bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of consumption values on consumer behavior: a Meta-analysis
Authors: Mason Michela Cesarina , Oduro Stephen , Umar Rana Muhammad , Zamparo Gioele 
Published: August 2023

PurposeThe purpose of this study is to clarify the findings and criticisms in the extant literature concerning the theory of consumption values (TCV) by conducting a meta-analysis to (1) examine the extent to which consumption values influence consumer behavior and (2) to explore contextual and methodological factors that may account for between-study variance in the focal relationship.Design/methodology/approachThe study employs a random-effects model and psychometric meta-analysis approach to examine 82 studies with 297 effect sizes in 34 countries between 1991 and 2022, inclusive.FindingsResults reveal that consumption values have a positive significant and moderate effect on consumer behavior. Moreover, emotional value is the most influential predictor of consumer behavior, while social value is the weakest. Furthermore, the study's findings show that some contextual and methodological factors moderate the relationship between consumption values and consumer behavior.Practical implicationsThe findings highlight that managers can work on consumption values to prompt positive consumer responses like attitude, intention, satisfaction and overall value perception. However, managers must consider that the relevance of the consumption values depends significantly on the outcome variable and the context, which calls for a tailored-made marketing strategy to appeal to consumers' diverse needs and wants.Originality/valueBesides providing empirical evidence of the broad validity of the TCV, this study is the first meta-analytic review of the TCV, which integrates several insights to provide valuable research directions for future researchers and insightful implications for practitioners.
How gamification elements benefit brand love: the moderating effect of immersion
Authors: Tsou Hung-Tai , Putra Mukti Trio 
Published: August 2023

PurposeA gamification approach uses game components in non-game services to increase customer engagement and loyalty. This study aims to investigate the relationships between gamification elements, customer engagement, immersion and brand love.Design/methodology/approachUsing the most popular gamification feature in Indonesian e-commerce, namely Shopee Games. The Snowball sampling technique was used. The data were collected from 355 Indonesians who played Shopee Games. AMOS 28.0 was used to analysis on the data.FindingsThe gamification elements of challenges, points and enjoyment positively influence customer engagement. Moreover, customer engagement positively influences brand love, which is increased by the moderation of immersion. In addition, customer engagement mediates the relationships between the gamification elements of challenges, points, enjoyment and brand love.Originality/valueThis study identifies the critical elements of gamification in e-commerce platforms. In addition, based on the S-O-R model, this study contributes to research on how customer engagement plays an intermediate variable in the gamification-brand relationship. As conceptual and empirical research on this topic is still underdeveloped, this study provides fresh insights into gamification-oriented brand marketing practices. It offers significant theoretical and managerial implications from an integrated perspective.
Numerical evaluation of the mechanical response of Sn-Ag-Cu lead-free solders of various silver contents
Authors: Gharaibeh Mohammad A. , Al-Oqla Faris M. 
Published: August 2023

Purpose
There are several lead-free solder alloys available in the industry. Over the years, the most favorable solder composition of tin-silver-copper (Sn-Ag-Cu [SAC]) has been vastly used and accepted for joining the electronic components. It is strongly believed that the silver (Ag) content has a significant impact on the solder mechanical behavior and thus solder thermal reliability performance. This paper aims to assess the mechanical response, i.e. creep response, of the SAC solder alloys with various Ag contents.

Design/methodology/approach
A three-dimensional nonlinear finite element simulation is used to investigate the thermal cyclic behavior of several SAC solder alloys with various silver percentages, including 1%, 2%, 3% and 4%. The mechanical properties of the unleaded interconnects with various Ag amounts are collected from reliable literature resources and used in the analysis accordingly. Furthermore, the solder creep behavior is examined using the two famous creep laws, namely, Garofalo’s and Anand’s models.

Findings
The nonlinear computational analysis results showed that the silver content has a great influence on the solder behavior as well as on thermal fatigue life expectancy. Specifically, solders with relatively high Ag content are expected to have lower plastic deformations and strains and thus better fatigue performance due to their higher strengths and failure resistance characteristics. However, such solders would have contrary fatigue performance in drop and shock environments and the low-Ag content solders are presumed to perform significantly better because of their higher ductility.

Originality/value
Generally, this research recommends the use of SAC solder interconnects of high silver contents, e.g. 3% and 4%, for designing electronic assemblies continuously exposed to thermal loadings and solders with relatively low Ag-content, i.e. 1% and 2%, for electronic packages under impact and shock loadings.
Essential organizational variables for the implementation of Quality 4.0: empirical evidence from the Indian furniture industry
Authors: Mittal Ankesh , Sachan Sandeep , Kumar Vimal , Vardhan Sachit , Verma Pratima , Kaswan Mahender Singh , Garza-Reyes Jose Arturo 
Published: August 2023

PurposeQuality 4.0 represents the integration of quality management principles with digital technologies to drive continuous improvement and innovation in organizations. The purpose of this paper is to explore the essential organizational variables (OVs) for the successful implementation of Quality 4.0 in the Indian furniture industry.Design/methodology/approachThrough a broad literature review, data from the Indian furniture industry and experts’ judgments a list of nineteen OVs have been recognized and classified into four major categories of digitalization, design, continuous improvement and employee training and up-skilling. The analytic hierarchy process (AHP) has been used to give comparative importance and prioritize the identified nineteen OVs of Quality 4.0 in the context of the Indian furniture industry.FindingsThe results of this study reveal that the identified variables are very important for successful Quality 4.0 implementation and have been supported by empirical evidence from the Indian furniture industry. The variable “automation” under the digitalization-related category is a significant variable having a maximum weightage of 26.8% followed by Cloud computing (DI4) having a global weight of 12.8%.Research limitations/implicationsIn addition to offering valuable insights and practical recommendations, the study recognizes a few limitations, such as industry-specific and the limited sample size. To diminish these limitations, future research should believe in conducting similar studies in different industries and extend the scope of the study.Originality/valueQuality 4.0 is a term that refers to the integration of advanced digital technologies and smart data analytics into quality management systems to implement it considering OVs.
An overview of food lipids toward food lipidomics
Authors: Tietel Zipora , Hammann Simon , Meckelmann Sven W. , Ziv Carmit , Pauling Josch K. , Wölk Michele , Würf Vivian , Alves Eliana , Neves Bruna , Domingues M. Rosário 
Published: August 2023

AbstractIncreasing evidence regarding lipids’ beneficial effects on human health has changed the common perception of consumers and dietary officials about the role(s) of food lipids in a healthy diet. However, lipids are a wide group of molecules with specific nutritional and bioactive properties. To understand their true nutritional and functional value, robust methods are needed for accurate identification and quantification. Specific analytical strategies are crucial to target specific classes, especially the ones present in trace amounts. Finding a unique and comprehensive methodology to cover the full lipidome of each foodstuff is still a challenge. This review presents an overview of the lipids nutritionally relevant in foods and new trends in food lipid analysis for each type/class of lipids. Food lipid classes are described following the LipidMaps classification, fatty acids, endocannabinoids, waxes, C8 compounds, glycerophospholipids, glycerolipids (i.e., glycolipids, betaine lipids, and triglycerides), sphingolipids, sterols, sercosterols (vitamin D), isoprenoids (i.e., carotenoids and retinoids (vitamin A)), quinones (i.e., coenzyme Q, vitamin K, and vitamin E), terpenes, oxidized lipids, and oxylipin are highlighted. The uniqueness of each food group: oil‐, protein‐, and starch‐rich, as well as marine foods, fruits, and vegetables (water‐rich) regarding its lipid composition, is included. The effect of cooking, food processing, and storage, in addition to the importance of lipidomics in food quality and authenticity, are also discussed. A critical review of challenges and future trends of the analytical approaches and computational methods in global food lipidomics as the basis to increase consumer awareness of the significant role of lipids in food quality and food security worldwide is presented.
In vitro antimicrobial activity of extracts and essential oils ofCinnamomum,Salvia, andMenthaspp. against foodborne pathogens: A meta‐analysis study
Authors: Ezzaky Youssef , Elmoslih Abdelkhaleq , Silva Beatriz Nunes , Bonilla‐Luque Olga María , Possas Arícia , Valero Antonio , Cadavez Vasco , Gonzales‐Barron Ursula , Achemchem Fouad 
Published: August 2023

AbstractEssential oils (EOs) are a class of natural products that exhibit potent antimicrobial properties against a broad spectrum of bacteria. Inhibition diameters (IDs) and minimum inhibitory concentrations (MICs) are the typical measures of antimicrobial activity for extracts and EOs obtained fromCinnamomum,Salvia, andMenthaspecies. This study used a meta‐analytical regression analysis to investigate the correlation between ID and MIC measurements and the variability in antimicrobial susceptibility tests. By utilizing pooled ID models, this study revealed significant differences in foodborne pathogens’ susceptibility to extracts, which were dependent on both the plant species and the methodology employed (p < .05). Cassia showed the highest efficacy againstSalmonellaspp., exhibiting a pooled ID of 26.24 mm, while cinnamon demonstrated the highest efficacy againstBacillus cereus, with a pooled ID of 23.35 mm. Mint extract showed the greatest efficacy againstEscherichia coliandStaphylococcus aureus. Interestingly, cinnamon extract demonstrated the lowest effect against Shiga toxin‐producingE. coli, with a pooled ID of only 8.07 mm, whereas its EOs were the most effective against this bacterial strain. The study found that plant species influenced the MIC, while the methodology did not affect MIC measurements (p > .05). An inverse correlation between ID and MIC measurements was identified (p < .0001). These findings suggest that extracts and EOs obtained fromCinnamomum,Salvia, andMenthaspp. have the potential to inhibit bacterial growth. The study highlights the importance of considering various factors that may influence ID and MIC measurements when assessing the effectiveness of antimicrobial agents.
Spatial and temporal variability in stream thermal regime drivers for three river networks during the summer growing season
Authors: Fuller Matthew R. , Detenbeck Naomi E. , Leinenbach Peter , Labiosa Rochelle , Isaak Daniel 
Published: August 2023

AbstractMany cold water‐dependent aquatic organisms are experiencing habitat and population declines from increasing water temperatures. Identifying mechanisms which drive local and regional stream thermal regimes facilitates restoration at ecologically relevant scales. Stream temperatures vary spatially and temporally both within and among river basins. We developed a modeling process to identify statistical relationships between drivers of stream temperature and covariates representing landscape, climate, and management‐related processes. The modeling process was tested in three study areas of the Pacific Northwest United States during the growing season (May [start], August [warmest], September [end]). Across all months and study systems, covariates with the highest relative importance represented the physical landscape (elevation [1st], catchment area [3rd], main channel slope [5th]) and climate covariates (mean monthly air temperature [2nd] and discharge [4th]). Two management covariates (groundwater use [6th] and riparian shade [7th]) also had high relative importance. Across the growing season (for all basins), local reach slope had high relative importance in May, but transitioned to a regional main channel slope covariate in August and September. This modeling process identified regionally similar and locally unique relationships among drivers of stream temperature. High relative importance of management‐related covariates suggested potential restoration actions for each system.
Knowledge of ground‐dwelling beetle communities in the tropical Andes: Gaps and trends
Authors: López‐Bedoya Pablo A. , Magura Tibor , Méndez‐Rojas Diana M. , Noriega Jorge Ari , Horgan Finbarr G. , Edwards David P. 
Published: August 2023

AbstractThe tropical Andes is one of the most biodiverse ecoregions on Earth, exhibiting high levels of species endemism. The tropical Andes is also one of the most vulnerable ecoregions worldwide due to a long history of anthropogenic transformations. One of the major obstacles for generating conservation plans is gaps in knowledge about the status and threats to many groups of Andean biodiversity, especially invertebrates. Focusing on three important beetle groups (i.e., Coleoptera: ground beetles, rove beetles and dung beetles) in the tropical Andes, we performed a systematic review of scientific literature retrieving 50 studies that allowed us to assess the degree of knowledge across the region, disturbance types, and biodiversity metrics used. We found a high representation of studies in Colombia, compared with other Andean countries. We also found a marked bias among taxonomic groups, topics or metrics evaluated, with dung beetles the most represented group, particularly in studies addressing forest conversion using metrics such as species richness or abundance. We reveal large gaps in information on the diversity of ground and rove beetles, and in the use of other diversity metrics. The lack of information across countries makes it difficult to generalize results and points to the need for more research, especially in under‐represented countries such as Bolivia and Venezuela. Including complementary response metrics, such as biomass, functional diversity or ecological functions, will improve the assessment of human impacts on tropical Andean beetle communities and wider ecosystems.
Radiological examination of the skull of Siirt‐coloured mohair goat, Romanov and Hamdani sheep
Authors: Güzel Barış Can , Işbilir Fatma 
Published: August 2023

AbstractThe skull is a vitally important complex structure formed by the combination of many bones. Craniometric studies are performed with various imaging methods to determine morphometric characteristics in animals. One of these methods is radiography. In our study, skulls of 14 Hamdani sheep, 20 Siirt‐coloured mohair goats and 20 Romanov sheep breeds were used. Skull sections were taken with a computed tomography device and saved in DICOM format. Nine separate measurements and six index calculations were made from the images. In the study, firstly, the gender difference was ignored and the similarities and differences between the species were recorded. In addition, gender differences were determined statistically, without making any distinction between species. Correlation analysis was performed to compare measurement parameters between animal species. As a result of the study, the highest skull length (SL) and cranial length (CL) values were determined in the Siirt‐coloured mohair goat. It was determined that the difference between Romanov sheep and Siirt‐coloured mohair goat in CL parameter was not statistically significant (p > 0.05). In addition, a statistically significant difference was observed between the Romanov sheep breed and the Hamdani sheep breed (p < 0.01). The external length of the cranium (ELC) measurement parameter was found to have a statistically significant difference in three animals (p < 0.01). According to the results of the correlation analysis, the highest correlation value was determined between cranial width (CW) and CL parameters (r = 0.920). When the species difference was ignored, and the statistical difference of the internal height of the cranium (IHC) parameter was found to be significant between female and male animals (p < 0.05). In addition, it was determined that SL, CW and internal cranium index (ICI) parameters had a significant difference depending on sex (p < 0.01). It is foreseen that the obtained data can be used in sciences such as zoo archaeology, anatomy, surgery and forensic medicine.
Risk factors for poor progression of addictive internet use across different COVID‐19 periods in China
Authors: Song Yi‐Xuan , Huang Yu‐Chen , Li Yang‐Yang , Bao Yan‐Ping , Zhou Guang‐Dong , Lu Lin , Shi Jie , Sun Yan 
Published: August 2023

AbstractBackground and ObjectivesAddictive behaviors are serious factors for mental health and usually increase during public crises. We identified the vulnerable characteristics for bad prognosis of addictive internet use across different periods of the coronavirus disease 2019 (COVID‐19) pandemic.MethodsSelf‐reported questionnaires were delivered in three waves through jdh.com during the outbreak (n = 17,960), remission (n = 15,666), and dynamic zero (n = 12,158) periods of COVID‐19 pandemic in China. Internet addiction degree was assessed using the Internet Addiction Test. The different progression groups were divided using a latent class growth model among 1679 longitudinal participants. Risk factors for bad progression were identified by two‐step logistic regression.ResultsA total of 40.16% of participants reported an increase in the addictive degree of internet use compared with prepandemic. Across different COVID‐19 periods, the overall trend of addictive internet use was downward among general Chinese study participants (Mslope = −1.56). Childhood traumatic experiences, deterioration of physical health, depression, and anxiety during remission and dynamic periods were the main risk factors for the bad progression of pandemic‐induced addictive internet use.Discussion and ConclusionsAddictive internet use was remitted following relaxed control policies during the COVID‐19 pandemic. Negative childhood experiences and bad mental status during the recovery period were harmful to coping with pandemic‐related addictive internet use.Scientific SignificanceOur findings profiled the general trend of addictive internet use and the vulnerable characteristics of its bad progression across different periods of the first wave of COVID‐19 pandemic in China. Our findings provide valuable insights for preventing the long‐term adverse effects of negative public events on Internet addiction.
Circulating mast cell progenitors increase during natural birch pollen exposure in allergic asthma patients
Authors: Alvarado‐Vazquez P. Abigail , Mendez‐Enriquez Erika , Salomonsson Maya , Waern Ida , Janson Christer , Wernersson Sara , Malinovschi Andrei , Hallgren Jenny 
Published: August 2023

AbstractBackgroundMast cells (MCs) develop from a rare population of peripheral blood circulating MC progenitors (MCps). Here, we investigated whether the frequency of circulating MCps is altered in asthma patients sensitized to birch pollen during pollen season, compared to out of season.MethodsAsthma patients were examined during birch pollen season in late April to early June (May), and out of season in November–January. Spirometry measurements, asthma and allergy‐related symptoms, asthma control questionnaire (ACQ), and asthma control test (ACT) scores were assessed at both time points. The MCp frequency was determined by flow cytometry in ficoll‐separated blood samples from patients with positive birch pollen‐specific IgE, and analyzed in relation to basic and disease parameters.ResultsThe frequency of MCps per liter of blood was higher in May than in November (p = .004), particularly in women (p = .009). Patients that reported moderate to severe asthma symptoms (<.0001), nose or eye symptoms (p = .02; p = .01), or reduced asthma control (higher ACQ, p = .01) had higher MCp frequency in May than those that did not report this. These associations remained significant after adjusting for sex and BMI. The change in asthma control to a lower ACT score in May correlated with an increase in MCp frequency in May (p = .006, rho = 0.46).ConclusionsThe data suggest that the frequency of MCps increases in symptomatic patients with allergic asthma. Our results unravel a link between asthma symptoms and circulating MCps, and bring new insight into the impact of natural allergen exposure on the expansion of MCs.
Comparison of clinical outcomes and prognosis between total pancreatectomy and pancreaticoduodenectomy for pancreatic ductal adenocarcinoma: a systematic review and meta‐analysis
Authors: Hong Shengqian , Ren Jiao , Zhang Sufang , Yan Yulou , Liu Shiqi , Qi Fuzhen 
Published: August 2023

AbstractBackgroundTo compare the clinical outcomes and prognosis of total pancreatectomy (TP) and pancreaticoduodenectomy (PD) for the treatment of pancreatic ductal adenocarcinoma (PDAC), and to explore the safety and indications of TP.MethodsA systematic search was conducted on PubMed, Web of Science, and Embase databases from January 1943 to March 2023 for literatures comparing TP and PD in the treatment of PDAC. The primary outcome was postoperative overall survival (OS), and secondary outcomes included surgery time, blood loss, readmission, hospital stay, perioperative mortality, and overall morbidity. Fixed‐effect or random‐effect models were selected based on heterogeneity, and odds ratio (OR), mean difference (MD), or hazard ratio (HR) with 95% confidence intervals (CI) were calculated.ResultsA total of six studies involving 8396 patients were included in the meta‐analysis. There was no statistically significant difference in OS after surgery between the two groups (HR = 1.08, 95% CI: 0.91–1.27; P = 0.38). The TP group had a longer surgery time (MD = 13.66, 95% CI: 4.57–22.75; P = 0.003) and more blood loss (MD = 133.17, 95% CI: 8.00–258.33; P = 0.04) than the PD group. There were no significant differences between the two groups in terms of hospital stay (MD = 0.09, 95% CI: −2.04 to 2.22; P = 0.93), readmission rate (OR = 1.39; 95% CI: 1.00–1.92; P = 0.05), perioperative mortality (OR = 1.29, 95% CI: 0.98–1.69; P = 0.07), and overall morbidity (OR = 0.80, 95% CI: 0.50–1.26; P = 0.33).ConclusionThe surgical process of TP is relatively complex, but there is no difference in short‐term clinical outcomes and OS compared to PD, making it a safe and reliable procedure. Indications and treatment outcomes for planned TP and salvage TP may differ, and more research is needed in the future for further classification and verification