bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Building Rehabilitation through Nondestructive Evaluation of Fire-Damaged Steel-Fiber-Reinforced Concrete
Authors: Mpalaskas Anastasios C. , Kytinou Violetta K. , Zapris Adamantis G. , Matikas Theodore E.
Published: September 2024

Fire incidents pose significant threats to the structural integrity of reinforced concrete buildings, often necessitating comprehensive rehabilitation to restore safety and functionality. Effective rehabilitation of fire-damaged structures relies heavily on accurate damage assessment, which can be challenging with traditional invasive methods. This paper explores the impact of severe damage due to fire exposure on the mechanical behavior of steel-fiber-reinforced concrete (SFRC) using nondestructive evaluation (NDE) techniques. After being exposed to direct fire, the SFRC specimens are subjected to fracture testing to assess their mechanical properties. NDE techniques, specifically acoustic emission (AE) and ultrasonic pulse velocity (UPV), are employed to assess fire-induced damage. The primary aim of this study is to reveal that AE parameters—such as amplitude, cumulative hits, and energy—are strongly correlated with mechanical properties and damage of SFRC due to fire. Additionally, AE monitoring is employed to assess structural integrity throughout the loading application. The distribution of AE hits and the changes in specific AE parameters throughout the loading can serve as valuable indicators for differentiating between healthy and thermally damaged concrete. Compared to the well-established relationship between UPV and strength in bending and compression, the sensitivity of AE to fracture events shows its potential for in situ application, providing new characterization capabilities for evaluating the post-fire mechanical performance of SFRC. The test results of this study reveal the ability of the examined NDE methods to establish the optimum rehabilitation procedure to restore the capacity of the fire-damaged SFRC structural members.
Hardware-Efficient Configurable Ring-Oscillator-Based Physical Unclonable Function/True Random Number Generator Module for Secure Key Management
Authors: Sánchez-Solano Santiago , Rojas-Muñoz Luis F. , Martínez-Rodríguez Macarena C. , Brox Piedad
Published: September 2024

The use of physical unclonable functions (PUFs) linked to the manufacturing process of the electronic devices supporting applications that exchange critical data over the Internet has made these elements essential to guarantee the authenticity of said devices, as well as the confidentiality and integrity of the information they process or transmit. This paper describes the development of a configurable PUF/TRNG module based on ring oscillators (ROs) that takes full advantage of the structure of modern programmable devices offered by Xilinx 7 Series families. The proposed architecture improves the hardware efficiency with two main objectives. On the one hand, we perform an exhaustive statistical characterization of the results derived from the exploitation of RO configurability. On the other hand, we undertake the development of a new version of the module that requires a smaller amount of resources while considerably increasing the number of output bits compared to other proposals previously reported in the literature. The design as a highly parameterized intellectual property (IP) module connectable through a standard interface to a soft- or hard-core general-purpose processor greatly facilitates its integration into embedded solutions while accelerating the validation and characterization of this element on the same electronic device that implements it. The studies carried out reveal adequate values of reliability, uniqueness, and unpredictability when the module acts as a PUF, as well as acceptable levels of randomness and entropy when it acts as a true random number generator (TRNG). They also illustrate the ability to obfuscate and recover identifiers or cryptographic keys of up to 4096 bits using an implementation of the PUF/TRNG module that requires only an array of 4×4 configurable logic blocks (CLBs) to accommodate the RO bank.
Low-Cost CO2 NDIR Sensors: Performance Evaluation and Calibration Using Machine Learning Techniques
Authors: Dubey Ravish , Telles Arina , Nikkel James , Cao Chang , Gewirtzman Jonathan , Raymond Peter A. , Lee Xuhui
Published: September 2024

The study comprehensively evaluates low-cost CO2 sensors from different price tiers, assessing their performance against a reference-grade instrument and exploring the possibility of calibration using different machine learning techniques. Three sensors (Sunrise AB by Senseair, K30 CO2 by Senseair, and GMP 343 by Vaisala) were tested alongside a reference instrument (Los Gatos precision greenhouse gas analyzer). The results revealed differences in sensor performance, with the higher cost Vaisala sensors exhibiting superior accuracy. Despite its lower price, the Sunrise sensors still demonstrated reasonable accuracy. Meanwhile, the K30 sensor measurements displayed higher variability and noise. Machine learning models, including linear regression, gradient boosting regression, and random forest regression, were employed for sensor calibration. In general, linear regression models performed best for extrapolating data, whereas decision tree-based models were generally more useful in handling non-linear datasets. Notably, a stack ensemble model combining these techniques outperformed the individual models and significantly improved sensor accuracy by approximately 65%. Overall, this study contributes to filling the gap in intercomparing CO2 sensors across different price categories and underscores the potential of machine learning for enhancing sensor accuracy, particularly in low-cost sensor applications.
Applications of an Electrochemical Sensory Array Coupled with Chemometric Modeling for Electronic Cigarettes
Authors: Eng Bryan , Dalby Richard N.
Published: September 2024

This study investigates the application of an eNose (electrochemical sensory array) device as a rapid and cost-effective screening tool to detect increasingly prevalent counterfeit electronic cigarettes, and those to which potentially hazardous excipients such as vitamin E acetate (VEA) have been added, without the need to generate and test the aerosol such products are intended to emit. A portable, in-field screening tool would also allow government officials to swiftly identify adulterated electronic cigarette e-liquids containing illicit flavorings such as menthol. Our approach involved developing canonical discriminant analysis (CDA) models to differentiate formulation components, including e-liquid bases and nicotine, which the eNose accurately identified. Additionally, models were created using e-liquid bases adulterated with menthol and VEA. The eNose and CDA model correctly identified menthol-containing e-liquids in all instances but were only able to identify VEA in 66.6% of cases. To demonstrate the applicability of this model to a commercial product, a Virginia Tobacco JUUL product was adulterated with menthol and VEA. A CDA model was constructed and, when tested against the prediction set, it was able to identify samples adulterated with menthol 91.6% of the time and those containing VEA in 75% of attempts. To test the ability of this approach to distinguish commercial e-liquid brands, a model using six commercial products was generated and tested against randomized samples on the same day as model creation. The CDA model had a cross-validation of 91.7%. When randomized samples were presented to the model on different days, cross-validation fell to 41.7%, suggesting that interday variability was problematic. However, a subsequently developed support vector machine (SVM) identification algorithm was deployed, increasing the cross-validation to 84.7%. A prediction set was challenged against this model, yielding an accuracy of 94.4%. Altered Elf Bar and Hyde IQ formulations were used to simulate counterfeit products, and in all cases, the brand identification model did not classify these samples as their reference product. This study demonstrates the eNose’s capability to distinguish between various odors emitted from e-liquids, highlighting its potential to identify counterfeit and adulterated products in the field without the need to generate and test the aerosol emitted from an electronic cigarette.
Sequential Injection Analysis Method for the Determination of Glutathione in Pharmaceuticals
Authors: Biocic Maja , Kraljević Tomislav , Spassov Tony G. , Kukoc-Modun Lea , Kolev Spas D.
Published: September 2024

A sequential injection analysis method for the determination of glutathione (GSH) in pharmaceuticals has been developed. It is based on the reduction of the Cu(II)-neocuproine complex by GSH and the formation of an orange-yellow colored Cu(I)-neocuproine complex with maximum absorbance at 458 nm. Under optimal conditions the method is characterized by a linear calibration range of 6.0 × 10−7–8.0 × 10−5 mol L−1 (Amax = 3270 CGSH − 0.0010; R2 = 0.9983), limit of detection of 2.0 × 10−7 mol L−1, limit of quantification of 6.7 × 10−7 mol L−1, repeatability (expressed as relative standard deviation) of 3.8%, and sampling rate of 60 h−1. The newly developed method has been successfully applied to the determination of GSH in pharmaceutical samples with no statistically significant difference between the results obtained and those produced by the standard Pharmacopoeia method.
Automated Crack Detection in Monolithic Zirconia Crowns Using Acoustic Emission and Deep Learning Techniques
Authors: Tuntiwong Kuson , Tungjitkusolmun Supan , Phasukkit Pattarapong
Published: September 2024

Monolithic zirconia (MZ) crowns are widely utilized in dental restorations, particularly for substantial tooth structure loss. Inspection, tactile, and radiographic examinations can be time-consuming and error-prone, which may delay diagnosis. Consequently, an objective, automatic, and reliable process is required for identifying dental crown defects. This study aimed to explore the potential of transforming acoustic emission (AE) signals to continuous wavelet transform (CWT), combined with Conventional Neural Network (CNN) to assist in crack detection. A new CNN image segmentation model, based on multi-class semantic segmentation using Inception-ResNet-v2, was developed. Real-time detection of AE signals under loads, which induce cracking, provided significant insights into crack formation in MZ crowns. Pencil lead breaking (PLB) was used to simulate crack propagation. The CWT and CNN models were used to automate the crack classification process. The Inception-ResNet-v2 architecture with transfer learning categorized the cracks in MZ crowns into five groups: labial, palatal, incisal, left, and right. After 2000 epochs, with a learning rate of 0.0001, the model achieved an accuracy of 99.4667%, demonstrating that deep learning significantly improved the localization of cracks in MZ crowns. This development can potentially aid dentists in clinical decision-making by facilitating the early detection and prevention of crack failures.
Assessment of Angular and Straight Linear Rowing Ergometers at Different Intensities of Exercise
Authors: Cardoso Ricardo , Rios Manoel , Fonseca Pedro , Leão Joana , Cardoso Filipa , Abraldes Jose Arturo , Gomes Beatriz B. , Vilas-Boas João Paulo , Fernandes Ricardo J.
Published: September 2024

We aimed to conduct a biophysical comparison of angular (Biorower) and linear (Concept2) rowing ergometers across a wide spectrum of exercise intensities. Sixteen (eleven male) skilled rowers, aged 29.8 ± 8.6 and 23.6 ± 1.5 years, with international competitive experience, performed 7 × 3 min bouts with 30 W increments and 60 s intervals, plus 1 min of all-out rowing on both machines with 48 h in between. The ventilatory and kinematical variables were measured breath-by-breath using a telemetric portable gas analyzer and determined using a full-body markerless system, respectively. Similar values of oxygen uptake were observed between ergometers across all intensity domains (e.g., 60.36 ± 8.40 vs. 58.14 ± 7.55 mL/min/kg for the Biorower and Concept2 at severe intensity). The rowing rate was higher on the Biorower vs. Concept2 at heavy and severe intensities (27.88 ± 3.22 vs. 25.69 ± 1.99 and 30.63 ± 3.18 vs. 28.94 ± 2.29). Other differences in kinematics were observed across all intensity domains, particularly in the thorax angle at the finish (e.g., 19.44 ± 4.49 vs. 27.51 ± 7.59° for the Biorower compared to Concep2 at heavy intensity), likely due to closer alignment of the Biorower with an on-water rowing technique. The overall perceived effort was lower on the Biorower when compared to the Concept2 (14.38 ± 1.76 vs. 15.88 ± 1.88). Rowers presented similar cardiorespiratory function on both rowing ergometers, while important biomechanical differences were observed, possibly due to the Biorower’s closer alignment with an on-water rowing technique.
The Improvement of Density Peaks Clustering Algorithm and Its Application to Point Cloud Segmentation of LiDAR
Authors: Wang Zheng , Fang Xintong , Jiang Yandan , Ji Haifeng , Wang Baoliang , Huang Zhiyao
Published: September 2024

This work focuses on the improvement of the density peaks clustering (DPC) algorithm and its application to point cloud segmentation in LiDAR. The improvement of DPC focuses on avoiding the manual determination of the cut-off distance and the manual selection of cluster centers. And the clustering process of the improved DPC is automatic without manual intervention. The cut-off distance is avoided by forming a voxel structure and using the number of points in the voxel as the local density of the voxel. The automatic selection of cluster centers is realized by selecting the voxels whose gamma values are greater than the gamma value of the inflection point of the fitted γ curve as cluster centers. Finally, a new merging strategy is introduced to overcome the over-segmentation problem and obtain the final clustering result. To verify the effectiveness of the improved DPC, experiments on point cloud segmentation of LiDAR under different scenes were conducted. The basic DPC, K-means, and DBSCAN were introduced for comparison. The experimental results showed that the improved DPC is effective and its application to point cloud segmentation of LiDAR is successful. Compared with the basic DPC, K-means, the improved DPC has better clustering accuracy. And, compared with DBSCAN, the improved DPC has comparable or slightly better clustering accuracy without nontrivial parameters.
Evaluating the Impact of Pre-Configured Uplink Resources in Narrowband IoT
Authors: Abbas Muhammad Tahir , Grinnemo Karl-Johan , Brunstrom Anna , Jörke Pascal , Eklund Johan , Alfredsson Stefan , Rajiullah Mohammad , Wietfeld Christian
Published: September 2024

Deploying Cellular Internet of Things (CIoT) devices in urban and remote areas faces significant energy efficiency challenges. This is especially true for Narrowband IoT (NB-IoT) devices, which are expected to function on a single charge for up to 10 years while transmitting small amounts of data daily. The 3rd Generation Partnership Project (3GPP) has introduced energy-saving mechanisms in Releases 13 to 16, including Early Data Transmission (EDT) and Preconfigured Uplink Resources (PURs). These mechanisms extend battery life and reduce latency by enabling data transmission without an active Radio Resource Control (RRC) connection or Random Access Procedure (RAP). This paper examines these mechanisms using the LENA-NB simulator in the ns-3 environment, which is a comprehensive framework for studying various aspects of NB-IoT. The LENA-NB has been extended with PURs, and our analysis shows that PURs significantly enhance battery life and latency efficiency, particularly in high-density environments. Compared to the default RAP method, PURs reduce energy consumption by more than 2.5 times and increases battery life by 1.6 times. Additionally, PURs achieve latency reductions of 2.5–3.5 times. The improvements with PURs are most notable for packets up to 125 bytes. Our findings highlight PURs’ potential to enable more efficient and effective CIoT deployments across various scenarios. This study represents a detailed analysis of latency and energy consumption in a simulated environment, advancing the understanding of PURs’ benefits.
Methods and Software Tools for Reliable Operation of Flying LiFi Networks in Destruction Conditions
Authors: Fesenko Herman , Illiashenko Oleg , Kharchenko Vyacheslav , Leichenko Kyrylo , Sachenko Anatoliy , Scislo Lukasz
Published: September 2024

The analysis of utilising unmanned aerial vehicles (UAVs) to form flying networks in obstacle conditions and various algorithms for obstacle avoidance is conducted. A planning scheme for deploying a flying LiFi network based on UAVs in a production facility with obstacles is developed and described. Such networks are necessary to ensure reliable data transmission from sensors or other sources of information located in dangerous or hard-to-reach places to the crisis centre. Based on the planning scheme, the following stages are described: (1) laying the LiFi signal propagation route in conditions of interference, (2) placement of the UAV at the specified points of the laid route for the deployment of the LiFi network, and (3) ensuring the reliability of the deployed LiFi network. Strategies for deploying UAVs from a stationary depot to form a flying LiFi network in a room with obstacles are considered, namely the strategy of the first point for the route, the strategy of radial movement, and the strategy of the middle point for the route. Methods for ensuring the uninterrupted functioning of the flying LiFi network with the required level of reliability within a given time are developed and discussed. To implement the planning stages for deploying the UAV flying LiFi network in a production facility with obstacles, the “Simulation Way” and “Reliability Level” software tools are developed and described. Examples of utilising the proposed software tools are given.
Validity of an Inertial Measurement Unit System to Measure Lower Limb Kinematics at Point of Contact during Incremental High-Speed Running
Authors: Wolski Lisa , Halaki Mark , Hiller Claire E. , Pappas Evangelos , Fong Yan Alycia
Published: September 2024

There is limited validation for portable methods in evaluating high-speed running biomechanics, with inertial measurement unit (IMU) systems commonly used as wearables for this purpose. This study aimed to evaluate the validity of an IMU system in high-speed running compared to a 3D motion analysis system (MAS). One runner performed incremental treadmill running, from 12 to 18 km/h, on two separate days. Sagittal angles for the shank, knee, hip and pelvis were measured simultaneously with three IMUs and the MAS at the point of contact (POC), the timing when the foot initially hits the ground, as identified by IMU system acceleration, and compared to the POC identified via force plate. Agreement between the systems was evaluated using intra-class correlation coefficients, Pearson’s r, Bland–Altman limits of agreements, root mean square error and paired t-tests. The IMU system reliably determined POC (which subsequently was used to calculate stride time) and measured hip flexion angle and anterior pelvic tilt accurately and consistently at POC. However, it displayed inaccuracy and inconsistency in measuring knee flexion and shank angles at POC. This information provides confidence that a portable IMU system can aid in establishing baseline running biomechanics for performance optimisation, and/or inform injury prevention programs.
Application of Coffee Silverskin Cellulose/Polyacrylamide Gel Polymer Electrolytes for Rechargeable Zinc-Ion Batteries
Authors: Loryuenyong Vorrada , Khamsawat Jessada , Danwong Panuwit , Buasri Achanai , Pattananuwat Prasit
Published: September 2024

Rechargeable zinc-ion batteries (ZIBs) have grown in popularity due to their low cost and the abundance of resources. However, there has been little research into the development of gel polymer electrolytes (GPEs) for high voltage and capacity ZIBs. The use of agricultural waste as a polymer electrolyte (PE) is gradually increasing in order to support a circular economy. This study focuses on the utilization of cellulose derived from coffee silverskin (CS); coffee silverskin is a by-product generated during coffee roasting. We employ a reasonable approach to create the coffee silverskin cellulose (CSC)/polyacrylamide (PAM) GPE, with the goal of achieving good properties and improved battery performance. An investigation was conducted to determine the effect of CSC content in GPEs on ZIB characteristics. The cellulose derived from CS had a crystallinity index (CrI) of 64.60%. The optimal amount of cellulose added to the acrylamide monomer (AM) for the GPE of ZIB was found to be 2.5 mg (CSC/AM/salt weight ratio of 0.01/6/23). This amount resulted in the highest electrochemical stability and a cycling time of approximately 226 h. Furthermore, the PAM/Cellulose 2.5-based GPE exhibited increased Young’s modulus and tensile strength compared to the pure PAM. The electrochemical impedance spectroscopy (EIS) test revealed a diffusion resistance of 27.47 Ω and an ionic conductivity of 9.10 mS/cm at a temperature of 25 °C. Additionally, the use of cellulose in GPEs does not affect the electrochemical window. When the pure PAM-based GPE was compared to the CSC/PAM-based GPE, the biocomposites demonstrated electrochemical stability for a cycle life of over 200 cycles in the ZIB application.
Design of Selective Nanoparticles of Layered Double Hydroxide (Mg/Al-LDH) for the Analysis of Anti-Inflammatory Non-Steroidal Agents in Environmental Samples, Coupled with Solid-Phase Extraction and Capillary Electrophoresis
Authors: Aurelio-Soria David , Canales Xochitl H. , Vázquez-Garrido Isai , Islas Gabriela , Álvarez-Romero Giaan A. , Ibarra Israel S.
Published: September 2024

A simple, fast, and low-cost pre-concentration methodology based on the application of solid-phase extraction coupled to layered double hydroxides (LDHs) and capillary electrophoresis was developed for the determination of naproxen (NPX), diclofenac (DFC), and ibuprofen (IBP) in environmental sample waters. A systematic study of the LDH composition was designed, including the effects of interlayer anions (NO3−, Cl−, CO32−, BenO−, and SDS−) and the effect of molar ratio (Mg:Al). The optimal composition of MgAl/Cl−-LDH (Mg:Al; 1.5:1.0) was coupled to an SPE system: pH (neutral pH), LDH amount (15 mg), and extraction capacity ranged from 79.71 to 83.11% for the three anti-inflammatory non-steroidal agents analyzed. A recovery rate of up to 80.87% was obtained when 0.01 M chloride acid in methanol was used as the eluent and 50 mL of sample was used. Under optimal conditions, the linear range of the calibration curve ranges from 18.02 to 200 μg L−1, with limits of detection ranging from 6.03 to 18.02 μg L−1 for the three NSAIDs. The precision of the methodology was evaluated in terms of inter- and intra-day repeatability, with %RSD < 10% in all cases. The proposed method was applied to analyze environmental water samples (bottle, tap, cistern, well, and river water samples). The developed method is a robust technique capable of combining with other analytical methods to quantitatively determine anti-inflammatory non-steroidal agents.
Evolving Social Media Strategies in Local Journalism: Experiences from Argentine Patagonia
Authors: Rost Alejandro , Bernardi María Teresa , Bergero Fabián
Published: September 2024

Studies on journalistic work and production on social media typically focus on large media outlets in developed countries. In this article, we shift the lens to a peripheral area of a peripheral country: Argentine Patagonia. Our objective was to analyse journalistic production on Instagram, Facebook, and Twitter in the eight most-followed local and regional news media outlets. We analysed the narratives, the extent to which they apply transmedia journalism, and how they have evolved compared to studies from 2021. We also conducted structured interviews with social media managers to gain insight into their professional practices. We conclude that, 15 years since the creation of the first profiles, promoting website content remains the primary goal of North Patagonian media networks. Since 2021, there have been more frequent updates but less native production, especially on Facebook and Twitter. Despite the shortage of staff and precarious working conditions, some news media outlets have been able to innovate on Instagram, introducing a variety of multimedia formats, a more conversational tone, diverse update rhythms, adapted content, and even specific content that is organised into sections. Information production for the platforms has been integrated into journalistic routines even when public interaction with the audience remains very limited.
Research on the Dynamics of Word-of-Mouth Influencing Stock Prices
Authors: Li Wanglai , Shen Huizhang , Huang Zhangxue , Yang Hanzhe , Zhao Jidi
Published: September 2024

Word-of-mouth (WOM) can be considered one form of public opinion, reflecting consumers’ views towards product or service quality. With the development of social media, WOM holds influence over investors and subsequently impacts the stock prices of companies. The purpose of this study is to uncover the dynamics encompassing the factors that influence WOM, its propagation mechanisms, and the consequential impact on reality illustrated through fluctuations in stock prices. The mathematical model to describe the whole process can be separated into two components: information propagation model and stock price fluctuation model. The cumulative abnormal return (CAR) is used to demonstrate fluctuations in stock prices. Utilizing a Lyapunov function, it is proven that the equilibrium point of the model is globally asymptotically stable. As for the real world, it suggests that WOM will eventually prevail online, leading to fluctuations in stock prices. Based on the event study method, the empirical examination of 43 real events shows that our model can effectively predict the CAR and reflect the influence on stock prices caused by WOM in real-world scenarios.
Availability of Using Honeybees and Hive Products as Bioindicators of Ambient Pesticide Exposure in Taiwan
Authors: Hung Chien-Che , Chang Wei-Cheng , Hsueh Chung-Wen , Yiin Lih-Ming
Published: September 2024

Honeybees and hive products could be used as bioindicators of pesticide exposure in surrounding areas, but the associations have rarely been examined. We collected samples of bees, hive products and environmental dust from 12 apiaries during the blooming season in eastern Taiwan and assessed the relationships between pesticides in apiarian samples and the environment. Samples were analyzed for 14 pesticides using gas or liquid chromatography coupled with mass spectrometry. Sick bees, dead bees, bee pollen, beeswax and environmental dust in the outer rings (>150 m) surrounding the apiaries were contaminated with high levels of pesticides (mean concentration: >270 ng/g in total). In terms of concentrations of all pesticides, insecticides, herbicides and fungicides, most apiarian sample matrices were significantly correlated with environmental dust within a range of 2.5 km (ρ > 0.6, p < 0.05), suggesting their potential as bioindicators. Of those apiarian matrices with high contamination contents, dead bees or beeswax may be a good bioindicator for all pesticides but not for herbicides, because of the insignificant correlation with environmental dust (ρ < 0.5). For all types of pesticides, we recommend sick bees and bee pollen as choices for bioindicators, because of their high contamination levels for detection and complete representativeness of the environment.
Spatiotemporal Patterns and Equity Analysis of Premature Mortality Due to Ischemic Heart Disease Attributable to PM2.5 Exposure in China: 2007–2022
Authors: Zhong Yanling , Guo Yong , Liu Dingming , Zhang Qiutong , Wang Lizheng
Published: September 2024

Long-term exposure to PM2.5 pollution increases the risk of cardiovascular diseases, particularly ischemic heart disease (IHD). Current assessments of the health effects related to PM2.5 exposure are limited by sparse ground monitoring stations and applicable disease research cohorts, making accurate health effect evaluations challenging. Using satellite-observed aerosol optical depth (AOD) data and the XGBoost-PM25 model, we obtained 1 km scale PM2.5 exposure levels across China. We quantified the premature mortality caused by PM2.5-exposure-induced IHD using the Global Exposure Mortality Model (GEMM) and baseline mortality data. Furthermore, we employed the Gini coefficient, a measure from economics to quantify inequality, to evaluate the distribution differences in health impacts due to PM2.5 exposure under varying socioeconomic conditions. The results indicate that PM2.5 concentrations in China are higher in the central and eastern regions. From 2007 to 2022, the national overall level showed a decreasing trend, dropping from 47.41 μg/m3 to 25.16 μg/m3. The number of premature deaths attributable to PM2.5 exposure increased from 819 thousand in 2007 to 870 thousand in 2022, with fluctuations in certain regions. This increase is linked to population growth and aging because PM2.5 levels have decreased. The results also indicate disparities in premature mortality from IHD among different economic groups in China from 2007 to 2022, with middle-income groups having a higher cumulative proportion of IHD-related premature deaths compared with high- and low-income groups. Despite narrowing GDP gaps across regions from 2007 to 2022, IHD consistently “favored” the middle-income groups. The highest Gini coefficient was observed in the Northwest (0.035), and the lowest was in the South (0.019). Targeted policy interventions are essential to establish a more equitable atmospheric environment.
Effects on Iron Metabolism and System Xc− /GPX4 Pathway from Hydroquinone Suggest Ferroptosis of Jurkat Cells
Authors: Liu Nana , Liu Ge , Li Qiang , Hu Yipeng , Wang Hong
Published: September 2024

Prolonged exposure to hydroquinone (HQ), a metabolite of benzene, can cause severe haematologic disorders in humans. However, the mechanism is still unclear. In the present study, we investigated whether HQ can induce haematological diseases through ferroptosis, which is another form of cell death apart from apoptosis. The results showed that HQ inhibited the viability of Jurkat cells in a dose-dependent and time-dependent manner. The half inhibitory concentrations (IC50s) of HQ-treated Jurkat cells for 12 h, 24 h and 48 h were 107.16 μmol/L, 33.29 μmol/L, and 14.78 μmol/L. The exposure of Jurkat cells to HQ increased intracellular Fe2+, malondialdehyde (MDA) and lipid reactive oxygen species (ROS) levels and down-regulated glutathione (GSH) levels. We used erastin-treated cells as a positive control and cells treated with HQ combined with deferoxamine mesylate (DFO) and ferrostain-1 (Fer-1)-treated cells as the negative controls. DFO and Fer-1 partially restored the degradation of cell viability and GSH content and the accumulation of Fe2+, MDA and lipid ROS caused by HQ. In addition, we found that cellular mitochondria in the HQ-treated group showed a decrease in volume, an increase in the density of the bilayer membrane and a decrease or disappearance of mitochondrial cristae. Changes in the erastin-treated group were similar to those in the HQ-treated group. We inferred that HQ induces ferroptosis in Jurkat cells. Subsequently, we found that HQ up-regulated the levels of transferrin receptor 1 (TFRC) mRNA and protein expression and down-regulated FTH1, SLC7A11 and synthetic substrate of antioxidant enzyme 4 (GPX4) mRNA levels and protein expression levels. However, the exposure of Jurkat cells to HQ with DFO and Fer-1 alleviated these changes. Notably, the activation of TFRC and the inhibition of FTH1 and System Xc− (cystine–glutamate reverse transporter protein) /GPX4 were associated with HQ-induced ferroptosis. These results provide novel insights into how HQ exacerbates haematopoietic cytotoxicity and provide potential targets for the prevention of HQ-induced diseases.
Heavy Metal Accumulation in Oysters from an Aquaculture Area in the Luoyangjiang River Estuary
Authors: Ke Yizhou , Ou Changchun , Guo Xiaoyu , Liu Shuyi , Yao Chenlu , Shi Bo , Que Huayong
Published: September 2024

Oysters are a group of economically important bivalves in China, with estuaries serving as one of their primary cultivation areas. However, heavy metal pollution in these estuarine environments poses a potential threat to aquaculture by leading to the accumulation of heavy metals in farmed oysters, which could impact their safety and marketability. This study was conducted in the aquaculture area of the Luoyangjiang River estuary, where eight sampling sites were selected. Water, sediment, and oysters categorized by shell length were collected from each site. The concentrations of heavy metals (Ag, As, Cd, Cr, Cu, Ni, Pb, and Zn) were determined in both the environmental samples and oyster tissues. Additionally, multiplex species-specific PCR was used to identify oyster species. The results showed significant variations in dissolved-phase and suspended particulate matter (SPM) metal concentrations across different sampling sites, while sediment metal concentrations were more consistent but similar to those in SPM. The large oysters were comprised of 50% Magallana angulata and 50% Magallana gigas, while small oysters were identified as Magallana sikamea. The Cd, Cu, Pb, and Zn levels in both size groups of oysters exceeded data from previous studies, indicating contamination in the estuary. The observed differences in heavy metal concentrations between large and small oysters primarily reflect species-specific variability in metal accumulation, which may also be influenced by factors such as growth and exposure duration. Furthermore, the lack of significant correlation between metal concentrations in environmental media and oysters suggests that oysters may be exposed to multiple sources of metal contamination.
Air Quality Awareness—Empirical Evidence from a Comparative Perspective between Two European Cities
Authors: Salimbene Ornella , Baeza-Romero María Teresa , Pilla Francesco , Čok Gregor
Published: September 2024

This research, conducted as part of the European project PA-MAP (Participatory Approach to Monitoring Air Quality in Urban Environments), investigates citizens’ perceptions of air pollution in two European cities: Turin (Italy) and Dublin (Ireland). We systematically collected social data through semi-structured surveys distributed via online platforms. Our aim was to gather comprehensive information on the perception of pollution sources and the effectiveness of control systems. We examined citizens’ habits and their suggestions to improve air quality. The results revealed the following: (1) In Turin, the perception of air pollution significantly influences individuals’ self-assessments of health. Consequently, increased vigilance is required to mitigate environmental health risks and to disseminate information on air quality and effective practices for reducing air pollution. (2) The use of sustainable transportation in Turin is hindered due to the inadequate maintenance of cycling infrastructure. Citizens prefer to use cars or trains, which facilitate rapid travel. (3) In Dublin, greater sensitivity to the problem of air pollution has emerged, and the use of sustainable means of transport is facilitated via ad hoc infrastructure. These results provide empirical evidence to policymakers to support the promotion of concrete local actions through which to improve air quality.
Stability Preparedness: The Not-So-Cold Case for Innovations in Vaccine Stability Modelling and Product Release
Authors: Schnetzinger Franz , Clénet Didier , Gilbert Philippe-Alexandre , Guzzi Antonio , Paludi Marilena , Weusten Jos , Hesselink Renske
Published: September 2024

The rapid development of equitably accessible vaccines is paramount in addressing emerging global health challenges. The safety and efficacy of vaccines hinge significantly on their ability to remain stable from manufacturing throughout the supply chain and up to administration. Furthermore, the release of vaccines requires sufficient understanding of the stability profile to allow for expiration dating. In the event of a public health crisis, the time to generate the necessary stability data and the need for rapid product release are in direct opposition. Developing manufacturing platforms with thermostable product formulations for rapid response is therefore key to meeting CEPI’s 100 Days Mission goal. This Review aims to highlight the need for stability preparedness through developing thermostable vaccine platforms and exploring innovative stability monitoring strategies that leverage advanced technologies, predictive modelling, and adaptive methodologies. By doing so, we seek to enhance the efficiency and effectiveness of stability assessments, supporting rapid development, regulatory approval, and widespread, equal distribution of vaccines—especially in an outbreak scenario. Finally, enhanced thermostability will allow for simplification across the supply chain, which will reduce the financial burden of vaccination programmes and enhance equitable access.
Safety and Immunogenicity of the Intranasal Vaccine Candidate Mambisa and the Intramuscular Vaccine Abdala Used as Booster Doses for COVID-19 Convalescents: A Randomized Phase 1–2 Clinical Trial
Authors: Lemos-Pérez Gilda , Barrese-Pérez Yinet , Chacón-Quintero Yahima , Uranga-Piña Rolando , Avila-Albuerne Yisel , Figueroa-García Iglermis , Calderín-Marín Osaida , Gómez-Vázquez Martha M. , Piñera-Martínez Marjoris , Chávez-Valdés Sheila , Martínez-Rosales Ricardo , Ávila-Díaz Lismary , Vázquez-Arteaga Amalia , González-Formental Hany , Freyre-Corrales Giselle , Coizeau-Rodríguez Edelgis , Limonta-Fernández Miladys , Ayala-Avila Marta , Martínez-Díaz Eduardo , Pimentel-Vazquez Eulogio , Guillen Gerardo
Published: September 2024

A phase 1–2, prospective, multicenter, randomized, open-label clinical trial (Code RPCEC00000382), with parallel groups, involving 1161 participants, was designed to assess the safety and immunogenicity of two Cuban COVID-19 vaccines (Mambisa and Abdala) in boosting COVID-19 immunity of convalescent adults after receiving one dose of either vaccine. The main safety outcome was severe vaccination adverse events occurring in <5% of vaccinees. Main immunogenicity success endpoints were a ≥4-fold anti-RBD IgG seroconversion or a ≥20% increase in ACE2-RBD inhibitory antibodies in >55% of vaccinees in Phase 1 and >70% in Phase 2. Neutralizing antibody titers against SARS-CoV-2 variants were evaluated. Both vaccines were safe—no deaths or severe adverse events occurred. Mild intensity adverse events were the most frequent (>73%); headaches predominated for both vaccines. Phase 1 responders were 83.3% (p = 0.0018) for Abdala. Mambisa showed similar results. Phase 2 responders were 88.6% for Abdala (p < 0.0001) and 74.2% for Mambisa (p = 0.0412). In both phases, anti-RBD IgG titers, inhibition percentages and neutralizing antibody titers increased significantly after the booster dose. Both vaccines were safe and their immunogenicity surpassed the study endpoints.
Population Movement and Poliovirus Spread across Pakistan and Afghanistan in 2023
Authors: Sodhar Irshad Ali , Mehraj Jaishri , Hussaini Anum S. , Aamir Muhammad , Mahsaud Jahanuddin , Ahmed Shabbir , Shaikh Ahmed Ali , Zardari Asif Ali , Rasool Shumaila , Chandio Shoukat Ali , Stuckey Erin M.
Published: September 2024

Population movement dynamics are a critical part of understanding communicable disease transmission patterns and determining where, when, and with whom to deliver appropriate prevention interventions. This study aimed to identify the origin of the Afghan population and their patterns of movement within Karachi, to assess the polio vaccination status of children under the age of five, and to investigate the travel history and guest arrival patterns of individuals from Afghanistan and other regions known to be affected by wild poliovirus type 1 (WPV1) within the past six months. A cross-sectional survey was conducted in selected 12 union councils of Karachi, Pakistan. The data were collected through interviews with Afghan household members and from the frontline workers (FLWs) responsible for the polio vaccination of the children of the same households. Cohen’s kappa was used to check the agreement between information provided by the household participant and FLWs. A total of 409 Afghan household members were interviewed. Travel of any household member outside the city within the last six months was reported by 105 (25.7%) participants, 140 (34.2%) hosted guests within the last six months, and 92 (22.5%) participants reported that guest children were vaccinated in their households. A total of 230 (56.2%) participants observed polio teams at relatives’ households within Karachi, and 127 (31.1%) observed polio teams at relatives’ households outside Karachi in different districts of Pakistan and Afghanistan. Fair to moderate agreement was observed between information provided by the household members and FLWs on the variable’s duration of living at current residence (Kappa = 0.370), travel history (Kappa = 0.429), guest arrival (Kappa = 0.395), and household children vaccinated for OPV (Kappa = 0.419). Substantial population mobility was observed between Afghanistan and Pakistan as well as significant movement of the Afghan population within Karachi in the last six months. These findings warrant attention and targeted implementation of interventions to enhance and sustain both routine and supplementary immunization activities within this demographic group.
The Role of Behavioral Management in Enhancing Clinical Care and Efficiency, Minimizing Social Disruption, and Promoting Welfare in Captive Primates
Authors: Oppler Scott H. , Palmer Sierra D. , Phu Sydney N. , Graham Melanie L.
Published: September 2024

Medical procedures necessary for routine care can induce stress in both the veterinary and human clinical situations. In the research environment, nonhuman primates undergo procedures like physical examination, blood sampling, and intravenous drug or fluid administration either as a part of routine veterinary care or during the modeling of clinical disease and interventions under study. Behavioral management techniques, such as training for cooperation, allow caregivers to train primates to voluntarily engage in various medical procedures. This approach reduces stress and anxiety associated with necessary procedures, thereby enhancing efficiency and minimizing the invasiveness of medical care. Consequently, veterinary evaluation and care can be provided without compromise, resulting in enhanced clinical outcomes and overall better health. In this study, we explored the impact of the behavioral management program implemented at our center on a subset of animals undergoing routine veterinary care, focusing on the overall experience, including animal welfare, scientific rigor, and efficiency in terms of economics and time. We investigated its impact on key factors, such as the total procedure and recovery time, incidence of side effects, and welfare indicators, revealing a significant positive influence on animal care. Furthermore, through case studies, we illustrate how behavioral management facilitates timely medical care and monitoring, effectively mitigating stressors that could otherwise impair health and welfare, enabling the provision of care that would have otherwise been unachievable. A thoughtfully designed primate behavioral management program, integrating cooperation and participation with veterinary care, forms the cornerstone of superior animal welfare, enhanced clinical care, and more accurate scientific outcomes.
First Evidence of Rickettsia conorii Infection in Dogs in Northern Tunisia
Authors: Gharbi Zeyneb , Ouni Ahmed , Balti Ghofrane , Bouattour Ali , Chabchoub Ahmed , M’ghirbi Youmna
Published: September 2024

A cross-sectional study was carried out, between April 2021 and June 2022, to understand the role of dogs in the circulation of rickettsiosis in Tunisia. The presence of specific IgG antibodies against Rickettsia conorii was analyzed by indirect immunofluorescence test. By qPCR, blood and ticks were collected from 136 dogs examined at the Canine Department of National School for Veterinary Medicine of Tunisia. These dogs were also analyzed to detect Rickettsia DNA. The rate of Rickettsia seropositivity in 136 dogs was 55.14%. A total of 51 (53%) seropositive dogs showed clinical and biological signs such as fever and anorexia as well as thrombocytopenia and anemia. By qPCR, targeting the mitochondrial 16S rRNA gene, no Rickettsia DNA was detected in the blood. On the other hand, qPCR followed by sequencing revealed the presence of R. conorii subsp. raoultii in 7 tick pools of the 51 pools composed of the 227 ticks collected. A One Health approach to raise the awareness of dog owners to control tick infestations is imperative, given the dangers of canine zoonoses.
In Vivo Study of Inoculation Approaches and Pathogenicity in African Swine Fever
Authors: Xu Qian , Li Dongfan , Chen Xiaoyu , Liu Xiaoli , Cao Hua , Wang Hui , Wu Haowei , Cheng Tangyu , Ren Wenhui , Xu Fengqin , He Qigai , Yu Xuexiang , Li Wentao
Published: September 2024

African swine fever is an extremely infectious viral disease that can cause nearly 100% mortality in domestic pigs. In this study, we isolated an ASFV strain HB31A and characterized it using hemadsorption assay, immunofluorescence assay, and electron microscopy. We then performed animal experiments on 20-day-old pigs through intramuscular and oronasal inoculations with HB31A. Pigs in the intramuscular group exhibited more consistent clinical disease, with an incubation period of 4.33 ± 0.47 days and a 100% mortality rate within 6.67 (±0.47) days post-inoculation (dpi). In contrast, the oronasal group experienced a longer course of disease, with an incubation period of 6.00 ± 0.82 days. Two out of three pigs in the oronasal group died at 8 and 10 dpi, while the surviving pig exhibited chronic disease and persistent infection, intermittently excreting ASFV through the oral, nasal, and rectal pathways. Virus DNA was found in oral, nasal, and rectal swabs at 1–3 dpi in the intramuscular group and at 3–5 dpi in the oronasal group. In summary, HB31A is highly lethal to domestic pigs, and field-infected pigs have the potential to develop non-lethal, chronic disease and persistent infection, with intermittent viral shedding, even when infected with a highly virulent strain. These findings offer a valuable understanding of the viral dynamics and pathogenicity of ASFV and highlight the difficulties in diagnosing, preventing, and controlling African swine fever.