Call for Papers from Journal of Future Foods

Journal of Future Foods(ISSN 2772-5669.Owner:Beijing Academy of Food Sciences.Production and Hosting:Elsevier B.V.on behalf of KeAi Communications Co.,Ltd.)is an international,peer-reviewed open access journal belonging to the discipline of food science and technology.The aim of the journal is to report latest research results of high-tech in food science.We welcome submissions that drive the field of food science towards whole food nutrition,intelligence and high technology.

Call for Papers from Journal of Future Foods

Journal of Future Foods(ISSN 2772-5669.Owner:Beijing Academy of Food Sciences.Production and Hosting:Elsevier B.V.on behalf of KeAi Communications Co.,Ltd.)is an international,peer-reviewed open access journal belonging to the discipline of food science and technology.The aim of the journal is to report latest research results of high-tech in food science.We welcome submissions that drive the field of food science towards whole food nutrition,intelligence and high technology.

基于ARM嵌入式技术的单相电力谐波检测方法

为保证设备和系统的安全稳定运行,提高电能质量,提出一种基于ARM嵌入式技术的单相电力谐波检测方法。首先,以ARM处理器为核心设计单相电力数据采集模块,采集多通道数据。然后,设计信号调理电路和频率跟踪电路,用于处理单相电力数据,确保采样的同步性。最后,在通信模块和液晶显示屏的支持下,实现多端通信数据传输,对数据进行快速处理,展示在显示屏上,完成单相电力谐波检测工作。实验结果表明:该方法的测量误差在4%以下;曲线斜率最高,最接近1,说明该方法的检测精度高,能够适应复杂的工作环境,具有较强的检测稳定性。

Data-Driven Healthcare:The Role of Computational Methods in Medical Innovation

The purpose of this review is to explore the intersection of computational engineering and biomedical science,highlighting the transformative potential this convergence holds for innovation in healthcare and medical research.The review covers key topics such as computational modelling,bioinformatics,machine learning in medical diagnostics,and the integration of wearable technology for real-time health monitoring.Major findings indicate that computational models have significantly enhanced the understanding of complex biological systems,while machine learning algorithms have improved the accuracy of disease prediction and diagnosis.The synergy between bioinformatics and computational techniques has led to breakthroughs in personalized medicine,enabling more precise treatment strategies.Additionally,the integration of wearable devices with advanced computational methods has opened new avenues for continuous health monitoring and early disease detection.The review emphasizes the need for interdisciplinary collaboration to further advance this field.Future research should focus on developing more robust and scalable computational models,enhancing data integration techniques,and addressing ethical considerations related to data privacy and security.By fostering innovation at the intersection of these disciplines,the potential to revolutionize healthcare delivery and outcomes becomes increasingly attainable.

Assessing the corrosion protection property of coatings loaded with corrosion inhibitors using the real-time atmospheric corrosion monitoring technique

The atmospheric corrosion monitoring(ACM)technique has been widely employed to track the real-time corrosion behavior of metal materials.However,limited studies have applied ACM to the corrosion protection properties of organic coatings.This study compared a bare epoxy coating with one containing zinc phosphate corrosion inhibitors,both applied on ACM sensors,to observe their corrosion protection properties over time.Coatings with artificial damage via scratches were exposed to immersion and alternating dry and wet environments,which allowed for monitoring galvanic corrosion currents in real-time.Throughout the corrosion tests,the ACM currents of the zinc phosphate/epoxy coating were considerably lower than those of the blank epoxy coating.The trend in ACM current variations closely matched the results obtained from regular electrochemical tests and surface analysis.This alignment highlights the potential of the ACM technique in evaluating the corrosion protection capabilities of organic coatings.Compared with the blank epoxy coating,the zinc phosphate/epoxy coating showed much-decreased ACM current values that confirmed the effective inhibition of zinc phosphate against steel corrosion beneath the damaged coating.

Call for Papers from Journal of Future Foods Journal of Future Foods

(ISSN 2772-5669.Owner:Beijing Academy of Food Sciences.Production and Hosting:Elsevier B.V.on behalf of KeAi Communications Co.,Ltd.)is an international,peer-reviewed open access journal belonging to the discipline of food science and technology.The aim of the journal is to report latest research results of high-tech in food science.We welcome submissions that drive the field of food science towards whole food nutrition,intelligence and high technology.

科创氛围对人才引进可持续效能的影响——基于DPSIR-DEA-Malmquist模型及门槛效应分析

人才战略作为长期国策,对国家现代化建设和区域高质量发展具有关键战略意义。高质量人才体系建设的关键,是优化科技创新发展环境,实现人才引进可持续效能的增进。本文利用DPSIR-DEA-Malmquist指数模型,测算了中国2014—2020年间31个省份(因数据缺失,未含港澳台地区)人才引进可持续效能,进而建构门槛模型,实证检验了科创氛围对人才引进可持续效能的影响机制。研究发现:①我国省域人才引进可持续效能稳定展现并不断增强,地域差异在地理与时空层面均呈现明显的收窄现象;②人才引进可持续效能Malmquist指数在技术效率层面的分解呈现“N型”趋势,基本与Malmquist指数变化趋势一致,而技术进步的指数则呈现“M型”相悖走势,说明并不构成人才引进可持续效能提升的上升动力;③科创氛围对人才引进的各阶段作用均通过了技术效率的门槛效应检验。当技术效率跨越1.775阈值后,科创氛围正向影响人才引进可持续效能。因此,转变“重引轻用”的人才使用现状,扩大科创氛围的建设力度,发挥人才引进可持续效能,是扭转人才战略马太效应、推动地域科学发展的关键所在。

Assessment of challenges and strategies for driving energy transitions in emerging markets:A socio-technological systems perspective

The pursuit of improved quality of life standards has significantly influenced the contemporary mining model in the 21st century.This era is witnessing an unprecedented transformation driven by pressing concerns related to sustainability,climate change,the just energy transition,dynamic operating environments,and complex social challenges.Such transitions present both opportunities and obstacles.The aim of this study is to provide an extensive literature review on energy transition to identify the challenges and strategies associated with navigating transformations in energy systems.Understanding these transformations is particularly critical in the face of the severe consequences of global warming,where an accelerated energy transition is viewed as a universal remedy.Adopting a socio-technological systems perspective,specifically through the application of Actor Network Theory(ANT),this research provides a theoretical foundation while categorising challenges into five distinct domains and outlining strategies across these different dimensions.These insights are specifically tailored for emerging market countries to effectively navigate energy transition while fostering the development of resilient societies.Furthermore,our findings highlight that energy transition encompasses more than a mere technological shift;it entails fundamental changes in various systemic socio-economic imperatives.Through focusing on the role of social structures in transitions,this study makes a significant and innovative contribution to ANT,which has historically been criticised for its limited acknowledgement of social structures.Consequently,we propose an emerging market energy transition framework,which not only addresses technological aspects,but also integrates social considerations.This framework paves the way for future research and exploration of energy transition dynamics.The outcomes of this study offer valuable insights to policymakers,researchers,and practitioners engaged in the mining industry,enabling them to comprehend the multifaceted challenges involved and providing practical strategies for effective resolution.Through incorporating the social dimension into the analysis,we enhance the understanding of the complex nature of energy system transformations,facilitating a more holistic approach towards achieving sustainable and resilient energy transitions in emerging markets and beyond.

Voices that matter:The impact of patient-reported outcome measures on clinical decision-making

The critical role of patient-reported outcome measures(PROMs)in enhancing clinical decision-making and promoting patient-centered care has gained a profound significance in scientific research.PROMs encapsulate a patient's health status directly from their perspective,encompassing various domains such as symptom severity,functional status,and overall quality of life.By integrating PROMs into routine clinical practice and research,healthcare providers can achieve a more nuanced understanding of patient experiences and tailor treatments accordingly.The deployment of PROMs supports dynamic patient-provider interactions,fostering better patient engagement and adherence to tre-atment plans.Moreover,PROMs are pivotal in clinical settings for monitoring disease progression and treatment efficacy,particularly in chronic and mental health conditions.However,challenges in implementing PROMs include data collection and management,integration into existing health systems,and acceptance by patients and providers.Overcoming these barriers necessitates technological advancements,policy development,and continuous education to enhance the acceptability and effectiveness of PROMs.The paper concludes with recommendations for future research and policy-making aimed at optimizing the use and impact of PROMs across healthcare settings.

Dyssynchronous heart failure models in canines:New insights into electrocardiographic,echocardiographic and histological features

Background:We investigated the similarities and differences between two experi-mental approaches using tachy-pacing technology to induce desynchronized heart failure in canines.Methods:A total of eight dogs were included in the experiment,four were tachy-paced in right ventricle apex(RVAP)and 4 were paced in right atrium after the ablation of left bundle branch to achieve left bundle branch block(RAP+LBBB).Three weeks of follow-up were conducted to observe the changes in cardiac function and myocar-dial staining was performed at the end of the experiment.Results:Both experimental approaches successfully established heart failure with reduced ejection fraction models,with similar trends in declining cardiac function.The RAP+LBBB group exhibited a prolonged overall ventricular activation time,de-layed left ventricular activation,and lesser impact on the right ventricle.The RVAP approach led to a reduction in overall right ventricular compliance and right ventricu-lar enlargement.The RAP+LBBB group exhibited significant reductions in left heart compliance(LVGLS,%:RAP+LBBB−12.60±0.12 to−5.93±1.25;RVAP−13.28±0.62 to−8.05±0.63,p=0.023;LASct,%:RAP+LBBB−15.75±6.85 to−1.50±1.00;RVAP−15.75±2.87 to−10.05±6.16,p=0.035).Histological examination revealed more pronounced fibrosis in the left ventricular wall and left atrium in the RAP+LBBB group while the RVAP group showed more prominent fibrosis in the right ventricular myocardium. Conclusion : Both approaches establish HFrEF models with comparable trends. The RVAP group shows impaired right ventricular function, while the RAP+LBBB group exhibits more severe decreased compliance and fibrosis in left ventricle.

China’s High-Quality Technology Innovation:Scenario Narrative and Measurement System

The world today is undergoing disruptive,transformative shifts driven by a new wave of technological revolutions and industrial changes.In this context,a central question for China’s innovation-driven development strategy is how to effectively identify and measure high-quality technological innovations.Drawing on the stylized facts and scenario narrative of China’s technological landscape,this paper proposes a framework and measurement system for evaluating high-quality technological innovations.While China’s top-level design for technological innovation is guided by policy documents,the increasing number of enterprises applying for“high-tech enterprise”status has coincided with a decline in the quality of patent filings.In response,this paper first underscores the challenges and necessity of measuring the quality of technological innovations.Second,we introduce the high-quality technological innovation indicators and employ them to assess the quality of tech innovations at the firm level,utilizing an approach that combines analogical narrative,gene coding,text analysis,semantic logic,and a database of granted invention patents in China.Third,we examine the systematic and individual biases inherent in citation counts,a commonly used indicator,under specific contexts,and employ a granular instrumental variable approach to validate the effectiveness of the indicators.Finally,we develop a“family tree”of the indicators and explore their application scenarios through a combination of established and extended indicators.Our findings provide a theoretical foundation for evaluating China’s technological innovation quality,inform policy incentives,and offer insights for academia to apply high-quality technological innovation indicators in different contexts.

Microbiological contamination in IVF laboratories: A narrative review

In vitro fertilization(IVF)is one of the most used assisted reproductive technology(ART)techniques today.However,the success of IVF procedures heavily relies on maintaining a sterile environment in laboratories.This narrative review examines the effects of microbiological contamination in IVF laboratories,exploring its sources,impacts on IVF outcomes,and preventive measures.We conducted a complete literature search using databases such as PubMed and Google Scholar,focusing on studies published within the last fifteen years.Our findings highlight that microbiological contamination can significantly impair embryo quality,reduce implantation and pregnancy rates,and increase the risk of miscarriage and infection.The review also discusses current best practices for contamination prevention and identifies areas for future research.This work emphasizes the critical importance of stringent sterility protocols in IVF laboratories and calls for continued vigilance and innovation in maintaining optimal conditions for assisted reproduction.

Diagnostic value of upper gastrointestinal imaging for duodenal webbing in adults:A case report

BACKGROUND Duodenal web is a rare congenital malformation,exceedingly uncommon in adults,and often misdiagnosed due to the subtle imaging features.CASE SUMMARY By analyzing the clinical diagnosis process and various imaging findings of a patient from our institution,this case report emphasizes the necessity of upper gastrointestinal series in diagnosing duodenal webs,outlines its typical radiographic features,and provides a literature review on the etiology,clinical presentation,and management of this condition.CONCLUSION This case report emphasizes the necessity of upper gastrointestinal series in diagnosing duodenal webs.

Significant Advancements in UAV Technology for Reliable Oil and Gas Pipeline Monitoring

Unmanned aerial vehicles(UAVs)technology is rapidly advancing,offering innovative solutions for various industries,including the critical task of oil and gas pipeline surveillance.However,the limited flight time of conventional UAVs presents a significant challenge to comprehensive and continuous monitoring,which is crucial for maintaining the integrity of pipeline infrastructure.This review paper evaluates methods for extending UAV flight endurance,focusing on their potential application in pipeline inspection.Through an extensive literature review,this study identifies the latest advancements in UAV technology,evaluates their effectiveness,and highlights the existing gaps in achieving prolonged flight operations.Advanced techniques,including artificial intelligence(AI),machine learning(ML),and deep learning(DL),are reviewed for their roles in pipeline monitoring.Notably,DL algorithms like You Only Look Once(YOLO)are explored for autonomous flight in UAV-based inspections,real-time defect detection,such as cracks,corrosion,and leaks,enhancing reliability and accuracy.A vital aspect of this research is the proposed deployment of a hybrid drone design combining lighter-than-air(LTA)and heavier-than-air(HTA)principles,achieving a balance of endurance and maneuverability.LTA vehicles utilize buoyancy to reduce energy consumption,thereby extending flight durations.The paper details the methodology for designing LTA vehicles,presenting an analysis of design parameters that align with the requirements for effective pipeline surveillance.The ongoing work is currently at Technology Readiness Level(TRL)4,where key components have been validated in laboratory conditions,with fabrication and flight testing planned for the next phase.Initial design analysis indicates that LTA configurations could offer significant advantages in flight endurance compared to traditional UAV designs.These findings lay the groundwork for future fabrication and testing phases,which will be critical in validating and assessing the proposed approach’s real-world applicability.By outlining the technical complexities and proposing specialized techniques tailored for pipeline monitoring,this paper provides a foundational framework for advancing UAV capabilities in the oil and gas sector.Researchers and industry practitioners can use this roadmap to further develop UAV-enabled surveillance solutions,aiming to improve the reliability,efficiency,and safety of pipeline monitoring.

Advances in genotypic antimicrobialresistance testing: a comprehensive review

Antimicrobial resistance(AMR)represents a substantial threat to global public health,complicating the treatment of common infections and leading to prolonged illness and escalated healthcare expenses.To effectively combat AMR,timely and accurate detection is crucial for AMR surveillance and individual-based therapy.Phenotypic antibiotic resistance testing(AST)has long been considered the gold standard in clinical applications,serving as the foundation for clinical AMR diagnosis and optimized therapy.It has significantly contributed to ensuring patients′health and the development of novel antimicrobials.Despite advancements in automated culture-based AST technologies,inherent limitations impede the widespread use of phenotypic AST in AMR surveillance.Genotypic AST technologies offer a promising alternative option,exhibiting advantages of rapidity,high sensitivity,and specificity.With the continuous advancement and expanding applications of genotypic AST technologies,such as microfluidics,mass spectrometry,and high-resolution melting curve analysis,new vigor has been injected into the development and clinical implementation of genotypic AST technologies.In this narrative review,we discuss the principles,applications,and advancements of emerging genotypic AST methods in clinical settings.The comprehensive review aims to highlight the significant scientific potential of emerging genotypic AST technologies in clinical AMR diagnosis,providing insights to enhance existing methods and explore novel approaches.

Technological Properties of Improved Pigeon Pea Varieties in Machakos County, Kenya

Pigeon peas, a type of pulse, have immense nutritional potential to improve health in arid and semi-arid regions. However, unlocking this potential relies heavily on understanding their technological properties, such as hydration rate, volumetric expansion, and cooking time. These properties directly influence processing, accessibility, and acceptability as a food source. However, there is limited information on technological properties of improved varieties. The study aimed to determine technological properties of improved pigeon pea varieties grown in Machakos County. Seven improved pigeon peas varieties namely: KARI Mbaazi 1, KARI Mbaazi 2, ICEAP 00850, KAT 60/8, Mituki, Egerton Mbaazi 1, Egerton Mbaazi 2 and ICEAP 00554 (control variety) were used in this study. These varieties were tested for water absorption capacity (WAC), volumetric expansion, density, cooking time (CT) and total soluble solids (TSS) in the broth. The experiment was arranged in a Completely Randomized Design (CRD) replicated three times. Data analysis was conducted using SAS software version 9.1.3 (SAS, 2006). Means separation was done using Tukey’s honestly significant difference (HSD) at 95% Confidence Level. There were significant differences in water absorption capacity (WAC), volumetric expansion, density, TSS, and CT among the improved varieties (p p < 0.05). KARI Mbaazi 2 exhibited the greatest volumetric expansion after cooking (VEAC) at 11%. Additionally, control variety recorded the highest water absorption capacity (125.48%), which was significantly greater compared to the improved pigeon pea varieties. Cooking time in minutes was shortest for Mituki (46.0) and KAT 60/8 (55.7) and longest for both KARI Mbaazi 1 and ICEAP00850 at 160 minutes. All the varieties showed high TSS ranging from 10.5 to 26.7% indicating the potential to select varieties with desired flavour profiles. Improved pigeon pea varieties (Mituki and KAT60/8) displayed desired technological properties alongside the control variety. These findings inform the specific culinary applications and nutritional needs which enhance utilisation of pigeon peas as food. Further research is needed to determine the impact of the technological properties on the digestibility and glycaemic index of pigeon peas.

Two-sided and Heterogeneous Effects of Environmental Regulation on the Technological Innovation Efficiency of Iron and Steel Enterprises in China

In this study,the relationship between environmental regulations and technological innovation efficiencyis empirically examined via panel data from 33 iron and steel enterprises(ISs)in China between 2015 and 2021.The results show that the average“innovation compensation effect”of environmental regulations on the technological innovation efficiency of ISs exceeds the average“compliance cost effect”,thus resulting in a clearly positivenet effect.Both the two-sided effects and the net effects vary across different years,geographical regions,andtypes of property rights.As the quantile of technological innovation efficiency increases,the positive influence ofenvironmental regulations tends to increase.Furthermore,the strengthening of financing constraints and firmcompetitiveness enhances the positive impact of environmental regulations on the technological innovation efficiency of ISs.Additionally,a double-threshold effect of environmental regulations on the technological innovationefficiency of ISs is revealed in this study.The realisation of the Porter hypothesis occurs when financing constraintsand firm competitiveness fall within specific threshold intervals.This research not only deepens our understandingof the relationship between environmental regulations and the technological innovation efficiency of ISs but alsoprovides valuable policy insights for optimising environmental regulations to facilitate targeted improvements in thelevel of technological innovation efficiency.

Surgeon Perspectives on Anastomotic Leaks and FluidAI’s StreamTM Platform: Integrating Qualitative Insights for Technological Innovation

Purpose: This article investigates the critical importance of integrating surgeons’ direct input into the development of innovative technologies that address gaps in surgical care, including those aimed at reducing anastomotic leaks (AL), a major complication in gastrointestinal surgery. While traditional quantitative research methods are prevalent, they often overlook the invaluable insights of the surgeons who manage these complications firsthand. Subjects and Methods: This study employs a qualitative approach, utilizing semi-structured interviews with 40 surgeons from various specialties, including general, bariatric, colorectal, trauma, hepato-biliary, and thoracic surgery. The interviews were designed to probe the needs of surgeons, challenges currently faced, and gaps in clinical practice, research, and technology for detection and/or management of AL. The data were analyzed using thematic analysis, which revealed significant gaps in current technologies for early detection and prevention of leaks. Results: Surgeons expressed strong interest in FluidAI’s Stream™ Platform, a non-invasive medical device designed to monitor postoperative drainage fluid in real-time, providing continuous data on AL risk. The ability of this platform to offer early prediction through pH and electrical conductivity analysis was particularly appealing to participants, who emphasized the importance of timely interventions in improving patient outcomes. The study’s findings highlight not only the clinical challenges but also the emotional toll that AL takes on surgeons, underlining the need for innovations that are both data-driven and humanistic. Conclusion: By centering surgeons’ perspectives, this research advocates for a human-centered approach to technological advancement, ensuring that new tools are both clinically effective and aligned with the real-world needs of surgical practitioners.

An Assessment on the Impact of Technological Addiction on Workplace Productivity: Case of the Public Sector in Zimbabwe

With the increasing integration of technology in modern workplaces, concerns have emerged regarding the addictive nature of technology and its potential consequences on employee productivity. This research aims to investigate the impact of technological addiction on workplace productivity within the public sector of Zimbabwe. The study employed a mixed-methods approach, combining surveys, interviews, and a case study analysis, to examine the prevalence and effects of technological addiction in affecting productivity in the public sector of Zimbabwe. The findings indicate that excessive use of social media, and other digital distractions is a growing concern in the public sector, leading to decreased focus, missed deadlines, and strained teamwork. Factors such as unrestricted internet access, lack of clear usage policies, and inadequate self-regulation contribute to the problem The research outcomes also highlight the need for awareness and interventions to address social media addiction in the workplace, promote healthier technology use, and uphold productivity and employee well-being.

Aiming Far Beyond the Moon--The Third Plenary Session highlights science and technological development

Change is the Chinese moon goddess.Named after her,the Chang'e-6 lunar module returned to Earth this June carrying 1,935.3grams of rocks and dust from the far side of the moon.China's lunar program began as recently as 2007 when Chang'e-I was placed in orbit to create a high resolution 3-D map of the moon's surface.As such,it illustrates China's enviable ability to concentrate its efforts on major tasks.This ability,as Chinese President Xi Jinping has suggested,is one of the major advantages of China's socialist system.