bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Silver Nanoparticles/Titanium Dioxide in Poly(acrylic acid-co-acrylamide)-Modified, Deproteinized, Natural Rubber Composites on Dye Removal
Authors: Inphonlek Supharat , Ruksakulpiwat Chaiwat , Ruksakulpiwat Yupaporn
Published: December 2023

This work aims to enhance the dye-removal performance of prepared poly(acrylic acid-co-acrylamide)-modified, deproteinized, natural rubber ((PAA-co-PAM)-DPNR) through incorporation with silver nanoparticles/titanium dioxide. The (PAA-co-PAM)-DPNR was prepared by emulsion-graft copolymerization with a grafting efficiency of 10.20 ± 2.33 to 54.26 ± 1.55%. The composites based on (PAA-co-PAM)-DPNR comprising silver nanoparticles and titanium dioxide ((PAA-co-PAM)-DPNR/Ag-TiO2) were then prepared by latex compounding using the fixed concentration of AgNO3 (0.5 phr) and varying concentrations of TiO2 at 1.0, 2.5, and 5.0 phr. The formation of silver nanoparticles was obtained by heat and applied pressure. The composites had a porous morphology as they allowed water to diffuse in their structure, allowing the high specific area to interact with dye molecules. The incorporation of silver nanoparticles/titanium dioxide improved the compressive modulus from 1.015 ± 0.062 to 2.283 ± 0.043 KPa. The (PAA-co-PAM)-DPNR/Ag-TiO2 composite with 5.0 phr of TiO2 had a maximum adsorption capacity of 206.42 mg/g, which increased by 2.02-fold compared to (PAA-co-PAM)-DPNR. The behavior of dye removal was assessed with the pseudo-second-order kinetic model and Langmuir isotherm adsorption model. These composites can maintain their removal efficiency above 90% for up to five cycles. Thus, these composites could have the potential for dye-removal applications.
Rapid Evaporation of a Metal Electrode for a High-Efficiency Perovskite Solar Cell
Authors: Wu Runsheng , Sun Shigen , Liu Dongyang , Lai Junjie , Yu Yingjie , Hu Shijie , Liu Jun , Li Shuigen , Li Yunming , Li Ling , Jiang Minhua , Liu Chengyu , Deng Jun , Wang Chunhua
Published: December 2023

Organic-inorganic hybrid perovskite solar cells (PSCs) have attracted considerable attention due to the excellent optoelectronic properties of perovskite materials. The energy consumption and high cost issues of metal electrode evaporation should be addressed before large-scale manufacturing and application. We developed an effective metal electrode evaporation procedure for the fabrication of high-efficiency planar heterojunction (PHJ) PSCs, with an inverted device structure of glass/indium tin oxide (ITO)/poly[bis(4-phenyl)(2,4,6-trimethylphenyl)amine] (PTAA)/perovskite/[6,6]-phenyl-C61-butyric acid methyl ester (PCBM)/(E)-β-caryophyllene (BCP)/Ag. The effect of the evaporation rate for an evaporator with a small-volume metal cavity on the performance of PHJ-PSC devices was investigated systematically. Through controlling the processes of Ag electrode evaporation, the charge dynamics of the devices were studied by analyzing their charge recombination resistance and lifetime, as well as their defect state density. Our findings reveal that the evaporation rate of an evaporator with a small cavity is favorable for the performance of PHJ-PSCs. As a result, PHJ-PSCs fabricated using a very thin, non-doped PTAA film exhibit photoelectric conversion efficiency (PCE) of 19.21%, with an open-circuit voltage (Voc) of 1.132 V. This work showcases the great potential of rapidly evaporating metal electrodes to reduce fabrication costs, which can help to improve the competitiveness in the process of industrialization.
Optical Limiting Properties of DNA Biopolymer Doped with Natural Dyes
Authors: Gheorghe Petronela , Petris Adrian , Anton Adina Mirela
Published: December 2023

The high-power lasers have important implications for present and future light-based technologies; therefore, the protection measures against their high-intensity radiation are extremely important. Currently, a great deal of interest is directed towards the development of new nonlinear optical materials for passive optical limiters, which are used to protect the human eye and sensitive optical and optoelectronic devices from laser-induced damage. Biopolymers doped with natural dyes are emerging as a new class of optical materials with interesting photosensitive properties. In this paper, the optical limiting capability of deoxyribonucleic acid bio-polymer functionalized with Turmeric natural dye has been demonstrated for the first time, to the best of our knowledge. The experimental investigation of the optical limit has been done by the Intensity-scan method in the NIR spectral domain at the important telecommunication wavelength of 1550 nm, using ultrashort laser pulses (~120 fs). Several optical properties of this natural dye are presented and discussed. The values of the optical transmittance in the linear regime, the saturation intensity of the nonlinear transmittance curves, and the coefficient of the nonlinear absorption have been determined. The influence of the DNA biopolymer and natural dye concentration on the optical limiting properties of the investigated biomaterials is reported and discussed. The photostability and thermal stability of the investigated solutions have also been evaluated by monitoring the temporal decay of the normalized absorption spectra under illumination with UVA light and heating, respectively. Our results evidence the positive influence of the DNA, which embeds Turmeric natural dye, on the optical limiting functionality itself and on the photostability and thermal stability of this novel material. The performed study reveals the potential of the investigated novel biomaterial for applications in nonlinear photonics, in particular in optical limiting.
Analysis of Paint Properties According to Expandable Graphite and Fire Simulation Research on Firewall Penetration Part
Authors: Yu Seonghun , Lee Jonghyuk , Yeo Donghyun , Lee Junhee , Bae Jinseok , Sim Jeehyun
Published: December 2023

In this research, we attempted to develop paints that can be applied to various fields such as high-rise building structures and electric vehicle batteries. To minimize damage to life and property in the event of a fire, we attempted to manufacture a highly elastic paint material that can block flames and control smoke spread, and that has additional sound insulation and waterproofing functions. A high-elasticity paint was manufactured by mixing a flame-retardant polyurethane dispersion (PUD) with an acrylic emulsion binder and adding different mass fractions of expandable graphite (EG). The thermal, physical, and morphological properties of the prepared mixed paint were analyzed. The thermal properties of the mixed paint were analyzed and intended to be used as input data (heat transfer coefficient, specific heat capacity) for fire simulation. Output data were used to predict how much the temperature would change depending on the time of fire occurrence. The reason for conducting simulations on the fire stability of paint materials is that the fire stability of paints can be predicted without conducting fire tests. Two hours after the fire broke out, the thermal temperature distribution was analyzed. The temperature distribution was compared with and without mixed paint. Two hours after a fire broke out in a virtual space, it was found that when the mixed paint was applied, the surrounding temperature of the penetration area was lower than when the mixed paint was not applied. Development costs for developing excellent paints can be reduced. Since fire safety can be predicted without actually conducting tests, the time required for product development can be reduced. We are confident that this is a very groundbreaking technology because it allows fire safety simulations for developed products to be conducted in a virtual space by creating an environment similar to actual fire test standards.
Sea Surface pCO2 Response to Typhoon “Wind Pump” and Kuroshio Intrusion in the Northeastern South China Sea
Authors: Lin Jingrou , Sun Qingyang , Liu Yupeng , Ye Haijun , Tang Danling , Zhang Xiaohao , Gao Yang
Published: December 2023

The Luzon Strait (LS) is a key region for estimating carbon sources and sinks in the South China Sea (SCS) and is highly influenced by the Kuroshio Current (KC) and typhoons. Understanding the variations in the sea surface partial pressure of carbon dioxide (pCO2-sw) under the combined effects of typhoons and KC in this region is crucial for estimating local and regional changes in ocean carbon flux. Based on valuable in situ pCO2-sw and remote sensing data, this study aimed to reveal the temporal variations and the physical mechanisms of pCO2-sw variations under the comprehensive effects of both typhoons and Kuroshio Intrusion (KI) in the LS. One week after the passage of the tropical cyclone (TC) Nanmadol, the concentration in the pCO2-sw and the influencing mechanisms varied in three different regions (W1–W3) on Transect A (120°E). In the region dominated by SCS waters (W1), the average pCO2-sw increased by 5.1 μatm after TC, which was mainly due to the TC “Wind Pump” inducing strong vertical mixing, which brought dissolved inorganic carbon (DIC)-rich deeper water up to the surface. In the region affected by KC (W2 and W3), pCO2-sw decreased after the TC (−8.2 μatm and −1.8 μatm, respectively) with TC-enhanced KI because the invasion of lower pCO2-sw of Kuroshio waters inhibited the TC-induced upwelling. More significant TC-induced upwelling (W3) would alleviate the decrease in pCO2-sw caused by the TC-enhanced KI. This study is a rare case providing a better understanding of the variations in pCO2-sw under TC-enhanced KI, which provides support for regional climate change prediction and carbon flux estimation in the western boundary current regions.
Changes in Qinghai Lake Area and Their Interactions with Climatic Factors
Authors: Ling Xiaolu , Tang Zeyu , Gao Jian , Li Chenggang , Liu Wenhao
Published: December 2023

Lakes play a crucial role in the global water cycle and significantly contribute to enhancing regional ecological environments and simulating economic growth. In this study, based on the data from the Landsat TM 4-5, Landsat 7 ETM SLC-off, and Landsat 8-9 OLI/TIRS C2 L2 satellites, the surface area of Qinghai Lake is obtained by using the Normalized Difference Water Index (NDWI) method. Additionally, leveraging the European Centre for Medium-Range Weather Forecasts (ECMWF) fifth-generation land surface reanalysis dataset (ERA5-Land), we analyzed the interplay between lake area and related climate factors by using the Noise Assisted–Multivariate Empirical Mode Decomposition (NA-MEMD) and wavelet coherence analysis method. The surface area of Qinghai Lake showed an overall expansion trend from 1986 to 2022, with an expansion rate of 2.89 km2/a. Precipitation, temperature, and evapotranspiration (ET) also showed an increasing trend, with the largest increasing trend in autumn, summer, and summer, respectively. The area of Qinghai Lake did not demonstrate distinct periodic patterns from 1986 to 2022, in contrast to the marked 8–16 month oscillations observed in precipitation, temperature, and ET. In the phase of lake area expansion between 2008 and 2016, changes in the lake’s surface area were observed to trail behind variations in precipitation and temperature by approximately three months. Furthermore, the shift in ET was found to lag behind alterations in the lake area, displaying a delay of 3–6 months.
Automated Surface Runoff Estimation with the Spectral Unmixing of Remotely Sensed Multispectral Imagery
Authors: Campo Chloe , Tamagnone Paolo , Schumann Guy
Published: December 2023

This work presents a methodology for the hydrological characterization of natural and urban landscapes, focusing on accurate estimations of infiltration capacity and runoff characteristics. By combining existing methods from the literature, we created a systemic process that integrates satellite-based vegetation maps, topography, and soil permeability data. This process generates a detailed vegetation classification and slope-corrected composite curve number (CNcα) map using information at the subpixel level, which is crucial for estimating excess runoff during intense precipitation events. The algorithm designed with this methodology is automated and utilizes freely accessible multispectral imagery. Leveraging the vegetation–impervious–soil (V-I-S) model, it is assumed that land cover comprises V-I-S components at each pixel. Automated Music and spectral Separability-based Endmember Selection is employed on a generic spectral library to obtain the most relevant V-I-S endmember spectra for a particular image, which is then employed in multiple endmember spectral mixture analysis to obtain V-I-S fraction maps. The derived fractions are utilized in combination with the Normalized Difference Vegetation Index and the Modified Normalized Difference Water Index to adapt the CNcα map to different seasons and climatic conditions. The methodology was applied to Esch-sur-Alzette, Luxembourg, over a four-year period to validate the methodology and quantify the increase in the impervious surface area in the commune and the relationship with the runoff dynamics. This approach provides valuable insights into infiltration and runoff dynamics across diverse temporal and geographic ranges.
3D Landslide Monitoring in High Spatial Resolution by Feature Tracking and Histogram Analyses Using Laser Scanners
Authors: Hosseini Kourosh , Reindl Leonhard , Raffl Lukas , Wiedemann Wolfgang , Holst Christoph
Published: December 2023

Landslides represent a significant natural hazard with wide-reaching impacts. Addressing the challenge of accurately detecting and monitoring landslides, this research introduces a novel approach that combines feature tracking with histogram analysis for efficient outlier removal. Distinct from existing methods, our approach leverages advanced histogram techniques to significantly enhance the accuracy of landslide detection, setting a new standard in the field. Furthermore, when tested on three different data sets, this method demonstrated a notable reduction in outliers by approximately 15 to 25 percent of all displacement vectors, exemplifying its effectiveness. Key to our methodology is a refined feature tracking process utilizing terrestrial laser scanners, renowned for their precision and detail in capturing surface information. This enhanced feature tracking method allows for more accurate and reliable landslide monitoring, representing a significant advancement in geospatial analysis techniques.
Aerosol Optical Depth Measurements from a Simulated Low-Cost Multi-Wavelength Ground-Based Camera: A Clear Case over a Peri-Urban Area
Authors: Boulisset Valentin , Attié Jean-Luc , Tournier Ronan , Ceamanos Xavier , Andrey Javier , Pequignot Eric , Lauret Nicolas , Gastellu-Etchegorry Jean-Philippe
Published: December 2023

This paper highlights the advantages of an affordable multi-wavelength ground-based camera, called WaltRCam, for monitoring Aerosol Optical Depth (AOD) in a clear case over a peri-urban area. To simulate the performance of this low-cost camera, for which data are not yet available, we use data from an expensive hyperspectral camera (HSI) to mimic its characteristics. Our methodology is based on the construction of look-up tables using the DART (Discrete Anisotropic Radiative Transfer) 3D radiative transfer model. DART simulates the different spectra observed by the WaltRCam camera, which then provides the AODs for all image pixels in near-real-time. Moreover, DART is coupled to a 3D scale-model of the city of Toulouse (dating from 2014) to model complex urban geometries and to associate specific optical properties to the various objects that make up the environment. Moreover, we use a neural-network-based method to recognize the various objects in the image in order to take into account only pixels common between the observations. In this way, we take account of changes to the peri-urban area, such as vegetation growth, construction, demolition of buildings, etc. The results of this study show that the WaltRCam camera, by capturing eight wavelengths, can deliver convincing results compared with ground and satellite reference data, with a correlation coefficient of 0.9 and an average RMSE of less than 0.02.
Enhancing Indoor Air Quality and Regulatory Compliance: An In-Depth Comparative Study on Ventilation Strategies and Their Impact on SARS-CoV-2 Transmission Risk
Authors: Abbaspour Atefeh , Bahadori-Jahromi Ali , Janbey Alan , Godfrey Paulina B. , Amirkhani Shiva
Published: December 2023

Enclosed-space ventilation plays a pivotal role in enhancing indoor air quality (IAQ). Various regulations and guidelines determine minimum fresh air requirements, varying by the application, country, etc. The present study employs real-time indoor CO2 measurements to calculate the actual air change rate (ACH) and models the building’s compliance with Chartered Institution of Building Services Engineers (CIBSE) guidelines to assess its impact on IAQ. The contaminant considered is the SARS-CoV-2 virus with multiple infectors, and the study calculates the virus’s transmission risk under different scenarios. Fresh air is assumed to be provided by mechanical or hybrid ventilation. The results reveal that the current building conditions are unacceptable, showing a significant gap from the recommended guideline rates. Meeting CIBSE recommendations ensures indoor air safety in terms of CO2 concentration. However, in extreme conditions with five infectors, findings show a 14% reduction in mechanical ventilation efficacy. Among the hybrid ventilation scenarios, combining CIBSE rates with natural ventilation, with a 30% door and window opening from the class outset, proves most effective in reducing the virus’s transmission risk, with a 58–70% reduction from the building’s current condition. Furthermore, implementing supplementary measures like air cleaners resulted in an additional 28–50% reduction in transmission risk.
Teacher Digital Competence Analysis in Block Programming Applied to Educational Robotics
Authors: Sánchez-Rivas Enrique , Ruiz-Roso Vázquez Coral , Ruiz-Palmero Julio
Published: December 2023

This research aims to analyze digital teaching competence in the field of block programming applied to educational robotics among active primary education teachers. The research methodology employed is defined as descriptive and exploratory. We gathered quantitative data through a structured questionnaire, reflecting the level of digital competence of the participating teachers. The results obtained from this study reveal significant deficiencies in the development of teaching digital competence, especially in the areas of robotics and educational programming. Importantly, the teachers in the sample exhibit a high level of knowledge in active pedagogies. In conclusion, we highlight the need to design training and professional development programs that enhance the digital competence of active primary education teachers, with an emphasis on training schemes geared towards robotics and educational programming.
Environmental Literacy Differences Based on Gender Identity and Race: A Social Justice Concern
Authors: Drake Katya C. , Speer James H. , Stachewicz Margaret L. , Newsham Tina M. K. , Sheets Virgil L.
Published: December 2023

Environmental literacy can empower students to make positive changes in their environment. Understanding the rates of environmental literacy in college students of color is particularly important because African American, Asian, and indigenous peoples (BIPOC) are most likely to be disproportionately impacted by environmental degradation. We administered a survey with questions regarding environmental literacy to undergraduate students at a comprehensive midwestern university in the fall of 2019 resulting in 2560 participants (about 25% of the student population). An ANOVA comparing environmental literacy summary scores demonstrated that Caucasian respondents had a statistically higher environmental literacy than African American and Native American students but were not statistically different from Asian, native Hawaiian, and mixed-race students, although all scores were low with Caucasian students scoring 39% and African American students scoring 31%. We also found that Caucasian and BIPOC women had a greater concern for the environment (F = 20.675, p < 0.001) and felt that their actions can make a difference following two separate tests (F = 18.916, p < 0.001; F = 19.003, p < 0.001) than men or gender-nonconforming students. Caucasian students have a slightly higher environmental literacy, but the scores overall are low. Women consistently report more concern for the environment and also greater empowerment to make a difference.
Comparison of Climate Change Effects on Wheat Production under Different Representative Concentration Pathway Scenarios in North Kazakhstan
Authors: Teleubay Zhanassyl , Yermekov Farabi , Rustembayev Arman , Topayev Sultan , Zhabayev Askar , Tokbergenov Ismail , Garkushina Valentina , Igilmanov Amangeldy , Shelia Vakhtang , Hoogenboom Gerrit
Published: December 2023

Adverse weather conditions, once rare anomalies, are now becoming increasingly commonplace, causing heavy losses to crops and livestock. One of the most immediate and far-reaching concerns is the potential impact on agricultural productivity and global food security. Although studies combining crop models and future climate data have been previously carried out, such research work in Central Asia is limited in the international literature. The current research aims to harness the predictive capabilities of the CRAFT (CCAFS Regional Agricultural Forecasting Toolbox) to predict and comprehend the ramifications stemming from three distinct RCPs, 2.6, 4.5, and 8.5, on wheat yield. As a result, the arid steppe zone was found to be the most sensitive to an increase in greenhouse gases in the atmosphere, since the yield difference between RCPs 2.6 and 8.5 accounted for almost 110 kg/ha (16.4%) and for 77.1 kg/ha (10.4%) between RCPs 4.5 and 8.5, followed by the small hilly zone with an average loss of 90.1 and 58.5 kg/ha for RCPs 2.6–8.5 and RCPs 4.5–8.5, respectively. The research findings indicated the loss of more than 10% of wheat in the arid steppe zone, 7.6% in the small hilly zone, 7.5% in the forest steppe zone, and 6% in the colo steppe zone due to climate change if the modeled RCP 8.5 scenario occurs without any technological modernization and genetic modification. The average wheat yield failure in the North Kazakhstan region accounted for 25.2, 59.5, and 84.7 kg/ha for RCPs 2.6–4.5, 4.5–8.5, and 2.6–8.5, respectively, which could lead to food disasters at a regional scale. Overall, the CRAFT using the DSSAT crop modeling system, combined with the climate predictions, showed great potential in assessing climate change effects on wheat yield under different climate scenarios in the North Kazakhstan region. We believe that the results obtained will be helpful during the development and zoning of modified, drought-resistant wheat varieties and the cultivation of new crops in the region.
Activated Carbon Fabricated from Biomass for Adsorption/Bio-Adsorption of 2,4-D and MCPA: Kinetics, Isotherms, and Artificial Neural Network Modeling
Authors: Alrowais Raid , Abdel daiem Mahmoud M. , Nasef Basheer M. , Said Noha
Published: December 2023

Adsorption is an effective and economical alternative to remove herbicides from polluted water. The aim of this study is to investigate the adsorption of the most common herbicides (2,4-dichlorophenoxy-acetic acid (2,4-D) and 4-chloro-2-methylphenoxyacetic acid (MCPA)) onto activated carbon (AC) fabricated from wheat straw under different conditions. The adsorption of MCPA and 2,4-D onto the selected AC (CLW) and the effects of the ionic strength, the solution pH, and the presence of microorganisms in the medium were investigated. The results showed that the selected AC had a high surface area (1437 m2/g). The adsorption rate increased with an increase in the AC mass. The selected AC had a higher adsorption capacity (1.32 mmol/g) for 2,4-D compared to MCPA (0.76 mmol/g). The adsorption of 2,4-D and MCPA was not affected by variation in the solution pH. However, the presence of electrolytes exerted a major effect on adsorption. The presence of microorganisms enhanced adsorption onto the AC by 17% and 32% for 2,4-D and MCPA, respectively. Moreover, a radial basis function neural network (RBFNN) was employed to accurately predict the adsorption capacity based on the pollutant type, carbon dose, initial concentration, pH, ionic strength, and presence of bacteria. The RBFNN showed excellent accuracy in predicting the adsorption capacity, with an R2 value of 0.96 and a root mean square error (RMSE) of 0.054. These findings showed that the AC fabricated from biomass residues of wheat straw is a promising option to recycle this type of biomass waste and reduce environmental threats, consequently contributing to achieving sustainability.
Demographic-Based Public Perception Analysis of Electric Vehicles on Online Social Networks
Authors: Priyam Tavishi , Ruan Tao , Lv Qin
Published: December 2023

Electric vehicles have gained significant popularity in the market, with sales increasing yearly. The introduction of new policies and reforms aimed at promoting environmental sustainability, coupled with the release of more advanced electric vehicles with higher driving ranges and technical specifications, has encouraged more people to consider switching to electric vehicles. However, there is still a lack of understanding of public perception and the factors influencing the decision to switch to electric vehicles, especially among people from different demographic groups. In this study, we leverage machine learning techniques to analyze public opinion about electric vehicles across different demographic groups on two online social networks (OSNs), namely Reddit and Twitter. Our analyses provide valuable insights into how users on these platforms perceive electric vehicles and the factors that influence their perception. This information can be used to inform market strategies and future policies aimed at promoting the adoption of electric vehicles.
Implementation of the UN’s Sustainable Development Goals (SDGs) among the Member Cities of the “Healthy Cities Network” in Israel
Authors: Donchin Milka , Gurewitz Lia , Wetzler Sima Lissa
Published: December 2023

The Israeli Healthy Cities Network (IHCN), as one of the accredited networks of the WHO European Healthy Cities Network in its seventh phase, started mapping the level of adoption and efforts that are being made towards achieving the 17SDGs. Data for all 55 member cities was collected from the most recent online national databases. As not all indicators are available in national data sets, an online questionnaire was distributed to all 55 cities’ health coordinators, via e-mail, to acquire the needed data; 45 of the 55 replied (81.8% response rate). All SDG measures were analyzed by socio-economic cluster (SEC) using one-way ANOVA. Implementation of some indicators was checked for association with population size of municipalities, as well as structure and process measures of the healthy cities’ operation. Cities implement between 4 and 14 SDGs, and 98% implement SDG3, while the lowest implementations are of SDG13 (44%) and SDG12 (28%). Cities in higher SECs are in a better position in relation to most SDGs. However, cities in a low SEC can achieve implementation of at least some of the goals through policy and commitment. This study provides municipalities with a baseline for tracking future progress and a tool for mapping gaps in implementation. The methodology and tools presented here could be used by any municipality, as well as by national networks and other governance bodies.
Disabling Tracing in Black-Box-Traceable CP-ABE System: Alert Decryption Black Box
Authors: Qiao Huidong , Ren Jiangchun , Wang Zhiying , Hu Ying
Published: December 2023

In application scenarios such as cloud storage, a symmetric algorithm can be used to encrypt massive data. However, using the symmetric operation and keys in encryption and decryption, it is very difficult to realize an efficient access control system. The asymmetric encryption algorithm ciphertext-policy attribute-based encryption (CP-ABE), as a versatile one-to-many encryption algorithm, is considered an ideal access control tool to solve the user’s distrust of the service provider of cloud storage. However, in a traditional CP-ABE system, the malicious users may deliberately leak their attribute keys to others or build a decryption black box (DB) to provide illegal decryption services for benefits, while no one can determine their identities. To deal with the problems, especially the problem of tracing the DB builder, CP-ABE schemes with black-box traceability have been proposed in the past few years. But in this paper, we point out that for now, the tracing algorithms in all existing schemes actually work on an impractical assumption. That is, whenever a DB receives a decryption request, it always performs the decryption algorithm honestlycorrectly. We argue that if a DB finds the decryption request comes from the tracing algorithm, it may intentionally output incorrect decryption results to counter the tracing. Thus, we present the structural defect of the tracing algorithm applied to all known traceable CP-ABE schemes. We describe the construction of an alert decryption black box (ADB) that is capable of distinguishing a tracing ciphertext from a normal one. We also show how an ADB frustrates the tracing algorithm, and furthermore, malicious users can even apply an ADB to frame innocent users.
Density of States in the 3D System with Semimetallic Nodal-Loop and Insulating Gapped Phase
Authors: Rukelj Zoran , Kupčić Ivan , Radić Danko
Published: December 2023

We investigate a single-particle density of states in the three-dimensional system described by effective two-band Hamiltonian, which describes a ground state in two distant electronic phases: the semimetalic nodal-loop phase and the insulating gapped phase. An analysis of valence bands and Fermi surfaces in both phases indicates that the density of states crucially depends on the parameter in the Hamiltonian of the system that controls a topological alternation of the Fermi surface. The signature of that alternation is expected to play an important role in all quantities closely related to the density of electronic states, such as charge transport and the optical conductivity of the system for example.
Inference of Time-Reversal Asymmetry from Time Series in a Piezoelectric Energy Harvester
Authors: Costanzo Luigi , Baldassarri Andrea , Lo Schiavo Alessandro , Sarracino Alessandro , Vitelli Massimo
Published: December 2023

We consider the problem of assessing the non-equilibrium behavior of a system from the study of time series. In particular, we analyze experimental data from a piezoelectric energy harvester driven by broadband random vibrations where the extracted power and the relative tip displacement can be simultaneously measured. We compute autocorrelation and cross-correlation functions of these quantities in order to investigate the system properties under time reversal. We support our findings with numerical simulations of a linear underdamped Langevin equation, which very well describes the dynamics and fluctuations of the energy harvester. Our study shows that, due to the linearity of the system, from the analysis of a single variable, it is not possible to evidence the non-equilibrium nature of the dynamics. On the other hand, when cross-correlations are considered, the irreversible nature of the dynamics can be revealed.
Identification of the Enterotoxigenic Potential of Staphylococcus spp. from Raw Milk and Raw Milk Cheeses
Authors: Wiśniewski Patryk , Gajewska Joanna , Zadernowska Anna , Chajęcka-Wierzchowska Wioleta
Published: December 2023

This study aimed to genotypic and phenotypic analyses of the enterotoxigenic potential of Staphylococcus spp. isolated from raw milk and raw milk cheeses. The presence of genes encoding staphylococcal enterotoxins (SEs), including the classical enterotoxins (sea-see), non-classical enterotoxins (seg-seu), exfoliative toxins (eta-etd) and toxic shock syndrome toxin-1 (tst-1) were investigated. Isolates positive for classical enterotoxin genes were then tested by SET-RPLA methods for toxin expression. Out of 75 Staphylococcus spp. (19 Staphylococcus aureus and 56 CoNS) isolates from raw milk (49/65.3%) and raw milk cheese samples (26/34.7%), the presence of enterotoxin genes was confirmed in 73 (97.3%) of them. Only one isolate from cheese sample (1.3%) was able to produce enterotoxin (SED). The presence of up to eight different genes encoding enterotoxins was determined simultaneously in the staphylococcal genome. The most common toxin gene combination was sek, eta present in fourteen isolates (18.7%). The tst-1 gene was present in each of the analyzed isolates from cheese samples (26/34.7%). Non-classical enterotoxins were much more frequently identified in the genome of staphylococcal isolates than classical SEs. The current research also showed that genes tagged in S. aureus were also identified in CoNS, and the total number of different genes detected in CoNS was seven times higher than in S. aureus. The obtained results indicate that, in many cases, the presence of a gene in Staphylococcus spp. is not synonymous with the ability of enterotoxins production. The differences in the number of isolates with genes encoding SEs and enterotoxin production may be mainly due to the limit of detection of the toxin production method used. This indicates the need to use high specificity and sensitivity methods for detecting enterotoxin in future studies.
Abrupt Increase in Detection of Locally Acquired West-Nile-Virus-Lineage-2-Mediated Neuroinvasive Disease in a Previously Non-Endemic Area of Southern Italy (2023)
Authors: Loconsole Daniela , Centrone Francesca , Sallustio Anna , Casulli Daniele , Colella Vito , Mongelli Onofrio , Venturi Giulietta , Bella Antonino , Marino Leonardo , Martinelli Domenico , Chironna Maria
Published: December 2023

West Nile virus (WNV) is a public health concern in Europe. Rising temperatures and the migration of potential vectors promote the spread of viruses to previously unaffected areas. In 2023, the Apulia region of Southern Italy experienced an unexpected increase in West Nile neuroinvasive disease (WNND); no such cases had been reported in the previous 10 years. Overall, eight autochthonous cases of WNV infection were identified between July and October 2023, six of which were WNND. All cases were male (median age, 73 years). Two of the cases were blood donors. All WNND cases were hospitalized and all recovered within a few weeks. Surveillance data showed that, in the Apulia region, WNV Lineage 2 was detected in humans, mosquitoes, and horses. Based on the number of WNND cases reported, we can assume that a high number of infections occurred during the summer period. Changes in the climate in the region over recent years could be considered among the main drivers of the rapid increase in WNV infections. Therefore, integrated surveillance should be strengthened to avoid the potential massive spread of WNV in Southern Italy. Moreover, the implementation of whole-genome sequencing of WNV strains, as well as seroepidemiological studies in the area, will facilitate a better understanding of circulation dynamics.
Determinants of the Implementation of Human Papillomavirus Vaccination in Zambia: Application of the Consolidated Framework for Implementation Research
Authors: Lubeya Mwansa Ketty , Chibwesha Carla J. , Mwanahamuntu Mulindi , Mukosha Moses , Vwalika Bellington , Kawonga Mary
Published: December 2023

Cervical cancer can be prevented, primarily by the administration of the human papillomavirus (HPV) vaccine. Healthcare workers (HCWs) and teachers play important roles when schools are used for vaccine delivery; however, challenges exist. This study aimed to understand the barriers and facilitators to HPV vaccination that are perceived by HCWs and teachers. Guided by the consolidated framework for implementation research (CFIR), key informant interviews were conducted in Lusaka district between June 2021 and November 2021 using a semi-structured questionnaire. Recorded interviews were transcribed verbatim and imported into NVIVO 12 for data management and analysis. We coded transcripts inductively and deductively based on the adapted CFIR codebook. We reached saturation with 23 participants. We identified barriers and facilitators across the five CFIR domains. Facilitators included offering the HPV vaccine free of charge, HPV vaccine effectiveness, stakeholder engagement, and timely planning of the HPV vaccination. Barriers included vaccine mistrust due to its perceived novelty, low levels of parental knowledge, myths and misinformation about the vaccine, lack of parental consent to vaccinate daughters, lack of transport for vaccination outreach, lack of staff incentives, and inadequate sensitisation. Using the CFIR as a guiding framework, we have identified implementation barriers and facilitators to HPV vaccination among HCWs and teachers. Most of the identified barriers are modifiable, hence it is prudent that these are addressed for a high HPV vaccine uptake.
A Multi-Strategy Improved Sooty Tern Optimization Algorithm for Concrete Dam Parameter Inversion
Authors: Ma Lin , Ma Fuheng , Cao Wenhan , Lou Benxing , Luo Xiang , Li Qiang , Hao Xiaoniao
Published: December 2023

A original strategy for optimizing the inversion of concrete dam parameters based on the multi-strategy improved Sooty Tern Optimization algorithm (MSSTOA) is proposed to address the issues of low efficiency, low accuracy, and poor optimizing performance. First, computational strategies to improve the traditional Sooty tern algorithm, such as chaos mapping to improve the initial position of the population, a new nonlinear convergence factor, the LIMIT threshold method, and Gaussian perturbation to update the optimal individual position, are adopted to enhance its algorithmic optimization seeking ability. Then, the measured and finite element data are combined to create the optimization inversion fitness function. Based on the MSSTOA, the intelligent optimization inversion model is constructed, the inversion efficiency is improved by parallel strategy, and the optimal parameter inversion is searched. The inversion strategy is validated through test functions, hypothetical arithmetic examples, and concrete dam engineering examples and compared with the inversion results of the traditional STOA and other optimization algorithms. The results show that the MSSTOA is feasible and practical, the test function optimization results and computational time are better than the STOA and other algorithms, the example inversion of the elastic modulus is more accurate than the traditional STOA calculation, and the results of the MSSSTOA inversion are reasonable in the engineering example. Compared with other algorithms, the local extremes are skipped, and the time consumption is reduced by at least 48%. The finite element hydrostatic components calculated from the inversion results are well-fitted to the statistical model with minor errors. The intelligent inversion strategy has good application in concrete dam inverse analysis.
Multi-Scale Periodic Variations in Soil Moisture in the Desert Steppe Environment of Inner Mongolia, China
Authors: Liu Dandan , Chang Yaowen , Sun Lei , Wang Yunpeng , Guo Jiayu , Xu Luyue , Liu Xia , Fan Zhaofei
Published: December 2023

Uncovering the complex periodic variations in soil moisture can provide a significant reference for climate prediction and hydrological process simulation. We used wavelet analysis to quantify and identify the multi-scale periodic variations of soil moisture in the desert steppe of Inner Mongolia from 2009 to 2019 and analyzed the differences between the multi-scale periodic changes in soil moisture at the bottom (BS) and upper slope (US). The results show that the interannual variability in soil moisture at the BS and US has a significant upward trend. Moreover, the amount and volatility decrease with the increase in soil depth in the range of 0–30 cm, and the soil moisture at the BS is 26.4% higher than the US. The soil moisture has periodic changes of 0.5a, 1a, 2a, 3a and 3.5a in the desert steppe environment of Inner Mongolia. The periodic structure and intensity of different slope positions are greatly different. Soil moisture at the US has more complex multi-scale periodic changes, and the periodic oscillations of 3.5a, 3a, and 1a are dominant. The periodic oscillations of 0.5a and 1a are dominant at the BS. At the BS, the intensity of periodic oscillation of 1a after January 2015 has weakened. The weakening of soil moisture by temperature, rainfall and soil temperature caused the change in the multiple time-scale periodic oscillation of soil moisture.
Early results of radiosurgical treatment of patients with non-vestibular intracranial schwannomas
Authors:   Gamma Clinic High-Precision Radiology Centre, Obninsk, Russia, Ilyalov S. R.
Published: December 2023

Non-vestibular schwannomas constitute a rare group of intracranial tumors. Surgical removal is associated with technical difficulties and a high risk of permanent dysfunction of the cranial nerves involved. Radiosurgery is an alternative method for treating intracranial tumors of various locations. Purpose of the study. Analysis of the effectiveness of radiosurgical treatment of patients with non-vestibular schwannomas. Material and methods. From March 2018 to February 2023, 19 patients with tumors of the cranial nerves, excluding vestibular schwannomas, were treated at the Gamma Clinic. One facial nerve tumor was removed and verified as a malignant nerve sheath tumor 6 months after SRS. The mean age of the patients was 46.6 years, with 6 men and 13 women. The average tumor volume before treatment was 4.0 cm3 (0.1–8.4 cm3). Radiation treatment was carried out using the Leksell Gamma Knife Perfexion. The analysis of tumor dynamics after irradiation was carried out by volumetric comparison on control MRIs. Neurological dynamics were assessed based on a face-to-face examination of the patients or based on the results of a telephone survey during remote follow-up. Results. Fifteen patients were available for outcome assessment. Median follow-up was 37.9 months (CI 95 % 12.1–50.2). In 10 patients, a decrease in tumor was noted at the time of the last MRI; in 5 patients, an increase in tumor volume was detected. Thus, tumor growth control was achieved in 10 out of 15 cases (66.6 %). Clinical symptoms regressed or remained stable in 11 cases; in other 4 patients, a temporary increase in clinical symptoms was noted due to transient post-radiation tumor enlargement, with a further decrease in symptoms to the initial level due to tumor reduction or steroid therapy. There was no persistent aggravation of symptoms after SRS. Conclusions: Stereotactic radiosurgery is an effective and safe treatment method for non-vestibular schwannomas. Given the phenomenon of post-radiation pseudoprogression, longer follow-up is required to assess tumor growth control.
Analysis of the transverse dental arch dimension stability and risk of gingival recessions associated with orthodontic treatment
Authors: Soldatova L. N. , Shefova A. V.
Published: December 2023

Relevance. Orthodontic treatment may adversely affect the periodontal health. Therefore, a comprehensive diagnosis and treatment planning with a periodontist are crucial. Dentoalveolar expansion is one of the ways to provide the space for malocclusion correction. Nevertheless, the stability of the obtained transverse dimensions remains insufficiently studied and requires additional research.Material and methods. The comparative study included the clinical and paraclinical stages. The inclusion and exclusion criteria determined the study sample formation. Each patient had orthodontic treatment with the same standard arch-changing protocol recommended by the manufacturer; the average treatment duration was 18 ± 4 months. All patients underwent a clinical examination specifically focused on the gingival recession diagnosis. During the paraclinical stage, the study investigated medical records and measured study model parameters using Pont’s (1909) and Linder-Hart (1939) indices. Measurements were made four times during orthodontic treatment: before, immediately after, one and six years after treatment. All obtained data were statistically processed using the significance criteria.Results. Study models’ analysis during the active stage of treatment revealed expansion in each segment of the dentition. However, the result is prone to relapse within the first year after the bracket system removal. Clinical examination of the oral cavity revealed gingival recessions, which appeared during the active stage of the orthodontic treatment. Thus, every third case showed marginal tissue displacement. The comparison of the initial transverse dimensions in the study and control groups detected a discrepancy between the measured and reference values, which might be a prerequisite for determining new parameters.Conclusion. A periodontist should monitor orthodontic patients to protect periodontal health. The transverse dimensions appeared to increase to the utmost in the upper and lower premolar regions. However, the achieved result does not always remain stable. Most relapses occur during the first year after the orthodontic treatment; then, the outcome remains stable.
Violencia intrafamiliar de pareja y su repercusión en la salud mental de mujeres. Estudio de caso en Manabí, Ecuador
Authors: Barreto Rivero María Lilibeth , Santos Jara Enrique Antonio
Published: December 2023

La violencia contra las mujeres, ocasionada por sus parejas, es un problema de salud pública y de vulneración de derechos, que ocurre en diferentes sociedades, culturas y estratos socioeconómicos. Estos actos de violencia se manifiestan, usualmente, como maltrato psicológico, físico, sexual, económico y patrimonial. En la mayoría de los casos estudiados, el estar expuestas a acciones de violencia genera afectaciones en su salud mental. En el presente artículo se analiza la ansiedad, como una de las expresiones del estado de salud mental de las mujeres víctimas de violencia de pareja, tomando como caso para ilustrar nuestro enfoque teórico e hipotético a las madres de familia de instituciones educativas del circuito C04 del distrito de educación de Portoviejo, provincia de Manabí. Existen evidencias empíricas que indican que, por la violencia vivida, las víctimas desarrollan algunos trastornos psicológicos, como la indefensión aprendida, ansiedad, depresión, pánico, entre otras, lo cual disminuye su capacidad para tomar decisiones, y coadyuva a generar dependencia emocional con la pareja agresiva. El presente artículo es tributario de una investigación más amplia, de carácter no experimental, de corte transversal y desde un enfoque mixto cuali-cuantitativo. Como instrumentos empíricos se utilizaron el inventario de ansiedad de Hamilton, una entrevista semiestructurada y una encuesta a 20 mujeres, para analizar sus niveles de ansiedad en relación con otras variables contextuales y psicológicas.
THE USE OF SMARTPHONES IN THE DIDACTIC PROCESS OF A MODERN SCHOOL
Authors: KRAVCHENKO I. , KHYZHA M.
Published: December 2023

Nowadays, a person can hardly do without a gadget. All participants in the educational process of a modern school are also actively involved in the use of technical means in the didactic process. In the context of the 21st century, it is crucial for a modern teacher to recognize the challenges of the times, be mindful of gadget addiction, and understand both the positive and negative attributes of smartphones. Furthermore, it is essential for parents to comprehend the value of a smartphone as a source of educational information.Practical evidence suggests that only close collaboration between schools, families, and teachers ensures effective use of technology by students. Pedagogically expedient cooperation will enable students to acquire better knowledge in the modern world.