Global Growth Research Articles

An empirical study on driving blockchain adoption in Maritime freight: an Asian business perspective

PurposeIn the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by maritime goods that transit global growth and development. Digital technologies like blockchain help the maritime freight business to stay competitive in the digital age. This study aims to illuminate blockchain technology (BCT) adoption aspects to alleviate early industry adoption restrictions.Design/methodology/approachThis study adopts a two-stage approach comprising of structural equation modeling (SEM) with artificial neural networks (ANN) to analyze critical factors influencing the adoption of BCT in the sustainable maritime freight industry.FindingsThe SEM findings from this study illustrate that social, organizational, technological and infrastructual and institutional factors affect BCT execution. Furthermore, the ANN technique uses the SEM data to determine that sustainability enabled digital freight training (S3), initial investment cost (O5) and trust over digital technology (G1) are the most essential blockchain deployment factors.Originality/valueThe hybrid approach aims to help decision-makers and policymakers examine their organizational blockchain adoption goals to construct sustainable, efficient and effective maritime freight transportation.

Use of biostimulants for water stress mitigation in two durum wheat (Triticum durum Desf.) genotypes with different drought tolerance

Agriculture is facing complex and unprecedented challenges, such as climate change and global population growth, associated with the increase of food demand. Durum wheat (DW) is a strategic crop for food security in the Mediterranean region. In this work, the effect of two biostimulant compounds on drought response of two DW genotypes with different drought tolerance degree was evaluated: the tolerant genotype Svems16 and the sensitive cv. Iride. Genotyping-By-Sequencing analysis allowed to identify variants in response to water-related genes, such as those encoding dehydrins, with Svems16 exhibiting a missense variant divergent from the sequence found in Iride. Drought significantly hindered growth of cv. Iride by increasing oxidative stress and diminishing stomata density. This difficulty was mitigated by the application of biostimulants, which induced root morphological changes, and increased stomata density. On the other hand, the growth of Svems16 seedlings was not significantly affected by drought, confirming its significant degree of tolerance toward that stress compared with Iride. As a result, both biostimulants showed limited efficacy when applied to Svems16 stressed plants. In conclusion, the application of biostimulants emerges as a valuable agronomic strategy for mitigating drought stress in sensitive DW cultivars.

Low- and middle-income countries’ external debt cycle and global economic prospect

The rapid growth of peripheral countries has brought significant changes to the global economic and financial system, making it crucial to examine the relationship between their cyclical debt fluctuations and the world economy. Using the Bayesian dynamic factor model, this paper documents the presence of a set of common factors, known as global debt cycles, in the external debt accumulation of the low- and middle-income countries (LMICs). The interesting finding is that this debt cycles differ from well-known factors for global financial cycles in capital flows, such as U.S. monetary policy and global risk aversion. Even after controlling the factors for global financial cycles, our results reveal a significantly negative predictive effect of estimated debt cycles on global economic growth. Moreover, we demonstrate that this negative effect is primarily dominated by LMICs occupying prominent positions in international debt market networks, especially during the post-2008 financial crisis period. These findings emphasize the increasing importance of peripheral countries in the world system, which has been largely ignored in existing literature.

Decision fatigue experience of front-line nurses in the context of public health emergency: an interpretative phenomenological analysis

BackgroundDecision fatigue is a new concept in the field of psychology and refers to a state of fatigue alongside impaired cognitive processing and emotional regulation ability. Previous studies have confirmed that nurses are prone to decision fatigue, and nurses who experience decision fatigue may implement nursing measures that are inconsistent with clinical evidence, thus affecting patients’ benefits. COVID-19, as a large-scale global public health emergency, increased the workload and burden of nurses and aggravated decision fatigue. However, the factors leading to decision fatigue among nurses have not yet been identified.MethodsThis study is guided by interpretative phenomenology. During the epidemic period of COVID-19: From November 2022 to February 2023, a one-to-one, semi-structured in-depth interview was conducted among nurses with decision fatigue experience who were participating in front-line work in Jilin Province using homogenous sampling. The interview recordings and related data were transcribed into text within 24 h, and data analysis was assisted by NVivo 12.0 software.ResultsAfter a total of 14 front-line nurses were analyzed in this study, The thematic level reaches saturation, the findings present a persuasive and coherent narrative, and the study is terminated, and finally extracted and formed three core themes: “Cognition, influence and attitude of decision fatigue”, “Approaching factors of decision fatigue” and “Avoidant factors of decision fatigue”.ConclusionThis study confirmed that decision fatigue was widespread in the work of front-line nurses, affecting the physical and psychological health of nurses, the quality of nursing work, the degree of benefit of patients and the clinical outcome. However, nursing staff do not know enough about decision fatigue, so the popularization and research of decision fatigue should be strengthened. Improve the attention of medical institutions, nursing managers and nursing staff.Some suggestions are put forward for the intervention of decision fatigue through personnel, task, tool and technology, organization and environment.

Estimating the relationship between South China and Gondwana based on big data analysis

The situation of South China within the ancient continent Gondwana remains a topic of discussion and controversy. The reconstruction of South China's linking to East Gondwana is crucial for understanding the evolutionary history of the Gondwana breakup, the growth of Asia, and the development of the Paleo-Tethys Ocean. Based on the newly established database of detrital zircons (https://repository.deep-time.org), this study integrates UPb age dating and Hf isotope analysis of detrital zircons from Early Paleozoic strata in South China. The aim is to investigate potential sources, provenance, and reconstruct its tectono-paleogeography during the early Paleozoic on the northeast margin of Gondwana. The UPb age distributions from detrital zircon populations predominantly reveal peaks in the Paleoproterozoic, Mid/Neoproterozoic, and Early Paleozoic eras, ca. 2480, 960, 830, 520, and 440 Ma, with a minor peak at approximately 1750 Ma. The significant temporal shift in the major age populations from approximately 2480 to 440 Ma reveals the global continental crustal growth of South China through a sequence of subduction and collision processes. These geodynamic processes contributed to the development of the mid-Paleozoic Kwangsian intraplate orogeny in the late early Paleozoic (ca. 440 Ma) in South China, ultimately leading to the final assembly of Gondwana. The latter orogeny is marked by regional unconformity between pre-Devonian and Devonian strata, accompanied by prevalent magmatic and metamorphic events. These earliest Proterozoic and mid-Paleozoic detrital zircon grains match with ages from India- Tethyan Himalaya region, but different from those from East Antarctica, western margin of Australia and Lhasa Block where Australia and India were detached by the Kuunga Ocean, suggesting assembly and paleogeographical constraints of South China. It fully shows that South China is located on the northeast margin of the Indian during early Paleozoic, which is of great significance for the reconstruction of the tectonic paleogeography of the continent.

Practice patterns and clinical outcomes in acute appendicitis differ in the elderly patient.

Appendicitis is the most frequent global abdominal surgical emergency. An ageing population, who often exhibit atypical symptoms and delayed presentations, challenge conventional diagnostic and treatment paradigms. This study aims to delineate disparities in presentation, management, and outcomes between elderly patients and younger adults suffering from acute appendicitis. This subgroup analysis forms part of ESTES SnapAppy, a time-bound multi-center prospective, observational cohort study. It includes patients aged 15years and above who underwent laparoscopic appendectomy during a defined 90-day observational period across multiple centers. Statistical comparisons were performed using appropriate tests with significance set at p < 0.05. The study cohort comprised 521 elderly patients (≥65years) and 4,092 younger adults (18-64years). Elderly patients presented later (mean duration of symptoms: 7.88 vs. 3.56days; p < 0.001) and frequently required computed tomography (CT) scans for diagnosis (86.1% vs. 54.0%; p < 0.001). The incidence of complicated appendicitis was higher in the elderly (46.7% vs. 20.7%; p < 0.001). Delays in surgical intervention were notable in the elderly (85.0% operated within 24h vs. 88.7%; p = 0.018), with longer operative times (71.1 vs. 60.3min; p < 0.001). Postoperative complications were significantly higher in the elderly (27.9% vs. 12.9%; p < 0.001), including severe complications (6.9% vs. 2.4%; p < 0.001) and prolonged hospital stays (7.9 vs. 3.6days; p < 0.001). Our findings highlight significant differences in the clinical course and outcomes of acute appendicitis in the elderly compared to younger patients, suggesting a need for age-adapted diagnostic pathways and treatment strategies to improve outcomes in this vulnerable population.

Evaluating high-resolution aviation emissions using real-time flight data

Amidst robust global economic growth and advancing globalization, the aviation market is poised for significant expansion. Consequently, the environmental impact of aviation emissions is growing in significance. However, due to limitations in real flight data and aviation emissions index models, further clarification of the emission characteristics throughout entire flights is necessary. To better assess the emission characteristics of entire flights, this study employs real Quick Access Recorder (QAR) data and a high-precision aviation emissions index model, yielding four-dimensional emission data (time, longitude, latitude, altitude) from flights. The analysis compares QAR data with emissions from scheduled flight data (SFD) and Broadcast Automatic Correlation Monitoring (ADS-B) projections, explores seasonal variations in aviation emissions, and assesses the impact of sustainable aviation fuels (SAFs) on emissions reductions. For both number and mass of nvPM emissions, as well as nitrogen oxide emissions, the rankings are: ADS-B-E > SFD-E > QAR-E; for CO, SFD-E > ADS-B-E > QAR-E, particularly during the climb-cruise-descent (CCD) cycle. There are significant differences in the emission of aviation pollutants in airport area and high-altitude area in different seasons. Employing four types of Sustainable Aviation Fuels (SAFs) significantly reduces both the mass and the number of nvPM emissions. Therefore, it is recommended to utilize more QAR data to refine the assessment of the environmental impact of aviation emissions.

Efficacy of lyophilized Lactobacillus sakei as a potential candidate for preventing carbapenem-resistant Klebsiella infection

BackgroundAntimicrobial resistance is considered one of the greatest threats to human health, according to the World Health Organization (WHO). Gram-negative bacteria, especially carbapenem-resistant Enterobacteriaceae (CRE), have become a significant concern in antimicrobial-resistant bacteria’s global emergence and spread. Among CRE pathogens, carbapenem-resistant Klebsiella pneumoniae (CRKP) has recently been reported as a highly infectious strain associated with high mortality and morbidity in adults and immunocompromised patients. Additionally, CRKP-related infections are challenging to treat, as carbapenems are the last resort of antibiotics. Therefore, developing novel drugs with different mechanisms of action from existing drugs is urgently required to defeat this lethal menace. Under such circumstances, probiotics can be therapeutic candidates for inhibiting pathogens. Thus, our research team has been focusing on probiotics for a long time to develop potential anti-CRKP drug agents.MethodsAfter extensive efforts, we finally found a novel probiotic strain, Lactobacillus sakei PMC104, suitable for treating CRKP infection. It was isolated from kimchi. As part of our expansion into therapeutic development, we evaluated the L. sakei strain effect against CRKP pathogens in both in vitro and in vivo experiments. Moreover, we conducted media optimization at food grade and then established a scale-up process on a pilot scale. Subsequently, a lyophilizate was obtained and used in a mouse model infected with CRKP.ResultsData demonstrated that the L. sakei strain has an inhibitory effect against CRKP infection both in in vitro and in vivo experiments and also increases the level of short-chain fatty acids in the feces of mice after receiving L. sakei strain treatment for 10 days. Furthermore, treatment with L. sakei powder remarkably diminished body weight loss, mortality, and illness severity in CRKP-infected mice, showing a preventive effect of our PMC 104 against CRKP infection.DiscussionOur results demonstrate the potential therapeutic effect of our candidate probiotic strain against CRKP, suggesting that L. sakei PMC 104 could be considered an antimicrobial candidate for treating CRKP infections. However, extensive studies, including additional toxicity tests and clinical trials, are still essential to develop it as a new anti-CRKP therapeutic agent.

An Analysis of Tiny Houses through a Viewpoint on Preferences, Satisfaction, and Expectations of Residents

In recent years, there has been a significant increase in the prevalence of tiny houses, reflecting the worldwide trend of this favored living option. Scientific study on tiny houses has experienced a modest global growth in recent years, even though the notion of tiny houses has only been lately introduced to Turkish literature. Information on tiny houses is mostly available through various media channels, including television, newspapers, magazines, and social media platforms, in our country. This article seeks to examine the concept and current popularity of tiny houses, while also assessing user preferences and levels of satisfaction. User satisfaction was evaluated based on data obtained from twenty interviews conducted with owners of small-scale dwellings. The primary results suggest that individuals who exhibit a preference for residing in tiny houses have an awareness of the disparities and challenges they are likely to face. The appealing qualities of the house extends beyond its physical appearance. The mere existence of a location, regardless of its size, situated in a calm and peaceful environment, far from chaos and confusion, where individuals have a sense of belonging, is enough to satisfy their needs.

The Range of Influence across Commercial Glass Fiber Separators on the Cycling of the Zinc Metal Anode

Aqueous zinc-ion batteries (AZIBs) have attracted significant research attention due to their promising potential for large-scale energy storage applications in support of the rapid global growth of renewable wind and solar energy generation. However, challenges associated with the limited cycling life and low energy density of AZIBs persist as the critical limiting factors preventing their practical use in utility-scale energy storage applications [1]. Throughout zinc-ion research working to address these challenges, commercial glass fiber (GF) membranes are often used as the separator in studies investigating cathode, electrolyte, and anode designs [2]. Nevertheless, commercial GF membranes are available with a range of physicochemical properties, and the specific details of the selected membrane are often missing in published studies. In our work, we systematically compare Whatman™ GF separators (GF/A, GF/B, GF/C, GF/D, and GF/F) to assess the influence of the separator’s physicochemical properties (i.e., pore size and thickness) on the cycling life and cell-to-cell variability across multiple trials of Zn|Zn cells. Under constant current cycling, significant differences were observed in the cycling life and cell-to-cell consistency depending on the pore size and thickness of the GF separator [3]. In addition, our use of micro-computed X-ray tomography explores the associations between the separator’s pore size and zinc deposition morphology and provides visual identification of the failure mechanism corresponding with an overpotential collapse. The results of this work clarify the importance of GF separator selection and the separator’s influence to support the improvement of other cell components.

Penanganan Guest Request oleh Guest Service Center di Department Front Office Hotel Sheraton Mustika Yogyakarta Resort &amp; Spa

Handling Guest Requests by the Guest Service Center in the Front Office Department at Sheraton Mustika Yogyakarta Resort &amp; Spa.In the era of globalization and rapid growth in the tourism industry, hotel service has become a crucial aspect in ensuring customer satisfaction. The COVID-19 pandemic has changed the dynamics of the hospitality industry, and as recovery progresses, it is important for hotels to enhance the quality of their services to attract customers back. Sheraton Mustika Yogyakarta Resort &amp; Spa, with its unique architecture and luxurious facilities, has seen an increase in occupancy post-pandemic, especially during high seasons like religious celebrations and major holidays. The task of ensuring customer satisfaction is handled by the Guest Service Center, and it is not an easy task. This department serves as the hub for all guest information and requests, acting as the front line in direct contact with hotel guests. Every agent in the Guest Service Center must possess skills such as proper speaking etiquette, telephone etiquette, quick response, and diplomatic actions to achieve a good image, ensuring that guests are satisfied with the service provided. The purpose of this research is to analyze the request handling process, identify the challenges, and find the solutions implemented by the Guest Service Center at Sheraton Mustika Yogyakarta Resort &amp; Spa. The results of this research are expected to be used to improve service quality and has been assisted with a good customer complaint handling system.

Assessing the impact of COVID-19 management on the workload of human resources working in India’s National Tuberculosis Elimination Program

BackgroundIn 1993, WHO declared tuberculosis (TB) as a global health emergency considering 10 million people are battling TB, of which 30% are undiagnosed annually. In 2020 the COVID-19 pandemic took an unprecedented toll on health systems in every country. Public health staff already engaged in TB control and numerous other departments were additionally tasked with managing COVID-19, stretching human resource (HR) capacity beyond its limits. As part of an assessment of HR involved in TB control in India, The World Bank Group and partners conducted an analysis of the impact of COVID-19 on TB human resources for health (HRH) workloads, with the objective of describing the extent to which TB-related activities could be fulfilled and hypothesizing on future HR requirements to meet those needs.MethodsThe study team conducted a Workload Indicators and Staffing Needs (WISN) analysis according to standard WHO methodology to classify the workloads of priority cadres directly or indirectly involved in TB control activities as over-, adequately or under-worked, in 18 districts across seven states in India. Data collection was done via telephone interviews, and questions were added regarding the proportion of time dedicated to COVID-19 related tasks. We carried out quantitative analysis to describe the time allocated to COVID-19 which otherwise would have been spent on TB activities. We also conducted key informant interviews (KII) with key TB program staff about HRH planning and task-shifting from TB to COVID-19.ResultsWorkload data were collected from 377 respondents working in or together with India’s Central TB Division (CTD). 73% of all respondents (n = 270) reported carrying out COVID-19 tasks. The average time spent on COVID-19 tasks was 4 h / day (n = 72 respondents). Multiple cadres highly instrumental in TB screening and diagnosis, in particular community outreach (ASHA) workers and CBNAAT/TrueNAAT laboratory technicians working at peripheral, block and district levels, were overworked, and spending more than 50% of their time on COVID-19 tasks, reducing time for TB case-finding. Qualitative interviews with laboratory technicians revealed that PCR machines previously used for TB testing were repurposed for COVID-19 testing.ConclusionsThe devastating impact of COVID-19 on HR capacity to conduct TB case-finding in India, as in other settings, cannot be overstated. Our findings provide clear evidence that NTEP human resources did not have time or essential material resources to carry out TB tasks during the COVID pandemic without doing substantial overtime and/or compromising on TB service delivery. To minimize disruptions to routine health services such as TB amidst future emerging infectious diseases, we would do well, during periods of relative calm and stability, to strategically map out how HRH lab staff, public health resources, such as India’s Health and Wellness Centers and public health cadre, and public-private sector collaboration can most optimally absorb shocks to the health system.

An Epidemiological Assessment of SARS-CoV-2 in the Sewage System of a Higher Education Institution.

Background: The World Health Organization declared the end of the COVID-19 pandemic in May 2023, three years after the adoption of global emergency measures. Monitoring of SARS-CoV-2 in sewage underscores its importance due to its effectiveness and cost-effectiveness, highlighting the need to prioritize research on water resources and sanitation. Objectives: The aim of this study was to conduct an epidemiological assessment of SARS-CoV-2 in the sewage system of a higher education institution located in Vitória Espírito Santo State, Maruípe campus. Methods: Over a period of 66 days, from February 6 to April 12, 2023, 15 samples were collected. Each sample consisted of 1 L, collected in 1 hour, with 250 mL collected every 15 minutes. The samples were characterized by assessing their appearance, and pH was measured using a Horiba U-50 multiparameter probe. The extracted RNA was subjected to RT-qPCR using the Allplex™ 2019-nCovAssay Seegene kit. Results: The samples exhibited a cloudy appearance with impurities, and the pH ranged from 6.35 to 8.17. Among the evaluated samples, SARS-CoV-2 RNA was detected in two, and, by comparing this with the epidemiological bulletin issued by the State Health Department, an increase in cases in the state was observed during the collection period of these samples. Conclusions: Sewage monitoring proved to be an important tool in this post-pandemic period, serving as an alert and prevention mechanism for the population in relation to new outbreaks. Furthermore, it represents a low-cost mapping strategy and extensive testing of a population, aligning with the studies presented at the beginning of the pandemic. We recommend specific adjustments considering distinct populations.

North-South research collaboration during complex global emergencies: Qualitative knowledge production and sharing during COVID-19

Large multinational teams of academics and activist-practitioners that span the Global North-South divide have become common in qualitative research because of the reliance of field of peace and conflict studies on “local” knowledge and expertise. Complex global emergencies, such as the COVID-19 pandemic, present the opportunity to (re)shape and (re)consider these endeavors in key some ways. This article focuses on the involvement of South-based activist-practitioners in three large North-South collaborations, one pre-pandemic (Beyond Words: Implementing Latin American Truth Commission Recommendations), one ongoing when the pandemic began (Gender, Justice, and Security Hub), and one launched during the pandemic (Truth Commissions and Sexual Violence: African and Latin American Experiences). Drawing on center-periphery framework, we adopt an autoethnographic approach, to reflect on how the pandemic has not only reinforced existing structural and institutional asymmetries through reduced funding, professional uncertainty, and personal loss and insecurity but also added some new ethical concerns. This reality has tested both our capacity and commitment to work toward the decolonization of knowledge in the field. In making this argument, we seek to contribute to the discussion on research ethics and the politics of knowledge production and sharing in qualitative peace and conflict research.

Indicators of Wellness Among Social Work Students within an Urban Setting During Times of Crisis

ABSTRACT The emergence of a global emergency, Covid-19, forced social work programs to shift to virtual teaching, disrupting students’ learning abruptly. Social work students reported negative impacts from the pandemic on academic functioning as well as financial and emotional wellbeing. This study examines the relationships between demographic predictors (age, race, type of social work program, caregiver status, first-generation college student, household size) and challenges (emotional, academic/professional, financial, technological) social work students experienced during the pandemic. Participants included 332 BSW and MSW students from an urban university. Binomial regressions were conducted to determine the significance between student demographics and types of challenges. A Poisson regression was performed to determine the significance between student demographics and the total number of challenges. Students living in larger households, students with greater caregiver demands, BSW students, and students of color reported a greater number of challenges related to juggling school with caregiver demands, job searching, managing finances, food and housing, coping with grief and loss, and feeling disconnected with school (ps <.05). These findings contribute to the emerging body of literature on the impact of COVID-19 by informing ways social work schools can better address students’ educational, professional, financial, and emotional wellbeing during times of worldwide crisis.

Global urban structural growth shows a profound shift from spreading out to building up

We present a new study examining the dynamics of global urban building growth rates over the past three decades. By combining datasets for 1,550+ cities from several space-borne sensors—data from three scatterometers and settlement-built fraction based on Landsat-derived data—we find profound shifts in how cities expanded from the 1990s to the 2010s. Cities had both increasing building fractional cover and increasing microwave backscatter (correlating with building volume), but over the three decades, growth rates in building fraction decreased in most regions and large cities, while growth rates in backscatter increased in essentially all regions and cities. The divergence in rates of increase of these metrics indicates a shift from lateral urban expansion to more vertical urban development. This transition has happened in different decades and to different extents across the world’s cities. Growth rate increases were largest in Asian cities. This shift toward vertical development has profound consequences for material and energy use, local climate and urban living.

An explainable approach to deep learning from CT-scans for Covid identification

AbstractThe Covid-19 disease has spread widely over the whole world since the beginning of 2020. Following the epidemic which started in Wuhan, China on January 30, 2020 the World Health Organization (WHO) declared a global health emergency and a pandemic. Researchers of different disciplines work along with public health officials to understand the SARS-CoV-2 pathogenesis and jointly with the policymakers urgently develop strategies to control the spread of this new disease. Recent findings have observed specific image patterns from computed tomography (CT) for patients infected by SARS-CoV-2 which are distinct from the other pulmonary diseases. In this paper, we propose an explainable-by-design that has an integrated image segmentation mechanism based on SLIC that improves the algorithm performance and the interpretability of the resulting model. In order to evaluate the proposed approach, we used the SARS-CoV-2 CT scan dataset that we published recently and has been widely used in the literature. The proposed Super-xDNN could obtain statistically better results than traditional deep learning approaches as DenseNet-201 and Resnet-152. Furthermore, it also improved the explainability and interpretability of its decision mechanism when compared with the xDNN basis approach that uses the whole image as prototype. The segmentation mechanism of Super-xDNN favored a decision structure that is more close to the human logic. Moreover, it also allowed the provision of new insights as a heat-map which highlights the areas with highest similarities with Covid-19 prototypes, and an estimation of the area affected by the disease.

Trends and Challenges after the Impact of COVID-19 and the Energy Crisis on Financial Markets

This review aims to examine the impact of increasing energy costs on the global economy, social cohesion, economic growth, and capital markets, with a particular focus on the consequences of the COVID-19 pandemic and the energy crisis intensified by the war in Ukraine. The methodology involves an extensive review of recent academic literature to cast light on these impacts. The study identifies significant disruptions in supply chains and heightened volatility in international capital markets due to these crises. Furthermore, the findings highlight the resulting challenges for policymakers, academics, market analysts, and professionals in addressing corporate sustainability in an increasingly uncertain environment. This paper underscores the continued relevance of energy issues as a central concern, both independently and in connection with broader economic sectors. Additionally, it discusses the importance of policy measures to enhance energy security and the transition towards sustainable energy solutions to mitigate these challenges and foster economic resilience.

A Multi-Area Task Path-Planning Algorithm for Agricultural Drones Based on Improved Double Deep Q-Learning Net

With the global population growth and increasing food demand, the development of precision agriculture has become particularly critical. In precision agriculture, accurately identifying areas of nitrogen stress in crops and planning precise fertilization paths are crucial. However, traditional coverage path-planning (CPP) typically considers only single-area tasks and overlooks the multi-area tasks CPP. To address this problem, this study proposed a Regional Framework for Coverage Path-Planning for Precision Fertilization (RFCPPF) for crop protection UAVs in multi-area tasks. This framework includes three modules: nitrogen stress spatial distribution extraction, multi-area tasks environmental map construction, and coverage path-planning. Firstly, Sentinel-2 remote-sensing images are processed using the Google Earth Engine (GEE) platform, and the Green Normalized Difference Vegetation Index (GNDVI) is calculated to extract the spatial distribution of nitrogen stress. A multi-area tasks environmental map is constructed to guide multiple UAV agents. Subsequently, improvements based on the Double Deep Q Network (DDQN) are introduced, incorporating Long Short-Term Memory (LSTM) and dueling network structures. Additionally, a multi-objective reward function and a state and action selection strategy suitable for stress area plant protection operations are designed. Simulation experiments verify the superiority of the proposed method in reducing redundant paths and improving coverage efficiency. The proposed improved DDQN achieved an overall step count that is 60.71% of MLP-DDQN and 90.55% of Breadth-First Search–Boustrophedon Algorithm (BFS-BA). Additionally, the total repeated coverage rate was reduced by 7.06% compared to MLP-DDQN and by 8.82% compared to BFS-BA.

The Influence of Sports Brand Image on Consumer Preferences and Behavioral Tendencies: Lululemon and Anta as Examples

Amidst the surging enthusiasm and demand for fitness activities, there is keen interest in understanding how sportswear brand preferences influence consumer behavioral tendencies. Given Lululemon's rapid global emergence as a contemporary brand icon and Anta's status as a popular national brand in China, this paper endeavors to compare the two, examining their impact on consumer behavior. The objective extends to offering recommendations for brand image cultivation and product design within the athletic apparel sector.