bluuebunny/crossref_metadata_2025 huggingface dataset:
SafeMD:Ownership-based Safe Memory Deallocation for C Programs
Authors: Yin Xiaohua , Huang Zhiqiu , Kan Shuanglong , Shen Guohua
Published: October 2024

Rust is a relatively new programming language that aims to provide memory safety at compile time. It introduces a novel ownership system which enforces automatic deallocation of unused resources without using the garbage collector. In light of Rust's promise of safety, a natural question arises about the possible benefits of exploiting ownership to ensure memory safety of C programs. In our previous work, we developed a formal ownership checker to verify whether a C program follows ownership constraints. A C program that satisfies the ownership constraints is free of dangling pointers. In this paper, we further propose a static ownership-based safe memory deallocation approach, named SafeMD, to ensure memory-leak free in the C programs that satisfy ownership constraints defined in prior formal ownership checker. Benefitting from the C programs satisfying ownership constraints, SafeMD obviates alias and inter-procedural analysis during the finding of fixing patches. Also, the patches generated by SafeMD make the input C programs still satisfy ownership constraints. Usually, a C program that satisfies the ownership constraints is safer than its normal version. Our evaluation shows that SafeMD is effective in fixing memory leaks of C programs that satisfy ownership constraints.
Recurrent Lower Urinary Infection in Diabetic and Non Diabetic Patients: Retrospective Analysis on the Effect of a Multi-Strain Probiotic (vsl#3) plus Rifaximin as Prophylaxis
Authors: PERRELLA ALESSANDRO , LANZA ALFONSO , DI MICCO PIERPAOLO , SARNO MARINA , DI FLUMERI GIUSY , TRAMA UGO , BERNARDI FRANCESCA FUTURA , MAFFETTONE ADA
Published: October 2024

Lower urinary tract infections (L-UTIs) represent a significant clinical concern, particularly in outpatient follow-up settings within internal medicine and infectious disease practices. L-UTIs have been shown to correlate with elevated glycate-haemoglobin levels in patients with diabetes, highlighting the need for targeted interventions in this population. We hypothesized that the incidence of L-UTIs could be reduced through a prophylactic regimen combining probiotics and rifaximin, both known for their potential benefits in maintaining gut health and controlling bacterial overgrowth.
In a retrospective cohort study involving 350 patients, including 155 individuals with diabetes (Group A) and 195 without diabetes serving as a control group (Group B), we evaluated the effectiveness of prophylaxis strategy. Over an 18-month follow-up period, we observed that the use of rifaximin combined with a multi-strain probiotic was associated with a statistically significant reduction in L-UTI episodes in both groups. Notably, this reduction was more pronounced in diabetic patients (Group A), suggesting that this population may benefit more from the prophylaxis regimen due to their higher baseline risk of infection.
These findings support the potential efficacy of rifaximin and probiotics as a preventive strategy against L-UTIs, particularly in diabetic patients who are more susceptible to these infections. Further research is warranted to better understand the underlying mechanisms and to refine this approach, but these initial results indicate a promising avenue for reducing L-UTI burden in at-risk populations.
Interface Synergistic Effect of NiFe-LDH @ 3D GA Composites towards Efficient Electrocatalytic Water Oxidation
Authors: Guo Xiaohui , Zhang Jiangcheng , Cao Qiuhan , Yu Xin , Yao Hu , Su Baolian
Published: October 2024

Currently, NiFe-LDH exhibits excellent oxygen evolution reaction (OER) due to the interaction of the two metal elements on the LDH platform. However, such interaction is still insufficient to compensate for its poor electrical conductivity, limited active sites and sluggish dynamics. Herein, a feasible two-step hydrothermal strategy is proposed by coupling low-conductivity NiFe-LDH with 3D porous graphene aerogel (GA). Consequently, the optimized NiFe-LDH/GA (1:1) possess a 257 mV (10 mA cm-2) overpotential and could continuously operate for 56 h in OER. Our investigation validates that the NiFe-LDH/GA has a three-dimensional mesoporous structure, synergistic interaction between LDH and GA, and interfacial reconstruction of NiOOH. Such interface synergistic coupling effect promotes fast mass transfer and facilitates OER kinetics, and this work offers new sights into designing efficient and stable GA-based electrocatalysts.
Recent Progress of Antisense Oligonucleotide Therapy for Superoxide Dismutase 1-mutated Amyotrophic Lateral Sclerosis: Focus on Tofersen
Authors: Moriyama Hidenori , Yokota Toshifumi
Published: October 2024

Amyotrophic lateral sclerosis (ALS) is a refractory neurodegenerative disease characterized by the de-generation and loss of motor neurons, leading to death within five years of onset. There have been few effective treatments, making the development of robust therapies an urgent challenge. Genetic mutations have been identified as contributors to ALS, with mutations in superoxide dismutase 1 (SOD1), which neutralizes the harmful reactive oxygen species superoxide, accounting for approximately 2% of all ALS cases. To counteract the toxic gain of function caused by SOD1 mutations, therapeutic strategies aimed at suppressing SOD1 gene expression have shown promise. Antisense oligonucleotide (ASO) is an arti-ficially synthesized short single-stranded DNA/RNA molecule that binds to target RNA to alter gene expression, representing a next-generation therapeutic approach. In 2023, tofersen became the first ASO drug approved by the FDA for ALS. Administered intrathecally, tofersen specifically binds to SOD1 mRNA, inhibiting the production of toxic SOD1 protein, thereby improving biomarkers of ALS. The long-term efficacy and safety of tofersen require further validation, and the development of more opti-mized treatment protocols is essential. A series of studies and therapeutic developments related to SOD1 mutations have advanced the understanding of ALS pathophysiology and significantly contributed to treatment strategies for central nervous system disorders. This review focuses on the overview of SOD1 mutations and the development process of tofersen, aiming to deepen the understanding of advancements in ALS research and discuss future challenges and directions for ASO therapy.
Have Specific Composition Diets Been Shown to Be Effective in Reducing Symptoms of Immune-Mediated Inflammatory Diseases in Adulthood, and Could the Comparison Between Them Be Improved? Rapid Review
Authors: Guerrero Aznar M Dolores , Villanueva Guerrero M Dolores , Beltrán García Margarita , Hernández Cruz Blanca
Published: October 2024

Diet is considered a possible cofactor that affects the immune system and potentially could cause dysregulation of intestinal homeostasis and inflammation. This study aimed to review the evidence on specific diet composition effects on some immune-mediated inflammatory diseases (IMID) -rheumatoid arthritis (RA), psoriatic arthritis, spondyloarthritis, multiple sclerosis (MS), Inflammatory bowel disease (IBD) [remission maintenance of Crohn´s disease and ulcerative colitis] and psoriasis- symptoms in adult patients. We conducted a rapid review of meta-analyses and Cochrane systematic reviews using PubMed, EMBASE, from inception to September 2024, and Google Scholar. The methodological quality of meta-analyses was assessed using AMSTAR 2 rating. Three COCHRANE systematic reviews and eight meta-analyses
Some specific composition diets have been shown to reduce symptoms in RA, IBD, and MS; and improve some activity parameters in IBD and RA; with critically low, or low levels of evidence. The reduction in inflammatory biomarker levels is unclear. This review updates the global dietary evidence to improve IMID symptoms, discusses the influences of dietary mechanisms, clarifies the weaknesses of clinical trials and dietary meta-analyses, with critically low, or low levels of evidence, and shows the need to use indexes such as DII, that allow diets to be classified for their content of pro-inflammatory or anti-inflammatory foods, to better compare diet groups in clinical trials. The difficulty in obtaining high-level evidence in dietary studies is apparent, which may delay the application of the results.
Urban Heritage Resilience 3.0 An Integrated and Operationable Definition from the SHELTER and ARCH Projects
Authors: Ripp Mathias , Egusquiza Aitziber , Lückerath Daniel
Published: October 2024

Resilience, initially a concept rooted in psychology, has traversed disciplinary boundaries, finding application in fields such as urban planning and development since the 2010s. Despite its broad application, most definitions remain too abstract to allow their practical integration into urban planning and development contexts. Addressing this challenge, the H2020 projects SHELTER and ARCH offer a practicable integration of resilience with planning and development practices surrounding urban heritage. Following a systemic approach to resilience, both projects integrate perspectives from urban development, climate change adaptation, disaster risk management, and heritage management, supported with tools and guidance to anchor resilience in existing practices. This paper presents the results from both projects, including similarities and differences.
The COVID-19 Pandemic's Impact on Eating Disorders: an Italian Residential Center Perspective
Authors: Monaco Francesco , Vignapiano Annarita , Landi Stefania , Palermo Stefania , Caputo Annaluce , Forte Ilona , Boccia Antonella , Longobardi Anna , Di Pierro Marilena , Panarello Ernesta , Mainardi Annarita , Bonifacio Rossella , Ferrara Emanuela , Marenna Alessandra , Piacente Martina , Steardo jr Luca , Meneguzzo Paolo , Cozzolino Mauro , Corrivetti Giulio
Published: October 2024

Background/Objectives: The COVID-19 pandemic has had a profound impact on mental health worldwide, especially exacerbating Eating Disorders (EDs). This study aims to evaluate changes in the presentation and severity of EDs before and after the pandemic at the Regional Residential Center "Mariconda" in Salerno. Methods: This retrospective cohort study analyzed data from 162 patients admitted to the Regional Residential Center "Mariconda" between December 2018 and December 2023. The onset of pandemic restrictions in mid-2020 was the dividing line for the pre-COVID and post-COVID groups. Demographic and clinical data were collected, including age, gender, education level, previous hospital admissions, admission diagnosis, body mass index (BMI), and comorbidity with other psychiatric illnesses. Results: Of the 162 subjects, 115 were admitted post-pandemic. The post-pandemic group was significantly younger, had lower education levels, more frequent previous hospitalizations, and a higher frequency of severe comorbidity with other mental illnesses compared to the pre-COVID group. No significant differences were found between the groups regarding gender distribution, initial diagnosis upon admission, average and length of hospital stay. Conclusion: The COVID-19 pandemic has exacerbated the presentation and severity of EDs, particularly among younger individuals with lower educational attainment. These findings underscore the urgent need for targeted, integrated treatment approaches for EDs, especially global crises. Further research is essential to understand the long-term effects of the pandemic on EDs and to refine treatment strategies to better support affected individuals.
Comparative Research on Laminar Flame Propagation for Four C8 Fuels
Authors: Meng Xin , Liu Shuai , Tian Jing , Li Ruina , Sun Tao
Published: October 2024

Experimental studies and numerical analyses were conducted to estimate the laminar flame speeds of butyl ether, n-octane, iso-octane, and 1-octene at temperatures of 373 and 443 K and pressures ranging from 0.03 to 0.3 MPa in a constant-volume combustion chamber. Iso-octane had the slowest laminar flame speed whereas butyl ether had the highest. The LLNL model for large hydrocarbons and the Cai model for butyl ether were combined to describe the chemical kinetic mechanism for the test fuels. The simulation data calculated with the constructed model agree with the experimental data. The discrepancies in the laminar flame speeds of the four fuels were clarified from the perspectives of thermodynamics, diffusion, and chemical kinetics. The results reveal that the thermodynamics and chemical kinetics were dominant. Butyl ether had the highest laminar flame speed. This was attributed to it having the highest adiabatic flame temperature and a higher concentration of H and OH radicals, which have a high reactivity in a flame. Iso-octane produces the highest concentration of CH3, which inhibits flame propagation, so that it had the slowest laminar flame speed.
Integrating Remote Sensing, GIS, AI, and Machine Learning for Natural Resource Management: Comparative Analysis of Tools and the Critical Role of In‐Situ Validation Data
Authors: Sharma Sanjeev , Beslity Justin O. , Rustad Lindsey , Shelby Lacy J , Manos Peter T , Khanal Puskar , Reinmann Andrew B. , Khanal Churamani
Published: October 2024

Remote sensing (RS) and Geographic Information Systems (GIS) provide significant opportunities for monitoring and managing natural resources across various temporal, spectral, and spatial resolutions. There is a critical need for natural resource managers to understand the expanding capabilities of image sources, analysis techniques, and in-situ validation methods. This article reviews a range of image analysis tools applicable to natural resource management, including agriculture, water, forests, soil, and natural hazards, and compares their functionalities. Our study highlights that Google Earth Engine (GEE) is favored for wide-area analysis due to its extensive coverage and free access. Global Mapper excels in 3D and light detection and ranging (LIDAR) data, environment for visualizing images (ENVI) specializes in multi- and hyperspectral image processing, ERDAS IMAGINE is optimal for radar data, and eCognition is used for object-based image analysis. The article emphasizes the importance of in-situ validation data, which provides essential ground truth information to calibrate and validate RS models, thereby enhancing accuracy. Understanding these tools and integrating them with in-situ validation techniques enables natural resource managers to improve their monitoring and decision-making processes, facilitating effective collaboration with RS researchers.
Exploring App-Based Physiotherapy for Somatic Tinnitus: Results from a Pilot Study
Authors: Michiels Sarah , Wölflick Stella , Simoes Jorge Piano , Schlee Winfried
Published: October 2024

Background: Somatic tinnitus (ST) is a type of tinnitus that is influenced by changes in somatosensory input from the cervical spine or temporomandibular area. Although traditional physiotherapy has been shown to reduce ST symptoms, in-clinic treatment is not always available, and adherence to home exercise programs is often low. This study aims to investigate the effectiveness of an app-based physiotherapy program to enhance compliance and availability of treatment for ST patients. Methods: This pilot randomized controlled trial included 38 adult patients with chronic somatic tinnitus. Participants were randomly assigned to a treatment group receiving a 9-week app-based cervical spine exercise program or a control group. The primary outcome was tinnitus distress measured using the Tinnitus Handicap Inventory (THI). As a secondary outcome we the Mini-Tinnitus Questionnaire (Mini-TQ). Results: Participants in the treatment group showed significant reductions in tinnitus distress, with a large effect size for both the THI and Mini-TQ (Cohen’s d = 1.71 and 1.02, respectively). The control group showed no significant changes. Conclusion: This study provides evidence that an app-based physiotherapy intervention is a feasible and effective treatment for ST. Further research with larger sample sizes, comparisons to traditional in-clinic treatments is needed to confirm these findings. Additional studies on personalized treatment might further improve the treatment.
Canine Multiple System Degeneration Associated with Sequence Variants in SERAC1
Authors: Zeng Rong , Guo Juyuan , Bullock Garrett , Johnson Gary S. , Katz Martin L
Published: October 2024

Canine Multiple System Degeneration (CMSD) is an early onset, progressive movement disorder affecting Kerry Blue Terriers and Chinese Crested dogs. The associated pathologic lesions include degeneration of the cerebellum, caudate nucleus and substantia nigra. CMSD is inherited as an autosomal recessive trait in both dog breeds. Previous linkage mapping localized the CMSD locus to a 15 MB region on canine chromosome 1 (CFA1). Next generation sequencing was used to generate whole genome sequences from DNA of an affected dog from each breed. The resulting sequence reads were aligned to the NCBI canine reference genome (build 3.1). Among the homozygous sequence variants within the CFA1 target region, a nonsense variant in exon 15 of SERAC1 was identified in the affected Kerry Blue Terrier, while in the Chinese Crested dog, a 4 bp deletion in the SERAC1 exon 4 acceptor splice site was found. RT-PCR showed that this deletion resulted in exon 4 skipping. Genotyping of large cohorts of Kerry Blue Terriers and Chinese Crested dogs for the respective breed-specific SERAC1 variants showed complete concordance between genotype and disease phenotype. Genotype-phenotype concordance was also observed in offspring generated by cross breeding between SERAC1-heterozygous Kerry Blue Terrier and Chinese Crested dogs, with only the compound heterozygotes exhibiting the disease phenotype, further confirming the recessive inheritance of CMSD. Variants in human SERAC1 are associated with disorders with a range of ages of disease onset and patterns of clinical signs, but that are all characterized by movement abnormalities similar to those of the dogs with CMSD. Canine CMSD could serve as a valuable model to elucidate the mechanisms underlying SERAC1-deficiency disorders and to evaluate potential therapeutic interventions.
Modeling and Simulation of Fatigue Crack Initiation Process Based on Field Theory of Multiscale Plasticity (FTMP)
Part I: PSB Ladder Formation and Verification
Authors: Xinping You , Hasebe Tadashi
Published: October 2024

In this study, we successfully reproduced the PSB with laddered patterning, showcasing the predictive capability of the framework of Field Theory of Multiscale Plasticity (FTMP), without relying on ad hoc models, intricate mathematical models, or elaborate finite element discretization. The FTMP-incorporated CP-FEM simulation not only reasonably replicates the experimentally observed laddered morphology and PSB but also effectively simulates surface roughening and grooving, independent of vacancy formation and diffusion. These results highlight the significance of laddered morphology and set the stage for further investigations into the effects of vacancy formation in future studies in Part II. Leveraging incompatibility tensor-based degrees of freedom, the FTMP framework offers exceptional capabilities for natural modeling dislocation substructures typically overlooked in conventional approaches, positioning it as a transformative tool for advancing our understanding of the mechanism that dictate slip band-fatigue crack transitions.
Power Quality State Estimation for Distribution Grids Based on Physics-Aware Neural Networks - Harmonic State Estimation
Authors: Mack Patrick , de Koster Markus , Lehnen Patrick , Waffenschmidt Eberhard , Stadler Ingo
Published: October 2024

In the transition from traditional electrical energy generation with mainly linear sources to increasing inverter-based distributed generation, electrical power systems’ power quality requires new monitoring methods. Integrating a high penetration of distributed generation, which is typically located in medium- or low-voltage grids, shifts the monitoring tasks from the transmission to distribution layers. Compared to high-voltage grids, distribution grids feature a higher level of complexity. Monitoring all relevant buses is operationally infeasible and costly. State estimation methods provide knowledge about unmeasured locations by learning a physical system’s non-linear relationships. This article examines a new flexible, close-to-real-time concept of harmonic state estimation using synchronized measurements processed in a neural network. A physics-aware approach enhances a data-driven model, taking into account the structure of the electrical network. An OpenDSS simulation generates data for model training and validation. Different load profiles for both training and testing were utilized to increase the variance in the data. The results of the presented concept demonstrate high accuracy compared to other methods for harmonic orders 1 to 20.
Epithelia of the Penile Urethra
Authors: Duval Matisse , Brownell David , Chabaud Stéphane , Laungani Alexis , Philippe Eric , Bolduc Stephane
Published: October 2024

Objectives: The male urethra is a complex structure that plays a critical role in genitourinary health and function. Despite its importance, histological descriptions of the penile urethra, par-ticularly its epithelial components, remain incomplete. This study offers a comprehensive his-tological analysis of the penile urethra, focusing on the epithelium across distinct anatomical regions, including the glans, distal and proximal fossa navicularis, and spongy urethra. Meth-ods: Utilizing four human penile specimens, we employed various staining techniques to eluci-date the structural characteristics of these epithelial tissues. Results: Our findings reveal notable variations in epithelial composition, such as the presence of glycogen-rich cells in the distal fos-sa navicularis and the presence of mucous glands in the spongy urethra and proximal fossa na-vicularis. Additionally, we identified a previously underreported valvule-like structure in the distal fossa navicularis in two of the specimens. Conclusions: This study provides new insights into the histological organization of the penile urethra, offering critical reference data that can enhance our understanding of urethral pathologies and improve the outcomes of surgical inter-ventions, particularly in the context of tissue engineering and reconstructive surgery.
Development of Sustainability Competencies in Secondary School Education. A Scoping Literature Review
Authors: Sposab Kate , Rieckmann Marco
Published: October 2024

This scoping review explores the development and application of sustainability competence frameworks in secondary education globally, identifying key trends and challenges within the field. An initial sample of 2,659 peer-reviewed publications from 2003 to 2023 was subjected to a rigorous multi-stage screening process, refining the selection for in-depth analysis. Through qualitative clustering, the review identifies two primary perspectives on sustainability competencies. The first emphasizes transversal competencies, relevant across diverse educational settings, including national policies, global educational guidelines, various subject domains, and innovative teaching-learning approaches. The second perspective focuses on specific frameworks that address the cognitive, affective, and behavioral dimensions of sustainability. The review highlights a global consensus on the importance of key competencies such as critical thinking, systems thinking, and action competence, which are essential for preparing secondary students to tackle sustainability challenges. Additionally, it stresses the need for a holistic approach to competence development that integrates cognitive, affective, and behavioral aspects. Despite this consensus, the review reveals a research bias, with a predominance of studies from Europe, particularly Germany and Sweden, and calls for increased regional diversity and collaboration in future research.
Evaluating the Impact of Database and Data Warehouse Technologies on Organizational Performance: A Systematic Review
Authors: Maswanganyi Nyiko G. , Fumani Nyiko M. , Khoza Johannes K. , Thango Bonginkosi A. , Matshaka Lerato
Published: October 2024

In recent years of technological advancements, the digitization of information has become a crucial factor for the growth and sustainability of small and medium-sized enterprises (SMEs), particularly in developing countries. These enterprises face a growing problem in accessing IT resources due to financial and lack of qualified IT personnel in their regions. This led to a growing interest in database and data warehouse technologies, which serve as foundational tools for organizing, storing, and analyzing vast amounts of data. This systematic review proposes to evaluate the impact of database and data warehouse technologies on organizational performance by employing the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, this review thoroughly synthesizes existing literature to identify the key benefits and challenges associated with the adoption of these technologies in SMEs. The proposed inclusion criteria were bounded by (1) publication date between 2014 and 2024, (2) research written in English, (3) research work focusing on evaluating the impact of database and data warehouse technologies on organizational performance, (4) research with a clear evaluation analysis of database and data warehouse technologies research framework. Following these guidelines, 150 eligible research studies were included. The analysis reveals a wide range of findings concerning the impact of database and data warehouse technologies. Key results include the identification of cost-efficiency trends, improvements in decision-making processes, enhancements in customer relationship management, and gains in operational efficiency. The findings provide actionable guidance for SMEs, policymakers, and IT professionals seeking to leverage these technologies to enhance organizational performance. To the best of our knowledge, this systematic review offers a comprehensive analysis that fills a gap in the existing literature on the impact of these technologies on organizational outcomes.
Prediction of Syngas Composition During Gasification of Lignocellulosic Waste Mixtures
Authors: Muñoz-Huerta Carlos Andrés , Jiménez-García Gladys , Hernández-Pérez Luis Germán , Maya-Yescas Rafael
Published: October 2024

Avoiding global dependence on fossil oils, as well as improving the environmental impact during energy production, are factors that drive research into renewable energies. Considering lignocellulosic biomass residues as a raw material for gasification, a thermochemical process that converts lignocellulosic resources into synthesis gas (H2, CO, CH4 and CO2) is an alternative under study, due to its relatively low costs, high efficiency and the wide variety of applications of synthesis gas. Fortunately, there are still fields for its improvement and technological development. Gasification, for example: Different types of lignocellulosic biomass, such as sugarcane bagasse, wheat straw, pine sawdust or corn cob, differ in their physical, chemical and morphological properties, which can affect the characteristics of the gasification process. This work uses the methodology of generalized stoichiometry and mass and atomic balances in the gasification reactor, to predict the composition of syngas produced by gasification of both individual substrates and mixtures. The results provide useful information for the design and operation of gasification reactors, with their operating region between 2.0 bar and 4.5 bar, and 1024 K and 1224 K, understanding the effects of different types of biomasses, its humidity and molecular weight on the operation and performance of the process.
Multilayer Nanocarrier for Codelivery of Interferons: A Promising Strategy for Biocompatible and Long-Acting Antiviral Treatment
Authors: Ramos Thelvia I. , Villacis-Aguirre Carlos A. , Sandoval Felipe Sandoval , Martin-Solano Sarah , Manrique-Suárez Viana , Rodríguez Hortensia , Santiago-Padilla Leandro , Debut Alexis , Gómez-Gaete Carolina , Arias Marbel Torres , Montesino Raquel , Lamazares Emilio , Cabezas Ignacio , Hugues Florence , Parra Natalie C. , Altamirano Claudia , Ramos Oliberto Sánchez , Santiago-Vispo Nelson , Toledo Jorge R.
Published: October 2024

Interferons (IFNs) are cytokines involved in the immune response with synergistic regulatory action. They are therapeutics for various viral and proliferative conditions, with proven safety and efficacy. Their clinical application presents difficulties due to the molecules' size, degradation, and pharmacokinetics. We developed a controlled release system for viral respiratory tract infections. A core-shell nanoparticle was prototyped, which hydrolyzed the shell (polyvinylpyrrolidone), releasing the active ingredients IFN-α and IFN-γ. The core (chitosan) degraded slowly, with a controlled release of IFN-α. The primary and rapid effect of the combination of interferons ensured an antiviral and immunoregulatory response from day one, induced by IFN-α and enhanced by IFN-γ. The multilayer design demonstrated an optimal toxicity profile. This formulation is an inhaled dry powder targeted for the non-invasive intranasal route. This prototype would ensure greater bioavailability, controlled release, fewer adverse effects, and robust biological action thanks to the simultaneous impact of both molecules.
High-Resolution Spaceborne SAR Geolocation Accuracy Analysis and Error Correction
Authors: Li Facheng , Zeng Qiming
Published: October 2024

High-accuracy geolocation is crucial for high-resolution spaceborne SAR images. Most advanced SAR satellites have better theoretical geolocation accuracy than 1 meter but maybe unrealizable with less accurate external data, including the atmospheric parameters and the ground elevations. To investigate the actual SAR geolocation accuracy in common applications, we analyze the properties of different geolocation errors, propose a set of geolocation procedures, and conduct experiments on TerraSAR-X images and a pair of Tianhui-2 images. The results show that based on GNSS elevations, the geolocation accuracy is better than 1 meter for TerraSAR-X and 2 meters / 4 meters for the Tianhui-2 reference / secondary satellite. Based on the WorldDEM and the SRTM, an extra geolocation error of 2 and 4 meters will be introduced, respectively. By comparing the effectiveness of different tropospheric correction methods, we find that the GACOS mapping method has advantages in terms of resolution and computational efficiency. We conclude that the tropospheric error and the ground elevation error are the primary factors influencing the geolocation accuracy, and the key to improving accuracy is to use higher-accuracy DEMs. Additionally, we propose and validate a geolocation model for the Tianhui-2 secondary satellite.
Predicting Employee Turnover in the Financial Company: A Comparative Study of CatBoost and XGBoost Models
Authors: Yin Ziqing , Hu Baojun , Chen Shuhan
Published: October 2024

Employee turnover is a significant issue for financial institutions, impacting productivity, increasing recruitment costs, and disrupting critical operations. In this project, this study aimed to predict employee turnover using a dataset containing attributes such as employee satisfaction, performance, and tenure. By framing the task as a binary classification problem, this study employed CatBoost and XGBoost, two advanced regression-based algorithms, to develop predictive models. This paper's analysis demonstrated that CatBoost outperformed XGBoost across all evaluation metrics, including MAE, MSE, RMSE, and R², making it the more effective model for predicting turnover in the financial sector. The study highlights key factors contributing to employee attrition, such as job satisfaction, tenure, and promotion opportunities, offering actionable insights for retention strategies. Additionally, by predicting probabilities rather than binary outcomes, this study aims to make more detailed decisions about employee retention. This research provides valuable tools for financial institutions to mitigate the risk of turnover, retain critical talent, and ensure operational continuity.
Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Self-Calibration Algorithm
Authors: Tian Kaiqiao , Cheok KaC , Radovnikovich Micho , Kobayashi Kazuyuki , Cai Changqing
Published: October 2024

Lidar and camera sensors are widely utilized in autonomous vehicles (AVs) and robotics due to their complementary sensing capabilities—lidar provides accurate depth information, while cameras capture rich visual data. However, effective fusion of these sensors requires precise calibration, which is often challenging due to the differences in sensing modalities. This paper presents a self-calibration algorithm based on Singular Value Decomposition (SVD) to address this problem. Singular Value Decomposition is a powerful matrix factorization technique that helps identify key calibration parameters by decomposing matrices into singular vectors and values, representing essential calibration data. Our method not only automates the calibration process but also provides a reliable mechanism for detecting calibration errors, ensuring long-term accuracy and robustness in sensor fusion. The algorithm simplifies deployment in real-world applications by eliminating the need for manual calibration or external targets. Experimental results show that our approach improves sensor alignment and fusion accuracy, making it particularly useful for AV and robotic systems where maintaining precise calibration is critical.
Functions of TAM Receptors and Their Ligands Protein S and Gas6 in Atherosclerosis and Cardiovascular Disease
Authors: Prouse Teagan , Majumder Samarpan , Majumder Rinku
Published: October 2024

Atherosclerosis and cardiovascular disease are associated with high morbidity and mortality in industrialized nations. The Tyro3, Axl, and Mer (TAM) family of receptor tyrosine kinases is involved in amplification or resolution of atherosclerosis pathology and other cardiovascular pathology. The ligands of these receptors, Protein S (PS) and growth arrest specific protein 6 (Gas6), are essential for TAM receptor functions in amplification and resolution of atherosclerosis. The Axl-Gas6 interaction has various effects on cardiovascular disease. Mer and PS dampen inflammation, thereby protecting against atherosclerosis progression. Tyro3, the least studied TAM receptor in cardiovascular disease, appears to protect against fibrosis in post-myocardial infarction injury. Ultimately, PS, Gas6, and TAM receptors present an exciting avenue of potential therapeutic targets against inflammation associated with atherosclerosis and cardiovascular disease.
Molecular Networking from Volatilome of Theobroma grandiflorum (Copoazu) at Different stages of Maturation Analyzed by HS-SPME-GC-MS
Authors: Valencia Mayrin , Pérez-Beltrán Mónica , López Gerson-Dirceu , Carazzone Chiara , Galeano Garcia Paula
Published: October 2024

Theobroma grandiflorum (copoazu) is a plant native to South America that is cultivated in countries within the Amazon region. Its phytochemical composition imparts characteristic organoleptic properties, making it an exotic fruit. In this study, headspace solid-phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry (GC-MS) was employed to identify the volatile organic compounds (VOCs) produced by copoazu. Initially, optimal sample pretreatment conditions were determined using a design of experiments (DoE) approach. Analysis of the volatile profiles enabled the identification of 103 copoazu VOCs during three ripening stages. 97 VOCs were classified based on their chemical compound families using spectral correlation analysis in different libraries and databases, as well as their molecular networks. Additionally, a volatilomic analysis was conducted to study the variation in VOCs in the three ripening stages of copoazu. Through molecular network analysis, it was determined that the VOCs emitted by the fruit are correlated with the interconversion of compounds, which is observed when studying the metabolic pathways. The results provide a detailed analysis of the copoazu volatilome and will provide insight into the organoleptic characteristics of this Amazonian fruit. Esters and terpenes such as α-terpineol, β-pinene, linalool, 2-methylbutyl butanoate, 3-methylbut-2-enoic acid, 2-methylpentyl ester, ethyl 4-methylpentanoate, vinyl acetate, isobutyl hexanoate among others were found as potential biomarkers in the copoazu ripening process.
Factors Influencing Nurses’ Decisions to Leave or Remain in the Home and Community Care Sector During the COVID-19 Pandemic
Authors: Connelly Denise M , Guitar Nicole A , Van Belle Travis A , McKay Sandra M , King Emily C
Published: October 2024

Background/Objectives: Home and community care (HCC) nurses experienced increased occupational challenges during the COVID-19 pandemic including increased workloads, job stressors and occupational risks like virus exposure. The objective was to elucidate what factors influenced nurses’ decisions to stay in their role, take a temporary leave, or exit HCC during the COVID-19 pandemic.
Methods: A secondary analysis of data collected using a cross-sectional online open survey distributed among HCC Registered Practical Nurses across Ontario between June and September 2022 was conducted. The factors contributing to nurses’ decision to remain in HCC, temporarily leave, or exit the sector were evaluated using multinomial logistic regression (p < 0.05).
Results: Of the 664 participants, 54% (n=357) stayed in the HCC sector, 30% (n=199) temporarily left, and 16% (n=108) exited the sector. Nurses with greater years of experience working in HCC and those who avoided infection were more likely to stay in their role in HCC, which may reflect strong relationships with long-term clients, opportunity and accumulated experience to increase income, and maintained good health. Nurses with higher levels of emotional intelligence were more likely to take leaves and exit HCC, suggesting that stepping away may have been a strategy to safeguard themselves.
Conclusions: HCC leadership should prioritize the development of solutions to support nurses in the HCC workforce, including those with fewer years’ experience. This may promote nurses’ participation in the sector, particularly during times of heightened occupational challenges and crises like COVID-19.
Computational Fluid Dynamic Optimization of Micropatterned Surfaces: Towards Biofunctionalization of Artificial Organs
Authors: He Wenxuan , Ibrahim Aminat M. , Karmakar Abhishek , Tuli Shivani , Butcher Jonathan , Antaki James F.
Published: October 2024

Modifying surface topography to prevent surface-induced thrombosis in cardiovascular implants allows endothelialization, which is the natural thrombo-resistance of the blood-contacting surfaces and is deemed to be the only long-term hemocompatible material. We have adapted a simulation framework to predict platelet deposition on the modified surface and developed an optimization strategy to promote endothelial retention and limit platelet deposition. Under supraphysiological bulk shear stress, a maximum of 79% linear coverage was achieved. This study concludes that the addition of microtrenches promotes endothelial retention and can be improved through optimal selection of geometric parameters.
Differential Effects of High-Energy Diet Consumption on Body Composition, Gut Microbiota, and Inflammatory Markers in Male and Female Rats
Authors: Minaya Dulce , Hoss Adam Michael , Bhagat Ayushi , Guo Tai , Czaja Krzysztof
Published: October 2024

Background/Objectives: Consumption of a high energy density diet (HED) leads to increased body weight and fat mass, gut dysbiosis, and obesity. The aim of this study was to characterize the initial response to HED consumption, as well as identify any sex differences, on body composition, systemic inflammation, gut microbiome, and fecal fat excretion in rats. Methods: Male and female Sprague-Dawley rats were fed a low energy density (LED) for 10 days and then were switched to HED for four weeks. Food intake was measured twice a week, body weight and body composition were measured weekly. Serum samples were collected to measure inflammatory cytokines/chemokines. Fecal samples were collected for microbiome analysis and lipid content. Results: Both males and females experienced increases in body weight, fat mass and fecal fat excretion, while males were more susceptible to significant weight gain, particularly in the diet-induced obesity-prone (DIO-P) group. Males showed elevated TGF-β levels, while females exhibited increases in IP-10, RANTES, and FGFb. Changes in gut microbiota composition revealed a reduction in beneficial species like Bacteroides uniformis and Parabacteroides distasonis and an increase in species such as Akkermansia muciniphila. Sex differences in fat metabolism were shown in the greater fecal fat excretion observed in males. Conclusions: Our study demonstrates that short-term consumption of a high-energy diet elicits notable sex-specific differences in body weight, body composition, inflammatory markers, gut microbiota, and fat excretion in Sprague-Dawley rats. These findings underscore the importance of considering sex as a biological variable in studies of diet-induced obesity and its metabolic consequences.
InSAR Phase Linking with L2-CSLCs: Enhancing Infrastructure Monitoring Accuracy at Algeciras Port
Authors: Sánchez-Fernández Jaime , Fernández-Landa Alfredo , Hernández Cabezudo Alvaro , Molina Sánchez Rafael
Published: October 2024

This paper presents an advanced methodology for processing radar imagery stacks using Persistent Scatterer and Distributed Scatterer Interferometry (PSDS) to enhance spatial coherence and improve displacement detection accuracy. The workflow leverages Level 2 Coregistered Single Look Complex (L2-CSLC) images generated by the open-source COMPASS (COregistered Multi-temPorAl Sar SLC) framework in combination with the Combined eigenvalue maximum likelihood Phase Linking (CPL) approach as implemented in MiaplPy. Starting the analysis directly from Level 2 products offers a significant advantage to end-users, as they simplify processing by being pre-geocoded and ready for immediate analysis. Additionally, the open-source nature of the workflow and the use of L2-CSLC products simplify the processing pipeline, making it easier to distribute directly to users for practical applications in monitoring infrastructure stability in dynamic environments. The ISCE3-MiaplPy workflow is compared against ISCE2-MiaplPy and the European Ground Motion Service (EGMS) to assess its performance in detecting infrastructure deformation in dynamic environments, such as the Algeciras port. Results indicate that ISCE3-MiaplPy delivers significantly denser measurements, albeit with increased noise, compared to its counterparts. This higher resolution enables a more detailed understanding of infrastructure stability and surface dynamics, which is critical for environments with ongoing human activity or natural forces.
Conserved Biological Processes in Partial Cellular Reprogramming: A Comprehensive Review
Authors: Avelar Roberto A. , Palmer Daniel , Kulaga Anton Y. , Fuellen Georg
Published: October 2024

Partial or transient cellular reprogramming is defined by the limited induction of pluripotency factors without fully de-differentiating cells into a pluripotent state. Comparing in vitro and in vivo mouse studies, and in vitro studies in humans, supported by visualizations of the interconnections among the data, we show consistent patterns in how such reprogramming modulates key biological processes. Generally, it leads to enhanced chromatin accessibility, upregulation of chromatin modifiers, and improved mitochondrial activity. These changes are accompanied by shifts in stress response programs, such as inflammation, autophagy, and cellular senescence, as well as dysregulation of extracellular matrix pathways. We also underscore the challenges in evaluating complex processes like aging and cellular senescence, given the variability in biomarkers used across studies. Overall, we highlight biological processes consistently influenced by reprogramming while noting that some effects are context-dependent, varying according to cell type, species, sex, and the reprogramming method employed. These insights inform future research and therapeutic applications in aging and regenerative medicine.
Simulation Analysis of Blood Transfusion Accuracy and Hemolysis Rate of Conventional Infusion Pump and Cylinder-Type Infusion Pump
Authors: Lee Hee-Young , Kim Sun-Ju , Lee Kang-Hyun , Park Il-Hwan , Jeon Hyeok-Jin , Youk Hyun
Published: October 2024

Background/Objectives: Infusion pumps are critical in clinical settings, precisely delivering fluids such as medications and blood products. However, maintaining accuracy and preventing hemolysis is essential when administering blood, particularly to neonates. Conventional pumps may cause hemolysis due to pressure variations during transfusion. This study compares the blood transfusion accuracy and hemolysis rate between the conventional pump, Terufusion TE-LM700 (Terufusion) and the novel cylinder-type infusion pump, Anyfusion H-100 (Anyfusion); Methods: The study evaluated six different infusion rates (10-180cc/hr) and conducted 57 transfusion trials, 20 of which used a 1:1 blood-saline dilution. Blood transfusion accuracy was measured using research-grade packed red blood cells, and hemolysis rates were assessed before and after transfusion by chi-square tests and independent sample t-tests; Results: Anyfusion demonstrated an average transfusion error rate of 3.77%, compared to 4.00% for the Terufusion, with no statistically significant difference in hemolysis rates (p=0.697). Bland-Altman plots confirmed equivalent performance, with hemolysis rates of 0.566 ± 0.095% for Anyfusion and 0.518 ± 0.126% for Terufusion; Conclusions: Anyfusion provides accurate and reliable blood transfusion performance comparable to Terufusion, with no significant difference in hemolysis rates. Its integration of syringe and infusion methods shows potential for safer and more efficient transfusion practices, especially in pediatric and emergency settings.