We present the Black Hole Explorer (BHEX), a mission that will produce the sharpest images in the history of astronomy by extending submillimeter Very-Long-Baseline Interferometry (VLBI) to space. BHEX will discover a...
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We introduce a deep neural network (DNN) model that assigns the position of the centers of the electronic charge in the snapshots of a molecular dynamics trajectory. The electronic centers are uniquely specified by th...
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Road transportation is the most popular transportation in Thailand, which the top two highest traffic are the region-to-region highways;and then inter-city highways. Therefore, the regular maintenance is required to m...
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Road transportation is the most popular transportation in Thailand, which the top two highest traffic are the region-to-region highways;and then inter-city highways. Therefore, the regular maintenance is required to maintain the good condition due to road safety. The most significant process of bridge inspection procedures is sub structure inspection, which requires visual inspection as an initial step. This process is used to quick determine the damage severity i.e. appearance and crack that may cause damage to the structure strength. The current process requires that the experienced maintenance engineer to be on the field in order to visual inspect and estimate whether the maintenance is required. Yet, due to the limitation of number of expert engineers to be on the field, the photo verification is introduced to assist them so that they are no need on every inspection site. However, using human to verify has no standard and uncontrollable. They need to have experience and good knowledge. As well as it is highly depended on individual decisionmaking skill. Thus, in this paper, the deep learning technique will be presented to assist the expert for quality inspection process of bridge sub structure images. That is using image enhancement and then image splitting and overlapping for image pre-processing. After that applying CNNs for object classification. As a result, the total accuracy is 89% based on 3926 dataset.
Indonesia is earthquake and tsunami prone areas, included Sumatera Island. Bandar Lampung is also vulnerable to earthquake and tsunami, especially Kangkung fishing village in Lampung Bay. Disaster risk reduction is ve...
Indonesia is earthquake and tsunami prone areas, included Sumatera Island. Bandar Lampung is also vulnerable to earthquake and tsunami, especially Kangkung fishing village in Lampung Bay. Disaster risk reduction is very important to be implemented in the cases of earthquake and tsunami, which can save more life and build resilience in facing the hazard. This research aimed to study how the knowledge, awareness, and resilience of people in Kangkung fishing village can strengthen the earthquake and tsunami disaster risk reduction. This research conducted by quantitative methods. Survey and interview of 53 respondents were conducted as well as data collecting approached by purposive sampling. The results found that there is little knowledge and awareness of people in Kangkung fishing village of the hazard of earthquake and tsunami. Therefore, this research proposed a model of 'Community-Based Resilience Strategy' Model of earthquake and tsunami disaster risk reduction. It is a comprehensive and sustainable model of how people take a part in disaster risk reduction by intensive participatory. Conclusion of this research emphasized that disaster risk reduction is a big matter in marginalized society such as people in Kangkung fishing village. The 'Community-Based Resilience Strategy' Model of earthquake and tsunami disaster risk reduction that may increase the knowledge and awareness to become more resilience.
Wastewater produced by batik industry in Cibelok Village, Pemalang that is disposed straight into the sewage will increase the concentration of Biochemical Oxygen Demand (BOD), ammonia (NH3), Chemical Oxygen Demand (C...
Wastewater produced by batik industry in Cibelok Village, Pemalang that is disposed straight into the sewage will increase the concentration of Biochemical Oxygen Demand (BOD), ammonia (NH3), Chemical Oxygen Demand (COD), chromium (Cr), lead (Pb), watercolour, acidity (pH), and dissolved oxygen (DO). Disposed batik wastewater without treatment will contaminate the environment, mainly its water and soil. The main purpose of this research is to reduce the concentration of Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), ammonia (NH3), chromium (Cr), lead (Pb), watercolour, acidity, and dissolved oxygen (DO) by treating batik Cibelok's waste and not contaminate the surrounding environment. Laboratory test results on batik waste in COD, BOD, DO, ammonia, chromium, lead, colour, and acidity (pH). These results are not in accordance with the 2014 Waste Water Quality Standard Number 5 by the Regulation of the Minister of Environment of the Republic of Indonesia. Alternatives that have been done to treat Cibelok Village's batik waste is to lower dangerous substances concentration through electrocoagulation and filtration. The processes could lower COD level around 57.6%, ammonia 98%, chromium 85%, and BOD 67%. Reducing the concentration of the substance makes the batik waste safer and environmentally friendly when it's finally disposed to the sewage.
Globally averaged, surface particulate nitrogen and phosphorus approximate the 16:1, N:P "Redfield ratio." In observations, N:P ratios vary latitudinally at ranges attributable to both phytoplankton communit...
Globally averaged, surface particulate nitrogen and phosphorus approximate the 16:1, N:P "Redfield ratio." In observations, N:P ratios vary latitudinally at ranges attributable to both phytoplankton community composition and physiological acclimation, but their relative contributions to the N:P ratio remain unclear. Here, results from a 29-day mesocosm experiment highlight how inorganic nitrogen and/or phosphorus nutrient supply can affect the bulk particle stoichiometry of a North Pacific Subtropical Gyre plankton community. Nitrogen additions, with and without phosphorus, increase total productivity and diatom abundance, whereas treatments with just phosphorus additions remain similar to the no-nutrient addition control. Continual nitrogen supply without phosphorus results in higher particulate N:P ratios than expected based on the phytoplankton community present. Several P-stress markers identified in those treatments highlight the importance of acclimation in extending particulate N:P ratios beyond the Redfield ratio. Phytoplankton's ability to maintain growth under P-stress conditions has implications for global carbon cycling.
Measurements of the pT-dependent flow vector fluctuations in Pb–Pb collisions at sNN=5.02TeV using azimuthal correlations with the ALICE experiment at the Large Hadron Collider are presented. A four-particle correlat...
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Measurements of the pT-dependent flow vector fluctuations in Pb–Pb collisions at sNN=5.02TeV using azimuthal correlations with the ALICE experiment at the Large Hadron Collider are presented. A four-particle correlation approach [ALICE Collaboration, Phys. Rev. C 107, L051901 (2023)] is used to quantify the effects of flow angle and magnitude fluctuations separately. This paper extends previous studies to additional centrality intervals and provides measurements of the pT-dependent flow vector fluctuations at sNN=5.02TeV with two-particle correlations. Significant pT-dependent fluctuations of the V⃗2 flow vector in Pb–Pb collisions are found across different centrality ranges, with the largest fluctuations of up to ∼15% being present in the 5% most central collisions. In parallel, no evidence of significant pT-dependent fluctuations of V⃗3 or V⃗4 is found. Additionally, evidence of flow angle and magnitude fluctuations is observed with more than 5σ significance in central collisions. These observations in Pb–Pb collisions indicate where the classical picture of hydrodynamic modeling with a common symmetry plane breaks down. This has implications for hard probes at high pT, which might be biased by pT-dependent flow angle fluctuations of at least 23% in central collisions. Given the presented results, existing theoretical models should be reexamined to improve our understanding of initial conditions, quark–gluon plasma properties, and the dynamic evolution of the created system.
The ALICE Collaboration reports measurements of the semi-inclusive distribution of charged-particle jets recoiling from a high transverse momentum (high pT) charged hadron, in pp and central Pb-Pb collisions at center...
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The ALICE Collaboration reports measurements of the semi-inclusive distribution of charged-particle jets recoiling from a high transverse momentum (high pT) charged hadron, in pp and central Pb-Pb collisions at center-of-mass energy per nucleon–nucleon collision sNN=5.02 TeV. The large uncorrelated background in central Pb-Pb collisions is corrected using a data-driven statistical approach which enables precise measurement of recoil jet distributions over a broad range in pT,chjet and jet resolution parameter R. Recoil jet yields are reported for R=0.2, 0.4, and 0.5 in the range 7
The initial conditions found in infrared dark clouds (IRDCs) provide insights on how high-mass stars and stellar clusters form. We have conducted high-angular resolution and high-sensitivity observations toward thirty...
Machine learning models are changing the paradigm of molecular modeling, which is a fundamental tool for material science, chemistry, and computational biology. Of particular interest is the inter-atomic potential ene...
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