bluuebunny/crossref_metadata_2025 huggingface dataset:
Dopamine Receptors and TAAR1 Functional Interaction Patterns in the Duodenum Are Impaired in Gastrointestinal Disorders
Authors: Vaganova Anastasia N. , Markina Alisa A. , Belousov Aleksandr M. , Lenskaia Karina V. , Gainetdinov Raul R.
Published: July 2024

Currently, there is a growing amount of evidence for the involvement of dopamine receptors and the functionally related trace amine-associated receptor, TAAR1, in upper intestinal function. In the present study, we analyzed their expression in the duodenum using publicly accessible transcriptomic data. We revealed the expression of DRD1, DRD2, DRD4, DRD5, and TAAR1 genes in different available datasets. The results of the gene ontology (GO) enrichment analysis for DRD2 and especially TAAR1 co-expressed genes were consistent with the previously described localization of D2 and TAAR1 in enteric neurons and secretory cells, respectively. Considering that co-expressed genes are more likely to be involved in the same biological processes, we analyzed genes that are co-expressed with TAAR1, DRD2, DRD4, and DRD5 genes in healthy mucosa and duodenal samples from patients with functional dyspepsia (FD) or diabetes-associated gastrointestinal symptoms. Both pathological conditions showed a deregulation of co-expression patterns, with a high discrepancy between DRDs and TAAR1 co-expressed gene sets in normal tissues and patients’ samples and a loss of these genes’ functional similarity. Meanwhile, we discovered specific changes in co-expression patterns that may suggest the involvement of TAAR1 and D5 receptors in pathologic or compensatory processes in FD or diabetes accordingly. Despite our findings suggesting the possible role of TAAR1 and dopamine receptors in functional diseases of the upper intestine, underlying mechanisms need experimental exploration and validation.
Enhanced Point-of-Care SARS-CoV-2 Detection: Integrating RT-LAMP with Microscanning
Authors: Choi Minkyeong , Lee Eunji , Park Seoyeon , Lim Chae-Seung , Jang Woong-Sik
Published: July 2024

The COVID-19 pandemic has highlighted the urgent need for rapid and accurate diagnostic methods for various infectious diseases, including SARS-CoV-2. Traditional RT-PCR methods, while highly sensitive and specific, require complex equipment and skilled personnel. In response, we developed an integrated RT-LAMP-MS assay, which combines rapid reverse transcription loop-mediated isothermal amplification (RT-LAMP) with microscanning (MS) technology for detecting SARS-CoV-2. The assay uses magnesium pyrophosphate formed during LAMP amplification as a visual marker, allowing direct observation via microscopy without the need for additional chemical indicators or probes. For the SARS-CoV-2/IC RT-LAMP-MS assay, the sample-LAMP reagent mixture was added to a microchip with SARS-CoV-2 primers and internal controls, then incubated at 62 °C for 30 min in a heat block, followed by amplification analysis using a microscanner. In clinical tests, the RT-LAMP-MS assay showed 99% sensitivity and 100% specificity, which is identical to the RT-LAMP results and comparable to the commercial AllplexTM SARS-CoV-2 assay results. Additionally, the limit of detection (LOD) was determined to be 10−1 PFU mL−1 (dynamic range: 103~10−1 PFU mL−1). The assay delivers results in 30 min, uses low-cost equipment, and demonstrates 100% reproducibility in repeated tests, making it suitable for point-of-care use in resource-limited settings.
Metacognitive Interpersonal Therapy for Misophonia: A Single-Case Study
Authors: Natalini Eleonora , Fioretti Alessandra , Eibenstein Rebecca , Eibenstein Alberto
Published: July 2024

Background: Misophonia is a chronic condition in which the exposure to specific sounds increases the arousal and recurrence of specific intense negative emotions. We hypothesized that misophonia may be strongly related to maladaptive interpersonal schemas that create difficulties in interpersonal relationships. Subjects with maladaptive interpersonal schemas think that other people try to subjugate, criticize, dominate, exploit, deceive, disregard, and humiliate them. Furthermore, these patients typically endorse a representation of self as mistreated, constricted, harmed, damaged, humiliated, impotent, inadequate, or fragile. Methods: We describe the course of a treatment of Metacognitive Interpersonal Therapy (MIT) in a young man presenting misophonia and co-occurrent obsessive–compulsive personality disorder (OCPD) and avoidant personality disorder (AvPD), with narcissistic traits and normal hearing. We collected qualitative and quantitative data at the beginning of the intervention and at 2 years follow-up. Results: The therapy aimed at increasing awareness of maladaptive interpersonal schemas and promoting a healthy self. The results reported a significant decrease in misophonia; behavioural experiments were used to increase the quality of social relationships and tolerance to the trigger sounds. Conclusions: MIT can be an effective therapy for the treatment of misophonia.
Relevance and Premises of Values-Based Practice for Decision Making in Brain Health
Authors: Alexopoulos Panagiotis , Leroi Iracema , Kinchin Irina , Canty Alison J. , Dasgupta Jayashree , Furlano Joyla A. , Haas Aline Nogueira
Published: July 2024

Brain health is a complex concept, shaped by a plethora of determinants related to physical health, healthy environments, safety and security, learning and social connection, as well as access to quality healthcare services. Decision-making in this complex field is characterized by diverse values, potentially conflicting interests, and asymmetrically influential stakeholders. Values-based practice (VBP) is a toolkit for balancing values in a democratic and inclusive way, so that every stakeholder feels a sense of ownership over the decision made. In VBP, the emphasis is on good process rather than on pre-determined ‘correct’ outcomes. Based on two case vignettes, we highlight the relevance of the ten principles of VBP for balancing different values to the satisfaction of those directly concerned, in a given decision-making process. In addition, we argue that the successful implementation of VBP in the complex area of brain health, as well as in other fields, is premised on higher order values (meta-values), beyond mutual respect and the legal, regulatory, and bioethical framework. These include mutual regard, reciprocity, autonomy, and an egalitarian attitude towards VBP procedures and involved stakeholders.
Unraveling the Link between Perceived ESG and Psychological Well-Being: The Moderated Mediating Roles of Job Meaningfulness and Pay Satisfaction
Authors: Choi Woo-Sung , Wang Wenxian , Kim Hee Jin , Lee Jiman , Kang Seung-Wan
Published: July 2024

Enhancing corporate accountability in areas such as environment, social, and governance (ESG) has solidified its role in the discussion on improving corporate resilience and growth. ESG management activities not only augment corporate sustainability and risk control but also influence the professional roles and personal lives of members through their perceived ESG. Historically, most ESG research has centered on the interrelation of corporate ESG endeavors and outcomes, while studies focusing on the influence of perceived ESG on members have been sparse. In this light, our investigation, rooted in the conservation of resources theory, aimed to delineate the mechanistic link between perceived ESG and members’ psychological well-being. This study employed a stratified random sampling technique and collected data across three waves, each spaced four weeks apart. Our sample comprised 325 Korean employees working in administrative, technical, service, and sales roles. This study recruited 325 Korean employees across three time-lagged phases and found that ESG comprehension enhances job meaningfulness, subsequently amplifying psychological wellness. Intriguingly, as pay satisfaction escalates, the mediating role of job meaningfulness between perceived ESG and well-being intensifies. Our study underscores that for organizations to harness perceived ESG to boost psychological well-being via job meaningfulness, managing pay satisfaction is imperative. These findings highlight a crucial policy implication: policymakers must actively promote ESG awareness and incorporate it into employee compensation strategies. This integration is essential to cultivating a healthier, more engaged workforce and driving long-term organizational success.
Intergenerational Synchrony and Its Effect on Bonding and Group Closeness among Young and Older Adults
Authors: Suberry Assaf , Bodner Ehud
Published: July 2024

To examine the effect of synchronous dance movements on social bonding and perceived closeness between generations, 168 young (20–45 years) and older (65–90 years) participants were randomly assigned to six dyad conditions. These included dancing synchronously or asynchronously with an in-age-group or out-age-group unfamiliar partner for 11 min. The participants then completed social bonding and group closeness questionnaires. To assess variation across individuals’ and dyads’ measurements, a generalized estimating equation modeling analysis was conducted. In line with the hypotheses, synchronized dancing increased social bonding, and young adults showed an enhanced perception of closeness between generations. The hypothesis that synchronous dancing with out-age-group members would foster greater perceived closeness compared to in-age-group members was not confirmed. Surprisingly, the results indicated that asynchronous movements with the in-age-group led to a higher degree of closeness between generations than asynchronous movements with the out-age-group. Avenues for future studies on the mechanisms by which intergenerational dance fosters intergenerational bonding and closeness are discussed.
Genetic Deficiencies of Hyaluronan Degradation
Authors: Fink Stephen P. , Triggs-Raine Barbara
Published: July 2024

Hyaluronan (HA) is a large polysaccharide that is broadly distributed and highly abundant in the soft connective tissues and embryos of vertebrates. The constitutive turnover of HA is very high, estimated at 5 g per day in an average (70 kg) adult human, but HA turnover must also be tightly regulated in some processes. Six genes encoding homologues to bee venom hyaluronidase (HYAL1, HYAL2, HYAL3, HYAL4, HYAL6P/HYALP1, SPAM1/PH20), as well as genes encoding two unrelated G8-domain-containing proteins demonstrated to be involved in HA degradation (CEMIP/KIAA1199, CEMIP2/TMEM2), have been identified in humans. Of these, only deficiencies in HYAL1, HYAL2, HYAL3 and CEMIP have been identified as the cause or putative cause of human genetic disorders. The phenotypes of these disorders have been vital in determining the biological roles of these enzymes but there is much that is still not understood. Deficiencies in these HA-degrading proteins have been created in mice and/or other model organisms where phenotypes could be analyzed and probed to expand our understanding of HA degradation and function. This review will describe what has been found in human and animal models of hyaluronidase deficiency and discuss how this has advanced our understanding of HA’s role in health and disease.
Plasmonic Optical Fiber Sensors and Molecularly Imprinted Polymers for Glyphosate Detection at an Ultra-Wide Range
Authors: Renzullo Luca Pasquale , Tavoletta Ines , Alberti Giancarla , Zeni Luigi , Pesavento Maria , Cennamo Nunzio
Published: July 2024

In this study, a surface plasmon resonance (SPR) sensor based on modified plastic optical fibers (POFs) was combined with a specific molecularly imprinted polymer (MIP), used as a synthetic receptor, for glyphosate (GLY) determination in aqueous solutions. Since GLY is a non-selective herbicide associated with severe environmental and health problems, detecting glyphosate in environmental and biological samples remains challenging. The selective interaction between the MIP layer and GLY is monitored by exploiting the SPR phenomenon at the POF’s gold surface. Experimental results show that in about ten minutes and by dropping microliter volume samples, the presented optical–chemical sensor can quantify up to three orders of magnitude of GLY concentrations, from nanomolar to micromolar, due to a thin MIP layer over the SPR surface. The developed optical–chemical sensor presents a detection limit of about 1 nM and can be used for onsite GLY measurements. Moreover, the experimental analysis demonstrated the high selectivity of the proposed POF-based chemical sensor.
Prevalence of Leishmaniasis among Blood Donors: A Systematic Review and Meta-Analysis
Authors: Kantzanou Maria , Kostares Evangelos , Kostare Georgia , Papagiannopoulou Evangelia , Kostares Michael , Tsakris Athanasios
Published: July 2024

Our study seeks to provide a comprehensive assessment of leishmaniasis prevalence among blood donors, employing rigorous methodologies to inform public health initiatives and transfusion safety measures. A thorough literature search was conducted using electronic databases (Medline, Scopus, Web of Science, and Google Scholar) to identify the relevant studies reporting the prevalence of leishmaniasis among blood donors, gathering a wide range of studies encompassing different geographic locations and time periods. The pooled prevalence with a 95% confidence interval (CI) was estimated, and quality assessment, outlier analysis, and influential analysis were performed to ensure the robustness and validity of the findings. Our search and subsequent analyses led to the inclusion of thirty-five studies in our review. Using molecular diagnostic methods, the prevalence was estimated at 2.3% (95% CI 1–3.9%), while serological diagnostic methods indicated a higher prevalence rate of 4.5% (95% CI 2.8–6.7%). Notably, we observed significant heterogeneity among the included studies for each analysis. The observed heterogeneity highlights the need for future research to delve into the factors influencing leishmaniasis prevalence, with prospective and retrospective studies addressing the limitations identified in this review.
Real-Time Registration of Unmanned Aerial Vehicle Hyperspectral Remote Sensing Images Using an Acousto-Optic Tunable Filter Spectrometer
Authors: Liu Hong , Hu Bingliang , Hou Xingsong , Yu Tao , Zhang Zhoufeng , Liu Xiao , Liu Jiacheng , Wang Xueji
Published: July 2024

Differences in field of view may occur during unmanned aerial remote sensing imaging applications with acousto-optic tunable filter (AOTF) spectral imagers using zoom lenses. These differences may stem from image size deformation caused by the zoom lens, image drift caused by AOTF wavelength switching, and drone platform jitter. However, they can be addressed using hyperspectral image registration. This article proposes a new coarse-to-fine remote sensing image registration framework based on feature and optical flow theory, comparing its performance with that of existing registration algorithms using the same dataset. The proposed method increases the structure similarity index by 5.2 times, reduces the root mean square error by 3.1 times, and increases the mutual information by 1.9 times. To meet the real-time processing requirements of the AOTF spectrometer in remote sensing, a development environment using VS2023+CUDA+OPENCV was established to improve the demons registration algorithm. The registration algorithm for the central processing unit+graphics processing unit (CPU+GPU) achieved an acceleration ratio of ~30 times compared to that of a CPU alone. Finally, the real-time registration effect of spectral data during flight was verified. The proposed method demonstrates that AOTF hyperspectral imagers can be used in real-time remote sensing applications on unmanned aerial vehicles.
The Holographic Principle Comes from Finiteness of the Universe’s Geometry
Authors: Bolotin Arkady
Published: July 2024

Discovered as an apparent pattern, a universal relation between geometry and information called the holographic principle has yet to be explained. This relation is unfolded in the present paper. As it is demonstrated there, the origin of the holographic principle lies in the fact that a geometry of physical space has only a finite number of points. Furthermore, it is shown that the puzzlement of the holographic principle can be explained by a magnification of grid cells used to discretize geometrical magnitudes such as areas and volumes into sets of points. To wit, when grid cells of the Planck scale are projected from the surface of the observable universe into its interior, they become enlarged. For that reason, the space inside the observable universe is described by the set of points whose cardinality is equal to the number of points that constitute the universe’s surface.
Student Translations of the Symbolic Level of Chemistry
Authors: Akesson-Nilsson Gunilla , Adbo Karina
Published: July 2024

The aim of the study was to explore students’ own translation of the symbolic level of a chemical reaction, including the information provided with the use of coefficients, indices, and signs, as well as the preservation of atoms. Students were asked to translate the symbolic level of the combustion of methane with the use of clay modelling. The students had to make active choices regarding the size, shape, two- or three-dimensional structure, and the number of atoms in the molecules included in the reaction using modelling clay. The analysis followed the three levels of analysis as presented by Hedegaard. The results highlight the variations in students’ answers and show the importance of investigating unrestricted translations of the symbolic level of chemistry. Including clay modelling in the educational process is helpful for both educators and students, as it fosters comprehension of underlying processes and enhances awareness of substance structure and atom redistribution across various substances.
‘No One Is Left Behind?’: A Mixed-Methods Case Study of Equity and Inclusion in Physical Education Teacher Education
Authors: Pereira Ribeiro Eugénio Paiva , Ribeiro Mesquita Isabel Maria , Guerreiro Farias Cláudio Filipe
Published: July 2024

Equity and inclusion are requisites of high-quality Physical Education (PE). However, there is a substantial gap in understanding PE Teacher Education’s (PETE) effectiveness in preparing Preservice Teachers (PSTs) to implement equity-driven pedagogies. Moreover, focused on individual retrospective gameplay engagement rates (participation time), current research fails to provide a holistic perspective of the practical manifestations of equity and inclusion in PE. This study fills this void with novel insights offered by a mixed-methods case study examining the following: (i) the process-oriented teaching strategies employed by a PST trained to deliver inclusive pedagogies, alongside student voices on lived experiences; and (ii) the outcome-oriented gameplay patterns across two teaching units (Basketball and Volleyball). Participants included one PST and 26 students. Extensive observations and focus groups mapped the applied teaching strategies and student responses. Video-based social network analysis captured equity and inclusion in students’ gameplay patterns, using metrics such as degree prestige. Findings indicate the PETE impact in inducing PSTs’ inclusive manipulation of learning activities and the fostering of inclusive team membership and positive collaboration. SNA metrics evidenced equitable and inclusive gameplay patterns. Despite pedagogical efforts, content-specific factors may influence students’ gameplay inclusion. Hence, a reflection on the multifaceted and non-linear nature of promoting inclusive participation is prompted.
Sparking Intentional and Antiracist Pedagogy: A Narrative Analysis of COVID-Era Interviews with Public Health Faculty
Authors: Tsui Emma K. , Cooper Spring , Jardine Shari J. , Dearolf Michelle , Whang Christine , Quiroz Ivonne , Elsayed Ayah
Published: July 2024

The COVID-19 pandemic and the racial justice uprisings of 2020–2022 created an altered and challenging landscape for teaching public health. Challenging and direct experiences with these public health issues and their reverberations shaped how some faculty and many students participated in both online and in-person classrooms. In this project, we conducted a narrative analysis of oral history interviews with eight faculty members at a public university in New York City to understand how they reacted to these events and reconsidered their public health teaching during this period. We map what propelled faculty along paths of change and where these paths led. We learn that participating faculty shifted in varied ways toward more intentional and sometimes more antiracist teaching practices. Two experiences were foundational to these shifts: (1) faculty attunement to student realities during this time, and (2) faculty reflection on their own social positionings (i.e., race, gender identity, sexual orientation, class, age, immigration status, etc.) and their development of critical consciousness. These findings provide insights into how faculty conceptualize, support, and change their teaching approaches during periods of upheaval, particularly in the context of limited institutional support for faculty development. Finally, we discuss key issues for institutions seeking to formalize and enhance shifts like those described.
Effects of a Teacher-Led Intervention Fostering Self-Regulated Learning and Reading among 5th and 6th Graders—Treatment Integrity Matters
Authors: Schuler Nadine , Villiger Caroline , Krauß Evelyn
Published: July 2024

Self-regulated learning (SRL) is a crucial competence in our rapidly changing society, yet its systematic promotion in the classroom remains limited. Addressing this gap, this study reports on a teacher-led intervention to promote SRL within reading tasks among 5th and 6th grade students. Although some interventions have been implemented to promote SRL, little attention has been paid to promoting SRL in primary schools. Building on a previous SRL intervention, the current study added cooperative learning among students and parental involvement, two aspects that are assumed to add value when fostering SRL. A randomized controlled field trial was designed to evaluate the effect of an intervention using pre-test, post-test and follow-up measures. A total of 757 students from 40 classes participated in the study. The data were analyzed using a multilevel approach. This study revealed no significant difference in SRL or reading comprehension outcomes in the post-test and the follow-up test between students of the experimental and control group. Further investigations showed that several aspects of treatment integrity had a significant impact on SRL outcome. This study encourages future SRL and reading intervention studies to assess and analyze the multiple aspects of treatment integrity.
Comparison of Dual VET Models in Spain: Analysing Educational Quality from the Perspective of Educational Centres
Authors: Fernández-Salinero Carolina , Rodríguez-Pérez Sara , Carrasco-Temiño María Aránzazu , Fernández-Sequi Héctor
Published: July 2024

In Spain, dual vocational training has recently become a fundamental pillar to train the working population. This article focuses on two objectives: to evaluate the quality of two models of dual VET in Spain and to identify their differences in terms of the following dimensions: Teaching Team, Process, Evaluation and Synergies. To achieve these objectives, a quantitative methodology and a cross-sectional design were used to collect data using an ad hoc questionnaire (37 items) developed based on a literature review and the 14 European quality criteria. The sample consisted of 263 educational institutions. Regarding the results for the first objective, Model B implemented EQAVET with higher quality. With regards to the second, researchers observed that all dimensions received a high or very high compliance of 70%. However, discrepancies were primarily found in the training of tutors in training centres, quality certification of dual VET and links, and support and cooperation between training centres and companies. This study provides empirical evidence regarding the factors that lead to higher quality dual VET in schools, based on the manner in which the criteria of the European Framework for Quality and Effective Vocational Education and Training (EQAVET) are implemented.
STEM Teachers’ Motivation and Engagement in Teacher Professional Development and Career Advancement: A Case Study of Lithuania
Authors: Juškevičienė Anita , Jevsikova Tatjana , Stupurienė Gabrielė , Vinikienė Lina
Published: July 2024

The demand for science, technology, engineering, and mathematics (STEM) skills has been consistently increasing due to technological advancements and globalization, making STEM education and teacher training a critical priority. Although many national and international initiatives have been implemented to strengthen STEM education and raise the attractiveness of the teaching profession, a shortage of teachers in general, and STEM teachers in particular, is still evident across Europe. This study aimed to identify factors contributing to attracting existing and potential teachers to careers in STEM education. Qualitative research methods were employed to study teachers’ perceived motivation, challenges, and suggestions regarding STEM teachers’ careers, competence, and collaboration development. The study revealed that the practical application of competence development initiatives significantly motivates STEM teachers, emphasizing the importance of aligning professional development with classroom implementation. These results emphasize the importance of prioritizing practical, classroom-oriented professional development and fostering a culture of collaboration in educational institutions.
A High-Precision Human Fall Detection Model Based on FasterNet and Deformable Convolution
Authors: Zheng Xiuxiu , Cao Jianzhao , Wang Changtao , Ma Pengyuan
Published: July 2024

To address the challenges of low accuracy and suboptimal real-time performance in fall detection, caused by lighting variations, occlusions, and complex human poses, a novel fall detection algorithm, FDT-YOLO, has been developed. This algorithm builds upon an improved YOLOv8 framework, featuring significant modifications for improved performance. The C2f module in the backbone network has been replaced with the FasterNet module. This substitution enhances feature reuse effectively and reduces computational complexity. Additionally, a deformable convolution module has been added to the neck section. This helps to decrease missed and false detections significantly, which are often caused by dramatic changes in fall poses. Furthermore, the triplet attention mechanism has been incorporated during multi-scale fusion. This mechanism effectively suppresses background interference, focusing more on the target area, thereby improving detection accuracy and robustness. Experimental results have demonstrated that improvements in FDT-YOLO lead to notable enhancements. The mean Average Precision (mAP) at an Intersection over Union (IoU) threshold of 0.5 has been increased from 94.9% to 96.2%. The mAP for the range of 0.5 to 0.95 has been raised from 84.2% to 85.9%. Additionally, the parameter count has been reduced to 9.9 million, which not only enhances detection accuracy but also significantly reduces the rate of false detections.
Prediction of Sunspot Number with Hybrid Model Based on 1D-CNN, BiLSTM and Multi-Head Attention Mechanism
Authors: Chen Huirong , Liu Song , Yang Ximing , Zhang Xinggang , Yang Jianzhong , Fan Shaofen
Published: July 2024

Sunspots have a significant impact on human activities. In this study, we aimed to improve solar activity prediction accuracy. To predict the sunspot number based on different aspects, such as extracted features and relationships among data, we developed a hybrid model that includes a one-dimensional convolutional neural network (1D-CNN) for extracting the features of sunspots and bidirectional long short-term memory (BiLSTM) embedded with a multi-head attention mechanism (MHAM) to learn the inner relationships among data and finally predict the sunspot number. We evaluated our model and several existing models according to different evaluation indicators, such as mean absolute error (MAE) and root mean square error (RMSE). Compared with the informer, stacked LSTM, XGBoost-DL, and EMD-LSTM-AM models, the RMSE and MAE of our results were more than 42.5% and 65.1% lower, respectively. The experimental results demonstrate that our model has higher accuracy than other methods.
Fractional-Order Interval Parameter State Space Model of the One-Dimensional Heat Transfer Process
Authors: Oprzędkiewicz Krzysztof
Published: July 2024

In this paper, the new non-integer-order state space model of heat processes in a one-dimensional metallic rod is addressed. The fractional orders of derivatives along space and time are not exactly known, and they are described by intervals. The proposed model is the interval expanding of the state space fractional model of heat conduction and dissipation in a one-dimensional metallic rod. It is expected to better describe reality because the interval order of each real process is difficult to estimate. Using intervals enables describing the uncertainty. The presented interval model can be applied to the modeling of many real thermal processes in the industry and building. For example, it can describe the thermal conductivity of building walls. The one-dimensional approach can be applied because only the direction from inside to outside is important, and the heat distribution along the remaining directions is uniform. The paper describes the basic properties of the proposed model and supports the theory via simulations in MATLAB R2020b and experiments executed with the use of a real experimental laboratory system equipped with miniature temperature sensors and supervised by PLC and SCADA systems. The main results from the paper point out that the uncertainty of both fractional orders impacts the crucial properties of the model. The uncertainty of the derivative along the time affects only the dynamics, but the disturbance of the derivative along the length disturbs both the static and dynamic properties of the model.
Design and Manufacturing Challenges in PEMFC Flow Fields—A Review
Authors: Pedapati Prithvi Raj , Dhanushkodi Shankar Raman , Chidambaram Ramesh Kumar , Taler Dawid , Sobota Tomasz , Taler Jan
Published: July 2024

Proton exchange membrane fuel cells are a prime choice for substitute electricity producers. Membrane electrode assembly (MEA), bipolar electrodes, and current collectors belong to only a limited number of primary parts of the proton exchange membrane fuel cell (PEMFC). Bipolar plates are among the most famous elements in the fuel cell; they are responsible for the electrochemical reaction, as well as the flow of gases from one bipolar plate to another. A bipolar plate is to be a good electro-conducting, non-corrosive, and a high mechanical strength product. The attainability of the specification is achieved by graphite and metallic materials, each one having its own merits and demerits that are discussed in this article. Likewise, making the second pass for the flow pattern is equally important for the cell to have good performance and efficiency. The emergence of innovative and new bipolar plate designs has caused the achievement of high performance of these plates. The present review article principally focuses on the experimental study of diverse flow fields in the design of PEMFC and on the influence of various geometrical properties on the general operation of fuel cells made of PEMFC, and also on the manufacturing procedure utilized for building contemporary fuel cells.
A Hybrid Beat Frequency Oscillation Suppression Strategy for DC Microgrids
Authors: Xu Haoge , Lin Zhengyu
Published: July 2024

In DC microgrids, parallel-connected power converters are commonly used to integrate distributed energy sources. However, interactions of power switching noises among these power converters could lead to large low-frequency beat frequency oscillations under certain conditions, which degrades system performance and reliability, especially for DC microgrids with parallel connected Boost converters. In this research, the output impedance model for multiple parallel-connected Boost converters is developed for beat frequency oscillation analysis, and then a hybrid method is proposed to address this issue. The proposed method includes separated switching frequency channels and additional line inductors. Experimental results validate the effectiveness of the proposed method.
The Evolutionary Path and Emerging Trends of Circulating Fluidized Bed Technology: An Integrated Analysis through Bibliometric Assessment and Data Visualization
Authors: Chen Qimei , Gou Yurong , Wang Tangrong , Liu Pengbo , Zhu Jianguo
Published: July 2024

Confronted with the significant challenges of global climate change and environmental deterioration, the pursuit of carbon emission peaks and the realization of carbon neutrality have become a collective goal for countries worldwide. As an exemplary combustion technology noted for its efficiency and environmental friendliness, the circulating fluidized bed (CFB) is instrumental in curbing the release of carbon dioxide alongside other deleterious gases. The technology is pivotal in promoting the clean and efficient use of coal, simultaneously expediting the global shift towards a sustainable, green, and low-carbon future. This study employs a bibliometric analysis, a social network analysis, and information visualization techniques to delve into the evolution of CFB technology, leveraging the Web of Science database (SCI-EXPANDED and CPCI-S) and the Derwent Innovations Index (DII). Through a meticulous examination of academic papers and patent literature related to CFB technology, this research unveils the developmental trajectory and trends of CFB technology, providing a scientific foundation and reference for strategic technology planning and focused research in key areas. The findings indicate that, while there is a downward trend in the global publication of academic papers on CFB technology, the number of patent applications continues to grow steadily. CFB technology has achieved significant advancements in enhancing combustion efficiency, environmental protection, energy utilization, and waste management, and is progressing towards a direction of diversification and greater efficiency. Moving forward, the development of CFB technology should concentrate on pivotal areas such as material science, fluid dynamics simulation, environmental impact assessment, system integration, and intelligentization, to foster ongoing innovation and a broad application of the technology.
Multi-Site Wind Speed Prediction Based on Graph Embedding and Cyclic Graph Isomorphism Network (GIN-GRU)
Authors: Wu Hongshun , Chen Hui
Published: July 2024

Accurate and reliable wind speed prediction is conducive to improving the power generation efficiency of electrical systems. Due to the lack of adequate consideration of spatial feature extraction, the existing wind speed prediction models have certain limitations in capturing the rich neighborhood information of multiple sites. To address the previously mentioned constraints, our study introduces a graph isomorphism-based gated recurrent unit (GIN-GRU). Initially, the model utilizes a hybrid mechanism of random forest and principal component analysis (PCA-RF) to discuss the feature data from different sites. This process not only preserves the primary features but also extracts critical information by performing dimensionality reduction on the residual features. Subsequently, the model constructs graph networks by integrating graph embedding techniques with the Mahalanobis distance metric to synthesize the correlation information among features from multiple sites. This approach effectively consolidates the interrelated feature data and captures the complex interactions across multiple sites. Ultimately, the graph isomorphism network (GIN) delves into the intrinsic relationships within the graph networks and the gated recurrent unit (GRU) integrates these relationships with temporal correlations to address the challenges of wind speed prediction effectively. The experiments conducted on wind farm datasets for offshore California in 2019 have demonstrated that the proposed model has higher prediction accuracy compared to the comparative model such as CNN-LSTM and GAT-LSTM. Specifically, by modifying the network layers, we achieved higher precision, with the mean square error (MSE) and root mean square error (RMSE) of wind speed at a height of 10 m being 0.8457 m/s and 0.9196 m/s, respectively.
Recent Advances in Non-Contact Food Decontamination Technologies for Removing Mycotoxins and Fungal Contaminants
Authors: Wang Yan , Zhou Aiyun , Yu Bei , Sun Xiulan
Published: July 2024

Agricultural food commodities are highly susceptible to contamination by fungi and mycotoxins, which cause great economic losses and threaten public health. New technologies such as gamma ray irradiation, ultraviolet radiation, electron beam irradiation, microwave irradiation, pulsed light, pulsed electric fields, plasma, ozone, etc. can solve the problem of fungal and mycotoxin contamination which cannot be effectively solved by traditional food processing methods. This paper summarizes recent advancements in emerging food decontamination technologies used to control various fungi and their associated toxin contamination in food. It discusses the problems and challenges faced by the various methods currently used to control mycotoxins, looks forward to the new trends in the development of mycotoxin degradation methods in the future food industry, and proposes new research directions.
Survival of Salmonella spp., Escherichia coli O157:H7, and Listeria monocytogenes in Ready-to-Eat “Guacamole”: Role of Added Antimicrobials
Authors: Al Daour Rameez , Osaili Tareq M. , Semerjian Lucy , Dhanasekaran Dinesh Kumar , Ismail Leila Cheikh , Savvaidis Ioannis N.
Published: July 2024

Ensuring the microbiological safety of food products is majorly important to regulatory agencies, producers, and consumers. This study aimed to examine the effects of three different antimicrobial agents, including chitosan (CH), mastic oil (M), and citric acid (CA), individually or as a combination, against Salmonella spp., Escherichia coli O157:H7, and Listeria monocytogenes (artificially inoculated) in Guacamole, a ready-to-eat (RTE) avocado-based salad. The Guacamole samples included untreated samples, designated as CNL, and samples treated as follows: CA 0.15% and CA 0.30% with citric acid added at 0.15% and 0.30% v/w; CH 0.5% and CH 1% with chitosan at 0.5 and 1% v/w; M 0.2% and M 0.4% with mastic essential oil (EO) at 0.2% and 0.4% v/w; CACH with CA 0.30% and CH 1% v/w; CAM with CA 0.30% and M 0.4% v/w; CHM with CH 1% and M 0.4% v/w; and CACHM with CA 0.30%, CH 1%, and M 0.4% v/w. Microbiological evaluation, monitoring of the pH values, and proximate analyses (moisture, fat, protein, ash, and water activity) were performed at different time intervals (days 0, 1, 3, 5, and 7) at two storage temperatures (4 and 10 °C). Antimicrobial treatments, particularly CH 1% and CACHM, effectively (p < 0.05) reduced Salmonella spp. and E. coli O157:H7 populations at 4 °C, while CACHM showed the most efficacy against L. monocytogenes. However, at 10 °C, antimicrobials had limited impact, and the bacterial counts exhibited an increasing trend during storage. The pH values in the avocado-based salad samples showed, in general, higher decreases at 10 compared to 4 °C, with the CHM combination showing the highest antimicrobial effect.
Influence of Gelatin on Adhesion, Proliferation, and Adipogenic Differentiation of Adipose Tissue-Derived Stem Cells Cultured on Soy Protein–Agarose Scaffolds
Authors: Hong Seong-Joon , Kim Do-Hyun , Ryoo Ji-Hwan , Park Su-Min , Kwon Hyuk-Cheol , Keum Dong-Hyun , Shin Dong-Min , Han Sung-Gu
Published: July 2024

Scaffolds play a key role in cultured meat production by providing an optimal environment for efficient cell attachment, growth, and development. This study investigated the effects of gelatin coating on the adhesion, proliferation, and adipogenic differentiation of adipose tissue-derived stem cells (ADSCs) cultured on soy protein–agarose scaffolds. Gelatin-coated scaffolds were prepared using 0.5% and 1.0% (w/v) gelatin solutions. The microstructure, water absorption rate, mechanical strength, cytotoxicity, cell adhesion, proliferation, and differentiation capabilities of the scaffolds were analyzed. Field emission scanning electron microscopy revealed the porous microstructure of the scaffolds, which was suitable for cell growth. Gelatin-coated scaffolds exhibited a significantly higher water absorption rate than that of non-coated scaffolds, indicating increased hydrophilicity. In addition, gelatin coating increased the mechanical strength of the scaffolds. Gelatin coating did not show cytotoxicity but significantly enhanced cell adhesion and proliferation. The gene expression levels of peroxisome proliferator-activated receptor gamma, CCAT/enhancer-binding protein alpha, and fatty acid-binding protein 4 were upregulated, and lipid accumulation was increased by gelatin coating. These findings suggest that gelatin-coated scaffolds provide a supportive microenvironment for ADSC growth and differentiation, highlighting their potential as a strategy for the improvement of cultured meat production and adipose tissue engineering.
Expression of Concern: Tolpeznikaite et al. Characterization of Macro- and Microalgae Extracts Bioactive Compounds and Micro- and Macroelements Transition from Algae to Extract. Foods 2021, 10, 2226
Authors:   Foods Editorial Office
Published: July 2024

With this notice, the Foods Editorial Office alerts the readers to concerns related to this article [...]
Effects of Ultrasound-Assisted Soy Lecithin Addition on Rehydration Behavior and Physical Properties of Egg White Protein Powder
Authors: Cao Sijia , Liu Xuanting , Zheng Zhiyuan , Yan Zhaohui , Zhang Ting , Liu Jingbo , Yu Ting
Published: July 2024

This study investigated the effects of ultrasound-assisted soybean lecithin (SL) on the rehydration behavior and physical properties of egg white protein powder (EWPP) and its ability to enhance the efficacy of EWPP instant solubility. The results of rehydration, including wettability and dispersibility, indicated that ultrasound (200 W)-assisted SL (5 g/L) addition had the shortest wetting time and dispersion time, which were 307.14 ± 7.00 s and 20.95 ± 2.27 s, respectively. In terms of powder properties, the EWPP with added SL had lower lightness, moisture content and bulk density. In addition, the increase in average particle size, net negative charge, free sulfhydryl group content and surface hydrophobicity indicated that ultrasound treatment facilitated the protein structures unfolding and promoted the formation of SL-EWP complexes. Overall, our study provided a new perspective for the food industry regarding using ultrasound technology to produce instant EWPP with higher biological activity and more complete nutritional value.
Comparison of Gamma-Oryzanol Nanoemulsions Fabricated by Different High Energy Techniques
Authors: Jaime-Báez Rodrigo , Saldo Jordi , González-Soto Rosalía América
Published: July 2024

Gamma-oryzanol (GO) is a bioactive compound that, due to its biological characteristics, can be added to a food matrix. However, the bioactive compound is difficult to incorporate due to its low solubility and stability. A nanoemulsion allows substances to be packaged in nanometric sizes, improving their bioavailability. In this work, a GO nanoemulsion was developed using high-energy techniques. The methodological process began with the formulation of the coarse emulsion, where the emulsifiers (sodium caseinate and citrus pectin), diluent (rice bran oil), and pH were varied to find the most stable formulation. The coarse emulsion was subjected to four high-energy techniques (conventional homogenization, high-pressure homogenization, ultra-high-pressure homogenization, and ultrasonication) to reduce the droplet size. A physical-stability test, rheological-behavior test, image analysis, and particle-size-and-distribution test were conducted to determine which was the best technique. The formulation with the highest stability (pH 5.3) was composed of 87% water, 6.1% sodium caseinate, 0.6% citrus pectin, 6.1% rice bran oil, and 0.2% GO. The ultrasonic treatment obtains the smallest particle size (30.1 ± 1 nm), and the high-pressure treatment obtains the greatest stability (TSI < 0.3), both at 0 and 7 days of storage. High-energy treatments significantly reduce the droplet size of the emulsion, with important differences between each technique.
Cramp–Fasciculation Syndrome Associated with Natural and Added Chemicals in Popular Food Items
Authors: Lagrange Emmeline , Vernoux Jean-Paul , Chambon Celia , Camu William , Spencer Peter S.
Published: July 2024

Cramp–fasciculation syndrome (CFS) is a rare and benign neuromuscular disorder that may initially masquerade as motor neuron disease/amyotrophic lateral sclerosis. While CFS may have a familial disposition, we report on cases associated with high consumption of popular food items. One set of patients reversibly experienced acute onset of headache, flushing, muscle stiffness and fasciculations following the consumption of umami-flavored food containing a large concentration of monosodium glutamate. A second group of patients consuming food derived from lupin seed developed acute cholinergic toxicity, CFS, and, with chronic intake, significant, self-limiting, but incompletely reversible upper and lower motor neuron deficits. While these cases may improve our knowledge about the possible causes of CFS, our series also demonstrates that excessive consumption of some popular foods is not harmless. This warrants further research on their safety at all stages of human development from a neurological point of view.
In Vivo Glycemic Response of Fruit-Based Mango (Mangifera indica) and Pineapple (Ananas comosus) Bars in In Vitro and In Silico Enzyme Inhibitory Effects Studies
Authors: Pérez-Beltrán Yolanda E. , Wall-Medrano Abraham , Valencia Estrada Monserrat A. , Sánchez-Burgos Jorge A. , Blancas-Benítez Francisco Javier , Tovar Juscelino , Sáyago-Ayerdi Sonia G.
Published: July 2024

The habitual consumption of snacks has the potential to enrich or harm the diet. They can contribute to excessive caloric intake and hyperglycemia. Thus, there is an increasing interest in snacks with health-promoting properties. This study aimed to demonstrate the beneficial effect of two fruit-based bars on glucose levels through in vitro, in vivo, and in silico assays. Mango (Mangifera indica L.) and pineapple (Ananas comosus L.) bars (MB and PB) were prepared, and chemical composition, postprandial glycemic response, glycemic index (GI), and glycemic load (GL) were evaluated. The inhibitory effect of fruit bar extracts on α-amylase and α-glucosidase activity and their respective molecular docking was assessed. MB and PB showed the lowest postprandial glycemic response vs. the control bar (p < 0.005), a lower GI (CB: 64.20, PB: 53.20, MB: 40.40), and a GL of 10.9 (CB), 7.9 (PB), and 6.1 (MB), (p < 0.05). MB and PB showed the highest inhibition % of α-amylase (61.44 and 59.37%, respectively) and α-glucosidase (64.97 and 64.57%). Naringenin (−1692.5985 and −2757.674 kcal/mol) and ferulic acid (−1692.8904 and −2760.3513 kcal/mol) exhibited more favorable interaction energies against α-amylase and α-glucosidase activity. The presence of polyphenols from the fruit influenced enzymatic inhibition. Likewise, the dietary fiber in the bars evaluated allowed us to observe a positive effect that favors glycemic control, making them a healthy alternative for snacking.