bluuebunny/crossref_metadata_2025 huggingface dataset:
The Dark Side Effect of Entrepreneurial Resilience Diversity on Pivoting: The Role of Team Reflexivity
Authors: Fu Jialiang , Zhu Renhong , Liu Qin , Jiao Yishuo , Li Xiaowei
Published: October 2023

Resilience is widely recognized as a form of psychological capital that helps entrepreneurs cope with challenges in the face of adversity by actively adjusting business strategies. Prior research has investigated the effect of resilience on pivoting, which is an important entrepreneurial decision to forgo the original business opportunity and exploit new opportunities. Despite the increasing empirical evidence on the effect of resilience on strategic changes and the pivot, the literature may have overstated the benefits of entrepreneurial resilience while neglecting its potential dark sides. Hence, the current study focuses on the structure of resilience within an entrepreneurial team and introduces the concept of resilience diversity. Drawing from sensemaking theory, we develop a research framework that investigates the dark-side effects of resilience diversity on team reflexivity and pivoting and the moderating effect of environmental hostility. Empirical results from a two-wave survey of 112 entrepreneurial teams in China reveal that resilience diversity negatively affects pivoting by impairing the quality of team reflexivity. Moreover, the mediating effect of team reflexivity is strengthened in hostile environments. These findings contribute to the literature on entrepreneurial resilience, pivot, and team reflexivity, and provide important practical implications for entrepreneurial teams.
Configuration Optimization for Sustainable Temporary Houses Employing BIM Procedure
Authors: Tirella Viviana , Fabbricatore Carmen , Carpino Cristina , Arcuri Natale , Barreca Francesco
Published: October 2023

Building information modeling (BIM) is a process for managing the construction information model. The possibility of managing very complex construction orders using information processes has made the work of designers both easier and more productive. In this research, a new process of “assisted design” was implemented for self-assembling temporary houses with high environmental sustainability. The developed procedure allows for the supporting of a nonexpert user in the configuration of housing modules, using the base elements, and assisting them until the energy verification process based on the place of installation. Furthermore, a lifecycle assessment of emissions is made available. This is the result of the interoperability of software enabled by using BIM logic. The proposed work contributes to enriching the range of technical solutions developed to meet the demand for temporary buildings, providing a valid support tool in the design phase, especially when it needs to be completed within a short timeframe. This study introduces a smart configuration procedure that combines aspects of project automation and flexibility with energy efficiency and environmental sustainability needs required for the green transition of building stock.
Dynamic Response of a Box Multistage Stiffened Beam under the Coupling of Vehicle Load and Air Blast Load
Authors: Ma Jian , Gao Yu , Ke Li , Gao Lei , Huang Ruiyuan , Wang Jingwen
Published: October 2023

If a bridge is subjected to a blast load when there is vehicle traffic, not only its own safety is threatened, but it can also lead to damage to vehicles. In addition, the coupling of a vehicle load and an explosion load may further aggravate the impact of an explosion. To understand the coupling relationship between the two kinds of loads on a bridge, a static load was applied on the bridge using the impact coefficient while a blast load was applied on the outside of the bridge. A numerical simulation was also used to further study the coupling effect of the vehicle load and the explosion load. The results showed that the vehicle load could effectively limit the vertical deformation. The numerical model was accurate in predicting the response process of the stiffened beam. With the coupling of the vehicle load, the equivalent plastic strain of the box multistage stiffened beam was mainly concentrated at the hinge and decreased when the blast loading remained constant. The transverse anti-blast performance of the stiffened beam was mainly provided by the bridge web and the diaphragm under the coupling effect of the vehicle load and the blasting load, but the function of the diaphragm was weakened. Additionally, the hinge used as a connector was able to directly affect the bearing capacity of the bridge. Even if the hinge was only slightly damaged, it could cause the bridge to enter the failure stage, meaning that the strength of the hinge must be greater than that of the bridge.
Emergent CuWO4 Photoanodes for Solar Fuel Production: Recent Progress and Perspectives
Authors: Lee Jin Uk , Kim Jin Hyun , Lee Jae Sung
Published: October 2023

Solar fuel production using a photoelectrochemical (PEC) cell is considered as an effective solution to address the climate change caused by CO2 emissions, as well as the ever-growing global demand for energy. Like all other solar energy utilization technologies, the PEC cell requires a light absorber that can efficiently convert photons into charge carriers, which are eventually converted into chemical energy. The light absorber used as a photoelectrode determines the most important factors for PEC technology—efficiency, stability, and the cost of the system. Despite intensive research in the last two decades, there is no ideal material that satisfies all these criteria to the level that makes this technology practical. Thus, further exploration and development of the photoelectode materials are necessary, especially by finding a new promising semiconductor material with a suitable band gap and photoelectronic properties. CuWO4 (n-type, Eg = 2.3 eV) is one of those emerging materials that has favorable intrinsic properties for photo(electro)catalytic water oxidation, yet it has been receiving less attention than it deserves. Nonetheless, valuable pioneering studies have been reported for this material, proving its potential to become a significant option as a photoanode material for PEC cells. Herein, we review recent progress of CuWO4-based photoelectrodes; discuss the material’s optoelectronic properties, synthesis methods, and PEC characteristics; and finally provide perspective of its applications as a photoelectrode for PEC solar fuel production.
Bimetallic Single-Atom Catalysts for Electrocatalytic and Photocatalytic Hydrogen Production
Authors: Zhang Mengyang , Xu Keyu , Sun Ning , Zhuang Yanling , Wang Longlu , Yan Dafeng
Published: October 2023

Electrocatalytic and photocatalytic hydrogen evolution reactions (HERs) provide a promising approach to clean energy generation. Bimetallic single-atom catalysts have been developed and explored to be advanced catalysts for HER. It is urgent to review and summarize the recent advances in developing bimetallic single-atom HER catalysts. Firstly, the fundamentals of bimetallic single-atom catalysts are presented, highlighting their unique configuration of two isolated metal atoms on their supports and resultant synergistic effects. Secondly, recent advances in bimetallic single-atom catalysts for electrocatalytic HER under acidic/alkaline conditions are then reviewed, including W-Mo, Ru-Bi, Ni-Fe, Co-Ag, and other dual-atom systems on graphene and transition metal dichalcogenides (TMDs) with enhanced HER activity versus monometallic analogs due to geometric and electronic synergies. Then, photocatalytic bimetallic single-atom catalysts on semiconducting carbon nitrides for solar H2 production are also discussed. Finally, an outlook is provided on opportunities and challenges in precisely controlling bimetallic single-atom catalyst synthesis and gaining in-depth mechanistic insights into bimetallic interactions. Further mechanistic and synthetic studies on bimetallic single-atom catalysts will be imperative for developing optimal systems for efficient and sustainable hydrogen production.
Trends in Neonatal Mortality at Princess Marie Louise Children’s Hospital, Accra, and the Newborn Strategic Plan: Implications for Reducing Mortality in Hospital and the Community
Authors: Tette Edem M. A. , Nartey Edmund T. , Nyarko Mame Yaa , Aduful Abena K. , Neizer Margaret L.
Published: October 2023

Background: In low and middle-income countries, close to half of the mortality in children under the age of five years occurs in neonates. Objectives: We examined the trend, medical conditions and factors associated with newborn deaths at the Princess Marie Louise Children’s Hospital (PML), Accra, from 2014 to 2017 (4 years). Methods: The study was a cross-sectional study. Data on age, sex, date of admission, date of discharge, cause of death and place of residence of these babies were obtained from the records department. This was transferred into an Access database and analyzed. Components of the Newborn Strategic Plan implemented at the hospital were described. Results: Neonatal sepsis, pneumonia and kernicterus were the major causes of death. Admissions increased and 5.4% of the neonates died, declining from 6.5% in 2014 to 4.2% in 2017 due to deliberate actions to reduce neonatal death. The highest mortality occurred in babies residing in an area more than 1 hour’s drive away from the hospital. Conclusion: Implementing the Newborn Strategic Plan was associated with a drop in mortality. A preponderance of community-acquired infections was observed. Thus, locality-specific interventions targeted at known determinants and implementing the newborn strategic plan are essential for reducing neonatal mortality.
Practical Stepwise Approach to Performing Neonatal Brain MR Imaging in the Research Setting
Authors: King Regan , Low Selma , Gee Nancy , Wood Roger , Hadweh Bonny , Houghton Joanne , Leijser Lara M.
Published: October 2023

Magnetic resonance imaging (MRI) is a non-invasive imaging technique that is commonly used for the visualization of newborn infant brains, both for clinical and research purposes. One of the main challenges with scanning newborn infants, particularly when scanning without sedation in a research setting, is movement. Infant movement can affect MR image quality and therewith reliable image assessment and advanced image analysis. Applying a systematic, stepwise approach to MR scanning during the neonatal period, including the use of the feed-and-bundle technique, is effective in reducing infant motion and ensuring high-quality images. We provide recommendations for one such systematic approach, including the step-by-step preparation and infant immobilization, and highlight safety precautions to minimize any potential risks. The recommendations are primarily focused on scanning newborn infants for research purposes but may be used successfully for clinical purposes as well, granted the infant is medically stable. Using the stepwise approach in our local research setting, our success rate of acquiring high-quality, analyzable infant brain MR images during the neonatal period is as high as 91%.
Childhood Trauma and Exposure to Violence Interventions: The Need for Effective and Feasible Evidence-Based Interventions
Authors: Tsheole Petunia , Makhado Lufuno , Maphula Angelina
Published: October 2023

Several crimes in South Africa cause physical, economic, and mental problems. Xenophobic attacks, mob justice, and other violent conduct directly traumatise children. Service delivery riots and physical and sexual abuse are examples. This evaluation evaluates childhood trauma and exposure to violence interventions. The review describes the therapeutic methods for traumatised children exposed to violence, the healthcare professionals administering them, and the strategies used to tailor the interventions. The researcher systematically searched PsycINFO, Google Scholar, PubMed, Science Direct, and EBSCOhost. Literature from 2011 to 31 July 2023 was searched, and 19 papers were chosen for further review after the systematic search. The authors conducted an eligibility evaluation according to PRISMA guidelines. A thorough review of article texts identified 19 papers that met eligibility standards. Only nineteen studies have validated trauma and violence therapies for children. An effective multi-phased intervention that is feasible and adaptable to varied socioeconomic backgrounds is needed. Further studies on the mental health benefits of brief trauma intervention treatment are needed.
Gender-Related Issues in the Management of Low-Back Pain: A Current Concepts Review
Authors: Bizzoca Davide , Solarino Giuseppe , Pulcrano Alessandro , Brunetti Giovanni , Moretti Anna Maria , Moretti Lorenzo , Piazzolla Andrea , Moretti Biagio
Published: October 2023

Background: Low back pain (LBP) is an emerging disease. This review aims to investigate the role of gender-related factors in the diagnosis, clinical, and surgical management of LBP. Methods: From January 2002 to March 2023, EMBASE, SCOPUS, OVID-MEDLINE, Google Scholar, PubMed, and Web of Science were searched to identify relevant papers for further analysis. Results: Fifteen papers were included in this review. Sex- and gender-related differences were analyzed regarding the following points: (1) LBP epidemiology; (2) LBP physiopathology; (3) conservative management of LBP; (4) major vertebral surgery for LBP. The conservative treatment of LBP highlights that women claim services later in terms of poorer health status than men. In the postoperative phase, female patients show worse LBP, quality of life, and disability, but equal or greater interval change, compared with male patients complaining of lumbar degenerative disease. Conclusions: LBP epidemiology and clinical outcomes, following conservative and surgical management of patients complaining of back pain, might depend on both sex- and gender-related factors. It is mandatory to assess gender-related indicators in patients referred to LBP and address them to improve their clinical outcomes and quality of life.
The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management
Authors: Vulpoi Radu Alexandru , Luca Mihaela , Ciobanu Adrian , Olteanu Andrei , Bărboi Oana , Iov Diana-Elena , Nichita Loredana , Ciortescu Irina , Cijevschi Prelipcean Cristina , Ștefănescu Gabriela , Mihai Cătălina , Drug Vasile Liviu
Published: October 2023

Irritable bowel syndrome (IBS) has a global prevalence of around 4.1% and is associated with a low quality of life and increased healthcare costs. Current guidelines recommend that IBS is diagnosed using the symptom-based Rome IV criteria. Despite this, when patients seek medical attention, they are usually over-investigated. This issue might be resolved by novel technologies in medicine, such as the use of Artificial Intelligence (AI). In this context, this paper aims to review AI applications in IBS. AI in colonoscopy proved to be useful in organic lesion detection and diagnosis and in objectively assessing the quality of the procedure. Only a recently published study talked about the potential of AI-colonoscopy in IBS. AI was also used to study biofilm characteristics in the large bowel and establish a potential relationship with IBS. Moreover, an AI algorithm was developed in order to correlate specific bowel sounds with IBS. In addition to that, AI-based smartphone applications have been developed to facilitate the monitoring of IBS symptoms. From a therapeutic standpoint, an AI system was created to recommend specific diets based on an individual’s microbiota. In conclusion, future IBS diagnosis and treatment may benefit from AI.
Multimodal Diagnostics of Changes in Rat Lungs after Vaping
Authors: Yanina Irina , Genin Vadim , Genina Elina , Mudrak Dmitry , Navolokin Nikita , Bucharskaya Alla , Kistenev Yury , Tuchin Valery
Published: October 2023

(1) Background: The use of electronic cigarettes has become widespread in recent years. The use of e-cigarettes leads to milder pathological conditions compared to traditional cigarette smoking. Nevertheless, e-liquid vaping can cause morphological changes in lung tissue, which affects and impairs gas exchange. This work studied the changes in morphological and optical properties of lung tissue under the action of an e-liquid aerosol. To do this, we implemented the “passive smoking” model and created the specified concentration of aerosol of the glycerol/propylene glycol mixture in the chamber with the animal. (2) Methods: In ex vivo studies, the lungs of Wistar rats are placed in the e-liquid for 1 h. For in vivo studies, Wistar rats were exposed to the e-liquid vapor in an aerosol administration chamber. After that, lung tissue samples were examined ex vivo using optical coherence tomography (OCT) and spectrometry with an integrating sphere. Absorption and reduced scattering coefficients were estimated for the control and experimental groups. Histological sections were made according to the standard protocol, followed by hematoxylin and eosin staining. (3) Results: Exposure to e-liquid in ex vivo and aerosol in in vivo studies was found to result in the optical clearing of lung tissue. Histological examination of the lung samples showed areas of emphysematous expansion of the alveoli, thickening of the alveolar septa, and the phenomenon of plasma permeation, which is less pronounced in in vivo studies than for the exposure of e-liquid ex vivo. E-liquid aerosol application allows for an increased resolution and improved imaging of lung tissues using OCT. Spectral studies showed significant differences between the control group and the ex vivo group in the spectral range of water absorption. It can be associated with dehydration of lung tissue owing to the hyperosmotic properties of glycerol and propylene glycol, which are the main components of e-liquids. (4) Conclusions: A decrease in the volume of air in lung tissue and higher packing of its structure under e-liquid vaping causes a better contrast of OCT images compared to intact lung tissue.
Enhancing English Acquisition: Effects of among us Game-Based Gamification on Language Competence, Motivation, Attention, and Attitude towards the English Subject
Authors: Casanova-Mata Irene
Published: October 2023

This study aimed to ascertain if there was a significant impact on the acquisition of English language competence, motivation, attention, and emotions towards English as a Second Language (ESL) after the development of gamification based on the famous Among us game with primary education students aged 7–8 years (n = 24) from a state school in Ciudad Real (Castilla-La Mancha). An experimental method with a pretest–post-test design was considered, in which the control group followed a transmission instructional model, and the experimental group underwent an eight-session gamified experience using Information and Communication Technologies (ICT). Four ad hoc tests were designed and implemented to assess writing, reading, speaking, and listening skills, while various test adaptations were used to measure attention and motivation variables. The results show that gamification helped to improve the variables analyzed, showing significant enhancements in reading from the experimental group, as well as a more positive attitude towards the English subject, increased active participation, and fewer negative inclinations towards mistakes. The study suggests that incorporating gamification can have a positive impact on learning outcomes and may serve as a means of bridging linguistic inequalities and promoting equitable access to language learning opportunities. However, further research is necessary to explore the potential of gamification in this regard.
Developing a Healthcare and Medical School at King Faisal University: Implications for Educational Performance and Cost-Effectiveness
Authors: Almomin Ali , Sobaih Abu Elnasr E.
Published: October 2023

This research explored the potential of developing a university healthcare and medical school within King Faisal University, Saudi Arabia, by merging four medical and/or healthcare colleges within the institution into a medical school. The objective of a medical school is to produce professionals who are capable of performing the most fundamental tasks in healthcare and medicine up to the expectations of the market. This research explored various case studies involving mergers, their importance, and how they were conducted to inform this research study. This study adopted a qualitative research approach to collect data from healthcare and medical colleges’ senior management, including deans, vice-deans, as well as heads of departments. The results showed several benefits of mergers, although some challenges were also raised. Culture, which some interviewees identified as change-resistant and risk-averse, was recognised as a key challenge for implementing mergers. Additionally, the need for generating funds for the merger projects was identified as a challenge at the start of the initiatives. Furthermore, compliance with regulations and laws at a public university is another challenge. This study identified the need for a strategic framework that builds on stakeholders’ involvement and proper communication and addresses the proposals’ repercussions. Some implications for educational performance and cost effectiveness were highlighted.
A Path Planning Algorithm of Inspection Robots for Solar Power Plants Based on Improved RRT*
Authors: Wang Fangbin , Gao Yefei , Chen Zhong , Gong Xue , Zhu Darong , Cong Wanlin
Published: October 2023

In order to improve the safety and efficiency of inspection robots for solar power plants, the Rapidly Exploring Random Tree Star (RRT*) algorithm is studied and an improved method based on an adaptive target bias and heuristic circular sampling is proposed. Firstly, in response to the problem of slow search speed caused by random samplings in the traditional RRT* algorithm, an adaptive target bias function is applied to adjust the generation of sampling points in real-time, which continuously expands the random tree towards the target point. Secondly, to solve the problem that the RRT* algorithm has a low search efficiency and stability in narrow and long channels of solar power plants, the strategy of heuristic circular sampling combined with directional deviation is designed to resample nodes located on obstacles to generate more valid nodes. Then, considering the turning range of the inspection robot, our method will prune nodes on the paths that fail to meet constraint of the minimum turning radius. Finally, the B-spline curve is used to fit and smooth the path. A simulation experiment based on the environment of solar power plant is conducted and the result demonstrates that, compared with the RRT*, the improved RRT* algorithm reduces the search time, iterations, and path cost by 62.06%, 45.17%, and 1.6%, respectively, which provides a theoretical basis for improving the operational efficiency of inspection robots for solar power plants.
Non-Uniform Motion Aggregation with Graph Convolutional Networks for Skeleton-Based Human Action Recognition
Authors: Liang Chengwu , Yang Jie , Du Ruolin , Hu Wei , Tie Yun
Published: October 2023

Skeleton-based human action recognition aims to recognize human actions from given skeleton sequences. The literature utilizes fixed-stride sampling and uniform aggregations, which are independent of the input data and do not focus on representative motion frames. In this paper, to overcome the challenge of the fixed uniform aggregation strategy being unable to focus on discriminative motion information, a novel non-uniform motion aggregation embedded with a graph convolutional network (NMA-GCN) is proposed for skeleton-based human action recognition. Based on the skeleton quality and motion-salient regions, NMA is able to focus on the discriminative motion information of human motion-salient regions. Finally, the aggregated skeleton sequences are embedded with the GCN backbone for skeleton-based human action recognition. Experiments were conducted on three large benchmarks: NTU RGB+D, NTU RGB+D 120, and FineGym. The results show that our method achieves 93.4% (Xsub) and 98.2% (Xview) on NTU RGB+D dataset, 87.0% (Xsub) and 90.0% (Xset) on the NTU RGB+D 120 dataset, and 90.3% on FineGym dataset. Ablation studies and evaluations across various GCN-based backbones further support the effectiveness and generalization of NMA-GCN.
Research on a Decision Tree Classification Algorithm Based on Granular Matrices
Authors: Meng Lijuan , Bai Bin , Zhang Wenda , Liu Lu , Zhang Chunying
Published: October 2023

The decision tree is one of the most important and representative classification algorithms in the field of machine learning, and it is an important technique for solving data mining classification tasks. In this paper, a decision tree classification algorithm based on granular matrices is proposed on the basis of granular computing theory. Firstly, the bit-multiplication and bit-sum operations of granular matrices are defined. The logical operations between granules are replaced by simple multiplication and addition operations, which reduces the operation time. Secondly, the similarity between granules is defined, the similarity metric matrix of the granular space is constructed, the classification actions are extracted from the similarity metric matrix, and the classification accuracy is defined by weighting the classification actions with the probability distribution of the granular space. Finally, the classification accuracy of the conditional attribute is used to select the splitting attributes of the decision tree as the nodes to form forks in the tree, and the similarity between granules is used to judge whether the data types in the sub-datasets are consistent to form the leaf nodes. The feasibility of the algorithm is demonstrated by means of case studies. The results of tests conducted on six UCI public datasets show that the algorithm has higher classification accuracy and better classification performance than the ID3 and C4.5.
An Area-Efficient Unified VLSI Architecture for Type IV DCT/DST Having an Efficient Hardware Security with Low Overheads
Authors: Chiper Doru , Cracan Arcadie
Published: October 2023

This paper introduces an efficient solution for designing a unified VLSI implementation for type IV DCT/DST while solving one challenging problem in obtaining high performance VLSI chips for common goods, which is solving the security of the hardware while obtaining a VLSI implementation with high performance. The new solution uses a new systolic array algorithm for type IV DST that can allow us to obtain an efficient unified VLSI architecture with one previously designed for type IV DCT. The proposed method uses special arithmetic structures that have been called quasi-cycle convolutions that can be efficiently mapped on linear systolic arrays. Moreover, the obtained unified VLSI architecture, besides being an efficient implementation with a low hardware complexity and high-speed performance, allows for an efficient inclusion of the obfuscation technique with very low overheads.
Continuous Fermentation Coupled with Online Gas Stripping for Effective Biobutanol Production
Authors: Lin Zhangnan , Liu Hongjuan , Cong Wei , Zhang Jian’an
Published: October 2023

The main problems with the butanol fermentation process include high cost of grain raw materials, low product concentration and low butanol productivity caused by butanol cytotoxicity. In this study, cassava, a cheap crop, was used as the raw material. A symbiotic system TSH06, which possesses the capability to synthesize butanol under non-strict anaerobic conditions, was used as the fermentation strain. The fermentation performance of TSH06 in a cassava system was investigated. In order to eliminate product inhibition and promote the concentration and productivity of butanol, a strategy of continuous fermentation coupled with online gas stripping was developed. By using the strategy of two-stage continuous fermentation using immobilized cells coupled with online gas stripping, the butanol productivity reached 0.9 g/(L·h); at the same time, a high butanol concentration was achieved, and the concentration of butanol obtained in the condensate reached 71.2 g/L.
A Computational Study of the Influence of Drag Models and Heat Transfer Correlations on the Simulations of Reactive Polydisperse Flows in Bubbling Fluidized Beds
Authors: Cruz Manuel Ernani , Verissimo Gabriel Lisbôa , Brandão Filipe Leite , Leiroz Albino José Kalab
Published: October 2023

In this work, the influence of gas–solid drag and heat transfer coefficient models on the prediction capacity of the Euler–Euler approach to simulate reactive bubbling fluidized bed flows is studied. Three different cases are considered, a non-reactive bidisperse bubbling fluidized bed flow (Case 1), and two reactive polydisperse flows in bubbling fluidized beds, one for biomass gasification (Case 2), and the other for biomass pyrolysis (Case 3). The Gidaspow, Syamlal–O’Brien, and BVK gas–solid drag models and the Gunn, Ranz–Marshall, and Li–Mason gas–solid heat transfer correlations are investigated. A Eulerian multiphase approach in a two-dimensional Cartesian domain is employed for the simulations. Computational results for the three cases are compared with experimental data from the literature. The results obtained here contribute to a better understanding of the impacts of such closure models on the prediction ability of the Euler–Euler approach to simulate reactive flows. The results indicate that, for the simulation of reactive flows in bubbling fluidized bed reactors, the kinetic modeling of the reactions has a global effect, which superposes with the influence of the drag and heat transfer coefficient models. Nevertheless, local parameters can be noticeably affected by the choice of the interface closure models. Finally, this work also identifies the models that lead to the best results for the cases analyzed here, and thus proposes the use of such selected models for gasification and pyrolysis processes occurring in bubbling fluidized bed reactors.
Ultrasonic Bubble Cleaner as a Sustainable Solution
Authors: Howell Justin , Ham Emerson , Jung Sunghwan
Published: October 2023

We aim to develop a floor-cleaning design by exploiting oscillating bubbles combined with ambient pressure waves to clean various surfaces. Previous studies of this method in lab settings have proven its efficacy, but practical applications, especially concerning real-world conditions like dirt surfaces, remain largely unprobed. Our findings indicate that, excluding a configuration with a heavy mass bottom transducer, all tested configurations achieved approximately 60–70% cleaning performance. A slight improvement in cleaning performance was observed with the introduction of microbubbles, although it was within the error margin. Particularly noteworthy is the substantial reduction in water consumption in configurations with a water pocket, decreasing from 280 mL to a mere 3 mL, marking a significant step toward more environmentally sustainable cleaning practices, such as reduced water usage. This research provides implications for real-world cleaning applications, promising an eco-friendly and efficient cleaning alternative that reduces water usage and handles a variety of materials without causing damage.
Advances in the Preparation, Stability, Metabolism, and Physiological Roles of Anthocyanins: A Review
Authors: Li Qi , Zhang Fengzhen , Wang Zhenzhen , Feng Yaoze , Han Yahong
Published: October 2023

Anthocyanins are natural flavonoid polyphenolic compounds widely found in fruits and vegetables. They exhibit antioxidant properties and prophylactic effects in the immune and cardiovascular systems, confer protection against cancer, and contribute to the prevention of cardiovascular diseases. Thus, their incorporation into functional foods, pharmaceuticals, supplements, and cosmetic formulations aims at promoting human well-being. This review comprehensively outlined the structural attributes of anthocyanins, expanding upon diverse methodologies employed for their extraction and production. Additionally, the stability, metabolic pathways, and manifold physiological functions of anthocyanins were discussed. However, their constrained fat solubility, susceptibility to instability, and restricted bioavailability collectively curtail their applicability and therapeutic efficacy. Consequently, a multidimensional approach was imperative, necessitating the exploration of innovative pathways to surmount these limitations, thereby amplifying the utilitarian significance of anthocyanins and furnishing pivotal support for their continual advancement and broader application.
bglG Regulates the Heterogeneity Driven by the Acid Tolerance Response in Lacticaseibacillus paracasei L9
Authors: Shen Zhichao , Lin Li , Zhai Zhengyuan , Liang Jingjing , Chen Long , Hao Yanling , Zhao Liang
Published: October 2023

The acid tolerance of lactic acid bacteria is crucial for their fermentation and probiotic functions. Acid adaption significantly enhances the acid tolerance of strains, and the phenotypic heterogeneity driven by the acid tolerance response (ATR) contributes to this process by providing a selective advantage in harsh environments. The mechanism of heterogeneity under the ATR is not yet clear, but individual gene expression differences are recognized as the cause. In this study, we observed four heterogeneous subpopulations (viable, injured, dead, and unstained) of Lacticaseibacillus paracasei L9 (L9) induced by acid adaption (pH 5.0, 40 min) using flow cytometry. The viable subpopulation represented a significantly superior acid tolerance to the injured subpopulation or total population. Different subpopulations were sorted and transcriptomic analysis was performed. Five genes were found to be upregulated in the viable subpopulation and downregulated in the injured subpopulation, and bglG (LPL9_RS14735) was identified as having a key role in this process. Using salicin (glucoside)-inducing gene expression and gene insertion mutagenesis, we verified that bglG regulated the heterogeneity of the acid stress response and that the relevant mechanisms might be related to activating hsp20. This study provides new evidence for the mechanism of the ATR and may contribute to the theoretical basis of improving the acid tolerance of Lacticaseibacillus paracasei L9.
Insight into the Interaction Mechanism of Vitamin D against Metabolic Syndrome: A Meta-Analysis and In Silico Study
Authors: Xia Yuting , Yu Yuandong , Zhao Yi , Deng Zhifen , Zhang Lei , Liang Guizhao
Published: October 2023

As a dietary supplement or functional food additive, vitamin D (VD) deficiency may impact extra-skeletal functions associated with metabolic syndrome (MetS) risk factors. However, the precise effects and mechanisms of VD supplementation on dyslipidemia and insulin resistance in MetS subjects remain controversial. Here, we investigate potential therapeutic targets, pathways and mechanisms of VD against MetS through a comprehensive strategy including meta-analysis, network pharmacology analysis, molecular docking, dynamics simulations, and quantum chemical calculations. Our results reveal that VD supplementation significantly reduces triglyceride levels, fasting glucose, and insulin concentrations in subjects, thereby improving insulin homeostasis to some extent. We theoretically identify 14 core MetS-associated targets. Notably, VD exhibits substantial interactions with three targets (PPARγ, FABP4, and HMGCR) in the PPAR signaling pathway, indicating that VD can modulate this pathway. Van der Waals forces predominantly stabilize the complexes formed between VD and the three targets. Nonetheless, to provide valuable insights for personalized MetS management, further research is necessary to confirm our findings, emphasizing the importance of exploring genetic variability in VD response. In conclusion, our study contributes insights into the mechanisms of VD in preventing and treating MetS through dietary supplementation, promoting the development of VD-based functional foods or nutritious diets.
Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis
Authors: Ungureanu Elena L. , Mocanu Andreea L. , Stroe Corina A. , Duță Denisa E. , Mustățea Gabriel
Published: October 2023

Bibliometric analysis is an effective method used to identify research trends based on historical publications that involves combining different frameworks, tools and methods, leading to the creation of different metrics. This study employed bibliometric analysis to investigate the global health risk assessment of heavy metals in food from 2000 to 2022 using Web of Science and VOSviewer. We explore publication trends, affiliations, countries, journals, citations, keywords and author collaborations. Of the 573 publications on this topic, there has been a notable increase in recent years. The Ministry of Agriculture and Rural Affairs (China) and Shahid Beheshti University of Medical Sciences (Iran) are the most prolific affiliations. Environmental Science and Pollution Research is the top journal. Notably, “heavy metals”, “risk assessment”, “cadmium”, “lead”, and “trace elements” are frequently used keywords. A study by Miraglia et al. in 2009 received the most citations. Amin Mousavi Khaneghah (Poland) is the most prolific author, with 24 papers. Articles mainly focus on contamination levels in fish, seafood, cereals, dairy, meat, and fruit/vegetables. Some studies highlight potential risks, necessitating stricter food product controls for consumer safety.
A New Ready-to-Eat Product Based on Enzymatically Peeled ‘Hernandina’ Clementine Segments and Citrus Syrup
Authors: Díaz-Mula Huertas M. , López Juan P. , Serrano María , Pretel María T.
Published: October 2023

Ready-to-eat fresh fruit have an increasing presence in international markets due to their convenience and health benefits. However, these products are highly perishable and efficient technologies to increase their shelf life are needed. In the present research, different citrus fruit species and cultivars from organic farming were assessed to obtain enzymatically peeled citrus segments. The best results in terms of segment quality were observed for ‘Hernandina’ clementine, which was chosen to make a new ready-to-eat product based on peeled citrus segments that were packaged in glass jars with a light syrup made of citrus juice and organic sugar cane. Different citrus juice mixtures were assayed and the most appreciated syrup, based on the sensory scores given by panellists, was that containing 50–50 (v/v) of ‘Fino’ lemon and ‘Hernandina’ clementine juices. In addition, different pasteurization treatments were assessed for their effects on conserving the safety, nutritional quality and sensory properties of the product during cold storage. The results show that pasteurization treatment at 50 °C for 45 min was sufficient to prevent microbial contamination with mesophilic and psychrophilic aerobic bacteria or yeast and mould and to maintain sensory properties until five weeks of storage at 4 °C. In addition, only a 10% reduction in vitamin C concentrations was observed in fresh-segments or syrup until the end of the storage period, showing that a high bioactive compound content and health benefits were conserved in the new ready-to-eat product after pasteurization and prolonged cold storage.
Low Short-Chain-Fatty-Acid-Producing Activity of the Gut Microbiota Is Associated with Hypercholesterolemia and Liver Fibrosis in Patients with Metabolic-Associated (Non-Alcoholic) Fatty Liver Disease
Authors: Cao Xinlu , Zolnikova Oksana , Maslennikov Roman , Reshetova Maria , Poluektova Elena , Bogacheva Arina , Zharkova Maria , Ivashkin Vladimir
Published: October 2023

The aim of this study was to investigate the short-chain fatty acid (SCFA) activity of the gut microbiota of patients with metabolic-associated fatty liver disease (MAFLD). The level and spectrum of short-chain fatty acids (SCFAs) were determined via gas–liquid chromatography. Liver fibrosis was assessed using the FIB-4 index and elastography. Among 42 non-cirrhotic MAFLD patients, 24 had high fecal SCFA levels (group H) and 18 had low fecal SCFA levels (group L). Patients in group H had lower serum uric acid, total cholesterol, and LDL cholesterol levels but a higher BMI than those in group L. All patients in group L and only 37.9% of those in group H were found to have hypercholesterolemia. In patients with hypercholesterolemia, the level of SCFAs was lower than that in patients without hypercholesterolemia. Patients in group H had less liver fibrosis than patients in group L. A total of 50.0% of the patients in group H and 92.3% of those in group L had significant liver fibrosis (≥F2). Patients with significant liver fibrosis had lower levels of fecal SCFAs—particularly acetate and butyrate. The fecal SCFA levels were positively correlated with gamma-glutamyl transferase, total bilirubin levels, BMI, and platelet count and were negatively correlated with FIB-4, liver stiffness, serum total, and LDL cholesterol levels.
Factors of Capital on Depression in Older Adulthood: A Comparison of Urban and Rural Regions in Korea
Authors: Bae MinYoung , Kim YunYoung , Hong Ijin
Published: October 2023

This study analyses old-age capital in its economic, cultural, and social components, in terms of how it impacts on depression in the elderly, comparing urban and rural regions. Our comparative analysis in urban and rural areas focuses on South Korea, using the Korean Welfare Panel Data from 2012 to 2020. Time-series trends and variables measuring capital and depression in older adults were examined in panel data analyses. Depression among the Korean elderly was at a similar level in urban and rural areas, whereas satisfaction regarding income levels, leisure life, and social relationships was higher for older adults in rural areas. We also found that the higher the economic capital, the higher the leisure life satisfaction (cultural capital), and the higher the social relationship satisfaction (social capital), the lower the rates of depression. Finally, depression among the urban elderly did not decrease as house prices increased as a component of economic capital, and depression decreased among groups participating in volunteer activities as part of the social capital of the rural elderly. In accordance with the socioemotional selectivity theory, older adults in rural areas in Korea have an advantage in terms of cultural capital due to their environment, whereas the psychosocial environment theory is relevant to urban elderly people experiencing relative deprivation in terms of economic capital.
RETRACTED: Yosep et al. Cognitive Behavior Therapy by Nurses in Reducing Symptoms of Post-Traumatic Stress Disorder on Children as Victims of Violence: A Scoping Review. Healthcare 2023, 11, 407
Authors: Yosep Iyus , Mardhiyah Ai , Ramdhanie Gusgus Ghraha , Sari Citra Windani Mambang , Hendrawati Hendrawati , Hikmat Rohman
Published: October 2023

The journal Healthcare retracts the article titled “Cognitive Behavior Therapy by Nurses in Reducing Symptoms of Post-Traumatic Stress Disorder on Children as Victims of Violence: A Scoping Review” by Yosep et al [...]
Microwave Photon Emission in Superconducting Circuits
Authors: D′Elia Alessandro , Rettaroli Alessio , Chiarello Fabio , Di Gioacchino Daniele , Enrico Emanuele , Fasolo Luca , Ligi Carlo , Maccarrone Giovanni , Mantegazzini Federica , Margesin Benno , Mattioli Francesco , Tocci Simone , Vinante Andrea , Gatti Claudio
Published: October 2023

Quantum computing requires a novel approach to store data as quantum states, opposite to classical bits. One of the most promising candidates is entangled photons. In this manuscript, we show the photon emission in the range of microwave frequencies of three different types of superconducting circuits, a SQUID, a JPA, and a JTWPA, often used as low-noise parametric amplifiers. These devices can be operated as sources of entangled photons. We report the experimental protocol used to produce and measure microwave radiation from these circuits, as well as data simulations. The collected spectra are obtained by performing single-tone measurements with a direct rf pump on the devices; the output spectra at low powers (below −100 dBm) are well interpreted by the dynamical Casimir model, while at high powers (above −100 dBm) the system is well described by the Autler–Townes fluorescence of a three-level atom.
Extrusion-Based Additive Manufacturing-Driven Design and Testing of the Snapping Interlocking Metasurface Mechanism ShroomLock
Authors: Gloyer Philip , Schek Lucca Nikita , Flöttmann Hans Lennart , Wüst Paul , Völlmecke Christina
Published: October 2023

This study presents the manufacturing process-driven development of an interlocking metasurface; (ILM) mechanism for fused filament fabrication; (FFF) with a focus on open-source accessibility. The presented ILM is designed to enable strong contact between two planar surfaces. The mechanism consists of spring elements and locking pins which snap together when forced into contact. The mechanism is designed to deliver optimized mechanical properties, functionality, and printability with common FFF printers. The mechanism is printed from a thermoplastic polyurethane; (TPU) filament which was selected for its flexibility, which is necessary for the proper functioning of the spring elements. To characterize the designed mechanism, a tensile test is carried out to assess the holding force of the ILM. The force-displacement profiles are analyzed and categorized into distinct phases, highlighting the interplay between spring deformation, sliding, and disengagement. Finally, from the measurements of multiple printed specimens, a representative holding force is determined through averaging and assigned to the mechanism. The resulting tolerance, which can be attributed to geometric and material-related factors, is discussed. The testing results are discussed and compared with a numerical simulation carried out with a frictionless approach with a nonlinear Neo-Hookean material law. The study underscores the importance of meticulous parameter control in three-dimensional (3D) printing for the consistent and reliable performance of interlocking metasurface mechanisms. The investigation leads to a scalable model of an ILM element pair with distinct three-phase snapping characteristics ensuring reliable holding capabilities.
Effects of Vitamin D Levels on Long-Term Coronary Events in Patients with Proven Coronary Artery Disease: Six-Year Follow-Up
Authors: Yaman Aysun Erdem , Ceylan Ufuk Sadık
Published: October 2023

Although some clinical studies have claimed that low-dose vitamin D (Vit-D) increases the risk of long-term cardiac events, in others, no association was found. To better understand the impact of Vit-D levels on long-term cardiac events in coronary artery disease patients, this study was designed. There were 408 patients with coronary artery disease (CAD). The patients were separated into three groups based on their Vit-D levels: group 1 had levels below 10 ng/mL, group 2 had levels between 10 and 20, and group 3 had levels above 20 ng/mL. Six years were spent monitoring the patients for non-fatal MI, death, vascular revascularization, and stable course data. Mortality was found to be similar between groups (group 1: 24.5%; group 2: 13.8%; group 3: 17.4%; p > 0.05). In group 3, 47.8% of the patients did not experience any cardiac event, while 28.7% in group 2 and 27.6% in group 1 did not experience any cardiac event, and these values were found to be significant in favor of group 3 (p = 0.006). Group 3 was found to have considerably lower rates of non-ST-elevated myocardial infarction (non-STEMI) and unstable angina (UA) than the other groups did (group 1: 49%; group 2: 38%; group 3: 27%; p = 0.001). In conclusion, although vitamin D deficiency does not accompany an increase in mortality, it is associated with an increase in non-STEMI and UA in patients who have previously been diagnosed with CAD.