bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation and Properties of PA10T/PPO Blends Compatibilized with SEBS-g-MAH
Authors: Xia Housheng , Jiang Zhen , Tang Jiaxiang , Tang Jiao , Zhou Jianping , Yang Zize , Zheng Rongbo , Niu Junfeng
Published: June 2024

Plant-derived PA10T is regarded as one of the most promising semi-aromatic polyamides; however, shortcomings, including low dimensional accuracy, high moisture absorption, and relatively high dielectric constant and loss, have impeded its extensive utilization. Polymer blending is a versatile and cost-effective method to fabricate new polymeric materials with excellent comprehensive performance. In this study, various ratios of PA10T/PPO blends were fabricated via melt blending with the addition of a SEBS-g-MAH compatibilizer. Molau test and scanning electron microscopy (SEM) were employed to study the influence of SEBS-g-MAH on the compatibility of PA10T and PPO. These studies indicated that SEBS-g-MAH effectively refines the domain size of the dispersed PPO phase and improves the dispersion stability of PPO particles within a hexafluoroisopropanol solvent. This result was attributed to the in situ formation of the SEBS-g-PA10T copolymer, which serves as a compatibilizer. Differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) results showed that the melting–crystallization behavior and thermal stability of blends closely resembled that of pure PA10T. Dynamic mechanical analysis (DMA) revealed that as the PPO content increased, there was a decrease in the glass transition temperature and storage modulus of PA10T. The water absorption rate, injection molding shrinkage, dielectric properties, and mechanical strength of blends were also systematically investigated. As the PPO content increased from 10% to 40%, the dielectric loss at 2.5 GHz decreased significantly from 0.00866 to 0.00572, while the notched Izod impact strength increased from 7.9 kJ/m2 to 13.7 kJ/m2.
Influence of Thermal Aging on Space Charge Characteristics and Electrical Conduction Behavior of Cross-Linked Polyethylene Cable Insulation
Authors: Yang Jie , Li Ruizhe , Hu Leiyu , Wang Weiwang
Published: June 2024

The aging of cable insulation presents a significant threat to the safe operation of cables, with space charge serving as a crucial factor influencing cable insulation degradation. However, the characteristics related to space charge and conduction current behavior during thermal aging remain unclear. This study focused on the thermal aging of cross-linked polyethylene (XLPE) material and utilizes a combined pulse electro-acoustic (PEA) and conduction current testing system to analyze the space charge and conduction current characteristics in the sample under varying electric fields and temperatures. The average charge density, short-circuit residual electric field, electric field distortion rate, and conduction current were studied. The findings indicate that the space charge in the samples following thermal aging is predominantly governed by the injected charge. The amorphous region of XLPE decreases, while the cross-linking degree increases after aging, thereby facilitating charge carrier migration within the sample and reducing the generation of charge carriers through thermal pyrolysis. The minimum temperature required for charge injection is reduced by thermal aging. Furthermore, modifications in conduction current, residual electric field, and average charge density indicate that thermal aging has the potential to alter the microstructure and trap characteristics of XLPE. This study provides empirical evidence to elucidate the underlying mechanism of cable insulation aging.
Effect of Cremophor RH40, Hydroxypropyl Methylcellulose, and Mixing Speed on Physicochemical Properties of Films Containing Nanostructured Lipid Carriers Loaded with Furosemide Using the Box–Behnken Design
Authors: Kraisit Pakorn , Hirun Namon , Limpamanoch Premjit , Sawaengsuk Yongthida , Janchoochai Narumol , Manasaksirikul Ornpreeya , Limmatvapirat Sontaya
Published: June 2024

This study aimed to examine the characteristics of H-K4M hydroxypropyl methylcellulose (HPMC) films containing nanostructured lipid carriers (NLCs) loaded with furosemide. A hot homogenization technique and an ultrasonic probe were used to prepare and reduce the size of the NLCs. Films were made using the casting technique. This study used a Box–Behnken design to evaluate the influence of three key independent variables, specifically H-K4M concentration (X1), surfactant Cremophor RH40 concentration (X2), and mixing speed (X3), on the physicochemical properties of furosemide-loaded NLCs and films. The furosemide-loaded NLCs had a particle size ranging from 54.67 to 99.13 nm, and a polydispersity index (PDI) ranging from 0.246 to 0.670. All formulations exhibited a negative zeta potential, ranging from −7.05 to −5.61 mV. The prepared films had thicknesses and weights ranging from 0.1240 to 0.2034 mm and 0.0283 to 0.0450 g, respectively. The drug content was over 85%. Film surface wettability was assessed based on the contact angle, ranging from 32.27 to 68.94°. Film tensile strength varied from 1.38 to 7.77 MPa, and their elongation at break varied from 124.19 to 170.72%. The ATR-FTIR analysis confirmed the complete incorporation of the drug in the film matrix. Therefore, the appropriate selection of values for key parameters in the synthesis of HPMC films containing drug-loaded NLCs is important in the effective development of films for medical applications.
Synthesis and Characterization of Self-Assembled Highly Stearate-Grafted Hydroxyethyl Starch Conjugates
Authors: Hore Rana , Rashid Haroon , Syrowatka Frank , Kressler Jörg
Published: June 2024

Polysaccharide-based nanoformulations with tailored hydrophobic properties have become a frontier in nanomedicine applications. Herein, highly hydrophobicized hydroxyethyl starch (HES) conjugates were synthesized by grafting stearic acid (SA) with HES via a carbodiimide-mediated reaction. A detailed NMR characterization of HES and the conjugates was studied to obtain structural information. The grafting ratio of the stearate-HES (St-HES) conjugates was determined from 1H NMR spectra as 29.4% (St-HES29.4) and 60.3% (St-HES60.3). Thermal analyses and X-ray diffractograms suggested an entire transition from amorphous HES to a semicrystalline (St-HES60.3) character upon increasing the degree of grafting. Both conjugates, St-HES29.4 and St-HES60.3, were able to form self-assembled particles with a diameter of 130.7 nm and 152.5 nm, respectively. SEM images showed that the self-aggregates were mostly spherical in shape. These conjugates can be employed to entrap highly hydrophobic drugs with an increased encapsulation efficiency and loading capacity.
A Catalogue of Impact Craters and Surface Age Analysis in the Chang’e-6 Landing Area
Authors: Wang Yexin , Nan Jing , Zhao Chenxu , Xie Bin , Gou Sheng , Yue Zongyu , Di Kaichang , Zhang Hong , Deng Xiangjin , Sun Shujuan
Published: June 2024

Chang’e-6 (CE-6) is the first sample-return mission from the lunar farside and will be launched in May of 2024. The landing area is in the south of the Apollo basin inside the South Pole Aitken basin. Statistics and analyses of impact craters in the landing area are essential to support safe landing and geologic studies. In particular, the crater size–frequency distribution information of the landing area is critical to understanding the provenance of the CE-6 lunar samples to be returned and can be used to verify and refine the lunar chronology model by combining with the radioisotope ages of the relevant samples. In this research, a digital orthophoto map (DOM) mosaic with resolution of 3 m/pixel of the CE-6 landing area was generated from the 743 Narrow Angle Camera of the Lunar Reconnaissance Orbiter Camera. Based on the DOM, craters were extracted by an automated method and checked manually. A total of 770,731 craters were extracted in the whole area of 246 km × 135 km, 511,484 craters of which were within the mare area. Systematic analyses of the crater distribution, completeness, spatial density, and depth-to-diameter ratio were conducted. Geologic model age estimation was carried out in the mare area that was divided into three geologic units according to the TiO2 abundance. The result showed that the east part of the mare had the oldest model age of μ3.27−0.045+0.036 Ga, and the middle part of the mare had the youngest model age of μ2.49−0.073+0.072 Ga. The crater catalogue and the surface model age analysis results were used to support topographic and geologic analyses of the pre-selected landing area of the CE-6 mission before the launch and will contribute to further scientific researches after the lunar samples are returned to Earth.
Geostationary Satellite-Based Overshooting Top Detections and Their Relationship to Severe Weather over Eastern China
Authors: Sun Liangxiao , Zhuge Xiaoyong , Zhu Shihua
Published: June 2024

Overshooting tops (OTs), prominent signatures within deep convective storms, are produced by intense updrafts and are closely linked to heavy rainfall, strong winds, and other severe weather conditions. Using an OT dataset derived from multiyear observations of precipitation radar on board the Global Precipitation Measurement core observatory as a reference, the performances of two commonly used OT detection algorithms are evaluated for the Himawari-8 and Fengyun-4A satellites. The results indicate that the infrared contour-based algorithm based on Himawari-8 is the most effective for objective OT detection in eastern China. It exhibits a probability of detection (POD) of 62.1% and a false-alarm ratio (FAR) of 36.6%, outperforming others by achieving a greater POD and a lower FAR. Furthermore, based on the severe weather records from surface meteorological stations and nearby OT detections, a strong relationship is revealed between GEO-detected OTs and the occurrence of short-term heavy rainfall (e.g., ≥20 mm h−1) and extreme wind speed (e.g., ≥17.2 m s−1) events. The OT matched percentages for these events are 61.8% and 54.0%, respectively. This suggests that GEO satellite-based OT data can serve as an important objective product for forecasters to increase their understanding of severe convective storms.
SLR Validation and Evaluation of BDS-3 MEO Satellite Precise Orbits
Authors: Li Ran , Wang Chen , Ma Hongyang , Zhou Yu , Tang Chengpan , Wu Ziqian , Yang Guang , Zhang Xiaolin
Published: June 2024

Starting from February 2023, the International Laser Ranging Service (ILRS) began releasing satellite laser ranging (SLR) data for all BeiDou global navigation satellite system (BDS-3) medium earth orbit (MEO) satellites. SLR data serve as the best external reference for validating satellite orbits, providing a basis for comprehensive evaluation of the BDS-3 satellite orbit. We utilized the SLR data from February to May 2023 to comprehensively evaluate the orbits of BDS-3 MEO satellites from different analysis centers (ACs). The results show that, whether during the eclipse season or the yaw maneuver season, the accuracy was not significantly decreased in the BDS-3 MEO orbit products released from the Center for Orbit Determination in Europe (CODE), Wuhan University (WHU), and the Deutsches GeoForschungsZentrum (GFZ) ACs, and the STD (Standard Deviation) of SLR residuals of those three ACs are all less than 5 cm. Among these, CODE had the smallest SLR residuals, with 9% and 12% improvement over WHU and GFZ, respectively. Moreover, the WHU precise orbits exhibit the smallest systematic biases, whether during non-eclipse seasons, eclipse seasons, or satellite yaw maneuver seasons. Additionally, we found some BDS-3 satellites (C32, C33, C34, C35, C45, and C46) exhibit orbit errors related to the Sun elongation angle, which indicates that continued effort for the refinement of the non-conservative force model further to improve the orbit accuracy of BDS-3 MEO satellites are in need.
L1RR: Model Pruning Using Dynamic and Self-Adaptive Sparsity for Remote-Sensing Target Detection to Prevent Target Feature Loss
Authors: Ran Qiong , Li Mengwei , Zhao Boya , He Zhipeng , Wu Yuanfeng
Published: June 2024

Limited resources for edge computing platforms in airborne and spaceborne imaging payloads prevent using complex image processing models. Model pruning can eliminate redundant parameters and reduce the computational load, enhancing processing efficiency on edge computing platforms. Current challenges in model pruning for remote-sensing object detection include the risk of losing target features, particularly during sparse training and pruning, and difficulties in maintaining channel correspondence for residual structures, often resulting in retaining redundant features that compromise the balance between model size and accuracy. To address these challenges, we propose the L1 reweighted regularization (L1RR) pruning method. Leveraging dynamic and self-adaptive sparse modules, we optimize L1 sparsity regularization, preserving the model’s target feature information using a feature attention loss mechanism to determine appropriate pruning ratios. Additionally, we propose a residual reconstruction procedure, which removes redundant feature channels from residual structures while maintaining the residual inference structure through output channel recombination and input channel recombination, achieving a balance between model size and accuracy. Validation on two remote-sensing datasets demonstrates significant reductions in parameters and floating point operations (FLOPs) of 77.54% and 65%, respectively, and a 48.5% increase in the inference speed on the Jetson TX2 platform. This framework optimally maintains target features and effectively distinguishes feature channel importance compared to other methods, significantly enhancing feature channel robustness for difficult targets and expanding pruning applicability to less difficult targets.
Attributing the Decline of Evapotranspiration over the Asian Monsoon Region during the Period 1950–2014 in CMIP6 Models
Authors: Zhu Xiaowei , Kong Zhiyong , Cao Jian , Gao Ruina , Gao Na
Published: June 2024

Evapotranspiration (ET) accounts for over half of the moisture source of Asian monsoon rainfall, which has been significantly altered by anthropogenic forcings. However, how individual anthropogenic forcing affects the ET over monsoonal Asia is still elusive. In this study, we found a significant decline in ET over the Asian monsoon region during the period of 1950–2014 in Coupled Model Intercomparison Project Phase 6 (CMIP6) models. The attribution analysis suggests that anthropogenic aerosol forcing is the primary cause of the weakening in ET in the historical simulation, while it is only partially compensated by the strengthening effect from GHGs, although GHGs are the dominant forcings for surface temperature increase. The physical mechanisms responsible for ET changes are different between aerosol and GHG forcings. The increase in aerosol emissions enhances the reflection and scattering of the downward solar radiation, which decreases the net surface irradiance for ET. GHGs, on the one hand, increase the moisture capability of the atmosphere and, thus, the ensuing rainfall; on the other hand, they increase the ascending motion over the Indian subcontinent, leading to an increase in rainfall. Both processes are beneficial for an ET increase. The results from this study suggest that future changes in the land–water cycle may mainly rely on the aerosol emission policy rather than the carbon reduction policy.
Evaluation of IMERG Data over Open Ocean Using Observations of Tropical Cyclones
Authors: Durden Stephen L.
Published: June 2024

The IMERG data product is an optimal combination of precipitation estimates from the Global Precipitation Mission (GPM), making use of a variety of data types, primarily data from various spaceborne passive instruments. Previous versions of the IMERG product have been extensively validated by comparisons with gauge data and ground-based radars over land. However, IMERG rain rates, especially sub-daily, over open ocean are less validated due to the scarcity of comparison data, particularly with the relatively new Version 07. To address this issue, we consider IMERG V07 30-min data acquired in tropical cyclones over open ocean. We perform two tasks. The first is a straightforward comparison between IMERG precipitation rates and those retrieved from the GPM Dual-frequency Precipitation Radar (DPR). From this, we find that IMERG and DPR are close at low rain rates, while, at high rain rates, IMERG tends to be lower than DPR. The second task is the assessment of IMERG’s ability to represent or detect structures commonly seen in tropical cyclones, including the annular structure and concentric eyewalls. For this, we operate on IMERG data with many machine learning algorithms and are able to achieve a 96% classification accuracy, indicating that IMERG does indeed contain TC structural information.
Evaluation of Two Satellite Surface Solar Radiation Products in the Urban Region in Beijing, China
Authors: Xu Lin , Mao Yuna
Published: June 2024

Surface solar radiation, as a primary energy source, plays a pivotal role in governing land–atmosphere interactions, thereby influencing radiative, hydrological, and land surface dynamics. Ground-based instrumentation and satellite-based observations represent two fundamental methodologies for acquiring solar radiation information. While ground-based measurements are often limited in availability, high-temporal- and spatial-resolution, gridded satellite-retrieved solar radiation products have been extensively utilized in solar radiation-related studies, despite their inherent uncertainties in accuracy. In this study, we conducted an evaluation of the accuracy of two high-resolution satellite products, namely Himawari-8 (H8) and Moderate Resolution Imaging Spectroradiometer (MODIS), utilizing data from a newly established solar radiation observation system at the Beijing Normal University (BNU) station in Beijing since 2017. The newly acquired measurements facilitated the generation of a firsthand solar radiation dataset comprising three components: Global Horizontal Irradiance (GHI), Direct Normal Irradiance (DNI), and Diffuse Horizontal Irradiance (DHI). Rigorous quality control procedures were applied to the raw minute-level observation data, including tests for missing data, the determination of possible physical limits, the identification of solar tracker malfunctions, and comparison tests (GHI should be equivalent to the sum of DHI and the vertical component of the DNI). Subsequently, accurate minute-level solar radiation observations were obtained spanning from 1 January 2020 to 22 March 2022. The evaluation of H8 and MODIS satellite products against ground-based GHI observations revealed strong correlations with R-squared (R2) values of 0.89 and 0.81, respectively. However, both satellite products exhibited a tendency to overestimate solar radiation, with H8 overestimating by approximately 21.05% and MODIS products by 7.11%. Additionally, solar zenith angles emerged as a factor influencing the accuracy of satellite products. This dataset serves as crucial support for investigations of surface solar radiation variation mechanisms, future energy utilization prospects, environmental conservation efforts, and related studies in urban areas such as Beijing.
Improvement of High-Resolution Daytime Fog Detection Algorithm Using GEO-KOMPSAT-2A/Advanced Meteorological Imager Data with Optimization of Background Field and Threshold Values
Authors: Han Ji-Hye , Suh Myoung-Seok , Yu Ha-Yeong , Kim So-Hyeong
Published: June 2024

This study aimed to improve the daytime fog detection algorithm GK2A_HR_FDA using the GEO-KOMPSAT-2A (GK2A) satellite by increasing the resolution (2 km to 500 m), improving predicted surface temperature by the numerical model, and optimizing some threshold values. GK2A_HR_FDA uses numerical model prediction temperature to distinguish between fog and low clouds and evaluates the fog detection level using ground observation visibility data. To correct the errors of the numerical model prediction temperature, a dynamic bias correction (DBC) technique was developed that reflects the geographic location, time, and altitude in real time. As the numerical model prediction temperature was significantly improved after DBC application, the fog detection level improved (FAR: −0.02–−0.06; bias: −0.07–−0.23) regardless of the training and validation cases and validation method. In most cases, the fog detection level was improved due to DBC and threshold adjustment. Still, the detection level was abnormally low in some cases due to background reflectance problems caused by cloud shadow effects and navigation errors. As a result of removing navigation errors and cloud shadow effects, the fog detection level was greatly improved. Therefore, it is necessary to improve navigation accuracy and develop removal techniques for cloud shadows to improve fog detection levels.
Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors
Authors: Nalakurthi Naga Venkata Sudha Rani , Abimbola Ismaila , Ahmed Tasneem , Anton Iulia , Riaz Khurram , Ibrahim Qusai , Banerjee Arghadyuti , Tiwari Ananya , Gharbia Salem
Published: June 2024

The use of low-cost environmental sensors has gained significant attention due to their affordability and potential to intensify environmental monitoring networks. These sensors enable real-time monitoring of various environmental parameters, which can help identify pollution hotspots and inform targeted mitigation strategies. Low-cost sensors also facilitate citizen science projects, providing more localized and granular data, and making environmental monitoring more accessible to communities. However, the accuracy and reliability of data generated by these sensors can be a concern, particularly without proper calibration. Calibration is challenging for low-cost sensors due to the variability in sensing materials, transducer designs, and environmental conditions. Therefore, standardized calibration protocols are necessary to ensure the accuracy and reliability of low-cost sensor data. This review article addresses four critical questions related to the calibration and accuracy of low-cost sensors. Firstly, it discusses why low-cost sensors are increasingly being used as an alternative to high-cost sensors. In addition, it discusses self-calibration techniques and how they outperform traditional techniques. Secondly, the review highlights the importance of selectivity and sensitivity of low-cost sensors in generating accurate data. Thirdly, it examines the impact of calibration functions on improved accuracies. Lastly, the review discusses various approaches that can be adopted to improve the accuracy of low-cost sensors, such as incorporating advanced data analysis techniques and enhancing the sensing material and transducer design. The use of reference-grade sensors for calibration and validation can also help improve the accuracy and reliability of low-cost sensor data. In conclusion, low-cost environmental sensors have the potential to revolutionize environmental monitoring, particularly in areas where traditional monitoring methods are not feasible. However, the accuracy and reliability of data generated by these sensors are critical for their successful implementation. Therefore, standardized calibration protocols and innovative approaches to enhance the sensing material and transducer design are necessary to ensure the accuracy and reliability of low-cost sensor data.
Optical Sensing of Tissue Freezing Depth by Sapphire Cryo-Applicator and Steady-State Diffuse Reflectance Analysis
Authors: Zotov Arsen K. , Pushkarev Aleksandr V. , Alekseeva Anna I. , Zaytsev Kirill I. , Ryabikin Sergey S. , Tsiganov Dmitry I. , Zhidkov Dmitriy A. , Burkov Ivan A. , Kurlov Vladimir N. , Dolganova Irina N.
Published: June 2024

This work describes a sapphire cryo-applicator with the ability to sense tissue freezing depth during cryosurgery by illumination of tissue and analyzing diffuse optical signals in a steady-state regime. The applicator was manufactured by the crystal growth technique and has several spatially resolved internal channels for accommodating optical fibers. The method of reconstructing freezing depth proposed in this work requires one illumination and two detection channels. The analysis of the detected intensities yields the estimation of the time evolution of the effective attenuation coefficient, which is compared with the theoretically calculated values obtained for a number of combinations of tissue parameters. The experimental test of the proposed applicator and approach for freezing depth reconstruction was performed using gelatin-based tissue phantom and rat liver tissue in vivo. It revealed the ability to estimate depth up to 8 mm. The in vivo study confirmed the feasibility of the applicator to sense the freezing depth of living tissues despite the possible diversity of their optical parameters. The results justify the potential of the described design of a sapphire instrument for cryosurgery.
Advanced Millimeter-Wave Radar System for Real-Time Multiple-Human Tracking and Fall Detection
Authors: Shen Zichao , Nunez-Yanez Jose , Dahnoun Naim
Published: June 2024

This study explored an indoor system for tracking multiple humans and detecting falls, employing three Millimeter-Wave radars from Texas Instruments. Compared to wearables and camera methods, Millimeter-Wave radar is not plagued by mobility inconveniences, lighting conditions, or privacy issues. We conducted an initial evaluation of radar characteristics, covering aspects such as interference between radars and coverage area. Then, we established a real-time framework to integrate signals received from these radars, allowing us to track the position and body status of human targets non-intrusively. Additionally, we introduced innovative strategies, including dynamic Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering based on signal SNR levels, a probability matrix for enhanced target tracking, target status prediction for fall detection, and a feedback loop for noise reduction. We conducted an extensive evaluation using over 300 min of data, which equated to approximately 360,000 frames. Our prototype system exhibited a remarkable performance, achieving a precision of 98.9% for tracking a single target and 96.5% and 94.0% for tracking two and three targets in human-tracking scenarios, respectively. Moreover, in the field of human fall detection, the system demonstrates a high accuracy rate of 96.3%, underscoring its effectiveness in distinguishing falls from other statuses.
Sexual Compulsivity and Gender Stereotypes in Men Who Have Sex with Men: A Cross-Sectional Study in Spain
Authors: Ibáñez-Tomás Eduardo , Gasch-Gallén Ángel
Published: June 2024

Men who have sex with men are at increased risk of acquiring sexually transmitted infections. Although behavioral and contextual interventions have improved, infections are still spreading. A new focus is needed regarding the influence of sexual compulsivity and gender self-identification. The objective was to explore the relationship between SC and gender stereotype self-identification in MSM in Spain. A cross-sectional study based on an anonymous online survey of a sample of 881 MSM in Spain was performed. A validated Sexual Compulsivity Scale was applied as well as the Bem Sex Role Inventory to identify gender stereotype self-identification. A total of 87.5% of participants identified as gay, while 106 (12%) were sexually compulsive. The Bem Sex Role Inventory showed excellent reliability (0.92 Cronbach’s alpha). Gender stereotype classification showed the undifferentiated category as predominant (n = 325; 36.9%). The androgynous category had higher scores on the Sexual Compulsivity Scale, while the feminine category had lower scores (p < 0.007). Those identifying as androgynous scored higher overall on the Sexual Compulsivity Scale (15; p < 0.001; [12–20]) and subscales (“Interference of sexual behavior” (5; p < 0.001; [4–7]) and “Failure to control sexual impulses” (9; p = 0.014; [7–12])). Education level, cohabitation, sexual role, and unprotected sexual practices are related to sexual compulsivity according to different gender stereotypes. Sexual compulsivity is related to gender stereotype self-identification in men who have sex with men. Specific sociodemographic, behavior, and sexual profiles exist for those at greater risk of sexually transmitted infection dissemination. The undifferentiated category is at greater risk of engaging in unprotected practices. New avenues of prevention that include these findings could shift heteronormative standards to better understand current trends in the sexual health of men who have sex with men.
Quality and Readability of Google Search Information on HoLEP for Benign Prostate Hyperplasia
Authors: Ho Yam Ting , Saad Jeremy , Ayeni Femi E. , Ranasinghe Sachinka , Arianayagam Mohan , Canagasingham Bertram , Goolam Ahmed , Jeffery Nicola , Khadra Mohamed , Ko Raymond , Mehan Nicholas , Varol Celi , Kam Jonathan , Thangasamy Isaac A.
Published: June 2024

Objective: To assess the quality and readability of online information on holmium laser enucleation of the prostate in managing benign prostate hyperplasia using the most-used search engine worldwide, Google. Methods: Google search terms “Holmium laser surgery” and “enlarged prostate” were used to generate 150 search results. Two independent authors (i) excluded any paywall, scientific literature, or advertisement and (ii) conducted an independent assessment on information quality, which was based on DISCERN, QUEST, and JAMA criteria, and readability, which was based on the FKG, GFI, SMOG, and FRE scores on qualified webpages. A third author was involved if there were any discrepancies between the assessments. Results: 107 qualified webpages were included in the data analysis. The median DISCERN score was 42 out of 80 (IQR 35–49). The median JAMA score was 0 out of 4 (IQR 0–1). The median QUEST score was 9 out of 28 (IQR 9–12). Using the non-parametric ANOVA and post hoc Games–Howell test, significant differences were identified between rankings of webpages. Sponsorship had no influence on the quality of webpages. The overall readability level required a minimum reading level of grade 11. Linear regression analysis showed that a higher ranked webpage is a positive predictor for all three quality assessment tools. Conclusions: The overall quality of online information on HoLEP is poor. We identify that the top-ranked google searches have a higher DISCERN score and are a positive predictor for DISCERN/QUEST/JAMA. Quality online information can benefit patients but should be used in conjunction with professional medical consultation.
Analysis of the Location Factors Affecting the Price of Tourist Houses: The Role of Accessibility to Public Transport Stations in Madrid
Authors: Valenzuela Patricia , Ortuño Armando , Flor María , Guirao Begoña
Published: June 2024

The location of tourist properties is a fundamental aspect in the determination of price, but in cities with dense and efficient public transport systems, the location being in the periphery can offer alternative advantages to central locations (such as better accessibility by private vehicles). This study analyses how the price of tourist housing is influenced by the characteristics of the accommodation itself and its location, using a hedonic pricing regression model estimated by ordinary least squares (OLS) in two periods of time: the high season (October 2022) and the low season (February 2023). The obtained results suggest that the characteristics of the properties, the local environment and the elements in the area influence the price of tourist accommodation. Similarly, the proximity to public transport stations and stops has a relevant influence on the choice of tourist properties. This latter factor is highly important for designing public policies that favour a denser public transport network in peripheral areas of the city. This would increase the number of tourist properties in these areas further away from the centre and, therefore, the number of reservations. In turn, the income of these more vulnerable areas would improve together with the social cohesion of the municipality.
The Impact of Urban Migration on the Mental Well-Being of Young Women: Analyzing the Roles of Neighborhood Safety and Subjective Socioeconomic Status in Shaping Resilience against Life Stressors
Authors: Gao Yang , Fu Lisha , Shen Yang
Published: June 2024

This study evaluates the impact of urban migration on the mental health of young women, focusing specifically on how objective life stressors, perceived neighborhood safety, and subjective socioeconomic status influence depression. Depression is the main outcome measure in this research, serving as a critical indicator of mental health in the context of urban migration. Utilizing a stratified cluster sampling approach, we collect data from 2138 young female migrants in Bao’an District, Shenzhen, employing the Life Stress Scale, Patient Health Questionnaire-9 items, Perceived Neighborhood Safety Scale, and Subjective Social Economic Status Scale to assess the corresponding constructs. Our findings highlight that life stressors directly contribute to increased depression levels among young female migrants, with perceived neighborhood safety significantly mediating this relationship. Furthermore, subjective socioeconomic status moderates the impact of life stressors on perceived neighborhood safety, underlining the intricate dynamics between objective life stressors and the social-environmental context in shaping mental health outcomes. This research underscores the importance of creating supportive and inclusive social environments to mitigate the adverse psychological effects of life stressors on young female migrants, thereby contributing to discussions on sustainability and social welfare.
From Bin to Binder: Unleashing Waste Butter’s Potential as a Pioneering Bio-Modifier for Sustainable Asphalt Engineering
Authors: Nciri Nader , Kim Namho
Published: June 2024

Exploring the interface of environmental sustainability and civil infrastructure development, this study introduces waste butter (WB), a byproduct of animal fat processing, as a novel bio-modifier in asphalt production. This approach not only recycles animal waste but also charts a course for sustainable infrastructural development, contributing to a reduced environmental impact and promoting circular economy practices. The experiments incorporated varying WB concentrations (e.g., 3%, 6%, and 9% by weight of binder) into standard AP-5 asphalt, employing advanced analytical tools for comprehensive characterization. These included thin-layer chromatography–flame ionization detection (TLC-FID), Fourier-transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), thermogravimetric analysis (TGA), and Differential Scanning Calorimetry (DSC). The critical properties of the asphalt blends, such as penetration, softening point, viscosity, ductility, rutting factor (Dynamic Shear Rheometer), and thermal susceptibility (Penetration Index, Penetration–Viscosity Number), were assessed. FT-IR analysis indicated negligible chemical alteration with WB addition, suggesting predominantly physical interactions. TLC-FID showed a decrease in aromatic and asphaltene components but an increase in resin content, highlighting the influence of WB’s fatty acids on the asphalt’s chemical balance. The colloidal instability index (IC) confirmed enhanced stability due to WB’s high resin concentration. Meanwhile, SEM analysis revealed microstructural improvements with WB, enhancing binder compatibility. TGA demonstrated that even a minimal 3 wt. % WB addition significantly improved thermal stability, while the DSC results pointed to improved low-temperature performance, reducing brittleness in cold conditions. Rheologically, WB incorporation resulted in increased penetration and ductility, balanced by decreased viscosity and softening point, thereby demonstrating its multi-faceted utility. Thermal susceptibility tests emphasized WB’s effectiveness in cold environments, with further evaluation needed at higher temperatures. The DSR findings necessitate careful WB calibration to meet Superpave rutting standards. In conclusion, this research positions waste butter as a superior, environmentally aligned bio-additive for asphalt blends, contributing significantly to eco-friendly civil engineering practices by repurposing animal-derived waste.
Assessment of the Effect of Meteorological Conditions on the Concentration of Suspended PM2.5 Particulate Matter in Central Europe
Authors: Ziernicka-Wojtaszek Agnieszka , Zuśka Zbigniew , Kopcińska Joanna
Published: June 2024

The purpose of this study was to use principal component analysis to determine the effect of meteorological elements on the concentration of PM2.5 particulate matter in Krakow, the capital of the Lesser Poland Voivodeship in southern Poland. Daily values for selected meteorological elements measured in spring, summer, autumn, and winter over a 10-year period, obtained from the Institute of Meteorology and Water Management—National Research Institute, were adopted as variables explaining PM2.5 concentrations. Data on particulate air pollution were obtained from the air monitoring station in Krakow. In spring, autumn, and winter, the first factor significantly influencing the PM2.5 concentration was the maximum, minimum, and average temperature. In summer, the average and maximum temperatures were significant. The second factor in spring was precipitation and wind speed, and the third was relative humidity. In summer, the second factor was atmospheric pressure, and the third was relative humidity. The second factor in autumn was atmospheric pressure and precipitation, and the third was relative humidity. In winter, the second factor was wind speed, and the third was precipitation and relative humidity. Throughout the study, the annual mean PM2.5 concentrations exceeded acceptable and target levels defined by the Regulation of the Minister of the Environment, and even further exceeded the level recommended by the WHO.
Life Cycle Assessment of an Innovative Combined Treatment and Constructed Wetland Technology for the Treatment of Hexachlorocyclohexane-Contaminated Drainage Water in Hajek in the Czech Republic
Authors: Bałazińska Maria , Bardos Paul , Gzyl Grzegorz , Antos Vojtech , Skalny Anna , Lederer Tomas
Published: June 2024

The paper presents the results of an LCA analysis of the “Wetland+®” technology compared to conventional wastewater treatment technology. Wastewater contaminated with pesticide production residues from lindane was treated. The analysis is based on data from a full-scale Wetland+® installation located in Hajek, the Czech Republic. Conventional wastewater treatment technology was selected as a comparator. For the comparative system, data for the LCA came from design calculations assuming the location of such a system in the same place and function as the Wetland+® technology implemented. The LCA analysis was carried out using system boundaries covering the stages of construction and operation of the systems. The results indicate that with the Wetland+® technology, a system’s overall environment burdens are >11 times less than that of conventional wastewater treatment technology.
Estimation of Potential Nitrous Oxide Emissions from Landfills in the United States: 2010–2020
Authors: Na Youngrin , Byun Kyuhyun
Published: June 2024

Nitrous oxide (N2O), a major greenhouse gas, has the potential to be emitted from waste landfills. Previous studies have demonstrated the propensity of landfilling facilities to emit significant quantities of N2O, a fact underscored by the IPCC Guidelines, which emphasize the importance of researching this phenomenon. However, due to the absence of established international guidelines for quantifying N2O emissions from landfills, many countries, including the United States, have excluded N2O from greenhouse gas inventories. Therefore, this study aims to estimate N2O emissions from landfills in the United States, a country with a significant landfill waste volume. In this study, N2O emissions from U.S. landfills over an 11-year period (2010–2020) are estimated by using the emission estimation formula provided in CDM AM0083 and emission factors from the 2006 IPCC Guidelines. Additionally, emissions were calculated spatially for each state and individual landfill facility. As a result, the impact of integrating N2O emissions from landfills into the national greenhouse gas inventory was assessed. The average annual landfill N2O emission in the United States over the 11-year period was estimated to be 3,214,693 ton-CO2-equivalent/year, with an overall decreasing trend. In 2020, Indiana, Michigan, and Oregon exhibited high landfill N2O emissions per capita, while the Virgin Islands, Connecticut, and Massachusetts demonstrated lower emissions. When incorporated into the U.S. greenhouse gas inventory, landfill N2O emissions represent 10.41% of the total sector N2O emissions. Although N2O emissions are declining alongside reduced waste landfilling in the United States, the quantity remains significant and should be factored into greenhouse gas inventory calculations and emission scenarios for the next CMIP6. Further research investigating N2O emission coefficients across different regions and waste types is necessary. Ultimately, this study aims to support the United Nations (UN)’s Sustainable Development Goals (SDGs), particularly SDG 11 (Sustainable Cities and Communities), 12 (Responsible Consumption and Production), and 13 (Climate Action), by enhancing the tools for accurate greenhouse gas inventory and promoting sustainable waste management.
Evaluation of Groundwater Resources in the Qeft Area of Egypt: A Geophysical and Geochemical Perspective
Authors: Basheer Alhussein Adham , Selim Elsayed I. , Ahmed Alaa , Kotb Adel
Published: June 2024

This study focuses on the critical issue of access to clean water in water-stressed regions like the Middle East and North Africa (MENA). To address the challenges of water stress, the study proposes an integrated approach involving geographical, statistical, and geophysical analysis. The objectives are to assess the distribution of pollutants such as heavy metals, salts, and water turbidity near industrial facilities; identify their sources and pathways; evaluate water quality and its impact on human health; and improve environmental classification using geophysical and geochemical methods. The study area, located southeast of Qena city, is characterized by an arid climate with minimal rainfall and is primarily covered by Upper Cretaceous and Lower Eocene rocks. The third layer in the study area is considered a shallow aquifer of Quaternary alluvial deposits; it deepens from 20 m to 93 m, displaying resistivity from 18 Ω∙m to 120 Ω∙m, with thickness increasing downstream to approximately 90 m. Understanding groundwater flow from northeast to southeast is crucial for understanding pollutant distribution in the region. The research reveals variations in groundwater quality, including high total dissolved solids (TDS) ranging from 240 to 531 mg/L and electrical conductivity (EC) values ranging from 376–802 μS/cm, as well as the presence of heavy metals. Some water samples exceeded the recommended limits for certain parameters set by the World Health Organization (WHO). Spatial distribution analysis showed higher mineralization toward the northeast of the study area. Overall, the integrated approach proposed in this study can contribute to effective water-management strategies to ensure sustainable water resources and protect public health in water-stressed regions like Egypt.
The Integration of Renewable Energy into a Fossil Fuel Power Generation System in Oil-Producing Countries: A Case Study of an Integrated Solar Combined Cycle at the Sarir Power Plant
Authors: Akroot Abdulrazzak , Almaktar Mohamed , Alasali Feras
Published: June 2024

Libya is facing a serious challenge in its sustainable development because of its complete dependence on traditional fuels in meeting its growing energy demand. On the other hand, more intensive energy utilization accommodating multiple energy resources, including renewables, has gained considerable attention. This article is motivated by the obvious need for research on this topic due to the shortage of applications concerning the prospects of the hybridization of energy systems for electric power generation in Libya. The 283 MW single-cycle gas turbine operating at the Sarir power plant located in the Libyan desert is considered a case study for a proposed Integrated Solar Combined Cycle (ISCC) system. By utilizing the common infrastructure of a gas-fired power plant and concentrating solar power (CSP) technology, a triple hybrid system is modeled using the EES programming tool. The triple hybrid system consists of (i) a closed Brayton cycle (BC), (ii) a Rankine cycle (RC), which uses heat derived from a parabolic collector field in addition to the waste heat of the BC, and (iii) an organic Rankine cycle (ORC), which is involved in recovering waste heat from the RC. A thermodynamic analysis of the developed triple combined power plant shows that the global power output ranges between 416 MW (in December) and a maximum of 452.9 MW, which was obtained in July. The highest overall system efficiency of 44.3% was achieved in December at a pressure ratio of 12 and 20% of steam fraction in the RC. The monthly capital investment cost for the ISCC facility varies between 52.59 USD/MWh and 58.19 USD/MWh. From an environmental perspective, the ISCC facility can achieve a carbon footprint of up to 319 kg/MWh on a monthly basis compared to 589 kg/MWh for the base BC plant, which represents a reduction of up to 46%. This study could stimulate decision makers to adopt ISCC power plants in Libya and in other developing oil-producing countries.
Assessing the Link between Wildfires, Vulnerability, and Climate Change: Insights from the Regions of Greece
Authors: Xepapadeas Petros , Douvis Kostas , Kapsomenakis Ioannis , Xepapadeas Anastasios , Zerefos Christos
Published: June 2024

Forests provide a wide range of ecosystem services which are important for achieving sustainable development. Anthropogenic climate change has led to the increased frequency and severity of forest fires, which imply losses of valuable ecosystem services. This paper provides a methodological framework based on Multiple Criteria Decision Aid methods for determining relative regional vulnerabilities associated with forest fires. Different notions of ex-post vulnerability are defined based on the forest area burned and the frequency of forest fires, and their relation to the regions’ area and certain socioeconomic characteristics. The climatic drivers of forest fire occurrence are explored by linking forest fires with summer and spring temperatures and precipitation, using econometric count data analysis. The methodology is applied to Greece and its administrative regions for the period 2000–2022. Ex-post vulnerability of regions to forest fires based on physical and socioeconomic characteristics is calculated, and expected changes in the frequency of fires of specific size classes conditional on the evolution of mean seasonal regional temperature and precipitation according to IPCC scenarios are predicted. Relative vulnerability estimates and the impact of specific climatic drivers on forest fires will be useful in designing policies for preserving forests as natural capital and promoting sustainability.