bluuebunny/crossref_metadata_2025_split huggingface dataset:
What motivates customers’ participation in mobile instant messaging-based online restaurant community: an extended technology acceptance model
Authors: Xu Jie , Liu Min , Li Shuhao 
Published: July 2024

Purpose
An increasing number of restaurants are building mobile instant messaging-based online restaurant communities to enhance connections with customers, but the mechanisms of customers’ behavioral intentions toward these communities remain unclear. To address this gap, this study aims to investigate the factors affecting customers’ acceptance of mobile instant messaging-based online restaurant communities from the perspectives of social support theory and technology acceptance model.

Design/methodology/approach
Partial least squares structural equation modeling was used to analyze data collected from 360 customers.

Findings
The results indicate that informational support and social presence influence perceived ease of use and usefulness. By contrast, emotional support significantly affects only perceived usefulness. Additionally, perceived ease of use and usefulness can positively predict customer attitudes and foster behavioral intentions.

Originality/value
This research broadens existing research on online restaurant communities by constructing an integrated model that considers social support-related and technology use-related factors to understand consumers’ participation in a new type of restaurant community, namely, the mobile instant messaging-based online restaurant community. The findings also offer guidance on how restaurants can encourage customers to embrace mobile instant messaging-based online restaurant communities.
A tie strength framework for improving the poor asnaf students’ normative commitment and behaviour
Authors: Binti Tamby Omar Aishah , Arshad Rasidah , Mat Isa Rosmah 
Published: July 2024

Purpose
This study aims to examine the relationship between tie strength and poor asnaf student’s normative commitment and its impact on behaviour.

Design/methodology/approach
A sample of 129 poor asnaf students participated in this study. SMART-PLS 3.2.8 was used to analyse the data.

Findings
The findings show that the tie strength dimension (trust, emotional intensity, mutual confiding and relational exchange) positively relates to poor asnaf student’s normative commitment. Also, the result shows that poor asnaf students’ normative commitment is positively related to recipient behaviour.

Research limitations/implications
This study focuses on poor asnaf students receiving zakat financial education aid.

Practical implications
The findings provide valuable information on the factors that encourage poor asnaf students’ normative commitment. Related parties, such as the zakat institution, could use these findings to plan further action to enhance the poor asnaf student’s normative commitment and behaviour.

Originality/value
The study showed that the social tie strength framework could be used to determine the variables affecting poor asnaf student’s normative commitment and behaviour.
Open banking: an early review
Authors: Xie Chengbo , Hu Sijia 
Published: July 2024

PurposeThis paper offers an overview of the burgeoning literature on open banking, focusing on its implications for the financial sector.Design/methodology/approachThe paper reviews the recent developments in the nascent literature of open banking. In particular, it discusses the following issues. (1) the extent to which open banking fosters competition, drives innovation and enhances financial inclusion; (2) the impact of institutional arrangements on the outcomes of open banking initiatives and (3) the critical role of government in promoting open banking and regulating banking activities.FindingsThe paper concludes with a discussion on potential directions for future research. First, open banking introduces significant challenges to the traditional banking model. Furthermore, the interplay between open banking and financial risk presents an area ripe for exploration. Lastly, the importance of consumer education in the context of open banking cannot be overstated.Originality/valueOpen innovation enables financial institutions generate productive innovations as well as provide customers with significantly better services, by getting access to previously restricted customer data. However, currently non-bank and fintech lenders often face significant barriers in accessing comprehensive customer data, which restricts their capacity to support non-standard credit models. More emphasis is required to be assigned to research on the economic impact of open banking.
Is ChatGPT a source to enhance firms’ strategic value and business sustainability?
Authors: AlQershi Nagwan Abdulwahab , Thursamy Ramyah , Alzoraiki Mohammed , Ali Gamal Abdualmajed , Mohammed Emam Ali Salman , Nasir Muhammad Dzulhaxif Bin Muhammad 
Published: July 2024

Purpose
This study aims to investigate the effects of three dimensions of ChatGPT strategic value – organization support (OS), managerial productivity (IM) and decision aids (DA) – on the business sustainability (BS) of Malaysian public universities.

Design/methodology/approach
A quantitative methodology was adopted for this study to examine the relationships between ChatGPT strategic value and the BS of Malaysian public universities.

Findings
The study found that two dimensions of ChatGPT strategic value, namely, OS and IM, influence BS, whereas DA do not.

Research limitations/implications
To the best of the author’s knowledge, this study is the first to address the relationship between ChatGPT strategic value and BS in a specific context – Malaysian public universities – providing new contributions to theory by extending the literature on the topic.

Practical implications
The findings are expected to guide universities in Malaysia in leveraging ChatGPT strategic value for enhancing BS.

Originality/value
To the best of the author’s knowledge, this empirical study is the first in the literature to examine the relationships between ChatGPT strategic value and BS in the education sector. Supported by an original conceptual model, the insights provided should extend the literature dedicated to ChatGPT strategic value and BS in the context of a South Asian economy.
Intelligent condition prediction model for bridge infrastructure based on evaluating machine learning algorithms
Authors: Abu Dabous Saleh , Alzghoul Ahmad , Ibrahim Fakhariya 
Published: July 2024

PurposePrediction models are essential tools for transportation agencies to forecast the condition of bridge decks based on available data, and artificial intelligence is paramount for this purpose. This study aims at proposing a bridge deck condition prediction model by assessing various classification and regression algorithms.Design/methodology/approachThe 2019 National Bridge Inventory database is considered for model development. Eight different feature selection techniques, along with their mean and frequency, are used to identify the critical features influencing deck condition ratings. Thereafter, four regression and four classification algorithms are applied to predict condition ratings based on the selected features, and their performances are evaluated and compared with respect to the mean absolute error (MAE).FindingsClassification algorithms outperform regression algorithms in predicting deck condition ratings. Due to its minimal MAE (0.369), the random forest classifier with eleven features is recommended as the preferred condition prediction model. The identified dominant features are superstructure condition, age, structural evaluation, substructure condition, inventory rating, maximum span length, deck area, average daily traffic, operating rating, deck width, and the number of spans.Practical implicationsThe proposed bridge deck condition prediction model offers a valuable tool for transportation agencies to plan maintenance and resource allocation efficiently, ultimately improving bridge safety and serviceability.Originality/valueThis study provides a detailed framework for applying machine learning in bridge condition prediction that applies to any bridge inventory database. Moreover, it uses a comprehensive dataset encompassing an entire region, broadening the model’s applicability and representation.
Show Your Hand: The Impacts of Fair Pricing Requirements in Procurement Contracting
Authors: NATHAN BRAD 
Published: July 2024

ABSTRACTThis paper studies how a federal procurement regulation, known as the Truth in Negotiations Act (TINA), affects the competitiveness and execution of government contracts. TINA stipulates how contracting officials (COs) can ensure reasonable prices. Following TINA, for contracts above a certain size threshold, COs can no longer rely solely on their own judgment that a price is reasonable. Instead, they must either require suppliers to provide accounting data supporting their proposed prices or expect multiple bids. Using a regression discontinuity design, I find that above‐threshold contracts experience greater competition (i.e., more bids), improved performance (i.e., less frequent renegotiations and cost overruns), and reduced use of the harder‐to‐monitor cost‐plus pricing, compared to below‐threshold contracts. These findings suggest that TINA's requirements enhance competition and oversight for above‐threshold contracts.
Population and community ecology: past progress and future directions
Authors: KREBS Charles J. , BOUTIN Stan , BOONSTRA Rudy 
Published: July 2024

AbstractPopulation and community ecology as a science are about 100 years old, and we discuss here our opinion of what approaches have progressed well and which point to possible future directions. The three major threads within population and community ecology are theoretical ecology, statistical tests and models, and experimental ecology. We suggest that our major objective is to understand what factors determine the distribution and abundance of organisms within populations and communities, and we evaluate these threads against this major objective. Theoretical ecology is elegant and compelling and has laid the groundwork for achieving our overall objectives with useful simple models. Statistics and statistical models have contributed informative methods to analyze quantitatively our understanding of distribution and abundance for future research. Population ecology is difficult to carry out in the field, even though we may have all the statistical methods and models needed to achieve results. Community ecology is growing rapidly with much description but less understanding of why changes occur. Biodiversity science cuts across all these subdivisions but rarely digs into the necessary population and community science that might solve conservation problems. Climate change affects all aspects of ecology but to assume that everything in population and community ecology is driven by climate change is oversimplified. We make recommendations on how to advance the field with advice for present and future generations of population and community ecologists.
Fat, protein, and temperature each contribute to reductions in capsaicin oral burn
Authors: Gaiser Justin , Hayes John E. 
Published: July 2024

AbstractIt is widely accepted that milk provides the greatest relief from capsaicin burn, an effect typically attributed to its fat content and temperature. Previously, Lawless et al. reported partitioning lipophilic capsaicin in fat reduces burn, whereas Green showed lower temperature reduces burn. Recent research shows that dairy and nondairy proteins also reduce capsaicin burn, suggesting that multiple factors reduce oral burn from chilies. Here, we investigated the effectiveness of palate cleansers with varied viscosities, temperatures, and sugar, fat, and protein content. Specifically, we tested ice cream, Italian ice, yogurt, lassi, cold water (4°C), and warm water (37°C). Participants rinsed with a 5 ppm capsaicin solution, followed by a palate cleanser, before rating burn intensity continuously for 2 min on a general Labeled Magnitude Scale. Inspection of the time–intensity (TI) curves revealed all palate cleansers performed better than warm water. Italian ice performed on par with cold water, which did better than yogurt. Pairwise comparisons showed that ice cream and lassi had significantly lower burn ratings at some time points relative to warm or cold water. We extracted scaffolding parameters for each TI curve, finding that ice cream and lassi had the lowest areas‐under‐the‐curve and the greatest percent decrease from their maxima, with ice cream performing slightly better in both parameters. These data support the view that it is not just one characteristic of a product, but rather a combination of product factors that reduce oral burn, including fat content, protein content, and temperature. More research is required to determine the relative weight of these factors in combination, given the multiple mechanisms underlying burn reduction.
Kinetics of chemical and color changes in wheat and water during atmospheric cooking as affected by the acidity, hardness, and iron content of water
Authors: Michel Sadiye , Bayram Mustafa 
Published: July 2024

AbstractColor changes in wheat and cooking water, which affect the quality of bulgur and wastewater, are important. Understanding the impacts of cooking water acidity, hardness, and iron content is significant for producing bright‐yellow colored bulgur and determining the possible negative effects of cooking water on the environment. Thereby, the gelatinization degree and color (L*, a*, b*, and yellowness index) of wheat cooked with waters at different pH (3, 5, 7, 9, and 11), hardness (soft, hard, and very hard), and iron content (0, 1, and 2 mg/L) were determined every 10 min of cooking. pH, Brix, conductivity, hardness, turbidity, and color of cooking waters were also determined and kinetically modeled. After cooking, it was revealed that cooking with water at pH 3 favored the color of cooked wheat, whereas pH 11 caused darkening. Nevertheless, as the wastewater pH of cooking waters with pH 3 and 11 may be harmful to the environment, it is recommended to use water in the range of pH 5–9 for bulgur production. Cooking with very hard water is also not recommended as it causes some adverse effects such as diminishing the gelatinization rate in wheat, increasing the cooking time, and negatively affecting the color.
Towards a better future for DNA barcoding: Evaluating monophyly‐ and distance‐based species identification using COI gene fragments of Dacini fruit flies
Authors: Doorenweerd Camiel , San Jose Michael , Leblanc Luc , Barr Norman , Geib Scott M. , Chung Arthur Y. C. , Dupuis Julian R. , Ekayanti Arni , Fiegalan Elaida , Hemachandra Kennantudawage S. , Aftab Hossain Mohammad , Huang Chia‐Lung , Hsu Yu‐Feng , Morris Kimberly Y. , Maryani A. Mustapeng Andi , Niogret Jerome , Pham Thai Hong , Thi Nguyen Nhien , Sirisena Uda G. A. I. , Todd Terrence , Rubinoff Daniel 
Published: July 2024

AbstractThe utility of a universal DNA ‘barcode’ fragment (658 base pairs of the Cytochrome C Oxidase I [COI] gene) has been established as a useful tool for species identification, and widely criticized as one for understanding the evolutionary history of a group. Large amounts of COI sequence data have been produced that hold promise for rapid species identification, for example, for biosecurity. The fruit fly tribe Dacini holds about a thousand species, of which 80 are pests of economic concern. We generated a COI reference library for 265 species of Dacini containing 5601 sequences that span most of the COI gene using circular consensus sequencing. We compared distance metrics versus monophyly assessments for species identification and although we found a ‘soft’ barcode gap around 2% pairwise distance, the exceptions to this rule dictate that a monophyly assessment is the only reliable method for species identification. We found that all fragments regularly used for Dacini fruit fly identification >450 base pairs long provide similar resolution. 11.3% of the species in our dataset were non‐monophyletic in a COI tree, which is mostly due to species complexes. We conclude with recommendations for the future generation and use of COI libraries. We revise the generic assignment of Dacus transversus stat. rev. Hardy 1982, and Dacus perpusillus stat. rev. Drew 1971 and we establish Dacus maculipterus White 1998 syn. nov. as a junior synonym of Dacus satanas Liang et al. 1993.
Correlation of Anti‐Phosphatidylserine/Prothrombin and Anti‐Phosphatidylserine Antibodies with Pregnancy Outcomes
Authors: Xiang Junmiao , Pan Yundong , Bao Ruru , Cai Zhuhua 
Published: July 2024

ABSTRACTBackgroundThe objective of this study was to investigate the clinical relevance of anti‐prothrombin antibodies (aPT) and anti‐phosphatidylserine/prothrombin antibodies (aPS/PT) in relation to pregnancy outcomes and coagulation parameters, as well as immune markers.MethodsWe retrospectively analyzed 477 pregnant women with experienced at least one spontaneous miscarriage who were tested for aPT and aPS/PT antibodies, and compared their clinical characteristics, coagulation indicators, immune biomarkers, and pregnancy outcomes to assess the diagnostic accuracy of these antibodies.ResultsWe found that the aPT IgG and the aPS/PT IgM were independently associated with increased risk of pregnancy loss, with odds ratios (ORs) of 1.055 (95% confidence interval [CI]: 1.009–1.103, p = 0.017) and 1.041 (95% CI: 1.015–1.067, p = 0.002), respectively. Moreover, we found that the aPS/PT IgM had a higher diagnostic performance than the aPT IgG, as indicated by the AUC of 0.663 and 0.593, respectively. The pregnancy loss rate was positively correlated with the level of aPS/PT IgM, while the aPT IgG is not. We also found that in the pregnancy loss group, aPT IgG showed negative correlations with prothrombin time (PT); aPS/PT IgM showed positive correlations with aPS/PT IgG. However, none of aPT IgG, aPT IgM, aPS/PT IgM, or aPS/PT IgG was related to other adverse pregnancy outcomes, such as preterm delivery, fetal growth restriction (FGR), or preeclampsia (PE).ConclusionOur findings suggest that aPT IgG and aPS/PT IgM are independent risk factors for pregnancy loss, especially aPS/PT IgM, which has a positive linear correlation with pregnancy loss.
Predictability of the Delta Neutrophil Index and Other Blood Parameters on Perinatal Outcomes in Pregnant Women With Systemic Lupus Erythematosus
Authors: Doğru Şükran , Akkuş Fatih , Ezveci Huriye , Yaman Fikriye Karanfil , Parlak Selman , Metin Ülfet Sena , Bahçeci Pelin , Acar Ali 
Published: July 2024

ABSTRACTProblemThis study aimed to evaluate the predictive value of delta neutrophil index (DNI), a peripheral blood parameter, on perinatal outcomes in pregnant women with systemic lupus erythematosus (SLE).Method of StudyOne hundred eighty‐one participants, 78 pregnant women with SLE, and 103 healthy pregnant women were included in this retrospective study. Peripheral blood parameters including neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), and DNI taken in the first trimester were compared between groups.ResultsNLR, PLR, and DNI were significantly higher in the SLE group (p = 0.027, p = 0.007, p = 0.0001, respectively). The same parameters were not found to be significant in determining disease activity in pregnant women with SLE (p > 0.05). When the predictive value of DNI for SGA in pregnancies with SLE was evaluated by receiver operating characteristic curve (ROC), the area under the ROC curve (AUC) was 0.666 (95% CI; 0.544–0.788, p = 0.018) with 84.6% sensitivity, 53.8% specificity, 56.0% PPV, and 78.1% NPV at a cut‐off value of 0.16. The predictive value of DNI according to ROC for stillbirth in pregnancies with SLE was AUC 0.731 (95% CI: 0.539–0.923, p = 0.019) with a cut‐off value of 0.17, sensitivity of 90%, specificity of 51.5%, PPV of 58.5%, and NPV of 87.2%.ConclusionsAlthough DNI's prediction of SGA and stillbirth in pregnant women with SLE is encouraging, it needs more evidence from prospective studies with larger series.
Serotonergic input from the dorsal raphe nucleus shapes learning‐associated odor responses in the olfactory bulb
Authors: Jing Siqi , Geng Chi , Liu Penglai , Wang Dejuan , Li Qun , Li Anan 
Published: July 2024

AbstractAimNeural activity in the olfactory bulb (OB) can represent odor information during different brain and behavioral states. For example, the odor responses of mitral/tufted (M/T) cells in the OB change during learning of odor‐discrimination tasks and, at the network level, beta power increases and the high gamma (HG) power decreases during odor presentation in such tasks. However, the neural mechanisms underlying these observations remain poorly understood. Here, we investigate whether serotonergic modulation from the dorsal raphe nucleus (DRN) to the OB is involved in shaping activity during the learning process in a go/no‐go task in mice.MethodsFiber photometry was used to record the population activity of DRN serotonergic neurons during a go/no‐go task. In vivo electrophysiology was used to record neural activity (single units and local field potentials) in the OB during the go/no‐go task. Real‐time place preference (RTPP) and intracranial light administration in a specific subarea (iClass) tests were used to assess the ability of mice to encoding reward information.ResultsOdor‐evoked population activity in serotonergic neurons in the DRN was shaped during the learning process in a go/no‐go task. In the OB, neural activity from oscillations to single cells showed complex, learning‐associated changes and ability to encode information during an odor discrimination task. However, these properties were not observed after ablation of DRN serotonergic neurons.ConclusionThe activity of neural networks and single cells in the OB, and their ability to encode information about odor value, are shaped by serotonergic projections from the DRN.
Insights into tick dynamics and anaplasmosis in ruminants: A microscopic and molecular perspective
Authors: Malik Ayesha , Afshan Kiran , Okla Mohammad K. , Saleh Ibrahim A. , Razzaq Abdul , Hussain Munib , Firasat Sabika , Mirzaeva Gulnora , Kholmatov Bakhtiyor , Lika Erinda 
Published: July 2024

AbstractTicks are blood‐sucking parasite and transmit pathogens to humans, domestic and wild animals. Ticks are seriously damage the production of sheep and goats, resulting in heavy economic loss to farmers. The present study investigated microscopic and molecular identification of ticks and tick‐borne anaplasmosis infesting sheep and goats in three agro‐ecological zones of Pakistan. The collected ticks were identified at species level based on their morphological features through microscopy by using taxonomic keys. Four Rhipicephalus (R.) species namely: R. guilhoni Rh. geigyi, R. annulatus, R. pulchellus, two Haemaphysalis (Hae) spp. Hae. sulcate, Hae. punctate, one Ixodes ricinus and Hyalomma anatolicum were identified. The morphological variations in their body sizes, scutal pattern, female genital opening, spiracular plate length and male adanal plate were recorded. Furthermore, we assessed the effectiveness of utilizing the 16S rRNA gene sequence to differentiate Anaplasma samples at the species level. Microscopically suspected positive blood samples for Anaplasma were subjected to DNA extraction. Anaplasma was observed in the blood of 14 animals. The sequence similarity between Anaplasma marginale and the reference genome were 99.25%, while below this value indicating a distinct species. Phylogenetic analysis revealed close similarity with A. marginale isolates from Iran, Vietnam and Pakistan This study contributes to the epidemiology of ticks and TBPs in the KP province and highlights the importance of proactive TBP surveillance in livestock.