bluuebunny/crossref_metadata_2025 huggingface dataset:
Geometric Approach for Inverse Kinematics of the FANUC CRX Collaborative Robot
Authors: Abbes Manel , Poisson Gérard
Published: June 2024

Because they are safe and easy to use, collaborative robots are revolutionizing many sectors, including industry, medicine, and agriculture. Controlling their dynamics, movements, and postures are key points in this evolution. Inverse kinematics is then crucial for robot motion planning. In 6R serial robots, achieving a desired pose is possible with different joint combinations. In this paper, our focus lies in studying forward and, mainly, inverse kinematics of the FANUC CRX-10iA cobot, a 6R cobotic arm with a non-spherical wrist. Its specific structural parameters implies that no analytical solutions exist except for some particular situations. FANUC does not provide the complete set of inverse kinematic solutions, even when 16 solutions are possible, only 8 of them are provided in Roboguide software. Furthermore, the existing literature on joints-to-workspace mapping for CRX cobots is currently very limited. It either lacks or provides partial or inconsistent inverse kinematics analysis. We present and detail a novel fully geometric method for numerically solving inverse kinematics meeting the requirement of high precision and a fast response. This approach provides both the exact number of inverse kinematics solutions and the sets of joint angles even for singular configuration. Its effectiveness was verified through simulations using the Roboguide Software and experimentation on the actual CRX-10iA cobot. Several examples (8, 12, or 16 inverse kinematic solutions) have enabled us to validate and prove the robustness and reliability of this geometric approach.
The Physiology of Betula glandusa on Two Sunny Summer Days in the Arctic and Linkages with Optical Imagery
Authors: Proctor Cameron , Leu Nam , Wang Bin
Published: June 2024

Controls on Arctic vegetation physiology have been linked to microscale (1–100 m) topography and landscape position, yet drivers may change under future climates as temperature, active-layer thickness, and nutrient limitations are removed or altered. Focusing on the cosmopolitan dwarf birch (Betula glandusa), physiological metrics were measured over two field campaigns at Trail Valley Creek, NWT, Canada, and linked to tasked and archived multispectral imagery to investigate drivers. Relative humidity was ~31.1% on 25 June 2023, and increased to 45.6% on 29 June 2023, which corresponded to heightened physiological activity of stomatal conductance and light-adapted fluorescence (gsm: 0.118 vs. 0.165 μmol m−2 s−1, Fs: 129.29 vs. 178.42). Normalized difference vegetation index of AVIRIS, Sentinel 2, and SkySat were negligibly correlated to dwarf birch physiological activity, but moderately correlated to dwarf birch height and active-layer thickness. Random forest variable importance revealed that environmental factors and field-measured active-layer thickness ranked higher than remote sensing metrics in explaining physiological activity regardless of the field campaign. Overall, these findings suggest that microscale variation can influence dwarf birch physiological activity, yet microscale effects are overwritten by environmental conditions that may hinder fine-scale space-based monitoring of Arctic vegetation physiological dynamics.
Validation of Multisource Altimeter SWH Measurements for Climate Data Analysis in China’s Offshore Waters
Authors: Xu Jingwei , Wu Huanping , Zhi Xiefei , Koldunov Nikolay V. , Zhang Xiuzhi , Xu Ying , Zhang Yangyang , Guo Maohua , Kong Lisha , Fraedrich Klaus
Published: June 2024

Climate data derived from long-term, multisource altimeter significant wave height (SWH) measurements are more valuable than those obtained from a single altimeter source. Such data facilitate exploration of long-term air–sea momentum transfer and more comprehensive investigation of weather system dynamics processes over the ocean. Despite the deployment of the first satellite in the Chinese Haiyang-2 (HY-2) series more than 12 years ago, validation and integration of SWH data from China’s offshore waters, derived using Chinese altimeters, have been limited. This study constructed a high-resolution, long-term, multisource gridded SWH climate dataset using along-track data from the HY-2 series, CFOSAT, Jason-2, Jason-3, and Cryosat-2 altimeters. Validation against observations from 31 buoys covering China’s offshore waters indicated that the SWH variances from HY-2A, HY-2B, HY-2C, CFOSAT, and Jason-3 altimeters correlated well with observations, with a temporal correlation coefficient of approximately 0.95 (except HY-2A, correlation: 0.89). These SWH measurements generally showed a robust linear relationship with the buoy data. Additionally, cross-calibration between Jason-3 and the HY-2A, HY-2B, HY-2C, and CFOSAT altimeters also demonstrated a typically linear relationship for SWH > 6.0 m. Using this relationship, the SWH data were linearly corrected and integrated into a 10 d mean, long-term, multisource altimeter gridded SWH dataset. Compared with in situ observations, the merged 10 d mean SWHs are more accurate and closely match the observations, with temporal correlation coefficients improving from 0.87 to 0.90 and bias decreasing from 0.28 to 0.03 m. The merged gridded SWHs effectively represent the local spatial distribution of SWH. This study revealed the importance of observational data in the process of merging and recalibrating long-term multisource altimeter SWH datasets, particularly before their application in specific ocean regions.
Modal Parameter Recursive Estimation of Concrete Arch Dams under Seismic Loading Using an Adaptive Recursive Subspace Method
Authors: Zhu Xinyi , Qiu Jianchun , Xu Yanxin , Chen Xingqiao , Xu Pengcheng , Wu Xin , Guo Shaolong , Zhao Jicheng , Lin Jiale
Published: June 2024

Modal parameter estimation is crucial in vibration-based damage detection and deserves increased attention and investigation. Concrete arch dams are prone to damage during severe seismic events, leading to alterations in their structural dynamic characteristics and modal parameters, which exhibit specific time-varying properties. This highlights the significance of investigating the evolution of their modal parameters and ensuring their accurate identification. To effectively accomplish the recursive estimation of modal parameters for arch dams, an adaptive recursive subspace (ARS) method with variable forgetting factors was proposed in this study. In the ARS method, the variable forgetting factors were adaptively updated by assessing the change rate of the spatial Euclidean distance of adjacent modal frequency identification values. A numerical simulation of a concrete arch dam under seismic loading was conducted by using ABAQUS software, in which a concrete damaged plasticity (CDP) model was used to simulate the dam body’s constitutive relation, allowing for the assessment of damage development under seismic loading. Utilizing the dynamic responses obtained from the numerical simulation, the ARS method was implemented for the modal parameter recursive estimation of the arch dam. The identification results revealed a decreasing trend in the frequencies of the four initial modes of the arch dam: from an undamaged state characterized by frequencies of 0.910, 1.166, 1.871, and 2.161 Hz to values of 0.895, 1.134, 1.842, and 2.134 Hz, respectively. Concurrently, increases in the damping ratios of these modes were observed, transitioning from 4.44%, 4.28%, 5.42%, and 5.56% to 4.98%, 4.91%, 6.61%, and 6.85%%, respectively. The correlation of the identification results with damage progression validated the effectiveness of the ARS method. This study’s outcomes have substantial theoretical and practical importance, facilitating the immediate comprehension of the dynamic characteristics and operational states of concrete arch dam structures.
Multiscale Bayes Adaptive Threshold Wavelet Transform Geomagnetic Basemap Denoising Taking Residual Constraints into Account
Authors: Xiong Pan , Bian Gang , Liu Qiang , Jin Shaohua , Yin Xiaodong
Published: June 2024

To achieve high-precision geomagnetic matching navigation, a reliable geomagnetic anomaly basemap is essential. However, the accuracy of the geomagnetic anomaly basemap is often compromised by noise data that are inherent in the process of data acquisition and integration of multiple data sources. In order to address this challenge, a denoising approach utilizing an improved multiscale wavelet transform is proposed. The denoising process involves the iterative multiscale wavelet transform, which leverages the structural characteristics of the geomagnetic anomaly basemap to extract statistical information on model residuals. This information serves as the a priori knowledge for determining the Bayes estimation threshold necessary for obtaining an optimal wavelet threshold. Additionally, the entropy method is employed to integrate three commonly used evaluation indexes—the signal-to-noise ratio, root mean square (RMS), and smoothing degree. A fusion model of soft and hard threshold functions is devised to mitigate the inherent drawbacks of a single threshold function. During denoising, the Elastic Net regular term is introduced to enhance the accuracy and stability of the denoising results. To validate the proposed method, denoising experiments are conducted using simulation data from a sphere magnetic anomaly model and measured data from a Pacific Ocean sea area. The denoising performance of the proposed method is compared with Gaussian filter, mean filter, and soft and hard threshold wavelet transform algorithms. The experimental results, both for the simulated and measured data, demonstrate that the proposed method excels in denoising effectiveness; maintaining high accuracy; preserving image details while effectively removing noise; and optimizing the signal-to-noise ratio, structural similarity, root mean square error, and smoothing degree of the denoised image.
Enhancing Autonomous Vehicle Decision-Making at Intersections in Mixed-Autonomy Traffic: A Comparative Study Using an Explainable Classifier
Authors: Ziraldo Erika , Govers Megan Emily , Oliver Michele
Published: June 2024

The transition to fully autonomous roadways will include a long period of mixed-autonomy traffic. Mixed-autonomy roadways pose a challenge for autonomous vehicles (AVs) which use conservative driving behaviours to safely negotiate complex scenarios. This can lead to congestion and collisions with human drivers who are accustomed to more confident driving styles. In this work, an explainable multi-variate time series classifier, Time Series Forest (TSF), is compared to two state-of-the-art models in a priority-taking classification task. Responses to left-turning hazards at signalized and stop-sign-controlled intersections were collected using a full-vehicle driving simulator. The dataset was comprised of a combination of AV sensor-collected and V2V (vehicle-to-vehicle) transmitted features. Each scenario forced participants to either take (“go”) or yield (“no go”) priority at the intersection. TSF performed comparably for both the signalized and sign-controlled datasets, although all classifiers performed better on the signalized dataset. The inclusion of V2V data led to a slight increase in accuracy for all models and a substantial increase in the true positive rate of the stop-sign-controlled models. Additionally, incorporating the V2V data resulted in fewer chosen features, thereby decreasing the model complexity while maintaining accuracy. Including the selected features in an AV planning model is hypothesized to reduce the need for conservative AV driving behaviour without increasing the risk of collision.
The Important Role of Denitrifying Exoelectrogens in Single-Chamber Microbial Fuel Cells after Nitrate Exposure
Authors: Jin Xiaojun , Wang Wenyi , Yan Zhuo , Xu Dake
Published: June 2024

Wastewater treatment using microbial fuel cells (MFCs) is a potentially useful technology due to its low cost, environmental friendliness, and low sludge production. In this study, a single-chambered air cathode MFC (SCMFC) was developed and investigated regarding its performance and microbial community evolution following nitrate exposure. During long-term operation, diverse denitrifiers accumulated on the electrodes to form a denitrifying MFC (DNMFC) with stable activity for nitrate reduction. The DNMFC presented considerably higher electroactivity, stability, and denitrification rates than the SCMFC. Though energy recovery decreased in the DNMFC by partial organics utilized for heterotrophic denitrification, the electron transfer efficiency increased. Geobacter as the absolutely dominant genus in the SCMFC anode was eliminated and replaced by Azonexus and Pseudomonas in the DNMFC. Furthermore, the biomass of Pseudomonas (151.0 ng/μL) in the DNMFC cathode was five-fold higher than that in the SCMFC, although the bacterial community compositions were quite similar. The DNMFC with highly abundant Pseudomonas exhibited much better performance in terms of electrochemical activity and nitrate removal. The evolution process of functional bacteria from the SCMFC to the DNMFC comprehensively reveals the significant role of denitrifying electroactive bacteria in a bioelectrochemical system for nitrogen-containing wastewater treatment.
Assessment of Children’s Fears: Impact of Cognitive Level
Authors: Simoës-Perlant Aurélie
Published: June 2024

The aim of this study is to contribute to the debate concerning the intensity of fears in high-IQ children. Many authors have pointed out that this population presents a particular psycho-affective profile that can lead to greater anxieties and fears. One hundred and one children (normal-IQ vs. high-IQ) were subjected to an adaptation of the Fear Inventory (FSSC-R; Inventaire des peurs de l’enfant, IPE-R). The results show that fear of danger and death is significantly more intense than all other fears in children aged 5 to 12. However, the pattern of results obtained did not differ according to the cognitive abilities of the children questioned. These results are important because they challenge the preconceived ideas conveyed in the media and by many practitioners who have made giftedness their stock-in-trade. If there is indeed a difference, it may be linked not to the children’s perception of their own emotional state but rather to its behavioral manifestations, which may be more intense in high-IQ children. These results are discussed in relation to the literature, and research perspectives are proposed.
Building the Prison to Legal Drug Dealing Pipeline: A Comparative Analysis of Social Equity Policies in Recreational Cannabis Licensing
Authors: Patterson Kelly L. , Silverman Robert Mark , Rehman-Veal Ambreen , Yin Li , Wang Suiyuan
Published: June 2024

Since 2012, twenty-four states have legalized adult-use recreational cannabis. To varying degrees, state laws allow for the production, distribution, retail sale, and on-site consumption of cannabis in licensed businesses. Accompanying cannabis, some legalization has acknowledged that black and brown communities were disproportionately impacted by the war on drugs. To address this, social equity provisions have been a component of their public policies related to cannabis legalization. These provisions include measures to expunge cannabis-related criminal records and create social equity set-asides for cannabis business licenses. This paper’s research question asks if, under its current structure and implementation, recreational cannabis laws achieve social equity goals. The methods for the analysis apply content analysis to public policy documents and quantify recreational cannabis licensing outcomes. These methods were applied to a comparative analysis of social equity provisions in state and local cannabis laws applicable to large U.S. cities (2020 population > 600,000). This analysis focuses on the characteristics of set-asides for social equity licenses to sell recreational cannabis. The analysis examines the scope of social equity policies, their administration and implementation, and the characteristics of licensees. The findings from the analysis are used to identify a model policy framework and generate recommendations to strengthen social equity outcomes in recreational cannabis licensing.
Acute and Long-Term Effects of Stretching with Whole-Body Vibration on Young’s Modulus of the Soleus Muscle Measured Using Shear Wave Elastography
Authors: Miyasaka Hayato , Ebihara Bungo , Fukaya Takashi , Mutsuzaki Hirotaka
Published: June 2024

The effect of whole-body vibration (WBV) stretching on soleus (SOL) muscle stiffness remains unclear. Therefore, we aimed to investigate the acute and long-term effects of stretching with WBV on SOL muscle stiffness. This study employed a repeated-measures experimental design evaluating 20 healthy young males. SOL muscle stretching with WBV was performed for 5 min per day (1 min per set, five sets) over 4 weeks, for 4 days a week. Participants stretched the SOL muscle with ankle dorsiflexion in a loaded flexed knee position on a WBV device. Data were obtained to examine acute effects before stretching, immediately after stretching, and at 5, 10, 15, and 20 min. Moreover, data were obtained to examine the long-term effects before stretching, immediately after the completion of the 4-week stretching program, and at 2 and 4 weeks later. SOL muscle stiffness was measured using Young’s modulus with shear wave elastography. The acute effect of SOL muscle stretching with WBV persisted for up to 20 min. Additionally, the long-term effect of stretching was better maintained than the acute effect, which was effective for up to 4 weeks (p < 0.001). Clinically, continuous stretching with WBV may be used to improve SOL muscle stiffness in rehabilitation programs.
Modified Tension Band Wiring Using Only Non-Absorbable Braided Polyblend Sutures for the Treatment of Patellar Fractures
Authors: Itro Annalisa , De Cicco Annalisa , Conza Gianluca , Schiavo Luca , Garofalo Niccolò , Braile Adriano , Nappi Francesco , Toro Giuseppe
Published: June 2024

Patellar fractures represent approximately 1% of all fractures and the pattern is influenced by the quality of the bone and the energy of the trauma. Transverse fractures are associated with extensor mechanism failure and interruption of joint congruence. Patellar fractures are generally fixed using tension band principles, through K-wires and metal cerclage. The tension band was conceived to transform the considerable tensile force applied to the patella into a compressive one to obtain a stable fixation. The use of metal implants might be associated with a significant discomfort, mostly related to the irritating action of K-wires and cerclage on the surrounding soft tissues, often leading to the need for implant removal. Therefore, we introduced an original technique for fix patellar fractures by using only a non-adsorbable braided polyblend suture. Postoperative care included progressive range of motion recovery using an articulated knee brace and a specific protocol. The suture-only tension band technique seems to be a useful technique in terms of complications and reoperation rate while allowing secure and early mobilization.
Landscape Composition Matters for Mammals in Agricultural Ecosystems: A Multiscale Study in Southeastern Brazil
Authors: Pedroso Rayssa Faria , Rosa Clarissa , Passamani Marcelo
Published: June 2024

The conversion of native habitats into anthropogenic ones compromises the original composition and configuration of the landscapes, influencing ecological dynamics and affecting biodiversity. Increasingly, landscape ecology has shown that these effects can only be understood if they are accessed at adequate spatial scales, as the scale at which landscape structure is evaluated influences species responses. Here, we investigated how three variables of landscape composition (proportion of forest, coffee crop, and pasture) and two of configuration (number of fragments and mean nearest neighbor distance) interfere with the richness and composition of medium- and large-sized mammals, considering a multiscale approach. We recorded medium- and large-sized mammal species in 13 landscapes with predominant matrices of coffee and pasture in Minas Gerais, Brazil. Then, we built distance-based linear models to identify the scale of effect of each landscape variable for both response variables considering eight scales (from 250 m to 2000 m). Finally, we verified the influence of the landscape on the richness and composition of mammals, considering the landscape variables in their respective scales of effect. We found 67% of the probable species occurring in the region. The scales of effect varied among landscape variables, probably due to the fact that different variables affect different aspects of organisms’ ecological requirements. The proportion of pasture in the landscape explained the variation in species richness, while the proportion of forest explained the variation in species composition. In addition, the proportion of pasture in the landscape had a positive influence on species richness, indicating that this matrix may favor the presence of generalist species of habitat and/or this result is due to the higher concentration of species in the fragments immersed in this matrix. These results suggest that considering different responses to biodiversity is important to understand different aspects of the landscape’s influence on biodiversity. In addition, the composition of the landscape is fundamental for the perpetuation of species and, therefore, both forest cover and types of matrices in the landscape must be considered to improve species conservation strategies. Finally, generalizing a spatial scale can lead to misinterpretations about the influence of the landscape on biodiversity.
The Effect of Fuel Quality on Cavitation Phenomena in Common-Rail Diesel Injector—A Numerical Study
Authors: Kevorkijan Luka , Biluš Ignacijo , Torres-Jiménez Eloisa , Lešnik Luka
Published: June 2024

Plastic is one of the most widely used materials worldwide. The problem with plastic arises when it becomes waste, which needs to be treated. One option is to transform plastic waste into synthetic fuels, which can be used as replacements or additives for conventional fossil fuels and can contribute to more sustainable plastic waste treatment compared with landfilling and other traditional waste management processes. Thermal and catalytic pyrolysis are common processes in which synthetic fuels can be produced from plastic waste. The properties of pyrolytic oil are similar to those of fossil fuels, but different additives and plastic stabilizers can affect the quality of these synthetic fuels. The quality of fuels and the permissible particle sizes and number density are regulated by fuel standards. Particle size in fuels is also regulated by fuel filters in vehicles, which are usually designed to capture particles larger than 4 μm. Problems can arise with the number density (quantity) of particles in synthetic fuels compared to that in fossil fuels. The present work is a numerical study of how particle size and number density (quantity) influence cavitation phenomena and cavitation erosion (abrasion) in common-rail diesel injectors. The results provide more information on whether pyrolysis oil (synthetic fuel) from plastic waste can be used as a substitute for fossil fuels and whether their use can contribute to more sustainable plastic waste treatments. The results indicate that the particle size and number density slightly influence cavitation phenomena in diesel injectors and significantly influence abrasion.
Research on the Prediction of Sustainable Safety Production in Building Construction Based on Text Data
Authors: Fan Jifei , Wang Daopeng , Liu Ping , Xu Jiaming
Published: June 2024

Given the complexity and variability of modern construction projects, safety risk management has become increasingly challenging, while traditional methods exhibit deficiencies in handling complex dynamic environments, particularly those involving unstructured text data. Consequently, this study proposes a text data-based risk prediction method for building construction safety. Initially, heuristic Chinese automatic word segmentation, which incorporates mutual information, information entropy statistics, and the TF-IDF algorithm, preprocesses text data to extract risk factor keywords and construct accident attribute variables. At the same time, the Spearman correlation coefficient is utilized to eliminate the multicollinearity between feature variables. Next, the XGBoost algorithm is employed to develop a model for predicting the risks associated with safe production. Its performance is optimized through three experimental scenarios. The results indicate that the model achieves satisfactory overall performance after hyperparameter tuning, with the prediction accuracy and F1 score reaching approximately 86%. Finally, the SHAP model interpretation technique identifies critical factors influencing the safety production risk in building construction, highlighting project managers’ attention to safety, government regulation, safety design, and emergency response as critical determinants of accident severity. The main objective of this study is to minimize human intervention in risk assessment and to construct a text data-based risk prediction model for building construction safety production using the rich empirical knowledge embedded in unstructured accident text, with the aim of reducing safety production accidents and promoting the sustainable development of construction safety in the industry. This model not only enables a paradigm shift toward intelligent risk control in safety production but also provides theoretical and practical insights into decision-making and technical support in safety production.
Dynamic Prediction of Total N and P Contents in Slurry from Dairy Farms under Different Treatment Processes Using Near-Infrared Spectroscopy
Authors: Li Mengting , Sun Di , Liu Shengbo , Zhang Keqiang , Zhao Run , Yang Zengjun
Published: June 2024

Nutrient content fluctuation in dairy production slurry is highly influenced by the various treatment processes applied in the Chinese dairy sector. The dynamic measurement of these contents is critical for the practical and efficient field application of slurry subjected to various processes. In the study, a total of 715 slurry samples were collected from 24 intensive dairy farms in Tianjin subjected to three typical treatment processes. Descriptive statistical analysis, principal component analysis, and partial least square regression were used to investigate the variation in total nitrogen (TN) and total phosphorus (TP) contents, spectral characteristics, and the performance of the prediction model of the slurry under the processes, respectively. Results revealed significant differences in both TN and TP contents along with the spectra for the slurry subjected to different treatment processes. All the inter-process models showed poor performance, and the results were worse compared to the intra-process models. Among the intra-process models for TN, the optimally performing models were the Pac fusion model (R2pred = 0.82; RPD = 2.38) and the single model Pa (R2pred = 0.83; RPD = 2.31). Among the intra-process models for TP, the optimum results were seen for Pab (R2pred = 0.77; RPD = 2.07) and Pa (R2pred = 0.79; RPD = 2.30). Taking different treatment processes into consideration is essential to establish flexible models that can be adaptive for diversified scenarios. This would be helpful to improve the tracking monitor measures, efficiently guide the land application of slurry, and support the sustainable development of animal farming and environmental conversation.
Towards Sustainable Industry: A Comprehensive Review of Energy–Economy–Environment System Analysis and Future Trends
Authors: Han Fengfan , Ren Anqi , Liu Jinxin , Yu Lixingbo , Jia Fei , Hou Haochen , Liu Ying
Published: June 2024

Industry, encompassing various sectors like agriculture, manufacturing, and services, is crucial for economic growth and societal progress. However, industrial growth often comes at the cost of environmental degradation and energy resource depletion, ignoring the need for sustainable development. This study analyzed 131 articles published from 2004 to 2023, using the energy–economy–environment (3E) method to explore industrial research trends. The primary focus of industrial 3E research is on environmental impact and sustainable development, particularly related to energy consumption. This field covers various topics like systems, efficiency, optimization, and others. LCA methods and system dynamics models are commonly used in research method innovation. This study summarizes the main viewpoints of industrial 3E research and highlights future research directions and priorities, including transitions to areas like agriculture, fisheries, and renewable energy and combining evaluation and prediction methods with 3E methods, conducting large-scale system research, and examining coupling relationships within and between industrial systems.
Conventionalization of Alternative Agriculture and the Intervention of External Investors: Case Sharing Community-Supported Agriculture Farm, China
Authors: Wu Meiling
Published: June 2024

The trend of alternative farmers adopting conventional farming methods, known as conventionalization, has become increasingly prevalent. External investment can be a catalyst for the conventionalization of alternative agriculture. The study seeks to examine the dynamics through which external investment and investors facilitate the conventionalization of alternative agriculture. A study was conducted on a Sharing Community Supported-Agriculture (CSA) Farm, with data being gathered through semi-structured interviews and analyzed using thematic methods. The findings indicated that (1) the low economic sustainability of Sharing CSA Farm leads to an influx of external investment; (2) external investors compel the farm manager to relax adherence to the ecological values and principles of organic agriculture and shift towards specialized and intensive farming in order to make the farms profitable; (3) a new business model for Sharing CSA Farm is adopted to further support the conventionalization. This study can provide new implications for improving the economic sustainability of alternative agriculture.
On the Inverse of the Linearization Coefficients of Bessel Polynomials
Authors: Atia Mohamed Jalel
Published: June 2024

In this contribution, we first present a new recursion relation fulfilled by the linearization coefficients of Bessel polynomials (LCBPs), which is different than the one presented by Berg and Vignat in 2008. We will explain why this new recursion formula is as important as Berg and Vignat’s. We introduce the matrix linearization coefficients of Bessel polynomials (MLCBPs), and we present some new results and some conjectures on these matrices. Second, we present the inverse of the connection coefficients with an application involving the modified Bessel function of the second kind. Finally, we introduce the inverse of the matrix of the linearization coefficients of the Bessel polynomials (IMLCBPs), and we present some open problems related to these IMLCBPs.
Glioblastoma Vaccines as Promising Immune-Therapeutics: Challenges and Current Status
Authors: Squalli Houssaini Asmae , Lamrabet Salma , Nshizirungu Jean Paul , Senhaji Nadia , Sekal Mohammed , Karkouri Mehdi , Bennis Sanae
Published: June 2024

Glioblastoma (GBM) is the most common and aggressive malignant brain tumor. Standard treatments including surgical resection, radiotherapy, and chemotherapy, have failed to significantly improve the prognosis of glioblastoma patients. Currently, immunotherapeutic approaches based on vaccines, chimeric antigen-receptor T-cells, checkpoint inhibitors, and oncolytic virotherapy are showing promising results in clinical trials. The combination of different immunotherapeutic approaches is proving satisfactory and promising. In view of the challenges of immunotherapy and the resistance of glioblastomas, the treatment of these tumors requires further efforts. In this review, we explore the obstacles that potentially influence the efficacy of the response to immunotherapy and that should be taken into account in clinical trials. This article provides a comprehensive review of vaccine therapy for glioblastoma. In addition, we identify the main biomarkers, including isocitrate dehydrogenase, epidermal growth factor receptor, and telomerase reverse transcriptase, known as potential immunotherapeutic targets in glioblastoma, as well as the current status of clinical trials. This paper also lists proposed solutions to overcome the obstacles facing immunotherapy in glioblastomas.
Numerical Analysis of Hydrodynamic Characteristics of Two-Dimensional Submerged Structure in Irregular Waves
Authors: Jin Ruijia , Zhang Yu , Zhou Zhibo , He Ming
Published: June 2024

A comprehensive two-dimensional (2D) time-domain numerical model is established to investigate the interaction of irregular waves and submerged structures with different sections. The model specifically focuses on the dual-lane submerged floating tunnel (SFT) designs, encompassing elliptical, twin-circular, and round rectangular sections. For the hydrodynamic analysis, we adopt the second-order potential flow theory, while for the mooring line simulations, we employ the slender rod theory, taking into account the entire hydrodynamic load acting on it. In the coupled dynamic analysis, the fourth-order Adams–Bashforth–Moulton method, Newmark-β method, and Newton–Raphson iteration scheme are utilized for the coupled motion equation of the floating body and the dynamic equation of the mooring riser system. Experimental free decay tests are conducted to determine the damping coefficients of various section shapes in different directions. Our analysis delves into the detailed motion responses and mooring tensions of the SFTs with different section forms under irregular waves. We compare and contrast these responses in both time and frequency domains, particularly focusing on movement trends. The elliptical section structure emerges as the most stable design based on our comparisons. These findings provide valuable insights for the selection of optimal section shapes for dual-lane SFTs.
The Use of Photo-Biological Parameters to Assess the Establishment Success of Posidonia oceanica Cuttings after Transplantation
Authors: Boulenger Arnaud , Roberty Stéphane , Lopez Velosa Maria Margarita , Marengo Michel , Gobert Sylvie
Published: June 2024

Seagrass meadows are increasingly threatened by anthropogenic activities and climate change, necessitating restoration efforts such as cutting transplantation. Understanding the complex interactions between plant morphology and physiology is crucial for designing robust restoration strategies and assessing the success of transplantation and recovery processes. A pilot transplantation experiment with the Mediterranean seagrass Posidonia oceanica (L.) Delile was conducted in Northwestern Corsica (Calvi, France) to evaluate the feasibility of meadows degraded due to boat anchoring. The effects of the cuttings’ origin and transplanting depth were investigated. The establishment success of transplanted fragments was assessed by investigating the photo-physiological parameters, carbohydrate content, and biometric parameters of both transplanted and control plants one year after transplantation at depths of 20 and 28 m. After one year, there was a high survival rate (90%) of the transplants, but their leaf surface area and biomass were significantly reduced compared to the control plants. Photosynthetic activity remained consistent between both depths, emphasizing the ability of P. oceanica cuttings to acclimate to a new light environment in a relatively short period of time (<3 months). Furthermore, light-harvesting pigments, photoprotective pigments, and carbohydrate concentration were greater at the deeper sites. This implies that transplantation at greater depths might be more effective. Furthermore, additional research is necessary to enhance our understanding of the relationship between photosynthesis and the overall health of the plant. This study emphasizes the essential integration of morphological and physiological investigations to offer an ecologically meaningful understanding of how marine ecosystems respond to various restoration methods.
Climate-Driven Wave Analysis Reveals Changes in Alongshore Sediment Transport: The Case of the Coastal Zone of a Harbor in Thermaikos Bay (NW Aegean Sea)
Authors: Ntafloukas Christos , Savvidis Yiannis
Published: June 2024

The sediment transport along a coastal zone of Thermaikos Bay and the interaction with the coastline were studied in the present research. This study concerns the greater basin of an existing breakwater, for which the sand transport during the time periods 1950–1968 and 2009–2017, before and after the construction of the breakwater, were examined. The breakwater led to sand accumulation behind it, causing the well-known phenomenon of salient. It was revealed that climate change, in terms of wind conditions, significantly affected sediment transport; more specifically, the sand transport during 2009–2017 not only decreased significantly, but also changed its direction, in relation to 1950–1968. Based on the information obtained, technical interventions are proposed for the interception of sediment transport and the consequent accumulation of sand behind the breakwater.
LANGUAGE EDUCATION IN PRIMARY EDUCATION OF PUPILS IN POLAND – THE EUROPEAN AND NATIONAL DIMENSION
Authors: Yanytska-Panek T. , Jadczak K.
Published: June 2024

Literary, cultural, and linguistic education is one of the key educational issues in the Polish education system, which undoubtedly has deep historical and national determinants. However, education in literacy techniques is not currently sufficient to develop individual, vocabulary-rich, and creative speech and writing. Language development is an expression of concern for an individual’s personality development, causing changes in all spheres of development of a child or a younger student. Live contact with literature and works of culture has an impact on social, civic, and patriotic development. Nowadays, children contact with culture, including literature. It has been heavily modified. The content that used to dominate books and magazines has been appropriated by the media. A multicultural Europe inspires children, their parents, and teachers to learn foreign languages. Language education in the 21st century has gained new contexts and interpretations. Language competencies include communicative competencies: linguistic, cultural, and social skills and general knowledge about the world. Learning one’s native language is a nationwide task and a manifestation of patriotism, which should be developed in multicultural Europe. It is necessary to form children’s motivation to communicate in their native language and to be multilingual, accordingly to use the natural inclinations of children and younger schoolchildren. Access to information and modern technologies prevents marginalization and social isolation. It has been found that the interest in reading among students is decreasing, which is influenced by digital media. To make the content more accessible to children and younger schoolchildren, interesting screen adaptations based on examples of well-known literature have been prepared. The forms of reading to children by adults are interesting.
Associação entre o grau de ansiedade e uso de cigarros eletrônicos em acadêmicos de medicina
Authors: Zaccaron Moretti João Paulo , Réus Mosena Luiz Henrique , Scarabelot Rech Maria Clara , Pizoni Porfirio Vitor , Pacheco Rico Eduardo
Published: June 2024

Objetivo. Avaliar a associação entre o grau de ansiedade e o uso de cigarros eletrônicos em acadêmicos de medicina de uma Universidade em Santa Catarina. Método. Estudo observacional analítico transversal, com abordagem quantitativa e coleta de dados primários através de um questionário online. O questionário avaliou a população acadêmica (n=279) do curso de medicina de uma Universidade no Extremo Sul Catarinense quanto ao seu perfil epidemiológico, fase do curso, grau de ansiedade, consumo de cigarro eletrônico e uso de medicamento ansiolítico. O questionário foi elaborado pelos próprios autores para a avaliação do uso de cigarros eletrônicos. Além disso, a partir do questionário, foi aplicada nessa população a escala de ansiedade de Hamilton para a avaliação do grau de ansiedade dos participantes. Resultados. A amostra foi composta por 303 acadêmicos, sendo a maioria do sexo feminino e branco. Os estudantes estavam distribuídos em diferentes fases do curso, e 25,7% utilizavam ansiolíticos. 64,4% já experimentaram cigarros eletrônicos, sendo motivados por substâncias e aromas. A ansiedade variou entre os participantes, correlacionada com sexo, fase do curso e uso de cigarros eletrônicos, enquanto a idade não apresentou uma manifestação significativa de ansiedade. Conclusão. Mulheres e estudantes nas fases iniciais do curso apresentaram maior ansiedade, enquanto homens e estudantes no final do curso tiveram menos ansiedade. O uso de cigarros eletrônicos esteve associado a maiores níveis de ansiedade, enquanto os não usuários apresentaram menos ansiedade.
INVESTIGATION OF CHANGES IN THE MAIN DESIGN PARAMETERS OF THE HEATING PERIOD ACCORDING TO THE TEMPERATURE ARCHIVE
Authors: Sheremet E. , Starchenko S.
Published: June 2024

In recent decades, there has been an increasing trend towards global warming of the planet. Numerous studies are aimed at assessing the impact of climate change on the construction industry and on the infrastructure sector as a whole. At the same time, not many works are aimed at studying the impact of climate change on the building's energy demand for heating. The purpose of the work was to study the changes in the main parameters of the heating season of the Belgorod region, necessary for calculating the thermal protection of buildings. The minimum, average and maximum annual temperatures are analyzed, the dates of the beginning and end of heating periods, the duration of heating periods, the minimum temperatures of heating periods, the temperatures of the coldest five-day heating periods, the average temperatures of heating periods, the degree-day heating periods from 1936 to 2023 are analyzed. A forecast assessment of the above parameters was also performed with a forecast up to 2050, taking into account the appearance of a trend of increasing average annual temperatures since the 1980s. The trends towards an increase in the minimum temperatures of the heating seasons, an increase in the temperatures of the coldest five days, an increase in the average temperatures of the heating periods and a decrease in the degree-day of the heating periods are revealed. The conclusion is made about the correlation of global warming and climate warming in the Belgorod region. It has been revealed that warming in the Belgorod region is proceeding faster than estimated in a number of studies at the beginning of the XXI century, but the values of changes in the main parameters correlate well with a number of more modern studies considered in the work. Recommendations are given for the design of heating systems, taking into account the tendency to increase the degree-day of heating periods
ANALYSIS OF RISKS OF INVESTMENT ACTIVITIES AT VARIOUS STAGES OF THE LIFE CYCLE OF CONSTRUCTION PROJECTS
Authors: Troshin A. , Stolyarova Z.V. , Lesovik R. , Mahova P.
Published: June 2024

The article presents a study of the stages of the life cycle of construction facilities from the perspective of the efficiency of investment activities. The construction industry remains the most important area of the national economy in any country. Now, due to the unprecedented sanctions pressure, it is going through difficult times. The existing restrictions are a serious challenge for all participants. It is a well-known fact that investment projects in the field of construction are characterized by increased complexity and have a high level of risk. That is why it is necessary to adapt the theoretical foundations of the risk management system to the stages of the life cycle of construction facilities and identify ways to improve its efficiency. The paper analyzes the key stages of the construction process from the perspective of identifying possible risks and finding ways to reduce their negative consequences. Particular emphasis is made on the territorial aspect and the specifics of investment and construction activities in border regions, the status of which implies increased attention to improving the quality of risk management. The number of types of risk and the variability of their manifestations are steadily growing, and this process is irreversible and objectively existing. First, this is due to the uncertainty of the political and social environment. As a result, in addition to traditional risks, situations related to military operations and terrorist attacks, which in most cases are not included in the standard insurance package, are added. At the same time, this does not make the task of minimizing them impossible for all those interested in the growth and prosperity of the construction industry, which is the foundation for the socio-economic development of the country.
Une production céramique à la charnière des Ve et VIe siècles ap. J.-C. sur le site de Ganay à Saint-Laurent-Nouan (Loir-et-Cher)
Authors: Ben Kaddour Cyrille , Jaffrot Etienne , Vandecasteele Guillaume
Published: June 2024

Une fouille préventive au nord de Blois, sur la commune de Saint-Laurent-Nouan, a permis d’identifier deux fours liés à la production de céramiques et de terres cuites architecturales à la charnière des Ve-VIe siècles.
La population inhumée de la nécropole mérovingienne d'Erstein (Bas-Rhin). Identité biologique et identité sociale : premiers résultats
Authors: Baillif-Ducros Christèle , Fischbach Thomas , Georges Patrice , Rohmer Pascal
Published: June 2024

Les fouilles préventives menées successivement en 1999-2000 puis en 2003 par l’Inrap sur le lieu dit «Beim Limersheimerweg » à Erstein (Bas-Rhin, France) ont mis au jour une des plus remarquables et vastes nécropoles pour la période mérovingienne et plus particulièrement pour l’Alsace du haut Moyen Âge. L’occupation de la nécropole s’échelonne sur près de deux siècles, du deuxième quart du VIe siècle à la fin du VIIe siècle après J.-C. Elle est composée de 253 sépultures, dont un certain nombre d’entre-elles peuvent être qualifiées de «privilégiées » , par la qualité et l’abondance du mobilier qu’elles renferment. La présence de chambres funéraires de type «Morken » , d’enclos funéraires circulaires, de l’inhumation d’un cheval et de nombreux dépôts alimentaires évoquent indiscutablement des influences germaniques, notamment thuringiennes, dans les pratiques funéraires de cette population.