bluuebunny/crossref_metadata_2025_split huggingface dataset:
Humans flexibly use visual priors to optimize their haptic exploratory behavior
Authors: Jeschke Michaela , Zoeller Aaron C. , Drewing Knut 
Published: June 2024

AbstractHumans can use prior information to optimize their haptic exploratory behavior. Here, we investigated the usage of visual priors, which mechanisms enable their usage, and how the usage is affected by information quality. Participants explored different grating textures and discriminated their spatial frequency. Visual priors on texture orientation were given each trial, with qualities randomly varying from high to no informational value. Adjustments of initial exploratory movement direction orthogonal to the textures’ orientation served as an indicator of prior usage. Participants indeed used visual priors; the more so the higher the priors’ quality (Experiment 1). Higher task demands did not increase the direct usage of visual priors (Experiment 2), but possibly fostered the establishment of adjustment behavior. In Experiment 3, we decreased the proportion of high-quality priors presented during the session, hereby reducing the contingency between high-quality priors and haptic information. In consequence, even priors of high quality ceased to evoke movement adjustments. We conclude that the establishment of adjustment behavior results from a rather implicit contingency learning. Overall, it became evident that humans can autonomously learn to use rather abstract visual priors to optimize haptic exploration, with the learning process and direct usage substantially depending on the priors’ quality.
A study of the evolutionary game of carbon offset involving tourism stakeholders under incentive and constraint mechanisms
Authors: Li Qianna , Xiong Changjiang , Yao Juan 
Published: June 2024

AbstractTourism carbon offsetting is a crucial pathway to achieving peak carbon and carbon neutrality in the tourism industry. Accurately grasping the collaborative evolutionary mechanisms among local governments, tourism enterprises, and tourists is key to promoting the implementation of tourism carbon offsetting. By constructing an evolutionary game model involving local governments, tourism enterprises, and tourists in carbon offsetting, this study uses MATLAB to simulate the evolutionary stable strategies under various conditions. Additionally, it dynamically simulates the collaborative strategies of the three parties under the influence of local government incentive and constraint mechanisms. The results indicate that under strong governmental constraint mechanisms, there is a promotion of active participation in carbon offsetting by local governments, tourism enterprises, and tourists. Incentive policies at certain levels also play a positive guiding role. As incentives increase, local subsidies and intervention costs also rise, leading to an evolution towards less enthusiastic participation among the three parties. Appropriately balanced government incentives and penalties are beneficial in achieving an equilibrium of benefits among multiple stakeholders involved in carbon offsetting, thus helping to attain carbon neutrality goals.
Mineral accumulation, relative water content and gas exchange are the main physiological regulating mechanisms to cope with salt stress in barley
Authors: Boussora Faiza , Triki Tebra , Bennani Leila , Bagues Mohamed , Ben Ali Sihem , Ferchichi Ali , Ngaz Kamel , Guasmi Ferdaous 
Published: June 2024

AbstractSalinity has become a major environmental concern for agricultural lands, leading to decreased crop yields. Hence, plant biology experts aim to genetically improve barley’s adaptation to salinity stress by deeply studying the effects of salt stress and the responses of barley to this stress. In this context, our study aims to explore the variation in physiological and biochemical responses of five Tunisian spring barley genotypes to salt stress during the heading phase. Two salinity treatments were induced by using 100 mM NaCl (T1) and 250 mM NaCl (T2) in the irrigation water. Significant phenotypic variations were detected among the genotypes in response to salt stress. Plants exposed to 250 mM of NaCl showed an important decline in all studied physiological parameters namely, gas exchange, ions concentration and relative water content RWC. The observed decreases in concentrations ranged from, approximately, 6.64% to 40.76% for K+, 5.91% to 43.67% for Na+, 14.12% to 52.38% for Ca2+, and 15.22% to 38.48% for Mg2+ across the different genotypes and salt stress levels. However, under salinity conditions, proline and soluble sugars increased for all genotypes with an average increase of 1.6 times in proline concentrations and 1.4 times in soluble sugars concentration. Furthermore, MDA levels rose also for all genotypes, with the biggest rise in Lemsi genotype (114.27% of increase compared to control). Ardhaoui and Rihane showed higher photosynthetic activity compared to the other genotypes across all treatments. The stepwise regression approach identified potassium content, K+/Na+ ratio, relative water content, stomatal conductance and SPAD measurement as predominant traits for thousand kernel weight (R2 = 84.06), suggesting their significant role in alleviating salt stress in barley. Overall, at heading stage, salt accumulation in irrigated soils with saline water significantly influences the growth of barley by influencing gas exchange parameters, mineral composition and water content, in a genotype-dependent manner. These results will serve on elucidating the genetic mechanisms underlying these variations to facilitate targeted improvements in barley's tolerance to salt stress.
A novel role for the peptidyl-prolyl cis-trans isomerase Cyclophilin A in DNA-repair following replication fork stalling via the MRE11-RAD50-NBS1 complex
Authors: Bedir Marisa , Outwin Emily , Colnaghi Rita , Bassett Lydia , Abramowicz Iga , O’Driscoll Mark 
Published: June 2024

AbstractCyclosporin A (CsA) induces DNA double-strand breaks in LIG4 syndrome fibroblasts, specifically upon transit through S-phase. The basis underlying this has not been described. CsA-induced genomic instability may reflect a direct role of Cyclophilin A (CYPA) in DNA repair. CYPA is a peptidyl-prolyl cis-trans isomerase (PPI). CsA inhibits the PPI activity of CYPA. Using an integrated approach involving CRISPR/Cas9-engineering, siRNA, BioID, co-immunoprecipitation, pathway-specific DNA repair investigations as well as protein expression interaction analysis, we describe novel impacts of CYPA loss and inhibition on DNA repair. We characterise a direct CYPA interaction with the NBS1 component of the MRE11-RAD50-NBS1 complex, providing evidence that CYPA influences DNA repair at the level of DNA end resection. We define a set of genetic vulnerabilities associated with CYPA loss and inhibition, identifying DNA replication fork protection as an important determinant of viability. We explore examples of how CYPA inhibition may be exploited to selectively kill cancers sharing characteristic genomic instability profiles, including MYCN-driven Neuroblastoma, Multiple Myeloma and Chronic Myelogenous Leukaemia. These findings propose a repurposing strategy for Cyclophilin inhibitors.
Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture
Authors: Modirrousta Mohammad Hossein , Forghani Arani Parisa , Kazemi Reza , Aliyari‐Shoorehdeli Mahdi 
Published: June 2024

AbstractTo gain access to networks, various intrusion attack types have been developed and enhanced. The increasing importance of computer networks in daily life is a result of our growing dependence on them. Given this, it is glaringly obvious that algorithmic tools with strong detection performance and dependability are required for a variety of attack types. The objective is to develop a system for intrusion detection based on deep reinforcement learning. On the basis of the Markov decision procedure, the developed system can construct patterns appropriate for classification purposes based on extensive amounts of informative records. Deep Q‐Learning (DQL), Soft DQL, Double DQL, and Soft double DQL are examined from two perspectives. An evaluation of the authors’ methods using UNSW‐NB15 data demonstrates their superiority regarding accuracy, precision, recall, and F1 score. The validity of the model trained on the UNSW‐NB15 dataset was also checked using the BoT‐IoT and ToN‐IoT datasets, yielding competitive results.
A peer‐to‐peer joint energy and reserve market considering renewable generation uncertainty: A generalized Nash equilibrium approach
Authors: Chen Xiupeng , Wang Lu , Jiang Yuning , Wang Jianxiao 
Published: June 2024

AbstractPeer‐to‐peer energy trading enhances distribution network resilience by reducing energy demand from central power plants and enabling distributed energy resources to support critical loads after extreme events. However, adequate reserves from main grids are still required to ensure real‐time energy balance in distribution networks due to the uncertainty in renewable generation. This paper introduces a novel two‐stage joint energy and reserve market for prosumers, wherein local flexible resources are fully utilized to manage renewable generation uncertainty. In contrast to cooperative optimization methods, the interactions between prosumers are modelled as a generalized Nash game, considering that prosumers are self‐interested and should follow distribution network constraints. Then, linear decision rules are employed to ensure a feasible market equilibrium and develop a privacy‐preserving algorithm to guide prosumers the market equilibrium with a proven convergence. Finally, the numerical study on a modified IEEE 33‐power system demonstrates that the designed market effectively manages renewable generation uncertainty, and that the algorithm converges to the market equilibrium.
Service capability evaluation of electric vehicle charging and battery swapping stations: A game theory‐based combination weighting method
Authors: Wu Chuanshen , Shi Qianyun , Gao Shan , Wang Yan 
Published: June 2024

AbstractThe rapid development of electric vehicles (EVs) has made the construction and service capability evaluation of EV charging and battery swapping stations (CBSSs) more important. A comprehensive evaluation indicator system for the service capability evaluation of EV‐CBSSs is established, meticulously outlining the critical aspects of operational efficiency, economy, convenience, and reliability, each with multiple indicators for thorough assessment. To address the shortcomings of individual evaluation methods in evaluating the service capability of EV‐CBSSs, the game theory‐based combination weighting (GTCW) method is adopted, which integrates the advantages of the analytic hierarchy process method, entropy weight method, and grey relation analysis method. Specifically, the weights for each indicator are obtained separately using these three evaluation methods, and then combined using the GTCW method to calculate the final weights. In case studies, the service capability for each EV‐CBSS is calculated and compared between these three individual methods and the proposed GTCW method. Simulation results validate that the proposed evaluation indicator system and GTCW method can offer a more comprehensive evaluation of the service capability for EV‐CBSSs, providing guiding suggestions for future construction plans.
Limosilactobacillus reuteri DSM 17938 Inhibition of Biofilm Formation by Prevotella intermedia and Fusobacterium nucleatum Across Salivary pH: An In Vitro Study
Authors: Ananda Nissia , Julia Vera , Bachtiar Endang Winiati 
Published: June 2024

Abstract
Objectives This study aims to investigate Limosilactobacillus reuteri DSM 17938's antibiofilm effects on Prevotella intermedia and Fusobacterium nucleatum, common causes of alveolar osteitis. It seeks topical alternatives to prevent this condition posttooth extraction. The secondary objective is to assess these effects under different pH conditions (pH 4.5 and pH 7), mimicking oral cavity saliva pH dynamics.
Materials and Methods Ethical approval was secured for the saliva collection process involving five healthy adult participants who had undergone wisdom tooth extraction. Saliva samples were diligently collected on the 7th day post-surgery. The unstimulated saliva underwent a series of treatments, including the addition of phenylmethylsulfonyl fluoride (PMSF), pH adjustments, centrifugation, and filtration. The pH levels were re-measured, and subsequent adjustments were made to achieve pH values of 4.5 or 7. Limosilactobacillus reuteri DSM 17938, with a concentration of 1×108 colony-forming units (CFU) per 5 drops, was utilized in the study. Biofilm testing involved incubating saliva samples with varying pH (4.5 or 7) alongside bacterial suspensions (Prevotella intermedia, Fusobacterium nucleatum, or a mixed species). The Interlac suspension was introduced, and plates were anaerobically incubated for 24 hours. Biofilm results were obtained using a spectrometer. The test is conducted in triplicate.
Statistical Analysis To scrutinize the impact of pH on biofilm development, the acquired data underwent a two-way ANOVA test in SPSS as part of the statistical analysis. A significance level of p<0.05 was used to determine statistical significance.
Results Limosilactobacillus reuteri DSM 17938 significantly reduced biofilm formation across bacterial strains (p = 0.000). Statistical analysis indicated a significant impact of pH on biofilm development (p = 0.000) compared to no saliva samples, with higher formation observed under acidic conditions (pH 4.5). However, the pH levels of 4.5 and 7 did not result in significantly different bacterial biofilm formation (p = 0.529).
Conclusion This research highlights Limosilactobacillus reuteri DSM 17938's potency in inhibiting biofilm formation of Prevotella intermedia and Fusobacterium nucleatum. Salivary pH variations significantly influence biofilm development, emphasizing the need to consider pH when assessing probiotic effectiveness. Despite limitations in saliva sample sterilization, this study provides valuable insights into alternative approaches for preventing alveolar osteitis. Further research should explore clinical applications and refine sterilization methods for more accurate results.
Māori loanwords in New Zealand English
Authors: Calude Andreea S. , Zenner Eline , Rosseel Laura , Whaanga Hēmi 
Published: June 2024

Abstract
The Indigenous language of ANZ, Māori is undergoing significant revitalisation, following severe loss of vitality
caused by English colonialism. One dimension to this revitalisation is the normalising of borrowings from Māori into New Zealand
English (NZE). However, there are currently no empirical studies of adults’ naming patterns for concepts that can be lexicalised
by Māori words in NZE. We report on a picture-naming experiment in which 48 participants are asked to name a set of target and
control pictures depicting everyday concepts from three semantic categories which involve Māori borrowings: flora/fauna,
people/places, material culture. Following a background questionnaire, we group participants into three categories, depending on
their orientation towards Māori language and culture. Results suggest a clear association between participant orientation and
their use of Māori loanwords. Alternative interpretations are discussed, including questions for future research on the
relationship between NZE lexical variation and language planning.
Comparison of the density and composition of bacteria and fungi in the air of anoxic and aeration tanks in the wastewater treatment plant
Authors: Nga Dang Diep Yen , Gam Nguyen Thi Hong , Minh Tran Hoang , Hien To Thi 
Published: June 2024

Abstract
The bioaerosols from the wastewater treatment plant can be propagated into the air, affecting the health of residents, animals, and plants around the area. This study was conducted to evaluate the density and composition of bioaerosols (bacteria and fungi) in anoxic and aeration tanks of a domestic wastewater treatment plant. Bioaerosol samples were taken by the active method with SKC Biostage. The agar dishes were placed at a height of 1.5 m above the ground. After sample collection, the dishes were incubated at 37 ±1 °C for 24h-48h for bacteria and at 25 ±1 °C for 72h-120h for fungi. Then, these microorganisms were identified by 16S rRNA (16S Metabarcoding) method for bacteria and taxonomy method for fungi. The results showed that the density of bacteria and mold in the anoxic tank ranged from 233.2 ±7.8 to 339.2 ±13.9 CFU/m3 and 91.8 ±3.2 to 197.9 ±10.1 CFU/m3, respectively. Meanwhile, bacterial and mold densities of aeration tank ranged from 275.6 ±10.4 to 424.0 ±17.3 CFU/m3 and 176.7 ±5.8 to 254.4 ±12.1 CFU/m3, respectively. The density of bacteria and mold in the aeration tank is higher than in the anoxic tank. On the other hand, the 16S Metabarcoding analysis for the microbial diversity detects more than 100 species in two tanks, the predominant bacterial species are: Bacillus megaterium (B. megaterium), Bacillus cereus (B. cereus), Staphylococcus sciuri (S. sciuri) and two common fungi Aspergillus tamarii (A. tamarii), and Penicillium rubers (P. rubers). This preliminary survey in Viet Nam reveals the existence and diversity of bioaerosols in the air from the biological treatment tanks of the wastewater treatment plant.
Assessing the invasive potential of Hydrocharis dubia (Blume) Backer in U Minh Thuong National Park, Vietnam
Authors: Tran Q D , Le B T , Pham Q H , Nguyen T L T 
Published: June 2024

Abstract
Eco-physiological characteristics of Hydrocharis dubia (Blume) Backer in the U Minh Thuong National Park (UMTNP) were surveyed from April 2022 to May 2023 to assess its invasive potential risk. Thirty-six four-square-meter plots (4m x 1m) were established along the canals in the core zone to determine the coverage of H. dubia and other hydrophytes, which were used to calculate the Importance Value Index (IVI%) and Shannon-Wiener index (H’). PSII Maximum quantum efficiency (Fv/Fm), Performance Index (PIabs), and Chlorophyll concentration (Chl) in leaves were measured to assess photosynthetic efficiency. The IVI indices showed that Pistia stratiotes L. and H. dubia were the most and second dominant species in the hydrophytic plant community, respectively. However, the photosynthetic activity of H. dubia was significantly higher than that of P. stratiotes. The Fv/Fm (0.830-0.842) of H. dubia were stable during the study period. The higher value of PIabs in the wet season (2.293 ± 0.191) compared to the dry season (1.402 ± 0.105) indicated that H. dubia’s growth was favored in this period. The eco-physiological characteristics of H. dubia claim its high photosynthetic activity, which can be considered an early warning of the species’ spread in the UMTNP, although it is currently suppressed by P. stratiotes.
Assessing impact of sluice gate operation on salinity intrusion in Ho Chi Minh City
Authors: Danh Vo Thanh , Linh Do Quang , Thuy Nguyen Thi Diem 
Published: June 2024

Abstract
This study aims to evaluate salinity intrusion propagation in Ho Chi Minh City under the operation of six tidal sluice gates, namely, Ben Nghe, Tan Thuan, Phu Xuan, Muong Chuoi, Cay Kho, and Phu Dinh by utilizing the HEC-RAS model. The outcomes during calibration and validation procedures underscore the high performance of the HEC-RAS model in simulating salinity intrusion over the study area. In particular, R2 and NSE values were higher than satisfactory thresholds of 0.80 for water level and discharge simulations and 0.50 for salinity concentration simulations. Based on the calibrated HEC-RAS model, this study examined the potential influences of sluice gate operations on salinity distribution under different scenarios. Results indicate that salinity concentration would exhibit increasing trends when operating Ben Nghe and Tan Thuan sluices, while the closure of the Phu Xuan and Muong Chuoi sluices would cause a reduction in the salinity concentration within the areas enclosed by these sluices. In addition, the operations of the Cay Kho and Phu Dinh sluices would lead to decreases and increases in salinity concentration in the upstream and downstream areas of each corresponding sluice gate, respectively. Moreover, when closing six sluice gates simultaneously, the salinity concentration inside and outside the sluice gates would decrease and increase, respectively. In general, these findings indicate that salinity concentration and spatial distribution are significantly influenced by the location and structure of each tidal sluice gate.
Evaluating and predicting coastal shoreline changes in the Doi Duong - Phan Thiet beach area by remote sensing and GIS technology
Authors: Thi My Diem Phung , Thi Kim Tran , Thuy Linh Phan , Nguyen Ky Phung , Thi Bay Nguyen 
Published: June 2024

Abstract
Assessing the shoreline variability is paramount in understanding the erosion and coastal accretion processes. The potential impact of erosion on coastal communities, particularly in coastal regions, amplifies the vulnerability to coastal disasters. In this study, Landsat satellite imagery captured from 1990 to 2022 was utilized, in conjunction with Geographic Information System (GIS), to scrutinize alterations in the shoreline of Doi Duong Beach - Phan Thiet. The satellite images were independently processed using aspect-ratio methods and thresholding techniques to determine the prevailing condition of the coastline. The rate of shoreline change was quantified using the DSAS tool. The investigation’s findings reveal a dynamic interplay between erosion and accretion, with accretion dominance explicitly evident within the areas surrounding the Ca Ty - Phu Hai river mouth. The average annual shoreline change rate is 27.1 m/yr for the Ca Ty River mouth and 16.5 m/yr for the Phu Hai River mouth. The most significant disparity between the recorded coastline in 1990 and 2022 measures 868 m. Additionally, the projections for the coastline until 2032 indicate that accretion remains the dominant process. This research shows that combining geospatial techniques and numerical models is a reliable way to study shoreline change trends.
Proposed solutions for grapes development in Ninh Thuan by Fuzzy-ANP-SWOT
Authors: Tuan Nguyen Hoang , Canh Truong Thanh 
Published: June 2024

Abstract
Ninh Thuan is one of the extremely dry regions in Vietnam, and choosing farming solutions in the agricultural sector is one of the top priorities. Research chooses grapes to propose solutions for development in drought because this is considered one of the local staple crops. The study used a multi-criteria decision-making method (MCDM) with a combination of Fuzzy Analytic Network Processes (Fuzzy - ANP). Through the study of published documents and surveys, the study has identified 24 factors belonging to four groups: natural, economic, social and policy and total as a SWOT matrix. Through the Fuzzy ANP model and expert assessment, the research has proposed eight strategies, and the study identified priority strategies for the sustainable development of vines in Ninh Thuan. The results are ranked as follows: WO2 (0.162), ST1 (0.148), WO1 (0.137), SO2(0.124), WT2(0.128), ST2 (0.122), WT1(0.119) and SO1 (0.059). Research results are the basis for helping local governments have more quantitative decision-making tools, thereby helping proposed solutions to be more objective and suitable to the actual situation.