Landings of juvenile Uroteuthis (Photololigo) singhalensis in Tuticorin Fishing Harbour

In Tuticorin Fishing Harbour about 200 trawlers operate daily from 5 am to 11 pm for single day fishing. Wooden and steel trawlers in three sizes, namely small boats (OAL 35-40 feet), medium boats (OAL 40-50 feet) and large boats (OAL up to 80 feet) operate from this harbour

Analysis of the Contribution of TSS, pH, Fe, and Mn Parameters to the Pollution Load Capacity of Coal Mines in the Oal River, South Sumatra

The Oal River receives coal wastewater input at several companies. Coal mining in the vicinity of the location adds to the burden of water pollution in the Oal River due to waste water disposal activities. The increase in the concentration of coal waste and the pollution load that enters the Oal River water body will have an impact on the reducing capacity of the pollution load. This study aim to provide information on the condition of the pollution load carrying capacity of the Oal River. Determination of the carrying capacity of water pollution loads at water sources using the mass balance method. The characteristic of the Oal River water with the parameters TSS, pH, Fe and Mn have not yet passed the quality standards for river water and wastewater, both according to PP No. 22 of 2021 and South Sumatra Governor Regulation No. 8 of 2012. The Oal River still has the capacity to accommodate TSS and pH parameters

Online Active Learning For Sound Event Detection

Data collection and annotation is a laborious, time-consuming prerequisite for supervised machine learning tasks. Online Active Learning (OAL) is a paradigm that addresses this issue by simultaneously minimizing the amount of annotation required to train a classifier and adapting to changes in the data over the duration of the data collection process. Prior work has indicated that fluctuating class distributions and data drift are still common problems for OAL. This work presents new loss functions that address these challenges when OAL is applied to Sound Event Detection (SED). Experimental results from the SONYC dataset and two Voice-Type Discrimination (VTD) corpora indicate that OAL can reduce the time and effort required to train SED classifiers by a factor of 5 for SONYC, and that the new methods presented here successfully resolve issues present in existing OAL methods.Comment: Submitted to ICASSP 2024. Publication will belong to IEE

The Controversy of Myopia as a Risk Factor for Glaucoma: a Mathematical Approach

poster abstractPurpose: to quantify how individual variations in anatomical parameters often associated with myopia (e.g. longer ocular axial length (OAL), reduced scleral thickness (ST), lamina cribrosa diameter (LCD) and thickness (LCT)) affect retinal blood flow (RBF) and its sensitivity to ocular perfusion pressure (OPP). Methods: A mathematical model is used to calculate RBF through central retinal artery (CRA), arterioles, capillaries, venules, and central retinal vein (CRV). The flow is time-dependent, driven by systemic pressure and regulated by variable resistances to account for nonlinear effects due to (1) autoregulation (AR), and (2) lamina cribrosa effect on CRA and CRV. The latter is a nonlinear function of intraocular pressure (IOP), cerebrospinal fluid pressure (CSF) and OAL, ST, LCD, and LCT. RBF is computed as the solution of a system of five non-linear ordinary differential equations. The system is solved for different OPP values, obtained by varying independently IOP and mean arterial pressure (MAP), with and without AR. Results: Four representative eyes are compared: Eye 1 (OAL=24mm, ST=1mm, LCD=3mm, LCT=0.4mm), Eye 2 (OAL=28mm, ST=1mm, LCD=3mm, LCT=0.4mm), Eye 3 (OAL=24mm, ST=0.7mm, LCD=2mm, LCT=0.2mm), Eye 4 (OAL=28mm, ST=0.7mm, LCD=2mm, LCT=0.2mm). The model predicts that the cardiac cycle RBF average (RBFav) for eyes with smaller LCD and LCT is notably less than in normal eyes when IOP is elevated and without AR (c). Without AR and reduced MAP, the four eyes show similar RBFav reductions (d). With AR, anatomical changes do not induce notable changes in RBFav, (a) and (b). Conclusions: Reduced LCD and LCT, often associated with myopia, seem to affect RBFav more than elevated OAL. RBFav reductions magnify when AR is impaired, and this might reduce IOP safe levels for eyes with reduced LCD and LCT. These findings suggest that a combination of anatomical and vascular factors might cause certain myopic eyes to be at higher risk for glaucomatous damage than others

Impact of Office of Administrative Law on California Taxing Agencies

In 1979, AB 1111 (McCarthy, Chapter 567) was enacted to establish an Office of Administrative Law charged with promoting regulatory reform on the part of California\u27s state agencies. The end of the second year of existence of the Office of Administrative Law (OAL) signals an appropriate time for the Assembly Revenue and Taxation Committee to review the impact of OAL and its regulatory reform activities on California\u27s two major tax agencies and the taxpayers they serve. This briefing booklet reproduces OAL\u27s 1981-82 Annual Report, and includes short analyses by the staff of the Board of Equalization and the Franchise Tax Board addressing OAL\u27s impact on those tax agencies

Ultra-high dimensional confounder selection algorithms comparison with application to radiomics data

Radiomics is an emerging area of medical imaging data analysis particularly for cancer. It involves the conversion of digital medical images into mineable ultra-high dimensional data. Machine learning algorithms are widely used in radiomics data analysis to develop powerful decision support model to improve precision in diagnosis, assessment of prognosis and prediction of therapy response. However, machine learning algorithms for causal inference have not been previously employed in radiomics analysis. In this paper, we evaluate the value of machine learning algorithms for causal inference in radiomics. We select three recent competitive variable selection algorithms for causal inference: outcome-adaptive lasso (OAL), generalized outcome-adaptive lasso (GOAL) and causal ball screening (CBS). We used a sure independence screening procedure to propose an extension of GOAL and OAL for ultra-high dimensional data, SIS + GOAL and SIS + OAL. We compared SIS + GOAL, SIS + OAL and CBS using simulation study and two radiomics datasets in cancer, osteosarcoma and gliosarcoma. The two radiomics studies and the simulation study identified SIS + GOAL as the optimal variable selection algorithm

Abundance of Second Order Topology in Two-dimensional Insulators

We have screened 71 two-dimensional (2D) materials with $C_3$ symmetry for non-trivial second order topological order and find that 28 compounds exhibit an obstructed atomic limit (OAL). In the case of $C_3$ symmetry, the second order topology can be calculated from bulk symmetry indicator invariants, which predict the value of fractional corner charges in symmetry conserving nanoflakes. The procedure is exemplified by MoS$_2$ in the H-phase, which constitutes a generic example of a 2D OAL material and the predicted fractional corner charges is verified by direct calculations of nanoflakes with armchair edges. We also determine the bulk topological polarization, which always lead to gapless states at zigzag edges and thus deteriorates the concept of fractional corner charges in nanoflakes with zigzag edges that are typically more stable that armchair flakes. We then consider the case of TiCl$_2$, which has vanishing polarization as well as an OAL and we verify that the edge states of nanoflakes with zigzag edges may indeed by passivated such that the edges remain insulating and the corner charges are well defined. For the 28 OAL materials we find that 16 have vanishing polarization and these materials thus constitute a promising starting point for experimental verification of second order topology in a 2D material.Comment: 5 pages plus supplementar

Unusual landings of large sized Yellowfin tuna by purse seiners at Karwar, Karnataka

Unusual landings of large sized Yellowfin tuna Thunnus albacares (Bonnaterre, 1788) was observed at Baithkol Fisheries Harbour, Karwar during the period 16th to 22nd February 2020. Six tunas were landed by two purse-seiners with individual weights ranging from 68 kg to 103 kg. One purse-seine unit landed with only one yellowfin tuna weighing 68 kg in the early morning hours of 16.2.2020. The other multiday purse-seine unit of OAL 19.8 meter overall length (OAL) fitted with a 350 hp Sonatrac engine was operated at a depth of 54 meter off Belekeri (N 140 38’ 100” E 0730 52’ 500”) during night hours on 18.2.2020 and four yellowfin tuna weighing 103, 97, 82 and 78 kg each were hauled in and sent immediately by a carrier boat to landing centr