查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting or iginating in Fez, Morocco, by NewsRx journalists, research stated,"Despite suff ering from the same disease, each patient exhibits a distinct microbiological pr ofile andvariable reactivity to prescribed treatments. Most doctors typically u se a standardized treatment approachfor all patients suffering from a specific disease."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Research findings on robotics are disc ussed in a new report. According to newsreporting from Beijing, People's Republ ic of China, by NewsRx journalists, research stated, "In the process of autonomo us navigation of outdoor mobile robots, four modules are involved: perception, l ocalization,planning, and controlling. The perception module utilizes sensors s uch as cameras and radars based onvarious principles to analyze the robot's sur roundings in real-time."Our news correspondents obtained a quote from the research from China University of Geosciences:"The localization module uses GPS (Global Positioning System), IMU (Inertial Measurement Unit), andprior maps for real-time positioning analys is. The planning module plans optimal path based on theoutputs of the first two modules, and the controlling module directs the robot's chassis to move along the planned optimal path. For the localization module, the accuracy of GPS positi oning results heavilydepends on weather conditions and GPS signal receptions. E ven if the positioning results of imu areintegrated, the positioning accuracy s till cannot meet the needs of robot navigation. Therefore, usingprior maps for repositioning can compensate for this accuracy deficiency. The planning module a lsorequires path planning based on prior maps. If the a priori map storage is l arge, it will lead to difficulties inusage, maintenance, and updates. Therefore , it is crucial to research lightweight navigation map mappingmethods."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Machine Learning is th e subject of a report. According to newsreporting from Beijing, People's Republ ic of China, by NewsRx journalists, research stated, "Constructionof cascade re servoirs has altered nutrient dynamics and biogeochemical cycles, thereby influe ncing the composition and productivity of river ecosystems. The Lancang River (L CR), characterized by its cascadereservoir system, presents uncertainties in ni trogen transport and nitrate transformation mechanisms."
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 Ar tificial Intelligence. According to news reportingfrom Hamden, Connecticut, by NewsRx journalists, research stated, "In recent years, there has been a discerni ble upswing in the attention dedicated to artificial intelligence (AI) within th e domains of publicrelations, advertising, and marketing. Notably, the subdomai n of investor relations has maintained asignificant historical engagement with AI, actively employing AI and AI-enabled tools for several decades,a practice t raceable back to the 1980s."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Machine Learn ing have been published. According tonews reporting from Hunan, People's Republ ic of China, by NewsRx journalists, research stated, "Rapidprediction and quant itative assessment of the damage of reinforced concrete (RC) columns under blastloads are challenging and crucial issues. The key parameters affecting the anti -blast capacity of RCcolumns are coupled with failure modes."The news correspondents obtained a quote from the research from the School of Ci vil Engineering,"In this study, machine learning (ML) and Monte Carlo (MC) simu lations are employed to investigatethe damage of RC columns subjected to blast loads. 257 data collected from existing experimental andnumerical studies are u tilized to establish a database for model training and testing. The damage indexes of columns are predicted using eight ML models with eight input features. The predictive capacity of each model is characterized by eight evaluation indexes through MC simulations. The CatBoost model isidentified as the optimal model ba sed on the Analytic Hierarchy Process (AHP). Additionally, the CatBoostmodel is explained using the SHapley Additive exPlanations (SHAP) method, and the influe nce of axialcompression ratio on column damage is determined to be intricate. T he coupling relationship betweenthe axial compression ratio and the scale dista nce of the column is analyzed. Finally, a zonal diagram isdeveloped."
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 reportingoriginating from Bahawalpur, Pakistan, by NewsRx correspondents, research stated, "Working memory isvital f or short-term information processing. Binaural beats can enhance working memory by improvingattention and memory consolidation through neural synchronization."Our news reporters obtained a quote from the research from Islamia University of Bahawalpur: "However,individual differences in cognitive and neuronal function ing affect effectiveness of binaural beats,necessitating personalized approache s. This study aimed to develop a machine learning model to predictbinaural beat s's effectiveness on working memory using electroencephalography. Sixty healthy participantsunderwent a 5-min electroencephalography recording, an initial work ing memory evaluation, 15 min of binauralbeats stimulation, and a subsequent wo rking memory evaluation using digit span tests of increasingdifficulty. Recall accuracy and response times were measured. Differential scores from pre-evaluati on andpost-evaluation labeled participants as active or inactive to binaural be ats stimulation. electroencephalographydata, recorded using 14 electrodes, prov ided brain activity estimates across theta, alpha, beta, andgamma frequency ban ds, resulting in 56 features (14 channels x 4 bands) for the machine learning model. Several classifiers were tested to identify the most effective model."
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 Ma chine Learning. According to news originatingfrom Xiamen, People's Republic of China, by NewsRx correspondents, research stated, "Constraining themelting temp erature of iron under Earth's inner core conditions is crucial for understanding core dynamicsand planetary evolution. Here, we develop a deep potential (DP) m odel for iron that explicitly incorporateselectronic entropy contributions gove rning thermodynamics under Earth's core conditions."Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Fundamental Research Funds for the Central Universities, Nat ional Science Foundation (NSF), OpeningProject of the Joint Laboratory for Plan etary Science and Supercomputing, Research Center for PlanetaryScience, Nationa l Supercomputing Center in Chengdu.Our news journalists obtained a quote from the research from Xiamen University, "Extensive benchmarkingdemonstrates the DP's high fidelity across relevant iron phases and extreme pressure and temperatureconditions. Through thermodynamic i ntegration and direct solid-liquid coexistence simulations, the DPpredicts melt ing temperatures for iron at the inner core boundary, consistent with previous a b initio results.This resolves the previous discrepancy of iron's melting tempe rature at ICB between the DP modeland ab initio calculation and suggests the cr ucial contribution of electronic entropy."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-New research on Machine Learning is the subject o f a report. According to news reporting originatingin Cambridge, United Kingdom , by NewsRx journalists, research stated, "The presence and intensityof heart m urmurs are sensitive indicators of several cardiac diseases in dogs, particularl y myxomatousmitral valve disease (MMVD), but accurate interpretation requires s ubstantial clinical expertise. Assess ifa machine-learning algorithm can be tra ined to accurately detect and grade heart murmurs in dogs anddetect cardiac dis ease in electronic stethoscope recordings."Funders for this research include Medical Research Council, Emmanuel College, Un iversity of Cambridge,Kennel Club Charitable Trust.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Data detailed on Machine Learning have been prese nted. According to news reporting from Bangalore,India, by NewsRx journalists, research stated, "Ambiguity is considered an indispensable attributeof all natu ral languages. The process of associating the precise interpretation to an ambig uous wordtaking into consideration the context in which it occurs is known as w ord sense disambiguation (WSD)."The news correspondents obtained a quote from the research from Alliance Univers ity, "Supervisedapproaches to WSD are showing better performance in contrast to their counterparts. These approaches,however, require sense annotated corpus t o carry out the disambiguation process. This paper presentsthe first-ever stand ard WSD dataset for the Kashmiri language. The raw corpus used to develop the sense annotated dataset is collected from different resources and contains about 1 M tokens. The senseannotatedcorpus is then created using this raw corpus for 124 commonly used ambiguous Kashmiri words.Kashmiri WordNet, an important lexic al resource for the Kashmiri language, is used for obtaining thesenses used in the annotation process. The developed sense-tagged corpus is multifarious in nat ure andhas 19,854 sentences. Based on this annotated corpus, the Lexical Sample WSD task for Kashmiri is carriedout using different machine-learning algorithm s (J48, IBk, Naive Bayes, Dl4jMlpClassifier, SVM). To trainthese models for the WSD task, bag-of-words (BoW) and word embeddings obtained using the Word2Vecmo del are used. We used different standard measures, viz. accuracy, precision, rec all, and F1-measure,to calculate the performance of these algorithms. Different machine learning algorithms reported differentvalues for these measures on usi ng different features."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Machine Learning is th e subject of a report. According to news reportingout of Beijing, People's Repu blic of China, by NewsRx editors, research stated, "Chemical exposurecan be lin ked with various adverse effects, but the causal association is still poorly und erstood. To meetthe challenge, non-target screening (NTS) based on liquid chrom atography coupled with highresolutionmass spectrometry (LC-HRMS) is increasingl y applied to identify known and unknown chemicals withtoxicological concerns pr esent in environmental and biological samples."Financial supporters for this research include Chinese Academy of Sciences, Nati onal Natural ScienceFoundation of China (NSFC), China National Postdoctoral Pro gram for Innovative Talents.
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