bluuebunny/crossref_metadata_2025 huggingface dataset:
Humor Helps: An Experimental Analysis of Pro-Environmental Social Media Communication
Authors: Bonnici Therese , Briguglio Marie , Spiteri Glen William
Published: March 2023

Communication-based interventions are popular among both governmental and non-governmental organizations in many environmental domains. Yet, studies on the role of humor in social media communication to stimulate pro-environmental behavior have received limited attention. This study employs an experimental approach to assess the effect of using humor (in the form of satirical cartoons) either alongside, or in place of, factual pro-environmental messages in social media communication. It assesses the impact of humor in stimulating a reaction to a pro-environmental message on social media, a share, or a declared intent to change behavior. Our findings reveal that the inclusion of humor elicits a greater response than a factual message alone but that combining a humorous cartoon with a factual text creates the greatest difference. These findings are fairly consistent across six environmental domains and survive formal regression analysis which controlled for the impacts of co-determinants such as age, gender, education, social media engagement, and environmental preferences.
Shaping the Knowledge Base of Bioeconomy Sectors Development in Latin American and Caribbean Countries: A Bibliometric Analysis
Authors: Ordoñez Olivo Maria Lourdes , Lakner Zoltán
Published: March 2023

Academic research on bioeconomy sectors in Latin American and Caribbean countries has developed exponentially over the last few years. Based on the Web of Science (WOS) database and statistical analysis of more than 18.9 thousand documents, the current article offers a bibliometric analysis of these datasets. The main bioeconomy sector identified in the results was biofuel production and all the background terms related to the primary processes of bioenergy. The other segments of the bioeconomy in the Latin America and Caribbean (LAC) region have not yet been studied with the same relevance as biofuels. Since 2008, researchers from Latin American and Caribbean countries have participated significantly in the scientific production of the field studied. However, the most relevant scientific journals belong to European countries or the United States. Journals from Latin American and Caribbean countries have very low representation, although the search topics are directly related to this region. Based on the co-occurrence of keywords, eight clusters with different levels of importance can be distinguished: (1) agriculture; (2) climate change; (3) biodiversity; (4) bioremediation; (5) bioenergy; (6) biofuels; (7) energy efficiency; and (8) bioeconomy. The above results highlight the significant research gap between biofuels and other types of bioeconomy sectors in the region. This is despite the immense biodiversity potential of the LAC countries, which can generate innovative products with bioeconomic added value that can stimulate scientific research in the sustainable bioeconomy.
Numerical Simulation of Assembly Process and Sealing Reliability of T-Rubber Gasket Pipe Joints
Authors: Han Yang , Han Guoqi , Li Dongqiao , Duan Junfeng , Yan Yewen
Published: March 2023

Underground pipelines are vital parts to urban water supply, gas supply, and other lifeline systems, affecting the sustainable development of cities to a great extent. The pipeline joint, which is a weak link, may be seriously damaged during natural disasters such as earthquakes. The failure of pipe joints can cause leakage accidents, resulting in system failure and interruption, and even some secondary disasters. Herein, based on uniaxial and plane tensile test results of a T-rubber gasket material, the assembly process and sealing performance of a T-rubber gasket joint of a ductile iron pipe are numerically simulated using the Ogden third-order strain energy density function to fit the material constant. The simulation accounts for severe nonlinearities, including large deformations, hyperelasticity, and complex contacts. The effects of the assembly friction coefficient, assembly depth, and radial clearance deviation of the socket and spigot on the seal contact pressure are analyzed. The results suggest that the entire history of the deformation and stress variations during assembly can be clearly visualized and accurately calculated. For the different friction coefficients, the assembly depth corresponding to the sliding friction condition of the spigot pipe was 74 mm, while the minimum pushing force required to assemble the T-rubber gasket joint of a DN300 ductile iron pipe was 6.8 kN at the ideal situation with a friction coefficient of 0. The effective contact pressure of the rubber gasket seepage surface under various operating conditions is much higher than the normal pressure of municipal pipelines, thus indicating that the rubber gasket joint exhibits the ideal sealing performance. Furthermore, a certain deviation, which is about 20 mm, is allowed for the assembly depth of the rubber gasket joint such that the axial displacement of the pipe joint can be adapted under an earthquake or ground displacement.
Development of an Intelligent Personal Assistant System Based on IoT for People with Disabilities
Authors: Ali Abd-elmegeid Amin , Mashhour Mohamed , Salama Ahmed S. , Shoitan Rasha , Shaban Hassan
Published: March 2023

Approximately 15% of the world’s population suffers from different types of disabilities. These people face many challenges when trying to interact with their home appliances. Various solutions are introduced to increase their quality of life, such as controlling their devices remotely through their voices. However, these solutions use command templates that fail to understand the unstructured or semi-structured command. Many authors have recently integrated intelligent personal assistant (IPA) systems, such as Google Assistant, Siri, and Alexa, with control circuits to exploit the advantages of the NLP of these IPAs to control traditional home appliances. However, this solution still struggles with understanding unstructured commands and requires the internet to be available for controlling the devices. This research proposes a new IPA system integrated with IoT, called IRON, for disabled people to use to control customizable devices with a structured and unstructured voice command. The proposed algorithm receives voice orders from the person in a structured or unstructured form and transforms them into text based on the Google Speech-to-Text API. The natural language processing technique splits the commands into tokens to determine the device name and the command type, whether it is a question about device status or a statement. Afterward, the logistic regression classifies the rest of the tokens as positive or negative to turn on or off the device, then sends the command to a Raspberry Pi to control the device. The proposed IRON system is implemented using logistic regression, naïve Bayes, and the support vector machine and is trained on a created dataset consisting of 3000 normal, negative, and unstructured commands. The simulation results show that the IRON system can determine 90% of the device’s names for all commands. Moreover, the IRON correctly classifies 100% of the commands as positive or negative within approximately 30 s.
New Approaches to the Concept of Energy Transition in the Times of Energy Crisis
Authors: Gitelman Lazar D. , Kozhevnikov Mikhail V.
Published: March 2023

The article presents conceptual foundations for solving the problem of global importance that determines the sustainable development of all countries and regions without exception. The energy transition is being implemented amid the unfolding global energy crisis; economic ties and logistics routes are being broken and rebuilt; and political decisions are being taken, shaping the socio-economic and technical architecture of the world. Having summarized scientific publications and analytical reports and the results of expert surveys, the authors were able to substantiate that the energy transition is an interdisciplinary task that requires taking into account numerous factors of different nature and risks arising from the one-sided orientation of energy systems to use a particular type of energy source or type of energy production. As the main conceptual provision of the article, a thesis about the social equivalence of the final results of the energy transition is put forward: reducing greenhouse gas emissions and ensuring the reliability of energy supply and a socially acceptable level of electricity prices. New elements of the energy transition concept include the definition of transformation milestones, a diversified technical policy, and tools for advanced training of personnel to work in complex projects of energy system transformations. It has been proven that the main factor for the successful implementation of the energy transition is the presence of a technical policy, i.e., a set of measures that enable consistent decisions regarding various types of generating capacities, the development of the power grid complex, and the transformation of power-consuming systems. As part of this policy, special attention is paid to recommendations for the development of thermal and nuclear power plants, which are often ignored within long-term energy transition programs.
5G Frequency Standardization, Technologies, Channel Models, and Network Deployment: Advances, Challenges, and Future Directions
Authors: Imam-Fulani Yusuf Olayinka , Faruk Nasir , Sowande Olugbenga A. , Abdulkarim Abubakar , Alozie Emmanuel , Usman Aliyu D. , Adewole Kayode S. , Oloyede Abdulkarim A. , Chiroma Haruna , Garba Salisu , Imoize Agbotiname Lucky , Baba Bashir Abdullahi , Musa Abdulwaheed , Adediran Yinusa A. , Taura Lawan S.
Published: March 2023

The rapid increase in data traffic caused by the proliferation of smart devices has spurred the demand for extremely large-capacity wireless networks. Thus, faster data transmission rates and greater spectral efficiency have become critical requirements in modern-day networks. The ubiquitous 5G is an end-to-end network capable of accommodating billions of linked devices and offering high-performance broadcast services due to its several enabling technologies. However, the existing review works on 5G wireless systems examined only a subset of these enabling technologies by providing a limited coverage of the system model, performance analysis, technology advancements, and critical design issues, thus requiring further research directions. In order to fill this gap and fully grasp the potential of 5G, this study comprehensively examines various aspects of 5G technology. Specifically, a systematic and all-encompassing evaluation of the candidate 5G enabling technologies was conducted. The evolution of 5G, the progression of wireless mobile networks, potential use cases, channel models, applications, frequency standardization, key research issues, and prospects are discussed extensively. Key findings from the elaborate review reveal that these enabling technologies are critical to developing robust, flexible, dependable, and scalable 5G and future wireless communication systems. Overall, this review is useful as a resource for wireless communication researchers and specialists.
Bacillus Thuringiensis Enhances the Ability of Ryegrass to Remediate Cadmium-Contaminated Soil
Authors: Jin Jiyuan , Mi Ruidong , Li Qiao , Lang Jian , Lan Yushu , Huang Na , Yang Gang
Published: March 2023

Phytoremediation technology has been widely used for the remediation of heavy metals in soil due to its favorable environmental and ecological effects, but establishing a single phytoremediation technology can result in bottlenecks, such as a long cycle, low biomass, and difficulty in root absorption. At present, inoculation with microorganisms that could assist plants in their remediation of contaminated soils is attracting increasing attention. Therefore, in this study we selected ryegrass and Bacillus thuringiensis (SY) and analyzed the effects of SY inoculation on the growth of ryegrass, including the accumulation of Cd in ryegrass, changes in heavy metal forms, and the heavy metal content in rhizosphere soil, using pot experiments. The results indicate that SY inoculation promotes root growth and development of the ryegrass and the accumulation of cadmium in the plants. In addition, SY inoculation increased the levels of soil nutrients and the activities of soil urease, sucrase, and alkaline phosphatase. This study reveals that the use of SY improves the remediation efficiency of ryegrass for cadmium-contaminated soil, and supports the application potential of microorganisms in soil remediation technology.
Exploring the Reverse Relationship between Circular Economy Innovation and Digital Sustainability—The Dual Mediation of Government Incentives
Authors: Rehman Fazal Ur , Al-Ghazali Basheer M. , Haddad Adel Ghaleb , Qahwash Ehab Abdullatif , Sohail M. Sadiq
Published: March 2023

The current study aims to examine the reverse association between circular economy innovation (CEI) and digital sustainability (DS), as well as the dual mediation of government incentives (GI) among firms. Data was collected through a structured-questionnaire-based survey among financial institutions (banks, insurance, and financial companies) in Pakistan, Malaysia, and China. The study collected data via structured questionnaires in an online survey and analysed the data using partial least squares structural equation modelling (PLS-SEM), to find results. The results revealed that CEI has a two-way relationship with the DS among firms in the defined context. Furthermore, the results confirmed the dual mediating role of GI between CEI and DS among firms. The outcomes can guide the policy makers to focus on the practices of CEI in the settings of the relevant state support schemes, to enhance the practices of DS among firms in emerging markets. The implications of the study are presented at the end of this study.
Study on the Evaluation of the Development Efficiency of Smart Mine Construction and the Influencing Factors Based on the US-SBM Model
Authors: Tao Mei , Lv Shanshan , Feng Shiqian
Published: March 2023

Taking the panel data of 13 provinces (autonomous regions and municipalities directly under the central government) in Shanxi and Xinjiang from 2011 to 2020 as the research object, we establish an evaluation index system for assessing smart mine construction development efficiency combined with the global reference method. The non-desired output super-efficiency slacks-based measure and the kernel density model were used to measure the development efficiency of smart mine construction and spatial structure evolution characteristics. This study explores the internal and external factors affecting the efficiency in various regions using the Tobit regression model. After conducting the analysis, the study obtained four main findings: (1) the development efficiency is influenced by the level of technology, and the overall level is low; (2) there are spatially heterogeneous and agglomerative characteristics, with large differences in regional distribution; (3) personnel is the main factor causing the phenomenon of severe redundancy in the region; and (4) the level of regional economic development, industrial structure, and the degree of government intervention are the main external factors that have a positive impact.
Greening the Way Forward: A Qualitative Assessment of Green Technology Integration and Prospects in a Chinese Technical and Vocational Institute
Authors: Li Hui , Khattak Shoukat , Lu Xiaoqian , Khan Anwar
Published: March 2023

In an era of rapid change and sustainable development, reform of technical and vocational education and training (TVET) systems worldwide is essential. Integrating green technologies into TVET is key to training a competent workforce in this field. This study aims to determine the extent of faculty knowledge, attitudes, and practices towards green technology to better integrate green technology into future labor. Sixteen faculty from a public technical and vocational institute in China were interviewed, and the contents were analyzed with NVIVO 11 software. However, our research reveals a daunting challenge: 68% of vocational education teachers lack the necessary knowledge and understanding of green technologies. Despite this, the attitudes of these teachers toward integrating green technology into education vary widely, ranging from education about environmental protection to education about green production to education about good green habits. The majority of faculty recognize the need for green technology education due to governmental requirements, industry transformation, improving student employability, and creating environmentally friendly citizens. Unfortunately, faculty commitment to green technologies remains low. A few faculty members have integrated green technologies into their teaching, but research in this area remains limited, primarily due to heavy workloads, course and program irrelevance, lack of college support, and lack of industry demand. To address this problem, faculty members have proposed embedding green technology education into the talent development system rather than treating it as a stand-alone course. They also emphasize the need for closer collaboration with the industry to improve green technology education. This study serves as a foundation for understanding the current state of green technology in vocational education and a pathway for its improvement.
On the Effectiveness of Rotary Degassing of Recycled Al-Si Alloy Melts: The Effect on Melt Quality and Energy Consumption for Melt Preparation
Authors: Bogdanoff Toni , Tiryakioğlu Murat , Liljenfors Tomas , Jarfors Anders E. W. , Seifeddine Salem , Ghassemali Ehsan
Published: March 2023

The effectiveness of rotary degassing on the defect formation and mechanical properties of the final casting of aluminium alloy EN AC 46000 was investigated, along with its impact on the energy consumption in the casting furnace. In the melt preparation prior to casting, the molten metal is usually transported from the melting furnace to the casting furnace with rotary degassing as a cleaning procedure. Under the conditions of this specific study, negligible degradation was observed in the mechanical properties of the final cast component in an aluminium EN AC 46000 alloy after removing the rotary degassing step in the process. Furthermore, removing the rotary degassing step led to a reduced temperature drop in the melt, thus minimizing the need for reheating (energy consumption) by up to 75% in the casting furnace. The reduced energy consumption was up to 124,000 kWh in yearly production in a 1500 kg casting furnace. The environmental impact showed a ~1500 kg reduction in CO2 for one 1500 kg electrical casting furnace in a year.
The Social Perception of Autonomous Delivery Vehicles Based on the Stereotype Content Model
Authors: Pröbster Monika , Marsden Nicola
Published: March 2023

Innovations like autonomous delivery vehicles (ADV) have the potential to transform last-mile delivery to make it more sustainable and human-centered. Yet only if these technologies are socially acceptable can they live up to their potential. Using the Stereotype Content Model (SCM), we assessed how different social groups were perceived when they used autonomous delivery vehicles. Based on the two dimensions of the SCM, warmth and competence, we found combinations of group stereotypes and use of ADV that impact social acceptability, and we identified systematic effects of gender and vehicle usage on social acceptability. Our results highlight the importance of social perception for the acceptance of autonomous vehicles and the relevance of the intersections of gender, vehicle usage, and social group for an accurate and comprehensive evaluation of the social acceptability of autonomous delivery vehicles.
How to Foster Sustainable Behaviors through Multi-Campaigns Rewarding Mechanisms: The AIR-BREAK Experience
Authors: Bucchiarone Antonio , Bassanelli Simone , Marconi Annapaola
Published: March 2023

The primary objective of the AIR-BREAK mobility campaigns is to disseminate information to the general public and increase their awareness of the sustainable mobility services available. This is intended to promote the adoption of alternative, more environmentally friendly, mobility practices. Due to human heterogeneity, different individuals are motivated by different factors and for this reason the effect of intrinsic and extrinsic rewards vary from subject to subject. Depending on the citizen’s personality and preferences, specific rewarding mechanisms can have different impacts in terms of behavior change. The goal of this article is to report the rewarding mechanisms developed in the context of the project to raise citizens’ awareness, encourage participation, break bad habits and promote behaviour change towards more sustainable lifestyles. It also presents an analysis assessing the impact of the implemented rewarding systems to evaluate their real influence on eco-sustainable behaviors. The results indicate that every campaign successfully achieved its objective of modifying user behavior. Furthermore, the implementation of incentivizing mechanisms proved to be a pivotal factor in attaining this goal, exerting an impact on both the experienced fun and the behavioral outcome.
The Local Food Paradox: A Second Study of Local Food Affordability in Canada
Authors: Charlebois Sylvain , Ducharme Marie-Ève , Morrison Mélanie , Vézeau Janèle , Taylor Stacey
Published: March 2023

The price of food has been affected in recent months in response to events such as the war in Ukraine, energy costs, inflation, the COVID-19 pandemic, and climate change. Indeed, supply problems, as well as the repercussions of global issues, have had an impact on grocery bills. Just between September and October 2022, the price of food increased by 11.4% and 11% year-to-year. In addition, with the pandemic, buying locally has become a key factor for some in choosing which products to consume. This second edition of the report aims to answer the question Does eating local in Quebec cost more? More precisely, our objective was to identify if local products in the food sector, especially in Quebec, were competitive in their price points compared to foods coming from other regions of the world. To answer this, we used AI and machine learning to harvest data from 99 local products and 335 comparable nonlocal products, totaling 198,990 data points and 3745 prices across six data collection dates. The results showed that a total of 25 categories displayed an advantage for the local product or a neutrality, out of a total of 45 categories identified. Our results demonstrated that 55.6% of the categories that contained the local foods analyzed were price competitive with comparable products or less expensive than them.
Genetic Variability for Iron, Zinc, and Protein Content in a Mediterranean Lentil Collection Grown under No-Till Conditions: Towards Biofortification under Conservation Agriculture
Authors: Aboutayeb Rachid , Baidani Aziz , Zeroual Abdelmonim , Benbrahim Nadia , Aissaoui Abdellah El , Ouhemi Hanane , Houasli Chafika , Mazzucotelli Elisabetta , Gadaleta Agata , Idrissi Omar
Published: March 2023

Biofortification is a promising and sustainable way to improve lentil nutritional value. No-till is an eco-friendly agricultural practice for sustainable agricultural production under climate change conditions. The objective of this study was to evaluate the genetic variation of lentil grain quality traits under no-till and conventional tillage systems, and to investigate the significance of tillage and genotype by tillage interaction. A Mediterranean lentil collection of 120 accessions, including landraces, advanced breeding lines, local varieties, and improved varieties was assessed for protein, iron, and zinc genetic variability under no-till and conventional tillage systems. Under no-till, substantial genetic variation for protein (19–32%), iron (17–184 mg/kg), and zinc (9–48 mg/kg) was observed, indicating the possibility of lentil biofortification under conservation agriculture. Significant effects of tillage system and genotype by tillage interaction were observed for protein and iron contents. Furthermore, significant effect of tillage system on zinc content was recorded. No-till yielded slightly higher protein and zinc content than conventional tillage. Overall, the results indicated that shifting lentil production from a conventional tillage system to a no-till system would be of interest to increase lentil nutritional value.
Study on the Prediction of the Uniaxial Compressive Strength of Rock Based on the SSA-XGBoost Model
Authors: Xu Bing , Tan Youcheng , Sun Weibang , Ma Tianxing , Liu Hengyu , Wang Daguo
Published: March 2023

The uniaxial compressive strength of rock is one of the important parameters characterizing the properties of rock masses in geotechnical engineering. To quickly and accurately predict the uniaxial compressive strength of rock, a new SSA-XGBoost optimizer prediction model was produced to predict the uniaxial compressive strength of 290 rock samples. With four parameters, namely, porosity (n,%), Schmidt rebound number (Rn), longitudinal wave velocity (Vp, m/s), and point load strength (Is(50), MPa) as input variables and uniaxial compressive strength (UCS, MPa) as the output variables, a prediction model of uniaxial compressive strength was built based on the SSA-XGBoost model. To verify the effectiveness of the SSA-XGBoost model, empirical formulas, XGBoost, SVM, RF, BPNN, KNN, PLSR, and other models were also established and compared with the SSA-XGBoost model. All models were evaluated using the root mean square error (RMSE), correlation coefficient (R2), mean absolute error (MAE), and variance interpretation (VAF). The results calculated by the SSA-XGBoost model (R2 = 0.84, RMSE = 19.85, MAE = 14.79, and VAF = 81.36), are the best among all prediction models. Therefore, the SSA-XGBoost model is the best model to predict the uniaxial compressive strength of rock, for the dataset tested.
Changes in Microbial and Metabolic Pathways of Solidifying Manganese and Removing Nitrogen from Electrolytic Manganese Residue by the Sulfate-Reducing Bacteria
Authors: Ma Guoying , Lv Ying , Yan Xiao , Liu Xingyu , Zhu Xuezhe , Zhang Mingjiang
Published: March 2023

Electrolytic manganese residue (EMR) contains a large number of soluble manganese ions and ammonia nitrogen, which seriously endangers the surrounding environment. Solidifying manganese and removing nitrogen has become the primary method for controlling EMR. In this study, an EMR stacking yard in Guangxi was used as a study site to study the solidification of soluble manganese ions and the removal of ammonia nitrogen by mixed bacteria under natural conditions. Further, Illumina MiSeq high-throughput sequencing technology was used to analyze the difference in microbial community structure and function. The results showed that the solidification rate of soluble manganese ions in the remediation area reached more than 99%, and the removal effect of ammonia nitrogen in EMR was obvious. The mechanism showed that manganese in EMR was solidified into MnS. High-throughput sequencing results showed that the abundance of sulfate-reducing bacteria in the remediation area was significantly higher than that in the control area. The functional groups predicted by the FAPROTAX database showed the functional groups related to N and S reduction increased significantly in the remediation area, while the functional groups related to N and S oxidation decreased. Microorganisms in the remediation area promoted the circulation of N and S elements, and the vegetation on the surface of the residue field in the remediation area was also restored.
“Low-Hanging Fruits” against Food Waste and Their Status Quo in the Food Processing Industry
Authors: Rösler Florian , Kreyenschmidt Judith , Ritter Guido
Published: March 2023

Food processing companies have a financial interest in saving resources. However, they have different perceptions of the relevance of the issue of food waste. Hence, companies deal with the topic of waste in different ways. Some companies do implement measures systematically, others do not. The aim of this study is to analyze which recommendations against food loss and waste are effective, easy to implement, and are already part of the status quo in the food processing industry. For this purpose, based on the results of a previous exploratory study, a standardized questionnaire was developed and sent to food processing companies. From the 82 participating companies, 19 of 53 recommendations were classified as basic recommendations and 22 of the 53 recommendations were classified as ‘low-hanging fruits’. The results showed that companies rated the recommendations that were best implemented as very effective and easy to implement. Moreover, the results showed that the food processing industry’s strength in preventing food waste relate to the internal processes. However, at the borders of the value chain, there are still deficits in terms of exchange and communication with other stakeholders.
M6A-BERT-Stacking: A Tissue-Specific Predictor for Identifying RNA N6-Methyladenosine Sites Based on BERT and Stacking Strategy
Authors: Li Qianyue , Cheng Xin , Song Chen , Liu Taigang
Published: March 2023

As the most abundant RNA methylation modification, N6-methyladenosine (m6A) could regulate asymmetric and symmetric division of hematopoietic stem cells and play an important role in various diseases. Therefore, the precise identification of m6A sites around the genomes of different species is a critical step to further revealing their biological functions and influence on these diseases. However, the traditional wet-lab experimental methods for identifying m6A sites are often laborious and expensive. In this study, we proposed an ensemble deep learning model called m6A-BERT-Stacking, a powerful predictor for the detection of m6A sites in various tissues of three species. First, we utilized two encoding methods, i.e., di ribonucleotide index of RNA (DiNUCindex_RNA) and k-mer word segmentation, to extract RNA sequence features. Second, two encoding matrices together with the original sequences were respectively input into three different deep learning models in parallel to train three sub-models, namely residual networks with convolutional block attention module (Resnet-CBAM), bidirectional long short-term memory with attention (BiLSTM-Attention), and pre-trained bidirectional encoder representations from transformers model for DNA-language (DNABERT). Finally, the outputs of all sub-models were ensembled based on the stacking strategy to obtain the final prediction of m6A sites through the fully connected layer. The experimental results demonstrated that m6A-BERT-Stacking outperformed most of the existing methods based on the same independent datasets.
Effects of Dipole-Dipole Interaction and Time-Dependent Coupling on the Evolution of Entanglement and Quantum Coherence for Superconducting Qubits in a Nonlinear Field System
Authors: Berrada Kamal , Algarni Mariam , Marin Marin , Abdel-Khalek Sayed
Published: March 2023

We examine the temporal comportment of formation entanglement and quantum coherence in a quantum system made up of two superconducting charge qubits (SC-Qs), in the case of two different classes of nonlinear field. The results discussed the impact role of time-dependent coupling (T-DC) and dipole-dipole interaction (D-DI) on the temporal comportment of quantum coherence and entanglement in the ordinary and nonlinear field. In addition, we show that the main parameters of the quantum model affect the entanglement of formation and the coherence of the system in a similar way.
On s-Convexity of Dual Simpson Type Integral Inequalities
Authors: Chiheb Tarek , Boulares Hamid , Imsatfia Moheddine , Meftah Badreddine , Moumen Abdelkader
Published: March 2023

Integral inequalities are a powerful tool for estimating errors of quadrature formulas. In this study, some symmetric dual Simpson type integral inequalities for the classes of s-convex, bounded and Lipschitzian functions are proposed. The obtained results are based on a new identity and the use of some standard techniques such as Hölder as well as power mean inequalities. We give at the end some applications to the estimation of quadrature rules and to particular means.
COVID-19 Burden in Long-Term Care Facilities in the Omicron Era: Public Health Action Not Yet Redundant
Authors: Krystallaki Dimitra , Kavakioti Christina-Anna , Gkova Maria , Sypsa Soultana , Tryfinopoulou Kyriaki , Gavrili Aikaterini , Dimitriou Aikaterini , Sapounas Spyridon , Paraskevis Dimitrios , Mellou Kassiani
Published: March 2023

Since the beginning of the pandemic, public health authorities have provided support to long-term care facilities (LTCFs) for the implementation of risk mitigation measures. Nevertheless, the necessity of these measures has been doubted, especially after vaccines and antiviral treatment became available. Here, we present the burden of COVID-19 infection in LTCFs during the first 9 months of 2022 across Greece. We tested the possible association of LTCF characteristics and public health response with the occurrence of clusters (two or more linked cases in LTCFs) with facilities recording one case as reference. After excluding LTCFs with sporadic cases, we tested the effect of the abovementioned variables on attack rate (cases/total number of persons in the LTCF). The disease burden in LTCFs was high and substantially varied among facilities, with hospitalization and case fatality rates ranging from 2 to 80% (median 14%, IQR 27%) and from 1 to 50% (median 5%, IQR 7%), respectively. The probability of transmission inside the facility increased when notification of public health authorities was delayed (p-Value < 0.001) after adjusting for vaccination status and phase of the pandemic. Results showed that active support from public health authorities is still important in reducing the burden in LTCFs.
Online Control of the Raw Water System of a High-Sediment River Based on Deep Reinforcement Learning
Authors: Li Zhaomin , Bai Lu , Tian Wenchong , Yan Hexiang , Hu Wanting , Xin Kunlun , Tao Tao
Published: March 2023

Water supply systems that use rivers with high sedimentation levels may experience issues such as reservoir siltation. The suspended sediment concentration (SSC) of rivers experiences interannual variation and high nonlinearity due to its close relationship with meteorological factors, which increase the mismatch between the river water source and urban water demand. The raw water system scheduling problem is expressed as a reservoir and pump station control problem that involves real-time SSC changes. To lower the SSC of the water intake and lower the pumping station’s energy consumption, a deep reinforcement learning (DRL) model based on SSC prediction was developed. The framework consists of a DRL model, a hydraulic model for simulating the raw water system, and a neural network for predicting river SSC. The framework was tested using data from a Yellow River water withdrawal pumping station in China with an average capacity of 400,000 m3/d. The strategy created in this study can reduce the system energy consumption per unit of water withdrawal by 8.33% and the average annual water withdrawal SSC by 37.01%, when compared to manual strategy. Meanwhile, the deep reinforcement learning algorithm had good response robustness to uncertain imperfect predictive data.
Mirusiųjų deginimo papročio plitimas rytų Lietuvoje: naujas chronologinis modelis, paremtas radiokarboninio datavimo duomenimis
Authors: Kurila Laurynas
Published: March 2023

The article discusses the model of the spread of cremation in the East Lithuanian barrow culture based on the data of radiocarbon dating. It proposes a review of the model established in literature that a wave of cremation spread from the south of the region to the north between the late 4th century AD and of the early 6th century AD. The stage of the earliest cremations can be dated to 248–335 cal AD, and the stage of the latest inhumations to 420–556 cal AD. This suggests that both inhumation and cremation were practised in Eastern Lithuania for about two centuries from the Late Roman period to the Late Migration period. The hypothesis that the practice of cremation spread from south to north is being corrected rather than refuted. While this process was quite sudden, it was due to the spread of a new tradition alongside the old rather than a wave of change regarding burial rites. Cremation spread early (c. 250–400 cal AD) in the northern part of the region and was an established practice alongside inhumation. The practice of cremation probably became prevalent earlier in Southeastern Lithuania. These processes are synchronous with the emergence of the horizon of the burials of chieftains and warriors in Eastern Lithuania, but the determination of an earlier date for this horizon provides grounds for new discussions about its historical, cultural, and social background.
Traces of Christian Cultural Influences in Pagan Vilnius: the Cemetery on Bokšto Street
Authors: Jonaitis Rytis , Kaplūnaitė Irma
Published: March 2023

Lithuania was the country to remain pagan longest in Europe, but it was not isolated from the rest of Europe. Although the locals in the late 13th – late 14th centuries were still mostly pagans, Lithuania’s grand dukes appreciated the benefits of Christian immigrants. These Christians brought not only their religion, but also a knowledge of crafts, their culture, and their own traditions. Although Christians, both Catholic and Orthodox, mainly wished to settle in Lithuania for economic reasons rather than from a desire to Christianise it, their presence in pagan Vilnius left traces, one of which, visible archaeologically, is the inhumation cemetery on Bokšto Street, where Orthodox Christians began to bury their dead in the last decades of the 13th century. By supplementing the historical context with this cemetery’s material, it is possible to talk about how the Orthodox community influenced the city’s urban landscape, burial traditions, and crafts.
The Historical and Cultural Heritage of the Grand Duchy of Lithuania in the South of Ukraine: Tyahin Fortress
Authors: Biliaieva Svitlana , Bimbirayte Natalia Danute
Published: March 2023

The article is devoted to the results of the research of the fortress Tyagin, built by the Lithuanian Grand Duke Vytautas on the territory of the island Bolshoye Gorodishche in the late 14th to early 15th century. The archaeological materials provided valuable information about the syncretism of the complex of monuments on the island, the typology, layout and size of the fortress. It was one of the earliest stone castle-type fortresses on the northern Black Sea coast, a part of the defensive line of the southern borders of the Grand Duchy of Lithuania. The fortress’ defensive system included a synthesis of defensive architectural elements, ranging from timber-engineered structures known from Old Russian times to stone walls and buttresses of a new level of fortification in Europe. The fortress was armed with artillery and edged weapons, the main type being crossbows, which were widespread in Lithuania. The fortress of Tyagin was situated at the crossroads of trade routes between the East and the West, at the crossroads of the custom. The artifacts testify to the presence of Lithuanian cultural objects, Genoese influence, contact with Crimea, and trade and economic relations with Poland. The monument is an integral part of the cultural heritage of Lithuania and Ukraine.
The Earliest Finds of Panathenaic Prize Amphorae in Olbia Pontica
Authors: Buiskikh Alla Valeriivna , Khmelevskiy Dmytro Mykolayovych
Published: March 2023

The main goal of this paper is to publish two fragments of Panathenaic prize amphorae that have been excavated in the northern part of the Roman citadel in Olbia Pontica. Stylistic analysis of both fragments allowed us to date them to the last third of the 6th century BC and to draw the conclusion that they belong to the same amphora manufactured at the time of the Antimenes Painter.
Considerações atuais sobre o uso dos cigarros eletrônicos relacionados às doenças periodontais: revisão da literatura
Authors: Martins Pabline Rodrigues , Teixeira Neto Olegário Antônio , Freitas Isadora Cardoso , Pereira Cláudio Maranhão , Falcão Isadora Peixoto , Susin Daniela , Jardim Natália Margon
Published: March 2023

As doenças periodontais, gengivite e periodontite, são multifatoriais e muitas vezes imperceptíveis aos pacientes e cirurgiões-dentistas. O tabagismo é reconhecido como um importante fator de risco para o desenvolvimento dessas doenças interferindo diretamente no mecanismo inflamatório básico assim dificultando o diagnóstico. Esses dispositivos eletrônicos, foram introduzidos no mercado como alternativa para o cigarro tradicional, mas tornaram-se populares entre os jovens por serem aromatizados, atraentes e a falsa percepção de efeitos negativos à saúde. A atividade de cigarros eletrônicos vem sendo promovida como uma alternativa mais saudável, contudo não deve ser confundida com inofensivo. A literatura aponta que os agentes aromatizantes dos cigarros eletrônicos podem ter efeitos adversos semelhantes aos produtos do tabaco e que, assim como o tabagismo, aumentam as chances de riscos à periodontite, além de causar alterações pulmonares e cardiovasculares. Os pacientes fumantes de cigarros tradicionais e eletrônicos respondem menos favoravelmente ao tratamento periodontal não cirúrgico quando comparados aos não fumantes.
Discussões recentes sobre a importância do filtro solar na prevenção do Câncer de Pele: revisão integrativa
Authors: Granato Adrielle Pereira , Lima Caroline Silva de Araujo , De Oliveira Márcia Farsura
Published: March 2023

O presente estudo objetivou abordar as recentes pesquisas na literatura sobre importância da fotoproteção e na prevenção do câncer de pele. Para isso, foi feita uma revisão integrativa, usando como critério a busca nas bases de dados científicos Acervo+ e LILACS, utilizando-se os descritores “raios ultravioleta”, “envelhecimento da pele”, “protetores solares”, “neoplasias cutâneas”. A pesquisa identificou que alterações oxidativas no DNA e efeitos imunossupressores dos raios solares UVA auxiliam no crescimento do câncer de pele e que a apresentação crônica da radiação UVB em pequenas doses, podem apresentar uma predisposição para o desenvolvimento da carcinogênese, sendo o uso adequado de filtro solar uma forma efetiva de prevenção de neoplasia dermatológica. Conclui-se, que o protetor solar é de suma importância para a saúde da pele, sendo esse um aliado contra inúmeras enfermidades, principalmente o câncer de pele.
Benefícios da erva mate chegam aos cosméticos
Authors: Freddo Natália , Beux Mariana Tortelli , Anziliero Eduarda Bassi , Peruffo Regina Guglielmin , Borges Alessa da Silva , Ribeiro Julia Dall’Agnol
Published: March 2023

A erva-mate, de nome científico Ilex Paraguariensis, é de uso comum no sul do Brasil e na Argentina, popularizada pelo “chimarrão” e caracterizada pelo seu efeito antioxidante. Além disso é amplamente utilizada no meio alimentício e farmacêutico. O objetivo do estudo foi realizar uma revisão sistemática da literatura sobre as aplicações da erva-mate na área da saúde como fitocosmético e seu uso na formulação de preparações cosméticas. Buscaram-se artigos nas bases de dados Scientific Electronic Library Online (SCIELO), National Library of Medicine (PUBMED), Science Direct e Google Acadêmico. A revisão foi restrita a estudos sobre a atividade biológica e ação farmacológica da planta Ilex paraguariensis em relação à sua possível utilização em cosméticos e protocolos estéticos.
O impacto de ações coordenadas por equipe multidisciplinar na adesão ao tratamento cardiológico ambulatorial
Authors: Sturzeneker Mário Cláudio Soares , Dlugosz Ana Carla , Parlow Jaqueline Meert , Sakakibara Amy , Fonseca Mariana , Koscianski Alice Magro , Baroni Gilberto , Mansani Fabiana Postiglione
Published: March 2023

Introdução: A decisão terapêutica deve ser um processo ativo entre a equipe de saúde e paciente. Os benefícios da adesão ao tratamento são amplamente conhecidos, no entanto, a adesão é um desafio descrito desde a década de 1970. Tal cenário reflete no aumento de morbimortalidade das afecções cardiológicas. O presente estudo baseia-se em ações coordenadas por equipe multidisciplinar, constituída por membros do serviço de farmácia, de assistência social e de cardiologia, visando identificar e solucionar os fatores que podem influenciar na adesão ao tratamento médico cardiológico ambulatorial e avaliar o impacto dessas ações nesse processo. Métodos: Estudo longitudinal que incluiu 15 pacientes atendidos no ambulatório de cardiologia do Hospital Regional dos Campos Gerais, realizado de maio a dezembro de 2022. Em um primeiro momento, os pacientes eram atendidos na consulta cardiológica convencional e, após, eram direcionados ao consultório multidisciplinar. O estudo avaliou variáveis sociodemográficas, clínicas e analisou o estilo de vida, qualidade de vida e a adesão à terapêutica por meio de questionários validados. Após um período, que variou de 5 a 7 meses, os pacientes foram reavaliados e submetidos, novamente, aos questionários. Resultados: Após a intervenção multidisciplinar, houve melhora, principalmente, dos parâmetros de adesão à terapia farmacológica, redução do número de sedentários, aumento da qualidade de vida e menor dependência nicotínica entre os fumantes. Não houve alteração dos perfis relacionados ao tabagismo e etilismo e pouca alteração associadas à mudança do regime terapêutico (número de medicações utilizadas diariamente). Conclusão: A abordagem multidisciplinar no contexto cardiológico promove melhora dos parâmetros de adesão terapêutica e de estilo de vida dos pacientes, dessa forma, impacta positivamente na qualidade de vida dos cardiopatas.
Fatores de risco da cirurgia bariátrica: uma revisão sistemática
Authors: De Melo Heloise Modolo , Brito Gustavo Suzano Coelho , Manhães Lara Moser Martins , Malaquias Jeanne Aparecida , Tófani Rejane Gomes Pereira , Cunha Vinicius Balbino Lago , Moreira Stephanie Figueiredo de Barros , De Sales Jully Venâncio Sampaio , Sousa Daniela de Melo , Baptista Lara Zaneti Teixeira , Dantas Antonio Tito de Araujo , De Castro Onassis Boeri , Schmitt Natália Murad
Published: March 2023

A cirurgia bariátrica é um tipo de cirurgia realizada com o objetivo de ajudar as pessoas a perderem peso. É indicado para pessoas com obesidade grave e que não conseguem perder peso com dieta e exercício. A cirurgia bariátrica é um tratamento complexo que requer mudanças na dieta e estilo de vida, e que seus resultados variam de pessoa para pessoa. Apesar de ser observada como segura a cirurgia bariátrica, tem-se a preocupação sobre a possibilidade eventos adversos pós-operatórios graves. Este estudo teve como objetivo refletir sobre fatores de risco da cirurgia bariátrica. Nessa perspectiva, foi desenvolvida uma revisão sistemática, cujas bases de dados foram a Literatura Latino-americana e do Caribe em Ciências da Saúde (Lilacs) e a Medical Literature Analysis and Retrieval System Online (Medline). Realizando-se análise qualitativa dos resultados, concluiu-se que fatores de risco são múltiplos, tais como volume gástrico após manga, ansiedade, consumo de doces, alimentação emocional, compulsão alimentar, perda de controle/desinibição ao comer e genética. Destaca-se, com a rápida perda de peso no pós-operatório, o risco remoto de complicações biliares pós-operatórias, o qual resultar em morbidade ou demandar reoperação, reintervenção ou readmissão.