查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting out of Budapest, Hungary, by NewsRx editors, research stated, “In the evolving landscape of microbiology and microbiome analysis, the integration of machine learning is crucial for understanding complex microbial interactions, and predicting and recognizing novel functionalities within extensive datasets. However, the effectiveness of these methods in microbiology faces challenges due to the complex and heterogeneous nature of microbial data, further complicated by low signal-to-noise ratios, context-dependency, and a significant shortage of appropriately labeled datasets.” Our news journalists obtained a quote from the research from Pazmany Peter Catholic University, “This study introduces the ProkBERT model family, a collection of large language models, designed for genomic tasks. It provides a generalizable sequence representation for nucleotide sequences, learned from unlabeled genome data. This approach helps overcome the above-mentioned limitations in the field, thereby improving our understanding of microbial ecosystems and their impact on health and disease. ProkBERT models are based on transfer learning and self-supervised methodologies, enabling them to use the abundant yet complex microbial data effectively. The introduction of the novel Local Context- Aware (LCA) tokenization technique marks a significant advancement, allowing ProkBERT to overcome the contextual limitations of traditional transformer models. This methodology not only retains rich local context but also demonstrates remarkable adaptability across various bioinformatics tasks. In practical applications such as promoter prediction and phage identification, the ProkBERT models show superior performance. For promoter prediction tasks, the top-performing model achieved a Matthews Correlation Coefficient (MCC) of 0.74 for and 0.62 in mixed-species contexts. In phage identification, ProkBERT models consistently outperformed established tools like VirSorter2 and DeepVirFinder, achieving an MCC of 0.85. These results underscore the models’ exceptional accuracy and generalizability in both supervised and unsupervised tasks. The ProkBERT model family is a compact yet powerful tool in the field of microbiology and bioinformatics. Its capacity for rapid, accurate analyses and its adaptability across a spectrum of tasks marks a significant advancement in machine learning applications in microbiology.”
查看更多>>摘要：A new study on artificial intelligence is now available. According to news originating from Mustansiriyah University by NewsRx correspondents, research stated, “Online social media platforms allow people to express their ideas and opinions about anything as products, education, or politics, this produce a huge data requires appropriate tools to analyze it accurately, and that’s why Sentiment Analysis (SA) has become more used in recent years.” Our news editors obtained a quote from the research from Mustansiriyah University: “This paper review the SA and classification methods of machine learning especially supervised techniques like Support Vector Machine (SVM), Neural Networks (NN), Naive Bayes (NB), Rough Set Theory (RST), Random Forest (RF), Decision Trees (DT), and other technology of SA is lexicon techniques and hybrid methods (which include the lexicon and machine learning techniques). Machine learning consist of two group supervised (Classification and Regression) and unsupervised (clustering and association).”
查看更多>>摘要：Data detailed on Artificial Intelligence have been presented. According to news reporting from Ottawa, Canada, by NewsRx journalists, research stated, “The practical application of Artificial Intelligence (AI) approaches in estimating the mechanical properties of fiber-reinforced concrete (FRC) subjected to high temperatures was initiated by developing a dataset including concrete mixtures, geometrical and mechanical properties of fiber, and temperatures. The dataset contains compressive strength, tensile strength, and modulus of elasticity of concrete with two distinct types of fiber, i.e., steel and polypropylene with an extensive range of temperatures from 100 to 1200 C-degrees.” Financial supporters for this research include Natural Sciences and Engineering Research Council of Canada (NSERC), Structural Technologies Inc.
查看更多>>摘要：Research findings on Robotics - Androids are discussed in a new report. According to news reporting out of Novi Sad, Serbia, by NewsRx editors, research stated, “Twenty years ago in the first issue of IJHR, among others, there was a published paper [M. Vukobratovic and B. Borovac, Zero-moment point - Thirty five years of its life, Int. J. Humanoid Robot. 1(1) (2004) 157-173], devoted to well-known zero-moment point (ZMP) concept. Its role in biped locomotion (in the preservation of dynamic balance during walking and gait synthesis) was (and still is) extremely significant.” Financial support for this research came from Ministry of Education, Science & Technological Development, Serbia. Our news journalists obtained a quote from the research from the University of Novi Sad, “This paper is aimed to present, how far we have gone in the past 20 years in the realization of bipedal walking, what are remaining open challenges and what we can expect in the further development. At the beginning of the paper, we will briefly refer to some still existing misinterpretations of the ZMP notion, related to specific boundary cases, when the terms Center of Pressure (CoP) and ZMP are still being mixed. Then, we will point your attention to the discussion of two important issues: attempts of generalization of ZMP notion in case of motion in the presence of multiple, spatially distributed and non-planar contacts and walk realization in a non-laboratory environment (unstructured environment and on the non-flat ground surface). Of course, looking at ‘how humans do it’ has always been an inspiration for the realization of complex tasks by humanoids.”
查看更多>>摘要：Research findings on Robotics are discussed in a new report. According to news reporting originating in Liverpool, United Kingdom, by NewsRx journalists, research stated, “Automation can transform productivity in research activities that use liquid handling, such as organic synthesis, but it has made less impact in materials laboratories, which require sample preparation steps and a range of solid-state characterization techniques. For example, powder X-ray diffraction (PXRD) is a key method in materials and pharmaceutical chemistry, but its end-to-end automation is challenging because it involves solid powder handling and sample processing.” Funders for this research include Engineering & Physical Sciences Research Council (EPSRC), European Research Council (ERC), Engineering & Physical Sciences Research Council (EPSRC), Leverhulme Trust, Royal Society. The news reporters obtained a quote from the research from the University of Liverpool, “Here we present a fully autonomous solid-state workflow for PXRD experiments that can match or even surpass manual data quality, encompassing crystal growth, sample preparation, and automated data capture. The workflow involves 12 steps performed by a team of three multipurpose robots, illustrating the power of flexible, modular automation to integrate complex, multitask laboratories.”
查看更多>>摘要：New research on Robotics is the subject of a report. According to news reporting out of Rouen, France, by NewsRx editors, research stated, “Despite robot-assisted surgery (RAS) becoming increasingly common, little is known about the impact of the underlying work organization on the stress levels of members of the operating room (OR) team. To this end, assessing whether RAS may impact work-related stress, identifying associated stress factors and surveying relevant measurement methods seems critical.” Our news journalists obtained a quote from the research from the University of Rouen Normandie, “Using three databases (Scopus, Medline, Google Scholar), a systematic review was conducted leading to the analysis of 20 articles. Results regarding OR team stress levels and measurement methods were heterogeneous, which could be explained by differing research conditions (i.e., lab. vs. real-life). Relevant stressors such as (in)experience with RAS and quality of team communication were identified. Development of a common, more reliable methodology of stress assessment is required. Research should focus on real-life conditions in order to develop valid and actionable knowledge.”
查看更多>>摘要：A new study on robotics is now available. According to news originating from the Council of Scientific and Industrial Research (CSIR) by NewsRx correspondents, research stated, “This paper describes a mobile ground-based robotic platform named Voyager which was developed to support robotics research and replace the old mobile robotic platform, the Pioneer.” Our news correspondents obtained a quote from the research from Council of Scientific and Industrial Research (CSIR): “A comparative analysis was done with three mobile robot: platforms Pioneer 3-DX, Clearpath Robotics Jackal, and SuperDroid Robots VIPR to determine the requirements for Voyager’s development. The Voyager is currently equipped with a 3D LiDAR scanner, inertial measurement unit, and camera to allow for the onboard software to perform obstacle avoidance as well as avoid non-traversable terrain when driving outdoors.” According to the news reporters, the research concluded: “This universal platform has been used for developing new algorithms for path planning, obstacle avoidance, localisation, and mapping.”
查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Abha, Saudi Arabia, by NewsRx correspondents, research stated, “This work integrates incompressible smoothed particle hydrodynamics (ISPH) with machine learning (ML) to examine the uses of two different domain shapes, spline star-domain, and triangle star-domain, on double diffusion of nano-encapsulated phase change material (NEPCM). The effects of thermal radiation and exothermic chemical reactions are conducted in this work.” Funders for this research include King Khalid University; Deanship of Scientific Research, King Khalid University. The news editors obtained a quote from the research from King Khalid University: “The hexagonalshaped is located inside the center of the star-shape carrying (Th&Ch). The left/right walls of the star shape are kept at (Tc&Cc) and the other walls have an adiabatic condition. It is recommended to examine the smoothness of closed curves in the heat and mass transfer by changing the triangle to spline curves. The present investigations of transmission of heat and mass of NEPCM within a complicated star shape can be employed in cooling systems of electronic/battery, heat exchangers, food processing, and chemical engineering. The ISPH simulations are executed for the pertinent parameters, Darcy number, Frank- Kamenetskii number, Rayleigh number, Dufour number, Soret number, and thermal radiation parameter. The performed simulations showed the significance of the spline star domain compared to the triangle star domain in smoothening the nanofluid flow and double-diffusive convection in an annulus. Frank- Kamenetskii number is a promising factor in the enhancement of heat transfer and controlling the phase change zone within an annulus. At a spline-star cavity, the maximum velocity rises by 32.32 % and 54.95 % when the Frank-Kamenetskii number grows from 0 to 5, and thermal radiation increases from 0 to 5. Soret number works effectively in enhancing the distribution of concentration at large temperature differences. Machine learning plays a vital role in many engineering applications. Hence, ML’s powerful capabilities to predict the average Nu and Sh.”
查看更多>>摘要：Research findings on robotics are discussed in a new report. According to news reporting originating from Baghdad, Iraq, by NewsRx correspondents, research stated, “In the mobile robot workplace, the path planning problem is crucial. Robotic systems employ intelligence algorithms to plan the robot’s path from one point to another.” The news editors obtained a quote from the research from University of Technology: “This paper proposes the fastest and optimal path planning of the wheeled mobile robot with collision avoidance to find the optimal route during wheeled mobile robot navigation from the start point to the target point. It is done using a modern meta-heuristic hybrid algorithm called IPSOGWO by combining Improved Particle Swarm Optimization (IPSO) with Grey Wolf Optimizer (GWO). The principal idea is based on boosting the ability to exploit in PSO with the exploration ability in GWO to the better-automated alignment between local and global search capabilities towards a targeted, optimized solution. The proposed hybrid algorithm tackles two objectives: the protection of the path and the length of the path. During, Simulation tests of the route planning by the hybrid algorithm are compared with individual results PSO, IPSO, and GWO concepts about the minimum length of the path, execution time, and the minimum number of iterations required to achieve the best route. This work’s effective proposed navigation algorithm was evaluated in a MATLAB environment.”
查看更多>>摘要：Current study results on Machine Learning have been published. According to news reporting originating in Tuscaloosa, Alabama, by NewsRx journalists, research stated, “As escalating environmental pressures threaten the world’s river systems, understanding the driving factors influencing their geomorphological changes is of critical global importance. This study illuminates the complex interaction between natural and anthropogenic factors that drove geomorphological changes along the upper Apalachicola River (UAR) from 1960 to 2010.” Financial support for this research came from U.S. Environmental Protection Agency’s Gulf of Mexico Program. The news reporters obtained a quote from the research from the University of Alabama, “This study utilized LiDAR point cloud data and hydrographic surveys conducted between 1960 and 2010 to identify the primary factors driving riverbed changes. A triangular irregular network (TIN) was used to convert the combined datasets from each survey, following coordinate transformation, into a 1.5 m-resolution digital elevation model (DEM) raster. The DEM of difference (DEMoD) was computed by subtracting the 1960 DEM from that of 2010, and the total sediment loss and gain were then determined by multiplying the DEMoD by the DEM resolution. A random forest (RF) regression model was used to determine the most influential factors contributing to riverbed deformation. The results revealed substantial differences in sediment loss and gain across the river. The UAR, divided into three segments, experienced sediment loss of about -6.56 x 10(6) m(3) between 1960 and 2010, with the farthest upstream section (RM 106 to 98) losing -3.14 x 10(6) m(3), which is similar to 48 % of the sediment losses in the study area. Some sections of the channel have deepened significantly, with a pronounced depth difference of -17.20 m between RM 92 and 94, potentially caused by the presence of limestone and the enlargement of a sinkhole or spring on the riverbed. The RF model identified the dam (＞28 %) as the most crucial anthropogenic factor in riverbed deformation, followed by the presence of dikes (similar to 17-18 %), then historical dredging (similar to 7-8 %), highlighting the substantial impact of artificial structures on riverbed deformation. In contrast, rock removal, while potentially impactful in certain locations, had negligible effects (＞0.5 %) at the system scale.”
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