Correlation analysis and modeling application from objective indicators to subjective evaluation of scented tea: A case study of rose tea.

Different scented teas provide various choices for consumers from appearance, aroma, flavor and others. Aiming to define advantages and market positions of different scented teas and promote optimization of market structure, characteristics for scented tea favored by consumers and outstanding attributes of different scented teas should be clarified. Rose tea was taken as study object. Sensory evaluation and consumer acceptance were investigated. GC-MS and HPLC fingerprints were established. Physicochemical characteristics were determined. RGB integration analysis was inventively proposed for correlation analysis. The volatile compounds with spicy, green or herbal odor as camphene, ß-phenethyl acetate, eugenol, and physicochemical parameters as antioxidant capacity, reducing sugar content, pH showed positive correlation with popular sensory properties. Six models for consumer preference by objective description were built through GA-SVR (accuracy = 1), and APP was developed. The research mode of scented tea has been successfully established to study multiple subjective characteristics with measurable objective parameters.

Essential concepts for effective mixed methods research in the health professions: AMEE Guide No. 173.

Mixed-methods research involves combining quantitative and qualitative approaches and mixing and integrating at multiple stages. It is gaining more attention and interest in health professions education research and evaluation. However, many undertake mixed-methods research for the first time without a rich understanding of the differences in practice associated with mixed-methods research. This often leads to research efforts that do not result in more complex, nuanced understandings of the phenomena being studied. Mixed-methods research requires researchers to thoughtfully and often creatively weave together their projects' various qualitative and quantitative strands. This effort ideally starts at the design stage and continues through the remainder of the research effort. We have aggregated resources and organized this guide to introduce researchers to what we see as some essential concepts, practices, and scholarship in mixed methods which will be useful to those just starting on their mixed-methods journey and those already engaging in mixed-methods research. This guide begins by discussing three vital characteristics of mixed-methods research that set it apart from mono-method research: its purposes, alternative philosophical stances, and integration, long viewed as a defining characteristic. We then discuss further important considerations, such as conducting mixed-methods literature reviews, timing and priority of qualitative and quantitative strands, and research design typologies. To complement these discussions, we have provided illustrative examples of high-quality peer-reviewed mixed-methods research from health professions education and other closely associated areas (e.g. health and clinical research). This guide also includes several activities and recommended resources, such as journals, textbooks, and professional societies, that researchers can use to deepen their practice and understanding and mixed-methods research. We hope the content, resources, article examples, and activities will be the prologue to fruitful explorations of mixed-methods research, helping researchers make informed, intentional choices about future mixed-methods efforts.

Enhancing Traditional Chinese Medicine healthcare system in Taiwan post-COVID-19 pandemic: A strategic focus on specialization.

Despite the advancements in precision medicine, regenerative medicine, and smart healthcare, traditional Chinese medicine (TCM) remains vital in Taiwan, reflecting its cultural and historical heritage. TCM is commonly used in conjunction with or as an alternative to conventional medicine and is reimbursed by Taiwan's National Health Insurance, enabling the Taiwanese people to integrate traditional and modern treatments for comprehensive healthcare. This article explores the critical role of specialization in TCM amid evolving healthcare challenges. This highlights the need for specialized knowledge among TCM physicians to manage iatrogenic risks, such as drug-herb interactions, and to improve healthcare outcomes, particularly when integrating TCM with Western medicine. Specialization enhances treatment precision, patient outcomes, and clinical research quality. Drawing on South Korea's experience in establishing a specialist physician system for traditional Korean medicine, Taiwan's Ministry of Health and Welfare's initiatives to advance systematic TCM training and regulatory frameworks were examined, showcasing the development and implementation of a TCM specialist physician training program. In conclusion, specialized physician training in TCM improves patient care, optimizes healthcare utilization, and promotes long-term sustainability of the health insurance system by aligning TCM practices with modern healthcare needs.

The integration of psychology and medicine: an empirical study of curriculum reform from the perspective of China.

Under the background of new medicine, innovative reform of medical education is mushrooming in Mainland, China. New medicine advocates an innovative training mode supported by medicine + X discipline. In the present study, we made use of the advantages of medical colleges to reform the curriculum of applied psychology and constructed an innovative curriculum system by integrating medicine with psychology. This study aimed to evaluate the effects of the innovative curriculum system on the curriculum satisfaction of applied psychology and investigate the key factors that impact students' curriculum satisfaction. The class of 2018-2022 college students from the Department of Applied Psychology who were under different course training systems were selected to complete the curriculum evaluation questionnaire to evaluate students' curriculum satisfaction. The results demonstrated that curriculum satisfaction of the innovative curriculum system was significantly higher than that the one prior to the curriculum reform (P < 0.001), curriculum design, and teaching effect are the significant predictors affecting curriculum satisfaction. The results of this research provide innovative ideas for curriculum reform in psychology and strategies for the integration and development of medicine and psychology.

Sensory integration of food and population density during the diapause exit decision involves insulin-like signaling in Caenorhabditis elegans.

Decisions made over long time scales, such as life cycle decisions, require coordinated interplay between sensory perception and sustained gene expression. The Caenorhabditis elegans dauer (or diapause) exit developmental decision requires sensory integration of population density and food availability to induce an all-or-nothing organismal-wide response, but the mechanism by which this occurs remains unknown. Here, we demonstrate how the Amphid Single Cilium J (ASJ) chemosensory neurons, known to be critical for dauer exit, perform sensory integration at both the levels of gene expression and calcium activity. In response to favorable conditions, dauers rapidly produce and secrete the dauer exit-promoting insulin-like peptide INS-6. Expression of ins-6 in the ASJ neurons integrates population density and food level and can reflect decision commitment since dauers committed to exiting have higher ins-6 expression levels than those of noncommitted dauers. Calcium imaging in dauers reveals that the ASJ neurons are activated by food, and this activity is suppressed by pheromone, indicating that sensory integration also occurs at the level of calcium transients. We find that ins-6 expression in the ASJ neurons depends on neuronal activity in the ASJs, cGMP signaling, and the pheromone components ascr#8 and ascr#2. We propose a model in which decision commitment to exit the dauer state involves an autoregulatory feedback loop in the ASJ neurons that promotes high INS-6 production and secretion. These results collectively demonstrate how insulin-like peptide signaling helps animals compute long-term decisions by bridging sensory perception to decision execution.

Critical factors challenging the integration of AI technologies in healthcare workplaces: a stakeholder assessment.

PURPOSE: This study aims to identify and assess the factors challenging the integration of artificial intelligence (AI) technologies in healthcare workplaces. DESIGN/METHODOLOGY/APPROACH: The study utilized a mixed approach, that starts with a literature review, then developing and testing a questionnaire survey of the factors challenging the integration of AI technologies in healthcare workplaces. In total, 46 factors were identified and classified under 6 groups. These factors were assessed by four different stakeholder categories: facilities managers, medical staff, operational staff and patients/visitors. The evaluations gathered were examined to determine the relative importance index (RII), importance rating (IR) and ranking of each factor. FINDINGS: All 46 factors were assessed as "Very Important" through the overall assessment by the four stakeholder categories. The results indicated that the most important factors, across all groups, are "AI ability to learn from patient data", "insufficient data privacy measures for patients", "availability of technical support and maintenance services", "physicians' acceptance of AI in healthcare", "reliability and uptime of AI systems" and "ability to reduce medical errors". PRACTICAL IMPLICATIONS: Determining the importance ratings of the factors can lead to better resource allocation and the development of strategies to facilitate the adoption and implementation of these technologies, thus promoting the development of innovative solutions to improve healthcare practices. ORIGINALITY/VALUE: This study contributes to the body of knowledge in the domain of technology adoption and implementation in the medical workplace, through improving stakeholders' comprehension of the factors challenging the integration of AI technologies.

The impact of accent stigma on self-efficacy and acculturation strategy among international students in the United States.

Introduction: This paper aimed to understand international students' experience of accent stigma during interpersonal interactions, and how it affected their self-efficacy and acculturation strategy during intercultural adjustment. Methods: Study 1 conducted in-depth interviews with 15 international students (60% female, 21.6 years old on average), asking for narratives on how they perceived accent stigma was enacted in everyday scenarios. Study 2 distributed a survey to 132 international students (53.5% female, 25.52 years old on average) with scales measuring perceived accent stigma, perceived discrimination, perceived hate, fear, self-efficacy, and integration into the host culture. Results: Based on thematic analysis, Study 1 identified verbal disapproval, verbal avoidance, nonverbal disapproval, and nonverbal avoidance as four behavioral markers that signal the enactment of accent stigma during interpersonal interactions. Study 2 assessed a path model and found that accent stigma was associated with more perceived discrimination, perceived hate, and fear. Accent stigma also had negative impacts on self-efficacy, which in turn, resulted in poor integration into the host culture. Conclusion: This study examined the negative consequences of accent stigma on international students and highlighted the role of self-efficacy during international students' intercultural adjustment. Findings had important theoretical and practical implications in terms of better supporting and serving international students during their stressful transitional period in a new culture.

Wafer-level heterogeneous integration of electrochemical devices and semiconductors for a monolithic chip.

Micro-scale electrochemical devices, despite their wide applications and unique potential to achieve 'More than Moore's law', face significant limitations in constructing functional chips due to their inability to integrate with semiconductors. In this study, we propose an electrochemical gating effect and material work function matching criteria, and thus establish the first heterogeneous integration theory for electrochemical devices and semiconductors. Accordingly, we create a novel 3D integration architecture and CMOS-compatible fabrication methodology, including optimizing individual devices, electron/ionic isolation, interconnection, and encapsulation. As a demonstration, we integrate electrochemical micro supercapacitors with a P-N junction diode rectifier bridge circuit and successfully obtain the first monolithic rectifier-filter chip, which shows a revolutionary volume reduction of 98% compared to non-integrateable commercial products. The chip can provide a stable output with a tiny ripple factor of 0.23% in typical conditions, surpassing the requirements of most applications by more than one order of magnitude. More importantly, all the processes are suitable for mass production in standard foundries, allowing ubiquitous applications of electrochemistry in integrated electronics.

Exploring home healthcare clinicians' needs for using clinical decision support systems for early risk warning.

OBJECTIVES: To explore home healthcare (HHC) clinicians' needs for Clinical Decision Support Systems (CDSS) information delivery for early risk warning within HHC workflows. METHODS: Guided by the CDS "Five-Rights" framework, we conducted semi-structured interviews with multidisciplinary HHC clinicians from April 2023 to August 2023. We used deductive and inductive content analysis to investigate informants' responses regarding CDSS information delivery. RESULTS: Interviews with thirteen HHC clinicians yielded 16 codes mapping to the CDS "Five-Rights" framework (right information, right person, right format, right channel, right time) and 11 codes for unintended consequences and training needs. Clinicians favored risk levels displayed in color-coded horizontal bars, concrete risk indicators in bullet points, and actionable instructions in the existing EHR system. They preferred non-intrusive risk alerts requiring mandatory confirmation. Clinicians anticipated risk information updates aligned with patient's condition severity and their visit pace. Additionally, they requested training to understand the CDSS's underlying logic, and raised concerns about information accuracy and data privacy. DISCUSSION: While recognizing CDSS's value in enhancing early risk warning, clinicians highlighted concerns about increased workload, alert fatigue, and CDSS misuse. The top risk factors identified by machine learning algorithms, especially text features, can be ambiguous due to a lack of context. Future research should ensure that CDSS outputs align with clinical evidence and are explainable. CONCLUSION: This study identified HHC clinicians' expectations, preferences, adaptations, and unintended uses of CDSS for early risk warning. Our findings endorse operationalizing the CDS "Five-Rights" framework to optimize CDSS information delivery and integration into HHC workflows.

Exploring the integration of culturally and linguistically diverse nurses and nursing students in healthcare: A cross-sectional study.

AIM: To investigate the factors that influence the integration of CALD nurses and nursing students into the healthcare system and to explore their perception of integration. BACKGROUND: In many countries, strengthening the nursing workforce requires a ramping up of international recruitment. Culturally and linguistically diverse (CALD) nurses and nursing students experience significant challenges when integrating into new healthcare systems. DESIGN: Data for this cross-sectional observational study were collected electronically from CALD nurses (n = 15) and from nursing students (n = 87). METHODS: Three new instruments were developed and used to measure nurses' own role at work, cultural and linguistic diversity at work, and the professional competence development. Likert scale from 1 to 4 was used to evaluate the agreement rate. The study data were analysed using K-means cluster analysis to determine the integration profiles. RESULTS: Three integration profiles (A, B, and C) were identified based on the participants' self-assessed perceptions of integration. Perceptions of each profile ranged from low (≤2.49) to high (≥3.50), with most being intermediate (2.50-3.49). Further, the perceptions of integration were lowest in Profile A and highest in Profile C. The profiles differed statistically significantly in all other measured integration areas, except CALD nurses' language skills and in the nurses' ability to develop their skills. Individuals educated in Finland, who have clinical practice experience and assessed their language proficiency at least at an intermediate level, demonstrated better performance, a deeper understanding of the nurse's role in healthcare, greater confidence in their skills, and fewer experiences of discrimination. CONCLUSIONS: Integration is weakest among those with lower language skills and who completed their education outside of Finland. Healthcare organisations should develop integration models and mentoring programmes informed by new insights to support the integration of CALD nurses into the healthcare system. These models and programmes could help CALD nurses and nursing students to better understand their roles in healthcare.

Transforming Clinical Research: The Power of High-Throughput Omics Integration.

High-throughput omics technologies have dramatically changed biological research, providing unprecedented insights into the complexity of living systems. This review presents a comprehensive examination of the current landscape of high-throughput omics pipelines, covering key technologies, data integration techniques and their diverse applications. It looks at advances in next-generation sequencing, mass spectrometry and microarray platforms and highlights their contribution to data volume and precision. In addition, this review looks at the critical role of bioinformatics tools and statistical methods in managing the large datasets generated by these technologies. By integrating multi-omics data, researchers can gain a holistic understanding of biological systems, leading to the identification of new biomarkers and therapeutic targets, particularly in complex diseases such as cancer. The review also looks at the integration of omics data into electronic health records (EHRs) and the potential for cloud computing and big data analytics to improve data storage, analysis and sharing. Despite significant advances, there are still challenges such as data complexity, technical limitations and ethical issues. Future directions include the development of more sophisticated computational tools and the application of advanced machine learning techniques, which are critical for addressing the complexity and heterogeneity of omics datasets. This review aims to serve as a valuable resource for researchers and practitioners, highlighting the transformative potential of high-throughput omics technologies in advancing personalized medicine and improving clinical outcomes.

Data Management in Biobanking: Strategies, Challenges, and Future Directions.

Biobanking plays a pivotal role in biomedical research by providing standardized processing, precise storing, and management of biological sample collections along with the associated data. Effective data management is a prerequisite to ensure the integrity, quality, and accessibility of these resources. This review provides a current landscape of data management in biobanking, discussing key challenges, existing strategies, and potential future directions. We explore multiple aspects of data management, including data collection, storage, curation, sharing, and ethical considerations. By examining the evolving technologies and methodologies in biobanking, we aim to provide insights into addressing the complexities and maximizing the utility of biobank data for research and clinical applications.

Enhanced heterologous gene expression in Trichoderma reesei by promoting multicopy integration.

Trichoderma reesei displays a high capability to produce extracellular proteins and therefore is used as a platform for the expression of heterologous genes. In a previous study, an expression cassette with the constitutive tef1 promoter and the cbh1 terminator compatible with flow cytometry analysis was developed. Independent transformants obtained by a random integration into the genome of a circular plasmid containing the expression cassette showed a wide range of fluorescence levels. Whole genome sequencing was conducted on eight of the transformed strains using two next-generation sequencing (NGS) platforms: Illumina paired-end sequencing and Oxford Nanopore. In all strains, the expression plasmid was inserted at the same position in the genome, i.e., upstream of the tef1 gene, indicating an integration by homologous recombination. The different levels of fluorescence observed correspond to different copy numbers of the plasmid. Overall, the integration of a circular plasmid with the green fluorescence protein (egfp) transgene under the control of tef1 promoter favors multicopy integration and allows over-production of this heterologous protein on glucose. In conclusion, an expression system based on using the tef1 promotor could be one of the building blocks for improving high-value heterologous protein production by increasing the copy number of the encoding genes into the genome of the platform strain. KEY POINTS: • Varied eGFP levels from tef1 promoter and cbh1 terminator expression. • Whole genome sequencing on short and long reads platforms reveals various plasmid copy numbers in strains. • Plasmids integrate at the same genomic site by homologous recombination in all strains.

Landscape transition-induced ecological risk modeling using GIS and remote sensing techniques: a case of Saint Martin Island, Bangladesh.

Uncontrolled human activity and nature are causing the deterioration of Saint Martin Island, Bangladesh's only tropical island, necessitating sustainable land use strategies and ecological practices. Therefore, the present study measures the land use/cover transition from 1974 to 2021, predicts 2032 and 2042, and constructs the spatiotemporal features of the Landscape Ecological Risk Index based on land use changes. The study utilized Maximum Likelihood Classification (MLC) on Landsat images from 1974, 1988, 2001, 2013, and Sentinel 2B in 2021, achieving ≥ 80% accuracy. The MLP-MC approach was also used to predict 2032 and 2042 LULC change patterns. The eco-risk index was developed using landscape disturbance and vulnerability indices, Bayesian Kriging interpolation, and spatial autocorrelations to indicate spatial clustering. The research found that settlements increased from 2.06 to 28.62 ha between 1974 and 2021 and would cover 41.22 ha in 2042, causing considerable losses in agricultural areas, waterbodies, sand, coral reefs, and vegetation. The area under study showed a more uniform and homogenous environment as Shannon's diversity and evenness scores decreased. The ecological risk of Saint Martin Island increased from 4.31 to 31.05 ha between 1974 and 2042 due to natural and human factors like erosion, tidal bores, population growth, coral mining, habitat destruction, and intensive agricultural practices and tourism, primarily in Nazrul Para, Galachipa, and Western Dakhin Para. The findings will benefit St. Martin Island stakeholders and policymakers by providing insights into current and potential landscape changes and land eco-management.

Beyond embodiment: Rethinking the integration of cognitive neuroscience and mechanistic explanations.

This commentary critiques Mougenot and Matheson's proposal to integrate embodied cognition with mechanistic explanations in cognitive neuroscience. We suggest more promising directions for embodied cognitive neuroscience, focusing on neuroethological research and evolutionary studies of nervous systems. These approaches, compatible with wide mechanistic explanations, offer a robust path forward by examining central nervous system function within whole organisms in their environments.

The influence of spatial frequency information on temporal synchrony perception on audiovisual stimuli.

Previous studies have shown that the spatial frequency (SF) of visual stimuli alters the perceived timing of subjective simultaneity. However, these studies have been limited to the effects of a single SF component. In this study, I measured and compared the points of subjective simultaneity (PSS) for audiovisual stimuli among low, high, and composited SF components. This experiment comprised a dual-presentation timing task and a ternary response format to eliminate response bias. The results indicated that the PSS value of the composition-SF stimuli was more toward visual-lead timing than the low-SF stimuli and did not differ significantly from that of the high-SF stimuli. The correlation coefficients showed that the PSS in composition-SF stimuli marginally approximated that of high-SF stimuli higher than that of low-SF stimuli. Future studies are needed to confirm these findings using visual stimuli with a wider range of SF components and with a modulated contrast.

[Construction of a Kluyveromyces lactis strain with multi-copy integration for enhanced bovine chymosin production by CRISPR/Cas9 and UV mutagenesis].

Bovine chymosin is an essential food enzyme widely used in cheese production in the dairy industry. This study used a codon-optimized prochymosin gene to construct an expression cassette for extracellular expression of bovine chymosin in Kluyveromyces lactis. After integration of the prochymosin gene into the host cell genome, the single-copy integration strain KLUcym showed the clotting activity of 40 U/mL in a shake flask. The CRISPR/Cas9 system was employed to delete amdS and construct the double-copy integration strain and triple-copy integration strain, which achieved the clotting activities of 70 U/mL and 78 U/mL in shake flasks, separately. Subsequently, multiple rounds of UV mutagenesis were performed on the double-copy strain KLUcymD, and a recombinant K. lactis strain with a high yield of bovine chymosin was obtained. This strain achieved the clotting activity of 270 U/mL in a shake flask and 600 U/mL in a 5 L bioreactor after 76 h. In summary, we construct a strain KLUcymD-M2 for high production of bovine chymosin, which lays a foundation of industrial fermentation.

[Teaching reform and practice of "Principles of Fermentation Engineering" under the integration of production, education, and research].

Under the background of developing new engineering disciplines, teaching reform is a key strategy applied by higher education institutions to develop new engineering professionals and accomplish the mission of cultivating morality and nurturing talents. As a foundational course for majors of life sciences and food sciences, "Principles of Fermentation Engineering" has a strong scientific, practical, and historical focus. It serves as an excellent resource for changing the way that college students are taught professional courses. To examine the reform and practical route of specialized course teaching combined with innovation and entrepreneurship fostering under the integration production, education, and research, this article takes the teaching of "Principles of Fermentation Engineering" for undergraduates majoring in food science and engineering at Hebei Agricultural University as an example. A new teaching paradigm integrating production, education, and research is developed considering a variety of factors, including instructional content, teaching methods, and evaluation approaches. This paradigm is result-oriented, replaces examination with competition, and promotes learning by research. It achieves the integration of specialized course teaching and innovation and entrepreneurship fostering and lays a foundation for the teaching reform and the development of professional talents in the context of developing new engineering disciplines.

Visual feedback and motor memory contributions to sustained motor control deficits in autism spectrum disorder across childhood and into adulthood.

Background: Autistic individuals show deficits in sustained fine motor control which are associated with an over-reliance on visual feedback. Motor memory deficits also have been reported during sustained fine motor control in autism spectrum disorders (ASD). The development of motor memory and visuomotor feedback processes contributing to sustained motor control issues in ASD are not known. The present study aimed to characterize age-related changes in visual feedback and motor memory processes contributing to sustained fine motor control issues in ASD. Methods: Fifty-four autistic participants and 31 neurotypical (NT) controls ages 10-25 years completed visually guided and memory guided sustained precision gripping tests by pressing on force sensors with their dominant hand index finger and thumb. For visually guided trials, participants viewed a stationary target bar and a force bar that moved upwards with increased force for 15s. During memory guided trials, the force bar was visible for 3s, after which participants attempted to maintain their force output without visual feedback for another 12s. To assess visual feedback processing, force accuracy, variability (standard deviation), and regularity (sample entropy) were examined. To assess motor memory, force decay latency, slope, and magnitude were examined during epochs without visual feedback. Results: Relative to NT controls, autistic individuals showed a greater magnitude and steeper slope of force decay during memory guided trials. Across conditions, the ASD group showed reduced force accuracy (ß = .41, R2 = 0.043, t79.3=2.36, p = 0.021) and greater force variability (ß=-2.16, R2 = .143, t77.1=-4.04, p = 0.0001) and regularity (ß=-.52, R2 = .021, t77.4=-2.21, p = 0.030) relative to controls at younger ages, but these differences normalized by adolescence (age × group interactions). Lower force accuracy and greater force variability during visually guided trials and steeper decay slope during memory guided trials were associated with overall autism severity. Conclusions: Our findings that autistic individuals show a greater rate and magnitude of force decay than NT individuals following the removal of visual feedback indicate that motor memory deficits contribute to fine motor control issues in ASD. Findings that sensorimotor differences in ASD were specific to younger ages suggest delayed development across multiple motor control processes.

Short-latency afferent inhibition and its relationship to covert sensory and motor hand impairment in multiple sclerosis.

OBJECTIVE: To investigate sensorimotor integration by quantifying short-latency afferent inhibition (SAI) in people with MS who experience manual dexterity problems compared to controls. METHODS: 22 people with MS with self-reported manual dexterity problems and 10 sex and age-matched controls were assessed using various upper extremity clinical tests. SAI was assessed by a transcranial magnetic stimulation pulse over the primary motor cortex preceded by peripheral nerve stimulation to the median nerve at 6 interstimulus intervals 2 - 8 ms longer than individualized N20 latencies. RESULTS: Although within normal limits, persons with MS exhibited significantly slower Nine Hole Peg Test performance and pinch strength in the dominant hand. They also exhibited greater sensory impairment (monofilament test) in the dominant hand. Persons with MS showed significantly greater disinhibition of SAI in the dominant hand compared to controls, which was significantly correlated with weaker pinch strength. CONCLUSION: Reduced SAI in people with MS, particularly in the dominant hand, signifies disruptions in cortical cholinergic inhibitory activity and is associated with lower pinch strength. SIGNIFICANCE: Evaluating changes in SAI may offer insight into the disrupted cortical cholinergic inhibitory activity that contributes to sensorimotor disintegration, potentially advancing disease management in persons with MS.