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    Fudan University Reports Findings in Age-Related Macular Degeneration(Serum met abolite biomarkers for the early diagnosis andmonitoring of age-related macular degeneration)

    50-51页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Eye Diseases and Condi tions - Age-Related Macular Degenerationis the subject of a report. According t o news reporting out of Shanghai, People’s Republic of China,by NewsRx editors, research stated, “Age-related macular degeneration (AMD) is a leading cause of irreversibleblindness worldwide, with significant challenges for early diagnosi s and treatment. To identifynew biomarkers that are important for the early dia gnosis and monitoring of the severity/progression ofAMD.”Our news journalists obtained a quote from the research from Fudan University, “ We investigatedthe diagnostic and monitoring potential of blood metabolites in a cohort of 547 individuals (167 healthycontrols, 240 individuals with other ey e diseases as eye disease controls, and 140 individuals with AMD)from 2 centers over three phases: discovery phase 1, discovery phase 2, and an external valida tion phase.The samples were analyzed via a mass spectrometry-based, widely targ eted metabolomic workflow. Indiscovery phases 1 and 2, we built a machine learn ing algorithm to predict the probability of AMD. In theexternal validation phas e, we further confirmed the performance of the biomarker panel identified by thealgorithm. We subsequently evaluated the performance of the identified biomarke r panel in monitoring theprogression and severity of AMD. We developed a clinic ally specific three-metabolite panel (hypoxanthine,2-furoylglycine, and 1-hexad ecyl-2-azelaoyl-sn-glycero-3-phosphocholine) via five machine learning models.T he random forest model effectively discriminated patients with AMD from patents in the other two groupsand showed acceptable calibration (area under the curve (AUC) = 1.0; accuracy = 1.0) in both discoveryphases 1 and 2. An independent va lidation phase confirmed the diagnostic model’s efficacy (AUC = 0.962;accuracy = 0.88). The three-biomarker panel model demonstrated an AUC of 1.0 in different iating theseverity of AMD via RF machine learning, which was consistent across both the discovery and externalvalidation phases. Additionally, the biomarker c oncentrations remained stable under repeated freeze-thawcycles (P > 0.05).”
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    Research from Toyohashi University of Technology in Robotics ProvidesNew Insigh ts (A Suspended Pollination Robot With a FlexibleMulti-Degrees-of-Freedom Manip ulator for Self-Pollinated Plants)

    50-50页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news reportingoriginating from Toyohashi, Japan, b y NewsRx correspondents, research stated, “Pollination is an essentialcomponent of plant production, but today, agricultural fields suffer from a shortage of n atural pollinatorsdue to a variety of factors.”Funders for this research include Japan Society For The Promotion of Science (Js ps) Kakenhi.The news reporters obtained a quote from the research from Toyohashi University of Technology:“To solve this serious problem, artificial pollination has been i ntroduced. Robotic pollinators not onlyhelp farmers with a more cost-effective and stable pollination method but also help in crop production inenvironments t hat are not suited for natural pollinators, such as greenhouses. In this paper, we proposea suspended pollination robot that moves along the rail laid on the r oof of greenhouses. This robot hasa flexible multi-degrees-of-freedom manipulat or with two actuators: a retractable linear actuator controlsthe end effector w ith a blower to approach the flower, and a tendon-driven continuum actuator chan gesthe orientation of the end effector. After a flower is designated by a persp ective camera and close-upcamera, the end effector blows the wind to shake the flower. Field tests are conducted by manual controlto assess the fruit set rate of tomatoes, one of the well-known self-pollinated plants.”
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    Study Findings on Machine Learning Detailed by Researchers atEuropean Space Age ncy (PAseos Simulates the Environment forOperating Multiple Spacecraft)

    52-52页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to news originatingfrom Noordwijk, Netherland s, by NewsRx editors, the research stated, “The next generation ofspacecraft te chnology is anticipated to enable novel applications, including onboard processi ng, machinelearning, and decentralized operational scenarios. Although several of these applications have been previouslyinvestigated, the real-world operatio nal limitations associated with actual mission scenarios havebeen only superfic ially addressed.”Financial supporters for this research include Vinnova; Vinutha Magal Shreenath.The news reporters obtained a quote from the research from European Space Agency : “Here, we presentan open-source Python module called PASEOS, capable of model ing operational scenarios involving oneor multiple spacecraft. It considers sev eral physical phenomena, including thermal, power, bandwidth, andcommunications constraints, and the impact of radiation on spacecraft. PASEOS can be run as a highperformance-oriented numerical simulation and/or in a real-time mode on edg e hardware. We demonstratethese capabilities in three scenarios: one in real-ti me simulation on a Unibap iX-10 100 satellite processor,another in a simulation modeling an entire constellation performing tasks over several hours, and one training a machine learning model in a decentralized setting. While we demonstrat e tasks in Earth orbit,PASEOS also allows deep space scenarios. Our results sho w that PASEOS can model the describedscenarios efficiently and thus provide ins ight into operational considerations. We show this by measuringruntime and over head as well as by investigating the constellation’s modeled temperature, batter y status,and communication windows. By running PASEOS on an actual satellite pr ocessor, we showcase howPASEOS can be directly included in hardware demonstrato rs for future missions.”
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    Jiangsu University Reports Findings in Support Vector Machines(Production monit oring and quality characterization of black garlicusing Vis-NIR hyperspectral i maging integrated with chemometricsstrategies)

    53-53页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. According tonews reporting from Zhenjiang, People ’s Republic of China, by NewsRx journalists, research stated, “As anew deep-pro cessing garlic product with notable health benefits, the accurate discrimination of processingstages and prediction of key physicochemical constituents in blac k garlic are vital for maintaining productquality. This study proposed a novel method utilizing hyperspectral imaging technology to both rapidlymonitor the pr ocessing stages and quantitatively predict changes in the key physicochemical co nstituentsduring black garlic processing.”The news correspondents obtained a quote from the research from Jiangsu Universi ty, “Multiplemethods of noise reduction and feature screening were used to proc ess the acquired hyperspectral information.To differentiate processing stages, pattern recognition methods including linear discriminantanalysis (LDA), K-near est neighbor (KNN), support vector machine classification (SVC) analysis were utilized, achieving a discriminant accuracy of up to 98.46 %. Further more, partial least squares regression(PLSR) and support vector machine regress ion (SVR) analysis were performed to achieve quantitativeprediction of the key physicochemical constituents including moisture and 5-HMF. PLSR models outperformed SVR models, with correlation coefficient of prediction of 0.9762 and 0.9744 for moisture and 5-HMFcontent, respectively.”
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    Xinxiang Medical University Researchers Describe Advances in MachineLearning (E nhancing the convenience of frailty index assessmentfor elderly Chinese people with machine learning methods)

    54-54页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingout of Xinxiang Medical Uni versity by NewsRx editors, research stated, “Frailty is a state that is closelyassociated with adverse health outcomes in the aging process. The frailty index (FI), which measuresfrailty in terms of cumulative deficits, has been widely us ed for frailty assessment in elderly people, and itsadvantage of self-reported information collection makes it applicable to a broader group of elderly people.”Financial supporters for this research include National Natural Sciences Foundat ion of China.Our news editors obtained a quote from the research from Xinxiang Medical Univer sity: “Our studyaims to simplify the Frailty Index Assessment Scale, while main taining its reliability and accuracy, toeasily and quickly assess frailty in el derly people. In this study, participants (age 65 years) from theChinese Longit udinal Healthy Longevity Survey (CLHLS), which had 13,339, 372 and 1214 particip antsin 2008, 2011, and 2014, respectively, were used. The 2008 dataset was spli t into 80% for training and20% for internal validat ion, and the data from 2011 to 2014 as external validation. In order to obtaine ffective predictors, we used Lasso regression, Boruta algorithm and random fores t classifier score forfeature selection. We used six models for predictive mode l construction and evaluated the models inthe validation dataset. Model perform ance was measured by area under the curve (AUC), accuracy andF1 score. Logistic regression was found to be the best performing and most interpretable algorithm withAUC, accuracy and F1 of 0.974, 0.932 and 0.880 for the validation dataset, respectively. The AUCs for theexternal independent validation dataset were 0.9 63 and 0.977, respectively. Subgroup analysis showed thatthe model had good pre dictive power in both males and females. The predictive power was stronger amongthe elderly people over 80 years old, with AUC, accuracy and F1 of 0.973,0.914, and 0.893, respectively.The model also obtained good predictive power in the c ase of FI measured by different indicators. Themodel showed good robustness in the follow-up assessment of frailty status in elderly people, with the AUCremai ning above 0.95 and accuracy above 0.9 over the long-term follow-up.”
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    Universiti Sultan Zainal Abidin Reports Findings in Robotics (Breakinginto the black box of customer perception towards robot service:Empirical evidence from service sector)

    55-55页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating in Terengganu, Malaysia, by NewsRx journalists, research stated, “The advent of artificialintelligence a nd machine learning has enabled robots to serve in consumer market for a better customerexperience. Nevertheless, acceptance of robotic technology among consum ers is still lacking.”The news reporters obtained a quote from the research from Universiti Sultan Zai nal Abidin, “Therefore,this study has developed an integrated model with robot appearance, expectation confirmation model,diffusion of innovation and theory o f planned behavior and empirically investigates customer intention to useservic e robot. The research model is empirically tested with 349 responses retrieved f rom customers visitingretail stores. Statistical results have revealed that cus tomer innovativeness, compatibility, behavioralcontrol, expectation confirmatio n, service robot appearance and subjective norms explained 80.1 % variancein customer attitude to use service robot. Practically, this research h as suggested that policy makers shouldpay attention in innovativeness, compatib ility, perceived behavioral control, expectation confirmation,robot appearance and subjective norms to boost robot service acceptance among customers. This stu dyis original as it develops an integrated model with the combination robot app earance, theory of plannedbehavior, expectation confirmation and diffusion of i nnovation theory.”
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    Research Results from Husson University Update Understanding ofArtificial Intel ligence (Artificial Intelligence in Human Growth andDevelopment: Applications T hrough the Lifespan)

    55-56页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According tonews reporting originating from Ban gor, Maine, by NewsRx correspondents, research stated, “Artificialintelligence (AI) applications influence human growth and development across the lifespan.”The news correspondents obtained a quote from the research from Husson Universit y: “This articleprovides a conceptual model that shows significant AI applicati ons and their influence from prenatal tomaturity using Erikson’s psychosocial s tages as a framework. AI influences development through diverseavenues, encompa ssing diagnosis, attachment formation, social skill acquisition, relationship dy namics,and caregiver support.”According to the news reporters, the research concluded: “The effects of AI inte rventions can beperceived as advantageous, contentious, and as raising a multit ude of ethical considerations. Consequently,we propose avenues for future resea rch endeavors to further investigate the intersection of AI and humangrowth and development within counseling contexts.”
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    Reports Outline Robotics Study Results from Xi’an Polytechnic University(A Wall Climbing Robot Based On Machine Vision for AutomaticWelding Seam Inspection)

    56-57页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting out of Xi’an,People’s Republic of China, by NewsRx editors, research stated, “With the ongoing progress of industrialtechn ology such as shipbuilding, the importance of weld quality in industrial product ion is becomingincreasingly prominent. Intelligent and automated welding seam i nspection robots are more efficient thantraditional manual inspection and can a void dangerous accidents.”Financial supporters for this research include Shaanxi Provincial Department of Education Key ScientificResearch Project, Graduate Innovation Fund Project of X i’an Polytechnic University.Our news journalists obtained a quote from the research from Xi’an Polytechnic U niversity, “This articledescribes the design of a welding seam inspection robot suitable for high-altitude ship operation. The robotuses machine vision and ob ject segmentation models to automatically detect the position of welding seams,and uses a cubic polynomial to fit the welding seam path. The upper and lower co mputers of the robotcommunicate through WIFI transmission and TCP protocol, whi ch can realize remote real-time detectionof weld surface defects. In addition, this article designs a permanent magnet adsorption structure for robothigh-alti tude wall climbing, which has been verified through simulation and experimental verification. Toverify the intelligence of the robot, this paper conducted perf ormance analysis experiments on weld linerecognition and tracking models and su rface defect models. The experimental results showed that theaverage detection accuracy of the weld line recognition and tracking algorithm was 96.8% , and the averagedetection accuracy of surface defects in the three types of we lds was 94.2%.”
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    Studies from Shanghai Jiao Tong University in the Area of ArtificialIntelligenc e Reported (Next-generation Generalist Energy ArtificialIntelligence for Naviga ting Smart Energy)

    57-58页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Artificial In telligence have been published. According to newsoriginating from Shanghai, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Therapid a dvancement of highly flexible and reliable artificial intelligence (AI) holds th e promise of unlockingtransformative capabilities in response to imminent energ y and environmental challenges. Toward futureenergy, we propose this perspectiv e and introduce a groundbreaking paradigm for a versatile energy AI,termed arti ficial general intelligence for energy (AGIE).”Financial supporters for this research include National Natural Science Foundati on of China (NSFC),National Key R&D Program of China.Our news journalists obtained a quote from the research from Shanghai Jiao Tong University, “AGIE isdesigned to address a spectrum of energy-related issues wit h flexibility, drawing upon information such asenergy parameters, equipment ima ges, and expert voice feedback. The applications of AGIE are diverse,ranging fr om energy diagnostics and operational optimization to offering advice on energy policies. Byincorporating human-in-the-loop interactions and leveraging domain knowledge, AGIE has the capacity toassimilate the habits of energy users. Throu gh continuous reinforcement learning, it aspires to establisha new paradigm of explainable reasoning, paving the way for the development of credible energy rob otswith attributes similar to human understanding. We anticipate that AGIE-enab led applications will lead tonew approaches in energy usage and the considerati on of serious technical and societal challenges rangingfrom data integration to privacy and security concerns, environmental impacts, and constraints in hardware and software.”
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    Study Findings from Miguel Hernandez University Broaden Understandingof Artific ial Intelligence (Using Artificial Intelligence-Based Tools to Improve the Liter ature Review Process: Pilot Testwith the Topic 'Hybrid Meat Products')

    58-59页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Orihuela, Spai n, by NewsRx correspondents, research stated, “Conducting a literaturereview is a mandatory initial stage in scientific research on a specific topic.”The news reporters obtained a quote from the research from Miguel Hernandez Univ ersity: “However,this task is becoming much more complicated in certain areas ( such as food science and technology) dueto the huge increase in the number of s cientific publications. Different tools based on artificial intelligencecould b e very useful for this purpose. This paper addresses this challenge by developin g and checkingdifferent tools applicated to an emerging topic in food science a nd technology: “hybrid meat products”.The first tool to be applied was based on Natural Language Processing and was used to select and reducethe initial numbe r of papers obtained from a traditional bibliographic search (using common scien tificdatabases such as Web Science and Scopus) from 938 to 178 (a 87% reduction).”
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