Search Results (77)

Objective (study question): The main purpose of this systematic review was to conduct a qualitative synthesis of quantitative studies among patient experience, patient outcomes, and organisational climate factors. The review sought to answer the following research questions: (i) What are the main directions, dominant methods, and theories on the associations among these concepts? (ii) What theoretical propositions can be made? Data sources/study setting (w/hospital/institution setting anonymised): The study involved a search for literature in PubMed, PsychINFO, Medline, CINAHL, Academic Search Premier, Scopus, and Web of Science between 2007 and 2022 with the guidance of a librarian. The search was limited to English language and to human adult inpatients. Study design: This study primarily employed a systematic review method, following the guidelines in the PRISMA statement. Data collection/extraction methods: Articles were screened and excluded first on title and abstract, and then on fulltexts. Quality assessments were done on remaining articles using the National Institutes of Health (NIH) quality assessment tool for observational, cohort and cross-sectional studies. Data was extracted from articles that met the inclusion criteria and passed the checks. Principal findings: The search identified 11,571 records that were checked for duplications. After removing duplicates and applying the eligibility criteria, a final list of 220 articles were included for the qualitative synthesis. Results showed that the relationships among the concepts were more conclusive and generally positive rather than negative, especially between patient experience and patient outcomes. The review, however, showed areas that required more attention such as an encompassing quality-oriented care climate theory, validation of patient-reported instruments, and longitudinal studies linking subjective patient outcomes to objective patient outcomes. Conclusions: The review shows that conclusions can be drawn on the relationships among the variables, indicating that favourable factors in the hospitals, as perceived by patients, have positive implications for patient experiences and their outcomes. Based on this, an argument for an encompassing framework on quality care climate from the patients’ perspectives was made to enhance understanding of these relationships. Limitations: Among others, this review is limited by the search restriction to quantitative studies or studies that employed mainly quantitative tools to assess associations or changes. Funding: This study received no external funding. Registration: PROSPERO ID- CRD42021291787. Full article

Kombucha’s growing popularity worldwide has been accompanied by a growing consumer interest in exploring new flavors and adopting healthier diets. In this preliminary consumer-driven study, we investigated the application of white hibiscus (WH) calyces in the development of novel kombucha beverages. Kombuchas were made from 100% black tea (BT), 100% WH, and 50% BT/WH blend infusions, then their pH, total titratable acidity (TTA), ethanol content, sucrose, glucose, and fructose concentrations were measured. Untrained sensory participants (N = 97) rated the kombuchas using a 9-point hedonic scale, described them using a check-all-that-apply list of attributes, and answered a willingness-to-pay (WTP) question. Tea infusion and fermentation time had a significant effect on pH, TTA, ethanol, sucrose, fructose, and glucose content (p < 0.05). High residual sugar levels observed in the WH kombucha indicated sluggish fermentation. Kombuchas differed significantly in overall-liking, color, aroma, flavor, and mouthfeel liking, and WTP (p < 0.05). Overall, BT kombucha was preferred over the WH kombuchas (100% and blend). Sensory attributes “refreshing”, “floral”, “hibiscus”, “fruity”, and “sweet” were positive drivers of acceptability, while “pungent” and “astringent” were negative drivers. Results suggest that blends containing less than 50% WH may provide more appealing sensory attributes to consumers, and that further study is needed. Full article

Plant-based meat alternatives (PBMAs) are gaining increasing attention due to their potential role as substitutes for traditional meat products, driven by sustainability and health concerns related to animal production and consumption. Therefore, investigating and understanding consumer acceptance of less common PBMAs remains crucial. In this context, this research explored sensory expectations and actual experiences of a plant-based hotdog compared to a pork hotdog in a US sample. Using a within-subject design, participants (n = 88) evaluated both products before and after tasting, assessing overall liking, willingness to buy (WTB), and key sensory attributes. Furthermore, Check-All-That-Apply (CATA) batteries were used to explore product descriptors and situational appropriateness for consumption, while open-ended questions were employed to examine what consumers liked and disliked the most about the products in more detail. Results revealed no significant differences in expected liking between the two products before tasting. However, after tasting, the pork hotdog received significantly higher scores for both overall liking and WTB compared to the plant-based hotdog. Despite the plant-based product being associated with situations related to health and sustainability, it did not lead to the same appealing hedonic experience as the animal-based product. In addition, both penalty-lift analysis and text mining of the open-ended responses confirmed that consumers seek meaty characteristics in both animal- and plant-based hotdogs (e.g., “I don’t like how light the meat is” or “would like a more meat flavor”). This research provides valuable implications for policymakers and the food industry in terms of aligning strategies with consumers’ preferences and needs, supporting efforts to reduce red meat consumption and promote healthier, more sustainable dietary choices. Full article

Sex differences in stress response continue to be understudied in basic physiological and behavioral research. The current study aimed to investigate the sex-specific effects of chronic stress in wild-derived house mice subjected to chronic unpredictable stress (CUS). The use of wild-derived mice enhanced the ecological validity of our stress model. We applied CUS for 5 weeks based on protocols previously established in laboratory mice, with regular weighting and welfare checks. Control mice were not subjected to stress. After the 5-week exposure, behavioral tests were performed, blood and hair samples were collected for corticosterone measurement, and stress-sensitive organ weights were assessed. Stressed females, but not stressed males, gained significantly less body weight over the entire CUS period. After CUS, mice tended to have higher adrenal and thymus weights. In stressed females, we observed significantly prolonged grooming time in the open field test and fewer immobility episodes in the tail suspension test (TST). Stressed males displayed significantly shorter immobility time in TST. Stressed males, but not stressed females, had significantly higher levels of hair corticosterone, with a similar tendency in plasma. Our results indicate different CUS coping strategies in males and females and raise a question about the development of different protocols for the assessment of stress responses in males and females. Full article

The chain ladder model is defined by a set of assumptions about the claim array to which it is applied. It is, in practice, applied to claim arrays whose data relate to different frequencies, e.g., yearly, quarterly, monthly, weekly, etc. There is sometimes a tacit assumption that one can shift between these frequencies at will, and that the model will remain applicable. It is not obvious that this is the case. One needs to check whether a model whose assumptions hold for annual data will continue to hold for a quarterly (for example) representation of the same data. The present paper studies this question in the case of preservation of calendar periods, i.e., (in the example) annual calendar periods are dissected into quarters. The study covers the two most common forms of chain ladder model, namely the Tweedie chain ladder and Mack chain ladder. The conclusion is broadly, if not absolutely, negative. Certain parameter sets can indeed be found for which the chain ladder structure is maintained under a change in data frequency. However, while it may be technically possible to maintain the chain ladder model under such a change to the data, it is not possible in any reasonable, practical sense. Full article

Background: Scientific literature confirms the benefits of mother’s own milk (MOM) for both term and preterm infants. The feeding of pathological newborns, in particular the very low birth weight infants (VLBWIs), is dependent on human milk. When MOM is not available, pasteurized donor human milk obtained from a recognized Human Milk Bank (HMB) is the best alternative. Research aims: This survey aims to evaluate the activity of human milk banks (HMBs) in Italy in the years 2023–2024. Methods: Following the previous three surveys performed in 2012, 2016, and 2022, a fourth survey related to 2023 and 2024 was planned in the year 2025. A questionnaire was sent to the 44 HMBs officially operating in Italy, with questions regarding their management and activity, in order to collect national-level data. Results: All 44 Italian HMBs (100%) responded to this survey. The collected data confirm the results of the previous surveys, confirming an optimal adherence to the Italian Ministerial Guidelines. Almost all the HMBs (96%) apply the principles of self-control and the HACCP system, while the home milk collection service still requires improvement. Only 68% of HMBs organize collection and transport of the donated milk from the donor’s home to the bank. In addition, this survey shows the spreading of computerization in the management of the activities of HMBs: 36.4% make use of specific software that could lead to a greater availability of donor human milk for the neonatal centers in the future. The number of donors and the amount of donated milk increased consistently compared to the previous years. Conclusions: In general, this survey shows an improvement in the results obtained in the three previous surveys, with a positive dissemination of the culture of human milk donation in Italy. The impressive response rate to the survey demonstrates the importance of a regular check-up of the activity of HMBs. Full article

Luffa fruit is an underutilized and novel ingredient in North America. To increase the shelf life of luffa fruit, this study evaluated the creation of luffa fruit powder using three different drying temperatures (40 °C, 50 °C, and 60 °C). The objective of this study was to evaluate the sensory properties and acceptability of luffa fruit powder with unfamiliar consumers (those who do not regularly eat luffa fruit). Participants (n = 88) evaluated the luffa fruit powders mixed into couscous, as well as a control (couscous without luffa fruit powder) using check-all-that-apply and hedonic scales. Furthermore, the participants were asked how they felt about luffa fruit powder after evaluating the samples (comment question). The hedonic scores were not significantly affected by the addition of the luffa seed powders dried at different temperatures. However, the luffa seed powder was associated with a mild flavour, as well as being described as earthy and vegetal. The participants did indicate that the luffa seed powder added moistness to the couscous. As the drying temperature increased so did the intensity of the flavour. Furthermore, participants indicated they would be interested in luffa seed powder if it has nutritional benefits. Overall, this study investigated the sensory properties of a novel ingredient, luffa seed powder, and future studies should continue to explore its sensory properties and chemical components. Full article

Due to consumer needs and the prevalence of gluten-related disorders such as celiac disease, the gluten-free food market is expanding rapidly and is expected to surpass USD 2.4 billion by 2036. The objective of this study was to substitute wheat flour with oat, black rice, brown rice, buckwheat, and rice flours in the production of gluten-free scones, to assess consumer acceptability, and to identify factors contributing to consumer acceptability using check-all-that-apply questions. The 10 attributes of appearance, color, texture, grainy flavor, sweetness, familiar flavor, novelty, familiarity, moistness, and consistency exhibited statistically significant differences among the samples (p < 0.001). One hundred consumers evaluated 18 attributes using a nine-point hedonic scale, and all attributes demonstrated statistically significant differences across six samples (p < 0.001). The samples from buckwheat and wheat scored the highest in consumer acceptability. The results indicate a strong positive correlation between overall liking and purchase intention, with sensory attributes such as nutty flavor, cohesiveness, appearance, moistness, color, texture, and inner softness positively influencing consumer acceptability. The attributes affecting negatively were thick throat sensation, unique flavor, and stuffiness. This study is expected to provide data to aid in the development of better-tasting gluten-free products that meet customer and market needs. Full article

Aircraft boarding is one of the most essential handling processes carried out at an airport. Its importance derives from the fact that it is part of the critical path; that is, the time of its completion determines the aircraft’s departure time. It is desirable to examine how the efficiency of the boarding process changes depending on the disruptions that may occur. It is particularly important to check how they affect existing and partially applied boarding strategies that are assumed to improve the process. This article aimed to develop a microscale model of the boarding process implemented as a hierarchical, timed, colored Petri net (HTCPN). This model makes it possible to consider various disturbances in the boarding process, two of which were the subject of simulation experiments that were realized. As a result, it was found that due to disruption, not only did the effectiveness of boarding strategies change, but also their ordering relative to the total completion time of the process. This led to the conclusion that using models similar to those presented in this article is necessary, where input parameters can be determined dynamically. This means that it can be recommended to observe the currently ongoing boarding and, if any disruption is detected, perform a fast simulation to answer the question about the most advantageous boarding strategy in this situation. Full article

When the UN Sustainable Development Goals (SDGs) were proposed, they provided a reality check, questioning the ways in which organisations were addressing the needs of society and the planet, across all sectors worldwide. In response, this study contributes to SDG 12, Responsible Production and Consumption, more specifically considering support for restaurant owners as they transition into environmentally focused and sustainable operations, in particular with the proposal of a researched and informed sustainability toolkit. To understand the factors underpinning successful sustainability practices in restaurants, we utilise the motivation, opportunity, and ability (MOA) framework, applying a two-step focus group methodology. The first focus group included restaurant owners/managers who had effectively applied sustainable operational practices. For the second focus group, we utilised MOA factors uncovered in the first group as discussion points to engage with restaurant owners/managers who had yet to embrace environmentally sustainable practices in order to understand the reasons preventing them from applying sustainability practices. Continuous networking and dynamic support were highlighted as crucial elements needed by restaurant owners to enable them to adopt and fruitfully implement sustainable practices. Theoretical contributions include the value of the MOA framework for evaluating sustainability practices, informing the development of a sustainability toolkit, and its suitability as a framework to support non-chain tourism businesses in developing practices to support sustainability, inclusivity, and access. Full article

Previous research and classroom practices have focused on dispelling shame, assuming that it negatively impacts self-efficacy and performance, and overlook the potential for shame to facilitate learning. To investigate this gap, we designed an intervention with 132 tertiary education students (45.46% male, 64.4% European ethnicity) spanning diverse undergraduate majors to show how and why designing for experiences of shame and appropriately regulating them can differentially impact learning. Shame was induced through autobiographical recall, imagination, and failure-driven problem-solving before randomly assigning students to three conditions: two with explicit tips for either decreasing shame or maintaining shame (experimental groups) and one with no-regulation tips (control). Students worked on an introductory data science problem deliberately designed to lead to failure before receiving canonical instruction. Manipulation checks triangulating self-reported and facial expression analysis data suggested that shame was successfully regulated in the intended direction, depending on the condition. Our results, drawing on mixed-methods analyses, further suggested that relative to students decreasing shame, those who maintained shame during initial problem-solving had (i) similar post-test performance on a non-isomorphic question and improved performance on the transfer question, evidenced by accuracy in solving applied data science and inference tasks; (ii) complete reasoning across all post-test questions, as evidenced by elaborations justifying the usage of graphical and numerical representations across those tasks; and (iii) use of superior emotion regulation strategies focused on deploying attention to the problem and reappraising its inherently challenging nature with an approach orientation, as evidenced by a higher frequency of such codes derived from self-reported qualitative data during the intervention. Decreasing shame was as effective as not engaging in explicit regulation. Our results suggest that teaching efforts should be channeled to facilitate experiencing emotions that are conducive to goals, whether they feel pleasurable or not, which may inevitably involve emoting both positive and negative (e.g., shame) in moderation. However, it is paramount that emotional experiences are not merely seen by educators as tools for improved content learning but as an essential part of holistic student development. We advocate for the deliberate design of learning experiences that support, rather than overshadow, students’ emotional growth. Full article

The era of openBIM is ongoing, and the open standards IDS (Information Delivery Specification) and bSDD (BuildingSMART Data Dictionary) are significantly impacting the automation of information exchange and verification in projects, using predefined data, enabling quick updates and combining it with other data. IDS and bSDD complement the widely used open IFC (Industry Foundation Classes) format, which solves the issue of purchasing both the appropriate hardware and software to work with native files from different sources. As a result, external assignments or internal tasks have the potential to precisely define the desired product, speeding up the entire process carried out according to the BIM (Building Information Modeling) methodology, reducing the number of questions about ambiguous requirements, and eliminating the need for continuous feedback on the model. Both files can be used on the developer’s side as an attachment to BIM documents, as well as on the construction site or during the bidding process. Digital IDS and bSDD files can be interpreted not only by humans but also by machines, bringing added value and usability. An identified research gap is the lack of a clear procedure for applying the mentioned standards, and thus, the common problem of purchasing software to check the quality of the model for information content. This article demonstrates the possibility of creating IDS and bSDD files in tools based on filling in specific fields and their interrelation, as well as their practical use in the process of verifying the information content of BIM models. By adopting open standards, teams can improve communication, increase productivity, and ensure continuity in data exchanges. Full article

This study aims to investigate the complex link between carbon emissions, firm value, and financial choice in regard to the GCC, a dynamic emerging economy. It also seeks to answer the question on whether the financial structure of a firm moderates the correlation between carbon emissions and firm value. We focus on analyzing data from non-financial firms registered on the GCC stock markets between 2010 and 2020. By applying the GLS technique, we assess the impact of carbon emissions on firm value and examine the manner in which a firm’s financial structure either enhances or hinders this relationship. The results demonstrate that there is a strong and adverse connection between carbon emissions and corporate value, as increased emissions translate into lower corporate value. The study then moves on to emphasize the critical role that capital financing plays in mitigating the detrimental effects of carbon emissions. This is accomplished by balancing both debt and equity in terms of their proper proportions (optimal capital structure). However, excessive borrowing could have adverse consequences in terms of carbon emissions on company value. Moreover, the GMM estimator is also applied to carry out a robustness check and the results are consistent with the main findings. This study highlights the significance of financial strategy in advancing sustainability and protecting business value. These findings are supported by both stakeholder and signaling theory, proving that companies can use their capital financing to signal their dedication to sustainability. These results could be used by GCC policymakers to create rules and regulations that encourage environmentally friendly corporate activities and efforts to lower emissions. The research expands the existing literature by examining the difficulties and opportunities faced by GCC firms when combining financial strategy with environmental objectives. It may be necessary to perform additional research in regard to various circumstances and for an extended period, because this study is restricted to non-financial sectors. Full article

Machine learning approaches for pattern recognition are increasingly popular. However, the underlying algorithms are often not open source, may require substantial data for model training, and are not geared toward specific tasks. We used open-source software to build a green toad breeding call detection algorithm that will aid in field data analysis. We provide instructions on how to reproduce our approach for other animal sounds and research questions. Our approach using 34 green toad call sequences and 166 audio files without green toad sounds had an accuracy of 0.99 when split into training (70%) and testing (30%) datasets. The final algorithm was applied to amphibian sounds newly collected by citizen scientists. Our function used three categories: “Green toad(s) detected”, “No green toad(s) detected”, and “Double check”. Ninety percent of files containing green toad calls were classified as “Green toad(s) detected”, and the remaining 10% as “Double check”. Eighty-nine percent of files not containing green toad calls were classified as “No green toad(s) detected”, and the remaining 11% as “Double check”. Hence, none of the files were classified in the wrong category. We conclude that it is feasible for researchers to build their own efficient pattern recognition algorithm. Full article

Conducting a literature review is a mandatory initial stage in scientific research on a specific topic. However, this task is becoming much more complicated in certain areas (such as food science and technology) due to the huge increase in the number of scientific publications. Different tools based on artificial intelligence could be very useful for this purpose. This paper addresses this challenge by developing and checking different tools applicated to an emerging topic in food science and technology: “hybrid meat products”. The first tool to be applied was based on Natural Language Processing and was used to select and reduce the initial number of papers obtained from a traditional bibliographic search (using common scientific databases such as Web Science and Scopus) from 938 to 178 (a 87% reduction). The second tool was a project based on the interplay between Retrieval-Augmented Generation (RAG) and LLAMA 3, which was used to answer key questions relating to the topic under review (“hybrid meat products”) but limiting the context to the scientific review obtained after applying the first AI tool. This new strategy for reviewing scientific literature could be a major advance on from the traditional literature review procedure, making it faster, more open, more accessible to everyone, more effective, more objective, and more efficient—all of which help to fulfill the principles of open science. Full article