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    New Artificial Intelligence Findings Reported from University of Santiago de Com postela (Engineering Mannose-functionalized Nanostructured Lipid Carriers By Seq uential Design Using Hybrid Artificial Intelligence Tools)

    78-79页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Artificial In telligence have been published. According to news originating from Santiago de C ompostela, Spain, by NewsRx correspondents, research stated, "Nanostructured lip id carriers (NLCs) hold significant promise as drug delivery systems (DDS) owing to their small size and efficient drug-loading capabilities. Surface functional ization of NLCs can facilitate interaction with specific cell receptors, enablin g targeted cell delivery." Funders for this research include Spanish Ministry of Science and Innovation (MC IN/AEI, FEDER, UE), Regional Conselleria de Innovacion Program for the Grupos de Referencia Competitiva of Xunta de Galicia.
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    Study Findings from Guangdong Ocean University Broaden Understanding of Robotics (Light-Weighting and Comparative Simulation Analysis of the Forearm of Welding Robots)

    79-80页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ro botics. According to news reporting originating from Zhanjiang, People's Republi c of China, by NewsRx correspondents, research stated, "The lightweighting of a robotic arm is an important aspect of robot research. In the operation of exist ing welding robots, excessive vibrations in the welding actuators have been obse rved, which lead to reduced welding precision and work efficiency." Financial supporters for this research include Shandong Shui Po Intelligent Equi pment Co., Ltd.; Jinan Nuoyi Laser Equipment Co., Ltd.; National Natural Science Foundation.
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    New Support Vector Machines Findings Reported from Griffith University (Detectio n of Signal Integrity Issues In Vibration Monitoring Using One-class Support Vec tor Machine)

    80-81页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Support Vecto r Machines have been published. According to news reporting originating from Gol d Coast, Australia, by NewsRx correspondents, research stated, "This paper prese nts an analysis of the common signal integrity issues in vibration monitoring ca used by sensor saturation and signal distortion, or sensor loosening and detachm ent, and the development of a method of detecting the occurrence of vibration si gnal integrity issues using a one-class support vector machine. For this, vibrat ion signals with distortions due to sensor saturation and/or sensor detachment a re analysed to determine parameters sensitive to common integrity issues." Financial support for this research came from Griffith University - Gold Coast C ampus.
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    Universite Paris Cite Reports Findings in Machine Learning (Contribution of MALD I-TOF mass spectrometry and machine learning including deep learning techniques for the detection of virulence factors of Clostridioides difficile strains)

    81-82页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating from Paris, Franc e, by NewsRx correspondents, research stated, "Clostridioides difficile (CD) inf ections are defined by toxins A (TcdA) and B (TcdB) along with the binary toxin (CDT). The emergence of the 'hypervirulent' (Hv) strain PR 027, along with PR 17 6 and 181, two decades ago, reshaped CD infection epidemiology in Europe." Our news editors obtained a quote from the research from Universite Paris Cite, "This study assessed MALDI-TOF mass spectrometry (MALDI-TOF MS) combined with ma chine learning (ML) and Deep Learning (DL) to identify toxigenic strains (produc ing TcdA, TcdB with or without CDT) and Hv strains. In total, 201 CD strains wer e analysed, comprising 151 toxigenic (24 ToxABCDT, 22 ToxABCDT Hv and 105 ToxABC DT) and 50 non-toxigenic (ToxAB) strains. The DL-based classifier exhibited a 0. 95 negative predictive value for excluding ToxAB strains, showcasing accuracy in identifying this strain category. Sensitivity in correctly identifying ToxABCDT strains ranged from 0.68 to 0.91. Additionally, all classifiers consistently de monstrated high specificity (>0.96) in detecting ToxABCD T strains. The classifiers' performances for Hv strain detection were linked to high specificity ( 0.96). This study highlights MALDI-TOF MS enhanced by ML tech niques as a rapid and cost-effective tool for identifying CD strain virulence fa ctors."
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    Researchers from University of Mataram Discuss Findings in Artificial Intelligen ce (The Influence of Technological Knowledge and Digital Skills on Accounting St udents' Readiness to Face Artificial Intelligence Technology)

    82-83页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting originating from Mataram, Indonesi a, by NewsRx correspondents, research stated, "In the face of the era of digital technological advancement, accounting students must prepare themselves and have competence in the field of accounting technology, even though this raises vario us concerns regarding the future of accountants and the possibility of them bein g replaced by AI." The news reporters obtained a quote from the research from University of Mataram : "This research aims to examine the influence of technology knowledge and digit al skills on the readiness of accounting students to face artificial intelligenc e technology. The data source used was primary data collected online through Goo gle Forms using purposive sampling method. The population of this study sampled 286 respondents, namely active undergraduate accounting students in Indonesia. T he research technique used is Structural Equation Modeling (SEM) based on the Pa rtial Least Squares (PLS) analysis tool version 4.0. The results indicate that t he variables of technology knowledge and digital skills have a positive and sign ificant influence on the readiness of accounting students to face artificial int elligence technology in the era of digital technology disruption."
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    Findings from Massachusetts Institute of Technology Provide New Insights into Ma chine Learning (Calibration-free Reaction Yield Quantification By Hplc With a Ma chine-learning Model of Extinction Coefficients)

    83-84页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news originating from Cambridge, Massachusetts, by News Rx correspondents, research stated, "Reaction optimization and characterization depend on reliable measures of reaction yield, often measured by high-performanc e liquid chromatography (HPLC). Peak areas in HPLC chromatograms are correlated to analyte concentrations by way of calibration standards, typically pure sample s of known concentration." Funders for this research include Defense Advanced Research Projects Agency (DAR PA), DARPA Accelerated Molecular Discovery, MIT Machine Learning for Pharmaceuti cal Discovery and Synthesis (MLPDS) consortium. Our news journalists obtained a quote from the research from the Massachusetts I nstitute of Technology, "Preparing the pure material required for calibration ru ns can be tedious for low-yielding reactions and technically challenging at smal l reaction scales. Herein, we present a method to quantify the yield of reaction s by HPLC without needing to isolate the product(s) by combining a machine learn ing model for molar extinction coefficient estimation, and both UV-vis absorptio n and mass spectra. We demonstrate the method for a variety of reactions importa nt in medicinal and process chemistry, including amide couplings, palladium cata lyzed cross-couplings, nucleophilic aromatic substitutions, aminations, and hete rocycle syntheses. The reactions were all performed using an automated synthesis and isolation platform. Calibration-free methods such as the presented approach are necessary for such automated platforms to be able to discover, characterize , and optimize reactions automatically."
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    Federal University of Bahia Researcher Releases New Data on Robotics (Analysis a nd Construction of Hardware Accelerators for Calculating the Shortest Path in Re al-Time Robot Route Planning)

    84-85页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on robotics are presented i n a new report. According to news reporting out of Salvador, Brazil, by NewsRx e ditors, research stated, "This study introduces an optimization approach for cal culating the shortest path in mobile robot route planning." Our news editors obtained a quote from the research from Federal University of B ahia: "The proposed solution targets real-time processing requirements by offeri ng a high-performance alternative. This is achieved by embedding in the dedicate d hardware an architecture which emphasizes parallelism. Through improvements in parallel exploration techniques, our solution aims to present not only a boost in performance but also a dynamic adaptation to graph changes, accommodating ran domly occurring edge insertions or deletions as environmental conditions fluctua te. We present the developed architecture alongside its results."
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    Robert Koch Institute Reports Findings in Machine Learning (Interpretable molecu lar encodings and representations for machine learning tasks)

    85-85页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting out of Berlin, Germany, by Ne wsRx editors, research stated, "Molecular encodings and their usage in machine l earning models have demonstrated significant breakthroughs in biomedical applica tions, particularly in the classification of peptides and proteins. To this end, we propose a new encoding method: Interpretable Carbon-based Array of Neighborh oods (iCAN)." Our news journalists obtained a quote from the research from Robert Koch Institu te, "Designed to address machine learning models' need for more structured and l ess flexible input, it captures the neighborhoods of carbon atoms in a counting array and improves the utility of the resulting encodings for machine learning m odels. The iCAN method provides interpretable molecular encodings and representa tions, enabling the comparison of molecular neighborhoods, identification of rep eating patterns, and visualization of relevance heat maps for a given data set. When reproducing a large biomedical peptide classification study, it outperforms its predecessor encoding. When extended to proteins, it outperforms a lead stru cture-based encoding on 71% of the data sets. Our method offers in terpretable encodings that can be applied to all organic molecules, including ex otic amino acids, cyclic peptides, and larger proteins, making it highly versati le across various domains and data sets."
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    Study Findings on Robotics Are Outlined in Reports from University of Electro-Co mmunications (Origami manipulation by robot hand utilizing electroadhesion)

    86-86页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in robotics. According to news reporting out of the University of Electro-Communica tions by NewsRx editors, research stated, "This study presents strategies for th e three fundamental origami operations of grasping, bending, and folding using a novel robot hand and simple motions." The news editors obtained a quote from the research from University of Electro-C ommunications: "These operations are executed using a simple geometric model and without any visual feedback or physical modeling not to restrict the motions. W ith a few applications in the field of paper manipulation, the electroadhesion t echnology is employed to perform single hand grasping. Bending is realized by a single hand utilizing the elasticity of origami and friction. Folding is perform ed by holding an origami with more than two points to fix it at any moment for p reciseness."
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    Patent Application Titled 'Multifactorical, Machine-Learning Based Prioritizatio n Framework For Optimizing Patient Placement' Published Online (USPTO 2024018599 3)

    86-90页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Day, Andrew (Newtown, PA, US); Rai, Savanoor (Naperville, IL, US); Thomas, Bex George (Laguna Niguel, CA, US), filed on February 14, 2024, was made availa ble online on June 6, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Bed management is closely involved with all phases of patient stay at an inpatient medical facility. As patients with similar care requiremen ts are admitted to the hospital from various hospital entry points, patient plac ements in turn will affect patient care and bed availability. Bed managers must allow best possible patient care while balancing the allocation of beds to preve nt delays in care. Prioritization of patients and management of beds especially during periods of high census where there is competing demand is extremely impor tant. Managing bed assignments is thus a critical function for patient care, red ucing delays and optimizing system capacity. However, in practice, bed managemen t is characterized by bed managers finding and firefighting crises as they occur , relying primarily on clinical knowledge, intuition, and experience."
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