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 Al-Iraqia University by NewsRx correspondents, research stated, "Bagging constitutes a prominent ensembl e learning technique in contemporary machine learning." The news reporters obtained a quote from the research from Al-Iraqia University: "With this process, various instances of the base model are trained using vario us subsets of the training data that are extracted by bootstrapping. The resulti ng models are then aggregated, often through voting in a classification problem, to enhance performance and predictive power. Recent advances in bagging techniq ues include variants such as Random Forests, which introduce additional randomne ss by selecting a random subset of features in each partition and boosting algor ithms that iteratively optimize the model's focus on misclassified instances. Th e efficacy of these strategies in enhancing the generality and adaptability of m achine learning models has been impressive. There are many studies that confirm the ability of ensemble learning models to detect phishing attacks. However, the techniques used by these models that have enhanced their detection capabilities have not been highlighted."
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 out of Sikkim, India, by Ne wsRx editors, research stated, "Rainfall plays a vital role in the field of agri culture as it affects agricultural production and associated economy. However, t he changing trend of rainfall has become a global concern." Our news journalists obtained a quote from the research from Central Agricultura l University, "So the study of changes in the trend of rainfall is necessary. In the present study, an innovative trend analysis method was adopted to assess th e changing trend in the state of Nagaland. Data of 40 years was taken for perfor ming the trend analysis using ITA. The entire process of trend change analysis w as automated using Python programming. The analysis indicated that out of the 11 stations considered, three stations indicated a rising trend, eight indicated f alling trends (annual), four rising and seven falling (monsoon), 0 rising and 11 falling (winter). The extent of trend change varied from -34.5 to 1.1. The spat ial distribution of the trend change was also performed. It was observed that th e southeast part of Nagaland's rising trend was more pronounced compared to the southwest. The change was more prominent during the winter season followed by pr e-monsoon and monsoon."
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 Robotics have been published. According to news reporting originating in Nanjing, People's Re public of China, by NewsRx journalists, research stated, "Computational thinking (CT) is crucial for students. Robot-supported learning has emerged as a popular approach for CT cultivation." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Humanities and Social Sciences Program of the Ministry of Ed ucation, Philosophy and Social Science Research project of Jiangsu Higher Educat ion, The 14th Five -Year Plan of Jiangsu Provincial Education Science.
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 new report. According to news originating from Tokyo, Japan, by NewsRx co rrespondents, research stated, "Cable robots have been used as haptic interfaces for several decades now, with the most notable examples being the SPIDAR and it s numerous iterations throughout the years, as well as the more recent IPAnema 3 Mini manufactured by Fraunhofer IPA." Funders for this research include Japan Society For The Promotion of Science. The news editors obtained a quote from the research from Tokyo Denki University: "However, these robots still have drawbacks, particularly their high number of cables required to maintain a high workspaceto- installation-space ratio. Using a hybrid structure cable robot (HSCR) could prevent some collisions that occur b etween the cables and the user's body. More specifically, some applications requ iring multimodal feedback could benefit from the flexibility that a reduced numb er of cables offers. Therefore, this paper presents a novel SPIDAR-like HSCR and its sensor-less force control method based on motor current. The purpose of thi s work is to clarify the advantages that a variable-structure can provide for ha ptic interaction. In this regard, experimental results regarding the device's wo rkspace and its force feedback capabilities are presented."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Ifrane, Morocco , by NewsRx editors, research stated, "Glioblastoma, characterized as a grade 4 astrocytoma, stands out as the most aggressive brain tumor, often leading to dir e outcomes. The challenge of treating glioblastoma is exacerbated by the converg ence of genetic mutations and disruptions in gene expression, driven by alterati ons in epigenetic mechanisms." Our news journalists obtained a quote from the research from Al Akhawayn Univers ity, "The integration of artificial intelligence, inclusive of machine learning algorithms, has emerged as an indispensable asset in medical analyses. AI is bec oming a necessary tool in medicine and beyond. Current research on Glioblastoma predominantly revolves around non-omics data modalities, prominently including m agnetic resonance imaging, computed tomography, and positron emission tomography . Nonetheless, the assimilation of omic data-encompassing gene expression throug h transcriptomics and epigenomics-offers pivotal insights into patients' conditi ons. These insights, reciprocally, hold significant value in refining diagnoses, guiding decision- making processes, and devising efficacious treatment strategi es. This survey's core objective encompasses a comprehensive exploration of note worthy applications of machine learning methodologies in the domain of glioblast oma, alongside closely associated research pursuits. The study accentuates the d eployment of artificial intelligence techniques for both non-omics and omics dat a, encompassing a range of tasks."
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 Artificial Intelligence. According to news originating from Nanchang, People's R epublic of China, by NewsRx correspondents, research stated, "In the manufacturi ng process of 3D Concrete Printing (3DCP), defects and anomalies have a signific ant impact on both the success rate and the quality of the final products, under scoring the need for real-time monitoring. Currently, monitoring is primarily ba sed on manual observation and existing automated methods are limited in real-tim e performance and accuracy." Funders for this research include National Key Research and Development Program of China, Australian Research Council.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Dublin, Ireland , by NewsRx editors, research stated, "Colorectal cancer remains a major cause o f cancer death and morbidity worldwide. Surgery is a major treatment modality fo r primary and, increasingly, secondary curative therapy." Financial support for this research came from University College Dublin. Our news journalists obtained a quote from the research from University College Dublin, "However, with more patients being diagnosed with early stage and premal ignant disease manifesting as large polyps, greater accuracy in diagnostic and t herapeutic precision is needed right from the time of first endoscopic encounter . Rapid advancements in the field of artificial intelligence (AI), coupled with widespread availability of near infrared imaging (currently based around indocya nine green (ICG)) can enable colonoscopic tissue classification and prognostic s tratification for significant polyps, in a similar manner to contemporary dynami c radiological perfusion imaging but with the advantage of being able to do so d irectly within interventional procedural time frames. It can provide an explaina ble method for immediate digital biopsies that could guide or even replace tradi tional forceps biopsies and provide guidance re margins (both areas where curren t practice is only approximately 80% accurate prior to definitive excision). Here, we discuss the concept and practice of AI enhanced ICG perfusio n analysis for rectal cancer surgery while highlighting recent and essential nea r-future advancements. These include breakthrough developments in computer visio n and time series analysis that allow for real-time quantification and classific ation of fluorescent perfusion signals of rectal cancer tissue intraoperatively that accurately distinguish between normal, benign, and malignant tissues in sit u endoscopically, which are now undergoing international prospective validation (the Horizon Europe CLASSICA study). Next stage advancements may include detaile d digital characterisation of small rectal malignancy based on intraoperative as sessment of specific intratumoral fluorescent signal pattern. This could include T staging and intratumoral molecular process profiling (e.g. regarding angiogen esis, differentiation, inflammatory component, and tumour to stroma ratio) with the potential to accurately predict the microscopic local response to nonsurgica l treatment enabling personalised therapy via decision support tools. Such advan cements are also applicable to the next generation fluorophores and imaging agen ts currently emerging from clinical trials."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Mental Health Diseases and Conditions - Psychosis is the subject of a report. According to news report ing originating from Lisbon, Portugal, by NewsRx correspondents, research stated , "Despite years of research, we are still not able to reliably predict who migh t benefit from electroconvulsive therapy (ECT) treatment. As we exhaust what is possible using traditional statistical analysis, ECT remains a good candidate fo r machine learning approaches due to the large data sets with data captured thro ugh electroencephalography (EEG) and other objective measures." Our news editors obtained a quote from the research from Hospital Beatriz Angelo , "A systematic review of 6 databases led to the full-text examination of 26 art icles using machine learning approaches in examining data predicting response to ECT treatment. The identified articles used a wide variety of data types coveri ng structural and functional imaging data (n = 15), clinical data (n = 5), a com bination of clinical and imaging data (n = 2), EEG (n = 3), and social media pos ts (n = 1). The clinical indications in which response prediction was assessed w ere depression (n = 21) and psychosis (n = 4). Changes in multiple anatomical re gions in the brain were identified as holding a predictive value for response to ECT. These primarily centered on the limbic system and associated networks. Cli nical features predicting good response to ECT in depression included shorter du ration, lower severity, higher medication dose, psychotic features, low cortisol levels, and positive family history. It has also been possible to predict the l ikelihood of relapse of readmission with psychosis after ECT treatment, includin g a better response if higher transfer entropy was calculated from EEG signals."
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 Machine Learning. According to news reporting originating in Tamil Nadu, India, by News Rx journalists, research stated, "Recent improvements in Selective Laser Sinteri ng (SLS) technology have prompted researchers to examine the fabrication method as a solution for patient-specific orthopedic issues. Although SLS remains a des irable method for sintering polymer materials, poor selection of process paramet er ranges can reduce the porosity of manufactured components and decrease the me chanical performance."
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 originating from Guangzhou, People's Re public of China, by NewsRx correspondents, research stated, "Accumulating eviden ce suggests that a wide variety of cell deaths are deeply involved in cancer imm unity. However, their roles in glioma have not been explored." Financial supporters for this research include National Natural Science Foundati on of China, China Postdoctoral Science Foundation, Natural Science Foundation o f Hunan Province. Our news journalists obtained a quote from the research from Southern Medical Un iversity, "We employed a logistic regression model with the shrinkage regulariza tion operator (LASSO) Cox combined with seven machine learning algorithms to ana lyse the patterns of cell death (including cuproptosis, ferroptosis, pyroptosis, apoptosis and necrosis) in The Cancer Genome Atlas (TCGA) cohort. The performan ce of the nomogram was assessed through the use of receiver operating characteri stic (ROC) curves and calibration curves. Cell-type identification was estimated by using the cell-type identification by estimating relative subsets of known R NA transcripts (CIBERSORT) and single sample gene set enrichment analysis method s. Hub genes associated with the prognostic model were screened through machine learning techniques. The expression pattern and clinical significance of MYD88 w ere investigated via immunohistochemistry (IHC). The cell death score represents an independent prognostic factor for poor outcomes in glioma patients and has a distinctly superior accuracy to that of 10 published signatures. The nomogram p erformed well in predicting outcomes according to time-dependent ROC and calibra tion plots. In addition, a high-risk score was significantly related to high exp ression of immune checkpoint molecules and dense infiltration of protumor cells, these findings were associated with a cell death-based prognostic model. Upregu lated MYD88 expression was associated with malignant phenotypes and undesirable prognoses according to the IHC. Furthermore, high MYD88 expression was associate d with poor clinical outcomes and was positively related to CD163, PD-L1 and vim entin expression in the in-horse cohort. The cell death score provides a precise stratification and immune status for glioma."
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