bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANÁLISE GLOBAL DOS DETERMINANTES PARA A HESITAÇÃO NA VACINAÇÃO CONTRA COVID-19: UMA REVISÃO INTEGRATIVA
Authors: Almeida Ne da Silva Joyce , De Sá Bezerra Ernandes , Doria dos Santos Ana Cristina 
Published: December 2024

O crescimento de movimentos contrários à imunização, acentuado nas últimas décadas pela propagação de notícias falsas através do ciberespaço, está ganhando crescente força e visibilidade globalmente. Apesar dos progressos alcançados na gestão da pandemia da COVID-19, observou-se um aumento significativo nas polarizações políticas, teorias conspiratórias, movimentos antivacina e preocupações relacionadas às vacinas contra o coronavírus, tanto nas redes sociais quanto nas mídias tradicionais. Nesse sentido, o objetivo é analisar os fatores que influenciam a hesitação à vacinação contra COVID-19 em nível global. Trata-se de uma revisão integrativa da literatura que utilizou as bases PubMed, BVS e SciELO, pesquisa ("Quais fatores influenciam na hesitação vacinal da COVID-19?"). A busca foi realizada com descritores como "saúde pública", "hesitação vacinal" e "COVID-19", com a utilização do operador booleano “AND”, “e” e “y”. Os critérios de inclusão abrangeram artigos publicados entre 2020 e 2023, em inglês, português ou espanhol, com estudos clínicos relevantes. O processo de seleção dos estudos seguiu as diretrizes estabelecidas pelo PRISMA. A hesitação em relação à vacinação contra a COVID-19 é influenciada por fatores socioeconômicos e culturais, com destaque para disparidades entre grupos sociodemográficos, como negros/afro-americanos. As principais causas incluem o medo da infecção e a desconfiança nas vacinas, especialmente devido à novidade da vacina e questões sobre sua segurança. Estratégias de comunicação eficazes, focadas nos meios de comunicação, são sugeridas para aumentar a aceitação, ressaltando a eficácia e segurança das vacinas. As vacinas são amplamente reconhecidas como ferramentas eficazes na prevenção de doenças infecciosas, dessa forma a análise do fenômeno da hesitação vacinal deve considerar determinantes principais, pois a vacinação é um processo comportamental complexo. Diante disso, nos últimos anos, um fator de relevância crescente tem sido o surgimento da internet e o uso constante das redes sociais para disseminar informações falsas, conhecidas como fake news. A hesitação vacinal tem se tornado um tema cada vez mais relevante, sendo amplamente debatido em pesquisas que analisam as atitudes e comportamentos da população frente à vacinação contra a COVID-19. Com o surgimento de novas variantes do vírus e questões sobre a obrigatoriedade vacinal, é crucial que as autoridades de saúde pública monitorem constantemente a hesitação vacinal e ajustem suas estratégias conforme a evolução do contexto da pandemia.
Development of a smart irrigation monitoring system employing the wireless sensor network for agricultural water management
Authors: Kushwaha Yogesh Kumar , Joshi Amrita , Panigrahi Rajib Kumar , Pandey Ashish 
Published: December 2024

ABSTRACT

This article presents a “Smart Irrigation Monitoring System” (SIMS) solution through a wireless connection, which can monitor the whole agricultural land and provide the optimal water supply to the crops. The system utilizes weather data from an automatic weather station, moisture sensor readings, and a Raspberry Pi coordinator node. By combining moisture sensor data with the crop water requirement, the system estimates the actual irrigation needs and automatically controls the water pump, turning it ON/OFF as required. The irrigation is provided according to forecasted upcoming rainfall events. The overall system also considered the evapotranspiration rate in wheat crops. This approach, unique in its real-time monitoring of soil moisture and soil temperature from the agricultural field, provides effective water resource management for farmers. The study includes hardware and software design of various IoT-based components (i.e., capacitive soil moisture sensor, wireless sensing nodes (iNODE), edge computing, and cloud computing). The distributed network incorporates DS18B20 soil temperature and PCB-based capacitive soil moisture sensors using the communication module XBeeS2C protocol, which sends real-time soil parameters to an edge server for irrigation control. Moreover, the developed system is a cost-effective solution regarding time and financial resources.
Reducing gray, blue, green, and total water footprint in wastewater irrigated silage maize in zero tillage
Authors: Yerli Caner , Sahin Ustun 
Published: December 2024

ABSTRACT

No study has been found examining the contribution of gray water footprint input per unit yield to reducing blue and green water footprint output in silage maize irrigated with different levels of wastewater under different tillage practices. Therefore, this 2-year silage maize field study examined the effect of three different levels of recycled wastewater (100, 67, and 33% of irrigation need in W100, W67, and W33) and 100% irrigation with freshwater on water footprint under conventional and zero tillage. Under zero tillage, W100 had the lowest blue, green, and total water footprint per unit yield of 2.8, 6.1, and 47 m3 ton−1 for fresh biomass, respectively, and 9.2, 20.1, and 155.3 m3 ton−1 for dry biomass. Among the wastewater treatments, the W33 resulted in the highest water footprints per unit yield under conventional tillage. Blue, green, gray, and total water footprints per unit fresh yield under zero tillage were 9.8, 5.9, 13.1, and 10.3% lower than conventional tillage, while the values for dry biomass were 15, 14.3, 18.6, and 16.6% lower. In conclusion, W100 under zero tillage can be an effective way to protect freshwater resources by reducing blue, green, and total water footprint outputs with less gray water footprint input per unit yield.
Analysis of water–energy–carbon coupling and influencing factors in food production
Authors: Kang Yinhong , He Shuai , Ni Tiefeng , Wang Jiachi , Liu Li 
Published: December 2024

ABSTRACT

Water, energy, and carbon are important factors that determine crop production efficiency. This paper applies the footprint theory to calculate the water, energy, and carbon footprint of food crops in Sichuan Province from 2011 to 2020, evaluates water–energy–carbon interactions and closeness, and employs path analysis to analyse factors influencing the coupling degree and the coupling coordination degree. The results indicate that (1) the annual average green water footprint (WF) exceeds the combined contribution of blue and grey WFs, accounting for 54.69% of the total. Energy inputs and carbon emissions (CEs) increased by 15.3 and 0.23%, respectively. (2) Food production from 2011 to 2020 is at a relatively high coupling stage, as indicated by the average coupling degree of 0.88; however, the average coupling coordination degree is only 0.37, explaining a mild incoordination. (3) The rural Engel's coefficient and average temperature are the largest contributing and inhibiting factors affecting the coupling degree; the agricultural economic level and agricultural planting structure are the largest contributing and inhibiting factors affecting the coupling coordination degree. This study can provide reference for reducing water and energy consumption and CEs as a response to resource scarcity and climate change.
Investigating the coherence of groundwater quality of a coastal aquifer and the hydroclimatic factors via remote sensing and wavelet analysis
Authors: Jabbarian Paknezhad Nardin , Nourani Vahid , Sharghi Elnaz , Zhang Yongqiang 
Published: December 2024

ABSTRACT
This study examined the factors that influence the groundwater quality (GWQ) of the Miandoab aquifer, located in the northwest of Iran. The study investigated the impact of climate change, anthropogenic activities, teleconnection, total water storage (TWS), and the area and level of the Urmia Lake on GWQ. To identify the relationship between TWS fluctuations and GWQ, the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) data were utilized. Landsat data were employed to calculate the normalized difference vegetation index and to determine the area of the Urmia Lake. Wavelet coherence, partial wavelet coherence (PWC), and multi-wavelet coherence (MWC) were used to assess the coherence in four distinct zones of the aquifer, distinguished via ensemble clustering. The obtained results indicated that the MWC of the anthropogenic activities and climate change contained higher coherence with GWQ compared to the MWC of the teleconnection parameters. Among teleconnection indices, the Pacific Decadal Oscillation showed higher coherence, of between 0.9 and 1, with GWQ. In addition, there is about 0.2–0.3 more coherence between the GWQ and the Urmia Lake area than the Urmia Lake level. Among the investigated factors, the coherence obtained via PWC, between GWQ and GRACE-FO data, exhibited higher coherence compared to other analyzed factors, with a coherence ranging between 0.8 and 1.
Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA: a case study of Kawardha District of Chhattisgarh, India
Authors: Chandaniha Surendra Kumar , Parganiha Girish , Nigam Gaurav Kant , Sinha Jitendra 
Published: December 2024

ABSTRACT

This study formulates a sustainable groundwater recharge plan for Kawardha District, Chhattisgarh, India, by integrating the analytical hierarchy process (AHP), remote sensing (RS), and Geographic Information System (GIS)-based multi-criteria decision analysis (MCDA). Eight thematic layers – geology, geomorphology, land use/land cover (LULC), soil, lineament density, drainage density, rainfall, and slope – were used to evaluate groundwater recharge potential. The district's elevation varies between 273 and 1,016 m, with slopes primarily below 2%, while drainage density peaks at 3.4 km/sq.km. Pre- and post-monsoon groundwater levels range from 1.6–8.1 to 0.6–7.2 m, respectively. Forests dominate the six classified LULC categories, and sandy loam is the primary soil type. AHP weighting prioritized geology (27%) and geomorphology (24%). Groundwater potential zones (GPZs) were categorized into five classes: very low (0.50%), low (17.60%), moderate (60.46%), high (20.91%), and very high (0.53%), with a 79% accuracy validated by well data. To address irregular rainfall and complex terrain, 64 check dams, 35 percolation tanks, and 20 farm ponds are recommended. This approach offers valuable insights for groundwater management in areas with similar hydrogeological issues, aiding water resource and agricultural planning.
Combined clogging of suspended particle and algae during the recharge with the Yellow River water in the Yufuhe River channel of North China Plain
Authors: Zhao Weidong , Zhu Jingsi , Wang Zhe , Wang Weiping , Qu Shisong 
Published: December 2024

ABSTRACT

Managed aquifer recharge (MAR) is an effective measure for integrated water resources in the North China Plain (NCP). During the recharging, the combined clogging in the aquifer caused by algae and suspended solid (SS) is a problem that was easily ignored by researchers. In this research, a sand column model was designed to investigate the SS-algae combined clogging mechanism in the porous medium during the Yellow River water recharge in the Yufuhe River channel of NCP. The SS-algae combined plugging of the medium appeared earlier and the plugging degree was more serious compared with the SS-only clogging and the algae-only clogging during the infiltration. Meanwhile, the surface clogging degree of the medium is more serious, and the interior is smaller in comparison to the SS-only group and the algae-only group. The filter cake and algae mat are the signs of SS clogging and algae clogging, and the algae mat structure in the SS-algae group is more dense compared to the algae-only group. In the combined clogging experiment, the outflow concentration of SS and algae in the medium is less than the SS-only group and the algae-only group. In addition, algae and SS can limit each other's migration in the medium.
Recent Research on anti-G suit for Fighter Pilots
Authors: Liu Hongbo , Li Yuheng , Yang Xiaodong 
Published: December 2024

Background:
With the arrival of the first airplane, the technology of anti-G suits for fighter
pilots emerged. Anti-G suit technology has advanced rapidly over time, and anti-G suits are now
widely used in modern fighter jets around the world. Furthermore, as fighter aircraft performance
improves, the pilots' driving environment becomes more severe, and traditional anti-G suits no longer
meet the requirements. As a result, all relevant countries are currently researching new types of
anti-G suits for pilots to meet the load-resistant requirements in high-performance fighter aircraft.

Objective:
Through a detailed analysis of the development history, research status and related technologies
of fighter pilots' anti-G suit, and with reference to the papers and latest patents related to
anti-G suit, we are looking for ways to improve the anti-overload resistance of fighter pilots' anti-G
suit, and to optimize the man-machine efficacy of the anti-G suit.

Methods:
The methodology of this study is as follows: By classifying the anti-G suit for fighter pilots,
briefly explainining the development direction and research direction of key technologies,
summarizing the advantages and disadvantages of each type of key technology respectively, and
looking forward to the future development trend of anti-G suits.

Results:
Through the research and analysis of each key technology of anti-G suit for fighter pilots, it
can be seen that the anti-G suit mainly maintains the pilot's ability to operate the aircraft by pressurizing
the abdomen and lower limbs of the human body when positive overload is applied, in order to
reduce the deformation and displacement of the internal organs and to stop the transfer of the blood
to the lower half of the body, so as to ensure the circulating blood volume of the head; the differences
in the clothing material, structure and filling medium influence the anti-G suit's anti-overload
performance. The speed of media filling reaction and the filling process also have an important effect
on the overload resistance performance.

Conclusion:
The use of new anti-G suit clothing materials, filler structures, and media, and the use
of intelligent technology to improve the reaction speed of media filling and optimize the media filling
process can significantly improve the anti-load performance of fighter pilots and meet the higher
anti-load requirements of today's high-performance fighter pilots.
A Review of Research on Shortest Path Planning Algorithms for Mobile Robots
Authors: Wang Lutong , Yang Xiaodong , Liu Hongbo , Liu Shouguo , Peng Jiakuan , Liu Weifeng 
Published: December 2024

Background:
Path planning technology has a wide range of applications in many
fields. Applications in the field of high technology include: autonomous and touchless action of
robots; obstacle avoidance and defense flight of drones; cruise missiles to avoid radar search, anti-
bouncing attacks, and to complete the task of sudden defense and demolition. Applications in
daily life include: GPS navigation; road planning based on GIS system; urban road network planning
and navigation. Applications in the field of decision-making management include: vehicle
problem (VRP) in logistics management and similar resource allocation problems in resource management.
Routing problems in the field of communication technology. Any planning problem that
can be topologized as a point and line network can basically be solved by the method of path planning.
Different intelligent algorithms have different characteristics, and their application scope
and fields are also different, so it is of great significance for the development of path planning
technology to study the path planning intelligent algorithms from the characteristics of the algorithms
themselves and their applications.

Objective:
Analyze the advantages and disadvantages of various types of planning algorithms,
look forward to the future development trend of mobile robot path planning, and provide certain
ideas for the research of mobile robot path planning.

Method:
Search journals, patents, conferences, and papers related to mobile robot path planning,
and summarize and analyze the advantages and disadvantages of various planning algorithms.

Results:
Based on the research results of many scholars, this study summarizes different mobile
robot path planning methods. It is divided into four categories: traditional planning, intelligent
search, artificial intelligence and local obstacle avoidance. This paper introduces and analyzes the
latest research results of these types, including their design ideas, advantages and disadvantages,
and improvement measures. The research methods adopted are analyzed in order to maximize the
advantages of each algorithm and expand the application field of robot path planning to provide
ideas and references.

Conclusion:
This paper provides guidance for the design and optimization of robot path planning.
Finally, this paper summarizes the future development trend of robot path planning, and looks forward
to the future development trend and key areas of robot path planning.
Non-unit Transient Protection for LCC-HVDC Transmission Lines Using Similarity of Current Derivatives and Faulty Pole Selection
Authors: Zhang Yunke , Li Siwei , Tian Zengyuan , Zhao Zongzheng 
Published: December 2024

Background:
High-voltage direct-current (HVDC) transmission technology has been
applied frequently in high-voltage power systems for long-distance and large-capability power
transmission in recent years. However, there are some problems with the reliability and sensitivity
of HVDC transmission-line protection, leading to protection malfunction or maloperation.

Objective:
For line-commutated converter-based HVDC transmission lines, a non-unit transient
protection patent using a similarity of current derivatives and faulty pole selection is studied.

Methods:
During the fault transient period, based on the superimposed networks for different
types of faults, the similarity of line current derivative (LCD) and dc filter current derivative (DFCD)
and the numerical characteristics of DFCD are derived in detail. The Pearson correlation coefficient
is employed to calculate the similarity between LCD and DFCD. Based on the polarity
characteristics of earth-mode DC filter current, the criterion of faulty pole selection is proposed. A
±800kV UHVDC system model built in PSCAD/EMTDC is used to verify the performance of the
proposed protection.

Results:
Simulation results show that the non-unit transient protection can correctly identify different
fault types for HVDC transmission lines over 1900 km, even with 500 Ω fault resistance.

Conclusion:
The proposed model’s protection and high performance of fault identification prove
that it is highly sensitive and reliable under different fault conditions. A non-unit transient protection
using the similarity of current derivatives and faulty pole selection has been proposed in this
study.
The Inverse-Consistent Deformable MRI Registration Method Based on the Improved UNet Model and Similarity Attention
Authors: Cheng Tianqi , Wang Lei , Han Yaolong , Liu Shilong , Yan Chunyu , Sun Yanqing , Yang Shanling , Li Bin 
Published: December 2024

Introduction:
Deformable image registration is an essential task in medical image
analysis. The UNet model, or the model with the U-shaped structure, has been popularly proposed
in deep learning-based registration methods. However, they easily lose the important
similarity information in the up-sampling stage, and these methods usually ignore the inherent
inverse consistency of the transformation between a pair of images. Furthermore, the traditional
smoothing constraints used in the existing methods can only partially ensure the folding of
the deformation field.

Method:
An inverse consistent deformable medical image registration network(ICSANet)
based on the inverse consistency constraint and the similarity-based local attention is developed.
A new UNet network is constructed by introducing similarity-based local attention to focus
on the spatial correspondence in the high-similarity space. A novel inverse consistency
constraint is proposed, and the objective function of the new form is presented with the combination
of the traditional constraint conditions. Experiment: The performance of the proposed
method is compared with the typical registration models, such as the VoxelMorph, PVT,
nnFormer, and TransMorph-diff model, on the brain IXI and OASIS datasets.

Result:
Experimental results on the brain MRI datasets show that the images can be deformed
symmetrically until two distorted images are well matched. The quantitative comparison and
visual analysis indicate that the proposed method performs better, and the Dice index can be
improved by at least 12% with only 10% parameters.

Conclusion:
This paper presents a new medical image registration network, ICSANet. By introducing
a similarity attention gate, it accurately captures high-similarity spatial correspondences
between source and target images, resulting in better registration performance.

result:
By compare with the typical registration model, such as the VoxelMorph, PVT, nnFormer, and TransMorph-diff model, Experimental results on the brain MRI datasets show that the images can be deformed symmetrically until two distorted images are well matched. The quantitative comparison and visual analysis indicate that the proposed method performs better, and the Dice index can be improved at least 12% with only 10% parameters.
Is Silence Golden? An Investigation of Zero Unrecognized Tax Benefit Firms
Authors: Krieg Kimberly S. , Wilson Ryan J. , Wu Kaishu 
Published: December 2024

ABSTRACT
We find over 31 percent of U.S. firms report a zero ending balance for their unrecognized tax benefits (UTBs). We refer to these firms as zero UTB firms and explore explanations for their prevalence. We find zero UTB firms are less complex than positive UTB firms. Specifically, they are smaller, less profitable, have less R&D and foreign earnings, and fewer operating segments and XBRL tags. We also find some evidence that these firms have less efficient tax departments. When splitting zero UTB firms by tax haven activity, we find that those with haven operations are more aggressive in their financial reporting than haven firms with positive UTBs. We also find that zero UTB firms both with and without tax haven operations are subject to less IRS scrutiny than positive UTB firms. Overall, although zero UTB firms are generally less complex, our results suggest that a subset may warrant further scrutiny.
JEL Classifications: H25; H26; H32; M41; M48.
Seemingly Self-Sabotaging Disclosures
Authors: Arya Anil , Ramanan Ram N. V. 
Published: December 2024

ABSTRACT
Firm disclosures are observed by multiple audiences with diverse interests. Recognizing this practical feature, studies have examined how conflicting incentives provided by the multiple recipients of the information affect disclosure outcomes. Understandably, studies have not examined scenarios wherein disclosure incentives from recipients align in the same direction. With aligned incentives, disclosure incentives are presumably “additive.” This paper challenges such thinking. We model a firm that faces a potential entrant and a scrutinizing regulator so each individually incentivizes the firm to withhold favorable market news. However, we show that their joint presence can drastically change the disclosure equilibrium: the firm may voluntarily disclose good news seemingly in self-sabotage. Such disclosures attract entry, compelling the firm to yield its monopoly position. However, by ceding market power, the firm boosts consumer surplus and soothes regulatory concerns. The ensuing reduction in regulatory costs borne by the firm can then increase the firm’s overall value.