bluuebunny/crossref_metadata_2025 huggingface dataset:
The Photo- and Phonosensitivity Avoidance Behavior Scales: Evaluating Clinical Utility in Pediatric Primary Chronic Headache
Authors: Smith Allison M. , Silvia Megan N. , Rogan Hannah , Lebel Alyssa A.
Published: November 2024

Background/Objectives: Pediatric primary chronic headache disorders are often associated with sensitivities to light (photosensitivity) and sound (phonosensitivity) that may trigger or worsen headache pain. These sensory sensitivities may result in changes to activity participation or environmental modifications to avoid visual and auditory stimuli. Over time, avoidance behaviors can inadvertently increase functional disability, suggesting the importance of their thorough consideration. The PhotoSensitivity and PhonoSensitivity Avoidance Behavior Scales (PHOTO-SABS and PHONO-SABS, respectively) were recently developed and preliminarily validated to assist clinicians in evaluating such behaviors. This study aimed to confirm each of their factor structures in a new sample and enhance their clinical utility. Methods: A sample of 176 youth (aged 8–17) with a primary chronic headache diagnosis completed the PHOTO-SABS and PHONO-SABS as part of their multidisciplinary evaluation in a pediatric headache clinic. Results: Consistent with the previous validation, confirmatory factor analyses supported a two-factor model for the PHOTO-SABS and a single-factor model for the PHONO-SABS. Tertile groupings (low, moderate, high) provided the most appropriate clinical reference points. The relative change criterion (RCCrit) was established at 6.4 points for both measures. Conclusions: These findings confirm that the PHOTO- and PHONO-SABS are psychometrically robust tools for clinicians to evaluate sensitivity-related avoidance behavior and to monitor response to interventions in youth with primary chronic headaches.
X-Ray Photoelectron Spectroscopy of TixAl and TixAl/A-Si:H Interlayer with Different Thicknesses on Stainless Steel to Enhancing Adhesion of DLC Films
Authors: Hincapie Campos W. S. , Gutiérrez Bernal J. M. , Capote G. , Trava-Airoldi V. J.
Published: November 2024

In this research, two intermediate layers were deposited on 316L stainless steel to improve the adhesion of diamond-like carbon (DLC) films, one composed of TixAl and produced using the RF sputtering technique with three thicknesses, 100 nm, 200 nm, and 300 nm; the other, interlayer composed of amorphous hydrogenated silicon (a-Si:H). The DLC films were deposited using the pulsed-DC PECVD method with an active screen to achieve the AISI 316L/TixAl//DLC and AISI 316L/TiₓAl/a-Si/DLC configurations. The binding energy between the substrate/TixAl and TixAl/a-Si:H was investigated via X-ray photoelectron spectroscopy with high-resolution spectra. The chemical composition and microstructure of the titanium–aluminum interlayers were investigated using energy-dispersive X-ray spectroscopy and X-ray diffraction, and the microstructure of the DLC coatings was studied using Raman spectroscopy. The coatings’ adherence was measured using scratch and indentation tests, and the hardness of the DLC coatings was determined with the nanoindentation test. The X-ray diffractograms did not allow the determination of any crystalline structure in the TixAl interlayers. The XPS results showed that between the AISI 316L substrate and the TixAl intermediate layer, Ti-O-Fe and FeAl2O4 were formed. On the other hand, at the TixAl/a-Si:H interface, TiSi2 and Al2SiO5 compounds were identified. The DLC coatings grew as hydrogenated amorphous carbon with a hydrogen content of around 30 at.% and a hardness of 24 GPa. The deposition methods used and the TixAl/a-Si:H interlayers allowed the obtainment of adherent DLC coatings on AISI 316L stainless steel substrates. High critical load values of about 30 N were obtained. The novelty of this work is underscored by the absence of previous studies that thoroughly examine the bonds present in interlayers used as gradients to enhance the adhesion of DLC.
Influence of Heat Treatment on the Microstructure and Tensile Properties of a Novel Nitrogenous Nickel-Based Deposited Metal
Authors: Wang Yingdi , Dai Zhiyong , Su Yunhai
Published: November 2024

Nitrogenous nickel-based deposited metal was prepared by using the gas metal arc welding (GMAW) method, and it was further subjected to solid-solution and aging heat treatment. The influence of different solid-solution temperatures on the microstructure of the deposited metal was studied, and the complete heat treatment system for the nitrogenous nickel-based deposited metal was ultimately determined. The microstructure, mechanical properties, and deformation mechanism of the nitrogenous nickel-based deposited metal in two states (as-prepared state and complete heat-treated state) were finally investigated. The results show that the microstructure of the deposited metal mainly consisted of epitaxially grown columnar grains with large grains. Petal-like Laves phases formed between the dendrites. The main deformation mechanism was the unit dislocation a/2<110> cut precipitation phase. After a complete heat treatment, all the Laves phases were re-melted, and nanoscale M(C,N) phases precipitated in the grains, while M23C6 phases formed at the grain boundaries. The samples showed higher yield and ultimate tensile strengths than those of the as-prepared state metal, but with reduced ductility. The deformation mechanism involved not only a/2<110> matrix dislocations cutting the precipitated phase, but also two a/6<121> Shockley incomplete dislocations, together cutting the precipitated phase to form a stacking layer dislocation.
Amorphous-like TiN Films as Barrier Layers for Copper
Authors: Han Shicheng , Yang Shicheng , Zeng Xiaohong , Wu Ying , Liu Tong , Wang Hu , Ding Sunan
Published: November 2024

The titanium nitride (TiN) columnar structure results in a rapid diffusion of copper atoms into the substrate along a vertical path. In this paper, the TiN columnar growth process was modified, which resulted in the deposition of amorphous-like films. The amorphous-like TiN layer demonstrated a low resistivity of 75.3 μΩ·cm. For the test structure of Cu/TiN/SiO2, the Cu diffusion depth in the 3 nm TiN middle layer was only approximately 1 nm after annealing at 750 °C for 30 min. Excellent copper diffusion barrier due to high density and complex diffusion pathways. The results of this study suggest that conventional barrier materials can still be used in ultra-narrow copper interconnects.
Thermal Transmittance Limits Dataset for New and Existing Buildings Across EU Regulations
Authors: Congedo Paolo Maria , Baglivo Cristina , D’Agostino Delia , Albanese Paola Maria
Published: November 2024

Building energy regulations are essential for reducing energy consumption in the European Union (EU) and achieving climate neutrality goals. This data article supplements the “Overview of EU Building Envelope Energy Requirement for Climate Neutrality” by presenting a detailed dataset on building regulations across all 27 EU member states, with a focus on building envelope efficiency. The data include thermal transmittance limits for windows, walls, floors, and roofs, offering insights into regulatory differences and potential opportunities for harmonization. Information was sourced from the Energy Performance of Buildings Directive (EPBD) database, national reports, and scientific literature to ensure comprehensive coverage. Key aspects of each country’s regulations are summarized in tables, covering both new constructions and renovations. The inclusion of Köppen–Geiger climate classifications allows for climate-specific analyses, providing valuable context for researchers, policymakers, and construction professionals. This dataset enables comparative studies, helping to identify best practices and inform policy interventions aimed at enhancing energy efficiency across Europe. It also supports the development of tailored strategies to improve building performance in different environmental conditions, ultimately contributing to the EU’s energy and climate targets.
Frailty and Visual Impairment in Elderly Individuals: Improving Outcomes and Modulating Cognitive Decline Through Collaborative Care Between Geriatricians and Ophthalmologists
Authors: Dinarvand Daniel , Panthakey Johann , Hassan Ahmed , Ahmed Mohamed H.
Published: November 2024

Introduction: As life expectancy increases, the prevalence of frailty and eye diseases (cataracts, glaucoma, age-related macular degeneration (AMD), and diabetic retinopathy) in the elderly global population is rising. Eye diseases and visual impairment not only contribute to a high incidence of falls, fractures, depression, and social isolation but they also herald cognitive decline and frailty (vision–cognitive impairment). Methods: This narrative review explores the relationship between eye diseases, visual impairment, and frailty, their association with cognitive decline, the current approaches in identifying and managing these conditions and the potential role of interdisciplinary care models. Relevant articles were identified by searching the major databases. Result: Eye diseases are common in elderly individuals and can lead to visual impairment and subsequently contribute to falls, fractures, depression, and social isolation. Visual impairment is strongly linked to cognitive decline, which is a key component of frailty. Reduced sensory input from vision loss leads to decreased cognitive stimulation, reduced engagement in activities such as reading, problem-solving, executive function, attention, and social interactions, which are crucial for maintaining cognitive health. This can lead to a form of “sensory deprivation”, which accelerates neurodegenerative processes. As cognitive decline progresses, it creates a feedback loop where individuals may struggle to manage their health, adhere to treatment regimens, or seek timely medical care, exacerbating both cognitive impairment and frailty. Additionally, subjective cognitive decline (SCD) is common in older adults with vision loss and may precede clinical dementia. This sense of declining cognitive ability can worsen anxiety and depression, further contributing to frailty. Early intervention has the potential to mitigate the cognitive effects of vision loss (vision–cognitive impairment). Conclusions: Ophthalmologists should play an important role in detecting frailty associated with vision loss. Incorporating frailty assessments into ophthalmic practice can facilitate referrals to geriatric care and early interventions, improving patient outcomes. Geriatricians should be vigilant in identifying visual impairment and referring patients for appropriate ophthalmic investigation and management. Regular vision assessments should be part of comprehensive geriatric evaluations. Future research will assess the beneficial role of community geriatricians in detecting frailty and vision–cognitive impairment. An interdisciplinary and collaborative approach between ophthalmologists and geriatricians can lead to earlier detection, comprehensive management, and improved outcomes in frailty, eye diseases, and cognitive function.
The Design of Improved Series Hybrid Power System Based on Compound-Wing VTOL
Authors: An Siqi , Cai Guichao , Peng Xu , Dai Mingxiao , Yang Guolong
Published: November 2024

Hybrid power systems are now widely utilized in a variety of vehicle platforms due to their efficacy in reducing pollution and enhancing energy utilization efficiency. Nevertheless, the existing vehicle hybrid systems are of a considerable size and weight, rendering them unsuitable for integration into 25 kg compound-wing UAVs. This study presents a design solution for a compound-wing vertical takeoff and landing unmanned aerial vehicle (VTOL) equipped with an improved series hybrid power system. The system comprises a 48 V lithium polymer battery(Li-Po battery), a 60cc internal combustion engine (ICE), a converter, and a dedicated permanent magnet synchronous machine (PMSM) with four motors, which collectively facilitate dual-directional energy flow. The four motors serve as a load and lift assembly, providing the requisite lift during the take-off, landing, and hovering phases, and in the event of the ICE thrust insufficiency, as well as forward thrust during the level cruise phase by mounting the variable pitch propeller directly on the ICE. The entire hybrid power system of the UAV undergoes numerical modeling and experimental simulation to validate the feasibility of the complete hybrid power configuration. The validation is achieved by comparing and analyzing the results of the numerical simulations with ground tests. Moreover, the effectiveness of this hybrid power system is validated through the successful completion of flight test experiments. The hybrid power system has been demonstrated to significantly enhance the endurance of vertical flight for a compound-wing VTOL by more than 25 min, thereby establishing a solid foundation for future compound-wing VTOLs to enable multi-destination flights and multiple takeoffs and landings.
Noncontact Monitoring of Respiration and Heartbeat Based on Two-Wave Model Using a Millimeter-Wave MIMO FM-CW Radar
Authors: Ko Mie , Moriyama Toshifumi
Published: November 2024

This paper deals with the non-contact measurement of heartbeat and respiration using a millimeter-wave multiple-input–multiple-output (MIMO) frequency-modulated continuous-wave (FM-CW) radar. Monitoring heartbeat and respiration is useful for detecting cardiac diseases and understanding stress levels. Contact sensors are not suitable for these sorts of long-term measurements due to the discomfort and skin irritation they cause. Therefore, the use of non-contact sensors, such as radars, is desirable. In this study, we obtained heartbeat and respiration information from phase data measured using a millimeter-wave MIMO FM-CW radar. We propose a two-wave model based on a Fourier series expansion and extract respiration and heartbeat information as a minimization problem. This model makes it possible to produce respiration and heartbeat waveforms. The produced heartbeat waveform can be used for estimating the interbeat interval (IBI). Experiments were conducted to confirm the usefulness of the proposed method. Moreover, the estimated results were compared with the contact sensor’s results. The results for both types of sensors were in good agreement.
Constructing a New Pathway for Ethylene Glycol Biosynthesis and Its Coenzyme Reuse Mechanism
Authors: Zhu Zeyang , Li Wenwei , Wang Dan , Fang Xia , Li Jianing , Li Xuyang
Published: November 2024

As a high-value bulk chemical, ethylene glycol plays an important role in many fields such as energy, the chemical industry, and automobile manufacturing. At the same time, methanol, as an economical and efficient raw material, has shown great potential in promoting the innovation of bio-based chemicals and fuels. In view of this, this study focused on the excavation and innovative application of enzymes, and successfully designed an efficient artificial cascade catalytic system. The system cleverly converts methanol into ethylene glycol, and the core is composed of methanol dehydrogenase, glycolaldehyde synthase, and lactoaldehyde–pyruvate oxidoreductase. The three enzyme systems work together, which not only simplifies the metabolic pathway, but also realizes the efficient reuse of coenzymes. Subsequently, after ribosome-binding site (RBS) optimization, isopropyl β-D-Thiogalactoside (IPTG) induction regulation, and methanol concentration adjustment, the concentration of ethylene glycol reached 14.73 mM after 48 h of reaction, and the conversion rate was 58.92%. Furthermore, a new breakthrough in ethylene glycol production was achieved within 48 h by using a two-stage biotransformation strategy and fed-batch feeding in a 5 L fermentor, reaching 49.29 mM, which is the highest yield of ethylene glycol reported so far. This achievement not only opens up a new way for the biotransformation of ethylene glycol, but also lays a foundation for the industrial application in this field in the future.
Effect of Fermentation Duration on the Chemical Compounds of Coffea arabica from Ultra Performance Liquid Chromatography–Triple Quadrupole Mass Spectrometry and Gas Chromatography–Mass Spectrometry Analysis During the Washed Processing
Authors: Shen Xiaojing , Wang Qi , Zheng Tingting , Yuan Biao , Yin Zhiheng , Liu Kunyi , Yuan Wenjuan
Published: November 2024

The washed process is one of the traditional post-harvest processes of coffee beans, which include selective harvesting, flotation, pulping, submerged fermentation underwater, washing, and drying operations. During the washed processing, fermentation underwater can remove coffee mucilage and change metabolites by microorganisms. Therefore, coffee fermentation is a key factor influencing coffee’s flavor. To compare the influence of fermentation duration in an open environment of Coffea arabica in 48 h during the washed processing on the coffee’s flavor, the sensory characteristics of the coffee at different fermentation durations were evaluated using the Specialty Coffee Association of America (SCAA) cupping protocol. Moreover, ultra performance liquid chromatography–triple quadrupole mass spectrometry (UHPLC–MS/MS) and gas chromatography–mass spectrometry (GC–MS) were combined to analyze and compare the chemical compounds of coffee samples from fermentation durations of 24 h (W24) and 36 h (W36) during the washed processing method. The results showed that W36 had the highest total cupping score with 77.25 in all different fermentation duration coffee samples, and 2567 non-volatile compounds (nVCs) and 176 volatile compounds (VCs) were detected in W36 and W24 during the washed processing method. Furthermore, 43 differentially changed non-volatile compounds (DCnVCs) and 22 differentially changed volatile compounds (DCVCs) were detected in W36 vs. W24. Therefore, suitable fermentation duration in an open environment is beneficial to coffee flavor, judging by chemical compound changes. For the washed primary processing of C. arabica from Yunnan, China, 36 h fermentation was the suitable fermentation duration in an open environment, which presented potential value as the reference for washed coffee processing in the food industry.
A New Mutagenesis Tool for Songpu Mirror Carp (Cyprinus carpio L.) for Selective Breeding: Atmospheric-Pressure Room-Temperature Plasma Mutagenesis Technology
Authors: Jiang Xiaona , Li Chitao , Shang Mei , Hu Xuesong , Ge Yanlong , Jia Zhiying
Published: November 2024

As a new, safe, and efficient method, Atmospheric-Pressure Room-Temperature Plasma (ARTP) mutagenesis has been widely applied in the field of microbial breeding and industrial applications, but it is rarely used in fish. In this study, ARTP mutagenesis technology was applied for the first time to a common carp strain, Songpu mirror carp (Cyprinus carpio L.), to increase genetic variation in this species. The appropriate experimental conditions were determined to include a radio frequency output power of 160 W and the processing of fertilized eggs for 360 s. The ARTP treatment group had a lower survival rate than the control group. The CV of morphological characters in the ARTP treatment group was significantly higher than that in the control group, and the CV of body weight was the highest (p < 0.05). In addition, the deformity rate in the ARTP treatment group was significantly higher than in the control group (p < 0.05). Individuals with high weight and no deformities were screened within the selection pressure of 1:15 of ARTP treatment group and fed in the same pool with the control group of the same age. The measurement of serum indices showed that, in the ARTP treatment group, TP, ALP, ALB, T-CHO, LDL levels were significantly higher than those in the control group (p < 0.05). Furthermore, the relative expressions of SOD, growth-related genes GH, IGF-I, protein synthesis-related genes TOR and 4EBP1 were significantly higher in the ARTP treatment group than in the control group (p < 0.05). In summary, Songpu mirror carp subjected to ARTP treatment showed a higher growth potential and antioxidant capacity.
Study on Thermal Insulation Performance of Silica Aerogel Thermal Insulation Blankets
Authors: Li Hao , Xu Weidong , Zhu Liyan , Xiao Feifei , Yu Zhou , Hao Bentian , Huang Wei , Zhao Kai
Published: November 2024

In this paper, the thermal insulation performance of silica aerogel was studied. Aerogel heat insulation blankets can be widely used in the military, cold storage, aerospace, automotive and other industries. The heat insulation principle of aerogel was analyzed theoretically, and the heat transfer model of aerogel was established. Experiments are designed to verify the accuracy of the model, and it is concluded that the distance between the aerogel and the target is more important for the thermal insulation effect than the thickness of the aerogel.
TERTmonitor Efficacy and Performance in Detecting Mutations by Droplet Digital PCR
Authors: Bessa-Gonçalves Mafalda , Brás João Paulo , Jesus Tito Teles , Prazeres Hugo , Soares Paula , Vinagre João
Published: November 2024

Background: The screening of TERT promoter (TERTp) mutations is essential in cancer research and diagnostics, due to its prevalence in tumours associated with low self-renewal rates. TERTmonitor is a diagnosis kit primarily designed for real-time qPCR qualitative detection of −124C>T and −146C>T TERTp mutations, which are highly prevalent in several malignancies, particularly in bladder carcinoma. Objective: This study aims to investigate TERTmonitor performance in droplet digital PCR (ddPCR) in urine samples from bladder cancer patients. Methods: A total of 45 urine samples were examined by real-time qPCR and ddPCR techniques, and their performances were compared. Results: TERTmonitor had similar performance in both real-time qPCR and ddPCR platforms. Specifically, the methods exhibited a concordance rate of 95.45% and 90% for −124C>T and −146C>T mutations, respectively. Importantly, an enhanced sensitivity in certain scenarios was exhibited by ddPCR when compared to real-time qPCR, detecting mutations that the latter failed to identify in approximately 4.55% and 10% of the samples for −124C>T and −146C>T mutations, respectively. This enhanced sensitivity of ddPCR was particularly evident in samples with low-frequency mutations. Conclusions: The findings highlight the usefulness of TERTmonitor for cancer surveillance either in real-time qPCR or ddPCR platforms.
LCM-RNAseq Highlights Intratumor Heterogeneity and a lncRNA Signature from Archival Tissues of GH-Secreting PitNETs
Authors: Cis Luca , Nanni Simona , Gessi Marco , Bianchi Antonio , De Martino Sara , Pecci Valeria , Bonvissuto Davide , Carlino Angela , Giacò Luciano , Rindi Guido , Sette Claudio , Grassi Claudio , Gaetano Carlo , Pontecorvi Alfredo , Farsetti Antonella
Published: November 2024

Background: This study explores the potential for hidden variations within seemingly uniform regions of growth hormone-secreting pituitary neuroendocrine tumors (GH-PitNETs). We employed archived tissue samples using Laser Capture Microdissection Sequencing (LCM-RNAseq) to probe the molecular landscape of these tumors at a deeper level. Methods: A customized protocol was developed to extract, process, and sequence small amounts of RNA from formalin-fixed, paraffin-embedded (FFPE) tissues derived from five patients with GH-secreting PitNETs and long-term follow-up (≥10 years). This approach ensured precise isolation of starting material of enough quality for subsequent sequencing. Results: The LCM-RNAseq analysis revealed a surprising level of diversity within seemingly homogeneous tumor regions. Interestingly, the 30 most highly expressed genes included the well-known long noncoding RNA (lncRNA) MALAT1. We further validated the levels of MALAT1 and of other tumor-associated lncRNAs using digital droplet PCR. Conclusions: This study demonstrates the potential of LCM-RNAseq to unlock hidden molecular diversity within archived pituitary tumor samples. By focusing on specific cell populations, we identified lncRNAs expressed at different levels within the tumors, potentially offering new insights into the complex biology of GH-secreting PitNETs. This evidence prompts further research into the role of lncRNAs in pituitary neuroendocrine tumor aggressiveness and personalized treatment strategies.
HOXA7 Expression Is an Independent Prognostic Biomarker in Esophageal Squamous Cell Carcinoma
Authors: Gomes Jennifer Vieira , Nicolau-Neto Pedro , de Almeida Júlia Nascimento , Lisboa Lilian Brewer , de Souza-Santos Paulo Thiago , Ribeiro-Pinto Luis Felipe , Soares-Lima Sheila Coelho , Simão Tatiana de Almeida
Published: November 2024

Background/Objectives: Homeobox (HOX) genes encode conserved transcription factors essential for tissue and organ development and cellular differentiation. In humans, these genes are organized into four clusters: HOXA, HOXB, HOXC, and HOXD. While HOX genes have been extensively studied in cancer biology, their roles in esophageal squamous cell carcinoma (ESCC) remain poorly understood. Given the increasing incidence and high mortality rate of ESCC, exploring the molecular drivers of this tumor is urgent. Methods: Therefore, this study investigated the mutational landscape and expression profiles of HOX genes in ESCC and their differentially expressed targets using ESCC data from The Cancer Genome Atlas (TCGA) and two independent transcriptome datasets. Results: We found that copy number alterations and single nucleotide variations were rare, while seven HOX genes (HOXA2, HOXA7, HOXB13, HOXC9, HOXC10, HOXC13, and HOXD10) were significantly differentially expressed in ESCC compared to paired non-malignant mucosa. Further analysis identified 776 potential HOX target genes differentially expressed in ESCC, many of which are involved in critical cancer pathways such as PI3K-AKT, cell cycle regulation, and epithelial–mesenchymal transition (EMT). The HOXA7 overexpression was associated with poor overall survival rates in ESCC. This finding opens new possibilities for targeted therapies, offering hope for improved patient outcomes. Conclusions: Thus, this study underscored the pivotal role of HOX gene dysregulation in ESCC and classified HOXA7 as a potential prognostic biomarker in this tumor.
Trends and Insights in Medicinal Plant Extract Research: A Ten-Year Bibliometric and Visualization Study
Authors: El Allaoui Hasnae , El Ahmadi Kawthar , El Abdouni Aouatif , Dira Imane , El Bastrioui Mohamed , Bouhrim Mohamed , Eto Bruno , Shahat Abdelaaty , Herqash Rashed , Haboubi Khadija
Published: November 2024

This study provides a detailed bibliometric analysis of research on medicinal plant extracts conducted over the past decade, with a focus on their therapeutic applications. Using the Scopus database, 1105 publications from 2014 to 2024 were analyzed to uncover trends in publication volume, collaboration networks, and research clusters. The analysis revealed a steady annual growth rate of 1.98%, with most studies concentrating on the anti-inflammatory, antimicrobial, and antioxidant properties of plant extracts, particularly those containing bioactive compounds such as flavonoids, alkaloids, and terpenoids. The study also highlighted the increasing international collaborations in the field, with 30.84% of the documents featuring cross-border co-authorship. Leading contributors to this research include India, China, and Italy, whose researchers and institutions have played a significant role in advancing the field. The widespread use of advanced analytical techniques, including High-Performance Liquid Chromatography (HPLC) and Nuclear Magnetic Resonance (NMR) spectroscopy, has enhanced the identification and characterization of bioactive molecules. Keywords such as “plant extract”, “antioxidant activity”, and “phytochemistry” were the most frequently occurring, reflecting dominant research themes. Additionally, the h-index analysis showed that 59 of the documents had received at least 59 citations, highlighting the significant impact of this body of research. The study underscores the growing role of phytochemicals in the development of alternative therapies for chronic diseases such as cancer, diabetes, and neurodegenerative disorders. These findings provide a roadmap for future research, encouraging further exploration of plant-based therapies with an emphasis on sustainability, bioactive compound efficacy, and global collaboration.
Stress and the City: Mental Health in Urbanized vs. Rural Areas in Salzburg, Austria
Authors: Frey Vanessa Natalie , Langthaler Patrick Benjamin , Huf Martin Josef , Gruber Günter , Prinz Thomas , Kedenko Ludmilla , Iglseder Bernhard , Paulweber Bernhard , Trinka Eugen
Published: November 2024

Background: Living in the city is associated with a higher risk of suffering from stress, anxiety, and depression. Due to an increase of migration to the city, the association between mental health and city life is highly relevant to society. Methods: We analyzed data of 9573 participants (Ø 55.3 years, SD = 7.4) of the Paracelsus 10,000 study (Salzburg, Austria) who were classified into having or not having depressive symptoms. Population density, green space, and noise around the home address of the participants were collected and tested for correlations with mental health defined by depressive symptoms. We additionally tested whether migration status influenced the effect of urbanization on mental health. Results: There is a positive correlation between degree of urbanization and the probability of suffering from depressive symptoms (p = 0.011), yet this effect is independent of the migration background (p = 0.581). Participants in areas with high residential density were significantly more likely to suffer from poor mental health (p = 0.006 unadjusted). No significant association could be found between mental health and noise (p = 0.126 unadjusted) or green space neither regarding distance to closest green space (p = 0.549 unadjusted), nor size of green space (p = 0.549 unadjusted). Conclusions: In the Paracelsus 10,000 cohort, living in the city is associated with lower mental health, especially in participants with a high population density in the direct neighborhood. This might be due to social stress yet does not reflect minority stress in migrants. However, the influence of noise pollution and green space on mental health is limited in this cohort.
Implementation and Baseline Evaluation of an Evidence-Based Group Antenatal Care Program in Two Nigerian States
Authors: Evans William Douglas , Ochu Chinwe L. , Bingenheimer Jeffery B. , Adebayo Samson Babatunde , David Fasiku Adekunle , Gar Sani Ali , Abdulkarim Masduk
Published: November 2024

Northern Nigeria has had historically low antenatal care (ANC) utilization rates with poor health outcomes. Previous studies have shown that group antenatal care (gANC) improves ANC behavior and pregnancy outcomes. The gANC has been adopted in Kaduna and Kano States, Nigeria. This paper presents baseline findings from the implementation of the gANC program in Kaduna and Kano States, Nigeria, based on data collected from 1269 and 1200 pregnant women, respectively, from March to April 2024. Analyses of sociodemographic and pregnancy behavior data were performed. Participants were mostly between the age of 19 and 31 years, married or living with a partner, with over 50% having their own businesses. Over 62% and 34% had completed secondary- or higher-level education, with 60% and 80% living in urban areas in Kaduna and Kano States, respectively. In Kano State, >60% of the women had their last delivery at home, with 41.6% not assisted by a skilled birth attendant. In Kaduna, >63% delivered in the hospital and >50% had skilled attendance during labor. Almost half had not used contraceptives previously. This study has provided baseline evaluation data for the implementation of gANC in two states in Nigeria. Subsequent longitudinal data will examine the impact of gANC utilization on perinatal outcomes and contraceptive behavior to inform the scaling of the program in the country.
Leveraging Agent-Based Modeling and IoT for Enhanced E-Commerce Strategies
Authors: Shili Mohamed , Anwar Sajid
Published: November 2024

The increasing demand for consumers to engage in e-commerce “anytime, anywhere” necessitates more advanced and integrated solutions. This paper presents a novel approach for integrating e-commerce platforms with the Internet of Things (IoT) through the use of agent-based models. The key objective is to create a multi-agent system that optimizes interactions between IoT devices and e-commerce systems, thereby improving operational efficiency, adaptability, and user experience in online transactions. In this system, independent agents act as intermediaries, facilitating communication and enabling decentralized decision making. This architecture allows the system to adjust dynamically to environmental changes while managing complex tasks, such as real-time inventory monitoring and personalized product recommendations. The paper provides a comprehensive overview of the system’s framework, design principles, and algorithms, highlighting the robustness and flexibility of the proposed structure. The effectiveness of this model is validated through simulations and case studies, demonstrating its capacity to handle large data volumes, ensure security and privacy, and maintain seamless interoperability among a variety of IoT devices and e-commerce platforms. The findings suggest that this system offers a viable solution to the challenges of integrating IoT into e-commerce, contributing to both academic research and practical applications in the field.
Implementation of a Reduced Decoding Algorithm Complexity for Quasi-Cyclic Split-Row Threshold Low-Density Parity-Check Decoders
Authors: Mejmaa Bilal , Aqil Chakir , Akharraz Ismail , Ahaitouf Abdelaziz
Published: November 2024

We propose two decoding algorithms for quasi-cyclic LDPC codes (QC-LDPC) and implement the more efficient one in this paper. These algorithms depend on the split row for the layered decoding method applied to the Min-Sum (MS) algorithm. We designate the first algorithm “Split-Row Layered Min-Sum” (SRLMS), and the second algorithm “Split-Row Threshold Layered Min-Sum” (SRTLMS). A threshold message passes from one partition to another in SRTLMS, minimizing the gap from the MS and achieving a binary error rate of 3 × 10−5 with Imax = 4 as the maximum number of iterations, resulting in a decrease of 0.25 dB. The simulation’s findings indicate that the SRTLMS is the most efficient variant decoding algorithm for LDPC codes, thanks to its compromise between performance and complexity. This paper presents the two invented algorithms and a comprehensive study of the co-design and implementation of the SRTLMS algorithm. We executed the implementation on a Xilinx Kintex-7 XC7K160 FPGA, achieving a maximum operating frequency of 101 MHz and a throughput of 606 Mbps.
Multigenerational Rearing on Non-Prey Foods Does Not Affect Prey (Aphid) Recognition Behavior of Coleomegilla maculata (Coleoptera: Coccinellidae)
Authors: Riddick Eric W. , Rojas Maria Guadalupe , Morales-Ramos Juan A.
Published: November 2024

The pink spotted lady beetle Coleomegilla maculata has been identified as a promising predator to mass rear and release into greenhouses and high tunnels to control aphids on small fruits and vegetables. This study tested the hypothesis that laboratory-reared C. maculata, without any exposure to aphids for multiple generations, could recognize, attack, and consume live aphids. The aphid adults of two species were collected from non-crop host plants (weeds) over two consecutive seasons. The time (seconds) that C. maculata adults required to recognize and partially or completely consume live, healthy adult aphids was recorded in Petri dish arenas in the laboratory. Regardless of the non-prey food source (brine shrimp egg diet, mealworm-protein-based artificial diet), C. maculata adults readily recognized aphids. Adult females were occasionally more voracious than males. One aphid species (Uroleucon erigeronense) was consumed more readily than the other aphid species (Aphis nerii). In conclusion, multigenerational rearing on non-prey foods did not affect the prey recognition behavior of C. maculata adults in the laboratory. Validating the ability of lady beetles reared on artificial diets to recognize and consume live aphids is an important protocol before augmentative releases for aphid control in greenhouses and high tunnels.
Clinical Relevance of Different Loads of Perivascular Spaces According to Their Localization in Patients with a Recent Small Subcortical Infarct
Authors: Sozzi Caterina , Brenlla Carla , Bartolomé Inés , Girona Andrés , Muñoz-Moreno Emma , Laredo Carlos , Rodríguez-Vázquez Alejandro , Doncel-Moriano Antonio , Rudilosso Salvatore , Chamorro Ángel
Published: November 2024

Background and Purpose: Perivascular spaces (PVS) are usually enlarged in small vessel disease (SVD). However, the significance of PVS patterns in different locations is uncertain. Hence, we analyzed the distribution of PVS in patients with a recent small subcortical infarct (RSSI) and their correlation with clinical and imaging factors. Materials and Methods: In a cohort of 71 patients with an RSSI with complete clinical data, including the Pittsburgh Sleep Quality Index (PSQI), we segmented PVS in white matter (WM-PVS), basal ganglia (BG-PVS), and brainstems (BS-PVS) on 3T-MRI T2-weighted sequences, obtaining fractional volumes (%), and calculated the WM/BG-PVS ratio. We analyzed the Pearson’s correlation coefficients between PVS regional loads. We used normalized PVS measures to assess the associations with clinical and MRI-SVD features (white matter hyperintensities (WMHs), number of lacunes, and microbleeds) in univariable and multivariable linear regressions adjusted for age, sex, and hypertension. Results: In our cohort (mean age 70 years; 27% female), the Pearson’s correlation coefficients between WM-PVS/BG-PVS, WM-PVS/BS-PVS, and BG-PVS/BS-PVS were 0.67, 0.61, and 0.59 (all p < 0.001). In the adjusted models, BG-PVS were associated with lacunes (p = 0.034), WMHs (p = 0.006), and microbleeds (p = 0.017); WM-PVS with lacunes (p = 0.003); while BS-PVS showed no associations. The WM/BG-PVS ratio was associated with lacunes (p = 0.018) and the PSQI (p = 0.046). Conclusions: PVS burdens in different regions are highly correlated in patients with RSSI but with different SVD patterns. Sleep quality impairment might affect waste removal mechanisms differently in the WM and BG regions.
Successful Management of Periprocedural Coronary Extravasation Using Liquid Embolic Agent n-Hexyl-Cyanoacrylate
Authors: Širvys Artiomas , Berūkštis Andrius
Published: November 2024

Although the complication rate of percutaneous coronary intervention is low, coronary artery perforation occurs in 0.2–0.5% of cases. Intracoronary glue injection is not an established treatment option, with only a few cases reported in the literature and no reported use of n-hexyl-cyanoacrylate. Case report: A 75-year-old man was diagnosed with a non-ST elevation myocardial infarction. Since there was no acute chest pain and no signs of ongoing ischemia on the ECG, diagnostic coronary angiography was performed the day after arrival. The coronary angiography revealed a proximal subocclusion of the left anterior descending artery. The lesion was successfully predilated, and a drug-eluting 5 × 28 mm stent was implanted, occluding two small diagonal branches. While attempting to create a gap in the stent to revascularize the occluded branch, a side branch perforation was detected. This was successfully treated by occluding the branch with an intracoronary cyanoacrylate glue injection. No signs of cardiac tamponade were observed during follow-up after the procedure, and the patient was soon discharged to rehabilitation. Conclusions: Coronary artery perforation is a serious complication of percutaneous coronary intervention. Intracoronary glue injection and embolization of the perforated side branch appear to be a safe and effective technique for managing this complication.
Comparison of Stress between Three Different Functionally Graded Hip Stem Implants Made of Different Titanium Alloys and Composite Materials
Authors: Ceddia Mario , Solarino Giuseppe , Dramisino Pasquale , De Giosa Giuseppe , Rizzo Stefano , Trentadue Bartolomeo
Published: November 2024

This study aims to evaluate the mechanical behavior, by ways of the FEM, of three femoral stems made of a Ti-6Al-4V titanium alloy with transverse holes in the proximal zone and a stem made of a β-type titanium alloy with a stiffness varying from 65 GPa in the proximal zone to 110 GPa in the distal zone and the CFRP composite material. The purpose of the study was to evaluate the effect of stress shielding on an intact femoral bone. A three-dimensional model of the intact femur was created, and the three prostheses were inserted with perfect stem bone fit. Applying constraint conditions such as fixation in all directions of the distal part of the femur and the application of a static load simulating standing still during a gait cycle allowed the stresses of both the implants and the bone to be compared. Evaluating the stress shielding for the three proposed materials was possible by identifying the seven Gruen zones. We can see from the results obtained that the metal alloys produced observable stress shielding in all the Gruen zones. There was a difference for the β-type alloy which, as a result of its stiffness variation from the proximal to the distal zone, did not show any level of stress shielding in Gruen zones 1 and 2. The CFRP composite, in contrast, showed no stress shielding in all of the Gruen zones and is an excellent material for the fabrication of total hip replacements. Further in vitro and in vivo validation studies are needed to make the modeling more accurate and understand the biological effects of the use of the three materials.
A Complete Functional Characterization of Patients with Severe Knee Osteoarthritis in Need of Total Knee Replacement
Authors: Lisboa Vinicius Taboni , Arruda Bruno de Paula Leite , Tambascia Rafael de Andrade , Zorzi Alessandro Rozin , Cliquet Alberto , de Campos Gustavo Constantino
Published: November 2024

Background/Objectives: The current literature lacks objective criteria to correctly identify patients in need of a total knee replacement. Surgery indication can be challenging for orthopedic surgeons, which may lead to high levels of patient dissatisfaction. The objective of this study is to describe a complete set of functional characteristics to identify patients with end-stage knee osteoarthritis in need of a total knee replacement, correlating data from strength and performance tests with pain, function, and quality of life questionnaires. Methods: This was a cross-sectional study evaluating patients with end-stage knee osteoarthritis in a waiting list for total knee replacement at a University Hospital. The patients responded to subjective self-reported questionnaires and performance-based functional tests. Anthropometric data were also collected. The main outcome measures were Western Ontario and McMaster Universities Index (WOMAC), visual analog scale (VAS), Short Form-36, knee range of motion, thigh perimeter measurement, maximum voluntary isometric contraction, and 6-min walk test. Results: We analyzed 122 patients (89 female). The functional profile of patients with severe knee osteoarthritis awaiting total knee replacement was described. Quadriceps strength (extensor torque) had a negative correlation with WOMAC (r = −0.3102; p < 0.05), VAS (r = −0.3247; p < 0.05), and a positive correlation with SF-36 Functional Capacity subscale (r = 0.321; p < 0.05). Poorer performance in the 6 min walk test also correlated with worse scores in the WOMAC (r = −0.35; p < 0.05), VAS (r = −0.48; p < 0.05) and SF-36. Conclusions: The present article established a functional profile of patients with severe knee osteoarthritis with indication for total knee replacement, which may help orthopedic surgeons in their decision process. We also identified quadriceps strength and a 6 min walk test as the two most important functional parameters that correlate with knee osteoarthritis severity.
A Review of Application of Deep Learning in Endoscopic Image Processing
Authors: Nie Zihan , Xu Muhao , Wang Zhiyong , Lu Xiaoqi , Song Weiye
Published: November 2024

Deep learning, particularly convolutional neural networks (CNNs), has revolutionized endoscopic image processing, significantly enhancing the efficiency and accuracy of disease diagnosis through its exceptional ability to extract features and classify complex patterns. This technology automates medical image analysis, alleviating the workload of physicians and enabling a more focused and personalized approach to patient care. However, despite these remarkable achievements, there are still opportunities to further optimize deep learning models for endoscopic image analysis, including addressing limitations such as the requirement for large annotated datasets and the challenge of achieving higher diagnostic precision, particularly for rare or subtle pathologies. This review comprehensively examines the profound impact of deep learning on endoscopic image processing, highlighting its current strengths and limitations. It also explores potential future directions for research and development, outlining strategies to overcome existing challenges and facilitate the integration of deep learning into clinical practice. Ultimately, the goal is to contribute to the ongoing advancement of medical imaging technologies, leading to more accurate, personalized, and optimized medical care for patients.
On the Dynamism of Paintings Through the Distribution of Edge Directions
Authors: Deliege Adrien , Dondero Maria Giulia , D’Armenio Enzo
Published: November 2024

The digitization of artworks has recently offered new computational perspectives on the study of art history. While much of the focus has been on classifying styles or identifying objects, the analysis of more abstract concepts, such as the perception of motion or dynamism in still images, remains largely unexplored. Semioticians and artists have long explored the representation of dynamism in still images, but they often did so through theoretical frameworks or visual techniques, without a quantitative approach to measuring it. This paper proposes a method for computing and comparing the dynamism of paintings through edge detection. Our approach is based on the idea that the dynamism of a painting can be quantified by analyzing the edges in the image, whose distribution can be used to identify patterns and trends across artists and movements. We demonstrate the applicability of our method in three key areas: studying the temporal evolution of dynamism across different artistic styles, as well as within the works of a single artist (Wassily Kandinsky), visualizing and clustering a large database of abstract paintings through PixPlot, and retrieving similarly dynamic images. We show that the dynamism of a painting can be effectively quantified and visualized using edge detection techniques, providing new insights into the study of visual culture.