Background/Objectives: Hailey–Hailey disease (HHD) is an uncommon genodermatosis with autosomal dominant inheritance caused by loss-of-function mutations in the ATP2C1 gene, which lead to disruption in keratinocyte adhesion and intraepidermal acantholysis. The chronic nature of the disease, its frequent recurrences and the lack of specific treatment pose real challenges in the long-term management of these patients. Recent studies have evaluated the effect of dupilumab, a human monoclonal antibody that blocks interleukin-4 and -13 receptor in refractory HHD, with very promising results. The aim of this study was to review the published data on the use of dupilumab for the treatment of HHD, to present our own experience in the field, and to discuss the mechanisms underlying dupilumab’s beneficial effects in HHD and the future treatment perspectives. Methods: A search of the medical literature on the use of dupilumab in the treatment of HHD was conducted. The terms “Hailey–Hailey disease”, “benign familial pemphigus”, “benign chronic pemphigus”, and “dupilumab” were searched across multiple databases (Medline, Chrocane Library, EMBASE) from inception until 30 September 2024. Results: To date, six manuscripts describing 11 refractory HHD cases treated with dupilumab have been published. All the patients experienced significant clinical improvement. The authors reported sustained disease quiescence in seven patients (64%), monitored for 5 to 24 months. None of the patients experienced adverse effects related to dupilumab. To the existing evidence, we add a new case of recalcitrant HHD successfully treated with dupilumab. Conclusions: Mounting evidence indicates dupilumab as a safe and efficient therapeutic alternative in patients with severe, refractory HHD. However, the long-term efficacy of dupilumab and the optimal therapeutic regimen for HHD are yet to be determined.
The Decision Between Tooth Retention or Replacement with Implants: A Continuing Dilemma
Authors: Bentour Eleni , Papamanoli Eirini , Karoussis Ioannis K.
Published: February 2025

The global adoption of dental implants has significantly reshaped modern dental practices, with the market projected to reach USD 16 billion by 2029. However, despite high success rates, dental implants can still be prone to complications, particularly when underlying causes of tooth loss, such as periodontal disease and bone loss, are not addressed. This paper explores the biological and mechanical considerations in the decision-making process between preserving a tooth through periodontal therapy or opting for extraction and implant placement. It also highlights the importance of a holistic approach that includes assessing the patient’s oral health, periodontal status, and the biomechanical factors influencing tooth retention. Periodontal therapy has been proven to be highly effective, with both non-surgical and surgical therapies showing long-term efficacy in preserving natural teeth, especially in the presence of furcation involvement. Studies show that proper periodontal management, including regular maintenance therapy after the active therapy, significantly enhances tooth survival, even in cases of severe periodontitis. In contrast, dental implants, while effective, are not free of complications, mainly inflammatory peri-implant diseases, but also mechanical complications, which can compromise long-term outcomes. The paper reviews clinical studies on implant survival, demonstrating that periodontal therapy can sometimes offer a more cost-effective and biologically sound alternative to implant therapy, especially for teeth with severe attachment loss or furcation involvement. In conclusion, treatment decisions should be based on a comprehensive evaluation of clinical, biological, and patient-specific factors. By integrating regenerative therapies even in more compromised teeth and addressing the root causes of tooth loss, implant rehabilitation can be postponed for many years and offer a cost-effective and successful long-term treatment plan. This approach underscores the importance of individualized care in the evolving landscape of restorative dentistry and implantology.
Chronic Inflammation and Glycemic Control: Exploring the Bidirectional Link Between Periodontitis and Diabetes
Authors: Ranbhise Jyotsna Suresh , Ju Songhyun , Singh Manish Kumar , Han Sunhee , Akter Salima , Ha Joohun , Choe Wonchae , Kim Sung Soo , Kang Insug
Published: February 2025

Periodontitis and diabetes mellitus are two highly prevalent chronic conditions that share a bidirectional relationship, significantly impacting public health. Periodontitis, a gum inflammation caused by microbial dysbiosis, aggravates glycemic control in diabetics, while uncontrolled diabetes heightens periodontitis severity. These conditions create a vicious cycle, where inflammation and microbial dysbiosis mutually drive disease progression, exacerbating systemic health. The underlying mechanisms involve inflammation, immune dysfunction, and microbial dysbiosis, with both diseases contributing to a chain of chronic inflammation that exacerbates systemic health. This relationship is significant because managing one condition can significantly impact the other. In diabetic individuals, interventions such as periodontal therapy have shown effectiveness in improving glycemic control, underscoring the potential of integrated strategies for managing these conditions simultaneously. In this review, we highlight the importance of a deeper understanding of the molecular and immunological interactions between these diseases is essential for developing integrated therapeutic approaches, with the potential to enhance the quality of life of the patient significantly.
Improved Variational Bayes for Space-Time Adaptive Processing
Authors: Li Kun , Luo Jinyang , Li Peng , Liao Guisheng , Huang Zhixiang , Yang Lixia
Published: February 2025

To tackle the challenge of enhancing moving target detection performance in environments characterized by small sample sizes and non-uniformity, methods rooted in sparse signal reconstruction have been incorporated into Space-Time Adaptive Processing (STAP) algorithms. Given the prominent sparse nature of clutter spectra in the angle-Doppler domain, adopting sparse recovery algorithms has proven to be a feasible approach for accurately estimating high-resolution spatio-temporal two-dimensional clutter spectra. Sparse Bayesian Learning (SBL) is a pivotal tool in sparse signal reconstruction and has been previously utilized, yet it has demonstrated limited success in enhancing sparsity, resulting in insufficient robustness in local fitting. To significantly improve sparsity, this paper introduces a hierarchical Bayesian prior framework and derives iterative parameter update formulas through variational inference techniques. However, this algorithm encounters significant computational hurdles during the parameter update process. To overcome this obstacle, the paper proposes an enhanced Variational Bayesian Inference (VBI) method that leverages prior information on the rank of the temporal clutter covariance matrix to refine the parameter update formulas, thereby significantly reducing computational complexity. Furthermore, this method fully exploits the joint sparsity of the Multiple Measurement Vector (MMV) model to achieve greater sparsity without compromising accuracy, and employs a first-order Taylor expansion to eliminate grid mismatch in the dictionary. The research presented in this paper enhances the moving target detection capabilities of STAP algorithms in complex environments and provides new perspectives and methodologies for the application of sparse signal reconstruction in related fields.
Computational Fluid Dynamics Simulation and Reaction Network Modelling for the Hydrothermal Liquefaction of Shorea Wood Sawdust
Authors: Elhassan Mohamed , Kooh Muhammad Raziq Rahimi , Chou Chau Yuan-Fong , Abdullah Rosnah
Published: February 2025

This study investigates the hydrothermal liquefaction (HTL) aqueous phase (AP) of Shorea sawdust in a semi-flow batch reactor, focusing on the reaction network and computational fluid dynamics (CFD) simulation. High-performance liquid chromatography (HPLC) was used to detect lignocellulosic decomposition compounds, revealing the presence of glucose, galactose, xylose, furfural, ethanol, and other undefined compounds due to lignocellulosic decomposition. Reaction ordinate (R0) indicates that the reaction progresses steadily as time increases, and higher temperature leads to a greater reaction ordinate, agreeing with Arrhenius’ assumption that gained energy enables molecules to overcome the activation energy barrier. However, saccharide C6 and C5 yield at 220 °C fluctuates as the reaction increases, suggesting secondary reactions. A kinetic model was built based on a reaction network, which was developed based on HPLC results. Arrhenius parameters revealed that reaction yield is influenced by temperature and time, whereas galactose, xylose, and ethanol production are time dependent. In contrast, glucose formation is influenced by both time and temperature. The prediction of saccharide yields by the model confirmed that 220 °C is the optimal temperature for glucose and ethanol production, balancing slow reactions and rapid degradation. CFD simulations show a uniform pressure distribution inside the reaction chamber with high localised pressure at the input (1570 Pa). In addition, feedstock particles tend to distribute along the chamber wall because of the laminar flow, which is consistent with the observation of the experiment. The findings highlight the intricate relationship between reaction conditions and the composition of the HTL product, contributing to a more comprehensive understanding of the process.
Fault Detection and Protection Strategy for Multi-Terminal HVDC Grids Using Wavelet Analysis
Authors: Kaur Jashandeep , Jayasooriya Manilka , Iqbal Muhammad Naveed , Daniel Kamran , Shabbir Noman , Peterson Kristjan
Published: February 2025

The growing demand for electricity, integration of renewable energy sources, and recent advances in power electronics have driven the development of HVDC systems. Multi-terminal HVDC (MTDC) grids, enabled by Voltage Source Converters (VSCs), provide increased operational flexibility, including the ability to reverse power flow and independently control both active and reactive power. However, fault propagation in DC grids occurs more rapidly, potentially leading to significant damage within milliseconds. Unlike AC systems, HVDC systems lack natural zero-crossing points, making fault isolation more complex. This paper presents the implementation of a wavelet-based protection algorithm to detect faults in a four-terminal VSC-HVDC grid, modelled in MATLAB and SIMULINK. The study considers several fault scenarios, including two internal DC pole-to-ground faults, an external DC fault in the load branch, and an external AC fault outside the protected area. The discrete wavelet transform, using Symlet decomposition, is applied to classify faults based on the wavelet entropy and sharp voltage and current signal variations. The algorithm processes the decomposition coefficients to differentiate between internal and external faults, triggering appropriate relay actions. Key factors influencing the algorithm’s performance include system complexity, fault location, and threshold settings. The suggested algorithm’s reliability and suitability are demonstrated by the real-time implementation. The results confirmed the precise fault detection, with fault currents aligning with the values in offline models. The internal faults exhibit more entropy than external faults. Results demonstrate the algorithm’s effectiveness in detecting faults rapidly and accurately. These outcomes confirm the algorithm’s suitability for a real-time environment.
Antimicrobial Sponge: A Polyvinyl Alcohol, Tannic Acid and Curcumin-Loaded Nanolignin Hydrogel Composite Scaffold
Authors: Anand Resmi , Collard Delphine , Thomann Jean-Sébastien , Duday David
Published: February 2025

Materials with antimicrobial properties and high adsorption capabilities are crucial for managing exudate in post-surgical cases. However, achieving both properties simultaneously remains a challenge. In this study, we first synthesized curcumin-loaded organosolv lignin nanoparticles (Lig-Cur Nps) using a solvent-shifting approach in a continuous flow reactor. These Lig-Cur NPs were then dispersed in a polyvinyl alcohol (PVA) solution. The PVA-Lig-Cur NP colloidal suspension was further crosslinked with tannic acid (TA) through hydrogen bonding interactions. A simple freeze–thaw cycle of the PVA-Lig-Cur NP suspension with TA resulted in the formation of a stable gel, which was then lyophilized to fabricate the PVA-Lig-Cur-TA hydrogel scaffold. This scaffold features an interconnected microporous network with a swelling percentage of 800%, enabling the rapid adsorption of exudates. Its excellent properties and antimicrobial efficacy against Staphylococcus aureus, a bacterium commonly found on the skin, and Pseudomonas aeruginosa highlight its potential to effectively remove exudates while preventing bacterial colonization.
Feelings of Patients Admitted to the Emergency Department
Authors: Pilet Claire , Tandzi-Tonleu Florentine , Lagarde Emmanuel , Gil-Jardiné Cédric , Galinski Michel , Lafont Sylviane
Published: February 2025

Background/Objectives: Very few studies describe the various feelings experienced in the emergency department (ED). Our study describes the pain, stress, and negative and positive emotions experienced by patients admitted to the ED in relation to age, gender, and reason for ED admission. Methods: Patients admitted to the ED of seven French hospitals were surveyed as part of the randomised multicentre study SOFTER IV (n = 2846). They reported the intensity of their pain on a numerical rating scale of 0 to 10, the intensity of their stress on an equivalent scale, and their emotions on a five-point rating scale using an adapted version of the Geneva Emotion Wheel proposed by Scherer, based on eight core emotions: fear, anger, regret, sadness, relief, interest, joy, and satisfaction. Results: Patients reported an average pain rating of 4.5 (SD = 3.0) and an average stress rating of 3.4 (SD = 3.1). Forty-six percent reported at least one strong negative emotion, and the two most frequently reported were fear and sadness. Forty-seven percent of patients described feeling at least one strong positive emotion, and the two most frequently reported were interest and relief. Pain was significantly higher among female patients under 60 admitted for injury. Stress was significantly higher among female patients under 60 admitted for illness. Emotions of negative valency were significantly higher among women admitted for injury. Emotions of positive valency were significantly higher among men over 60 admitted for illness. Conclusions: Experiences of pain, stress, and emotions have a strong presence in the ED. The reporting of these feelings varies depending on age, gender, and reason for ED admission.
Urban Spillover, Health Disparities, and Community Strengths in Small Towns in Central Texas
Authors: Huang Ya-Ching , Zapien Valerie , Chen Yanyan , Le Sara , Cumberbatch Ashton , Valdez Carmen
Published: February 2025

Background: Small-town residents face healthcare inequities that result in poorer outcomes compared to those living in urban areas. These disparities are deeply rooted in socioeconomic and demographic factors as well as in access to healthcare services. This study aimed to explore health disparities and community strengths within small towns in Williamson County, Central Texas, intensified by urban spillover. Methods: A qualitative study was designed using the Social Determinants of Health Model as the conceptual framework. We conducted eight in-depth interviews with local stakeholders. Each interview lasted 60–90 min and was audio-recorded, transcribed verbatim, and subjected to thematic analysis by trained researchers. Results: The participants reported that significant population growth, via individuals drawn from the rapidly expanding cities in proximity to their small towns, dramatically impacts lives. Eight main themes emerged: (1) low levels of community and professional health literacy and a lack of healthcare navigation support in schools and community-based support systems; (2) limited funding for healthcare services and limited capacity to support access to them; (3) limited access to food that can support healthy dietary patterns; (4) inadequate transportation services; (5) substance use, violence, and crime; (6) stressful community dynamics and an environment that negatively influences individual and community well-being; (7) financial instability and unreliable and insufficient infrastructure; and (8) community strengths and potential resources. Conclusions: Our findings reveal critical healthcare disparities in these small towns. Harnessing funding support and community unity is vital for developing equitable healthcare solutions and improving the well-being of residents in these rapidly evolving locales.
The Cost of Downstream Adverse Outcomes Associated with Allogeneic Blood Transfusion: A Retrospective Observational Cohort Study
Authors: Roets Michelle , Sturgess David John , Wyssusek Kerstin Hildegard , Lee Sung Min , Dean Melinda Margaret , van Zundert Andre
Published: February 2025

Background: ‘Downstream’ adverse outcomes associated with transfusion-related immune modulation (TRIM) occur postoperatively. The potential associations between these outcomes (and costs) and perioperative transfusion are often not considered by clinicians and therefore underestimated. When considering TRIM, many advantages of intraoperative cell salvage (ICS) were previously confirmed. Methods: The main aim of this retrospective observational study was to evaluate the cost implications associated with perioperative adverse outcomes following allogeneic blood transfusion (ABT). Secondly, further analysis considered downstream costs following ICS. This manuscript does not aim to provide evidence of improved outcomes following ICS compared to ABT. These outcomes were previously demonstrated. Instead, it is important to consider downstream cost implications if patients receive ABT, despite previously proven benefits related to ICS. Surgical patients (n = 2129) receiving blood transfusion at the Royal Brisbane and Women’s Hospital (Queensland, Australia) (2016–2018) were included: receiving ICS only (n = 115), allogeneic red blood cells (RBCs) only (n = 1944), or RBCs and ICS (n = 70). Data retrieved from eight hospital databases were exported, and a novel Structured Query Language (SQL) database was developed to link data points. Adverse outcomes previously associated with TRIM were assessed using International Classification of Diseases-10 (ICD-10) coded data. Generalised linear models were used to model costs and adjust for confounding factors. Results: Most adverse outcomes (≥3) occurred following RBCs and ICS (37.1%), followed by RBCs (23.7%) and ICS (16.5%). As potentially important determinants of overall expenditure, the lowest marginal mean intensive care stay (days, cost) was after ICS (2.1 days, AUD 10,027), followed by RBCs and ICS (3.8 days, AUD 18,089), and then RBCs (5.5 days, AUD 26,071). When considering blood products (other than packed red blood cells), the average cost per patient was lowest for ICS (AUD 48), followed by RBCs (AUD 533) and RBCs and ICS (AUD 819). Conclusions: We confirmed that the cost associated with allogeneic blood transfusion was significant; patients receiving packed red blood cells (pRBCs) experienced more adverse outcomes and higher hospital costs than those receiving ICS. These results are limited to retrospective data and require further prospective validation.
Defining XR-Specific Teacher Competencies: Extending the DigCompEdu Framework for Immersive Education
Authors: Rutten Nico , Brouwer-Truijen Karin
Published: February 2025

Extended Reality (XR) technologies—including virtual reality (VR), augmented reality (AR), and mixed reality (MR)—offer transformative opportunities for education by enabling immersive and interactive learning experiences. In this study, we employed a mixed-methods approach that combined systematic desk research with an expert member check to evaluate existing pedagogical frameworks for XR integration. We analyzed several established models (e.g., TPACK, TIM, SAMR, CAMIL, and DigCompEdu) to assess their strengths and limitations in addressing the unique competencies required for XR-supported teaching. Our results indicate that, while these models offer valuable insights into technology integration, they often fall short in specifying XR-specific competencies. Consequently, we extended the DigCompEdu framework by identifying and refining concrete building blocks for teacher professionalization in XR. The conclusions drawn from this research underscore the necessity for targeted professional development that equips educators with the practical skills needed to effectively implement XR in diverse educational settings, thereby providing actionable strategies for fostering digital innovation in teaching and learning.
Evaluating the Effectiveness of Soil Profile Rehabilitation for Pluvial Flood Mitigation Through Two-Dimensional Hydrodynamic Modeling
Authors: Atayi Julia , Zhou Xin , Iliadis Christos , Glenis Vassilis , Kang Donghee , Sheng Zhuping , Quansah Joseph , Hunter James G.
Published: February 2025

Pluvial flooding, driven by increasingly impervious surfaces and intense storm events, presents a growing challenge for urban areas worldwide. In Baltimore City, MD, USA, climate change, rapid urbanization, and aging stormwater infrastructure are exacerbating flooding impacts, resulting in significant socio-economic consequences. This study evaluated the effectiveness of a soil profile rehabilitation scenario using a 2D hydrodynamic modeling approach for the Tiffany Run watershed, Baltimore City. This study utilized different extreme storm events, a high-resolution (1 m) LiDAR Digital Terrain Model (DTM), building footprints, and hydrological soil data. These datasets were integrated into a fully coupled 2D hydrodynamic model, the City Catchment Analysis Tool (CityCAT), to simulate urban flood dynamics. The pre-soil rehabilitation simulation revealed a maximum water depth of 3.00 m in most areas, with hydrologic soil groups C and D, especially downstream of the study area. The post-soil rehabilitation simulation was targeted at vacant lots and public parcels, accounting for 33.20% of the total area of the watershed. This resulted in a reduced water depth of 2.50 m. Additionally, the baseline runoff coefficient of 0.49 decreased to 0.47 following the rehabilitation, and the model consistently recorded a peak runoff reduction rate of 4.10 across varying rainfall intensities. The validation using a contingency matrix demonstrated true-positive rates of 0.75, 0.50, 0.64, and 0 for the selected events, confirming the model’s capability at capturing real-world flood occurrences.
Correction: Du et al. Extraction Condition Optimization, Quantitative Analysis, and Anti-AD Bioactivity Evaluation of Acorn Polyphenols from Quercus variabilis, Quercus aliena, and Quercus dentata. Int. J. Mol. Sci. 2024, 25, 10536
Authors: Du Jianing , Han Zhengkun , Ran Longyi , Zhang Taiyu , Li Junru , Li Huiying
Published: February 2025

In the original publication [...]