bluuebunny/crossref_metadata_2025 huggingface dataset:
Interpolation of GNSS Position Time Series Using GBDT, XGBoost, and RF Machine Learning Algorithms and Models Error Analysis
Authors: Li Zhen , Lu Tieding , Yu Kegen , Wang Jie
Published: September 2023

The global navigation satellite system (GNSS) position time series provides essential data for geodynamic and geophysical studies. Interpolation of the GNSS position time series is necessary because missing data will produce inaccurate conclusions made from the studies. The spatio-temporal correlations between GNSS reference stations cannot be considered when using traditional interpolation methods. This paper examines the use of machine learning models to reflect the spatio-temporal correlation among GNSS reference stations. To form the machine learning problem, the time series to be interpolated are treated as output values, and the time series from the remaining GNSS reference stations are used as input data. Specifically, three machine learning algorithms (i.e., the gradient boosting decision tree (GBDT), eXtreme gradient boosting (XGBoost), and random forest (RF)) are utilized to perform interpolation with the time series data from five GNSS reference stations in North China. The results of the interpolation of discrete points indicate that the three machine learning models achieve similar interpolation precision in the Up component, which is 45% better than the traditional cubic spline interpolation precision. The results of the interpolation of continuous missing data indicate that seasonal oscillations caused by thermal expansion effects in summer significantly affect the interpolation precision. Meanwhile, we improved the interpolation precision of the three models by adding data from five stations which have high correlation with the initial five GNSS reference stations. The interpolated time series for the North, East, and Up (NEU) are examined by principal component analysis (PCA), and the results show that the GBDT and RF models perform interpolation better than the XGBoost model.
Drainage Mechanisms of Submerged Sinkholes
Authors: Tsabar Assaf , Shalev Eyal , Sagy Amir , Makovsky Yizhaq
Published: September 2023

Subsurface salt layer dissolution along the western shores of the Dead Sea is considered to be the primary cause for extensive large sinkhole formation in the past 40 years. Many of these sinkholes are arranged in clusters and are filled with water from nearby springs. The Mineral Beach resort was built in an area with a thermal spring with water emerging at around 40 °C at the Shalem sinkhole cluster. Unfortunately, the same spring was responsible for the destruction of the resort as it supplied water undersaturated with respect to halite, which promoted dissolution and sinkhole formation. The sinkholes in the Shalem cluster drain out in sudden catastrophic events and then slowly fill again. The drainage mechanisms of this phenomenon are studied in the Shalem-2 sinkhole cluster using leveling data collectors and ground-based LiDAR surveys over a period of 5 years, including thirty-five drainage events. Drainage volume and fluxes calculated using water level and topographic data obtained by LiDAR scans suggest that the formation of additional sinkholes beneath the pond’s bottom triggers drainage events. The subsequent flux shows that the evolution of the newly formed sinkholes either improves the hydraulic connection or temporarily seals the connection between the surface pond and deeper caverns/aquifers. The drainage event ends when either the hydraulic connection is sealed or when the level of water in the pond drops to the level of the newly formed sinkhole. The large volumes of drained water and drainage fluxes imply the existence of a well-developed active underground draining system.
A Multipath and Multiscale Siamese Network Based on Spatial-Spectral Features for Few-Shot Hyperspectral Image Classification
Authors: Yang Jinghui , Qin Jia , Qian Jinxi , Li Anqi , Wang Liguo
Published: September 2023

Deep learning has been demonstrated to be a powerful nonlinear modeling method with end-to-end optimization capabilities for hyperspectral Images (HSIs). However, in real classification cases, obtaining labeled samples is often time-consuming and labor-intensive, resulting in few-shot training samples. Based on this issue, a multipath and multiscale Siamese network based on spatial-spectral features for few-shot hyperspectral image classification (MMSN) is proposed. To conduct classification with few-shot training samples, a Siamese network framework with low dependence on sample information is adopted. In one subnetwork, a spatial attention module (DCAM), which combines dilated convolution and cosine similarity to comprehensively consider spatial-spectral weights, is designed first. Then, we propose a residual-dense hybrid module (RDHM), which merges three-path features, including grouped convolution-based local residual features, global residual features and global dense features. The RDHM can effectively propagate and utilize different layers of features and enhance the expression ability of these features. Finally, we construct a multikernel depth feature extraction module (MDFE) that performs multiscale convolutions with multikernel and hierarchical skip connections on the feature scales to improve the ability of the network to capture details. Extensive experimental evidence shows that the proposed MMSN method exhibits a superior performance on few-shot training samples, and its classification results are better than those of other state-of-the-art classification methods.
How Do Professionals Regard Vulnerable People in a Portuguese Community Setting? A Qualitative Content Analysis
Authors: Laranjeira Carlos , Coelho Catarina , Ferreira Catarina , Pereira Margarida , Ribeiro Maria Inês , Cordeiro Lisete , Querido Ana
Published: September 2023

The commitment to leave no one behind is at the core of the 2030 Agenda for Sustainable Development, with special attention given to people in vulnerable situations. The present study aimed to explore the perceptions and experiences of professionals who have attended to vulnerable people in a community setting. Descriptive qualitative research was conducted using qualitative content analysis of interviews with fifteen Portuguese professionals from one community-based association, who were selected via purposive sampling. Data analysis revealed nine subcategories, which were grouped into three major categories, namely: (1) meanings of human vulnerability; (2) barriers to vulnerability mitigation; and (3) approaches to addressing vulnerability. Vulnerability manifests as a discrepancy between an individual’s needs and the available resources. With the accelerated pace of globalization and the exponential rise in complexity of systems and people’s needs, vulnerability is gaining visibility, but this only emphasizes the urgent need to find customized cultural, political, and institutional responses.
“Stepping Up”: A Decade of Relationship Violence Prevention
Authors: Carter-Snell Catherine J. , Warthe D. Gaye
Published: September 2023

Students in postsecondary education are at high risk for experiencing relationship violence, including dating, domestic, and sexual violence. This can result in significant mental and physical health consequences. A relationship violence prevention program has been offered and evaluated for over 10 years at a Canadian university. It is based on a social–ecological model of violence prevention and best practices. Students who completed both pre- and post-program evaluations were used as their own controls to evaluate the effects of the program. Significant changes were noted for most aspects of the program in knowledge, attitudes, and behavioural intents each year, and these changes persisted for up to six months on most measures. The sample sizes were small and potentially overestimated the effect of the program if results were reported individually. Meta-analysis was used to pool the data and examine the effects of the program across the decade. The results indicated that the program was effective in changing knowledge, attitudes, and behavioural intents immediately following the program, but there were insufficient paired data to conduct six-month meta-analyses. Suggestions are made for future programs and further research.
Measurement and Spatial Correlation Analysis of the Development Level of the Digital Economy in the Yangtze River Delta Urban Agglomeration
Authors: Chu Hui , Ning Yuncai , Qie Xiaotong
Published: September 2023

The Yangtze River Delta Urban Agglomeration (YRDUA) is the core area for the development of China’s digital economy. This paper constructed a five-dimensional evaluation index system and measured the digital economy development level of the YRDUA. A modified gravity model social network analysis was applied to analyze the structure of the digital economy network. The results show that (1) the level of digital economy in the YRDUA has increased during 2011–2021, with Hangzhou having the highest digital economy development level of 0.513 in 2021. (2) The digital economy network density of the YRDUA increased from 0.155 in 2011 to 0.158 in 2016, and then decreased to 0.151 in 2021, showing an “inverted U-shaped” trend of first increasing and then decreasing. (3) Shanghai, Suzhou, Nanjing, Hangzhou, and Wuxi play the role of “bridge” in the digital economy network, and the pattern of linkage development of neighboring cities driven by the central cities of Shanghai, Nanjing, Suzhou, Hangzhou, Ningbo, and Hefei has basically formed. These findings of the study provide data support and reference for the coordinated development of the digital economy in the YRDUA and are of theoretical and practical significance for the synergistic development of cities.
Analysis of Ecological Efficiency, Ecological Innovation, Residents’ Well-Being and Their Improvement Paths in Chinese Resource-Based Cities—Based on the Approaches of Two-Stage Super-SBM and fsQCA
Authors: Wang Qilong , Yin Qi , Huang Muyi , Sun Wei
Published: September 2023

Over the past decades, resource-based cities have played a significant role in the development of countries worldwide. China, as a representative developing country, has seen the vital role played by resource-based cities in its development progress. However, heavy reliance on resources in these cities leads to environmental issues. The challenge lies in achieving ecological innovation and enhancing residents’ well-being within resource and environmental constraints for sustainable regional development. This study introduces a two-stage super slacks-based measure (super-SBM) approach to assess the ecological efficiency (EE), ecological innovation (EI), and residents’ well-being (RW) efficiency of 92 sample resource-based cities in China, and presents spatial and grouping comparisons. Then, the fuzzy-set qualitative comparative analysis method (fsQCA) is applied to identify paths and development orientations for sustainable development. The results show that resource-based cities in southwest and northwest China exhibit strong performance in EE, EI, and RW, while those in the northeast perform poorly. Growth and maturity resource-based cities demonstrate favorable development in EE and EI, whereas recession and regeneration resource-based cities show unsatisfactory development. The RW efficiency tends to stabilize after the rapid growth of the 92 sample resource-based cities. The fsQCA reveals five paths to achieving high EE, three paths for high EI efficiency, and two paths for high RW efficiency. These paths can be categorized into four development orientations: scale-oriented, economic-oriented, integrated-oriented, and transformation-oriented. These results provide essential references for the development planning and strategic formulation not only in China but also in other similar resource-based cities globally.
The Power of Emotional Advertising Appeals: Examining Their Influence on Consumer Purchasing Behavior and Brand–Customer Relationship
Authors: Vrtana David , Krizanova Anna
Published: September 2023

Irrationality is a strong phenomenon in consumer behavior that significantly impacts final purchase decisions. Through holistic approaches, companies have become more oriented towards emotional experiences. This study investigates the emotional impact of Dove brand advertising appeals on the frequency and intensity of emotions experienced by Slovak consumers. A theoretical framework was created for the conceptual development of emotional appeals in advertising and their impact on irrational purchasing behavior. An online questionnaire was conducted using the scale of subjective emotional habitual well-being (“SEHP”) of the psychodiagnostic tool on a sample of 417 Slovak consumers. The results show that (1) advertising with emotional appeal has different effects on consumers’ purchasing behavior depending on their age, (2) advertising with emotional appeal affects consumers more negatively than positively, and (3) the use of emotional appeal in the advertising space creates an emotional connection with the brand. Our study shows that the current trends in the influence of emotional appeal can promote impulsive and irrational buying behaviors. Thus, consumers become part of the brand, creating an emotional connection between them. This connection can result in positive purchase decisions. Creating emotional appeal in cosmetic products also has social significance in building self-confidence, status, and beauty.
The Technology Acceptance on AR Memorable Tourism Experience—The Empirical Evidence from China
Authors: Li Shuxian , Jiang Shan
Published: September 2023

The application of augmented reality (AR) technology has revolutionized the memorable tourism experience (MTE) of travelers, while challenging traditional destination marketing practices. As AR technology emerges as a promising approach to enhancing tourists’ experiences in tourism destinations, it becomes increasingly crucial to delve into the specific mechanisms through which AR generates MTE. Therefore, this study integrated MTE into the various conceptual structures of the Technology Acceptance Model (TAM), aiming to explore the antecedents and consequences of MTE formation within the TAM framework. Additionally, the specific relationship between TAM and different degrees of MTE was also discussed. The results indicated that perceived usefulness (PU) and perceived ease of use (PEOU) of AR technology are antecedents for MTE formation. In the High-MTE group, both PU and PEOU had a significant effect on MTE, but in the Low-MTE group, only PEOU had a significant effect on MTE. At the same time, the attitude towards usage (ATU) and the behavioral intention (BI) of AR are two significant consequences of MTE, in which ATU also plays the role of mediator between MTE and BI. Specifically, in the high-MTE group, MTE has a significant positive effect on both the ATU and BI of AR, while the Low-MTE group influences BI only through the complete mediating effect of ATU. This study enriched the existing literature by exploring a new model of using AR to enhance MTE, providing significant implications for future tourism research and the sustainable development of tourist destinations.
Teachers’ Experience and Perceptions of Sustainable Digitalization in School Education: An Existential Phenomenological Study of Teachers in Romania, Greece, Cyprus, Iceland, and The Netherlands
Authors: Vlachopoulos Dimitrios , Thorkelsdóttir Rannveig Björk , Schina Despoina , Jónsdóttir Jóna Guðrún
Published: September 2023

The purpose of this paper is to explore teachers’ awareness, experiences, and perceptions regarding the environmental impact of digitalization in school education across five European countries. Using an existential phenomenological approach, the study uncovers the lived experiences of 29 teachers, who participated in group semi-structured interviews. The findings highlight that teachers share a strong awareness of contemporary environmental challenges, such as climate change and pollution, and that environmental education is integrated into most school curricula, especially topics like recycling, composting, and pollution. Teachers express a genuine concern for educating students about global warming and its consequences, recognizing that today’s students will shape the future. Despite acknowledging the benefits of technology in education, teachers are not fully informed about the environmental impact of digitalization. The paper reveals teachers’ concerns about the energy consumption, carbon emissions, and electronic waste associated with digital technologies. Teachers propose strategies to address the environmental impact of digitalization, including prolonging device lifespans, responsible e-waste recycling, and promoting energy-efficient practices. They emphasize the need for proper teacher training in incorporating digitalization’s environmental impact into the curriculum. The study underscores the importance of engaging students through research activities, discussions, multimedia resources, and hands-on experiences to raise awareness about digitalization’s ecological footprint. Implications of a more informed and proactive approach to addressing the ecological footprint of digital technologies in school education are discussed.
An Evaluation of the Cracking Resistance of Steel- and Glass-Fiber-Reinforced Asphalt Mixtures Produced at Different Temperatures
Authors: Yucel Ayhan Oner
Published: September 2023

This study focuses on the effects of the production temperatures, warm mix asphalt (WMA) additive, and fiber content on the cracking resistance of steel- and glass-fiber-reinforced asphalt mixtures. By using three different approaches, which included different mixing and compaction temperatures, along with the incorporation of a WMA additive, the samples were produced utilizing the Marshall mix design method. The low-temperature cracking resistance and bottom-up fatigue cracking resistance of the asphalt mixture samples were assessed through indirect tensile (IDT) tests performed at two different test temperatures: −10 °C and 20 °C, respectively. According to the fracture work density values, glass fibers significantly improve the low-temperature cracking performance of asphalt mixtures. Furthermore, it was found that the low-temperature cracking resistance of the hot mix asphalt (HMA) mixtures containing fibers was similar to that of the mixtures prepared using the WMA additive at 15 °C lower mixing and compaction temperatures than the HMA mixtures. To conclude, the WMA additive improved the compactability of the steel- and glass-fiber-reinforced asphalt mixtures without compromising the low temperature cracking performance, despite the low mixing and compaction temperatures.
Examining Sustainable Supply Chain Management (SSCM) Performance in the Palm Oil Industry with the Triple Bottom Line Approach
Authors: Adwiyah Rabiatul , Syaukat Yusman , Indrawan Dikky , Mulyati Heti
Published: September 2023

The palm oil industry has emerged as one of the leading producers and exporters, as supported by data from the Central Bureau of Statistics in 2021, which indicates that Indonesian palm oil exports reached an impressive value of USD 18.44 billion, or IDR 258 trillion, in 2020, marking 18.43 percent growth compared to the previous year. Furthermore, the domestic markets for palm oil and palm kernel oil remain substantial despite improvements in export quantities. Various industries, including cooking oil refineries, specialty fats, shortening, margarine, bath soaps, and oleochemicals, present potential markets for palm oil (CPO) and palm kernel oil (PKO). The palm oil industry encompasses four related subsectors, namely growers, millers, refiners, and oleochemicals, forming an integrated value chain from upstream to downstream. The current focus on environmental, economic, and social sustainability drives companies to adopt internal green activities and expand their efforts toward sustainable supply chain management (SSCM). Implementing SSCM practices is often seen as economically beneficial, as research has demonstrated their positive impact on corporate performance from a resource perspective. Many green management applications are utilized in the palm oil industry. This study examines and highlights existing sustainable management practices across the entire palm oil supply chain, focusing on producing high-quality palm oil. This study utilized a systematic review methodology. A total of 62 articles were analyzed, which involved an extensive review of the relevant literature to identify research trends, gaps, and issues. This study contributes to the body of knowledge by expanding the theory of organizational readiness to prepare globally competitive palm oil products. The research findings hold practical significance for practitioners and academics by providing a comprehensive road map for implementing green management applications at the organizational level in the palm oil industry’s upstream-to-downstream chain.
Engaging Citizens in the Bioeconomy: Insights from the Co-Creation and Co-Design in the Development of the Serious Bioeconomy Game “Mission BioHero”
Authors: Tatar Merit , Khrapunenko Mariia , Henahan Richard Karl , Asser Andra
Published: September 2023

In serious game design, there is a growing trend towards involving players more substantially in the development process. However, several scholars and practitioners agree that still more research and empirical data are needed to guide such participatory prototyping processes. So far, less focus has been put on the influence of co-creation and co-design on participants in the process. This article explores the co-creation and co-design process in creating a serious game called “Mission BioHero”, with a focus on sustainability and the bioeconomy. The game aims to engage citizens in the bioeconomy, help them learn in a fun and interactive way, and aggregate their ideas to shape bioeconomy policies. This serious game was fully co-created and co-designed with citizens and stakeholders from eight regions in five European countries. This research investigates the nature and impact of co-creation and co-design on game development and its driving success factors, explores educational capacities of this participatory process on participants, and evaluates its impact on the co-designed serious game. The findings draw upon empirical data gathered from the co-creation and co-design phases, participants’ feedback, and external game players’ input. The study confirms the value of the participatory design process in serious games design and offers methodologies, tools and lessons learned for similar future processes.
Determination of Residual Municipal Solid Waste Composition from Rural and Urban Areas: A Step toward the Optimization of a Waste Management System for Efficient Material Recovery
Authors: Triassi Maria , De Simone Bruna , Montuori Paolo , Russo Immacolata , De Rosa Elvira , Di Duca Fabiana , Crivaro Claudio , Cerullo Vittorio , Pontillo Patrizia , Díez Sergi
Published: September 2023

Residual municipal solid waste (RMSW) is a rapidly expanding problem worldwide and a good waste management system could reduce concerns about its correct treatment. The purpose of this study was to characterize RMSW from urban and rural areas with the ultimate goal of estimating the recycling potential of the identified fractions and implementing waste collection and recovery methods according to the type of area that generates them. A direct sampling campaign of RMSW was performed. The results showed that the highest organic waste rate was found in the rural area (11.9%); urban-area-produced RMSW mainly constituted recyclable fractions such as plastic (26.3%), paper (21.8%), glass (3.5%) and metals (3.3%). The physical-chemical characteristics of RMSW showed levels of heavy metals below the detection threshold. The conditions necessary for composting could be met only for the organic fraction coming from rural areas as demonstrated by a pH value of 6.9 and a moisture content of 46.5%. These data will be extended to all the urban and rural areas to design appropriate disposal and/or recovery plants with profitable economic interventions that will lead to a reduction in costs in the planning of the integrated solid waste management.
Enhancing the Effectiveness of Cause-Related Marketing: Visual Style, Self-Construal, and Consumer Responses
Authors: Fu Huijian , Meng Jiayu , Chen Yiman , Cai Wei , Lai Jinhui , Ma Haiying
Published: September 2023

The visual presentation of cause-related marketing (CRM) messages is gaining increasing attention from researchers and practitioners. This study delves into the impact of the visual style of CRM messages on consumer responses and the moderating role of self-construal. The results demonstrate that visual style has a significant effect on consumer responses, as cause-focused messages engender a higher brand attitude and purchase intention than product-focused messages (Studies 1 and 2). Meanwhile, the effects of visual style on both consumers’ brand attitude and purchase intention are mediated by the perceived self-serving motives. Importantly, self-construal moderates the relationship between visual style and consumer responses (Study 2). Cause-focused messages lead to enhanced brand attitudes and purchase intentions than product-focused messages by reducing the perceived self-serving motives for consumers with an interdependent self-construal, although not for consumers with an independent self-construal. Grounded in these findings, the theoretical contributions and practical implications are discussed.
Barbed vs. Conventional Sutures in Bariatric Surgery: Early and Late Outcomes
Authors: Pennestrì Francesco , Sessa Luca , Prioli Francesca , Gallucci Pierpaolo , Salvi Giulia , Procopio Priscilla Francesca , Martullo Annamaria , Petrazzuolo Eleonora , Di Lorenzo Sofia , Ciccoritti Luigi , Giustacchini Piero , Greco Francesco , Revelli Luca , Marincola Giuseppe , Laurino Antonio , De Crea Carmela , Raffaelli Marco
Published: September 2023

The implementation of barbed sutures appears to enhance the process of suturing and knot tying, particularly in the field of bariatric surgery, where they can offer significant advantages. The objective of this study is to evaluate the safety and effectiveness of utilising barbed sutures for gastric pouch-jejunal anastomosis (GPJA) and jejuno-jejunal anastomosis (JJA) anastomosis in Roux-en-Y Gastric Bypass (RYGB). Data from patients who underwent primary RYGB between January 2012 and October 2018 were retrospectively collected using Propensity Score Matching (PSM) to randomise groups (barbed sutures—BS-G and conventional sutures—CS-G). The primary outcome was postoperative early complications. The secondary outcomes were late complications (internal hernias and small bowel obstructions), operative time and postoperative hospital stay. A total of 969 patients were included. After PSM, 322 (161 in BS-G vs. 161 in CS-G) patients were compared (chi-square 0.287, p = 0.862). Postoperative early and late complications were comparable between the two groups. BS-G had a significantly shorter median operative time (65 vs. 95 min p < 0.001). Median postoperative hospital stay was significantly shorter for BS-G (2 vs. 5 days, p < 0.001). Barbed sutures effectively reduce the operation duration and are as safe as conventional sutures for closing anastomotic defects during RYGB.
Examples of Expansions in Fractional Powers, and Applications
Authors: Caratelli Diego , Natalini Pierpaolo , Ricci Paolo Emilio
Published: September 2023

We approximate the solution of a generalized form of the Bagley–Torvik equation using Taylor’s expansions in fractional powers. Then, we study the fractional Laguerre-type logistic equation by considering the fractional exponential function and its Laguerre-type form. To verify our findings, we conduct numerical tests using the computer algebra program Mathematica©.
Application of the Double Sumudu-Generalized Laplace Transform Decomposition Method to Solve Singular Pseudo-Hyperbolic Equations
Authors: Eltayeb Hassan
Published: September 2023

In this study, the technique established by the double Sumudu transform in combination with a new generalized Laplace transform decomposition method, which is called the double Sumudu-generalized Laplace transform decomposition method, is applied to solve general two-dimensional singular pseudo-hyperbolic equations subject to the initial conditions. The applicability of the proposed method is analyzed through demonstrative examples. The results obtained show that the procedure is easy to carry out and precise when employed for different linear and non-linear partial differential equations.
A Bi-Objective Optimization Model for a Low-Carbon Supply Chain Network with Risk of Uncertain Disruptions
Authors: Wang Yingtong , Ji Xiaoyu , Lang Yutong
Published: September 2023

Disruption risks exacerbate the complexity of low-carbon supply chain network design in an uncertain supply chain environment. Considering the low frequency and non-repeatability of these disruption events makes it impossible to collect data to obtain their probabilities. In this study, supply disruptions were regarded as uncertain events; supply chain uncertain disruption risk is defined and quantified based on the uncertainty theory, in which uncertain disruptions are characterized by the belief degree on account of expert estimation with duality, i.e., symmetry. Optimization models were constructed with the objective of minimizing expected carbon emissions and costs, which optimizes the selection of suppliers with uncertain disruptions, and the assignment of manufacturers and customers. The properties of the model were analyzed, and the models were solved separately using different methods according to different decision criteria. Finally, the validity of the proposed models and algorithm were verified using a real case study of a glass manufacturing company. The findings exhibit promising insights for designing a sustainable and resilient supply chain network in an uncertain environment.
The Cross-Intersecting Family of Certain Permutation Groups
Authors: Han Hua
Published: September 2023

Two subsets X and Y of a permutation group G acting on Ω are cross-intersecting if for every x∈X and every y∈Y there exists some point α∈Ω such that αx=αy. Based on several observations made on the cross-independent version of Hoffman’s theorem, we characterize in this paper the cross-intersecting families of certain permutation groups. Our proof uses a Cayley graph on a permutation subgroup with respect to the derangement. By carefully analyzing the cross-independent version of Hoffman’s theorem, we obtain a useful theorem to consider cross-intersecting subsets of certain kinds of permutation subgroups, such as PGL(2,q), PSL(2,q) and Sn.
Meson-Exchange Currents in Quasielastic Electron Scattering in a Generalized Superscaling Approach
Authors: Casale Paloma Rodriguez , Amaro Jose Enrique , Barbaro Maria B.
Published: September 2023

We introduce a method for consistently incorporating meson-exchange currents (MEC) within the superscaling analysis with relativistic effective mass, featuring a new scaling variable, ψ*, and single-nucleon cross-sections derived from the relativistic mean field (RMF) model of nuclear matter. The single-nucleon prefactor is obtained from the 1p1h matrix element of the one-body current, combined with the two-body current, averaged over a momentum distribution of Fermi kind. The approach is applied to selected quasielastic cross-sectional data on 12C. The results reveal a departure from scaling behavior, yet, intriguingly, the data collapse into a discernible band that is parametrized using a simple function of ψ*. This calculation, as developed, is not intended to provide pinpoint precision in extracting nuclear responses. Instead, it offers a global description of the quasielastic data with a considerable level of uncertainty. However, this approach effectively captures the overall trends of the quasielastic data beyond the Fermi gas model with a minimal number of parameters. The model incorporates partially transverse enhancement of the response, as embedded within the relativistic mean field framework. However, it does not account for enhancements attributed to the combined effects of tensor correlations and MEC, given that the initial RMF model lacks these correlations. A potential avenue for improvement involves starting with a correlated Fermi gas model to incorporate additional enhancements into single-nucleon responses. This study serves as a practical demonstration of implementing such corrections.
Analytical Technique Leveraging Processing Gain for Evaluating the Anti-Jamming Potential of Underwater Acoustic Direct Sequence Spread Spectrum Communication Systems
Authors: Wang Xiaowei , Zhou Qidou
Published: September 2023

This study proposes an analytical technique underpinned by processing gain to evaluate the anti-jamming potential of an underwater acoustic direct-sequence spread-spectrum (DSSS) communication system that employs a short-period pseudo-noise (PN) sequence. The processing gain comes from the symmetry of the coding, which provides a mechanism for separating desired signals from unwanted ones, and the apparent randomness of the coding, which suppresses interference and noise in the system. The robustness of such a system against wideband interference, partial-band jamming, and single-frequency interference is emulated. Outcomes suggest that, in comparison to a standard binary phase shift keying (BPSK) system, the DSSS system’s ability to resist wideband interference is limited, with only a marginal increase in immunity performance of approximately 0.5 dB. Contrarily, it suppresses partial-band jamming effectively, with the suppression level dependent on the interference bandwidth and its relative position concerning the signal carrier frequency. The influence of single-frequency interference on system performance depends similarly on its relative location relative to the signal carrier frequency. In all situations where the interference frequency offset is an integer multiple of the bit bandwidth, the system exhibits the worst performance when the frequency offset equals the bit bandwidth. Upon comparing resistance levels to identical power interferences targeted at the signal carrier frequency, our system demonstrates optimal resilience to single-frequency interference. In concordance with the empirical findings, the simulated results substantiate both the effectiveness and practicability of the proposed analytical method based on processing gain. Subsequently, this study contributes a novel perspective for evaluating the anti-jamming potential of DSSS systems.
Discovering the Protective Effects of Quercetin on Aflatoxin B1-Induced Toxicity in Bovine Foetal Hepatocyte-Derived Cells (BFH12)
Authors: Pauletto Marianna , Giantin Mery , Tolosi Roberta , Bassan Irene , Bardhi Anisa , Barbarossa Andrea , Montanucci Ludovica , Zaghini Anna , Dacasto Mauro
Published: September 2023

Aflatoxin B1 (AFB1) induces lipid peroxidation and mortality in bovine foetal hepatocyte-derived cells (BFH12), with underlying transcriptional perturbations associated mainly with cancer, cellular damage, inflammation, bioactivation, and detoxification pathways. In this cell line, curcumin and resveratrol have proven to be effective in mitigating AFB1-induced toxicity. In this paper, we preliminarily assessed the potential anti-AFB1 activity of a natural polyphenol, quercetin (QUE), in BFH12 cells. To this end, we primarily measured QUE cytotoxicity using a WST-1 reagent. Then, we pre-treated the cells with QUE and exposed them to AFB1. The protective role of QUE was evaluated by measuring cytotoxicity, transcriptional changes (RNA-sequencing), lipid peroxidation (malondialdehyde production), and targeted post-transcriptional modifications (NQO1 and CYP3A enzymatic activity). The results demonstrated that QUE, like curcumin and resveratrol, reduced AFB1-induced cytotoxicity and lipid peroxidation and caused larger transcriptional variations than AFB1 alone. Most of the differentially expressed genes were involved in lipid homeostasis, inflammatory and immune processes, and carcinogenesis. As for enzymatic activities, QUE significantly reverted CYP3A variations induced by AFB1, but not those of NQO1. This study provides new knowledge about key molecular mechanisms involved in QUE-mediated protection against AFB1 toxicity and encourages in vivo studies to assess QUE’s bioavailability and beneficial effects on aflatoxicosis.
Towards Sustainable Cities: Utilizing Computer Vision and AI for Efficient Public Lighting and Energy Management
Authors: Vanin Anderson , Belan Peterson
Published: September 2023

This study showcases the optimization of public lighting systems using computer vision with an emphasis on the YOLO algorithm for pedestrian detection, aiming to reduce energy expenses. In a time when the demand for electricity is escalating due to factors like taxes and urban expansion, it is imperative to explore strategies to cut costs. One pivotal area is public lighting management. Presently, governments are transitioning from sodium vapor lighting to LED lamps, which already contributes to decreasing consumption. In this scenario, computer vision systems, particularly using YOLO, have the potential to further reduce consumption by adjusting the power of LED lamps based on pedestrian traffic. Additionally, this paper employs fuzzy logic to calculate lamp power based on detected pedestrians and ambient lighting, ensuring compliance with the NBR 5101:2018 standard. Tests with public surveillance camera images and simulations validated the proposal. Upon implementing this project in practice, a 45% reduction in public lighting consumption was observed compared to conventional LED lighting.
Adsorption of Heavy Metals: Mechanisms, Kinetics, and Applications of Various Adsorbents in Wastewater Remediation—A Review
Authors: Raji Zarifeh , Karim Ahasanul , Karam Antoine , Khalloufi Seddik
Published: September 2023

Heavy metal contamination in wastewater is a significant concern for human health and the environment, prompting increased efforts to develop efficient and sustainable removal methods. Despite significant efforts in the last few decades, further research initiatives remain vital to comprehensively address the long-term performance and practical scalability of various adsorption methods and adsorbents for heavy metal remediation. This article aims to provide an overview of the mechanisms, kinetics, and applications of diverse adsorbents in remediating heavy metal-contaminated effluents. Physical and chemical processes, including ion exchange, complexation, electrostatic attraction, and surface precipitation, play essential roles in heavy metal adsorption. The kinetics of adsorption, influenced by factors such as contact time, temperature, and concentration, directly impact the rate and effectiveness of metal removal. This review presents an exhaustive analysis of the various adsorbents, categorized as activated carbon, biological adsorbents, agricultural waste-based materials, and nanomaterials, which possess distinct advantages and disadvantages that are linked to their surface area, porosity, surface chemistry, and metal ion concentration. To overcome challenges posed by heavy metal contamination, additional research is necessary to optimize adsorbent performance, explore novel materials, and devise cost-effective and sustainable solutions. This comprehensive overview of adsorption mechanisms, kinetics, and diverse adsorbents lays the foundation for further research and innovation in designing optimized adsorption systems and discovering new materials for sustainable heavy metal remediation in wastewater.
Rapid Ovarian Reserve Decline in a Woman with Pericentric Inv(9) Variant
Authors: Bui Leeann M. , Cooney Laura G. , Stanic Aleksandar K.
Published: September 2023

Inv(9) is one of the most common chromosomal variants and is generally considered to be a variant of no clinical significance. We describe a case of a 35-year-old woman with a normal baseline fertility workup who presented to a university-affiliated fertility clinic after eight months of attempting conception. She underwent a rapid decline in anti-Mullerian hormone (AMH) from 10.0 ng/mL to 0.5 mg/mL and cycle day 3 (CD3) antral follicle count (AFC) from 58 to 4 total follicles during 18 months of follow-up. Her karyotype demonstrated a reportedly benign 46XX, Inv(9)(p11q13) variant. During follow-up and fertility treatment, she achieved pregnancy three times, but they all ended in chemical pregnancies. A systematic review of the literature identified 24 publications evaluating the association between infertility or recurrent pregnancy loss (RPL) and Inv(9). We report the prevalence of Inv(9) in women with infertility and the prevalence of infertility or RPL in women with Inv(9) mutation. Although Inv(9) has previously been considered to be a normal variant, several publications support the possible correlation between Inv(9) with reproductive failure. There has been limited literature regarding this association, and future studies should consider higher-resolution genomic detection methods to identify Inv(9)-related chromosomal rearrangements in couples presenting with infertility.
ANÁLISE MULTICRITÉRIO, EM AMBIENTE SIG, PARA ZONEAMENTO DE RISCO DE INCÊNDIOS FLORESTAIS EM ÁREAS DE BACIAS HIDROGRÁFICAS
Authors: Schwaickartt Feitosa Tiago Henrique , Caldas Anildo Monteiro , Braga Salatiel Ewen , Lustosa Perônico Allana Monique Bezerra , Da Silva Ântony Eliel Andrade , De Souza Silva Lucas José , Tarlé Pissarra Teresa Cristina , Rizzi Neto Euzônio , Francisco de França Richárlisson Filipe , Correia Alice Pedrosa
Published: September 2023

A temática de incêndios florestais está cada vez mais em pauta, seja por influência de mudanças climáticas ou por efeitos antrópicos, havendo grande preocupação com seus efeitos prejudiciais ao ambiente. A partir disto, esta pesquisa objetivou o mapeamento do potencial de risco de incêndios florestais na bacia hidrográfica do rio Tapacurá, utilizando ferramentas de sensoriamento remoto e processamento de dados através de Sistemas de Informação Geográficos (SIGs). Para isto, foram utilizadas metodologias adaptadas dos trabalhos de Chuvieco e Congalton, sendo possível determinar diferentes classes de risco de incêndio, variando de baixo, médio à alto, para diversos fatores ambientais que irão influenciar estes processos, tais como o uso e ocupação do solo, declividade do relevo, deficiência hídrica anual, precipitação pluviométrica, altitude, temperatura média do ar, evapotranspiração real anual e a orientação das faces de encostas. Através destes fatores, foi possível obter o mapa de risco de incêndio que denotou 48,49% da área da bacia encontrando-se sob nível médio de risco de incêndio, seguido por 41,28% da área sob alto risco de incêndio, e 10,23% da área constituída por baixo nível de risco de incêndio. O estudo permitiu a melhor compreensão destes riscos sobre a área da bacia, como também apresentou grande potencial para nortear a tomada de decisão da esfera pública para possíveis medidas de prevenção e combate de focos de incêndio.
Integration of social determinants of health information within the primary care electronic health record: a systematic review of patient perspectives and experiences
Authors: Arroyave Caicedo Nicolle Marianne , Parry Emma , Arslan Nazan , Park Sophie
Published: September 2023

Background

Social determinants of health (SDOH) are the non-medical factors that impact health. Although geographical measures of deprivation are used, individual measures of social risk could identify those most at risk and generate more personalised care and targeted referrals to community resources. We know SDOH are important to health care, but it is not yet known whether their collection via the electronic health record (EHR) is acceptable and useful from the patient perspective.

Aim

To synthesise relevant literature to explore patient perspectives on integrating information about SDOH into primary care EHRs, and the opportunities and challenges of its implementation in a general practice setting.

Design & setting

Systematic review of primary care-based qualitative and mixed-method studies using thematic framework analysis.

Method

Key databases were searched for articles reporting patient perspectives of SDOH collection within the primary care EHR. Qualitative and mixed-methods studies written in English were included. A framework analysis was conducted to identify themes.

Results

From 14 included studies, the following five main themes were identified: rationale for SDOH screening and the anticipated outcomes; impact of the provider–patient relationship on patient perceptions; data, which included privacy concerns; screening process and referral; and recommendations for future research.

Conclusion

Integration of information on SDOH into the EHR appears acceptable to patients. This review has added to the discussion of whether and how to implement SDOH screening and referral programmes into UK primary care systems.
O papel da linguagem na experiência religiosa a partir da obra De Magistro de Agostinho
Authors: Mary Torres Graziele de Oliveira , De Oliveira Torres Neto Jungley
Published: September 2023

O presente trabalho tem por objetivo analisar a obra De Magistro de Agostinho e, através dela, lançar lumes à reflexão da experiência religiosa pelo fio condutor da linguagem e trazer contribuições à área da Filosofia da Religião. Para este propósito, embasar-se-á a investigação em obras e revisões de literaturas especializadas, a fim de abordar o conteúdo e a fundamentação do tema proposto. Diante do colóquio entre o filósofo Agostinho e o seu filho Adeodato na obra supracitada, analisar-se-á o fato de que não se pode falar sobre uma determinada coisa sem sinal, se, no momento em que a fazemos, somos interrogados; mais precisamente, as palavras, enquanto signos, significam alguma coisa, palavras são sempre sinais (signos) e, igualmente, um sinal não pode ser sinal sem significar algo. Nesse itinerário, a linguagem passa a se configurar tão fundamental em nossa relação com o mundo, tanto do ponto de vista cognitivo, quanto prático, que será encaminhada à articulação e o embasamento teórico de que na potencialidade da linguagem está contida a condição de possibilidade de experiência entre ser humano e sagrado.
Axé do meu axé:
Authors: Maurano Savedra Alan Paulo , Portella Pereira Danille Priscilla
Published: September 2023

O presente trabalho tem por objetivo geral compreender o papel do Candomblé em uma educação libertadora. Para tanto, tomando como base teórica o escrito “O Papel Educativo das Igrejas na América Latina” de Paulo Freire, é traçada uma relação de ferramentas que uma religião possui nesse processo de libertação através da educação. Esta pesquisa será aplicada em um Barracão de Candomblé localizado em uma cidade no interior do Estado do Rio de Janeiro. Mediante um estudo observacional participativo, busca-se depreender as dinâmicas da transmissão de ensinamentos dentro do Candomblé e também o comportamento de seus participantes na construção de saberes, além da forma como concebem a transcendência e sua relação com o mundo, bem como o seu papel nesta relação. Ao final do estudo, o papel presente e seu “inédito viável” do Candomblé em uma educação libertadora são analisados através dos dados obtidos.
Errâncias de Eros
Authors: Bezerra Matheus Felipe
Published: September 2023

Resultado de uma iniciação científica entre os anos de 2019 a 2020 na Universidade Federal da Paraíba, o presente artigo busca analisar e levantar um debate acerca da manifestação do erótico a partir de O banquete, obra de Platão, filósofo grego do século V AEC sobre a essência do deus Eros, aliado aos comentários filosóficos acerca do erotismo na teoria do filósofo francês Georges Bataille, em seus aspectos ambíguos das pulsões favorecedoras do erótico: vida e morte; continuidade e descontinuidade. Tem-se como ponto de partida para as discussões uma interpretação do mito do deus Eros da tradição do poeta Hesíodo na Teogonia. Por fim, compreendendo a instauração do sagrado na consciência humana por meio de uma transcendência em relação ao mundo em sua volta, isto é, a dicotomia do humano opostamente à animalidade, aspecto o qual Bataille aborda.