bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive linear quadratic regulator for optimal structural control based on wavelet transform and genetic algorithm
Authors: Chha Haylim , Peng Yongbo 
Published: June 2023

PurposeIn real life, excitations are highly non-stationary in frequency and amplitude, which easily induces resonant vibration to structural responses. Conventional control algorithms in this case cannot guarantee cost-effective control effort and efficient structural response alleviation. To this end, this paper proposes a novel adaptive linear quadratic regulator (LQR) by integrating wavelet transform and genetic algorithm (GA).Design/methodology/approachIn each time interval, multiresolution analysis of real-time structural responses returns filtered time signals dominated by different frequency bands. Minimization of cost function in each frequency band obtains control law and gain matrix that depend on temporal-frequency band, so suppressing resonance-induced filtered response signal can be directly achieved by regulating gain matrix in the temporal-frequency band, leading to emphasizing cost-function weights on control and state. To efficiently subdivide gain matrices in resonant and normal frequency bands, the cost-function weights are optimized by a developed procedure associated to genetic algorithm. Single-degree-of-freedom (SDOF) and multi-degree-of-freedom (MDOF) structures subjected to near- and far-fault ground motions are studied.FindingsResonant band requires a larger control force than non-resonant band to decay resonance-induced peak responses. The time-varying cost-function weights generate control force more cost-effective than time-invariant ones. The scheme outperforms existing control algorithms and attains the trade-off between response suppression and control force under non-stationary excitations.Originality/valueProposed control law allocates control force amounts depending upon resonant or non-resonant band in each time interval. Cost-function weights and wavelet decomposition level are formulated in an elegant manner. Genetic algorithm-based optimization cost-efficiently results in minimizing structural responses.
From the land of Gama: event attachment scale (EAS) development exploring fans' attachment and their intentions to spectate at traditional gaming events
Authors: Rehman Junaid , Kashif Muhammad , Arumugam Thangaraja 
Published: June 2023

PurposeThe desire to spectate at traditional events and festivals in different countries is dying. From a marketing perspective, researchers and practitioners need to understand why people spectate at these conventional events and festivals. Data-driven marketing approaches can help event and festival marketing policymakers in attracting potential spectators. Drawing on attachment theory, the current study fills this void and explores fans' motivation and intentions to follow Kushti (i.e. traditional wrestling) events while developing a new event attachment scale (EAS).Design/methodology/approachThree comprehensive studies were conducted. First, an exploratory study where 12 retired wrestlers, considered hardcore fans of Kushti were interviewed. The collected data was analyzed using thematic analysis. Second, a pilot study (n = 204) was performed leading to a main survey (n = 365). The survey data was analyzed using exploratory and confirmatory factor analysis techniques.FindingsResults revealed five types of attachments (i.e., ground attachment, game attachment, emotional attachment, cultural attachment and player attachment). An important intervention is the unique elements within each of these attachments, which may motivate fans to follow traditional gaming events. The new scale offers excellent psychometric properties.Practical implicationsEvent and festival marketers should consider the role of tradition while marketing such events. The retired wrestlers can be used as influences/reference points to attract visitors to spectate at Kushti events. Furthermore, facilities such as smooth roads, approachable grounds and excellent service operations during these events can help policymakers to attract more spectators.Originality/valueThe study is unique in contextualizing Kushti and presenting a unique scale to measure fans' motivations and intentions to follow traditional gaming events.
How sales promotion influences consumers’ physical exercise and purchase behaviors: evidence from mobile exercise app data
Authors: Jang Seongsoo , Kim Hwang , Rao Vithala R. 
Published: June 2023

Purpose Firms can benefit from designing sales promotion based on the analysis of consumers' physical exercise and purchase data. This study aims to study mobile exercise app data to explore how purchasing a promoted or nonpromoted product affects exercisers’ subsequent exercise and purchase behaviors.Design/methodology/approach Drawing from the theoretical framework of overjustification effect, this study empirically examines the effects of the purchase of promoted – monetary and nonmonetary – or nonpromoted products on relationships (1) between past and subsequent exercise behaviors and (2) between past exercise and subsequent purchase behaviors. Novel data of one million exercise activities and purchase transactions created by 7,517 mobile exercise app users were collected.Findings The results reveal that monetary and nonmonetary promotions have a negative effect on overall consumers’ amount of physical exercise but increase heavy exercisers’ exercise amount. In addition, nonmonetary (monetary) promotion has a positive (negative) effect on consumers’ purchase expenditure but has no moderating effect on the exercise–expenditure relationship.Originality/value This study provides a theoretical framework explaining how to mitigate the dark side of sales promotions while targeting right exercise consumer segments with the right promotion campaigns.
Generation Z's COVID-19 risk perception and socially responsible behaviors influencing intentions to participate in the tourism stimulus campaign
Authors: Kharuhayothin Tanyatip , Kitiwong Weerapong , Chaitarin Warunya 
Published: June 2023

PurposeThis study leverages an integrated framework that uses the theory of planned behavior (TPB), risk perception and sustainable behavior to investigate the COVID-19 risk perception of a potentially powerful consumer group – generation Z – on decisions to participate in the domestic tourism stimulus campaign and their willingness to practice socially responsible behaviors.Design/methodology/approachSelf-administered questionnaires were used to collect data. The study adopts partial least squares-structural equation modelling (PLS-SEM) to examine the data with the final sample of 422 generation Z in Thailand.FindingsThe COVID-19 perceived risk positively affects attitudes, perceived behavioral control and the intention to join domestic tourism campaign, affecting the desire to engage in sustainable behaviors when traveling. Attitude and perceived behavioral control mediated risk perception and the decision to join the campaign. Unlike other studies, generation Z is conscious of the situation but is not risk-averse to travel.Practical implicationsThe study offers recommendations (and domestic tourism campaign's features) for government agencies and tourism partitioners, especially developing tourism destinations, to effectively launch domestic tourism campaigns to target generation Z during and after post-pandemic crises.Originality/valueThis study contributes to our limited understanding of generation Z's travel behaviors. It contributes to the extended use of TPB, risk perception and socially responsible conduct of such a specific generation. It is one of the first studies integrating the COVID-19 risk perception of generation Z and their intention to utilize the stimulus campaign.
Immersed in Coleman's bathtub: multilevel dynamics driving new venture survival in emerging markets
Authors: Franczak Jennifer , Pidduck Robert J. , Lanivich Stephen E. , Tang Jintong 
Published: June 2023

PurposeThe authors probe the relationships between country institutional support for entrepreneurship and new venture survival. Specifically, the authors unpack the nuanced influences of entrepreneurs' perceived environmental uncertainty and their subsequent entrepreneurial behavioral profiles and how this particularly bolsters venture survival in contexts with underdeveloped institutions for entrepreneurship.Design/methodology/approachColeman (1990) ‘bathtub’ framework is applied to develop a model and propositions surrounding how and when emerging market entrepreneur's perceptions of their countries institutional support toward entrepreneurship can ultimately enhance new venture survival.FindingsEntrepreneurs' interpretations of regulatory, cognitive and normative institutional support for private enterprise helps them embrace uncertainties more accurately reflective of “on the ground” realities and stimulates constructive entrepreneurial behaviors. These are critical for increasing survival prospects in characteristically turbulent, emerging market contexts that typically lack reliable formal resources for cultivating nascent ventures.Practical implicationsThis paper has implications for international policymakers seeking to stimulate and sustain entrepreneurial ventures in emerging markets. The authors shed light on the practical importance of understanding the social realities and interpretations of entrepreneurs in a given country relating to their actual perceptions of support for venturing—cautioning a tendency for outsiders to over-rely on aggregated econometric indices and various national ‘doing business' rankings.Originality/valueThis study is the first to create a conceptual framework on the mechanisms of how entrepreneurs in emerging economies affect new venture survival. Drawing on Coleman's bathtub (1990), the authors develop propositional arguments for a multilevel sequential framework that considers how developing economies' country institutional profiles (CIP) influence entrepreneurs' perceptions of environmental uncertainty. Subsequently, this cultivates associated entrepreneurial behavior profiles, which ultimately enhance (inhibit) venture survival rates. Further, the authors discuss the boundary conditions of this regarding how the national culture serves to moderate each of these key relationships in both positive and negative ways.
Research on digital intelligence business model based on artificial intelligence in post-epidemic era
Authors: Lv Bo , Deng Yue , Meng Wei , Wang Zeyu , Tang Tingting 
Published: June 2023

PurposeThe 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic normalization is slowing down China's rapid development. However, technological development, like artificial intelligence (AI), is unstoppable and is transforming China's economic growth modes from factor-driven to innovation-driven systems. Therefore, it is necessary to study further the new changes in labor entrepreneurship and innovation business models and their mechanism of action on economic growth.Design/methodology/approachThis work studies how innovative human capital (IHC) uses AI and other scientific and technological (S&T) innovation technologies to promote China's innovation-driven economic growth model transformation from the labor entrepreneurship and innovation perspective.FindingsThe research shows that the entrepreneurial innovation ability of IHC can increase marginal return and output multiplier effect. It changes the traditional business model and promotes China's economic growth and innovation development. At the same time, this work analyzes China's inter-provincial panel data through the panel smooth transition regression (PSTR) model. It concludes that there is a nonlinear relationship between IHC and the output of innovative achievements. The main body presents three stages of nonlinear changes: first rising, then slightly declining, and rising so far.Originality/valueThe finding provides a direction for solving the problem of slow economic growth and accelerating the transformation of economic growth mode under epidemic normalization.
Plant litter chemistry drives long‐lasting changes in the catabolic capacities of soil microbial communities
Authors: Bourget Malo Y. , Fanin Nicolas , Fromin Nathalie , Hättenschwiler Stephan , Roumet Catherine , Shihan Ammar , Huys Raoul , Sauvadet Marie , Freschet Grégoire T. 
Published: June 2023

AbstractAlthough microbial communities play an important role in explaining plant litter decomposition rates, whether and how litter chemistry may alter catabolic capacities of soil microbial communities remains poorly studied.During a 1‐year litter decomposition experiment of 12 herbaceous species with contrasting litter chemistry, we examined the effect of plant litter type (roots vs. leaves) and litter chemical traits on the resulting capacity of soil microbial communities to degrade a wide range of carbon substrates of variable complexity (MicroResp™ method).Litter chemistry impacted both the total catabolic activity as well as specific catabolic capacities of microbial communities. In the early stages of litter decomposition total catabolic activity was mainly influenced by the amount of C and N in litter leachates, and litter N, P and Mg, then, later, by lignin concentrations. Some specific catabolic capacities could also be related to litter initial chemistry. Overall, litter trait effects on soil microbial communities decreased over time and the relative importance of traits shifted during the decomposition process.Our results highlight that litter chemistry is a strong driver of catabolic capacities of microbial decomposers and, while its effect fades with time, it remains substantial throughout the litter decomposition process. These long‐lasting effects of litter chemistry suggest a persistent control on microbial catabolic capacities in ecosystems with recurrent litter production. Soil microbial catabolic activities were driven by broadly the same chemical traits across leaf and root litters.Synthesis. Such long‐lasting effects of litter chemistry on catabolic capacities of microbial communities may represent a substantial indirect driver of the decomposition process. Disentangling the relative importance of this overlooked effect of litter chemistry on decomposition represents the next challenge. We argue that such research line should open ground‐breaking perspectives for reconsidering our current understanding of the mechanistic links between litter traits and decomposition rate.Read the freePlain Language Summaryfor this article on the Journal blog.
Drought intensity alters productivity, carbon allocation and plant nitrogen uptake in fast versus slow grassland communities
Authors: Oram Natalie J. , Ingrisch Johannes , Bardgett Richard D. , Brennan Fiona , Dittmann Georg , Gleixner Gerd , Illmer Paul , Praeg Nadine , Bahn Michael 
Published: June 2023

Abstract

Grasslands face more frequent and extreme droughts; yet, their responses to increasing drought intensity are poorly understood. Increasing drought intensity likely triggers abrupt shifts (thresholds) in grassland ecosystem functioning which can implicate recovery trajectories.

Here, we determined how drought intensity affects plant productivity, and plant–soil carbon (C) and nitrogen (N) cycling. We exposed model grassland plant communities with contrasting resource acquisition strategies (a fast‐ vs a slow‐strategy plant community), to a gradient of drought intensity. The drought gradient ranged from well‐watered to severely water‐limited conditions. We identified thresholds of plant community productivity (above‐ground biomass) at peak drought and 2 months after re‐wetting, and measured net ecosystem exchange and ecosystem respiration of C throughout the drought and recovery phases. At peak drought and 1 week after re‐wetting, we traced recently acquired C from plants to the soil and into microbial biomass and fatty acids using 13C pulse labelling, and measured plant and soil N.

At peak drought, slow‐strategy plant communities were more drought resistant than fast‐strategy communities, as the threshold in plant productivity occurred at a higher drought intensity for the slow‐ than the fast‐strategy community. Shortly after re‐wetting, microbial uptake of recent plant‐assimilated C increased with increasing past drought intensity, coinciding with an increase in soil N availability and leaf N. Threshold responses to drought intensity at peak drought translated into non‐linear recovery responses, with greater compensatory growth in the fast‐strategy community. At peak drought, increasing drought intensity reduced C uptake and increased relative C partitioning to leaves and microbial biomass. Upon re‐wetting, plant community strategy mediated drought intensity effects on plant and soil C and N dynamics and plant recovery trajectories. The fast‐strategy community recovered quickly, with higher leaf N than the slow community, while the slow community increased C allocation to microbial biomass.

Synthesis. Our findings highlight that C and N dynamics in the plant–soil system display non‐linear responses to increasing drought intensity both during and after drought, which has implications for plant community recovery trajectories.
Using model systems to unravel host–Pseudomonas aeruginosa interactions
Authors: Grandy Shannen , Scur Michal , Dolan Kathleen , Nickerson Rhea , Cheng Zhenyu 
Published: June 2023

AbstractUsing model systems in infection biology has led to the discoveries of many pathogen‐encoded virulence factors and critical host immune factors to fight pathogenic infections. Studies of the remarkable Pseudomonas aeruginosa bacterium that infects and causes disease in hosts as divergent as humans and plants afford unique opportunities to shed new light on virulence strategies and host defence mechanisms. One of the rationales for using model systems as a discovery tool to characterise bacterial factors driving human infection outcomes is that many P. aeruginosa virulence factors are required for pathogenesis in diverse different hosts. On the other side, many host signalling components, such as the evolutionarily conserved mitogen‐activated protein kinases, are involved in immune signalling in a diverse range of hosts. Some model organisms that have less complex immune systems also allow dissection of the direct impacts of innate immunity on host defence without the interference of adaptive immunity. In this review, we start with discussing the occurrence of P. aeruginosa in the environment and the ability of this bacterium to cause disease in various hosts as a natural opportunistic pathogen. We then summarise the use of some model systems to study host defence and P. aeruginosa virulence.
Spontaneous haemoperitoneum in pregnancy: Nationwide surveillance and Delphi audit system
Authors: Schreurs Anneke M. F. , Overtoom Evelien M. , de Boer Marjon A. , van der Houwen Lisette E. E. , Lier Marit C. I. , van den Akker Thomas , Cornette Jerome , Vogelvang Tatjana E. , Beenakkers Ingrid C. M. , Rosman Ageeth N. , Maas Jacques W. M. , Heineman David J. , Finken Martijn J. J. , de Vries Jan J. J. , Burger Nicole B. , Schaap Timme P. , Bloemenkamp Kitty W. M. , Mijatovic Velja 
Published: June 2023

AbstractObjectiveTo evaluate the incidence, diagnostic management strategies and clinical outcomes of women with spontaneous haemoperitoneum in pregnancy (SHiP) and reassess the definition of SHiP.DesignA population‐based cohort study using the Netherlands Obstetric Surveillance System (NethOSS).SettingNationwide, the Netherlands.PopulationAll pregnant women between April 2016 and April 2018.MethodsThis is a case study of SHiP using the monthly registry reports of NethOSS. Complete anonymised case files were obtained. A newly introduced online Delphi audit system (DAS) was used to evaluate each case, to make recommendations on improving the management of SHiP and to propose a new definition of SHiP.Main outcome measuresIncidence and outcomes, lessons learned about clinical management and the critical appraisal of the current definition of SHiP.ResultsIn total, 24 cases were reported. After a Delphi procedure, 14 cases were classified as SHiP. The nationwide incidence was 4.9 per 100 000 births. Endometriosis and conceiving after artificial reproductive techniques were identified as risk factors. No maternal and three perinatal deaths occurred. Based on the DAS, adequate imaging of free intra‐abdominal fluid, and identifying and treating women with signs of hypovolemic shock could improve the early detection and management of SHiP. A revised definition of SHiP was proposed, excluding the need for surgical or radiological intervention.ConclusionsSHiP is a rare and easily misdiagnosed condition that is associated with high perinatal mortality. To improve care, better awareness among healthcare workers is needed. The DAS is a sufficient tool to audit maternal morbidity and mortality.
A comprehensive review of mung bean proteins: Extraction, characterization, biological potential, techno‐functional properties, modifications, and applications
Authors: Li Shiyu , Feng Xuewei , Hao Xiyu , Zhu Yingying , Zou Liang , Chen Xin , Yao Yang 
Published: June 2023

AbstractThe popularity of plant‐based proteins has increased, and mung bean protein (MBP) has gained immense attention due to its high yield, nutritional value, and health benefits. MBP is rich in lysine and has a highly digestible indispensable amino acid score. Dry and wet extractions are used to extract MBP flours and concentrates/isolates, respectively. To enhance the quality of commercial MBP flours, further research is needed to refine the purity of MBPs using dry extraction methods. Furthermore, MBP possesses various biological potential and techno‐functional properties, but its use in food systems is limited by some poor functionalities, such as solubility. Physical, biological, and chemical technologies have been used to improve the techno‐functional properties of MBP, which has expanded its applications in traditional foods and novel fields, such as microencapsulation, three‐dimensional printing, meat analogs, and protein‐based films. However, study on each modification technique remains inadequate. Future research should prioritize exploring the impact of these modifications on the biological potential of MBP and its internal mechanisms of action. This review aims to provide ideas and references for future research and the development of MBP processing technology.
Tarasoff in Missouri: The jurisprudence of a mental health provider's duty to warn and protect non‐patients of potential risks from patients
Authors: Boulos Nathalie , Mallela Divya , Felthous Alan 
Published: June 2023

AbstractIn 1976, the Supreme Court of California issued its well‐known Tarasoff Principle. From this principle, other courts found a duty to warn, and some found more than just a duty to warn, a duty to protect. As courts in other states adopted a version of the Tarasoff Principle, they issued a wide variety of third‐party liability rules. In light of the dynamic, everchanging Tarasoff jurisprudence in the United States and recent relevant appellate court opinion in Missouri, a timely updated summary and update of Tarasoff‐related jurisprudence in Missouri is warranted. In the present analysis, we compiled the four appellate court decisions that pertained to the questions of Tarasoff‐like third‐party liability in the State of Missouri:Sherrill v. Wilson(1983),Matt v. Burrell(1995),Bradley v. Ray(1995), andVirgin v. Hopewell(2001). We reviewed all legal measures for clinicians to protect nonpatients in Missouri, not just those that relate to protecting nonpatients from violence as in a Tarasof‐like scenario. Thus, this paper concisely provides a compendium of such options and allows for a meaningful comparison of which legal, protective measures are mandatory and which are permissive, thereby evoking the question of whether measures of protecting nonpatients from a patient's violent acts ought to be mandatory duties or permissive application of professional judgment.