Quantitative Measurements Research Articles

Evaluation of ocular surface parameters before and after cryo- and laser therapy for distichiasis in dogs: A pilot study.

The aim of this pilot study was to establish a satisfactory, scientific approach to effectively compare quantitative measurements of various ocular surface parameters before and after surgical treatment in dogs suffering from distichiasis. An ophthalmic examination was conducted on 12 dogs (23 eyes) before and after surgical treatments for distichiasis, at four different time points, (t0 = before surgery, t1 = 1-2 h after surgery, t2 = 1 week after surgery, t3 = 1 month after surgery, and t4 = 6 months after surgery) between 2021 and 2022, and analyzed retrospectively. The examination included Schirmer tear test-1 (STT-1), interferometry, noninvasive tear film break-up time (NIBUT), tear meniscus size (TMS), and meibography. No statistically significant changes were found in STT-1 (t0: 22.2 ± 6.5 mm, t2: 22.5 ± 5.7 mm, t3: 20.8 ± 5.1 mm, and t4: 22.6 mm ± 4.8 mm) before and after surgery. Mean interferometry scores showed a slight, not statistically significant, decrease from t0 to t3 and t4 (t0: 2.1 ± 0.8, t1: 2.1 ± 0.7, t2: 2.1 ± 0.9, t3: 1.8 ± 0.6, and t4: 1.9 ± 1.1). Mean NIBUT did not change significantly between time points (t0: 3.9 ± 1.3 s, t1: 4.0 ± 1.3 s, t2: 4.0 ± 1.4 s, t3: 3.5 ± 0.7 s, and t4: 3.5 ± 0.9 s). TMS showed a slight, not statistically significant increase (t0: 0.5 ± 0.3 mm, t1: 0.5 ± 0.3, t2: 0.5 ± 0.3 mm, t3: 0.6 ± 0.2 mm, and t4: 0.7 ± 0.3 mm). There were no changes in the gross morphology of the meibomian glands (MG). This pilot study could not detect a negative effect of different forms of treatment of distichiasis on the precorneal tear film parameters in dogs. However, due to the study's retrospective nature and small sample size, no definitive conclusion can be drawn regarding the changes at the different time points.

Mathematical Methods in Determining Spatial Development Priorities for The Industrial Sector at The Level of The Iraqi Governorates: A Study of Quantitative Measures to Determine Investments in Industrial Urbanization

The levels of development exhibit significant disparities across countries and even among different parts of the same governorates. The major focus of many planners and decision makers was to investigate and analyze the regional variation in development levels. The study aims to examine the regional disparities in investment within the industrial sector throughout the governorates of Iraq. This analysis is not just based on quantitative indicators, but also takes into account the specific investment requirements of each governorate. To overcome this issue, we do the following actions: A mathematical model is constructed to elucidate the regional differences in investment amongst governorates. This model use factor analysis to quantify the association between various variables studied. Utilize the Ridge Regression Model to assess the influence of the factors on the geographical distribution of investment. The study aimed to determine the allocation of investment in the industry sector among the Iraqi governorates. The priorities for distribution were as follows: ''Al-Muthanna'', ''Missan'', ''Wasit'', ''Salahuddinni'', ''Thi-Qar'', ''Diala'', ''Kerbala'', ''Kirkuk'', ''Al-Qadisiya'', ''Al-Anbar'', ''Al-Najaf'', ''Babil'', ''Nineueh'', ''Basrah'', and Baghdad. This allocation aimed to achieve a balanced regional development. The value of the challenge coefficient (R^2= 0.84 and the correlation coefficient) (R= 0.91), which indicates the strength of the effect of the economic variables on the investment sector. This value is the spatial distribution of industrial investments among the governorates, and this is confirmed by the decrease in the value of (MSE) as it reached 3319.41, which confirms the increase in the efficiency of the model at (k= 0.016).

Trimodal Multiplexed Lateral Flow Test Strips Assisted with a Portable Microfluidic Centrifugation Device.

During the COVID-19 pandemic, the use of lateral flow assays (LFAs) expanded significantly, offering testing beyond traditional health care. Their appeal lies in the ease of use, affordability, and quick results. However, LFAs often have lower sensitivity and specificity compared with ELISA and PCR tests. Efforts to improve LFAs have increased detection times and complexity, limiting their use in large-scale point-of-care settings. To address this, we propose a novel approach using probes that generate multiple signals to enhance the sensitivity and selectivity. This concept also allows multiplexed LFAs to detect multiple analytes concurrently. We developed a trimodal probe that integrates fluorescence, color, and magnetism into a single nanohybrid. The strong plasmonic absorption and high fluorescence of Au nanoparticles and polymer dots enable qualitative and semiquantitative diagnosis, while the magnetic signal facilitates accurate quantitative measurements. As proof-of-concept targets, we selected CYFRA 21-1 and CA15-3, biomarkers for lung and breast cancer, respectively. This trimodal LFA demonstrated a remarkable detection limit of 0.26 ng/mL for CYFRA 21-1 and 2.8 U/mL for CA15-3. To the best of our knowledge, this is the first platform of a trimodal LFA with multiplexing ability. The platform's accuracy and reliability were validated using clinical serum samples, showing excellent consistency with electrochemiluminescence immunoassay results. This universal concept can be applied to other targets, paving the way for the next-generation LFAs.

Quantitative measurement of the flow depending nasal valve function by elastography with electro-optical distance sensors. A pilot study

Nasal valve function depends on the intensity of the inspiratory nasal airflow, the geometry of the nasal entrance and the mechanical properties of the lateral nasal wall. It is desirable to obtain objective information on the relation between flow and valve movement. In this study, the deflection of the lateral nasal wall and the inspiratory flow were measured on 30 healthy volunteers, aged 18 to 82 without a history of severe trauma or nasal surgery. Electro-optical distance sensors were housed under a full-face protective mask attached to an analogue inspiratory flowmeter. The mean values for normal breathing were assessed at 675 [cm3/s] for the bilateral flow and −0.57 mm for the total movement. With forced breathing, the mean values for the flow of both nostrils were found to be 1434 cm3/s and for the total movement −1.21 mm. Statistically significant differences between normal and forced breathing were found in all participants and in both sexes, but no significant correlation by age. Electro-optical distance measurement, representing a novel technical way for the ‘elastography’ of the nasal valve should be added to advanced 4-phase-rhinomanometers.

Reactive Gas Cluster Ion Beams for Enhanced Drug Analysis by Secondary Ion Mass Spectrometry.

In this study, we investigate the formation and composition of Gas Cluster Ion Beams (GCIBs) and their application in Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) analysis. We focus on altering the carrier gas composition, leading to the formation of (Ar/CO2)n or (H2O)n GCIBs. Our results demonstrate that the addition of a reactive species (CO2) to water GCIBs significantly enhances the secondary ion yield of small pharmaceutical compounds in the positive ion mode. In negative ion mode, the addition of CO2 resulted in either a positive enhancement or no effect, depending on the sample. However, an excess of CO2 in the carrier gas leads to the formation of carbon dioxide clusters, resulting in reduced yields compared to that of water cluster beams. Cluster size also plays a crucial role in overall yields. In a simple two-drug system, CO2-doped water clusters prove effective in mitigating matrix effects in positive ion mode compared to pure water cluster, while in negative ion mode, this effect is limited. These clusters are also applied to the analysis of drugs in a biological matrix, leading to more quantitative measurements as shown by a better fitting calibration curve. Overall, the doping of water clusters with small amounts of a reactive gas demonstrates promising benefits for higher sensitivity, higher resolution molecular analysis, and imaging using ToF-SIMS. The effectiveness of these reactive cluster beams varies depending on the experimental parameters and sample type.

Quantitative photocurrent scanning probe microscopy on PbS quantum dot monolayers.

Photoconductive atomic force microscopy can probe monolayers of PbS/perovskite quantum dots (QDs) with a contact area of 1-3 QDs in stable and reproducible acquisition conditions for I/V curves and photocurrent maps. From the measurements, quantitative values for the barrier height, built-in voltage, diffusion constant and ideality factor are deduced with high precision. The data analysis is based on modelling a superposition of the drift current of the photo-excited charges and a diffusion current across the interface barriers, providing physical insight into the underlying processes. Besides looking into PbS/perovskite on an indium tin oxide substrate, it is shown how the photocurrent is modified by changing either the QD ligand (to thiocyanate) or the substrate (to micro- and nanostructured gold). The dependence of the photocurrent on the light irradiance is found to follow a power law with an exponent of 0.64. Generally, quantitative measurements with high spatial resolution (on the single QD level) can provide significant insight into the processes in nanostructured hybrid optoelectronic components.

Similarity and economy of scale in urban transportation networks and optimal transport-based infrastructures

Designing and optimizing the structure of urban transportation networks is a challenging task. In this study, we propose a method inspired by optimal transport theory and the principle of economy of scale that uses little information in input to generate structures that are similar to those of public transportation networks. Contrarily to standard approaches, it does not assume any initial backbone network infrastructure but rather extracts this directly from a continuous space using only a few origin and destination points, generating networks from scratch. Analyzing a set of urban train, tram and subway networks, we find a noteworthy degree of similarity in several of the studied cases between simulated and real infrastructures. By tuning one parameter, our method can simulate a range of different subway, tram and train networks that can be further used to suggest possible improvements in terms of relevant transportation properties. Outputs of our algorithm provide naturally a principled quantitative measure of similarity between two networks that can be used to automatize the selection of similar simulated networks.

Fibro-adhesive Bursitis: A Novel Sonographic Finding in Adhesive Capsulitis Patients and a Proposal of Management.

Adhesive capsulitis, also known as "frozen shoulder," is a debilitating shoulder condition increasingly linked to fibroadhesive bursitis, particularly after COVID-19 and related vaccinations. There is no definitive gold standard for its treatment, the primary therapeutic objectives of which are the reduction of pain and the restoration of shoulder range of motion. The aim of our study was to analyze treatment outcomes based on quantitative measures of shoulder function and symptom relief. Conducted between January 2022 and April 2023, the research involved 45 patients initially diagnosed with adhesive capsulitis and associated fibroadhesive bursitis. After excluding nine patients for other concomitant pathologies (five for calcific tendinopathy and four for rotator cuff injury), 36 patients were randomized into two groups: one group was treated with glenohumeral hydrodistension, the other with glenohumeral hydrodistension combined with bursal injection. Assessments were conducted at baseline and then 2, 4, and 6months after treatment, focusing on changes in pain levels, functional scores, and range of motion in all planes. Each group followed a home-based rehabilitation protocol. Significant improvements were observed in both treatment groups, with the combined hydrodistension and bursal injection group showing notably superior outcomes. Specifically, the range of motion in flexion improved from an initial median of 80° to 155° in the combined treatment group, compared to an increase from 75.5° to 129° in the group treated with hydrodistension alone. This enhancement was statistically significant (p < 0.001). Regarding pain reduction, the combined treatment group demonstrated a dramatic decrease in visual analogue scale (VAS) scores, from a baseline median of 7 to 1 at the 6-month follow-up. In contrast, the hydrodistension-only group showed a reduction from 7 to 3, with these differences also proving statistically significant (p < 0.001). Ultrasound-guided hydrodistension of the glenohumeral joint, if combined with bursal injection and specific exercises, effectively reduces pain, decreases disability, and improves range of motion in patients with second-stage adhesive capsulitis. This study highlights the importance of a combined approach in the management of this complex condition, especially after the histological changes that occurred after COVID-19 and related vaccinations. ClinicalTrials.gov identifier NCT06062654.

Label-Free Multiple Reaction Monitoring-Mass Spectrometry for Quantifying Phosphopeptides from Extracellular Vesicles.

Increasing efforts have been made to develop proteins in circulating extracellular vesicles (EVs) as potential disease markers. It is in particular intriguing to measure post-translational modifications (PTMs) such as phosphorylation, preserved and stable in EVs. To facilitate the quantitative measurement of EV protein phosphorylation for potential clinical use, a label-free (LF) multiple reaction monitoring (MRM) strategy is introduced by utilizing a synthetic phosphopeptide set (phos-iRT) as the internal standards and a local normalization method. The quantitation method was investigated in terms of its linear dynamic range, sensitivity, accuracy, precision, and matrix effect, with a dynamic range spanning from 10 to 1000 ng/mL and an accuracy ranging from 82.4 to 116.8% for EV samples. Then, the LF-MRM-based local normalization method was utilized to evaluate and optimize our recently developed EVTOP method for the enrichment of phosphopeptides from EVs. Finally, we applied the optimized EV enrichment approach and the LF-MRM-based local normalization method to quantify phosphopeptides in urine EVs from patients with prostate cancer (PCa) and healthy individuals, showcasing the strategy's superiority in quantifying phosphopeptides without isotopic internal standards and validating that the method is generally applicable in MRM-based EV phosphopeptide quantification.

Short-time and long-time dynamics of the zeolite films in the light of alternative diffusion models

Analysis of the dynamics of diffusion of two mixtures of hydrogen and heavier components through a flat zeolite film was carried out. The concepts of short-time and long-time dynamics were introduced. They derive from the observation of temporal trajectories obtained by applying abrupt perturbations of concentrations on one side of the membrane.An alternative description of the diffusion dynamics was proposed compared to the commonly accepted model that employs a matrix of thermodynamic factors Γ. In this way, the difficulty of analytical determination of this matrix for more complex adsorption equilibria was eliminated.The model equations were expressed in a matrix form, which enables its easy extension to any number of components. The proposed research methodology was illustrated using an example of diffusion of two selected mixtures, i.e. {H2, n-C4H10} and {H2, CO2} in silicalite-1. These gaseous mixtures have applications in specific technological processes.The two models were used to perform quantitative benchmarking of short-time and long-time dynamics of flat zeolite membranes. The assumed boundary conditions correspond to a semi-batch Wicke-Kallenbach diffusion cell. It was demonstrated that the phenomena occurring in short-time and long-time diffusion represent two different dynamic features important from a scientific and practical point of view.A quantitative measure for degree of confinement was proposed based on dynamic adsorption-desorption hysteresis.

Overview of ADNI MRI.

The magnetic resonance imaging (MRI) Core has been operating since Alzheimer's Disease Neuroimaging Initiative's (ADNI) inception, providing 20 years of data including reliable, multi-platform standardized protocols, carefully curated image data, and quantitative measures provided by expert investigators. The overarching purposes of the MRI Core include: (1) optimizing and standardizing MRI acquisition methods, which have been adopted by many multicenter studies and trials worldwide and (2) providing curated images and numeric summary values from relevant MRI sequences/contrasts to the scientific community. Over time, ADNI MRI has become increasingly complex. To remain technically current, the ADNI MRI protocol has changed substantially over the past two decades. The ADNI 4 protocol contains nine different imaging types (e.g., three dimensional [3D] T1-weighted and fluid-attenuated inversion recovery [FLAIR]). Our view is that the ADNI MRI data are a greatly underutilized resource. The purpose of this paper is to educate the scientific community on ADNI MRI methods and content to promote greater awareness, accessibility, and use. HIGHLIGHTS: The MRI Core provides multi-platform standardized protocols, carefully curated image data, and quantitative analysis by expert groups. The ADNI MRI protocol has undergone major changes over the past two decades to remain technically current. As of April 25, 2024, the following numbers of image series are available: 17,141 3D T1w; 6877 FLAIR; 3140 T2/PD; 6623 GRE; 3237 dMRI; 2846 ASL; 2968 TF-fMRI; and 2861 HighResHippo (see Table 1 for abbreviations). As of April 25, 2024, the following numbers of quantitative analyses are available: FreeSurfer 10,997; BSI 6120; tensor based morphometry (TBM) and TBM-SYN 12,019; WMH 9944; dMRI 1913; ASL 925; TF-fMRI NFQ 2992; and medial temporal subregion volumes 2726 (see Table 4 for abbreviations). ADNI MRI is an underutilized resource that could be more useful to the research community.

Motivation for patient engagement in patient safety: a multi-perspective, explorative survey

Background and ObjectivesDespite increasing calls for more patient engagement in patient safety, limited knowledge remains on what actually motivates key stakeholders in healthcare to promote patient engagement. We therefore set out to survey key stakeholders of patient engagement in patient safety (i.e., patients, healthcare professionals, and managers). We aimed to identify and explore stakeholder’s distinct and shared motives for patient engagement.MethodsA stepwise Delphi method was applied, utilizing semi-structured online interviews for determination of stakeholder motives for patient engagement in patient safety. In a subsequent online survey, statements were evaluated and identified. 34 subject-matter experts from all relevant stakeholder groups completed the online interviews and 33 the online survey. We used content analysis approaches for qualitative and descriptive analyses for quantitative measures. Further, we evaluated the consensus on distinct and shared motives across stakeholder groups.ResultsSeven key motives for patient engagement in patient safety were identified. Major motives attributed to patients were: (1) To improve experiences and care outcomes for oneself, as well as (2) for future patients, (3) to express gratitude and appreciation, (4) to cope successfully with treatment-related emotions. A motive shared by patients and professionals was (5) to contribute actively to improved delivery of healthcare. To optimize patient safety, costs, and care processes (6) was shared by professionals and managers. Lastly, (7) to improve patient-provider relationships was jointly shared by all stakeholder groups. For four motives (1, 2, 6, 7) consensus was established.ConclusionsIn order to unlock the full potential of future interventions in patient engagement, a deeper understanding of stakeholder motives is essential. We identified a set of distinct and shared motives for patient engagement across relevant stakeholder groups. Our findings may inform future interventions in patient engagement that take account of the motivational foundations and aspirations of all stakeholders who are key for the success for collaborative patient safety and care improvements.Trial registrationID DRKS00031837 (Date May 8, 2023).

A mixed methods analysis of a yearlong intercultural competence curriculum strand

ABSTRACT Background: In a published 2016 report, it was estimated that approximately 80% of public-school teachers identified as White (United States Department of Education 2016). The duality of the issue is that the diversity of the teacher workforce has improved since 1990 but lags in comparison to the increasing diversity of the student population [Gumber, C., and J. Beckhusen. 2022. “U.S. Teachers More Diverse but Still Lag Student Racial, Ethnic Makeup”. United States Census Bureau, January 5. Accessed August 12, 2022. https://www.census.gov/library/stories/2022/01/nations-teachers-more-diverse-but-still-lag-racial-ethnic-makeup-of-students.html.]. The discrepancy that exists in racial or ethnic diversity between teachers and students has been termed a cultural gap [Muschell, L. H., and H. M. Roberts. 2011. “Bridging the Cultural Gap: One Teacher Education Program’s Response to Preparing Culturally Responsive Teachers.” Childhood Education 87 (5): 337–340. https://doi.org/10.1080/00094056.2011.10523209]. The value proposition for a teacher workforce that mirrors society is hard to dispute. In the broadest sense, members of the education sector must coordinate efforts to recruit and retain culturally diverse teachers. While these efforts are critical, progress will likely be carried out over a longer period of time. Thus, adequately preparing current and future teachers to bridge the cultural gap is essential. Purpose: Intercultural competence (ICC) is an increasingly relevant topic for teacher preparation programs. To date, there remains a relative dearth of research on strategies that physical education teacher education (PETE) programs can use to promote ICC among teacher candidates (TCs). This study aimed to explore a yearlong curriculum strand’s impact on promoting ICC development in TCs. Methods: A mixed methods research design involving quantitative and qualitative data collection was employed. The quantitative measure was the Intercultural Development Inventory®. Qualitative measures consisted of journal entries and semi-structured interviews. Datasets were then merged to generate mixed-data narratives. Participants included 29 TCs enrolled at a mid-Atlantic University. Findings: Analyses revealed that the curriculum strand did not promote significant change in teacher candidates’ ICC levels quantitatively. Researchers used the constant comparison method to interpret the mixed data narratives. Analyses of the mixed data narratives revealed four emergent themes: (a) experience with cultural diversity; (b) confidence to teach culturally diverse students; (c) making sense of ICC; and (d) reflection on action. Conclusions: Participant data suggests that ICC is a topic that TCs value but may be lacking in their practical, applied understanding of working across cultural differences. Implications and future research on promoting ICC among physical education TCs are discussed. To our knowledge, this study will be the first application of the IDI® to explore change following physical education TCs’ participation in a yearlong curriculum strand focused on promoting ICC.

Genomic prediction for potato (Solanum tuberosum) quality traits improved through image analysis.

Potato (Solanum tuberosum L.) is the most widely grown vegetable in the world. Consumers and processors evaluate potatoes based on quality traits such as shape and skin color, making these traits important targets for breeders. Achieving and evaluating genetic gain is facilitated by precise and accurate trait measures. Historically, quality traits have been measured using visual rating scales, which are subject to human error and necessarily lump individuals with distinct characteristics into categories. Image analysis offers a method of generating quantitative measures of quality traits. In this study, we use TubAR, an image-analysis R package, to generate quantitative measures of shape and skin color traits for use in genomic prediction. We developed and compared different genomic models based on additive and additive plus non-additive relationship matrices for two aspects of skin color, redness, and lightness, and two aspects of shape, roundness, and length-to-width ratio for fresh market red and yellow potatoes grown in Minnesota between 2020 and 2022. Similarly, we used the much larger chipping potato population grown during the same time to develop a multi-trait selection index including roundness, specific gravity, and yield. Traits ranged in heritability with shape traits falling between 0.23 and 0.85, and color traits falling between 0.34 and 0.91. Genetic effects were primarily additive with color traits showing the strongest effect (0.47), while shape traits varied based on market class. Modeling non-additive effects did not significantly improve prediction models for quality traits. The combination of image analysis and genomic prediction presents a promising avenue for improving potato quality traits.

Meta-analysis of oral microbiome reveals sex-based diversity in biofilms during periodontitis.

Sex is an often overlooked, yet compulsory, biological variable when performing biomedical research. Periodontitis is a common yet progressively debilitating chronic inflammatory disorder affecting the tissues supporting teeth that ultimately leads to tooth loss if left untreated. The incidence of periodontitis is sex biased, with increased prevalence in males compared with females but with unknown etiology. We performed a sex-specific meta-analysis using publicly available oral microbiome data from different sampling sites of patients with periodontitis and periodontally healthy controls; sex balance was established for each periodontal health condition. Our results show sex-based diversity in oral biofilms of individuals with periodontitis but not in their saliva, with increased abundance of several periodontal pathogens in subgingival plaques from females compared with males. We devised a quantitative measure, uniquely defined as the Microsexome Index (MSI), which indicates that sexual dimorphism in subgingival bacterial composition is a distinct feature of reduced microbial diversity during periodontitis but not under healthy conditions. In addition, we found that smoking exacerbates microsexome diversity in supragingival biofilms, particularly during periodontitis. Taken together, we provide insights regarding sex-based diversity in periodontitis, a disease with multiorgan associations, and provide the rationale for further mechanistic, diagnostic, and therapeutic studies.

Visual Analysis of Multi-outcome Causal Graphs.

We introduce a visual analysis method for multiple causal graphs with different outcome variables, namely, multi-outcome causal graphs. Multi-outcome causal graphs are important in healthcare for understanding multimorbidity and comorbidity. To support the visual analysis, we collaborated with medical experts to devise two comparative visualization techniques at different stages of the analysis process. First, a progressive visualization method is proposed for comparing multiple state-of-the-art causal discovery algorithms. The method can handle mixed-type datasets comprising both continuous and categorical variables and assist in the creation of a fine-tuned causal graph of a single outcome. Second, a comparative graph layout technique and specialized visual encodings are devised for the quick comparison of multiple causal graphs. In our visual analysis approach, analysts start by building individual causal graphs for each outcome variable, and then, multi-outcome causal graphs are generated and visualized with our comparative technique for analyzing differences and commonalities of these causal graphs. Evaluation includes quantitative measurements on benchmark datasets, a case study with a medical expert, and expert user studies with real-world health research data.

Defining the exit meta-analysis.

In recent decades, clinical research has seen significant advancements, both in the generation and synthesis of evidence through meta-analyses. Despite these methodological advancements, there is a growing concern about the accumulation of repetitive and redundant literature, potentially contributing to research waste. This highlights the necessity for a mechanism to determine when a meta-analysis has conclusively addressed a research question, signaling no further need for additional studies-a concept we term an "exit" meta-analysis. We introduced a convergence index, the Doi-Abdulmajeed Trial Stability (DAts) index, and a convergence plot to determine the exit status of a meta-analysis. The performance of DAts was examined through simulation and applied to two real-world meta-analyses. The DAts index and convergence plot demonstrate highly effective discriminative ability across varying study scenarios. This represents the first attempt to define an exit meta-analysis using a quantitative measurement of stability (as opposed to sufficiency) and its corresponding plot. The application to real-world scenarios further validated the utility of DAts and the convergence plot in identifying a conclusive (exit) meta-analyses. The new development of DAts and the convergence plot provide a promising tool for investigating the conclusiveness of meta-analyses. By identifying an exit status for meta-analysis, the scientific community may be equipped to make better-informed decisions on the continuation of research on a specific topic, thereby preventing research waste and focusing efforts on areas with unresolved questions.

Experimental study of contrast-enhanced ultrasound in the evaluation of random-pattern flap blood supply in the early postoperative stage in rats.

This study aims to investigate whether contrast-enhanced ultrasound (CEUS) could be used to reveal the status of blood supply of the superficial flap of rat model in the early postoperative stage. One viable and one ischemic random-pattern flap were prepared on the left and right back of the same rat respectively with a number of 40. CEUS examinations were applied within 12 h and 7 days postoperatively, and the quantitative measurements of microvascular blood volume (BV) of the base and the end of both flaps were expressed using acoustic intensity as a ratio to that of the healthy skin. Within 12 h post operation, there was a smaller BV value of the ischemic ends than that of both the ischemic bases and viable ends (p < 0.001), while no difference was indicated between ischemic bases and viable bases or between viable bases and viable ends. The same result was provided 7 days post operation. Microcirculation of superficial tissues such as random-pattern flaps in this rat model can be assessed quantitatively by CEUS. It could sensitively and accurately reveal the objective status of tissue perfusion in the early postoperative stage.

A randomized, placebo-controlled trial of purified anthocyanins on cognitive function in individuals at elevated risk for dementia: Analysis of inflammatory biomarkers toward personalized interventions

BackgroundDementia poses a significant global health challenge. Anthocyanins neutralize free radicals, modulate signaling pathways, inhibit pro-inflammatory genes, and suppress cytokine production and may thus have positive cognitive effects in people at increased risk of dementia. We aim to investigate the effects of purified anthocyanins on cognitive function in people at increased risk of dementia according to their inflammation status based on blood-based inflammatory biomarkers. MethodsThis is a secondary analysis of a 24-week randomized, double-blind, placebo-controlled trial. Cluster analysis was performed to categorize two groups based on their individual inflammatory biomarker profile using multiplex sandwich ELISA for the quantitative measurement of cytokines. Descriptive statistics and longitudinal models assessed cognitive outcomes. The primary comparison was the group difference at week 24 based on a modified intention-to-treat analysis. ResultsCluster analysis revealed two distinct inflammatory biomarker profiles. In Cluster 1 (high levels of inflammation biomarkers), anthocyanin treatment showed a statistically significant improvement on cognitive function compared to placebo at 24 weeks. No significant differences were observed in Cluster 2 (low levels of inflammation biomarkers). The demographic characteristics, cognitive scores, and biomarker distributions were similar between treatment groups at baseline. However, cluster 1 exhibited higher BMI, diabetes prevalence, medication usage, and lower HDL cholesterol levels. ConclusionIndividuals with elevated levels of inflammation markers benefited from anthocyanin treatment to enhance cognitive performance, whereas those with lower levels did not. The anti-inflammatory and antioxidant properties of anthocyanins make them a promising intervention, and future prospective trials in people with increased inflammation are warranted.

Towards more sustainable, nutritious, and affordable plant‐based milk alternatives: A critical review

AbstractThe consumer market has seen a surge in various types of plant‐based milk alternatives (PBMAs), driven by factors such as sustainability, ethics, and the availability of diverse options. However, the global adoption of PBMAs is still hindered by potential nutritional concerns and cost‐ineffectiveness. It is therefore paramount to understand the status and challenges of these alternatives, encompassing production, stabilization strategies, nutrition and health, digestion, and environmental impacts. This review provides a comprehensive examination of these aspects. We begin by scrutinizing the production processes and formulation strategies of PBMAs, followed by an exploration of fundamental stabilization aspects, including homogenization, emulsification, thickening, and quantitative measurements of stabilization. Additionally, we discuss their nutrition facts and potential health benefits, as well as potential differences in the digestion of nutrients from PBMAs. Importantly, their challenges and future directions are discussed individually, highlighting the need for a fundamental understanding and effective food technologies to develop sustainable, nutritious, tasty, and affordable PBMAs. For example, several critical aspects involve maximizing the use of plant materials (e.g., proteins, fibers, and bioactive compounds) and using reliable and unified life cycle analyses to guide the development. This review offers valuable insights for researchers, food technologists, and consumers seeking to navigate and develop the landscape of PBMAs effectively.