bluuebunny/crossref_metadata_2025 huggingface dataset:
Back in the Driver’s Seat: How New EU Greenhouse-Gas Reporting Schemes Challenge Corporate Accounting
Authors: Baehr Julian , Zenglein Florian , Sonnemann Guido , Lederer Markus , Schebek Liselotte
Published: April 2024

Greenhouse-gas (GHG) reporting schemes for companies are increasingly part of climate-mitigation policies worldwide. Notably, the European Green Deal (2019) boosts new public regulations that oblige companies to compile GHG emission inventories, i.e., account for their emissions in a given system boundary. Along with this boost, the workload for companies increases; at the same time, the quality of reporting is questioned. Given the overarching goal to improve companies’ climate-mitigation performance, the quality of reporting is inseparably connected to the quality of the respective accounting. However, the literature discusses carbon accounting as a universal umbrella term focusing on managerial issues, thus disregarding the crucial role of accounting methodologies in the sense of calculation approaches. In this publication, we apply an analytical approach introducing a clear differentiation between the task of quantitatively accounting for GHG inventories and the task of reporting results from calculated inventories in response to stakeholder or policy expectations. We use this approach to investigate European GHG reporting schemes and related GHG accounting methodologies in detail. Our findings indicate that the current phase of the European Green Deal depicts a quantitative growth in reporting schemes and a significant qualitative change by shifting from formerly voluntary to mandatory reporting schemes, along with the application of accounting methodologies originally not intended for politically compulsory purposes. We analyze the consequences of this shift, which poses new challenges for companies and policymakers, i.e., data-management concepts and refined methodological frameworks.
DSADNet: A Dual-Source Attention Dynamic Neural Network for Precipitation Nowcasting
Authors: Yao Jinliang , Ji Junwei , Wang Rongbo , Huang Xiaoxi , Kang Zhiming , Zhuang Xiaoran
Published: April 2024

Accurate precipitation nowcasting is of great significance for flood prevention, agricultural production, and public safety. In recent years, spatiotemporal sequence models based on deep learning have been widely used for precipitation nowcasting and have achieved better prediction results than traditional methods. These models commonly use radar echo extrapolation and utilize the Z-R relationship between radar and rainfall to predict rainfall. However, radar echo data can be affected by various noises, and the Z-R correlation linking radar and rainfall encompasses several variables influenced by factors like terrain, climate, and seasonal variations. To solve this problem, we propose a dual-source attention dynamic neural network (DSADNet) for precipitation nowcasting, which is a network model that utilizes a fusion module to extract valid information from radar maps and rainfall maps, together with dynamic convolution and the attention mechanism, to directly predict future rainfall through encoding and decoding structure. We conducted experiments on a real dataset in Jiangsu, China, and the experimental results show that our model had better performance than the other examined models.
A Supply Chain Coordination Optimization Model with Revenue Sharing and Carbon Awareness
Authors: Kumari Nistha , Rajoria Yogendra Kumar , Chauhan Anand , Singh Satya Jeet , Singh Anubhav Pratap , Sharma Vineet Kumar
Published: April 2024

The present study explores the impact of carbon emissions on supply chain coordination, where the supply chain entities are a retailer and a distributor. The study also involves two types of systems, namely centralized and decentralized. A centralized system computes the profit of the entire supply chain, including the profit of a retailer and a distributor, using the traditional optimization technique. In contrast, a decentralized system computes the profit of both a retailer and a distributor independently and uses the Stackelberg sequence for profit optimization. According to the Stackelberg sequence, one entity is considered a leader and the other a follower. When the profit in both systems is compared, it is found to be higher in the centralized system. So, to coordinate the system, a revenue-sharing contract is applied to coordinate the supply chain under a stock–time–price-sensitive demand rate. Finally, a carbon emission cost is implemented to the profits of both systems to make the model more sustainable. The main objective of the research is to optimize the profit of the supply chain by considering the concept of revenue-sharing contracts and making the system more sustainable through the implementation of carbon emission cost. The overall study concludes that the revenue-sharing fraction ‘δ’ helps in coordinating the system and 0.4 is the value of the revenue-sharing fraction ‘δ’ that perfectly coordinates the system. Due to this coordination, both the parties will gain profit, i.e., retailer and distributor, and this whole phenomenon increases the profit of the supply chain. A sensitivity analysis is also performed to check the stability of the model, and the model is found to be quite stable. A numerical example is illustrated, providing the result of the model.
The Implications of the Spillover Effect Related to Green Co-Creation in a Supply Chain
Authors: Kong Weijia , Shao Yunfei , Wang Simeng , Yan Wei , Liu Yawen
Published: April 2024

Driven by environmental concerns, firms close to end-users are increasingly co-creating with customers for green product development within their supply chains. However, a challenge called “spillover” can hinder the incentive for green co-creation by these firms. This paper examines the spillover issue in a dual-channel structure, where downstream firms implement co-creation with customers for green product development. Our findings indicate that spillover from green investments can negatively impact the investing firm’s profits. However, in low-competition scenarios, spillover benefits the supplier and customers within the supply chain. Additionally, under specific circumstances, it can improve overall supply chain performance. Crucially, to safeguard the sustainability of green co-creation in supply chains and prevent detrimental co-destruction, we propose implementing revenue-sharing contracts that can generate Pareto improvements, benefiting all green supply chain members. As a result, unlike traditional intellectual property protection, which hinders spillover, this study offers an alternative strategy that is also somewhat complementary, promoting collaboration over restrictions to leverage the positive aspects of spillover.
Techno-Eco-Efficiency Assessment of Using Recycled Steel Fibre in Concrete
Authors: Biswas Wahidul K. , Zhang Xihong , Matters Corey , Maboud Mitra
Published: April 2024

The steel industry is one the three biggest producers of carbon dioxide and it is experiencing technical challenges due to the gradual decrease in the quality of iron ore. Steel is extensively used in the construction industry for structural applications like steel components, while steel fibres are intensively used as additives to concrete in order to improve its performance. It is thus important to consider the use of recycled steel as a replacement for virgin steel in order to address the aforementioned environmental consequences. This paper applies the eco-efficiency framework to determine the economic and environmental implications of the use of recycled fibre in concrete as a replacement for virgin steel. A number of concrete mixes were considered that used virgin, recycled, and treated recycled rebar in concrete. The eco-efficiency framework, which uses a life-cycle assessment approach to calculate the environmental and economic values of concrete mixes in order to determine the portfolio positions of these concrete mixes, was used for comparison purposes and to establish the eco-efficient option(s). Whilst the recovery and recycling process is energy-intensive, the use of recycled steel fibre in reinforced concrete has been found to be eco-efficient and deliver the same level of mechanical performance compared to that obtained using virgin steel fibre. Treating steel fibre could improve its technical performance, but it was found to increase both costs and environmental impacts and was therefore identified as not being eco-efficient.
The Role of User-Generated Content in the Sustainable Development of Online Healthcare Communities: Exploring the Moderating Influence of Signals
Authors: Yu Xiaodan , Wang Hongyang , Chen Zhenjiao
Published: April 2024

Grounded in signaling theory, this study explores the influence of user-generated content (UGC) within online healthcare communities on patient purchasing behavior, with the overarching goal of advancing the development of online medical consultation services and contributing to the sustainable evolution of the online healthcare community. Leveraging publicly available data from the “Haodf.com”, we construct an empirical model of online medical consultation purchases, integrating principles from signaling theory and trust theory. Our analysis scrutinizes the effects of various forms of UGC on patient purchasing behavior, alongside the moderating influence of associated signals. The results demonstrate that knowledge-sharing articles authored by doctors and patient ratings positively impact consultation service purchases, whereas public displays of doctors’ past consultation records impede such transactions. Furthermore, external signals were found to moderate the relationship between UGC and consultation service purchases. The implications of these findings offer actionable insights for stakeholders invested in online healthcare communities.
Association of Metal Exposure with Novel Immunoinflammatory Indicators
Authors: Zhao Lingxiao , Chen Xieyi , Chen Zhongwen , Yang Cantao , Huang Qiang , Cheng Shuqun
Published: April 2024

Objective: We aimed to investigate the relationship between metal exposure and novel immunoinflammatory indicators. Methods: Data on adults participating in the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2018 were analyzed. Various statistical models were employed to assess the association between metal exposure and novel immune-inflammation-related indicators. Additionally, the impact of metal exposure on inflammation in different gender populations was explored. Results: This study included 4482 participants, of whom 51.1% were male. Significant correlations were observed among various metals. Both elastic net (ENET) and linear regression models revealed robust associations between cadmium (Cd), cobalt (Co), arsenic (As), mercury (Hg), and immunoinflammatory indicators. Weighted quantile sum (WQS) and Quantile g-computation (Q-gcomp) models demonstrated strong associations between barium (Ba), Co, and Hg and immunoinflammatory indicators. Bayesian kernel machine regression (BKMR) analysis indicated an overall positive correlation between in vivo urinary metal levels and systemic inflammation response index (SIRI) and aggregate index of systemic inflammation (AISI). Furthermore, Co, As, and Hg emerged as key metals contributing to changes in novel immunoinflammatory indicators. Conclusions: Metals exhibit associations with emerging immunoinflammatory indicators, and concurrent exposure to mixed metals may exacerbate the inflammatory response. Furthermore, this relationship varies across gender populations.
Decadal Trends in Ambient Air Pollutants and Their Association with COPD and Lung Cancer in Upper Northern Thailand: 2013–2022
Authors: Sapbamrer Pachara , Assavanopakun Pheerasak , Panumasvivat Jinjuta
Published: April 2024

Air pollution in upper northern Thailand raises health concerns. This study examined trends and associations between air pollutants and respiratory diseases, focusing on COPD and lung cancer during haze (December–May) and non-haze (June–November) seasons in upper northern Thailand from 2013 to 2022. This study utilized data from the Pollution Control Department and Chiang Mai Provincial Public Health. The key air pollutants included PM10, PM2.5, SO2, NO2, CO, and O3. Respiratory disease data included fatality rates for lung cancer and COPD and the re-admission rate for COPD. Results indicated peak air pollutant levels and COPD re-admission rates in March, with PM2.5 concentrations exceeding air quality standards from January to April. During haze periods, COPD fatality and re-admission rates significantly increased (mean difference: 0.43 and 4.23 per 1000-case population, respectively; p < 0.001), while lung cancer fatality rates were higher without statistical significance. Pearson correlation analysis found positive correlations between PM10, PM2.5, O3, and NO2 concentrations and COPD re-admission and fatality rates at 0–1 month lag times, with a declining trend observed at subsequent lag intervals of 2 to 3 months. Overall, this study highlights the predictable pattern of air pollution in the region, correlating with higher COPD fatality and re-admission rates.
An Investigation of the Loop Oscillations after a Solar Flare
Authors: Xu Jun , Ning Zongjun , Li Dong , Shi Fanpeng , Song Yuxiang , Yang Yuzhi
Published: April 2024

We study the loop oscillations after a solar flare on 19 January 2023, in the active region N11E40 3196, which is well observed by the SDO/AIA. After tracing the loop position and fitting, we find that the loop oscillations have a period between 3 and 9 min at various locations, such as from the leg to the top or from the inner to the outer loop. Their oscillating amplitudes decrease with time. Two loops display the position oscillation simultaneously with their brightness oscillation. After the analysis of the differential emission measure (DEM), we find that two of their loop position oscillations resulted from the plasma density fluctuation. Meanwhile, it is interesting that the brightness of these two position oscillations displays a typical period of about 4 min, similar to that of the position oscillation. This is possible due to both the plasma density and temperature fluctuation there. Our findings provide the physical clues for studying and understanding the mechanism of the loop position and brightness oscillations.
Antimicrobial Susceptibility Profiles of Pasteurella multocida Isolates from Clinical Cases of Waterfowl in Hungary between 2022 and 2023
Authors: Kerek Ádám , Szabó Ábel , Jerzsele Ákos
Published: April 2024

The waterfowl industry represents a narrow, yet economically significant, sector within the poultry industry. Although less prominent, the waterfowl sector is nonetheless of equal importance to any other livestock sector in terms of antimicrobial resistance and animal health issues. This study assesses the antimicrobial resistance profile of Pasteurella multocida bacterial strains isolated from clinical cases in Hungary’s duck and goose populations, determining the minimal inhibitory concentration (MIC) of 27 samples collected from 15 different locations. The results indicate that the isolated strains were susceptible to most antibiotics, except for notable resistance to enrofloxacin. These findings support that Pasteurella multocida largely retained its susceptibility. However, the observed resistance to enrofloxacin suggests overuse of fluoroquinolones, which indicates the potential need for stricter regulation of their use in the poultry industry.
ESBL-Producing Enterobacterales at the Human–Domestic Animal–Wildlife Interface: A One Health Approach to Antimicrobial Resistance in Piauí, Northeastern Brazil
Authors: da Silva Sandy Kelly S. M. , Fuentes-Castillo Danny A. , Ewbank Ana Carolina , Sacristán Carlos , Catão-Dias José L. , Sevá Anaiá P. , Lincopan Nilton , Deem Sharon L. , Feitosa Lauro C. S. , Catenacci Lilian S.
Published: April 2024

The use, misuse, and overuse of antimicrobials is one of the main public health threats of the 21st century. We investigated the risk factor of the presence of extended-spectrum, cephalosporin-resistant Enterobacterales in feces of non-domestic and domestic birds and other domestic animals in Piauí State, northeast Brazil. We collected a total of 387 cloacal and rectal swab samples of free-living birds, domestic birds, and domestic mammals in five municipalities: Amarante, Água Branca, Lagoa Alegre, Parnaíba, and Teresina. A total of 59/387 (15.2%) of these samples harbored extended spectrum beta-lactamase (ESBL)-producing Enterobacterales. Using the MALDI-TOF technique, we identified fifty-seven samples as Escherichia coli and two samples as Klebsiella pneumoniae. Teresina and Parnaíba had the highest prevalence of animals with resistant bacteria (32.1% and 27.1%, respectively) and highest exposure risk factor (OR of 16.06 and 8.58, respectively, and p < 0.001 for all). Multidrug-resistant, ESBL-producing Enterobacterales were observed in 72.8% of the samples (43/59). For the free-living birds, the positive samples belonged to a great kiskadee (Pitangus sulphuratus) and a semipalmated sandpiper (Calidris pusilla) in migratory and resident species, respectively. For domestic animals, the swine samples showed the highest prevalence of antimicrobial resistance. The lack of access to veterinary care and information regarding antimicrobial therapy, along with the easy access to antimicrobials without medical prescription, favors the inadequate use of antimicrobials in Piauí.
The Effect of Metronidazole versus a Synbiotic on Clinical Course and Core Intestinal Microbiota in Dogs with Acute Diarrhea
Authors: Stübing Helene , Suchodolski Jan S. , Reisinger Andrea , Werner Melanie , Hartmann Katrin , Unterer Stefan , Busch Kathrin
Published: April 2024

The usefulness of antibiotics in dogs with acute diarrhea (AD) is controversial. It is also unclear what effect metronidazole has on potential enteropathogens such as Clostridium perfringens and Escherichia coli. Thus, the aim of this study was to evaluate the effect of metronidazole vs. a synbiotic on the clinical course and core intestinal bacteria of dogs with AD. Twenty-seven dogs with AD were enrolled in this prospective, randomized, blinded clinical trial and treated with either metronidazole (METg) or a synbiotic (SYNg; E. faecium DSM 10663; NCIMB 10415/4b170). The Canine Acute Diarrhea Severity (CADS) index was recorded daily for eleven days. Bacteria were quantified using qPCR. Data were analyzed using mixed models with repeated measures. A higher concentration of E. coli was observed in the METg group vs. the SYNg group on Day 6 (p < 0.0001) and Day 30 (p = 0.01). Metronidazole had no effect on C. perfringens. C. hiranonis was significantly lower in the METg group than in the SYNg group on Days 6 and 30 (p < 0.0001; p = 0.0015). No significant differences were observed in CADS index, fecal consistency, or defecation frequency between treatment groups (except for the CADS index on one single day). In conclusion, metronidazole negatively impacts the microbiome without affecting clinical outcomes. Thus, synbiotics might be a preferred treatment option for dogs with AD.
Less Is More: Higher-Skilled Sim Racers Allocate Significantly Less Attention to the Track Relative to the Display Features than Lower-Skilled Sim Racers
Authors: Joyce John M. , Campbell Mark J. , Hojaji Fazilat , Toth Adam J.
Published: April 2024

Simulated (sim) racing is an emerging esport that has garnered much interest in recent years and has been a relatively under-researched field in terms of expertise and performance. When examining expertise, visual attention has been of particular interest to researchers, with eye tracking technology commonly used to assess visual attention. In this study, we examined the overt visual attention allocation of high- and low-skilled sim racers during a time trial task using Tobii 3 glasses. In the study, 104 participants were tested on one occasion, with 88 included in the analysis after exclusions. Participants were allocated to either group according to their fastest lap times. Independent t-tests were carried out with sidak corrections to test our hypotheses. Our results indicate that when eye tracking metrics were normalised to the lap time and corner sector time, there was a difference in the relative length of overt attention allocation (fixation behaviour) as lower-skilled racers had significantly greater total fixation durations in laps overall and across corner sectors when normalised (p = 0.013; p = 0.018). Interestingly, high- and low-skilled sim racers differed in where they allocated their attention during the task, with high-skilled sim racers allocating significantly less overt attention to the track relative to other areas of the display (p = 0.003). This would allow for higher-skilled racers to obtain relatively more information from heads-up display elements in-game, all whilst driving at faster speeds. This study provides evidence that high-skilled sim racers appear to need significantly less overt attention throughout a fast lap, and that high- and low-skilled sim racers differ in where they allocate their attention while racing.
Forecasting the River Water Discharge by Artificial Intelligence Methods
Authors: Bărbulescu Alina , Zhen Liu
Published: April 2024

The management of water resources must be based on accurate models of the river discharge in the context of the water flow alteration due to anthropic influences and climate change. Therefore, this article addresses the challenge of detecting the best model among three artificial intelligence techniques (AI)—backpropagation neural networks (BPNN), long short-term memory (LSTM), and extreme learning machine (ELM)—for the monthly data series discharge of the Buzău River, in Romania. The models were built for three periods: January 1955–September 2006 (S1 series), January 1955–December 1983 (S2 series), and January 1984–December 2010 (S series). In terms of mean absolute error (MAE), the best performances were those of ELM on both Training and Test sets on S2, with MAETraining = 5.02 and MAETest = 4.01. With respect to MSE, the best was LSTM on the Training set of S2 (MSE = 60.07) and ELM on the Test set of S2 (MSE = 32.21). Accounting for the R2 value, the best model was LSTM on S2 (R2Training = 99.92%, and R2Test = 99.97%). ELM was the fastest, with 0.6996 s, 0.7449 s, and 0.6467 s, on S, S1, and S2, respectively.
Definition of Exergetic Efficiency in the Main and Emerging Thermal Desalination Technologies: A Proposal
Authors: Arakcheeva El Kori Nenna , Blanco-Marigorta Ana M. , Melián Martel Noemi
Published: April 2024

Increasing attention is being given to reduce the specific energy consumption in desalination processes, which translates into greater use of exergy analysis. An exergetic analysis provides relevant information related to the influence of the efficiency of a single component in the global plant performance and in the exergy cost of the product. Therefore, an exergy analysis identifies the main improvement potentials in a productive thermodynamic process. Related to desalination technologies, many previous papers deal with the calculation of the parameters involved in the exergy analysis, the exergetic efficiency of different processes, plants, and technologies among them. However, different approaches for formulating the exergetic efficiency have been suggested in the literature, often without sufficient understanding and consistency. In this work, these formulations, applied to the main desalination components and processes, are compared and critically reviewed. Two definitions of exergy efficiency are applied to the desalination components of the three main thermal desalination processes (multieffect distillation–thermal vapour compression, multistage flash distillation, and direct-contact membrane distillation). The results obtained for the exergy efficiency of the MED-TVC, MSF, and DCMD processes for the input–output approach are 21.35%, 17.08%, and 1.28%, respectively, compared to the consumed–produced approach that presented 3.1%, 1.58%, and 0.37%, respectively. The consumed–produced approach seems to better fit the thermodynamic behaviour of thermal desalination systems.
Assessment of Groundwater Quality Using the Pollution Index of Groundwater (PIG), Nitrate Pollution Index (NPI), Water Quality Index (WQI), Multivariate Statistical Analysis (MSA), and GIS Approaches: A Case Study of the Mnasra Region, Gharb Plain, Morocco
Authors: Sanad Hatim , Mouhir Latifa , Zouahri Abdelmjid , Moussadek Rachid , El Azhari Hamza , Yachou Hasna , Ghanimi Ahmed , Oueld Lhaj Majda , Dakak Houria
Published: April 2024

Groundwater, an invaluable resource crucial for irrigation and drinking purposes, significantly impacts human health and societal advancement. This study aims to evaluate the groundwater quality in the Mnasra region of the Gharb Plain, employing a comprehensive analysis of thirty samples collected from various locations, based on thirty-three physicochemical parameters. Utilizing tools like the Pollution Index of Groundwater (PIG), Nitrate Pollution Index (NPI), Water Quality Index (WQI), Irrigation Water Quality Index (IWQI), as well as Multivariate Statistical Approaches (MSA), and the Geographic Information System (GIS), this research identifies the sources of groundwater pollution. The results revealed Ca2+ dominance among cations and Cl− as the primary anion. The Piper and Gibbs diagrams illustrated the prevalent Ca2+-Cl− water type and the significance of water–rock interactions, respectively. The PIG values indicated that 86.66% of samples exhibited “Insignificant pollution”. NPI showed notable nitrate pollution (1.48 to 7.06), with 83.33% of samples rated “Good” for drinking based on the WQI. The IWQI revealed that 80% of samples were classified as “Excellent” and 16.66% as “Good”. Spatial analysis identified the eastern and southern sections as highly contaminated due to agricultural activities. These findings provide valuable insights for decision-makers to manage groundwater resources and promote sustainable water management in the Gharb region.
Long-Term Changes in Water and Ion Flows of the Pechora River, the Longest Full-Water European Arctic River
Authors: Georgiadi Aleksandr G. , Danilenko Alesya O. , Groisman Pavel Y.
Published: April 2024

Long-term series of annual and seasonal water flow and major ions in the Pechora River were analyzed. Long-term phases of increased and decreased water flow were identified, ranging in duration from 11 to 49 years, and the major characteristics of these phases were determined. Changes in the sequence and boundaries of contrast phases in the annual and snowmelt spring–summer flood runoff were found to coincide. The difference between the mean seasonal water runoff during the phases of increased and decreased flow varied from 12 to 41%. The ion flow values of contrast phases typically differed by 9 to 36%, which is less than for water flow. This is due to the inverse dependence between ion concentrations and water discharge. Such peculiar negative feedback stabilizes the rates of chemical denudation in the river catchments to some extent and, thus, the discharge of major ions into seas, even during significant variations in water.
Prediction of Inland Excess Water Inundations Using Machine Learning Algorithms
Authors: Kajári Balázs , Tobak Zalán , Túri Norbert , Bozán Csaba , Van Leeuwen Boudewijn
Published: April 2024

Regularly, large parts of the agricultural areas of the Great Hungarian Plain are inundated due to excessive rainfall and insufficient evaporation and infiltration. Climate change is expected to lead to increasingly extreme weather conditions, which may even increase the frequency and extent of these inundations. Shallow “floods”, also defined as inland excess water, are phenomena that occur due to a complex set of interrelated factors. Our research presents a workflow based on active and passive satellite data from Sentinel-1 and -2, combined with a large auxiliary data set to detect and predict these floods. The workflow uses convolutional neural networks to classify water bodies based on Sentinel-1 and Sentinel-2 satellite data. The inundation data were complimented with meteorological, soil, land use, and GIS data to form 24 features that were used to train an XGBoost model and a deep neural network to predict future inundations, with a daily interval. The best prediction was reached with the XGBoost model, with an overall accuracy of 86%, a Kappa value of 0.71, and an F1 score of 0.86. The SHAP explainable AI method showed that the most important input features were the amount of water detected in the satellite imagery during the week before the forecast and during the period two weeks earlier, the number of water pixels in the surroundings on the day before the forecast, and the potential evapotranspiration on the day of the forecast. The resulting inland excess water inundation time series can be used for operational action, planning, and prevention.
Constituents of Coliform Species Contained in the Permeate of Microfiltration Membranes in Wastewater Treatment
Authors: Zhou Shuai , Urase Taro , Goto Saki
Published: April 2024

MBRs (Membrane bioreactors) have been increasingly employed for municipal and industrial wastewater treatment in the last decades for their small footprint and excellent effluent quality. However, microorganisms are often detected in the permeates of microfiltration (MF) membranes even with small pore sizes. Coliform bacteria are known for indicating the potential presence of pathogenic bacteria that cause infectious disease such as bacteremia, respiratory tract infections, and urinary tract infections. Thus, the retention of coliform bacteria by membrane processes is important when the membrane process is utilized in water reclamation. In this study, a microbial community of coliform bacteria in the permeates of MF membranes with different pore sizes (0.2, 0.4, and 0.8 µm) was identified. The results showed that the dominant coliform bacteria changed from Enterobacter spp. and Citrobacter spp. in the activated sludge to Enterobacter spp. and Klebsiella spp. in the permeate of MF membranes, while some pieces of membranes showed complete retention. The bacterial regrowth on the surface of the piping system on the permeate side could be a significant factor contributing to the frequent and exclusive detection of Enterobacter spp. and Klebsiella spp. in the case of membranes with small pore size (0.2 and 0.4 µm) after a long continuous filtration time. To indicate the public health-related risk of treated wastewater by MF, Escherichia coli may not be a suitable indicator species because E. coli is relatively retentive in MF compared to other coliforms.
Human-Altered Water and Carbon Cycles in the Lake Yangzong Basin since the Yuan Dynasty
Authors: Li Huayong , Jing Yuxue , Zhang Hucai , Shang Xuanxuan , Duan Lizeng , Li Huayu , Li Donglin , Li Zhuohan
Published: April 2024

Due to the dual influence of climate change and human activities, the water cycle patterns in the lakesheds of the Yunnan karst plateau are undergoing significant changes, leading to increasingly prominent ecological issues. In the history of Lake Yangzong, an artificial water-diversion channel was excavated, altering the lake basin structure. Human activities have intensified, posing severe challenges to water resource supply and water security in recent decades. To investigate the significant increase in human activities, the temporal and phase changes, and the resulting transformation of the water and carbon cycles in the Lake Yangzong basin, we applied X-ray fluorescence spectroscopy (XRF) to scan elements continuously in a 10.2 m sediment core from this lake. By combining correlation analysis, principal component analysis (PCA), core chronology, and total organic carbon (TOC) content, we reconstructed the historical sequence of geochemical element contents in the Lake Yangzong catchment over the past 13,000 years. The results show that PC1 and PC2 contribute 78.4% and 10.3%, respectively, suggesting that erosion intensity is the main factor influencing the lake sedimentation process. From 13,400 to 680 cal a BP (calibrated years before the present), the sedimentation process in Lake Yangzong was mainly controlled by climatic conditions, with vegetation degradation during cold periods and relatively high erosion intensity in the watershed. During the Yuan dynasty, a province was established by the central government in Yunnan, promoting settlement and attracting a large number of immigrants from other provinces to Yunnan. Human activities in the Lake Yangzong basin began to intensify, surpassing natural changes and becoming the dominant force influencing the sedimentation process. In the Ming and Qing dynasties, the population and cultivated land area in Yunnan further increased, resulting in the significant exacerbation of erosion and soil loss in the watershed due to vegetation destruction. In the year 1388, the Tangchi Canal was excavated, transforming Lake Yangzong to an outflow lake, causing Ca2+ to be lost through the Tangchi Canal and preventing the formation of precipitation due to oversaturation. The research results indicate that human activities in the Lake Yangzong area have intensified since the Yuan dynasty, leading to increased erosion intensity. The excavation of the outflow canal transformed Lake Yangzong from an inland lake basin into an outflow state, simultaneously generating a significant transformation in the water and carbon cycling patterns in the watershed.
Preparation of CeO2 Supported on Graphite Catalyst and Its Catalytic Performance for Diethyl Phthalate Degradation during Ozonation
Authors: Tao Xin-Yi , Cui Yu-Hong , Liu Zheng-Qian
Published: April 2024

Catalysts for the efficient catalytic decomposition of ozone to generate reactive free radicals to oxidize pollutants are needed. The graphite-supported CeO2 catalyst was optimally prepared, and its activity in ozonation was evaluated using the degradation of diethyl phthalate (DEP) as an index. The stability of CeO2/graphite catalyst and the influence of operating conditions on its catalytic activity were investigated, and the mechanism of CeO2/graphite catalytic ozonation was analyzed. CeO2/graphite had the highest catalytic activity at a Ce load of 3.5% and a pyrolysis temperature of 400 °C with the DEP degradation efficiency of 75.0% and the total organic carbon (TOC) removal efficiency of 48.3%. No dissolution of active components was found during the repeated use of CeO2/graphite catalyst. The ozone dosage, catalyst dosage, initial pH, and reaction temperature have positive effects on the DEP degradation by CeO2/graphite catalytic ozonation. The presence of tert-butanol significantly inhibits the degradation of DEP at an initial pH of 3.0, 5.8, or 9.0, and the experimental results of the •OH probe compound pCBA indicate that the CeO2/graphite catalyst can efficiently convert ozone into •OH in solution. The DEP degradation in the CeO2/graphite catalytic ozonation mainly depends on the •OH in the bulk solution formed by ozone decomposition.
Protection Coordination Strategy for the Distributed Electric Aircraft Propulsion Systems
Authors: Siddavatam Anil Kumar Reddy , Rajashekara Kaushik , Huang Hao , Wang Fred
Published: April 2024

The current trend in distributed electric aircraft propulsion systems is to utilize the DC bus system at higher voltage levels than conventional aircraft systems. With Boeing and Airbus utilizing the +/−270 V bipolar DC bus system, the research on high-voltage systems is increasing gradually, with voltage levels ranging from 1 to 10 kV systems or +/−0.5 to +/−5 kV DC bus systems. These voltage levels present considerable challenges to the distributed electric aircraft propulsion systems. In addition to partial discharge effects, there are other challenges, particularly the challenge associated with effectively limiting short-circuit fault currents due to the low cable impedance of the distribution system. The cable impedance is a significant factor that determines the fault current during fault conditions. Due to the low impedance, there is a sharp increase in fault current, necessitating an enhanced protection strategy, which ensures that the system is adequately protected. This paper introduces a coordinated protection strategy specifically designed for distributed electric aircraft propulsion systems to mitigate or prevent short-circuit faults. The proposed algorithm utilizes an I2t-based strategy and the current-limiting-based strategy to protect the system from short-circuit faults and overload conditions. Redundant backup protection is also included in the algorithm in case the circuit breaker fails to operate.
Research on Power Optimization for Energy System of Hydrogen Fuel Cell Wheel-Driven Electric Tractor
Authors: Zhang Jingyun , Wang Buyuan , Zhang Junjiang , Xu Liyou , Zhang Kai
Published: April 2024

Hydrogen fuel cell tractors are emerging as a new power source for tractors. Currently, there is no mature energy management control method available. Existing methods mostly rely on engineers’ experience to determine the output power of the fuel cell and the power battery, resulting in relatively low energy utilization efficiency of the energy system. To address the aforementioned problems, a power optimization method for the energy system of hydrogen fuel cell wheel-driven electric tractor was proposed. A dynamic model of tractor ploughing conditions was established based on the system dynamics theory. From this, based on the equivalent hydrogen consumption theory, the charging and discharging of the power battery were equivalent to the fuel consumption of the hydrogen fuel cell, forming an equivalent hydrogen consumption model for the tractor. Using the state of charge (SOC) of the power battery as a constraint, and with the minimum equivalent hydrogen consumption as the objective function, an instantaneously optimized power allocation method based on load demand in the energy system is proposed by using a traversal algorithm. The optimization method was simulated and tested based on the MATLAB simulation platform, and the results showed under ploughing conditions, compared with the rule-based control strategy, the proposed energy system power optimization method optimized the power output of hydrogen fuel cells and power batteries, allowing the energy system to work in a high-efficiency range, reducing the equivalent hydrogen consumption of the tractor by 7.79%, and solving the energy system power distribution problem.
Battery Research and Innovation—A Study of Patents and Papers
Authors: Pohl Hans , Marklund Måns
Published: April 2024

This study of patent applications and scientific publications related to batteries is unique as it includes the volume of as well as qualitative indicators for both types of publications. Using carefully elaborated strategies to identify publications relating to batteries, this study provides data to discuss the critical balance to strike between investments in research and the more innovation-related aspects. The results show that China’s dominance in publication volumes increases and that research with Chinese involvement is highly cited, whereas patent applications are slightly less valued than the world average. Quality-related indicators for Canada and the United States are very high for both scientific publications and patent applications. National differences in the proportions of patent applications and scientific publications are large, with Japan at one end with three patent applications per scientific paper and Canada at the other with almost seven scientific papers per patent application. On an actor level, data for Sweden indicate how the automotive industry started to file many patent applications in the decade starting in 2010. Finally, it is noted that this new approach to study a technological field appears promising as it gives new perspectives of relevance for policy actors and others.
Competencias emprendedoras en la institución universitaria Colegio Mayor del Cauca
Authors: Pineda Hurtado Maria Isabel , Saldarriaga Salazar Maria Eugenia
Published: April 2024

La formación emprendedora es esencial en la educación superior, dentro de este proceso las competencias emprendedoras toman gran relevancia, porque permiten facultar a los universitarios para que creen sus propios negocios y enfrentar los cambios del entorno. Este estudio busca identificar las competencias que debe tener un emprendedor, a fin de contrastarlas con las adquiridas en la formación de los estudiantes de la Tecnología en Gestión Empresarial. La metodología fue cuantitativa con método descriptivo, aplicando análisis documental a manuscritos institucionales y una encuesta a 200 estudiantes de Gestión Empresarial. Los resultados, dejan ver que se potencia competencias trascendentales en la actividad emprendedora como: la resolución de problemas, el pensamiento crítico y el análisis del entorno. Se concluye que existe una relación con lo plasmado en los documentos institucionales, los autores y lo manifestado por los educandos en lo que respecta a las competencias emprendedoras.
Use of the FebriDx point-of-care test for lower respiratory tract infections in primary care: a qualitative interview study
Authors: Rutter Jill , Wilcox Christopher R , Odeh Nour , Muller Ingrid , Clark Tristan W , Little Paul , Davies Firoza , McGavin John , Francis Nick
Published: April 2024

Background

FebriDx is a single-use, analyser-free, point-of-care test with markers for bacterial (C-reactive protein [CRP]) and viral (myxovirus resistance protein A [MxA]) infection, measured on a finger-prick blood sample.

Aim

As part of a larger feasibility study, we explored the views of healthcare professionals (HCPs) and patients on the use of FebriDx to safely reduce antibiotic prescriptions for lower respiratory tract infections (LRTIs) in primary care.

Design & setting

Remote semi-structured qualitative interviews were conducted in South England.

Method

In total, 22 individuals (12 patients who underwent FebriDx testing and 10 HCPs from general practices that conducted testing) participated in interviews, which were analysed thematically.

Results

Patients and HCPs expressed positive views about use of the test. They felt FebriDx was a useful tool to inform prescribing decisions and provided a visual aid to support shared decision making and appropriate antibiotic use. Most felt it would be feasible to integrate use into routine primary care consultations. Some practical difficulties with blood collection and interpreting results, which impacted on usability, were identified. Some patients’ reactions to negative test results suggested the need for better communication alongside use of the test.

Conclusion

FebriDx was perceived as a useful tool to guide antibiotic prescribing and support shared decision making. Initial practical problems with testing and communicating results are potential barriers to use. Training and practice on using the test and effective communication are likely to be important elements in ensuring patient understanding and satisfaction, and successful adoption.
Green marketing's effect on customer satisfaction and awareness: an empirical study
Authors: H G Anusha
Published: April 2024

Environmental sustainability has emerged as a major concern in today's corporate world. Governments are concerned about environmental issues. The term "green" has gained popularity in today's world. Green marketing refers to the strategy of endorsing goods or services that are friendly to the environment, and contribute positively to the earth. It boosts a company's brand and preserves the ecosystem. A boost of companies to use eco-friendly procedures and the provision of more sustainable choices to customers are the two main objectives of green practices marketing. The study goes through to evaluates consumers' awareness of green marketing, ascertains the pros and cons and obstacles of implementing green marketing, and analyses the elements that induce a consumer to choose green sustainable goods, the study is carried down with the locality respondents present around Chikkmagaluru district through the Forms and it concludes that Green marketing is a tool for preserving natural resources and safeguarding the environment for future generations, utilization of alternative energy sources to produce goods and services are ways to achieve sustainable growth. Green marketing had a positive impact on the worldwide market equally.
Potentials and Challenges of Digit(al)isation and Convergence of Television in Bosnia and Herzegovina
Authors: Silajdžić Lamija
Published: April 2024

This study explores the impact of digit(al)isation and convergence on television in Bosnia and Herzegovina, considering the fact that the digital revolution, sparked by the proliferation of advanced digital technologies, has brought significant changes to the media sphere. One of the key phenomena in contemporary media is media convergence, a multi-meaning concept influencing various stakeholders in the media landscape – media owners, management, journalists, editors, advertisers, and audiences. Qualitative research was conducted in this study, through semi-structured in-depth interviews (N=27) with management, journalists, and editors from Bosnian Herzegovinian TV stations (N=15). The aim of the study is to understand how media professionals navigate digital/convergent circumstances and which advantages and challenges they identify. Based on this research, it can be concluded that media professionals recognise the significance of quality content in the media (irrespective of technological changes), as well as the importance of collaborative effort that underscores shared responsibility to uphold standards and excellence within the dynamic digital media landscape.
Identification of a Novel Homozygous Mutation in PRDM12 Gene in a Patient with Hereditary Sensory and Autonomic Neuropathy Type VIII
Authors: Ebrahimi Amir Hossein , Bolhassani Manzar , Zarei Mohammad Reza , Heidari Matin , ArdeshirDavani Amin , Mehrtash Amir Hosein , Shiri Zahra , Heidari Masoud , Soleyman-Nejad Morteza , Taskhiri Mohammad Hossein , Norouzbeigi Arefeh , Heidari Mansour
Published: April 2024

Hereditary sensory autonomic neuropathy type VIII (HSAN-VIII) is a rare genetic disease that occurs due to mutations in the PRDM12 gene. Here, we describe a novel homozygous mutation c.826_840dupTGCAACCGCCGCTTC (p.Cys276_Phe280dup) on exon 5 in the PRDM12 gene identified by WES and confirmed using Sanger sequencing method.
The Degree of Implementation of Authentic Assessment Strategies as Estimated by Islamic Education Teachers
Authors: Mustafa Mahmoud Ahmad
Published: April 2024

The aim of this study was twofold: to identify the degree of implementation of authentic assessment strategies from the point of view of Islamic Education (IE) teachers, and to determine whether any statistically significant differences between such sampled respondents’ estimations were attributable to gender or experience variables. Following the descriptive analytical approach and based on a questionnaire involving (198) male and female teachers, the study concluded that the level of IE teachers’ estimation of authentic assessment practice rated fair. Furthermore, study findings revealed no statistically significant differences related to gender or experience variables in teachers’ level of estimation. The study recommended that teacher development courses be conducted on authentic assessment strategies.

هدفت هذه الدراسة إلى معرفة درجة تطبيق مدرسي التربية الإسلامية لاستراتيجيات التقويم الواقعي من وجهة نظرهم، والكشف عما إذا كانت هناك فروق ذات دلالة إحصائية بين تقديرات أفراد العينة لهذه الدرجة تعزى إلى متغير الجنس أو الخبرة، واتبعت الدراسة المنهج الوصفي التحليلي، وتم استخدام استبانة طبقت على (198) معلماً ومعلمة، وتوصلت الدراسة إلى أن درجة تقييم المعلمين لتجربة التقويم الواقعي جاءت بدرجة متوسطة، كما أظهرت نتائج الدراسة أنه لا يوجد هنا فروق ذات دلالة إحصائية في درجة تقييم المعلمين تعزى لمتغيري الدراسة (الجنس، التخصص)، وأوصت الدراسة بعقد دورات تأهيل للمعلمين في استراتيجيات التقويم الواقعي واستراتيجياته.