bluuebunny/crossref_metadata_2025 huggingface dataset:
LoRA Fusion: Enhancing Image Generation
Authors: Choi Dooho , Im Jeonghyeon , Sung Yunsick
Published: November 2024

Recent advancements in low-rank adaptation (LoRA) have shown its effectiveness in fine-tuning diffusion models for generating images tailored to new downstream tasks. Research on integrating multiple LoRA modules to accommodate new tasks has also gained traction. One emerging approach constructs several LoRA modules, but more than three typically decrease the generation performance of pre-trained models. The mixture-of-experts model solves the performance issue, but LoRA modules are not combined using text prompts; hence, generating images by combining LoRA modules does not dynamically reflect the user’s desired requirements. This paper proposes a LoRA fusion method that applies an attention mechanism to effectively capture the user’s text-prompting intent. This method computes the cosine similarity between predefined keys and queries and uses the weighted sum of the corresponding values to generate task-specific LoRA modules without the need for retraining. This method ensures stability when merging multiple LoRA modules and performs comparably to fully retrained LoRA models. The technique offers a more efficient and scalable solution for domain adaptation in large language models, effectively maintaining stability and performance as it adapts to new tasks. In the experiments, the proposed method outperformed existing methods in text–image alignment and image similarity. Specifically, the proposed method achieved a text–image alignment score of 0.744, surpassing an SVDiff score of 0.724, and a normalized linear arithmetic composition score of 0.698. Moreover, the proposed method generates superior semantically accurate and visually coherent images.
A Note on APN Permutations and Their Derivatives
Authors: Musukwa Augustine
Published: November 2024

Prior to the discovery of an APN permutation in six dimension it was conjectured that such functions do not exist in even dimension, as none had been found at that time. However, finding APN permutations in even dimension ≥8 remains a significant challenge. Understanding and determining more properties of these functions is a crucial approach to discovering them. In this note, we study the properties of vectorial Boolean functions based on the weights of the first-order and second-order derivatives of their components. We show that a function is an APN permutation if and only if the sum of the squares of the weights of the first-order derivatives of its components is exactly 22n−1(2n−1+1)(2n−1). Additionally, we determined that the sum of the weights of the second-order derivatives of the components of any vectorial Boolean function is at most 22n−1(2n−1)(2n−2). This bound is achieved if and only if a function is APN.
Some Results on Multivalued Proximal Contractions with Application to Integral Equation
Authors: Zahid Muhammad , Din Fahim Ud , Younis Mudasir , Ahmad Haroon , Öztürk Mahpeyker
Published: November 2024

In this manuscript, for the purpose of investigating the coincidence best proximity point, best proximity point, and fixed point results via alternating distance ϕ, we discuss some multivalued (ϕ−Fτ)CP and (ϕ−Fτ)BP−proximal contractions in the context of rectangular metric spaces. To ascertain the coincidence best proximity point, best proximity point, and the fixed point for single-valued mappings, we reduce these findings using (Fτ)CP and (Fτ)BP−proximal contractions. To make our work more understandable, examples of both single- and multivalued mappings are provided. These examples support our core findings, which rely on coincidence points, as well as the corollaries that address fixed point conclusions. In the final phase of our study, we use the obtained results to verify that a solution to a Fredholm integral equation exists. This application highlights the theoretical framework we built throughout our study.
Relationship Between Tooth Loss Due to Chronic Periodontitis and Lower Urinary Tract Symptoms
Authors: Matsuo Tomohiro , Kakita Shota , Honda Hiroyuki , Mori Shintaro , Araki Kyohei , Mitsunari Kensuke , Ohba Kojiro , Mochizuki Yasushi , Imamura Ryoichi
Published: November 2024

Background and Objectives: This study aimed to investigate the relationship between lower urinary tract symptoms (LUTS) and tooth loss due to chronic periodontitis. Materials and Methods: A total of 232 patients aged 40 years or older with LUTS were evaluated. The number of remaining teeth and the severity of LUTS were assessed using the overactive bladder symptom score, international prostate symptom score, and urodynamic tests. Statistical analyses, including multivariate and propensity score matching, were conducted to determine the relationship between tooth loss and overactive bladder (OAB). Results: Compared with the non-OAB group, the OAB group had significantly fewer remaining teeth (p < 0.001). A negative correlation was observed between the number of remaining teeth and the severity of LUTS, with symptoms such as urgency, frequency, and nocturia being more severe in patients with fewer teeth (all p < 0.001). Objective measures, including bladder capacity and maximum flow rate, were also significantly lower in patients with fewer teeth. Additionally, having fewer than 21 teeth was identified as a significant risk factor for LUTS. Multivariate analysis confirmed that tooth loss was an independent risk factor for OAB, even after adjusting for age and comorbidities (p < 0.001). Propensity score matching further validated the association between the number of remaining teeth and OAB (p = 0.022), highlighting a clear connection between dental health and urinary function. Conclusions: Tooth loss due to chronic periodontitis is strongly associated with the severity of LUTS, including storage and voiding symptoms. Maintaining good oral health may help reduce the risk of OAB and related urinary symptoms. This study underscores the importance of dental care in managing and preventing LUTS, suggesting that improving oral health could play a key role in mitigating these conditions.
Characterization of Dark Septate Endophytes Under Drought and Rehydration and Their Compensatory Mechanisms in Astragalus membranaceus
Authors: Xie Yali , He Xueli , Wang Duo , Wang Menghui , Li Wanyun , Chen Wenjing , Li Xianen , He Chao
Published: November 2024

Drought is the most significant abiotic stress that impedes agroforestry development. In nature, drought tolerance also depends on the ability to compensate after water restoration. Dark septate endophytes (DSEs) are believed to enhance plant tolerance in drought environments. However, the compensatory mechanisms of DSEs for rehydration after drought stress have not been reported. To assess the drought tolerance and compensatory capacity of DSEs, the following DSEs were investigated in this study using solid–liquid screening and potting tests under different drought gradients, rehydration conditions, and field water-holding capacities: Stagonosporopsis lupini, Microsphaeropsis cytisi, Macrophomina pseudophaseolina, Paraphoma radicina, Alternaria alstroemeriae, Alternaria tellustris, and Papulaspora equi. The results showed that M. pseudophaseolina reached the maximum diameter for plate growth in only 4 d. In a liquid shaker, the biomass of S. lupini peaked after rehydration. The Mantel heatmap indicated that lipid metabolites were significantly expressed in M. pseudophaseolina and S. lupini under drought stress. Correlations between drought tolerance indexes and amino acid metabolites increased dramatically in both DSEs after rehydration. Moreover, in rehydration after drought, the treatments inoculated with M. pseudophaseolina and S. lupini showed significant increases in root weight of 20.36% and 23.82%, respectively, compared with the uninoculated treatment.
Narrative Review: Advancing Dysbiosis Treatment in Onco-Hematology with Microbiome-Based Therapeutic Approach
Authors: Biennier Salomé , Fontaine Mathieu , Duquenoy Aurore , Schwintner Carole , Doré Joël , Corvaia Nathalie
Published: November 2024

This review explores the complex relationship between gut dysbiosis and hematological malignancies, focusing on graft-versus-host disease (GvHD) in allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipients. We discuss how alterations in microbial diversity and composition can influence disease development, progression, and treatment outcomes in blood cancers. The mechanisms by which the gut microbiota impacts these conditions are examined, including modulation of immune responses, production of metabolites, and effects on intestinal barrier function. Recent advances in microbiome-based therapies for treating and preventing GvHD are highlighted, with emphasis on full ecosystem standardized donor-derived products. Overall, this review underscores the growing importance of microbiome research in hematology–oncology and its potential to complement existing treatments and improve outcomes for thousands of patients worldwide.
Modeling the Production of Nanoparticles via Detonation—Application to Alumina Production from ANFO Aluminized Emulsions
Authors: Santos Pedro M. S. , Duarte Belmiro P. M. , Oliveira Nuno M. C. , Mendes Ricardo A. L. , Campos José L. S. A. , Silva João M. C.
Published: November 2024

This paper investigates the production of nanoparticles via detonation. To extract valuable knowledge regarding this route, a phenomenological model of the process is developed and simulated. This framework integrates the mathematical description of the detonation with a model representing the particulate phenomena. The detonation process is simulated using a combination of a thermochemical code to determine the Chapman–Jouguet (C-J) conditions, coupled with an approximate spatially homogeneous model that describes the radial expansion of the detonation matrix. The conditions at the C-J point serve as initial conditions for the detonation dynamic model. The Mie–Grüneisen Equation of State (EoS) is used, with the “cold curve” represented by the Jones–Wilkins–Lee Equation of State. The particulate phenomena, representing the formation of metallic oxide nanoparticles from liquid droplets, are described by a Population Balance Equation (PBE) that accounts for the coalescence and coagulation mechanisms. The variables associated with detonation dynamics interact with the kernels of both phenomena. The numerical approach employed to handle the PBE relies on spatial discretization based on a fixed-pivot scheme. The dynamic solution of the models representing both processes is evolved with time using a Differential-Algebraic Equation (DAE) implicit solver. The strategy is applied to simulate the production of alumina nanoparticles from Ammonium Nitrate Fuel Oil aluminized emulsions. The results show good agreement with the literature and experience-based knowledge, demonstrating the tool’s potential in advancing understanding of the detonation route.
Perilla Seed Oil and Protein: Composition, Health Benefits, and Potential Applications in Functional Foods
Authors: Guan Lijun , Zhu Ling , Zhang Xindi , Han Yaxi , Wang Kunlun , Ji Nina , Yao Xinmiao , Zhou Ye , Li Bo , Chen Qing , Fan Jing , Sha Dixin , Lu Shuwen
Published: November 2024

Perilla (Perilla frutescens) seeds are emerging as a valuable resource for functional foods and medicines owing to their rich oil and protein content with diverse nutritional and health benefits. Perilla seed oil (PSO) possesses a high level of a-linolenic acid (ALA), a favorable ratio of unsaturated to saturated fatty acids, and other active ingredients such as tocopherols and phytosterols, which contribute to its antioxidant, anti-inflammatory, and cardiovascular protective effects. The balanced amino acid ratio and good functional properties of perilla seed protein make it suitable for a variety of food applications. The chemical composition, health benefits, and potential applications of PSO as well as the structural characterization, functional properties, modification methods, bioactivities, and application scenarios of perilla seed protein are comprehensively presented in this paper. Furthermore, the challenges as well as future prospects and research focus of PSO and perilla seed protein are discussed. The growing interest in plant-based diets and functional foods has made PSO and perilla seed protein promising ingredients for the development of novel foods and health products. The purpose of this paper is to highlight implications for future research and development utilizing these two untapped resources to improve human health and nutrition.
Recent Advances in Sequentially Pd-Catalyzed One-Pot Syntheses of Heterocycles
Authors: Kornet Maryna M. , Müller Thomas J. J.
Published: November 2024

Sequential Pd-catalyzed one-pot synthetic methodologies have emerged as a powerful and versatile approach in organic synthesis, enabling the construction of complex heterocyclic architectures with high efficiency, selectivity, and atom economy. This review discusses key advancements in multistep, sequentially Pd-catalyzed one-pot processes for accessing heterocyclic derivatives, focusing on classic reactions like Suzuki–Miyaura, Sonogashira, Heck, and hydroamination and extending to specialized techniques such as directed C-H activation. The concatenation of these steps has advanced the scope of one-pot strategies. A section is dedicated to exploring the cooperative use of palladium with other metals, particularly copper, ruthenium, and gold, which has broadened the range of accessible heterocyclic derivatives. Highlighted applications include the synthesis of biologically and pharmaceutically relevant compounds, such as tris(hetero)aryl systems, spiro-oxindoles, and indole derivatives. These one-pot strategies not only streamline synthesis but also align with green chemistry principles by minimizing purification steps and reducing waste and energy consumption. The review also addresses current challenges and limitations in these methodologies, offering insights into ongoing efforts to optimize reaction conditions and expand the applicability of sequential Pd-catalyzed processes.
Nine New Glycosylated Compounds from the Leaves of the Medicinal Plant Malus hupehensis
Authors: Yuan Lin-Lin , Wang Yi , Wang Guo-Kai , Liu Ji-Kai
Published: November 2024

Nine new compounds (1–9), including four dihydrochalcone glycosides, two dibenzofuran glycosides, and two biphenyl glycosides, were isolated from the leaves of the medicinal plant Malus hupehensis collected in Shennongjia Forestry District (Hubei, China). Their structures were elucidated by comprehensive spectroscopic techniques, including HRESIMS and NMR spectra. All compounds were tested by preliminary biological evaluation for their α-glucosidase inhibitory and NO production activities. Compound 4 was found to show significant inhibitory activity against NO production in LPS-activated RAW 264.7 macrophage cells with an IC50 value of 29.60 μM, and compounds 3 and 4 were found to exhibit potent α-glucosidase inhibition with IC50 values of 44.17 and 60.15 μM, respectively. This work represents the first report of the diverse glycosides from the plant Malus hupehensis. It expands our understanding of the secondary metabolites of this medicinal plant and lays the foundation for the study of the bioactive principles of the ethnic hypoglycemic medicinal plant.
Interactions Between Nanoparticles and Tomato Plants: Influencing Host Physiology and the Tomato Leafminer’s Molecular Response
Authors: Haq Inzamam Ul , Cai Xiangyun , Ali Habib , Akhtar Muhammad Rehan , Ghafar Muhammad Adeel , Hyder Moazam , Hou Youming
Published: November 2024

Tomatoes are a crucial global crop, impacting economies and livelihoods worldwide. However, pests like the tomato leafminer (Tuta absoluta) significantly reduce their yield potential. Nanoparticles come as a solution to this context, promising innovative strategies for the protection of plants from pest infestation and management. Nanoparticles have shown great potential to improve tomato plant resistance against pests and diseases because of their unique properties. They enhance plant physiological processes like photosynthesis and nutrient uptake while activating defense-related molecular pathways. Nanoparticles also directly impact the life cycle and behavioral patterns of pests such as the tomato leafminer, reducing their destructive nature. The dual benefits of nanoparticles for enhancing plants’ health and managing pests effectively provide a two-way innovative approach in agriculture. Gains made with such technology not only include increasing crop productivity and reducing crop losses but also reducing the heavy dependence on chemical pesticides, many of which have been attributed to environmental hazards. The current study illustrates the broader implications of nanoparticle use in agriculture, which is a sustainable pathway to increase crop resilience and productivity while reducing the impact of pests. Such novel approaches underline the need for continued interdisciplinary research to exploit the potential of nanotechnology in sustainable agricultural practices fully.
Vitamin D Deficiency: Insights and Perspectives from a Five-Year Retrospective Analysis of Children from Northeastern Romania
Authors: Ghiga Gabriela , Țarcă Elena , Țarcă Viorel , Spoială Elena Lia , Păduraru Gabriela , Gimiga Nicoleta , Boca Laura Otilia , Iftinchi Otilia , Donos Mădălina Andreea , Manole Lorena Mihaela , Trandafir Laura Mihaela
Published: November 2024

Background: Vitamin D plays an important role in maintaining bone health with numerous benefits for extraskeletal health as well. Objectives: We aimed to assess the prevalence of vitamin D deficiency in children (0–18 years old) in a tertiary hospital in Romania between August 2019 and January 2024 and to investigate the role of adequate supplementation in this vulnerable population. Methods: The serum 25(OH)D levels were measured using a chemiluminescence binding assay. Results: A total of 744 participants were included in this study: 396 female (53.23%) and 348 male (46.77%). The serum levels of 25(OH)D ranged between 2.2 and 125.4 ng/mL, with a mean value of 27.4 ng/mL and a median value of 23.5 ng/mL. According to the cutoff values for the definition of vitamin D status (severe deficiency: <10 ng/mL, deficiency: <20 ng/mL, insufficiency: 20–29 ng/mL, and sufficiency: ≥30 ng/mL), the sample consisted of 77 (10.34%) cases of severe deficiency, 221 (29.7%) cases of deficiency, 194 (26.07%) cases of insufficiency, and 245 (32.93%) cases of sufficiency. There were seven cases of hypervitaminosis D with values above 100 ng/mL. The mean values (and corresponding 95% confidence intervals, CIs) were as follows: 27.85 ng/mL [25.95–29.76] in the males, 22.45 ng/mL [25.12–28.82] in the females, 24.82 ng/mL [21.86–27.77] in the spring, 28.62 ng/mL [26.42–30.81] in the summer, 32.30 ng/mL [29.16–35.44] in the autumn, and 24.01 ng/mL [21.57–26.44] in the winter. We observed a notable decline in the serum 25(OH)D levels with age, with 82.08% of the children in the age group above 6 years old having serum 25(OH)D levels below 30 ng/mL. In obese subjects, a higher prevalence of hypovitaminosis D was observed compared to non-obese subjects, with a mean value of 19.54 [17.50–21.57] ng/mL in obese children versus 28.89 [27.39–30.40] ng/mL in normal weight children. Conclusions: In our sample, the mean serum concentration of 25(OH)D was 27.4 ng/mL. Notably, 66.11% of the cases demonstrated varying degrees of hypovitaminosis D, with a significantly higher prevalence of 86.16% observed in the obese group. Healthcare providers should prioritize routine screening for vitamin D levels in pediatric patients with obesity to facilitate timely intervention and personalized supplementation strategies tailored to individual needs
Validity and Reproducibility of a Spanish EPIC Food Frequency Questionnaire in Children and Adolescents
Authors: Larroya Ana , Tamayo María , Cenit María Carmen , Sanz Yolanda
Published: November 2024

Background: Dietary habits are crucial for preventing many diseases, particularly in children and adolescents. Accurate assessment of dietary intake is essential for understanding the relationship between diet and health in these age groups. Objective: This study aimed to evaluate the reproducibility and validity of a Spanish version of the European Prospective Investigation into Cancer and Nutrition (EPIC) Food Frequency Questionnaire (FFQ) in 150 Spanish children and adolescents aged 10 to 17 using the average of 9 days of 24-h dietary recall (24H-DR) as a reference. Methods: Intraclass correlation coefficients (ICCs) were calculated to asses reproducibility and Spearman/Pearson correlation coefficients were calculated to assess validity and reproducibility. Results: The average ICCs were 0.41 for crude nutrients, 0.31 for food groups, 0.31 for energy-adjusted nutrients, and 0.4 for energy-adjusted food groups. Spearman/Pearson correlation coefficients averaged 0.39 and 0.41 for crude and energy-adjusted nutrients, respectively, and 0.51 and 0.47 for corresponding food groups. Regarding validity, the average correlation coefficient for crude, energy-adjusted, and de-attenuated nutrients was 0.32, 0.50, and 0.50, respectively. The highest crude coefficient was 0.50 for vitamin C and fiber, while the highest energy-adjusted coefficient was 0.76 for protein and carbohydrates. The highest de-attenuated coefficient was 0.72 for vitamin B6. Conclusions: Overall, these results suggest that the EPIC FFQ is a valid and reliable instrument for assessing dietary intake in Spanish children and adolescents.
Lactobacillus plantarum and Bifidobacterium longum Alleviate High-Fat Diet-Induced Obesity and Depression/Cognitive Impairment-like Behavior in Mice by Upregulating AMPK Activation and Downregulating Adipogenesis and Gut Dysbiosis
Authors: Yun Soo-Won , Shin Yoon-Jung , Ma Xiaoyang , Kim Dong-Hyun
Published: November 2024

Background/Objective: Long-term intake of a high-fat diet (HFD) leads to obesity and gut dysbiosis. AMP-activated protein kinase (AMPK) is a key regulator of energy metabolism. Herein, we investigated the impacts of Lactobacillus (Lactiplantibacillus) plantarum P111 and Bifidobacterium longum P121, which suppressed dexamethasone-induced adipogenesis in 3T3 L1 cells and increased lipopolysaccharide-suppressed AMPK activation in HepG2 cells, on HFD-induced obesity, liver steatosis, gut inflammation and dysbiosis, and depression/cognitive impairment (DCi)-like behavior in mice. Methods: Obesity is induced in mice by feeding with HFD. Biomarker levels were measured using immunoblotting, enzyme-linked immunosorbent assay, and immunofluorescence staining. Results: Orally administered P111, P121, or their mix LpBl decreased HFD-induced body weight gain, epididymal fat pad weight, and triglyceride (TG), total cholesterol (TC), and lipopolysaccharide levels in the blood. Additionally, they downregulated HFD-increased NF-κB activation and TNF-α expression in the liver and colon, while HFD-decreased AMPK activation was upregulated. They also suppressed HFD-induced DCi-like behavior and hippocampal NF-κB activation, NF-κB-positive cell population, and IL-1β and TNF-α levels, while increasing the hippocampal BDNF-positive cell population and BDNF level. The combination of P111 and P122 (LpBl) also improved body weight gain, liver steatosis, and DCi-like behavior. LpBl also mitigated HFD-induced gut dysbiosis: it decreased Desulfovibrionaceae, Helicobacteriaceae, Coriobacteriaceae, and Streptococcaceae populations and lipopolysaccharide production, which were positively correlated with TNF-α expression; and increased Akkermansiaceae, Bifidobacteriaceae, and Prevotellaceae populations, which were positively correlated with the BDNF expression. Conclusions: P111 and/or P121 downregulated adipogenesis, gut dysbiosis, and NF-κB activation and upregulatde AMPK activation, leading to the alleviation of obesity, liver steatosis, and DCi.
Nutritional Intake in Venovenous ECMO Patients: A Single-Center Study in a North American PICU
Authors: Lintvedt Annika , Purosky Isabella , Kogelschatz Benjamin , Brackmann Megan , Heinze Erika , Parker Jessica , Dudick Brooke , Mcdiarmid Jamie , Rosner Elizabeth , Boville Brian , Leimanis-Laurens Mara L.
Published: November 2024

Background/Objectives: Multiple independent variables were analyzed to determine total nutritional intake (caloric and protein), while reviewing vasoactive inotrope scores (VISs). Methods: Retrospective data were collected for nutritional intake (N = 64), daily VISs, extracorporeal membrane oxygenation (ECMO) complications, delays in nutritional intake (>48 h), reason for delay, and interruptions in nutrition support. Results: VISs and ECMO characteristics analyzed by box–whisker plots demonstrated that ECMO complications prior to 24 h, cardiac arrest 24 h prior to ECMO, pediatric ECMO patients, venoarterial ECMO type, having a cardiac ECMO indication, and ECMO centrifugal pump had higher VISs. A regression analysis revealed that venovenous ECMO patients and the centrifugal pump type had higher caloric and protein intake; subsequently, for each increase in VIS, caloric intake decreased by −0.54. Sixteen patients did not receive nutritional support while on ECMO (9/16; 56% cardiac); 12/48 (25%) had a delay, with the cardiac patients nearing statistical significance. Conclusion: Venovenous ECMO (non-cardiac) correlated with higher nutritional intake. The enteral administration of nutrition had a lower VIS on average compared to the other three groupings, namely enteral vs. parenteral; enteral vs. both enteral and parenteral; enteral vs. no nutrition. This study provides additional clinical insight on nutritional intake in ECMO patients.
Supplementation with a Whey Protein Concentrate Enriched in Bovine Milk Exosomes Improves Longitudinal Growth and Supports Bone Health During Catch-Up Growth in Rats
Authors: García-Martínez Jorge , Salto Rafael , Girón María D. , Pérez-Castillo Íñigo M. , Bueno Vargas Pilar , Vílchez Jose D. , Linares-Pérez Azahara , Manzano Manuel , García-Córcoles María T. , Rueda Ricardo , López-Pedrosa José M.
Published: November 2024

Background: Undernutrition impairs linear growth while restoration of nutritional provisions leads to accelerated growth patterns. However, the composition of the nutrition provided is key to facilitating effective catch-up growth without compromising bone quantity, quality, and long-term health. Methods: We evaluated the role of a whey protein concentrate enriched in bovine milk exosomes (BMEs) in modulating the proliferative properties of human chondrocytes in vitro and studied how these effects might impact bone quantity and quality measured as longitudinal tibia growth, bone mineral content (BMC) and density (BMD), and trabecular micro-CT parameters in stunted rats during catch-up growth. Results: BMEs promoted proliferation in C28/I2 human chondrocytes mediated by mTOR-Akt signaling. In a stunting rat model, two-week supplementation with BMEs during refeeding was associated with improved tibia BMD, trabecular microstructure (trabecular number (Tb. N.) and space (Tb. Sp.)), and a more active growth plate (higher volume, surface, and thickness) compared to non-supplemented stunted rats. Positive effects on physis translated to significantly longer tibias without compromising bone quality when extending the refeeding period for another two weeks. Conclusions: Overall, BME supplementation positively contributed to longitudinal bone growth and improved bone quantity and quality during catch-up growth. These findings might be relevant for improving diets aimed at addressing the nutritional needs of children undergoing undernutrition during early life.
Translational Algorithms for Technological Dietary Quality Assessment Integrating Nutrimetabolic Data with Machine Learning Methods
Authors: de la O Víctor , Fernández-Cruz Edwin , Matía Matin Pilar , Larrad-Sainz Angélica , Espadas Gil José Luis , Barabash Ana , Fernández-Díaz Cristina M. , Calle-Pascual Alfonso L. , Rubio-Herrera Miguel A. , Martínez J. Alfredo
Published: November 2024

Recent advances in machine learning technologies and omics methodologies are revolutionizing dietary assessment by integrating phenotypical, clinical, and metabolic biomarkers, which are crucial for personalized precision nutrition. This investigation aims to evaluate the feasibility and efficacy of artificial intelligence tools, particularly machine learning (ML) methods, in analyzing these biomarkers to characterize food and nutrient intake and to predict dietary patterns. Methods: We analyzed data from 138 subjects from the European Dietary Deal project through comprehensive examinations, lifestyle questionnaires, and fasting blood samples. Clustering was based on 72 h dietary recall, considering sex, age, and BMI. Exploratory factor analysis (EFA) assigned nomenclature to clusters based on food consumption patterns and nutritional indices from food frequency questionnaires. Elastic net regression identified biomarkers linked to these patterns, helping construct algorithms. Results: Clustering and EFA identified two dietary patterns linked to biochemical markers, distinguishing pro-Mediterranean (pro-MP) and pro-Western (pro-WP) patterns. Analysis revealed differences between pro-MP and pro-WP clusters, such as vegetables, pulses, cereals, drinks, meats, dairy, fish, and sweets. Markers related to lipid metabolism, liver function, blood coagulation, and metabolic factors were pivotal in discriminating clusters. Three computational algorithms were created to predict the probabilities of being classified into the pro-WP pattern. The first is the main algorithm, followed by a supervised algorithm, which is a simplified version of the main model that focuses on clinically feasible biochemical parameters and practical scientific criteria, demonstrating good predictive capabilities (ROC curve = 0.91, precision–recall curve = 0.80). Lastly, a reduced biochemical-based algorithm is presented, derived from the supervised algorithm. Conclusions: This study highlights the potential of biochemical markers in predicting nutritional patterns and the development of algorithms for classifying dietary clusters, advancing dietary intake assessment technologies.
Evaluating the Diagnosis of Malnutrition Based on Global Leadership Initiative on Malnutrition (GLIM) Criteria in Community-Dwelling Older Adults (Singapore Longitudinal Aging Study)
Authors: Win Phoo Pyae Sone , Chua Denise Qian Ling , Gwee Xinyi , Wee Shiou Liang , Ng Tze Pin
Published: November 2024

Background: A minority of studies using the GLIM criteria for malnutrition diagnosis have performed formal empirical validation. Objectives: To evaluate the concurrent and predictive validity of GLIM criteria with and without prior screening among community-dwelling older adults in Singapore. Method: In the Singapore Longitudinal Aging Study (SLAS-2, n = 2477), malnutrition was diagnosed using single-step and two-step GLIM procedures using the Mini Nutritional Assessment Short Form (MNA-SF) and Elderly Nutritional Index for Geriatric Malnutrition Assessment (ENIGMA) for initial screening. Criterion validity was evaluated using MNA-Full Form (MNA-FF) as reference malnutrition diagnosis. Prognostic validity was evaluated using logistic and Cox regression analyses with respect to impaired quality of life (QoL) and 10-year mortality. Results: GLIM malnutrition with and without MNA-SF or ENIGMA screening showed significant associations with known clinical correlates; single-step GLIM malnutrition: sensitivity = 80%, specificity = 83%; two-step MNA-SF-GLIM malnutrition: sensitivity = 80%, specificity = 85%; two-step ENIGMA-GLIM malnutrition: sensitivity = 74%, specificity = 88%; positive predictive values of around 20% and negative predictive values above 98%. Cohen’s kappa values of agreement were uniformly low (0.26 to 0.32). All showed significant associations with about 50% increased odds of impaired QoL and 10-year mortality, adjusted for age, sex, ethnicity, education levels, and housing type, with the ENIGMA-GLIM malnutrition showing the highest risk estimates. Compared to MNA-FF malnutrition prevalence of 4.1%, GLIM-based malnutrition increased prevalence (14.6% to 19.7%) estimates. Conclusions: The GLIM criteria showed good construct and criterion validity. It increased the number of individuals diagnosed with malnutrition. The agreement between diagnoses of malnutrition was low. Diagnostic and prognostic accuracy vary with the screening instrument used. Early identification of malnutrition using appropriate tools can provide opportunities to delay or prevent the risk of important adverse outcomes such as impaired QoL and mortality.
Clinical Evaluation of Buccal Infiltration with Articaine for Endodontic Anesthesia in Mandibular Molars with Irreversible Pulpitis
Authors: Monteiro Maria Rachel , Mourão Carlos Fernando , Volpato Maria Cristina , Groppo Francisco Carlos , Haiter-Neto Francisco , Sacco Roberto , de Almeida José Flávio Affonso
Published: November 2024

Background and Objectives: This study investigates the efficacy of 4% articaine buccal infiltration in patients with mandibular molar irreversible pulpitis. The goal is to understand the anatomical factors contributing to articaine’s success in mandibular infiltrations. Materials and Methods: A randomized controlled trial was conducted with 50 patients diagnosed with symptomatic irreversible pulpitis in mandibular molars. Patients were divided into two groups: 4% articaine buccal infiltration (n = 30) and 2% lidocaine nerve block (n = 20). Pain was assessed using visual analog scales (VASs) before diagnosis, after thermal pulp sensitivity testing, and 5 and 10 min post-anesthetic application. Cone beam computed tomography (CBCT) was used to measure mandibular bone parameters. Results: The success rate for articaine buccal infiltration was 36.55%, with no significant difference between the efficacy in the first and second molars. CBCT measurements indicated no significant influence of buccal cortical bone thickness or distance from the mental foramen on anesthetic efficacy. However, articaine administration achieved anesthesia in some cases where lidocaine did not. Conclusions: Anatomical structures such as cortical bone thickness and distance from the mental foramen do not significantly influence the anesthetic efficacy of articaine in mandibular posterior infiltration for irreversible pulpitis treatment. These findings suggest that factors other than anatomical variations contribute to articaine’s superior performance in some clinical scenarios.
Phosphorus-and-Silver-Doped Crystalline Oxide Coatings for Titanium Implant Surfaces
Authors: Bruni Catherine L. , Johnson Haden A. , Ali Aya , Parekh Amisha , Marquart Mary E. , Janorkar Amol V. , Roach Michael D.
Published: November 2024

Bacteria-related infections remain a leading cause of dental implant failures. Despite the successful history of titanium implants, naturally forming oxides lack antibacterial properties. Crystalline oxides, modified through anodization processes, have shown photocatalytic-induced antibacterial properties when exposed to sufficient energy sources such as UVA light. Chemically doping these oxides with some metallic and non-metallic elements has been shown to enhance their photocatalytic activity (PCA). The present study’s objectives were to assess the relative UVA and violet-light-irradiated PCA levels, bacterial attachment levels, and pre-osteoblast early cell viability levels of phosphorus-doped and phosphorus-and-silver-doped anatase-phase oxides. Each oxide revealed similar surface topographies and surface porosity levels. However, the phosphorus-and-silver-doped oxides exhibited significantly higher PCA levels compared to the phosphorus-doped oxide counterpart after irradiation with 365 nm UVA (p < 0.0001) or 410 nm violet (p = 0.007 and 0.03) light. The phosphorus-doped oxides and phosphorus-and-silver-doped oxides revealed similar Staphylococcus aureus attachment levels after 60 min of UVA irradiation. The phosphorus-and-silver-doped oxides exhibited significantly increased 7-day cell viability compared to their phosphorus-doped oxide counterparts. Thus, it was concluded that the silver doping additions to the oxides show much promise for biomaterials applications and warrant further exploration.
Design and Characterization of Biomimetic Hybrid Construct Based on Hyaluronic Acid and Alginate Bioink for Regeneration of Articular Cartilage
Authors: Galocha-León Cristina , Antich Cristina , Clares-Naveros Beatriz , Voltes-Martínez Ana , Marchal Juan Antonio , Gálvez-Martín Patricia
Published: November 2024

Background/Objectives: Three-dimensional bioprinting technology has enabled great advances in the treatment of articular cartilage (AC) defects by the biofabrication of biomimetic constructs that restore and/or regenerate damaged tissue. In this sense, the selection of suitable cells and biomaterials to bioprint constructs that mimic the architecture, composition, and functionality of the natural extracellular matrix (ECM) of the native tissue is crucial. In the present study, a novel cartilage-like biomimetic hybrid construct (CBC) was developed by 3D bioprinting to facilitate and promote AC regeneration. Methods: The CBC was biofabricated by the co-bioprinting of a bioink based on hyaluronic acid (HA) and alginate (AL) loaded with human mesenchymal stromal cells (hMSCs), with polylactic acid supporting the biomaterial, in order to mimic the microenvironment and structural properties of native AC, respectively. The CBC was biologically in vitro characterized. In addition, its physiochemical characteristics were evaluated in order to determine if the presence of hMSCs modified its properties. Results: Results from biological analysis demonstrated that CBC supported the high viability and proliferation of hMSCs, facilitating chondrogenesis after 5 weeks in vitro. The evaluation of physicochemical properties in the CBCs confirmed that the CBC developed could be suitable for use in cartilage tissue engineering. Conclusions: The results demonstrated that the use of bioprinted CBCs based on hMSC-AL/HA-bioink for AC repair could enhance the regeneration and/or formation of hyaline cartilaginous tissue.
Corneal Treatment, Repair, and Regeneration: Exosomes at Rescue
Authors: Robbins Brooke T. , Montreuil Kate A. , Kundu Neloy , Kumar Prashant , Agrahari Vibhuti
Published: November 2024

Exosomes are extracellular vesicles within the nanosized range that play roles in intercellular communication and thus have certain biological activities. The secretory signaling communication mechanism is an efficient way of exchanging information between cells and has been investigated as nature’s therapeutic drug carriers. This review will summarize the potential of exosomes as therapeutic tools and drug delivery vehicles for corneal pathologies. The cornea is an avascular ocular tissue, and its healing is a complex process including cell death and migration, cell proliferation and differentiation, and extracellular matrix remodeling. Here, we discussed the structure, barrier, phases, and healing cascade of cornea. We briefly reviewed the immunogenicity and toxicity of exosomes and role of exosomes in preserving cornea. Additionally, we provided combining exosome strategies with hydrogels, gene and stem cells therapy focused on corneal treatment, repair, and regeneration.
Emerging Treatments and New Vehicle Formulations for Atopic Dermatitis
Authors: Ali Sibel , Ion Ana , Orzan Olguța Anca , Bălăceanu-Gurău Beatrice
Published: November 2024

Atopic dermatitis is one of the most common inflammatory skin diseases, with an increasing incidence among both children and adults. The recurrent nature, often with the persistence of symptoms, and the polymorphism of the response to current therapies have led to increased research in the therapeutic area dedicated to this condition. The understanding of pathophysiological pathways has contributed to the development of innovative therapies, including biological therapies, JAK inhibitors, but also emerging technologies like nanotechnology-based drug delivery systems. These innovations promise enhanced efficacy, reduced side effects, and improved patient outcomes. The ongoing exploration of novel vehicles, formulations, and natural biopolymers, along with cutting-edge therapeutic agents like tapinarof and mesenchymal stem cells, highlights the potential for an even more precise and personalized management of AD in the future. Despite these advances, challenges persist, particularly in ensuring the long-term safety, accessibility, and broader application of these therapies, necessitating continued research and development.
Single-Shot, Monochrome, Spatial Pixel-Encoded, Structured Light System for Determining Surface Orientations
Authors: Elahi Ahsan , Zhu Qidan , Lu Jun , Farooq Umer , Farid Ghulam , Bilal Muhammad , Li Yong
Published: November 2024

This study introduces a technique for determining surface orientations by projecting a monochrome, spatial pixel-encoded pattern and calculating the surface normals from single-shot measurement. Our method differs from traditional methods, such as shape from shading and shape from texture, in that it does not require relating the local surface orientations of adjacent points. We propose a multi-resolution system incorporating symbols varying in sizes from 8 × 8, 10 × 10, 12 × 12, 14 × 14, and 16 × 16 pixels. Compared to previous methods, we have achieved a denser reconstruction and obtained a 5.2 mm resolution using an 8 × 8 pattern at a depth of 110 cm. Unlike previous methods, which used local point orientations of grid intersection and multiple colors, we have used the monochrome pattern and deterministic centroid positions to compute the unit vector or direction vector between the neighboring symbols. The light plane intersections are used to calculate the tangent vectors on the surface. Surface normals are determined by the cross-product of two tangent vectors on the surface. A real experiment was conducted to measure simple plane surfaces, circular surfaces, and complex sculptures. The results show that the process of calculating surface normals is fast and reliable, and we have computed 1654 surface normals in 29.4 milliseconds for complex surfaces such as sculptures.
Damage Characterization of GFRP Hollow Ribbed Emergency Pipes Subjected to Low-Velocity Impact by Experimental and Numerical Analysis
Authors: Cheng Ming , Ding Dongdong , Ma Yaojun , Zhu Sirong
Published: November 2024

This paper investigates the low-velocity impact response and damage behavior of glass fiber reinforced polymer (GFRP) hollow ribbed emergency pipes of our design under different impact heights. Drop hammer impact tests with impact velocities of 8.41 m/s, 8.97 m/s, and 9.50 m/s were conducted using an impact platform. A progressive damage model for low-velocity impact was developed using Abaqus/Explicit finite element software. The model used the three-dimensional Hashin damage initiation criteria and a damage evolution model based on the equivalent strain method to simulate the initiation and evolution of intralaminar damage in the pipe ring. A cohesive zone model (CZM) based on a bilinear traction-separation law was used to simulate delamination. The results show that the pipe rings experienced fiber or matrix fractures and delamination damage during the impact process. Additionally, the pipe ring specimens underwent bending vibrations under the impact load, leading to fluctuating contact forces at all three impact heights. Analysis of the simulation results reveals that the primary damage modes in the GFRP hollow ribbed emergency pipe are fiber tension damage, matrix tension damage, and fiber compression damage, with delamination occurring mainly in the impact area and the interface area on both sides of the rib.
Recyclable Thermoplastic Elastomer from Furan Functionalized Hairy Nanoparticles with Polystyrene Core and Polydimethylsiloxane Hairs
Authors: Uddin Md , Alsahli Sultan , Alqurashi Esam , Alyoubi Saber , Walters Natalia , Khan Ishrat
Published: November 2024

Polymers synthesized with end-of-life consideration allow for recovery and reprocessing. “Living-anionic polymerization (LAP)” and hydrosilylation reaction were utilized to synthesize hair-end furan functionalized hairy nanoparticles (HNPs) with a hard polystyrene (PS) core and soft polydimethylsiloxane (PDMS) hairs via a one-pot approach. The synthesis was carried out by first preparing the living core through crosslinking styrene with divinylbenzene using sec-butyl lithium, followed by the addition of the hexamethylcyclotrisiloxane (D3) monomer to the living core. The living polymer was terminated by dimethylchlorosilane to obtain the HNPs with Si-H functional end groups. The furan functionalization was carried out by the hydrosilylation reaction between the Si-H of the functionalized HNP and 2-vinyl furan. Additionally, furan functionalized polystyrene (PS) and polydimethylsiloxane (PDMS) were also synthesized by LAP. 1H NMR and ATR-IR spectra confirmed the successful synthesis of the target polymers. Differential scanning calorimetry showed two glass transition temperatures indicative of a polydimethylsiloxane soft phase and a polystyrene hard phase, suggesting that the HNPs are microphase separated. The furan functionalized HNPs form thermo-reversible networks upon crosslinking with bismaleimide (BMI) via a Diels−Alder coupling reaction. The kinetics of the forward Diels–Alder reaction between the functionalized polymer and BMI were studied at three different temperatures: 50 °C, 60 °C, and 70 °C by UV–Vis spectroscopy. The activation energy for the furan functionalized HNPs reaction with the bismaleimide was lower compared to the furan functionalized polystyrene and polydimethylsiloxane linear polymers. The crosslinked polymer network formed from the Diels−Alder forward reaction dissociates at around 140–154 °C, and the HNPs are recovered. The recovered HNPs can be re-crosslinked at 50 °C. The results suggest that furan functionalized HNPs are promising building blocks for preparing thermo-reversible elastomeric networks.
Modeling of Photodynamic Self-Oscillation Based on a Suspended Liquid Crystal Elastomer Ball System
Authors: Li Leilei , Dai Yuntong , Zhao Jun
Published: November 2024

Self-oscillation enables continuous motion by transforming constant external stimuli into mechanical work, eliminating the necessity for supplementary control systems. This holds considerable promise in domains like actuators, wearable devices and biomedicine. In the current study, a novel suspended liquid crystal elastomer (LCEs) ball system consisting of a light-responsive hollow LCE ball and an air blower is constructed. Stable illumination allows for its continuous periodic oscillation. Drawing from the theoretical model in conjunction with the dynamic LCE model, the control equations for the system are established, and its dynamic motion characteristics are explored from theoretical viewpoint. The numerical calculations suggest that two motion patterns are present, i.e., hovering and self-oscillatory patterns. The critical conditions required to initiate the transition between two motion patterns are quantified for different system parameters. As evidenced by the outcomes, manipulating the light intensity, damping coefficient, contraction coefficient, air density, gravitational acceleration, bottom illumination zone height, characteristic coefficient and vertical wind speed at the blower outlet facilitates precise control over the motion patterns as well as the amplitude and frequency. With its simple structure, customizable dimensions, remote activation and active manipulation, this system may potentially change the design approach for energy harvesting, microsensors and aerial vehicles.