bluuebunny/crossref_metadata_2025 huggingface dataset:
A Room of Quiet Contemplation: Seeing and Identification in the National Museum of Korea
Authors: Kim Jin Sook
Published: November 2024

Contemplation is a unique way of seeing that enables us to perceive the truth of the invisible beyond what is visible. Through contemplation, one can become deeply connected with, and possibly even identify with, what they have observed. This study analyzes the spatial arrangement of “A Room of Quiet Contemplation” at the National Museum of Korea and explores its interaction with visitors. Although the room prominently features two Buddhist pensive bodhisattva statues, giving it a Buddhist appearance, it must meet certain necessary conditions due to its location in a national museum. Respect for religious diversity and the neutralization of religious bias are crucial. We examine how the statues are de-contextualized from their original temporal and local contexts, allowing them to function as universal (non-religious) signs in the museum. Furthermore, the room must be accessible to foreign visitors from various cultural and religious backgrounds. Thus, this research investigates the universality and singularity of the tradition of contemplation. Additionally, we explore how the experience of contemplation can be enhanced through various forms of the spatial expansion of “A Room of Quiet Contemplation”.
Relational Consciousness as Eco-Spiritual Formation: Interreligious Construction with Rosemary R. Ruether and Neo-Confucianism
Authors: Lee Joo Hyung
Published: November 2024

This study investigates the theological and philosophical interplay between Rosemary Radford Ruether’s ecofeminist theology and Neo-Confucian cosmology in the context of Korean Protestant Christianity. By exploring intolerant interpretations of the Christian creation story, it critiques the anthropocentric domination of nature and proposes a reformed ecological spirituality. The research integrates Ruether’s covenantal and sacramental traditions, arguing for the significance of “relational consciousness” as a framework for eco-spiritual formation. Drawing from Ruether’s examination of creation myths and Neo-Confucian perspectives, this study asserts the necessity in reshaping Christian theology to embrace human interdependence with nature and the cosmos. It proposes that Korean Christians, influenced by Calvinist theology, must move beyond human dominion over nature to a role of co-creator and nurturer of the ecosystem, advocating for an eco-theological renewal that centers on relational consciousness for spiritual formation.
Encircle the Pole Star and Encompass Taiyi: On the Astronomical Vision of Politics in the Laozi
Authors: Li Zhikun , Huang Yongfeng
Published: November 2024

The sentence from the tenth chapter of the Laozi, wherein the character “zai” is the last character of the preceding chapter, “po” denotes the ancient polar star Kaiyang, and “yi” signifies the celestial pole Taiyi, finds its roots in ancient Chinese astronomy. “yingpo” conveys the meaning of “encircling the polar star”, whereas “baoyi” signifies “encompassing Taiyi”, thereby metaphorically representing a framework of harmonious order. The depiction of the universe by the author of the Laozi, rooted in ancient astronomical understanding, serves as a political guide for rulers. It suggests that rulers should value the movement pattern of Taiyi, refrain from intervention, and prioritize the inherent qualities of their subjects, thus facilitating their natural development. The entire tenth chapter is centered around this central thesis.
A Fast Algorithm for Matching AIS Trajectories with Radar Point Data in Complex Environments
Authors: Xu Jialuo , Suo Ying , Jiang Yuqing , Yang Qiang
Published: November 2024

In high-traffic port areas, vessel traffic-management systems (VTMS) are essential for managing ship movements and preventing collisions. However, inaccuracies and omissions in the Automatic Identification System (AIS), along with frequent false tracks generated by radar false alarms in complex environments, can compromise VTMS stability. To address the challenges of establishing consistent navigation and improving trajectory quality, this study introduces a novel method to directly identify AIS-matched trajectories from radar plots. This approach treats radar points as probability clouds, generating a multi-dimensional information layer by stacking these clouds after differential transformations based on AIS data. The resulting layer undergoes filtering and clustering to extract point sets that align with AIS data, effectively isolating matching trajectories. The algorithm, validated with simulated data, rapidly identifies target trajectories amid extensive interference without requiring strict parameter adjustments. In measured data, the algorithm rapidly provides matching trajectories, although further human judgment is still required due to the potential absence of true values in measured data.
Biodiversity from the Sky: Testing the Spectral Variation Hypothesis in the Brazilian Atlantic Forest
Authors: Pinon Tobias Baruc Moreira , Mendonça Adriano Ribeiro de , Silva Gilson Fernandes da , Effgen Emanuel Maretto , Rodrigues Nívea Maria Mafra , Fernandes Milton Marques , Sansevero Jerônimo Boelsums Barreto , Almeida Catherine Torres de , Dias Henrique Machado , Gonçalves Fabio Guimarães , Almeida André Quintão de
Published: November 2024

Tropical forests have high species richness, being considered the most diverse and complex ecosystems in the world. Research on the variation and maintenance of biodiversity in these ecosystems is important for establishing conservation strategies. The main objective of this study was to test the Spectral Variation Hypothesis through associations between species diversity and richness measured in the field and hyperspectral data collected by a Remotely Piloted Aircraft (RPA) in areas with secondary tropical forest in the Brazilian Atlantic Forest biome. Specific objectives were to determine which dispersion measurements, standard deviation (SD) or coefficient of variation (CV), estimated for the n pixels occurring within each sampling unit, better explains species diversity; the effects of pixel size on the direction and intensity of this relationship; and the effects of shaded pixels within each sampling unit. The spectral variability hypothesis was confirmed for the Atlantic Forest biome, with R2 of 0.83 for species richness and 0.76 and 0.69 for the Shannon and Simpson diversity indices, respectively, using 1.0 m illuminated pixels. The dispersion (CV and SD) of hyperspectral bands were most strongly correlated with taxonomic diversity and richness in the red-edge and near-infrared (NIR) regions of the electromagnetic spectrum. Pixel size affected R2 values, which were higher for 1.0 m pixels (0.83) and lower for 10.0 m pixels (0.71). Additionally, illuminated pixels had higher R2 values than those under shadow effects. The main dispersion variables selected as metrics for regression models were mean CV, CV for the 726.7 nm band, and SD for the 742.3 and 933.4 nm bands. Our results suggest that spectral diversity can serve as a proxy for species diversity in the Atlantic Forest. However, factors that can affect this relationship, such as taxonomic and spectral diversity metrics used, pixel size, and shadow effects in images, should be considered.
Artificial-Intelligence-Based Classification to Unveil Geodynamic Processes in the Eastern Alps
Authors: Bignami Christian , Pignatelli Alessandro , Romoli Giulia , Doglioni Carlo
Published: November 2024

InSAR has emerged as a leading technique for studying and monitoring ground movements over large areas and across various geodynamic environments. Recent advancements in SAR sensor technology have enabled the acquisition of dense spatial datasets, providing substantial information at regional and national scales. Despite these improvements, classifying and interpreting such vast datasets remains a significant challenge. InSAR analysts and geologists frequently have to manually analyze the time series from Persistent Scatterer Interferometry (PSI) to model the complexity of geological and tectonic phenomena. This process is time-consuming and impractical for large-scale monitoring. Utilizing Artificial Intelligence (AI) to classify and detect deformation processes presents a promising solution. In this study, vertical ground deformation time series from northeastern Italy were obtained from the European Ground Motion Service and classified by experts into different deformation categories. Convolutional and pre-trained neural networks were then trained and tested using both numerical time-series data and trend images. The application of the best performing trained network to test data showed an accuracy of 83%. Such a result demonstrates that neural networks can successfully identify areas experiencing distinct geodynamic processes, emphasizing the potential of AI to improve PSI data interpretation.
Construction of Electrospun ZnO-NiO Nanofibers for Enhanced Ethanol Gas Sensing
Authors: Bonyani Maryam , Zebarjad Seyed Mojtaba , Kim Tae-Un , Kim Hyoun Woo , Kim Sang Sub
Published: November 2024

Semiconducting metal oxides with nanofiber (NF) morphologies are among the most promising materials for the realization of gas sensors. In this study, we have prepared electrospun ZnO-NiO composite NFs with different amounts of NiO (0, 20, 40, 60 and 80% wt%) for the systematic study of ethanol gas sensing. The fabricated composite NFs were annealed at 600 °C for crystallization. Based on characterization studies, NFs were produced with desired morphologies, phases, and chemical compositions. Ethanol gas sensing studies revealed that the sensor with 40 wt% NiO had the highest response (3.6 to 10 ppm ethanol) at 300 °C among all gas sensors. The enhanced gas response was ascribed to the formation of sufficient amounts of p-n NiO-ZnO heterojunctions, NFs’ high surface areas due to their one-dimensional morphologies, and acid–base interactions between ZnO and ethanol. This research highlights the need for the optimization of ZnO-NiO composite NFs so that they achieve the highest sensing response, which can be extended to other similar metal oxides.
A Spatial-Temporal Multi-Feature Network (STMF-Net) for Skeleton-Based Construction Worker Action Recognition
Authors: Tian Yuanyuan , Lin Sen , Xu Hejun , Chen Guangchong
Published: November 2024

Globally, monitoring productivity, occupational health, and safety of construction workers has long been a significant concern. To address this issue, there is an urgent need for efficient methods to continuously monitor construction sites and recognize workers’ actions in a timely manner. Recently, advances in electronic technology and pose estimation algorithms have made it easier to obtain skeleton and joint trajectories of human bodies. Deep learning algorithms have emerged as robust and automated tools for extracting and processing 3D skeleton information on construction sites, proving effective for workforce action assessment. However, most previous studies on action recognition have primarily focused on single-stream data, which limited the network’s ability to capture more comprehensive worker action features. Therefore, this research proposes a Spatial-Temporal Multi-Feature Network (STMF-Net) designed to utilize six 3D skeleton-based features to monitor and capture the movements of construction workers, thereby recognizing their actions. The experimental results demonstrate an accuracy of 79.36%. The significance of this work lies in its potential to enhance management models within the construction industry, ultimately improving workers’ health and work efficiency.
LOTUS Software to Process Wearable EmbracePlus Data
Authors: Fogarty Jack S.
Published: November 2024

The Empatica EmbracePlus is a recent innovation in medical-grade wristband wearable sensors that enable unobtrusive continuous measurement of pulse rate, electrodermal activity, skin temperature, and various accelerometry-based actigraphy measures using a minimalistic smartwatch design. The advantage of this lightweight wearable is the potential for holistic longitudinal recording and monitoring of physiological processes that index a suite of autonomic functions, as well as to provide ecologically valid insights into human behaviour, health, physical activity, and psychophysiological processes. Given the longitudinal nature of wearable recordings, EmbracePlus data collection is managed by storing raw timeseries in short ‘chunks’ in avro file format organised by universal standard time. This is memory-efficient but requires programming expertise to compile the raw data into continuous file formats that can be processed using standard techniques. Currently, there are no accessible tools available to compile and analyse raw EmbracePlus data over user-defined time periods. To address that, we introduce the LOTUS toolkit, an open-source graphical user interface that allows users to reconstitute and process EmbracePlus datasets over select time intervals. LOTUS is available on GitHub, and currently allows users to compile raw EmbracePlus data into unified timeseries stored in more familiar Excel or Matlab file formats to facilitate signal processing and analysis. Future work will expand the toolkit to process Empatica E4 and other wearable signal data, while also integrating more sophisticated functions for feature extraction and analysis.
A Novel Hybrid Approach: Integrating Bayesian SPDE and Deep Learning for Enhanced Spatiotemporal Modeling of PM2.5 Concentrations in Urban Airsheds for Sustainable Climate Action and Public Health
Authors: Johnson Daniel Patrick , Ravi Niranjan , Filippelli Gabriel , Heintzelman Asrah
Published: November 2024

This study introduces a novel hybrid model combining Bayesian Stochastic Partial Differential Equations (SPDE) with deep learning, specifically Convolutional Neural Networks (CNN) and Deep Feedforward Neural Networks (DFFNN), to predict PM2.5 concentrations. Traditional models often fail to account for non-linear relationships and complex spatial dependencies, critical in urban settings. By integrating SPDE’s spatial-temporal structure with neural networks’ capacity for non-linearity, our model significantly outperforms standalone methods. Accurately predicting air pollution supports sustainable public health strategies and targeted interventions, which are critical for mitigating the adverse health effects of PM2.5, particularly in urban areas heavily impacted by climate change. The hybrid model was applied to the Pleasant Run Airshed in Indianapolis, Indiana, utilizing a comprehensive dataset that included PM2.5 sensor data, meteorological variables, and land-use information. By combining SPDE’s ability to model spatial-temporal structures with the adaptive power of neural networks, the model achieved a high level of predictive accuracy, significantly outperforming standalone methods. Additionally, the model’s interpretability was enhanced through the use of SHAP (Shapley Additive Explanations) values, which provided insights into the contribution of each variable to the model’s predictions. This framework holds the potential for improving air quality monitoring and supports more targeted public health interventions and policy-making efforts.
Life Cycle Assessment and Environmental Impact Evaluation of CCU Technology Schemes in Steel Plants
Authors: Yu Chaoke , Li Yingnan , Wang Lulin , Jiang Yifan , Wang Siyi , Du Tao , Wang Yisong
Published: November 2024

Greenhouse gas emissions are significant contributors to global warming, and steel enterprises need to find more efficient and environmentally friendly solutions to reduce CO2 emissions while maintaining high process efficiency and low production costs. Carbon capture and utilization (CCU) is a promising approach which can convert captured CO2 into valuable chemicals, reducing dependence on fossil fuels and mitigating climate change. This study uses life cycle assessment (LCA) to compare the environmental impacts of BF-BOF steel plants with and without CCU. When evaluating seven scenarios, including three carbon capture and two carbon utilization technologies, against a baseline, the results demonstrate significant environmental benefits from implementing CCU technologies. Although the activated carbon TSA route for CO2-based methanol production showed good environmental performance, its toxicity risks highlight the advantages of combining TSA with steel slag carbonation as a better non-toxic solution.
The Role of Single Landscape Elements in Enhancing Landscape Aesthetics and the Sustainable Tourism Experience: A Case Study of Leisure Furniture
Authors: Liang Haisheng , Wu Zhihui
Published: November 2024

This study focuses on Xuanwu Lake Park and Purple Mountain National Forest Park in Nanjing to explore the impact of leisure furniture as a single landscape element on the visual landscape evaluation and sustainable tourism experience. In previous studies, researchers paid more attention to the overall beauty of landscape and its impact on tourists’ experiences, and there was a lack of studies on the role of a single landscape element (such as leisure furniture) in enhancing landscape beauty and tourists’ experiences. This study addresses gaps in the literature by isolating leisure furniture from other landscape elements in order to assess its unique contribution to aesthetic appeal and the various dimensions of a sustainable tourism experience, including sensory, emotional, cognitive, and operational aspects. Using Schmitt’s five-dimensional Strategic Experiential Model as the framework and combining the dual methods of visual assessments and visitor surveys, an assessment team consisting of 40 members was formed to evaluate the visual landscape of leisure furniture in two major scenic spots, and 492 valid questionnaires were collected and analyzed to study the impact of leisure furniture on tourists’ experiences. The findings reveal that leisure furniture significantly enhances visitors’ aesthetic evaluations and sensory experiences at Xuanwu Lake National Forest Park. However, suboptimally designed leisure furniture at Purple Mountain National Forest Park negatively affects both the visual appeal and sensory experience of visitors. Nevertheless, in both locations, leisure furniture positively impacts emotional and operational experiences, highlighting its role in promoting relaxation and interaction among visitors. This study provides practical insights for landscape designers and urban planners regarding the importance of carefully designing and positioning leisure furniture to optimize aesthetic and experiential outcomes. It also provides certain enlightenment and insights for future exploration of the impacts of other landscape elements (such as vegetation, water, lighting, etc.) on visual landscape evaluations and visitors’ experiences.
Strategic Language Use in Sustainability Reporting: An Empirical Study
Authors: Kochkina Nataliia , Macchia Silvia , Floris Michela
Published: November 2024

This study examines the sector-specific linguistic strategies utilized by large Italian firms, emphasizing the relationship between language, corporate governance procedures, and sustainability initiatives. This research employs a content analysis of 210 sustainability reports (SRs) from 203 corporations, categorizing firms into seven industry-specific clusters and examining how various sectors communicate sustainability activities. The research utilizes language game theory to determine if the vocabulary employed in SRs promotes a uniform comprehension of sustainability activities and aids stakeholders in assessing company sustainability plans. Key findings indicate a substantial disparity in the terminology employed across various businesses, underscoring the fragmentation and sector-specific focus in SR procedures. The research reveals sector-specific linguistic techniques that influence the discourse on sustainability, illustrating how language is deliberately employed to correspond with each sector’s objectives and governance frameworks. This research enhances academic literature by incorporating language game theory into SR analysis, revealing the influence of sector-specific language on sustainability narratives. It also underscores the issues associated with positive framing and the potential for greenwashing, wherein optimistic rhetoric may compromise the integrity and trustworthiness of SRs. The results necessitate standardized reporting systems to improve the comparability and accountability of systematic reviews across various sectors.
Development of a Traffic Congestion Prediction and Emergency Lane Development Strategy Based on Object Detection Algorithms
Authors: Zhang Chaokai , Cheng Hao , Wu Rui , Ren Biyun , Zhu Ye , Peng Ningbo
Published: November 2024

With rapid economic development and a continuous increase in motor vehicle numbers, traffic congestion on highways has become increasingly severe, significantly impacting traffic efficiency and public safety. This paper proposes and investigates a traffic congestion prediction and emergency lane development strategy based on object detection algorithms. Firstly, the YOLOv11 object detection algorithm combined with the ByteTrack multi-object tracking algorithm is employed to extract traffic flow parameters—including traffic volume, speed, and density—from videos at four monitoring points on the Changshen Expressway in Nanjing City, Jiangsu Province, China. Subsequently, using an AdaBoost regression model, the traffic density of downstream road sections is predicted based on the density features of upstream sections. The model achieves a coefficient of determination R2 of 0.968, a mean absolute error of 11.2 vehicles/km, and a root mean square error of 19.9 vehicles/km, indicating high prediction accuracy. Building on the interval occupancy rate model, this paper further analyzes the causes of traffic congestion and designs decision-making processes for the activation and deactivation of emergency lanes. By real-time monitoring and calculating the vehicle occupancy rate of the CD interval, threshold conditions for activating emergency lanes are determined. When the interval occupancy rate KCD(t) exceeds 80%, the emergency lane is proactively opened. This method effectively alleviates traffic congestion and reduces congestion duration. Quantitative analysis shows that after activating the emergency lane, the congestion duration in the CD section decreases from 58 min to 30 min, the peak occupancy rate drops from 1 to 0.917, and the congestion duration is shortened by 48.3%. Additionally, for the Changshen Expressway, this paper proposes two optimization points for monitoring point layout, including setting up monitoring points in downstream sections and in the middle of the CD section, to further enhance the scientific and rational management of emergency lanes. The proposed strategy not only improves the real-time extraction and prediction accuracy of traffic flow parameters but also achieves dynamic management of emergency lanes through the interval occupancy rate model, thereby alleviating highway traffic congestion. This has significant practical application value.
Does Carbon Emission Trading Affect China’s Green Innovation? An Exploration from the Perspective of the Enterprise Lifecycle
Authors: Gao Cuiyun , Li Xin , Hou Junjie
Published: November 2024

At different lifecycle stages, enterprises possess differentiated resource endowments and innovation needs, leading to variations in the effect of carbon emission trading policies on their green innovation. This study analyzes the impact of China’s carbon emission trading policy on green innovation, using A-share listed firms in Shanghai and Shenzhen between 2010 and 2022 as samples, from the perspective of the enterprise lifecycle. The results validate the Porter hypothesis, showing that the policy stimulates green innovation, especially in the growth and maturity stages of enterprises. However, the extent of this impact varies across enterprise scale heterogeneity, heterogeneity in the proportion of independent directors, heterogeneity in the level of green innovation and regional heterogeneity. The carbon emission trading policies can mitigate financing constraints and improve capital investment to foster green innovation, especially for mature enterprises. The findings not only enhance the theoretical investigation of flexible market-oriented environmental regulatory mechanisms but also provide valuable insights for advancing the growth of China’s low-carbon economy.
Potential Subgraphs of the Missing Moore Graph
Authors: Smith Derek H. , Montemanni Roberto
Published: November 2024

The possible existence of a Moore graph of diameter 2 and degree 57 has been an open question for more than six decades. In this paper, certain subgraphs of this graph, referred to as t-subgraphs, are considered. Exploiting symmetry by assuming a cyclic group of permutations representing edges joining leaf nodes of branches of a tree, a tractable constraint model for t-subgraphs is created. This can be solved using the Google OR Tools CP-SAT solver. Larger potential t-subgraphs than those currently known are constructed. This further extends a construction of certain sets of mutually orthogonal Latin rectangles. The implications for non-existence proofs of the Moore graph are considered.
Activated Sludge Combined with Pervious Concrete Micro-Ecosystem for Runoff Rainwater Collection and Pollutant Purification
Authors: Zhang Yongsheng , Jia Xuechen , Yuan Pengfei , Li Bingqi , Pan Wenyan , Liu Jianfei , Zhao Weilong
Published: November 2024

This study investigated the purification of pollutants in runoff rainwater by constructing a micro-ecosystem using waste-activated sludge (WAS) and riverbed sludge (RBS) as inoculums in combination with pervious concrete. The research results showed that the best hydraulic retention time (HRT) was 9 h. The COD and ammonia nitrogen (NH4+-N) removal of the waste-activated sludge ecosystem (WASE) was 62.67% and 71.21%, respectively, while the riverbed sludge ecosystem (RBSE) showed COD and NH4+-N removal percentages of 46.05% and 66.55%, respectively. The analysis of the genetic metabolism of microbial genes showed that the system was microbially enhanced with extensive and diverse populations. At the phylum level, the microorganisms responsible for degrading organic matter were mainly Firmicutes and Actinobacteriota. At the genus level, the Trichococcus genus was dominant in the WASE, while the Dietzia, norank_f__Sporomusaceae and norank_f__norank_o__norank_c__BRH-c20a genera were the central bacterial populations in the RBSE. The proliferation of phylum-level bacteria in the WASE was relatively large, and the genus-level bacteria demonstrated a better removal efficiency for pollutants. The overall removal effect of the WASE was better than that of the RBSE. The application analyses showed that a WASE is capable of effectively accepting and treating all rainfall below rainstorm levels and at near-full rainstorm levels under optimal removal efficiency conditions. This study innovatively used wastewater plant waste-activated sludge combined with pervious concrete to construct a micro-ecosystem to remove runoff rainwater pollutants. The system achieved pollutant removal comparable to that of pervious concrete modified with adsorbent materials. An effective method for the collection and pollutant treatment of urban runoff rainwater is provided.
Microplastics Exposure Aggravates Synovitis and Pyroptosis in SLE by Activating NF-κB and NRF2/KEAP1 Signaling
Authors: Zeng Wenxiang , He Shiqiao , Zhao Ying , Jiang Minjian , Wang Wenla , Yang Limeng , Du Weibin , Zhuang Wei
Published: November 2024

Microplastics (MPs) represent an emerging pollutant capable of entering the human body through the respiratory and digestive systems, thereby posing significant health risks. Systemic lupus erythematosus (SLE) is a complex autoimmune disease that affects multiple organ systems, often presenting with polyarticular joint manifestations. Despite its relevance, there is currently limited research on the impact of MPs on lupus arthritis. This study aims to investigate the effects of MPs on joint inflammation in SLE. MRL/lpr mice exhibit SLE similar to that of humans. We administered either 0.5 mg/kg or 5 mg/kg of MPs to 8-week-old female MRL/lpr mice via oral ingestion. Our findings indicate that exposure to MPs can lead to synovial damage, adversely affecting the morphology and function of the knee joint, along with increased oxidative stress, apoptosis, synovial fibrosis, and the secretion of inflammatory cytokines. Notably, MPs significantly enhanced synovial cell pyroptosis by upregulating the expression of NLRP3, CASPASE-1, GSDMD, IL-1β, and IL-18. Mechanistic analyses further demonstrated that MPs exposure activates the NF-κB and NRF2/KEAP1 signaling pathways. Overall, our in vivo findings suggest that MPs exposure promotes synovial cell pyroptosis through increased oxidative stress and NF-κB signaling, thereby disrupting the structure and function of synovial tissue. This research provides new insights into the synovial damage associated with MPs exposure.
The Challenge of Bacterial Strain Identification: Leptospira interrogans Serovars Australis in a Dog and Long-Term Clinical Follow-Up
Authors: Furlanello Tommaso , Mazzotta Elisa , Bertasio Cristina , D’Incau Mario , Bellinati Laura , Lucchese Laura , Natale Alda
Published: November 2024

Leptospirosis is a widespread disease throughout the world, presenting in severe clinical forms in dogs. The pathogenicity of the different serovars in field infections is not fully documented, and clinical diagnosis is often limited to a combination of serological tests and molecular analyses. The latter, although a fundamental tool, cannot identify the infecting strain without further analysis. This study reports the use of various indirect (microscopic agglutination test, MAT) and direct (microbiological culture, real-time PCR) laboratory techniques, followed by typing protocols (Multi-locus Sequence Typing (MLST), Multiple Loci Variable number tandem repeat Analysis (MLVA), serotyping) that allowed for the identification of the Leptospira serovar Australis in a symptomatic and previously vaccinated dog (vaccine containing heterologous strains). This study reports long-term clinical follow-up (0–640 days) and describes the possible role of the infection in the development of chronic renal failure. This study aims to highlight how a combination of different techniques can be useful to better characterise the environmental circulation of zoonotic agents. Therefore, the identification and isolation of circulating L. strains would facilitate the updating of epidemiological data, enhance the knowledge of pathogenicity and long-term clinical effects, and provide a valuable resource for improving the efficacy of a specific serovar vaccination.
Turning Cancer Immunotherapy to the Emerging Immune Checkpoint TIGIT: Will This Break Through the Limitations of the Legacy Approach?
Authors: Cui Haozhe , Elkord Eyad
Published: November 2024

The discovery of immune checkpoints (ICs) has pushed cancer treatment into the next era. As an emerging immune checkpoint, the TIGIT/CD155 axis inhibits the cytotoxicity of T and NK cells through multiple pathways. Immune checkpoint inhibitors (ICIs) targeting TIGIT are hopefully expected to address the issue of unresponsiveness to anti-PD-(L)1 monoclonal antibodies (mAbs) by combination therapy. This paper presents insights on the expression, structure and mechanism of action of TIGIT, as well as the principles and methods of designing mAbs targeting TIGIT and their clinical data. The advantages and disadvantages of targeting TIGIT using mAbs, bispecific and tri-specific antibodies (bsAbs and tsAbs), peptides, and compounds, in addition to potential combination therapies of anti-TIGIT with anti-PD-1 or cancer vaccines, are addressed. Finally, perspectives on current immunotherapies targeting TIGIT are discussed.
Data-Informed Synthetic Networks of Water Distribution Systems for Resilience Analysis in Puerto Rico
Authors: Bonney Kirk L. , Klise Katherine A. , Poff Jason W. , Rivera Samuel , Searles Ian , Chester Mikhail
Published: November 2024

The increasing potential of infrastructure disruptions calls for high-quality infrastructure models to be used in resilience analysis and decision making. Unfortunately, many utilities and communities do not have access to accurate and detailed models due to a lack of data and resources. Furthermore, security restrictions on sharing infrastructure models present roadblocks to research, analysis, and decision making. Recent advances in the development of synthetic water distribution models provide a potential solution to this problem. There is an opportunity to improve these methods by leveraging incomplete pipe datasets to aid synthetic network generation. To address this gap, we developed a methodology for synthetic network generation that incorporates partial pipe data using a modification of the minimum cost flow algorithm for network generation and pipe sizing. This methodology demonstrates how partial pipe data can be leveraged to improve site-specific synthetic network generation. For the study area of Mayagüez, Puerto Rico, a synthetic model generated using 50% of real pipe data matches the pressure of the validation system with an average error of 23.5 m of head, which improves upon the average error of 31.6 m of head produced by a synthetic model generated using no data of the real pipes. Additionally, synthetic networks are shown to replicate the pressure response under a disruption scenario of the validation network, suggesting potential use in resilience analysis.
Utilizing a Novel Halotolerant Bordetella Bacterium Combined with Co-Metabolites to Boost the Degradation of P-Nitrophenol in High-Salinity Wastewater
Authors: Qin Lei , Li Haorui , Tan Yingyu , Yan Xuenan , Tao Peng , Fan Zheng , Li Tiejun , Tan Jia , Wang Yiwei , Jin Lei
Published: November 2024

A novel strain capable of fully utilizing p-nitrophenol (PNP) as the sole carbon source under high-salinity conditions was isolated from the sediments of wastewater discharged from an aquaculture company. The identification of the strain as Bordetella sp. was confirmed by analyzing its morphological, physiological, and biochemical traits in conjunction with its 16S rDNA sequence. Furthermore, pantothenic acid, serving as a carbon source for co-metabolites, could significantly enhance the biodegradation process of the tricarboxylic acid (TCA) cycle. Under the optimal growth conditions at a temperature of 30 °C, pH of 8.0, aeration of 0.32 m3·(m3·min)−1 and salinity of 3% (NaCl, w/v), the degradation rate of 350 mg·L−1 PNP increased from 60.8% to 85.9% within 72 h after adding 30 mg·L−1 of pantothenic acid to a 12-liter bioreactor. The intermediate products from the degradation process, analyzed via GC/MS, were determined to be hydroquinone, which suggests that the degradation pathway of the bacterium for PNP involves the breakdown of hydroquinone. Benefits have been derived from the microorganism’s tolerance to high salinity and high PNP concentrations, coupled with its superior PNP degradation performance, offering new insights and a research basis for the efficient biological treatment of high-salinity PNP wastewater.
Optimization of Shift Strategy Based on Vehicle Mass and Road Gradient Estimation
Authors: Yue Huijun , Jing Haobo , Dai Zhenkun , Lin Jinyu , Ma Zihan , Zhao Changtong , Zhang Pan
Published: November 2024

For electrically driven commercial vehicles equipped with three-speed automatic mechanical transmission (AMT), the transmission control unit (TCU) without vehicle mass and road gradient estimation function will lead to frequent shifting and insufficient power during vehicle full-load or grade climbing. Therefore, it is necessary to estimate the mass and road gradient for the electrically driven commercial vehicles equipped with the three-speed AMT, and to adjust the shift rule according to the estimation results. Given the above problems, this paper focuses on the control and development of the electrically driven three-speed AMT and takes the shift controller with the vehicle mass and road gradient estimation as the research goal. The mathematical model and simulation model of vehicle dynamics are established to verify the shift function of TCU. The least squares method and calibration techniques are applied to estimate the vehicle mass and road gradient. According to the estimation results, the existing shift strategy is optimized, and the software-in-the-loop simulation of the transmission controller is carried out to verify the function of the control algorithm software. The hardware-in-the-loop test model is established to verify the shift strategy’s optimization effect, which shortens the controller’s forward development cycle. According to the estimation results of mass and gradient, the error result of the proposed method is controlled within 4.5% for mass and 8.6% for gradient. The experiment verifies that the optimized shift strategy can effectively improve the dynamic performance of the vehicle. The HIL experimental results show that the vehicle can maintain low gear while climbing the hill, and the vehicle speed does not decrease significantly.
DOS Arte e Arqueologia de Pompeia: Apresentação Do Dossiê
Authors: Costa Grillo José Geraldo , A. Funari Pedro Paulo
Published: November 2024

Fruto das mudanças epistemológicas, ocorridas nas últimas duas décadas, na História da Arte, Arte e Arqueologia é o estudo das artes da Antiguidade Clássica considerando questões de forma, função e contexto de cada obra artística, com os objetivos de compreender a finalidade e utilização de edifícios e objetos, e como estes operam dentro de seu tempo e lugar; como foram intencionados a serem percebidos; quais mensagens eles transmitem, e como o meio ambiente, físico, histórico, econômico, político, social e cultural moldam seus significados para os observadores.
DOS Nuevas formas de ver la Antigüedad Clásica: Pompeya a través del Archivo Madrazo
Authors: Cabrerizo Barranco María Eugenia
Published: November 2024

Los Madrazo ocuparon puestos de gran relevancia dentro del panorama artístico y cultural español desde finales del siglo XVIII y durante gran parte del siglo siguiente, lo que les permitió tener acceso, en ocasiones fruto de la casualidad, a la Antigüedad real que estaba surgiendo, con el descubrimiento de Pompeya y Herculano. Este artículo pone el foco en este aspecto muy poco o nada tratado sobre ellos, que es el haber sido testigos y cronistas privilegiados de episodios fundamentales del redescubrimiento de la Antigüedad clásica y estudiar cómo queda reflejado en su documentación personal y archivo. Este particular acercamiento se realiza a través de cartas y fotografías que expresan mejor que ningún medio su interés, o al menos su curiosidad inicial y su formación en temas clásicos.
DOS Sincronía iconófaga: Picasso y las imágenes pompeyanas en el origen del Ballet Parade (1917)
Authors: Jackson-Martín Rafael
Published: November 2024

A partir del viaje de Picasso a Italia y, en especial, de sus visitas a Pompeya y al Museo di Napoli –en la actualidad, Museo Archeologico Nazionale–, el propósito de este texto es el de revisar el diálogo entre Picasso y algunos ejemplos de arte romano que pudo ver en ambos lugares a partir de su explotación soterrada en la producción abiertamente moderna cristalizada en el ballet Parade y en la pintura Arlequín y mujer con collar (ambos de 1917). De esta manera, se explorarán las posibilidades nuevas que le ofrecieron tales obras artísticas desde su mirada moderna y su espíritu cubista, atendiendo a las necesidades y las ansiedades propias de su proyecto artístico.
TRA A singularidade do drapeado ou a expressividade do ornamento em Aby Warburg
Authors: Job Maria Ivette
Published: November 2024

Tradução para o português do artigo de Marie Schiele, publicado originalmente na revista francesa Cahiers Philosophiques em 2020, em um número dedicado especialmente ao ornamento. O texto de Schiele adquire relevância ao explorar as investigações sobre a expressividade do ornamento presentes nos escritos de Aby Warburg, especificamente a partir do drapeado, o que acaba por oferecer elementos de estudo para diversas linhas de pesquisa, em áreas que transitam da história da arte à psicologia, da estética à moda.
وهن العلاقات الأسرية في ظل الاستخدام الكبير للوسائط الاجتماعية
Authors: Laacheb Djamel , Mebarki Walid
Published: November 2024

إن الانتشار الواسع لوسائل التواصل الاجتماعي سواء في المجتمعات المتقدمة أو المتخلفة يعتبر ظاهرة لا تخفى على أحد فالإحصائيات تقدر عدد منتسبي الفيس بوك مثلا بـ 2 مليار و300 مليون مشترك، وبلغ كذلك عدد منسبي الواتس أب إلى مليار وثلاث مائة مليون مشترك.
هذا الارتباط الهائل بالوسائط الاجتماعية لم يعد حكرا على طبقة أو جماعة بل انتشر وسط جميع شرائح المجتمع باختلاف أعمارهم وجنسهم وتباين مستواهم المادي والثقافي، والأسرة كمكون هام من مكونات المجتمع أصبحت تستخدم هذه الوسائط بشكل مستمر، وأصبح جميع أفرادها ( أب، أم، أبناء ) مندمجين اندماجا كليا مع هذه الوسائط على مدار اليوم حتى في ذروة الأوقات الرسمية التي تلتقي فيها الأسرة حتى أصبح الهاتف الذكي جزء من الكل، هذا ما أدي إلى فتور وهشاشة الرابط الأسري؛ هذا الاخير أصبح التفاعل داخله في حدود لقاءات أو  اجتماعات أو حوادث أسرية حتى الانشطة الاجتماعية أو الدينية التي كانت تميز الأسرة قبل هذه الوسائط تدنت بشكل رهيب داخل ما يسمى بأسرة ما بعد الوسائط الاجتماعية فقد ادى الاستخدام الكبير إلى وهن العلاقات الأسرية ( هشاشة العلاقات، ضعف التواصل والتفاعل الاجتماعي).
دور مواقع التواصل الاجتماعي في تنشيط السياحة الصحراوية
Authors: GHIOUA HAYAM ZOUBEIDA , BOUAZIZE NACER
Published: November 2024

يعتبر القطاع السياحى من القطاعات الأكثر استفادة من شبكات التواصل الاجتماعي من خلال تداول المعلومات والصور والفيديوهات للمناطق السياحية المختلفة، وكدا دور المشتركين في هذه المواقع في التعريف بالمنتوجات السياحية لمعارفهم وخبراتهم الخاصة.
حيث اجريت هذه الدراسة على عينة من الافراد على مستوى ولاية قسنطينة، كما هدفت الدراسة إلى معرفة مدى مساهمة مواقع التواصل الإجتماعي في تنشيط السياحة الصحراوية، وأيضا إلى إمكانية الاعتماد على هذه المواقع في الترويج لهاته السياحة. فان هذه المواقع والتي من أشهرها " الفايسبوك، والتويتر، واليوتيوب" بإمكانها أن تربط الافراد بالسياحة الصحراوية من خلال بناء صورة واضحة حول هذه السياحة وتبادل الفكرة مع افراد من مناطق اخرى، مما يؤكد على حقيقة أن المواقع عبارة عن اداة مروجة بدرجة كبيرة، وهذا ما أكدته هذه الدراسة.
المقومات السياحية الطبيعية لولاية جيجل: الواقع والآفاق
Authors: Bouamoucha Naim , Bechta Hanane
Published: November 2024

يعتبر قطاع السياحة اليوم من القطاعات الإستراتيجية المهمة التي أولتها الجزائر اهتماما كبيرا في السنوات الأخيرة، نظرا لما يحققه للدولة من عوائد اقتصادية واجتماعية، ومصدرا لخلق الثروة وتوفير مناصب الشغل وكل ذلك يصب في إطار تحقيق التنمية المستدامة. وتعد ولاية جيجل إحدى الأقطاب السياحة الهامة في الجزائر نظرا لما تزخر به من تنوع طبيعي وتضاريسي بين الجبال والغابات والبحيرات الطبيعية بالإضافة إلى شريط ساحلي يمتد على مسافة 120 كلم من بلدية زيامة منصورية غربا إلى واد الزهور ببلدية الميلية شرقا. وعلى هذا الأساس يسعى الباحثان من خلال هذه الدراسة للوقوف على المقومات السياحية الطبيعية التي تزخر بها ولاية جيجل، التي رفعت التحدي خلال السنوات الأخيرة لتكون قطبا سياحيا بامتياز ومزارا للسياح من داخل وخارج الوطن، وكدا التعرف على آليات النهوض بقطاع السياحة في ولاية جيجل والخروج من دائرة السياحة الموسمية إلى سياحة على مدار السنة.
ترقية القطاع السياحي كبديل إقتصادي للمحروقات-دراسة حالة الجزائر-
Authors: Nour Mohammed Lamine
Published: November 2024

تعتبر السياحة نشاط مهم جدا وله أهمية كبيرة في الإقتصاد الجزائري، حيث تدعم السياحة الدخل القومي وتوفر العملة الأجنبية وتساهم في حل مشكلة البطالة، لذا فإن البحث عن إقتصاد بديل هو ما تصبو إليه الحكومات المتتالية في الجزائر، والسياحة هي أحد البدائل التي يعول عليها نظرا للإمكانيات الطبيعية والبنى التحية الموجودة. وفي ضل المعطيات الإقتصادية الدولية الراهنة، ومن منطلق ترشيد وإعادة توجيه سياسة الحكومة نحو تشجيع الإستثمار في قطاع السياحة غداة إنهيار أسعار النفط في الأسواق العالمية إلى أدنى مستوياتها بداية من سنة 2014، أعطت الجزائر الأولوية في أجندتها الإقتصادية لقطاعات إستراتيجية من بينها السياحة بغية خلق مورد إقتصادي بديل لقطاع المحروقات، لكن الواقع يؤكد أن مردودية الإستثمار في القطاع السياحي تكون طويلة المدى. كما أن الأزمة الإقتصادية التي تمر بها البلاد خلقت نوعا من الوعي لدى المسؤولين والفاعلين الإقتصاديين للتفكير في تدابير جديدة كفيلة بمجابهة الأزمة، ورغم سياسة التقشف وقرار تخفيض الإنفاق الحكومي بسبب تراجع عائدات البلاد من العملة الصعبة الناتج أغلبه عن صادرات المحروقات، فقد أبقت الحكومة على كل البرامج المسجلة لفائدة الوزارة المكلفة بالسياحة.
ثقافـــــــة الاستثمــــــار في السياحــــة الجبلية بالـــجزائـــر: (الواقع والتحديات)
Authors: Yakoub Salem , Azizi Sara
Published: November 2024

تهدف هذه المداخلة إلى تسليط الضوء على إشكالية أساسية وهي مسألة من المسائل المحورية التي تشكل أهم قضايا الساعة، ألا وهي ثقافة الاستثمار في السياحة الجبلية بالجزائر، أي أنها تحاول عرض واقع السياسة الترويجية للسياحة الجبلية لدى الفرد الجزائري التي شهدت دينامية مهمة في السنوات الأخيرة من خلال تبيان أهم مقوماتها وما قد يعتريها من تحديات خصوصا في ظل أهمية هذا القطاع في تفعيل التنمية الاقتصادية والاجتماعية على حد سواء.
         وانطلاقا من هذه الورقة البحثية حولنا طرح ومناقشة طائفة من الأفكار التي تؤسس لهذه المسألة بداية من الأهمية والميكانيزمات اللازمة للمحافظة على هذا الموروث الطبيعي في ظل التحديات والرهانات المتواجدة.
القطاع السياحي في الجزائر بين تحديات الواقع ورهانات المستقبل
Authors: Forkoche Nawal , Saou Baya
Published: November 2024

تعد السياحة في العصر الحالي موردا هاما لكثير من الدول يتطلب الاهتمام به والقيام بتطويره وتنميته، ليصبح موردا مستداما تستفيد منه الأجيال المتعاقبة، وبإعتبار الجزائر من البلدان التي تتوفر على مجموعة من المقومات الأساسية في الميدان السياحي، صارت تحرص على أن تتجه في الوقت الأخير وبكل عزم وثبات نحو تنمية قطاع السياحة والنهوض به وجعله يقارع الدول الرائدة في هذا المجال. 
لذا تأتي هذه الورقة البحثية للوقوف على واقع القطاع السياحي في الجزائر وإستراتيجية تنميته واستدامته أفاق 2025، حيث توصلت النتائج أنه وبالرغم من الإمكانيات والمقومات السياحية الهائلة والتي يمكن لها أن تكون مقصدا سياحيا عالميا، وبديلا إستراتيجيا لجزائر ما بعد المحروقات، إلى أنها تبقى غير مستغلة بشكل كاف ومدروس، نظرا لافتقاد الفعالية والنجاعة في السياسات أو الاستراتيجيات السياحية التي اعتمدتها الجزائر سابقا.
وبناء عليه، تصبح ترقية صورة الجزائر في الأسواق السياحية العالمية وجعلها وجهة للسياح تستوجب عملا جادا وسنوات من الكد، حتى تزول الصورة القاتمة التي تظهر بها على المستوى الخارجي، وفي هذا السياق جاءت السياسة الجديدة في إطار المخطط التوجيهي للتهيئة السياحية آفاق 2025 لتحسين وتنمية وجهة الجزائر السياحية وجعلها منطقة سياحية بامتياز،
تصورات أرباب الأسر نحو متطلبات تمكين الطفل في عصر الثورة الصناعية الرابعة
Authors: Abouelhaded Fatma Aly , Abd elsattar Fahmy Manal
Published: November 2024

تستهدف الدراسة التعرف على تصورات أرباب الأسر حول طبيعة عصر الثورة الصناعية الرابعة ومدى إدراكهم لملامحها ومخاطرها على الطفل، وحصر متطلبات التمكين الذاتي والموضوعي للطفل في عصر الثورة الصناعية الرابعة من وجهة نظر أفراد العينة، باتباع المنهج المسحي وتطبيق صحفية الاستبيان على عينة قدرها (384) مفردة من أرباب الأسر تم اختيارها بطريقة غير عشوائية، وقد توصلت الدراسة إلى أن ملامح الثورة الصناعية الرابعةـ ـ تتمثل في التجارة الإلكترونية، والاقتصاد الرقمي، والتواصل الاجتماعي عبْر المجتمع الافتراضي، كما أن الطفل قد يتعرض لمخاطر عدة منها؛ الإدمان التكنولوجي، والشعور بالإرهاق، وتغيير سلوكيات الطفل، وفقدان الثقة بالنفس، والتعرض لمشاهدة المواد الإباحية والعنف، كما يتضمن مفهوم تمكين الطفل مجموعة القدرات والمهارات التي تشتمل على قدرة الطفل على التعلم الذاتي عبْر الإنترنت، وأن أهم متطلبات تمكين الطفل ذاتياً تنمية الاتجاهات الإيجابية للطفل نحو استخدام التكنولوجيا، وتعزيز قيم الثقافة الإلكترونية ورفع وعي الطفل بمخاطر التعامل مع التكنولوجيا، وتنمية مهارات الطفل في مجال إدارة الذات والتعاون مع الآخرين. أما متطلبات تمكين الطفل موضوعياً فتشمل تسهيل امتلاك الطفل لوسائل التكنولوجيا الحديثة، وتضمين المقررات التعليمية مفاهيم الذكاء الاصطناعي والنانو تكنولوجي.