bluuebunny/crossref_metadata_2025_split huggingface dataset:
For whom does flow not enhance online gamer loyalty?
Authors: Pham Thi Tuan Linh , Huang Han-Chung , Tseng Fan-Chen , Cheng T.C.E. , Teng Ching-I 
Published: October 2021

PurposeFlow, or total concentration with intrinsic enjoyment, has been recognized as being able to enhance online gamer loyalty. However, some gamers who experience flow do not exhibit strong loyalty, posing the vital research question asking for whom flow would not enhance loyalty. Limited knowledge on this issue may lead game providers to assume that flow is influential in strengthening loyalty among all gamers, thus leading to suboptimal resource allocation and reduced effectiveness in retaining gamers. The purpose of the paper is to examine how gaming experience and gaming intensity moderate the impact of flow on online gamer loyalty.Design/methodology/approachIn the paper, the hypotheses were tested using responses from 273 gamers.FindingsThe findings show that flow and gaming experience positively impact gamer loyalty. Gaming experience reduces the positive relationship between flow and gamer loyalty. However, gaming intensity does not reduce.Practical implicationsGame providers should focus on creating a flow experience to strengthen the loyalty of gamers with short-gaming experience. However, game providers should devise other means to strengthen loyalty among gamers with long-gaming experience.Originality/valueThe study challenged the assumption of flow theory, i.e. that flow always determines loyalty. Instead, the paper offers a moderator – gaming experience – which sets a boundary condition for this theory. Flow works well only among gamers with relatively short-gaming experience. The study also extended the literature on gaming experience by uniquely indicating its attenuating effect on the relation between flow and loyalty.
Herbivore grazing mitigates the negative effects of nitrogen deposition on soil organic carbon in low‐diversity grassland
Authors: Li Guangyin , Cai Jinting , Song Xuxin , Pan Xiaobin , Pan Duofeng , Jiang Shicheng , Sun Jinyan , Zhang Minna , Wang Ling 
Published: October 2021

Abstract

Changes in soil carbon (C) sequestration in grassland ecosystems have important impacts on the global C cycle. As such, it is important that researchers better understand the underlying mechanisms affecting soil C. Increasing evidence has shown that atmospheric nitrogen (N) deposition can cause dramatic changes in grassland soil C. It remains unclear whether herbivore grazing, a primary means to manage and utilize grassland resources, can regulate the effects of N deposition on soil C, and whether these effects are dependent on plant community diversity.

Here, we examined the joint effects of herbivore grazing and N‐addition on soil organic C (SOC) stocks in two types of communities with low and high plant diversity respectively.

Our results showed that the effects of N‐addition and its combination with herbivore grazing on grassland SOC were inconsistent in the two types of communities. In the low‐diversity community, N‐addition greatly decreased SOC stocks, while grazing significantly increased it. Additionally, the grazing‐induced increase in soil C stocks in the presence of N‐addition was so great that it completely counteracted the significant decline in SOC induced by N‐addition. However, in the high‐diversity community, we observed no effects of N‐addition on SOC and grazing increased SOC only in the absence of N‐addition and had no significant effect in the presence of N‐addition.

Synthesis and applications. Our study suggests that increased N deposition can trigger a remarkable reduction in soil C sequestration in grasslands with low plant diversity, but that herbivore grazing can offset this decline, which may help to mitigate greenhouse gas emissions caused by atmospheric N deposition. As a result, we suggest that moderate herbivore grazing should be considered as an effective grassland management measure for maintaining and improving grassland soil C sequestration as the increasing global changes such as elevated atmospheric carbon dioxide, N deposition and biodiversity losses threat.
Pollination efficiency and pollen limitation in bistaminate vs tetrastaminate Lamiaceae
Authors: Naghiloo Somayeh , Nikzat‐Siahkolaee Sedigheh , Esmaillou Zahra , Claßen‐Bockhoff Regine 
Published: October 2021

AbstractThe evolution of bilabiate flowers in Lamiaceae has several times led to a reduction in stamen number. It is generally assumed that stamen reduction goes along with decreasing pollen production. One should, therefore, expect that bistaminate flowers have either a more efficient pollen transfer mechanism or a higher selfíng rate than tetrastaminate species to adapt to the stamen reduction. We tested this hypothesis in a community of Lamiaceae including three bistaminate and three tetrastaminate species. The results of selfing experiments, extra‐pollination, counting pollen number, and stigmatic pollen load analysis were used to calculate the autonomous selfing index, the pollen limitation index, and the pollination efficiency index. The results indicate a significantly lower pollen number in bistaminate flowers than in tetrastaminate flowers of similar anther size. Bistaminate species shared a higher selfing rate which was related to their structural adaptation to delayed selfing. In Ziziphora clinopodioides, the delayed selfing was accompanied by low pollination efficiency, and plants suffered from pollen limitation at the location studied. However, in Salvia sclarea and Salvia hypoleuca, which benefited from a relatively high pollination efficiency, no pollen limitation was observed. Our results reveal a close association between adaptive mechanisms such as increasing precision of pollen transfer and evolution of delayed selfing with stamen reduction in bistaminate Lamiaceae.
The effects of climate change and fluctuations on the riparian bird communities of the arid Intermountain West
Authors: Neate‐Clegg M. H. C. , Horns J. J. , Buchert M. , Pope T. L. , Norvell R. , Parrish J. R. , Howe F. , Şekercioğlu Ç. H. 
Published: October 2021

AbstractRiparian corridors are critical refuges for biodiversity in arid regions like the southwestern US. Birds in particular rely on these habitats for breeding and as migratory stopover sites within a resource‐scarce landscape. Climate change is likely to affect the distribution of resources across such landscapes and how birds use riparian zones. In this study, we used 15 years of bird‐banding data (1994–2008) from eight riparian sites across the state of Utah to examine the effects of variation in climate and vegetation on birds at the community and population level. We used generalized linear mixed models to analyze the effects of temperature, precipitation, El Niño Southern Oscillation (ENSO) and Normalized Difference Vegetation Index (NDVI) on daily total captures, species richness and community composition. We found that total captures and species richness increased in hotter, drier, less green years and in El Niño years, and the relationships were more pronounced for non‐riparian species than for species breeding in riparian zones. We also found changes in community composition in relation to temperature and precipitation. At the population level, we used capture–mark–recapture (CMR) models to analyze the effects of these covariates on the rates of population growth, recruitment and apparent survival. We found that population growth rates were negatively associated with temperature and ENSO for roughly half of the focal species. This pattern was almost entirely due to lower recruitment, likely caused by the combination of fewer resources and increased competition from the influx of non‐riparian birds into riparian oases. Our results have important implications for arid areas which are expected to become hotter and drier. Reducing other anthropogenic threats to riparian corridors, such as cattle grazing and water management, is likely to increase the resilience to climate change of riparian habitats and their avian residents.
Editorial: brain‐gut research needs objective measures of disease activity and mental disorders—authors’ reply
Authors: Mules Thomas C. , Swaminathan Akhilesh , Gearry Richard B. 
Published: October 2021

LINKED CONTENTThis article is linked to Mules et al and Mikocka‐Walus & Knowles papers. To view these articles, visit https://doi.org/10.1111/apt.16616 and https://doi.org/10.1111/apt.16639
Excess polyspermy reduces the ability of porcine oocytes to promote male pronuclear formation after in vitro fertilization
Authors: Nguyen Hiep Thi , Dang‐Nguyen Thanh Quang , Somfai Tamas , Men Nguyen Thi , Beck‐Woerner Barbara , Viet Linh Nguyen , Xuan Nguyen Bui , Noguchi Junko , Kaneko Hiroyuki , Kikuchi Kazuhiro 
Published: October 2021

AbstractMale pronucleus (MPN) formation is a very important physiological event during fertilization, which affects in vitro production of transferrable embryos. The aim of this study was to find out the correlation between the number of penetrated sperm and the occurrence of failure of MPN formation in porcine oocytes. In vitro matured porcine oocytes were fertilized in vitro with frozen epididymal sperm. Two different frozen sperm lots were tested in this study, which were different in terms of polyspermy rates. The numbers and the status of penetrated sperm in oocytes were evaluated 10 h after insemination. Under high polyspermy condition, the polyspermy rate was 83.5% with an average mean of 3.5 sperms per penetrated oocyte, whereas the percentage of polyspermy was 65.5% with an average mean of 2.4 sperms per penetrated oocyte under moderate polyspermic condition. Correlation analysis revealed a negative correlation between the number of penetrated sperm and their MPN formation percentage both in the sperm lot of high polyspermy (R = −0.560, p < 0.05) and in the sperm lot of moderate polyspermy (R = −0.405, p < 0.05) which suggests that penetration of excessive spermatozoa disables the oocyte cytoplasm to promote MPN formation.
c4c: Paediatric pharmacovigilance: Methodological considerations in research and development of medicines for children – A c4c expert group white paper
Authors: Aurich Beate , Apele‐Freimane Dina , Banaschewski Tobias , Chouchana Laurent , Day Simon , Kaguelidou Florentia , Kelly Lauren E. , Kindblom Jenny M. , Neubert Antje , Wong Ian C. K. 
Published: October 2021

Children frequently respond differently to therapies compared to adults. Differences also exist between paediatric age groups for pharmacokinetics and pharmacodynamics in both efficacy and safety. Paediatric pharmacovigilance requires an understanding of the unique aspects of children with regard to, for example, drug response, growth and development, clinical presentation of adverse drug reactions (ADRs), how they can be detected and population‐specific factors (e.g., more frequent use of off‐label/unlicensed drugs). In recognition of these challenges, a group of experts has been formed in the context of the conect4children (c4c) project to support paediatric drug development. This expert group collaborated to develop methodological considerations for paediatric drug safety and pharmacovigilance throughout the life‐cycle of medicinal products which are described in this article.These considerations include practical points to consider for the development of the paediatric section of the risk management plan (RMP), safety in paediatric protocol development, safety data collection and analysis. Furthermore, they describe the specific details of post‐marketing pharmacovigilance in children using, for example, spontaneous reports, electronic health care records, registries and record‐linkage, as well as the use of paediatric pharmacoepidemiology studies for risk characterisation. Next the details of the assessment of benefit–risk and challenges related to medicinal product formulation in the context of a Paediatric Investigation Plan (PIP) are presented. Finally, practical issues in paediatric signal detection and evaluation are included.This paper provides practical points to consider for paediatric pharmacovigilance throughout the life‐cycle of medicinal products for RMPs, protocol development, safety data collection and analysis and PIPs.
Untrapped potential: Do bear hunter cameras accurately index nontarget species?
Authors: Candler Ellen M. , Severud William J. , Beyer Dean E. , Frawley Brian , Bump Joseph K. 
Published: October 2021

AbstractRemote camera use by hunters offers the potential to collect citizen‐derived data on multiple species using hunter surveys, but the effectiveness of this approach is untested. We examine whether observations from remote cameras that hunters use at their black bear (Ursus americanus) bait sites and reported via hunter surveys are an effective method to monitor species. We compared data collected from pseudo‐bear bait sites established for this study to hunter established bear bait site observations from the same study area. We also quantified observations reported on hunter surveys as a landscape index alternative to white‐tailed deer (Odocoileus virginianus) hunter indices, gray wolf (Canis lupus) surveys, and mustelid (Mustelidae) trapper indices. We did not detect a difference in hunter‐reported camera observations versus our observations for four of the six species recorded at pseudo‐bear bait sites. Hunters were over nine times more likely to report photographing wolves and nearly one third as likely to report photographing mustelids. We observed a relationship between trapper survey‐derived mustelid indices and the camera‐derived index, but not for deer or wolves. Foremost, these results emphasize the need to further evaluate the utility of remote camera data derived from hunters. The widespread use of remote cameras by hunters, the low‐cost of hunter surveys, and the potential to collect accurate community composition and occurrence/presence indices, points to the value of adding questions to hunter surveys regarding multiple species of interest.
COVID‐19 patient diagnosis and treatment data mining algorithm based on association rules
Authors: Shan Zicheng , Miao Wei 
Published: October 2021

AbstractAssociation rules are used in different data mining applications, including Web mining, intrusion detection, and bioinformatics. This study mainly discusses the COVID‐19 patient diagnosis and treatment data mining algorithm based on association rules. General data The key time interval during the main diagnosis and treatment process (including onset to dyspnea, first diagnosis, admission, mechanical ventilation, death, and the time from first diagnosis to admission, etc.), the cause of death by laboratory examination, and so forth. The frequency of drug use was counted and association rule algorithm was used to analyse and study the effect of drug treatment. The results could provide reference for rational drug use in COVID‐19 patients. In this study, in order to improve the efficiency of data mining in data processing, it is necessary to pre‐process these data. Secondly, in the application of this data mining, the main objective is to extract association rules of COVID‐19 complications. So its properties for mining should be various diseases. Therefore, it is necessary to classify individual disease types. During the construction of association rules database, the data in the data warehouse is analysed online and the association rules data mining is analysed. The results are stored in the knowledge base for decision support. For example, the prediction results of the decision tree can be displayed at this level. After the construction of the mining model, the display interface can be mined, and the decision‐maker can input the corresponding attribute value and then predict it. 0.76% of people had both COVID‐19, CHD and hypertension, while 46.5% of people with COVID‐19 and CHD were likely to have hypertension. This study is helpful to analyse the imaging factors of COVID‐19 disease.
Factors influencing farmers’ willingness and behavior choices to withdraw from rural homesteads in China
Authors: Gao Jia , Song Ge , Liu Shuhan 
Published: October 2021

AbstractThe rapid pace of urban development and farmer differentiation has led to large‐scale migration of farmers to cities, resulting in the abandonment of rural homesteads in China. This study aims to explore the key factors influencing farmers’ willingness and choices to withdraw from rural homesteads and find the key factor of different groups of farmer differentiation degree. Data from 479 farmers in Weinan and Shizuishan and multigroup structural equation model were used for analysis. The results showed that labor supply shortages in completely non‐agricultural farmer households had the greatest influence on their willingness to withdraw from rural homesteads. Whether a withdrawal compensation could guarantee farmers’ future livelihood has the greatest influence on willingness to withdraw from rural homesteads among non‐agricultural and agricultural farmer households. The per‐capita area of rural homesteads has the greatest influence on willingness to withdraw among completely agricultural farmer households. Regardless of the farmer differentiation degree, whether the withdrawal compensation can guarantee their future livelihood significantly affects farmers’ willingness to withdraw from their rural homesteads. The policy implication of the study was that, for different levels of livelihood dependence, local governments should adopt a targeted policy to encourage farmers to withdraw from their rural homesteads.
Apremilast effectively inhibits TNFα‐induced vascular inflammation in human endothelial cells
Authors: Otto M. , Dorn B. , Grasmik T. , Doll M. , Meissner M. , Jakob T. , Hrgovic I. 
Published: October 2021

AbstractBackgroundPatients with chronic inflammatory diseases (e.g. psoriasis and rheumatoid arthritis) are at increased risk for the development of atherosclerosis and cardiovascular diseases (CVD). Previous studies have suggested that phosphodiesterase 4 (PDE4) inhibitors possess anti‐inflammatory properties.ObjectivesHere we examined the effect of the PDE4 inhibitor apremilast, a well‐established anti‐psoriatic drug, on pro‐inflammatory responses in TNFα‐activated endothelial cells.MethodsHuman umbilical vein endothelial cells (HUVEC) were treated with tumour necrosis factor‐α (TNFα) in the presence or absence of apremilast. Expression levels of pro‐inflammatory cytokines, chemokines and adhesion molecules were assessed by ELISA, western blot and RT‐PCR. Effects of apremilast on adhesion and transendothelial migration (TEM) of THP‐1 monocytic cells were analysed in transwell assays.ResultsApremilast suppressed TNFα‐induced expression and secretion of important endothelial and monocytic pro‐inflammatory factors, including granulocyte‐macrophage colony‐stimulating factor (GM‐CSF), C‐X‐C motif chemokine ligand 10 (CXCL10), chemokine (C‐C motif) ligand 2 (CCL2), vascular cell adhesion molecule 1 (VCAM‐1), E‐selectin and matrix metalloproteinase‐9 (MMP9). Functionally, apremilast reduced adhesion of THP‐1 cells to activated HUVECs and TEM in response to TNFα. Mechanistically, apremilast suppressed activation of nuclear factor κB (NFκB) and mitogen‐activated protein kinases (MAPK) signalling in activated HUVECs. Furthermore, inhibition of p38, C‐Jun‐N‐terminale Kinase (JNK) and NFκB in activated HUVECs decreased expression of GM‐CSF, VCAM‐1 and E‐selectin. Additionally, apremilast decreased IL‐17A‐induced secretion of IL‐6 and CCL2.ConclusionsWe demonstrate that apremilast has distinct anti‐inflammatory effects in activated HUVECs, indicating that apremilast could have the therapeutic potential to prevent higher risk for CVD in patients with chronic inflammatory diseases.
The role of CuO on the microstructure and phase composition of SO3‐activated clinker
Authors: Boháč Martin , Khongová Ingrid , Zezulová Anežka , Kotlánová Krejčí Michaela , Kubátová Dana , Staněk Theodor 
Published: October 2021

AbstractThe mineralising effect of CuO on microstructure and phase composition of SO3‐doped clinker was studied by a combination of phase analysis, light and scanning electron microscopy and QXRD. Results show proportionally higher C4AF content in clinker interstitial matter due to CuO doping. CuO also lowers the SO3 incorporation in main clinker phases C3S and C2S. Observation in back‐scattered electrons revealed that Cu crystallises mainly as a Cu‐rich phase in the clinker interstitial matter and inclusions in crystals of C2S with distorted structure. CuO partially inhibits the incorporation of Fe2O3 in C2S.
A Sociocultural Perspective: Seeking Evidence of Development in a PACE Approach to Grammar Instruction
Authors: Davin Kristin J. , Kushki Ali 
Published: October 2021

AbstractSituated within Sociocultural theory (SCT), this article analyzed an existing data set (Toth, 2021a, 2021b, 2021c, available at https://www.iris-database.org) to investigate learners’ development through participation in a dialogic approach to grammar instruction called PACE. The target of instruction was the Spanish pronominal clitic se. Microgenetic analysis of the interaction between the teacher and learners was used to track two students’ development during both small‐group work and whole‐class instruction. To analyze the process of development, evidence of obuchenie (i.e., teaching‐learning activity) that preceded changes in each learner's performance was sought. These findings were compared to the two students’ performance on a pre‐, post‐ and delayed‐intervention picture description task. Findings highlight the instances of mediation that promoted students’ metalinguistic awareness and use of se. The article concludes with a discussion of the extent to which claims of development could be made based on the provided data set and considerations of the affordances of dialogic versus deductive explanations of grammar.
Environmental conditions drive zooplankton community structure in the epipelagic oceanic water of the southern Gulf of Mexico: A molecular approach
Authors: Cicala Francesco , Arteaga María C. , Herzka Sharon Z. , Hereu Clara M. , Jimenez‐Rosenberg Sylvia P. A. , Saavedra‐Flores Anaid , Robles‐Flores Javier , Gomez Ricardo , Batta‐Lona Paola G. , Galindo‐Sánchez Clara E. 
Published: October 2021

AbstractZooplankton plays a pivotal role in sustaining the majority of marine ecosystems. The distribution patterns and diversity of zooplankton provide key information for understanding the functioning of these ecosystems. Nevertheless, due to the numerous cryptic and sibling species and the lack of diagnostic characteristics for early developmental stages, the identification of the global‐to‐local patterns of zooplankton biodiversity and biogeography remains challenging in different research fields. The spatial and temporal changes in the zooplankton community in the open waters of the southern Gulf of Mexico were assessed using metabarcoding analysis of the V9 region of 18S rRNA and mitochondrial cytochrome oxidase c subunit I (COI). Additionally, a multiscale analysis was implemented to evaluate which environmental predictors may explain the variability in the structure of the zooplankton community. Our findings suggest that the synergistic effects of dissolved oxygen concentration, temperature, and longitude (intended as a proxy for still unidentified predictors) may explain both spatial and temporal zooplankton variability even with low contribution. Furthermore, the zooplankton distribution probably reflects the coexistence of three heterogeneous ecoregions and a bio‐physical partitioning of the studied area. Finally, some taxa were either exclusive or predominant with either 18S or COI markers. This may suggest that comprehensive assessments of the zooplankton community may be more accurately met by the use of multilocus approaches.