bluuebunny/crossref_metadata_2025_split huggingface dataset:
Helicobacter pylori infection is associated with liver fibrosis in patients with obesity undergoing bariatric surgery
Authors: Córdova‐Gallardo Jacqueline , Martínez‐Sánchez Froylan David , Medina‐Julio David , Rojano‐Rodríguez Martin Edgardo , Romero‐Loera Luz Sujey , Vargas‐Agredano Romina , Méndez‐Sánchez Nahum 
Published: September 2024

AbstractBackgroundObesity is a significant risk factor for metabolic‐associated steatotic liver disease (MASLD). The association between Helicobacter pylori (HP) infection and liver fibrosis has not been fully elucidated in patients with obesity and MASLD.MethodsThis observational retrospective study included clinical and biochemical parameters of patients with obesity undergoing bariatric surgery. HP infection was confirmed by gastric endoscopy, and liver biopsies were performed during surgery. Bivariate and logistic regression analyses were employed to evaluate independent associations with liver fibrosis and steatosis by biopsy.ResultsThe mean age of the subjects was 42 ± 10 years, with 84.7% being women, and they had a mean BMI of 42.97 ± 7.56 kg/m2. Overall, 41.7% of patients had an HP infection. Multiple logistic regression models were conducted to assess the association between HP infection, liver steatosis, and fibrosis by biopsy. HP infection was independently associated with liver fibrosis [OR = 3.164 (95% CI 1.011–9.900)].ConclusionBiopsy findings associated HP infection with increased liver fibrosis.
Maxillomandibular Advancement for Obstructive Sleep Apnea in Patients With Obesity: A Meta‐Analysis
Authors: Diemer Tanner J. , Nanu Douglas P. , Nguyen Shaun A. , Ibrahim Badr , Meyer Ted A. , Abdelwahab Mohamed 
Published: September 2024

ObjectiveTo systematically review polysomnographic and cephalometric data in obstructive sleep apnea (OSA) patients with obesity (body mass index [BMI] ≥30 kg/m2) treated with maxillomandibular advancement (MMA).Data SourcesScopus, PubMed, CINAHL, and The COCHRANE Library.Review MethodsA search was performed from inception until April 3, 2024, in each database.ResultsA total of 14 studies (143 subjects) were included. The mean age was 44.3 years (range: 17–69), 80.2% males (95% CI: 72.5–86.5), mean BMI of 35.3 (95% CI: 33.1–37.5), and mean duration to follow‐up post‐MMA was 13.7 months (95% CI: 10.1–17.3). All objective outcomes improved significantly; overall, apnea‐hypopnea index (AHI) decreased by −57.3 ([95% CI: −71.5 to −43.2], p < 0.0001) lowest oxygen saturation (LSAT) increased by 14.1% ([95% CI: 9.9 to 18.3], p < 0.0001), and Epworth Sleepiness Scale (ESS) decreased by −9.4 ([95% CI: −13.5 to −5.2], p < 0.0001). Surgical cure was 39.2% (95% CI: 20.3–60.0), and surgical success was 85.6% (95% CI: 77.8–91.5). Comparing percent reduction in class 3 obesity (−92.9%) as compared to class 1 (−85.5%) and class 2 (−83.6%) exhibited a significant difference (1 vs 3 p = 0.0012, 2 vs 3 p = 0.015).ConclusionsOur findings suggest that MMA significantly improves subjective and objective outcomes in OSA amongst patients with obesity with results comparable to the overall population. Success rates remained above 80% in studies with the highest mean BMI. In addition, patients with class 3 obesity yielded a significantly increased benefit based on percent reduction in AHI compared with class 1 and 2.Level of Evidence1 Laryngoscope, 135:507–516, 2025
Zoom Boom or Bust? Understanding Post‐Pandemic Interest in Facial Plastic Surgery via Google Trends
Authors: Liao David , Lee Mark , Shomorony Andre , Weitzman Rachel , Sclafani Anthony P. 
Published: September 2024

ObjectiveTo understand post‐pandemic interest in plastic surgery procedures via Joinpoint analysis of Google Trends search data.MethodsGoogle Trends was used to quantify search volumes from January 2019–December 2022 for select cosmetic face and body procedures in the United States. A keyword analytic tool (Keywords Everywhere) extracted absolute search volumes (average monthly searches). Joinpoint analysis assessed search trends over time reported as monthly percentage change (MPC).ResultsAll procedures queried, including a non‐cosmetic control (cataract surgery), demonstrated expected declines at the start of the COVID‐19 pandemic. Blepharoplasty, face lift, neck lift, and Botox demonstrated statistically significant increase in search volumes that remained elevated relative to pre‐pandemic levels. Rhinoplasty, fillers, and abdominoplasty interest increased initially followed by return to pre‐pandemic levels by the end of 2022. The remainder of search terms did not show a clear temporal associated with COVID‐19 lockdowns.ConclusionThe “Zoom Boom” appears to be a real phenomenon reflected by sustained increase in public interest in relation to facial plastic procedures.Level of EvidenceNA Laryngoscope, 135:657–664, 2025
Clinical relevance of subtyping CTNNB1‐mutated hepatocellular adenomas: Different risk patterns according to the mutation type
Authors: Bioulac‐Sage Paulette , Sempoux Christine , Gouw Annette S. H. , Paradis Valérie , Le Bail Brigitte , Raymond Anne Aurélie , Balabaud Charles 
Published: September 2024

AbstractBackground and AimsBeta‐catenin‐activated hepatocellular adenomas (b‐HCA) with exon 3 (ex3) non‐S45, ex3 S45 or ex7/8 mutations display different glutamine synthetase (GS)‐immunostaining patterns; the latter two show a GS‐positive/CD34‐negative rim contrasting with diffuse CD34 in the HCA core. Our objective was to determine whether discriminating the three b‐HCA mutation subtypes is clinically relevant.MethodsWe analysed the clinicopathological data of the three b‐HCA subtypes (37 resected cases) and compared it with the corresponding subtypes of beta‐catenin‐activated inflammatory HCA (b‐IHCA, 40 cases).ResultsThe mean age of b‐HCA ex7/8 and ex3 S45 were 25.9 and 27.3 years respectively. Clinical bleeding occurred in 67% and 63%, including five cases of pregnant women; malignant transformation was not observed in these two subtypes. The mean age of the b‐HCA ex3 non‐S45 subtype (41 years) was significantly higher; clinical bleeding occurred in 14% while all cases contained malignancy. Such differences in age and clinical complications were not found in the b‐IHCA subtypes. Additionally, we found abnormal vessels in b‐HCA ex3 S45 and ex7/8, near the GS+/CD34− rim, which was not seen in ex3 non‐S45. These vessels can function as an adjunct to discriminate between the b‐HCA subgroups.ConclusionIn our series, b‐HCA ex7/8 and ex3 S45 patients are significantly younger and have higher clinical bleeding risk than b‐HCA ex3 non‐S45 patients who have a higher malignant risk. Hence, in b‐HCA, due to the differences in clinical complications, it is clinically relevant to identify all three subtypes individually.
Predicting consumer ad preferences: Leveraging a machine learning approach for EDA and FEA neurophysiological metrics
Authors: Marques João Alexandre Lobo , Neto Andreia C. , Silva Susana C. , Bigne Enrique 
Published: September 2024

AbstractThis research unveils to predict consumer ad preferences by detecting seven basic emotions, attention and engagement triggered by advertising through the analysis of two specific physiological monitoring tools, electrodermal activity (EDA), and Facial Expression Analysis (FEA), applied to video advertising, offering a twofold contribution of significant value. First, to identify the most relevant physiological features for consumer preference prediction. We integrated a statistical module encompassing inferential and exploratory analysis tools, which identified emotions such as Joy, Disgust, and Surprise, enabling the statistical differentiation of preferences concerning various advertisements. Second, we present an artificial intelligence (AI) system founded on machine learning techniques, encompassing k‐Nearest Neighbors, Support Vector Machine, and Random Forest (RF). Our findings show that the RF technique emerged as the top performer, boasting an 81% Accuracy, 84% Precision, 79% Recall, and an F1‐score of 81% in predicting consumer preferences. In addition, our research proposes an eXplainable AI module based on feature importance, which discerned Attention, Engagement, Joy, and Disgust as the four most pivotal features influencing consumer ad preference prediction. The results indicate that computerized intelligent systems based on EDA and FEA data can be used to predict consumer ad preferences based on videos and effectively used as supporting tools for marketing specialists.
Pluronic F127‐Complexed PEGylated Poly(glutamic acid)‐Cisplatin Nanomedicine for Enhanced Glioblastoma Therapy
Authors: Chang Xiaoyu , Liu Jiaxue , Li Yunqian , Li Wenliang 
Published: September 2024

AbstractGlioblastoma is one of the most aggressive and treatment‐resistant forms of primary brain cancer, posing significant challenges in effective therapy. This study aimed to enhance the effectiveness of glioblastoma therapy by developing a unique nanomedicine composed of Pluronic F127‐complexed PEGylated poly(glutamic acid)‐cisplatin (PLG‐PEG/PF127‐CDDP). PLG‐PEG/PF127‐CDDP demonstrated an optimal size of 133.97 ± 12.60 nm, facilitating efficient cell uptake by GL261 glioma cells. In vitro studies showed significant cytotoxicity against glioma cells with a half‐maximal (50%) inhibitory concentration (IC50) of 12.61 µg mL−1 at 48 h and a 72.53% ± 1.89% reduction in cell invasion. Furthermore, PLG‐PEG/PF127‐CDDP prolonged the circulation half‐life of cisplatin to 9.75 h in vivo, leading to a more than 50% reduction in tumor size on day 16 post‐treatment initiation in a murine model of glioma. The treatment significantly elevated lactate levels in GL261 cells, indicating enhanced metabolic disruption. Therefore, PLG‐PEG/PF127‐CDDP offers a promising approach for glioblastoma therapy due to its effects on improving drug delivery efficiency, therapeutic outcomes, and safety while minimizing systemic side effects. This work underscores the potential of polymer‐based nanomedicines in overcoming the challenges of treating brain tumors, paving the way for future clinical applications.
Interleukin‐12 sustained release system promotes hematopoietic recovery after radiation injury
Authors: Lin Chuanchuan , Xiang Yang , Zhang Yangyang , Yang Zhenxing , Chen Nanxi , Zhang Weiwei , Hu Lanyue , Chen Jianxin , Luo Ya , Wang Xueying , Xiao Yanni , Zhang Qing , Ran Xi , Chen Li , Dai Jigang , Li Zhongjun , Ran Qian 
Published: September 2024

AbstractThe continuous production of mature blood cell lineages is maintained by hematopoietic stem cells but they are highly susceptible to damage by ionizing radiation (IR) that induces death. Thus, devising therapeutic strategies that can mitigate hematopoietic toxicity caused by IR would benefit acute radiation syndrome (ARS) victims and patients receiving radiotherapy. Herein, we describe the preparation of an injectable hydrogel formulation based on Arg‐Gly‐Asp‐alginate (RGD‐Alg) and Laponite using a simple mixing method that ensured a slow and sustained release of interleukin‐12 (IL‐12) (RGD‐Alg/Laponite@IL‐12). The local administration of RGD‐Alg/Laponite@IL‐12 increased survival rates and promoted the hematopoietic recovery of mice who had received sublethal‐dose irradiation. Local intra‐bone marrow (intra‐BM) injection of RGD‐Alg/Laponite@IL‐12 hydrogel effectively stimulated IL12 receptor‐phosphoinositide 3‐kinase/protein kinase B (IL‐12R‐PI3K/AKT) signaling axis, which promoted proliferation and hematopoietic growth factors secretion of BM mesenchymal stem/stromal cells. This signaling axis facilitates the repair of the hematopoietic microenvironment and plays a pivotal role in hematopoietic reconstitution. In conclusion, we describe a biomaterial‐sustained release of IL‐12 for the treatment of irradiated hematopoietic injury and provide a new therapeutic strategy for hematopoietic ARS.
Unveiling the Dominant Factors in Subthalamic Stimulation for Improving Depression in Parkinson's Disease
Authors: Zhao Guangrui , Cheng Yifeng , Li Guangfeng , Li Lanxin , Li Feng , Wu Yuzhang , Du Chuan , Yan Jingtao , Cong Guangyan , Zhao Qiyuan , Wang Min , Feng Keke , Yin Shaoya 
Published: September 2024

AbstractBackgroundCurrently, the conclusions of studies on subthalamic nucleus (STN) deep brain stimulation (DBS) for improving Parkinson's disease (PD) with depression are inconsistent, and the reasons for improvement or deterioration remain unclear.MethodsThe aim was to investigate the prognosis of PD with depression after bilateral STN‐DBS and the factors related to the improvement in depression. The local and network effects of DBS on depression in PD (DPD) were further explored based on the volume of tissue activation (VTA). The study analyzed 80 primary PD patients who had undergone bilateral STN‐DBS, comprising 47 patients with improved depression and 33 patients without improvement. Two groups of clinical profiles and stimulation parameters were compared, and the network models for improving depression were constructed.ResultsThe improvement in depression was closely associated with improvement in anxiety (odd rate [OR] = 1.067, P = 0.006) and the standardized space left y‐coordinate (OR = 0.253, P = 0.005). The VTA overlapping with the left motor STN subregion is most significantly associated with improvement in depression (RSpearman = 0.53, P < 0.001; RPearson = 0.43, P < 0.001). The y‐coordinates in the improvement group were closer to the optimal stimulation site for improving motor symptoms. Finally, both the structural and functional network models indicate a positive correlation between depression improvement and the connectivity of the sensorimotor cortex.ConclusionThe amelioration of DPD is primarily attributed to the stimulation of bilateral motor STN, particularly on the left. However, this stimulatory effect manifests as an indirect influence.
Reliability of Uroflowmetry Pattern Interpretation in Adult Women
Authors: Rickey Leslie M. , Mueller Elizabeth R. , Newman Diane K. , Markland Alayne D. , Falke Chloe , Rudser Kyle , Smith Ariana L. , Mueller Margaret G. , Lowder Jerry L. , Lukacz Emily S. ,   Prevention of Lower Urinary Tract Symptoms (PLUS) Research Consortium
Published: September 2024

ABSTRACTIntroductionUroflowmetry is often used to assess lower urinary tract symptoms (LUTS). Criteria for characterization of flow patterns are not well established, and subjective interpretation is the most common approach for flow curve classification. We assessed the reliability of uroflowmetry curve interpretation in adult women.Materials and MethodsUroflowmetry studies were obtained in 296 women who participated in an observational cohort study. Four investigators with expertise in female LUTS and urodynamics reviewed and categorized each tracing for interrater reliability. A random subset of 50 tracings was re‐reviewed by each investigator for intrarater reliability. The uroflowmetry tracings were rated using categories of continuous, continuous fluctuating, interrupted, and prolonged. Other parameters included flow rate, voided volume, time to maximum flow, and voiding time. Agreement between raters is summarized with kappa (k) statistics and percentage where at least three raters agreed.ResultsThe mean age of participants was 44.8 ± 18.3 years. Participant age categories were 18–24 years: 20%; 25–34 years: 17%; 35–64 years: 42%; 65+ years: 18%. Nine percent described their race as Asian, 31% Black, 62% White, and 89% were of non‐Hispanic ethnicity. The interrater reliability was highest for the continuous flow category (k = 0.65), 0.47 for prolonged, 0.41 for continuous fluctuating, and 0.39 for interrupted flow curves. Agreement among at least three raters occurred in 74.3% of uroflow curves (69% for continuous, 33% for continuous fluctuating, 23% for interrupted, and 25% for prolonged). For intrarater reliability, the mean k was 0.72 with a range of 0.57–0.85.ConclusionsCurrently accepted uroflowmetry pattern categories have fair to moderate interrater reliability, which is lower for flow curves that do not meet “continuous” criteria. Given the subjective nature of interpreting uroflowmetry data, more consistent and clear parameters may enhance reliability for use in research and as a screening tool for LUTS and voiding dysfunction.Trial RegistrationParent trial: Validation of Bladder Health Instrument for Evaluation in Women (VIEW); ClinicalTrials.gov ID: NCT04016298.
Amyloban, extracted from Hericium erinaceus, ameliorates social deficits and suppresses the enhanced dopaminergic system in social defeat stress mice
Authors: Wang Tianran , Toriumi Kazuya , Suzuki Kazuhiro , Miyashita Mitsuhiro , Ozawa Azuna , Masada Mayuko , Itokawa Masanari , Arai Makoto 
Published: September 2024

AbstractSocial dysfunctions are common in various psychiatric disorders, including depression, schizophrenia, and autism, and are long‐lasting and difficult to treat. The development of treatments for social impairment is critical for the treatment of several psychiatric disorders. “Amyloban 3399,” a product extracted from the mushroom Hericium erinaceus, markedly improves social dysfunctions in patients with treatment‐resistant schizophrenia and depression. However, the molecular mechanism(s) through which amyloban ameliorates social impairment remains unclear. To clarify this mechanism, in this study, we aimed to establish a mouse model of social defeat stress (SDS) and investigate the effects of amyloban on social deficits. Amyloban administration ameliorated social deficits and the dopamine system activity in SDS mice. These findings suggest that there is a possibility that amyloban may improve social deficits by suppressing the hyperactivation of the dopaminergic system. Amyloban may be an effective treatment for social dysfunctions associated with various psychiatric disorders.
Modeling variability of the electrical conductivity tensor for the induction welding of composites
Authors: Schuttert Wouter J. , Abdul Rasheed Mohammed Iqbal , Rosić Bojana 
Published: September 2024

AbstractInduction welding utilizes electromagnetic induction to heat carbon fiber reinforced thermoplastic (CFRTP) materials, enabling their fusion without direct contact. This heating process directly impacts material viscosity and bonding strength, with optimal temperatures ensuring proper fusion and strong adhesion between composite layers. The process is strongly influenced by material quality, as poor‐quality materials can lead to uneven heating, incomplete fusion, and compromised structural integrity. To investigate the influence of the variation of CFRTP material properties on the generated heat, in this paper, we propose a novel way of modeling and propagating the stochastic electrical conductivity tensor through the physics based model describing the fusion bonding. The electrical conductivity of CFRTP is an anisotropic and inherently variable material property. To model this variation, we propose a stochastic model belonging to a family of positive definite tensors. In particular, we suggest the stochastic model in which both the scaling/strength and orientation of the tensor are separately modeled as stochastic. In this manner, we are capable of assigning a specific class of spatial symmetries and invariances to individual realizations of the stochastic tensor, all the while insisting that the average of the entire population adheres to a potentially ‘higher’ spatial invariance class. Finally, the proposed model is incorporated to the physics based model based on which the variation in the temperature field characterizing the fusion bonding process is quantified with the help of the sparse grid integration.
Nonisothermal Cahn–Hilliard Navier–Stokes system
Authors: Brunk Aaron , Schumann Dennis 
Published: September 2024

AbstractIn this research, we introduce and investigate an approximation method that preserves the structural integrity of the non‐isothermal Cahn–Hilliard–Navier–Stokes system. Our approach extends a previously proposed technique by Brunk and Schumann, which utilizes conforming (inf‐sup stable) finite elements in space, coupled with implicit time discretization employing convex‐concave splitting. Expanding upon this method, we incorporate the unstable pair for the Navier–Stokes contributions, integrating Brezzi–Pitkäranta stabilization. Additionally, we improve the enforcement of incompressibility conditions through grad–div stabilization. While these techniques are well‐established for Navier–Stokes equations, it becomes apparent that for non‐isothermal models, they introduce additional coupling terms to the equation governing internal energy. To ensure the conservation of total energy and maintain entropy production, these stabilization terms are appropriately integrated into the internal energy equation.
Accelerating the design of the effective surface of pressing tools with probabilistic inverse modeling approaches
Authors: Hupfeld Henning Karsten , Teshima Yuta , Ali Syed Sarim , Dröder Klaus , Herrmann Christoph , Hürkamp André 
Published: September 2024

AbstractIn the design and production of press part components, the tool development process is an essential step to fulfil the required quality criteria. Conventionally, this is achieved based on expert knowledge to design the effective surface with respect to the multitude of physical, procedural, and human influences. Thus, several iterations in the tool development process are usually required, which are costly and can lead to bottlenecks within product design cycles. To accelerate this tool design, we propose a diffusion model architecture to inversely design the necessary effective tool surface given a desired geometry of the press part. This diffusion model is able to reduce the generalization issues of classical machine learning approaches by leveraging the attention mechanism both in the spatial and temporal dimension of the underlying forming process. The applicability of a similar diffusion model has already been shown in previous applications for the inverse‐design of metamaterials and this work further demonstrates diffusion models as a suitable model candidate for the inverse‐design of 3D‐geometries. For model training, finite element simulations containing the time series of deformation states during the forming process were used. Furthermore, different geometry variations of part and tool as well as relevant press process parameters were used in the training. With the procedure demonstrated in this study, a future‐oriented support for the tool development process has been shown, enabling further developments towards a time‐ and cost‐efficient production of press tools.