bluuebunny/crossref_metadata_2025 huggingface dataset:
Classification of Histologically Proven Inflammation in Clinically Inactive Corneal Scars: Implications for Graft Outcomes After Penetrating Keratoplasty
Authors: Schliffka Max , Siegel Helena , Auw-Haedrich Claudia , van Oterendorp Christian , Boehringer Daniel , Reinhard Thomas
Published: January 2025

Background/Objectives: Clinically inactive corneal scars have repeatedly been shown to exhibit histological inflammation. This study aimed to evaluate the degree of histological inflammation in clinically inactive corneal scars of different origins and its correlation with graft rejection and failure following penetrating keratoplasty. Methods: The study included 205 primary corneal explants with clinically inactive central scars resulting from herpes simplex virus keratitis (HSV, n = 55), keratoconus (n = 39), mechanical trauma (n = 27), scrophulosa (n = 22) or other/unknown causes (n = 62). Central histological sections were categorized by the degree of inflammation, and an overall inflammation score (IS) was calculated. Results: HSV-associated scars exhibited a trend towards more graft rejection with higher IS (p = 0.074). Keratoconus-associated scars showed no IS-dependent differences in graft rejection or failure. The rejection rate in this group was 13/39. Scars resulting from mechanical trauma, such as perforating injuries, demonstrated a trend towards higher graft rejection (p = 0.15) and failure rates (p = 0.089) with increasing IS. The rejection rate in this group was 11/27. Scrophulosa-associated scars had significantly higher graft rejection rates (p = 0.041) at a lower cut-off of 0.06 compared to the cut-off of 0.36 for the other groups. Scars of other or unknown causes showed no IS-dependent differences in graft rejection or failure. Conclusions: Histological inflammation in HSV scars and scars resulting from mechanical trauma appeared to contribute to graft rejection. Despite low IS, the rejection rate in keratoconus scars and scars following mechanical trauma was unexpectedly high, indicating the presence of other influencing factors. While some correlations did not reach statistical significance due to small sample sizes in the subgroups, the observed trends should be considered clinically relevant. The study may have been “underpowered”, as histopathologically inflamed specimens with clinically inactive corneal scars are relatively rare.
Facial Foramen Diagnostic and Surgical Role as Reference Points in Asymmetries—Cone-Beam Computed Tomography Preliminary Study
Authors: Nelke Kamil , Janeczek Maciej , Małyszek Agata , Łukaszewski Marceli , Frydrych Marta , Kulus Michał , Dąbrowski Paweł , Łuczak Klaudiusz , Pawlak Wojciech , Gogolewski Grzegorz , Dobrzyński Maciej
Published: January 2025

Introduction: Facial asymmetry can be attributed to a multitude of underlying causes. Multiple reference points can be utilized for guidance in surgery planning. The scope of mandibular overgrowth and asymmetry should always be measured on CBCT radiographs (cone-beam computed tomography). The assessment of the mental foramen, and the supra and infraorbital foramina is crucial in surgical procedures. Their potential as reference points for predicting specific conditions has never been studied before. The authors explored if the mentioned foramina can be used for diagnostic purposes to distinguish the type of asymmetry or perhaps could improve any surgery planning in those skeletal asymmetry cases. Material and methods: Evaluation of 30 CBCT radiographs in the present preliminary study based on three study groups consisting of patients with normal skeletal features without any skeletal malocclusion (n = 10), and those compared with hemimandibular elongation (HE = 10) and hyperplasia (CH/HH = 10). For the evaluation of asymmetry, fluctuating asymmetry indices were calculated. Results: The fluctuating asymmetry indices did not differ between both sexes; however, they were remarkably higher in the CH groups than in HE or control. Some of the indices showing the highest differences show some potential as promising predictors for early detection of CH. Conclusions: The condylar hyperplasia shows the highest facial asymmetry among study groups and metric traits. The supraorbital-mental foramina measurement may be used for initial screening for the occurrence of condylar hyperplasia Additional measurements could increase the predictive value of this indicator. Further study on improved samples could confirm the hypothesis of facial foramina displacement influence on jaw osteotomy planning.
Examining the Prevalence, Characteristics, and Potential Links Between Skin Disorders and Autism Spectrum Disorder (ASD)
Authors: Al-Ayadhi Laila Yousif , Elamin Nadra Elyass , Madani Abdulaziz , Al-Ghamdi Farah , Al-Ghamdi Hend Ali , Halepoto Dost Muhammad
Published: January 2025

Background: Increasing evidence indicates that skin disorders may contribute to an increased risk of autism spectrum disorder (ASD). They can affect the quality of life, and they have an impact on social isolation, behavioral problems, cognitive scores, and some subscales of ASD. Methods: This study was an online questionnaire-based, observational, and cross-sectional study conducted during the period from August 2022 through January 2023 to examine dermatological manifestations among ASD individuals compared to controls. Descriptive and non-parametric tests were used for data analysis. Results: A total of 363 individuals with skin diseases were interviewed during the study period. In total, 189 (52.1%) of participants were autistic and 174 (47.9%) were controls. Asthma, anxiety, depression, and autoimmune disease were persistent in the ASD group compared to the controls (p < 0.001). The results also show that skin, food, and respiratory allergies were statistically significantly associated with ASD (50%, 22.2%, 14.8%, respectively) compared to the controls (26.4%, 10.3%, 7.5%, respectively) (p < 0.05). The most prevalent disease in the controls was eczema (15.5%), followed by dry skin (14.9%) and acne (10.3%). These diseases showed a statistically significant association with ASD compared to the controls (p < 0.0001). Conclusions: Our findings indicate that atopic disorders and comorbidities, including eczema, asthma, and allergies, are significantly associated with ASD. A large population-based study is warranted to clarify the prevalence of skin disorders among individuals with ASD, coupled with the study of the association between skin disorders and comorbidities to determine the relationship precisely.
Real-Time Biomarkers of Liver Graft Quality in Hypothermic Oxygenated Machine Perfusion
Authors: Zhylko Andriy , Morawski Marcin , Rykowski Paweł , Krasnodębski Maciej , Wyporski Anya , Borkowski Jan , Zhylko Dmytro , Kobryń Konrad , Stankiewicz Rafał , Stypułkowski Jan , Hołówko Wacław , Patkowski Waldemar , Wróblewski Tadeusz , Szczepankiewicz Benedykt , Górnicka Barbara , Mielczarek-Puta Magdalena , Struga Marta , Krawczyk Marek , Grąt Michał
Published: January 2025

Background: Hypothermic oxygenated machine perfusion has emerged as a strategy to alleviate ischemic-reperfusion injury in liver grafts. Nevertheless, there is limited data on the effectiveness of hypothermic liver perfusion in evaluating organ quality. This study aimed to introduce a readily accessible real-time predictive biomarker measured in machine perfusate for post-transplant liver graft function. Methods: The study evaluated perfusate analytes over a 90-day postoperative period in 26 patients randomly assigned to receive a liver graft following dual hypothermic machine perfusion in a prospective randomized controlled trial. Machine perfusion was consistently conducted end-ischemically for at least 120 min, with real-time perfusate assessment at 30-min intervals. Graft functionality was assessed using established metrics, including Early Allograft Dysfunction (EAD). Results: Perfusate lactate concentration after 120 min of machine perfusion demonstrated significant predictive value for EAD (AUC ROC: 0.841, p = 0.009). Additionally, it correlated with post-transplant peak transaminase levels and extended hospital stays. Subgroup analysis revealed significantly higher lactate accumulation in livers with post-transplant EAD. Conclusions: Liver graft quality can be effectively assessed during hypothermic machine perfusion using simple perfusate lactate measurements. The reliability and accessibility of this evaluation support its potential integration into diverse transplant centers.
Velopharyngeal Insufficiency and Impaired Tongue Movement Indicate Neuromuscular Disorders: A 10-Year Statistical Study in a Single Tertiary Institution
Authors: Fujisaki Aiko , Ueha Rumi , Cotaoco Carmel , Koyama Misaki , Sato Taku , Goto Takao , Kondo Kenji , Yamasoba Tatsuya
Published: January 2025

Objectives: This study aimed to determine the positive predictive value of our NMD Suspicion Criteria in the diagnosis of NMDs. Other clinical factors routinely examined in our voice and swallowing examinations were also investigated to see if they had a significant association with the diagnosis of NMDs. Methods: This study retrospectively investigated the medical charts of patients who visited our Voice and Swallowing outpatient clinic between 2013 and 2022. Patients with previously diagnosed NMDs were excluded from the analysis. Among the remaining patients, we included those that were referred to neurologists for further evaluation due to suspicion of having an NMD based on the NMD Suspicion Criteria. The patients were then divided into groups according to the status of their diagnosis within 2 years of referral as “diagnosed”, “denied”, or “observed”. These three groups of patients were then compared according to the following clinical findings; velopharyngeal insufficiency (VPI), tongue atrophy, impaired tongue movement, dysarthria, vocal fold mobility impairment, dysphagia, involuntary movement, gait disturbances, weight loss, and a sense of fatigue in order to see if they were significantly associated with the diagnosis of NMDs. Results: Of 3769 outpatients without a confirmed diagnosis of NMDs, 37 were referred to neurologists for suspected NMDs, and 19 (51%) were diagnosed with NMDs. VPI and impaired tongue movement were significant diagnostic factors for NMDs (p = 0.014, 0.033). VPI during speech (p = 0.045) was more strongly associated with the diagnosis of NMDs than VPI during swallowing (p = 0.076). Fatigue was a significant related factor for other diseases (non-NMDs) causing Voice and Swallowing problems (p = 0.049). Conclusions: In the outpatient clinic setting, suspicion of NMD should be raised, particularly when VPI and impaired tongue movement are observed, prompting a thorough assessment of velopharyngeal closure during both speech and swallowing.
Enhanced Image Retrieval Using Multiscale Deep Feature Fusion in Supervised Hashing
Authors: Belalia Amina , Belloulata Kamel , Redaoui Adil
Published: January 2025

In recent years, deep-network-based hashing has gained prominence in image retrieval for its ability to generate compact and efficient binary representations. However, most existing methods predominantly focus on high-level semantic features extracted from the final layers of networks, often neglecting structural details that are crucial for capturing spatial relationships within images. Achieving a balance between preserving structural information and maximizing retrieval accuracy is the key to effective image hashing and retrieval. To address this challenge, we introduce Multiscale Deep Feature Fusion for Supervised Hashing (MDFF-SH), a novel approach that integrates multiscale feature fusion into the hashing process. The hallmark of MDFF-SH lies in its ability to combine low-level structural features with high-level semantic context, synthesizing robust and compact hash codes. By leveraging multiscale features from multiple convolutional layers, MDFF-SH ensures the preservation of fine-grained image details while maintaining global semantic integrity, achieving a harmonious balance that enhances retrieval precision and recall. Our approach demonstrated a superior performance on benchmark datasets, achieving significant gains in the Mean Average Precision (MAP) compared with the state-of-the-art methods: 9.5% on CIFAR-10, 5% on NUS-WIDE, and 11.5% on MS-COCO. These results highlight the effectiveness of MDFF-SH in bridging structural and semantic information, setting a new standard for high-precision image retrieval through multiscale feature fusion.
LittleFaceNet: A Small-Sized Face Recognition Method Based on RetinaFace and AdaFace
Authors: Ren Zhengwei , Liu Xinyu , Xu Jing , Zhang Yongsheng , Fang Ming
Published: January 2025

For surveillance video management in university laboratories, issues such as occlusion and low-resolution face capture often arise. Traditional face recognition algorithms are typically static and rely heavily on clear images, resulting in inaccurate recognition for low-resolution, small-sized faces. To address the challenges of occlusion and low-resolution person identification, this paper proposes a new face recognition framework by reconstructing Retinaface-Resnet and combining it with Quality-Adaptive Margin (adaface). Currently, although there are many target detection algorithms, they all require a large amount of data for training. However, datasets for low-resolution face detection are scarce, leading to poor detection performance of the models. This paper aims to solve Retinaface’s weak face recognition capability in low-resolution scenarios and its potential inaccuracies in face bounding box localization when faces are at extreme angles or partially occluded. To this end, Spatial Depth-wise Separable Convolutions are introduced. Retinaface-Resnet is designed for face detection and localization, while adaface is employed to address low-resolution face recognition by using feature norm approximation to estimate image quality and applying an adaptive margin function. Additionally, a multi-object tracking algorithm is used to solve the problem of moving occlusion. Experimental results demonstrate significant improvements, achieving an accuracy of 96.12% on the WiderFace dataset and a recognition accuracy of 84.36% in practical laboratory applications.
Research on “Identification–Cognition–Perception” of the Pedestrian Spaces Around Subway Stations near Popular Tourist Attractions from the Tourists’ Perspective: A Case Study of Tianjin
Authors: Liu Weiwei , Yan Jianwei , Sun Xiang , Song Ruiqi
Published: January 2025

Public transportation serving urban tourism has a positive impact on sustainable urban development. With the rapid rise of “subway tourism” in China and the emergence of numerous popular attractions, the pedestrian spaces connecting subway stations and attractions are important public spaces for tourists’ perception. Identifying, cognizing, and perceiving the pedestrian spaces around subway stations near popular tourist attractions from the tourists’ perspective holds significant value for promoting station–city coordination and enhancing spatial quality. This paper establishes an optimization design framework for the pedestrian spaces around subway stations near urban popular tourist attractions, moving from identification to cognition and perception. Taking Tianjin, China as an example, we collected 11,405 travelogue data entries and street network data of the subway stations around popular attractions. (1) We constructed an LDA topic model to identify popular tourist attractions; (2) we applied space syntax to understand the features and forms of the pedestrian spaces around subway stations; (3) we utilized the ROST-CM network text analysis method to analyze tourists’ overall perception of the pedestrian spaces around subway stations; (4) we proposed suggestions for optimization. The contribution of this study lies in constructing a vertical analytical framework that transitions from “identification” to “cognition” to “perception”. The cognitive and perceptual dimensions can mutually corroborate some of their findings but are not interchangeable. Future urban spatial optimization research should consider both cognitive and perceptual dimensions, enhancing the comprehensiveness of the human-centered perspective. The research results provide empirical references and guidance for the management and practice of urban space renewal around subway stations near major cities’ tourist attractions.
Sub-District Level Spatiotemporal Changes of Carbon Storage and Driving Factor Analysis: A Case Study in Beijing
Authors: Zhang Yirui , Du Shouhang , Zhu Linye , Guo Tianzhuo , Zhao Xuesong , Guo Junting
Published: January 2025

Analyzing the current trends and causes of carbon storage changes and accurately predicting future land use and carbon storage changes under different climate scenarios is crucial for regional land use decision-making and carbon management. This study focuses on Beijing as its study area and introduces a framework that combines the Markov model, the Patch-based Land Use Simulation (PLUS) model, and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to assess carbon storage at the sub-district level. This framework allows for a systematic analysis of land use and carbon storage spatiotemporal evolution in Beijing from 2000 to 2020, including the influence of driving factors on carbon storage. Moreover, it enables the simulation and prediction of land use and carbon storage changes in Beijing from 2025 to 2040 under various scenarios. The results show the following: (1) From 2000 to 2020, the overall land use change in Beijing showed a trend of “Significant decrease in cropland area; Forest increase gradually; Shrub and grassland area increase first and then decrease; Decrease and then increase in water; Impervious expands in a large scale”. (2) From 2000 to 2020, the carbon storage in Beijing showed a “decrease-increase” fluctuation, with an overall decrease of 1.3 Tg. In future carbon storage prediction, the ecological protection scenario will contribute to achieving the goals of carbon peak and carbon neutrality. (3) Among the various driving factors, slope has the strongest impact on the overall carbon storage in Beijing, followed by Human Activity Intensity (HAI) and Nighttime Light Data (NTL). In the analysis of carbon storage in the built-up areas, it was found that HAI and DEM (Digital Elevation Model) have the strongest effect, followed by NTL and Fractional Vegetation Cover (FVC). The findings from this study offer valuable insights for the sustainable advancement of ecological conservation and urban development in Beijing.
The Impact of Policy Quantification on Rural Spatial Development in Suburbs: A Case Study of Dalian’s Main Urban Area
Authors: Wang Jiaxiang , Cao Zehao , Chen Tian , Hu Chunguang
Published: January 2025

Under China’s rural revitalization strategy, peri-urban villages function as pivotal nodes in urban–rural integration. Existing policy research predominantly emphasizes macro-level land and industrial policies, neglecting their spatial development effects on peri-urban villages. This study addresses the gap by constructing a policy quantification framework and employing a Vector Autoregression (VAR) model to analyze policy impacts on rural spatial development, focusing on peri-urban villages in Dalian’s main districts from 2004 to 2023. The results indicate a fluctuating yet upward trend in policy effectiveness. Initial supply-side policies prioritized infrastructure development, whereas subsequent demand-side policies significantly enhanced living conditions, underscoring the necessity of adaptive policy strategies. The rural revitalization construction index exhibited notable spatial heterogeneity, evolving from clusters near industrial zones to expansion into areas like the Jinzhou District, aligned with urban growth patterns. Granger causality analysis confirmed the strong influence of policy interventions, with the first-order lag VAR model offering reliable predictions of short- and long-term policy effects. Initially, the construction index was entirely self-driven (100%), but its reliance on self-influence waned to 69.8% over time, highlighting a transition toward greater policy-driven development.
Endarachne binghamiae Extract Ameliorates Inflammatory Responses in Macrophages Through Regulation of MAPK, NF-kB and PI3K/AKT Pathways, and Prevents Acute Lung Injury in Mice
Authors: Lee Sang-Hoon , Lee Sang-Seop , Lee Ga-Young , Han Seung-Yun , Kim Dong-Sub , Lee Bong-Ho , Yoo Yung-Choon
Published: January 2025

In this study, the anti-inflammatory effect of the hot water extract of Endarachne binghamiae (EB-WE), a type of marine brown algae, was investigated in LPS-stimulated RAW 264.7 cells and an acute lung injury (ALI) mouse model induced by intranasal LPS administration. Treatment with EB-WE significantly inhibited NO and pro-inflammatory cytokine (TNF-a and IL-6) production in LPS-stimulated RAW 264.7 cells. In mRNA analysis, the expression of pro-inflammatory cytokines, COX-2, and iNOS mRNAs, was down-regulated by EB-WE treatment. The phosphorylation of MAPK, IkB, and PI3K/AKT molecules responsible for signal pathways during inflammation in LPS-stimulated macrophages was also significantly inhibited by EB-WE. In an in vivo model for ALI, oral administration of EB-WE significantly reduced the level of pro-inflammatory cytokines (TNF-a, IL-1b, and IL-6) and chemokines (MCP-1, CXC-16, CXCL1, and TARC) in serum or bronchoalveolar lavage fluid (BALF) of mice. Similarly to the results in LPS-stimulated RAW 264.7 cells, treatment with EB-WE significantly inhibited intracellular signal pathways mediated by MAPK, IkB, and PI3K/AKT in lung tissues of mice with ALI, and also decreased the expression of mRNAs of inflammatory mediators such as TNF-a, IL-6, iNOS, and COX-2. Furthermore, the inhibitory effect of EB-WE on ALI was apparently confirmed in histological examination through lung tissue staining. Taken together, it is clear that EB-WE has potential activity to effectively ameliorate the inflammatory responses in macrophages through down-regulation of MAPK, NF-kB, and PI3K/AKT activation, and suppress acute lung injury induced by LPS. These findings strongly suggest that EB-WE is a promising natural product beneficial for developing preventive treatments and cures of inflammation-related diseases.
Structure and Corrosion Resistance of Fe40Al5Cr0.2TiB Alloy After Casting and After Homogenization Annealing
Authors: Cebulski Janusz , Pasek Dorota , Popczyk Magdalena , Swinarew Andrzej , Gabor Jadwiga
Published: January 2025

This article shows the results of research conducted on the corrosion resistance of the FeAl (Fe40Al5Cr0.2TiB) alloy in two variants: the alloy after casting and after homogenization annealing (1000 °C, 93 h). Analysis of the microstructure of these alloys was conducted on the light microscope, and the phase composition was determined by X-ray diffraction. Resistance to electrochemical corrosion was tested in a 5% NaCl solution using the potentiodynamic polarization technique and electrochemical impedance spectroscopy. The surface of alloys after corrosion tests was examined by scanning electron microscopy. Chemical composition tests were conducted using an energy-dispersive X-ray spectrometer. The structure analysis was made with an electron backscatter diffraction detector. Based on the studies, it was found that the corrosion resistance of the FeAl alloy after homogenization annealing was higher than that of the FeAl alloy after casting. This alloy showed a more non-homogeneous and coarse-grained microstructure compared to the alloy after homogenization annealing. The investigation of the surface condition of FeAl alloys after corrosion tests showed the presence of pits, particularly in the case of the alloy after casting.
Preparation and Physical Properties of Quaternary Mn2FeSi0.5Al0.5 Alloy Powders with Heusler and β-Mn Structures
Authors: Skotnicova Katerina , Jurica Jan , Zivotsky Ondrej , Cegan Tomas , Hrabovska Kamila , Matejka Vlastimil , Zla Simona , Kawulokova Monika , Chrobak Artur
Published: January 2025

Manganese-based alloys with the composition Mn2FeZ (Z = Si, Al) have been extensively investigated in recent years due to their potential applications in spintronics. The Mn2FeSi alloy, prepared in the form of ingots, powders, or ribbons, exhibits either a cubic full-Heusler (L21) structure, an inverse-Heusler (XA) structure, or a combination of both. In contrast, the Mn2FeAl alloy has so far been synthesized only in the form of ingots, featuring a primitive cubic (β-Mn type) structure. This study focuses on the new quaternary Mn2FeSi0.5Al0.5 alloy synthesized from pure Mn, Fe, Si, and Al powders via mechanical alloying. The elemental powders were ball-milled for 168 h with a ball-to-powder ratio of 10:1, followed by annealing at 550 °C, 700 °C, and 950 °C for 8 h in an argon protective atmosphere. The results demonstrate that annealing at lower temperatures (550 °C) led to the formation of a Heusler structure with a lattice constant of 0.5739 nm. Annealing at 700 °C resulted in the coexistence of several phases, including the Heusler phase and a newly developed primitive cubic β-Mn structure. Further increasing the annealing temperature to 950 °C completely suppressed the Heusler phase, with the β-Mn structure, having a lattice constant of 0.6281 nm, becoming the dominant phase. These findings confirm the possibility of tuning the structure of Mn2FeSi0.5Al0.5 alloy powder—and thereby its physical properties—by varying the annealing temperature. The sensitivity of magnetic properties to structural changes is demonstrated through magnetization curves and zero-field-cooled/field-cooled curves in the temperature range of 5 K to 300 K.
Dispersion-Stable Carboxymethyl Cellulose/Single-Walled Carbon Nanotube Composite for Water-Processed Organic Thermoelectrics
Authors: Jang Jaehee , Yeom Hyejeong , Chae Sujong , Kee Seyoung
Published: January 2025

Carbon nanotubes (CNTs) have drawn great attention as promising candidates for realizing next-generation printed thermoelectrics (TEs). However, the dispersion instability and resulting poor printability of CNTs have been major issues for their practical processing and device applications. In this work, we investigated the TE characteristics of water-processable carboxymethyl cellulose (CMC) and single-walled CNT (SWCNT) composite. The microscopic analyses indicated that the CMC-incorporated SWCNT dispersions produced uniform and smooth TE films, capable of ensuring reliable TE performance. The resulting composite films provided a low temperature power factor of 73 μW m−1 K−2 with a high electrical conductivity of ≈1600 S cm−1 and a Seebeck coefficient of ≈21 µV K−1. Moreover, the composite films possessed low thermal conductivity of ≈25 W m−1 K−1, significantly lower than that of pure SWCNTs, with a maximum figure of merit of 1.54 × 10−3 at 353.15 K. Finally, we successfully demonstrated water-processed organic TEGs using CMC/SWCNT films as a p-type component. This work could offer valuable insights to support the development of printable organic-based TE materials and devices.
Dual Connectivity in Graphs
Authors: Mutar Mohammed A. , Otera Daniele Ettore , Khawwan Hasan A.
Published: January 2025

An edge-coloring σ of a connected graph G is called rainbow if there exists a rainbow path connecting any pair of vertices. In contrast, σ is monochromatic if there is a monochromatic path between any two vertices. Some graphs can admit a coloring which is simultaneously rainbow and monochromatic; for instance, any coloring of Kn is rainbow and monochromatic. This paper refers to such a coloring as dual coloring. We investigate dual coloring on various graphs and raise some questions about the sufficient conditions for connected graphs to be dual connected.
One More Thing on the Subject: Generating Chaos via x|x|a−1, Melnikov’s Approach Using Simulations
Authors: Kyurkchiev Nikolay , Iliev Anton , Kyurkchiev Vesselin , Rahnev Asen
Published: January 2025

In this article, we propose a new hypothetical differential model with many free parameters, which makes it attractive to users. The motivation is as follows: an extended model is proposed that allows us to investigate classical and newer models appearing in the literature at a “higher energy level”, as well as the generation of high–order Melnikov polynomials (corresponding to the proposed extended model) with possible applications in the field of antenna feeder technology. We present a few specific modules for examining these oscillators’ behavior. A much broader Web-based application for scientific computing will incorporate this as a key component.
Decentralized Federated Learning with Prototype Exchange
Authors: Qi Lu , Chen Haoze , Zou Hongliang , Chen Shaohua , Zhang Xiaoying , Chen Hongyan
Published: January 2025

As AI applications become increasingly integrated into daily life, protecting user privacy while enabling collaborative model training has become a crucial challenge, especially in decentralized edge computing environments. Traditional federated learning (FL) approaches, which rely on centralized model aggregation, struggle in such settings due to bandwidth limitations, data heterogeneity, and varying device capabilities among edge nodes. To address these issues, we propose PearFL, a decentralized FL framework that enhances collaboration and model generalization by introducing prototype exchange mechanisms. PearFL allows each client to share lightweight prototype information with its neighbors, minimizing communication overhead and improving model consistency across distributed devices. Experimental evaluations on benchmark datasets, including MNIST, CIFAR-10, and CIFAR-100, demonstrate that PearFL achieves superior communication efficiency, convergence speed, and accuracy compared to conventional FL methods. These results confirm PearFL’s efficacy as a scalable solution for decentralized learning in heterogeneous and resource-constrained environments.
An Analytically Modified Finite Difference Scheme for Pricing Discretely Monitored Options
Authors: Luo Guo , Huang Min
Published: January 2025

Finite difference methods are commonly used in the pricing of discretely monitored exotic options in the Black–Scholes framework, but they tend to converge slowly due to discontinuities contained in terminal conditions. We present an effective analytical modification to existing finite difference methods that greatly enhances their performance on discretely monitored options with non-smooth terminal conditions. We apply this modification to the popular Crank–Nicolson method and obtain highly accurate option pricing results with significantly reduced CPU cost. We also introduce an adaptive mesh refinement technique that further improves the computational speed of the modified finite difference method. The proposed method is especially useful for options with high monitoring frequencies, which are difficult to price using other existing methods.
Extensions of Riordan Arrays and Their Applications
Authors: Barry Paul
Published: January 2025

The Riordan group of Riordan arrays was first described in 1991, and since then, it has provided useful tools for the study of areas such as combinatorial identities, polynomial sequences (including families of orthogonal polynomials), lattice path enumeration, and linear recurrences. Useful extensions of the idea of a Riordan array have included almost Riordan arrays, double Riordan arrays, and their generalizations. After giving a brief overview of the Riordan group, we define two further extensions of the notion of Riordan arrays, and we give a number of applications for these extensions. The relevance of these applications indicates that these new extensions are worthy of study. The first extension is that of the reverse symmetrization of a Riordan array, for which we give two applications. The first application of this symmetrization is to the study of a family of Riordan arrays whose symmetrizations lead to the famous Robbins numbers as well as to numbers associated with the 20 vertex model of mathematical physics. We provide closed-form expressions for the elements of these arrays, and we also give a canonical Catalan factorization for them. We also describe an alternative family of Riordan arrays whose symmetrizations lead to the same integer sequences. The second application of this symmetrization process is to the area of the enumeration of lattice paths. We remain with the applications to lattice paths for the second extension of Riordan arrays that we introduce, which is the interleaved Riordan array. The methods used include generating functions, linear algebra, weighted compositions, and linear recurrences. In the case of the symmetrization process applied to Riordan arrays, we focus on the principal minor sequences of the resulting square matrices in the context of integrable lattice models.
A Majority Theorem for the Uncapacitated p = 2 Median Problem and Local Spatial Autocorrelation
Authors: Griffith Daniel A. , Chun Yongwan , Kim Hyun
Published: January 2025

The existing quantitative geography literature contains a dearth of articles that span spatial autocorrelation (SA), a fundamental property of georeferenced data, and spatial optimization, a popular form of geographic analysis. The well-known location–allocation problem illustrates this state of affairs, although its empirical geographic distribution of demand virtually always exhibits positive SA. This latent redundant attribute information alludes to other tools that may well help to solve such spatial optimization problems in an improved, if not better than, heuristic way. Within a proof-of-concept perspective, this paper articulates connections between extensions of the renowned Majority Theorem of the minisum problem and especially the local indices of SA (LISA). The relationship articulation outlined here extends to the p = 2 setting linkages already established for the p = 1 spatial median problem. In addition, this paper presents the foundation for a novel extremely efficient p = 2 algorithm whose formulation demonstratively exploits spatial autocorrelation.
Impact of Obesity on Short-Term Outcomes in Patients Undergoing Retroperitoneal Laparoscopic/Retroperitoneoscopic Adrenalectomy for Benign or Malignant Adrenal Diseases: A Meta-Analysis
Authors: Zizzo Maurizio , Morini Andrea , Zanelli Magda , Grasselli Chiara , Sanguedolce Francesca , Wong Sze Ling , Nyandoro Munyaradzi G. , Palicelli Andrea , Broggi Giuseppe , Koufopoulos Nektarios I. , Mangone Lucia , Cormio Angelo , Caltabiano Rosario , Neri Antonino , Fabozzi Massimiliano
Published: January 2025

Background and Objectives: Retroperitoneal laparoscopic adrenalectomy (RLA) is one of two laparoscopic procedures used to treat benign and malignant adrenal diseases. Obesity in patients undergoing minimally invasive adrenal surgery is a frequently discussed topic. Our meta-analysis aimed to provide updated evidence by comparing intraoperative and perioperative outcomes on non-obese (NOb) and obese (Ob) patients who underwent RLA due to benign or malignant disease. Materials and Methods: We performed a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed/MEDLINE, Scopus, Web of Science (Science and Social Science Citation Index), and Cochrane Library (Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials (CENTRAL)) databases were used to identify articles of interest. The meta-analysis was performed using RevMan [Computer program] Version 5.4. Results: The four included comparative studies (809 patients: 552 NOb versus 257 Ob) covered an approximately 15-year-study period (2007–2022). All the included studies were observational in nature. By comparing the Ob and NOb groups, shorter operative time and lower overall postoperative complication rates in the NOb population were recorded through the meta-analysis. Considering the subgroup analysis (BMI ≥ 30 kg/m2), just the operative time maintained statistical significance. Conclusions: Obesity did not appear to impact RLA safety and effectiveness. Due to important biases (small overall sample size and few analyzed events), the interpretation of our results must be a careful one. Later randomized and multi-center trials may help the confirmation of our results.
Impact of Microbiota on Irritable Bowel Syndrome Pathogenesis and Management: A Narrative Review
Authors: Almonajjed Mhd Bashir , Wardeh Mahdi , Atlagh Abdallah , Ismaiel Abdulrahman , Popa Stefan-Lucian , Rusu Flaviu , Dumitrascu Dan L.
Published: January 2025

Irritable bowel syndrome (IBS) is a prevalent gastrointestinal disorder, affecting 3–5% of the global population and significantly impacting patients’ quality of life and healthcare resources. Alongside physical symptoms such as abdominal pain and altered bowel habits, many individuals experience psychological comorbidities, including anxiety and depression. Recent research has highlighted the critical role of the gut microbiota in IBS, with dysbiosis, characterized by an imbalance in microbial diversity, frequently observed in patients. The gut–brain axis, a bidirectional communication network between the gut and central nervous system, plays a central role in the development of IBS symptoms. Although interventions such as probiotics, prebiotics, synbiotics, and fecal microbiota transplantation (FMT) have demonstrated potential in modulating the gut microbiota and alleviating symptoms, their efficacy remains an area of ongoing investigation. This review examines the interactions between the gut microbiota, immune system, and brain, emphasizing the need for personalized therapeutic strategies. Future research should aim to identify reliable microbiota-based biomarkers for IBS and refine microbiome-targeted therapies to enhance patient outcomes.
Realization of Intermolecular Interactions as a Basis for Controlling Pervaporation Properties of Membranes Made of Aromatic Polyamide-Imides
Authors: Kononova Svetlana V. , Gubanova Galina N. , Lebedeva Galina K. , Kruchinina Elena V. , Vlasova Elena N. , Popova Elena N. , Zakharova Natalya V. , Vylegzhanina Milana E. , Novozhilova Elena A. , Danilova Ksenia V.
Published: January 2025

New aromatic co-polyamide-imides (coPAIs) containing both carboxyl and hydroxyl groups in the repeating units were synthesized for the first time. Transport, thermal and morphological properties of dense nonporous membranes from PAIs obtained using the diacid chloride of 2-(4-carboxyphenyl)-1,3-dioxoisoindoline-5-carboxylic acid and diamines 5,5′-methylene-bis (2-aminophenol)) and 3,5-Diaminobenzoic acid, taken in molar ratios of 7:3, 1:1, and 3:7, have been studied. High levels of membrane permeability accompanied by high selectivity for mixtures of liquids with significantly different polarities were determined by realization of intra- and intermolecular interactions in polymer, which was proved by thermal analyses and hydrodynamic characteristics of coPAIs. This effect is discussed in the context of the effectiveness of intermolecular interactions between polymer chains containing carboxyl and hydroxyl functional groups.
Simultaneously Enhanced Permeability and Selectivity of Pebax-1074-Based Mixed-Matrix Membrane for CO2 Separation
Authors: Hou Rujing , Xie Junwei , Gu Yawei , Wang Lei , Pan Yichang
Published: January 2025

Membrane technology is a promising methodology for carbon dioxide separation due to its benefit of a small carbon footprint. However, the trade-off relationship between gas permeability and selectivity is one obstacle to limiting its application. Herein, branched polyethyleneimine (BPEI) containing a rich amino group was successfully grafted on the surface of the metal–organic framework (MOF) of AIFFIVE-1-Ni (KAUST-8) through coordination between N in BPEI and open metal sites in the MOF and with the resultant maintained BET surface area and pore volume. Both the strengthened CO2 solubility coefficients coming from the additional CO2 adsorption sites of amino groups in BPEI and the reinforced CO2 diffusivity coefficients originating from the fast transport channels created by KAUST-8 led to the promising CO2 separation performance for KAUST-8@BPEI/Pebax-1074 MMM. With 5 wt.% KAUST-8@BPEI loading, the MMM showed the CO2 permeability of 156.5 Barrer and CO2/N2 selectivity of 16.1, while the KAUST-8-incorporated MMM (5 wt.% loading) only exhibited the CO2 permeability of 86.9 Barrer and CO2/N2 selectivity of 13.0. Such enhancement is superior to most of the reported Pebax-1074-based MMMs for CO2 separation indicating a wide application for the coordination method for MOF fillers with open metal sites.
Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks
Authors: Azzaz Riadh , Jahazi Mohammad , Ebrahimi Kahou Samira , Moosavi-Khoonsari Elmira
Published: January 2025

The scrap-based electric arc furnace process is expected to capture a significant share of the steel market in the future due to its potential for reducing environmental impacts through steel recycling. However, managing impurities, particularly phosphorus, remains a challenge. This study aims to develop a machine learning model to estimate steel phosphorus content at the end of the process based on input parameters. Data were collected over one year from a steel plant, focusing on parameters such as the chemical composition and weight of the scrap, the volume of oxygen injected, injected lime, and process duration. After preprocessing the data, several machine learning models were evaluated, with the artificial neural network (ANN) emerging as the most effective. The Adam optimizer and non-linear sigmoid activation function were employed. The best ANN model included four hidden layers and 448 neurons. The model was trained for 500 epochs with a batch size of 50. The model achieves a mean square error (MSE) of 0.000016, a root mean square error (RMSE) of 0.0049998, a coefficient of determination (R2) of 99.96%, and a correlation coefficient (r) of 99.98%. Notably, the model was tested on over 200 unseen data points and achieved a 100% hit rate for predicting phosphorus content within ±0.001 wt% (±10 ppm). These results demonstrate that the optimized ANN model offers accurate predictions for the steel final phosphorus content.
Underlying Mechanisms of Chromatographic H/D, H/F, cis/trans and Isomerism Effects in GC-MS
Authors: Tsikas Dimitrios
Published: January 2025

Charge-free gaseous molecules labeled with deuterium 2H (D) atoms elute earlier than their protium-analogs 1H (H) from most stationary GC phases. This effect is known as the chromatographic H/D isotope effect (hdIEC) and can be calculated by dividing the retention times (tR) of the protiated (tR(H) ) to those of the deuterated (tR(D)) analytes: hdIEC = tR(H)/tR(D). Analytes labeled with 13C, 15N or 18O have almost identical retention times and lack a chromatographic isotope effect. Derivatives of cis- and trans-analytes such as cis- and trans-fatty acids also differ in their retention times. Analytes that contain trans-C=C-double bonds elute earlier in gas chromatography-mass spectrometry (GC-MS) than their cis-C=C-double bonds containing congeners. The chromatographic cis/trans-effect (ctEC) can be calculated by dividing the retention times of the cis- by those of the trans-analytes: ctEC = tR(c)/tR(t). In the present work, the hdIEC and ctEC values of endogenous and exogenous substances were calculated from previously reported GC-MS analyses and found to range each between 1.0009 and 1.0400. The examination suggests that the H/D-isotope effects and the cis/trans-effects observed in GC-MS are based on differences in the inter-molecular interaction strengths of the analyte derivatives with the stationary phase of GC columns. The deuterium atoms, being larger than the H atoms of the analytes, attenuate the interaction of the skeleton of the molecules with the GC stationary phase. The angulation of trans-analytes decreases the interaction of the skeleton of the molecules with the GC stationary phase, as only parts of the molecules are close enough to the GC stationary phase to interact. Other chromatographic effects caused by hydrogen (H) and fluorine (F) atoms and by stereo-isomerism are considered to be based on a similar mechanism due to the different orientation of the side chains.
Metabolomic Profiling Reveals Potential Biomarkers and Prominent Features in HIV/AIDS Patients Co-Infected with SARS-CoV-2
Authors: Yan Xuan , Zhang Xinyu , Song Wei , Qi Tangkai , Wang Zhenyan , Tang Yang , Sun Jianjun , Xu Shuibao , Yang Junyang , Wang Jiangrong , Chen Jun , Zhang Renfang , Liu Li , Shen Yinzhong
Published: January 2025

The underlying mechanisms and diagnostic biomarkers for the progress of COVID-19 in HIV patients have not been fully elucidated. In this study, the aim is to analyze the metabolomic profiles of HIV/AIDS patients co-infected with SARS-CoV-2 and to identify biomarkers indicative of co-infection. In this study, we conducted a retrospective cohort analysis of peripheral blood samples collected from 30 HIV/AIDS patients co-infected with SARS-CoV-2 (pc group) and 30 patients without SARS-CoV-2 (nc group). In this study, through non-targeted metabolomics and lipidomics analysis, 77 differential metabolites were identified in the plasma of patients co-infected with HIV and SARS-CoV-2 compared to the nc group, with vitamin K1 emerging as a significant feature. Moreover, the plasma of the pc group showed disturbances in lipid metabolism, with elevated triglycerides (TG) and phosphatidylcholine (PC) and decreased phosphatidylglycerol (PG) compared to the control group. Vitamin K1 may be a biomarker for SARS-CoV-2 in HIV/AIDS patients, and changes in the levels of TG, PC, and PG molecules appear to be the main features following HIV co-infection with COVID-19. The emphasis in our study is on the power of using comprehensive metabolomics (lipidomics) approaches to identify metabolic biomarkers and potential mechanisms of COVID-19 in HIV/AIDS patients.
The Source and Significance of Silicon in the Late Permian Dalong Formation, Northeastern Sichuan Basin
Authors: Ge Xiaotong , Ge Xun , Chen Daizhao , Liu Yali , Wang Ruyue , Li Min
Published: January 2025

The Late Permian was a critical interval in geological history, during which dramatic changes occurred in the Earth’s surface system, and a set of black rock series rich in organic matter and silicon, the Dalong Formation, was deposited in the northeastern Sichuan Basin. We conducted a detailed sedimentological and petrological investigation integrated with (major and trace) element contents in the deep-water sequence of the Xibeixiang and Jianfeng sections. It demonstrates the source of silicon, tectonic background, and sedimentary environment of the Dalong Formation, and explores the influence of hydrothermal activities on organic matter enrichment. The results show that the upper part of the Dalong Formation contained more radiolarians in the Xibeixiang section compared to the Jianfeng section. Hydrothermal proxies such as Eu/Eu*, Al-Fe-Mn diagram, Al/(Al + Fe + Mn), and LuN/LaN suggest a biotic origin for the chert in the Dalong Formation in the Xibeixiang and Jianfeng sections, while the Xibeixiang section was slightly affected by hydrothermal activities. The La-Th-Sc diagram and the La/Sc and Ti/Zr crossplots point to a continental island arc and active continental margin origins for the Xibeixiang and Jianfeng sections. Combined with previous research, the silicon of the Dalong Formation in the northeastern Sichuan Basin is mainly derived from biological sources. The Xibeixiang section was affected by a small amount of hydrothermal fluid due to its proximity to the Paleo-Tethys Ocean and continental island arcs. Furthermore, the enrichment of organic matter was predominantly driven by high productivity, with minimal impact from hydrothermal activities. These insights hold significant research value and practical implications for shale gas exploration in the Sichuan Basin.