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    Tongde Hospital Zhejiang Province Reports Findings in Osteoporosis (A Machine Le arning Framework for Screening Plasma Cell- Associated Feature Genes to Estimate Osteoporosis Risk and Treatment Vulnerability)

    78-79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 Musculoskeletal Diseas es and Conditions - Osteoporosis is the subject of a report. According to news o riginating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Osteoporosis, in which bones become fragile owing to low bone density and impaired bone mass, is a global public health concern. Bone mineral density (BMD) has been extensively evaluated for the diagnosis of low bone mass and osteoporosis.” Our news journalists obtained a quote from the research from Tongde Hospital Zhe jiang Province, “Circulating monocytes play an indispensable role in bone destru ction and remodeling. This work proposed a machine learning-based framework to i nvestigate the impact of circulating monocyte-associated genes on bone loss in o steoporosis patients. Females with discordant BMD levels were included in the GS E56815, GSE7158, GSE7429, and GSE62402 datasets. Circulating monocyte types were quantified via CIBERSORT, with subsequent selection of plasma cell-associated D EGs. Generalized linear models, random forests, extreme gradient boosting (XGB), and support vector machines were adopted for feature selection. Artificial neur al networks and nomograms were subsequently constructed for osteoporosis diagnos is, and the molecular machinery underlying the identified genes was explored. SV M outperformed the other tuned models; thus, the expression of several genes (DE FA4, HLA-DPB1, LCN2, HP, and GAS7) associated with osteoporosis were determined. ANNs and nomograms were proposed to robustly distinguish low and high BMDs and estimate the risk of osteoporosis. Clozapine, aspirin, pyridoxine, etc. were ide ntified as possible treatment agents. The expression of these genes is extensive ly posttranscriptionally regulated by miRNAs and mA modifications. Additionally, they participate in modulating key signaling pathways, e.g., autophagy.”
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    New Androids Data Have Been Reported by Researchers at University of Florence (F rom the Definition To the Automatic Assessment of Engagement In Human-robot Inte raction: a Systematic Review)

    79-80页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Androids h ave been presented. According to news reporting originating from Florence, Italy , by NewsRx correspondents, research stated, “The concept of engagement is widel y adopted in the human-robot interaction (HRI) field, as a core social phenomeno n in the interaction. Despite the wide usage of the term, the meaning of this co ncept is still characterized by great vagueness.” Financial support for this research came from Ministero dell’Universit e della R icerca. Our news editors obtained a quote from the research from the University of Flore nce, “A common approach is to evaluate it through self-reports and observational grids. While the former solution suffers from a time-discrepancy problem, since the perceived engagement is evaluated at the end of the interaction, the latter solution may be affected by the subjectivity of the observers. From the perspec tive of developing socially intelligent robots that autonomously adapt their beh aviors during the interaction, replicating the ability to properly detect engage ment represents a challenge in the social robotics community. This systematic re view investigates the conceptualization of engagement, starting with the works t hat attempted to automatically detect it in interactions involving robots and re al users (i.e., online surveys are excluded). The goal is to describe the most w orthwhile research efforts and to outline the commonly adopted definitions (whic h define the authors’ perspective on the topic) and their connection with the me thodology used for the assessment (if any). The research was conducted within tw o databases (Web of Science and Scopus) between November 2009 and January 2023. A total of 590 articles were found in the initial search. Thanks to an accurate definition of the exclusion criteria, the most relevant papers on automatic enga gement detection and assessment in HRI were identified. Finally, 28 papers were fully evaluated and included in this review. The analysis illustrates that the e ngagement detection task is mostly addressed as a binary or multi-class classifi cation problem, considering user behavioral cues and context-based features extr acted from recorded data.”
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    Study Findings from Reutlingen University Provide New Insights into Robotics (Ho w To Conduct Successful Business Process Automation Projects? an Analysis of Key Factors In the Context of Robotic Process Automation)

    80-81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 Robotics is now availab le. According to news reporting originating in Reutlingen, Germany, by NewsRx jo urnalists, research stated, “PurposeIn recent years, the robotic process automat ion (RPA) technology, a software-based method to automate routine tasks in busin ess processes, has gained significant interest and adoption. However, many imple mentation projects fail and current literature lacks a synthesis and comprehensi ve overview of factors that challenge the implementation of RPA, have an impact on success or failure of projects, or, play an enabling role in an RPA project.”
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    Department of Surgery Reports Findings in Robotics (Natural history and surgical treatment of a giant colonic diverticulum: A case report)

    81-81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 Robotics is the subjec t of a report. According to news reporting originating in Greensburg, Pennsylvan ia, by NewsRx editors, the research stated, “While diverticular disease is preva lent in the West, the formation of giant colonic diverticula is rare. To date, a pproximately 200 cases have been reported, with only a handful treated surgicall y using a minimally invasive approach.” The news reporters obtained a quote from the research from the Department of Sur gery, “Furthermore, the natural history of giant colonic diverticula is not well documented. This report describes the case of a 66-year-old man who developed a giant colonic diverticulum with primary symptoms including dull and chronic pai n in the right lower quadrant at presentation. The patient had undergone several computed tomography scans of the abdomen and pelvis over the previous two years , through which the natural history of this rare entity could be retrospectively observed. The patient was successfully treated with a robot-assisted sigmoid co lectomy and had an uneventful recovery with resolution of symptoms during the fo llow-up.”
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    New Machine Learning Research Reported from Los Alamos National Laboratory (Deep learning with mixup augmentation for improved pore detection during additive ma nufacturing)

    82-82页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of the Los Alamos Nation al Laboratory by NewsRx editors, research stated, “In additive manufacturing (AM ), process defects such as keyhole pores are difficult to anticipate, affecting the quality and integrity of the AM-produced materials. Hence, considerable effo rts have aimed to predict these process defects by training machine learning (ML ) models using passive measurements such as acoustic emissions.” Financial supporters for this research include Lanl Ldrd; Office of Science; Ems l, Pnnl; Nsf; Llnl.
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    Yangtze University Reports Findings in Breast Cancer (Validating linalool as a p otential drug for breast cancer treatment based on machine learning and molecula r docking)

    83-84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 Oncology - Breast Canc er is the subject of a report. According to news reporting originating in Jingzh ou, People’s Republic of China, by NewsRx journalists, research stated, “Breast cancer (BC) is a common cancer for women. This study aims to construct a prognos tic risk model of BC and identify prognostic biomarkers through machine learning approaches, and clarify the mechanism by which linalool exerts tumor-suppressiv e function.” The news reporters obtained a quote from the research from Yangtze University, “ Three mRNA microarray/RNA sequencing data sets (GSE25055, GSE103091, and TCGA-BR CA) were obtained from Gene Expression Omnibus database and The Cancer Genome At las database, and prognostic genes were obtained by univariate COX analysis. Mul tiple machine learning methods were used to screen core genes and construct prog nostic risk models. The enrichment analysis of crucial genes was analyzed using the DAVID database. UALCAN, human protein atlas, geneMANIA, and LinkedOmics data bases were used to analyze gene expression and co-expressed genes. Molecular doc king and molecular dynamics simulation was applied to verify the binding affinit y between linalool and phosphoglycerate kinase 1 (PGK1). Cell counting kit 8 (CC K-8, Edu, transwell, flow cytometry, and Western blot assay were used to analyze cell activity, apoptosis, cell cycle and protein expression. Eight prognostic g enes were obtained by bioinformatics analysis and machine learning, and prognost ic risk models were constructed. This model could well predict the prognosis of patients, and the risk score could be used as an independent risk factor for BC. Overall survival (OS) and immune cell infiltration characteristics were distinc t between high and low risk groups. PGK1 was highly expressed in BC and the OS o f patients with high PGK1 expression was shorter. PGK1 was related to cell cycle and PPAR signaling pathway. Linalool and PGK1 had good binding activity, and li nalool could inhibit the viability, proliferation, migration, and invasion of BC cells, promote cell apoptosis, and induce G0/G1 arrest. In addition, linalool c an promote PPARg protein expression and inhibit PGK1 expression.”
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    Ural Federal University Researcher Publishes New Data on Machine Translation (As sessing The Quality of Automated Translation in The Metallurgical Industry)

    84-84页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on machine translati on have been published. According to news reporting out of Ural Federal Universi ty by NewsRx editors, research stated, “With the continuous increase in the volu me of information circulating within the industrial sector, the problem of infor mation processing is becoming increasingly apparent.” The news editors obtained a quote from the research from Ural Federal University : “The rapid development of international cooperation is causing an increase in the workload of employees involved in translation of foreign documents. The meta llurgical industry is abound in terms and specialized vocabulary, and therefore, the implementation of machine translation systems to deal with technical texts in this sphere requires thorough preparation. The need to reduce the time requir ed to edit a translated text and improve its quality is the main reason for sear ching for the optimal service that provides online translation services for tech nical texts. The current research is focused on the analysis of existing transla tion systems in order to identify the most suitable one for translating technica l documentation in the metallurgical industry. Special attention is paid to the assessment of the quality of the automated translation of the terms from the Rus sian language to the English language.”
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    Study Data from Kepler University Hospital GmbH Update Knowledge of Machine Lear ning (Continuous Detection of Stimulus Brightness Differences Using Visual Evoke d Potentials in Healthy Volunteers with Closed Eyes)

    85-85页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news originating from Linz, Austria, by NewsRx correspondents, research stated, “Background/Objectives: We defined the value o f a machine learning algorithm to distinguish between the EEG response to no lig ht or any light stimulations, and between light stimulations with different brig htnesses in awake volunteers with closed eyelids. This new method utilizing EEG analysis is visionary in the understanding of visual signal processing and will facilitate the deepening of our knowledge concerning anesthetic research.”
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    University of Manchester Reports Findings in Machine Learning (Machine learning- aided engineering of a cytochrome P450 for optimal bioconversion of lignin fragm ents)

    86-86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 Manchester, United Kin gdom, by NewsRx editors, research stated, “Using machine learning, molecular dyn amics simulations, and density functional theory calculations we gain insight in to the selectivity patterns of substrate activation by the cytochromes P450. In nature, the reactions catalyzed by the P450s lead to the biodegradation of xenob iotics, but recent work has shown that fungi utilize P450s for the activation of lignin fragments, such as monomer and dimer units.” Financial support for this research came from Fundacao de Amparo a Pesquisa do E stado de Sao Paulo.
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    Reports Summarize Machine Learning Study Results from Joint Institute for Nuclea r Research (Integrating Machine Learning With A-sas for Enhanced Structural Anal ysis In Small-angle Scattering: Applications In Biological and Artificial ...)

    87-87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 Machine Learn ing have been published. According to news reporting originating from Moscow Reg ion, Russia, by NewsRx editors, the research stated, “Small-Angle Scattering (SA S), encompassing both X-ray (SAXS) and Neutron (SANS) techniques, is a crucial t ool for structural analysis at the nanoscale, particularly in the realm of biolo gical macromolecules. This paper explores the intricacies of SAS, emphasizing it s application in studying complex biological systems and the challenges associat ed with sample preparation and data analysis.”
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