Miracle-dz/UniFAR-FTUs huggingface dataset:
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data

3D object recognition is a challenging task for intelligent and robot systems in industrial and home indoor environments. It is critical for such systems to recognize and segment the 3D object instances that they encounter on a frequent basis. The computer vision, graphics, and machine learning fields have all given it a lot of attention. Traditionally, 3D segmentation was done with hand-crafted features and designed approaches that didn’t achieve acceptable performance and couldn’t be generalized to large-scale data. Deep learning approaches have lately become the preferred method for 3D segmentation challenges by their great success in 2D computer vision. However, the task of instance segmentation is currently less explored. In this paper, we propose a novel approach for efficient 3D instance segmentation using red green blue and depth (RGB-D) data based on deep learning. The 2D region based convolutional neural networks (Mask R-CNN) deep learning model with point based rending module is adapted to integrate with depth information to recognize and segment 3D instances of objects. In order to generate 3D point cloud coordinates (x, y, z), segmented 2D pixels (u, v) of recognized object regions in the RGB image are merged into (u, v) points of the depth image. Moreover, we conducted an experiment and analysis to compare our proposed method from various points of view and distances. The experimentation shows the proposed 3D object recognition and instance segmentation are sufficiently beneficial to support object handling in robotic and intelligent systems.
The complete mitochondrial genome of the smudged eighty-eight butterfly Diaethria gabaza eupepla (Salvin & Godman, 1868) (Insecta: Lepidoptera: Nymphalidae)

Abstract The smudged eighty-eight butterfly Diaethria gabaza eupepla (Salvin & Godman, 1868) (Nymphalidae) is a vividly colored aposematic butterfly from Central and South America. A complete circular mitochondrial genome (mitogenome) of 15,156 bp from D. gabaza eupepla was assembled from a genome skimming Illumina sequence library. The AT-rich (80.5% AT) mitogenome consists of 13 protein-coding genes, 22 tRNAs, 2 rRNAs, and a control region in the typical butterfly gene order. Diaethria gabaza eupepla COX1 begins with an atypical CGA start codon and ATP6, COX1, COX2, CYTB, ND1, ND4, ND4L, and ND5 mRNAs contain incomplete stop codons completed by the addition of 3’ A residues. Phylogenetic reconstruction places Diaethria as the sister clade to Hamadryas within monophyletic nymphalid subfamily Biblidinae, consistent with previous phylogenetic hypotheses.
Financial Crisis Warning for Listed Manufacturing Companies in China

In this paper, we have first selected 28 indicators based on the selection principle of financial indicators adopted in relevant studies both at home and abroad from seven aspects, which include profitability, long-term and short-term solvency, company development capacity, operating capacity, cash flow generation capability, equity characteristics, and board characteristics. Subsequently, we have conducted the comparative analysis and comprehensive study on the logistic early warning model and BP neural network to provide reference for managers and stakeholders to select the optimal model. In addition, through our study on the dynamic early warning of BP neural network, we intend to convey the concept of constantly updating the model to both managers and stakeholders. Therefore, this paper provides ideas for the research on the model of financial crisis early warning for China's manufacturing industry. The study is of significance for guiding the research of related issues in the manufacturing sector and can also provide reference for the early warning of other industries.
Antecedents of Guest Loyalty in Virtual Hotel Operator

: The objective of this research is to examine the effect of service quality, e-service quality, and image on guest loyalty with guest satisfaction as a mediator at Virtual Hotel Operator (VHO). This research implements a quantitative research approach by developing a questionnaire to get primary data from 100 respondents as samples. The population in this study were guests who had stayed at RedDoorz (VHO) accommodations more than once. The convenience sampling method is used in this research. Data were analyzed by Structural Equation Model (SEM) with AMOS. The results show that service quality and also image has a positive effect on guest loyalty, but not significant. Then, e-service quality has a positive and significant effect on guest loyalty. The results also show that guest satisfaction has a mediating effect on the relationship between service quality toward guest loyalty, e-service quality toward guest loyalty, and image toward guest loyalty.
Top tree compression of tries. (English)

Summary: We present a compressed representation of tries based on top tree compression [ICALP 2013] that works on a standard, comparison-based, pointer machine model of computation and supports eﬃcient preﬁx search queries. Namely, we show how to preprocess a set of strings of total length n over an alphabet of size σ into a compressed data structure of worst-case optimal size O ( n/ log σ n ) that given a pattern string P of length m determines if P is a preﬁx of one of the strings in time O (min( m log σ, m +log n )) . We show that this query time is in fact optimal regardless of the size of the data structure. Existing solutions either use Ω( n ) space or rely on word RAM techniques, such as tabulation, hashing, address arithmetic, or word-level parallelism, and hence do not work on a pointer machine. Our result is the ﬁrst solution on a pointer machine that achieves worst-case o ( n ) space. Along the way, we develop several interesting data structures that work on a pointer machine and are of independent interest. These include an optimal data structures for random access to a grammar-compressed string and an optimal data structure for a variant of the level ancestor problem.
Prediction of serious complications in patients with cancer and pulmonary thromboembolism: validation of the EPIPHANY Index in a prospective cohort of patients from the PERSEO Study

Introduction: There is currently no validated score capable of classifying cancer-associated pulmonary embolism (PE) in its full spectrum of severity. This study has validated the EPIHANY Index, a new tool to predict serious complications in cancer patients with suspected or unsuspected PE. Method: The PERSEO Study prospectively recruited individuals with PE and cancer from 22 Spanish hospitals. The estimation of the relative frequency {theta} of complications based on the EPIPHANY Index categories was made using the Bayesian alternative for the binomial test. Results: Nine hundred patients diagnosed with PE between 2017/2020 were recruited. The rate of serious complications at 15 days was 11.8%, 95% highest density interval [HDI], 9.8-14.1%. Of the EPIPHANY low-risk patients, 2.4% (95% HDI, 0.8-4.6%) had serious complications, as did 5.5% (95% HDI, 2.9-8.7%) of the moderate-risk participants and 21.0% (95% HDI, 17.0-24.0%) of those with high-risk episodes. The EPIPHANY Index correlated with overall survival. Both the EPIPHANY Index and the Hestia criteria exhibited greater negative predictive value and a lower negative likelihood ratio than the remaining models. The incidence of bleeding at 6 months was 6.2% (95% HDI, 2.9-9.5%) in low/moderate-risk vs 12.7% (95% HDI, 10.1-15.4%) in high-risk (p-value=0.037) episodes. Of the outpatients, complications at 15 days were recorded in 2.1% (95% HDI, 0.7-4.0%) of the cases with EPIPHANY low/intermediate-risk vs 5.3% (95% HDI, 1.7-11.8%) in high-risk cases. Conclusion: We have validated the EPIPHANY Index in patients with incidental or symptomatic cancer-related PE. This model can contribute to standardize decision-making in a scenario lacking quality evidence.
Guided wave monitoring of pipelines

Guided wave sensors are commonly used in the oil and gas industry to inspect pipework for damage. Early sensor were detachable and designed for single inspections, but current best practice is to permanently attach sensors and take repeat readings. Known as a monitoring configuration, this approach offers potential benefits in terms of cost, defect detection capability and safety. There are however implementation challenges that are still to be resolved, particularly the need to compensate collected data for changes in environmental and operational conditions (EOCs). The interaction of guided waves with general corrosion is also poorly understood. This thesis seeks to address both issues, beginning with a finite element study of the interaction of guided waves with rough surfaces. These rough surfaces are a basic model for general corrosion and this study shows that attenuation seen in commercial inspections can be explained by significant scattering of waves by the rough surface. This scattering is shown to be a function of the rough surface characteristics, pipe diameter and inspection wave frequency. This study was computationally expensive and made possible by recently developed simulation tools, particularly graphics processing unit based solvers. The development and construction of these simulation tools is described in detail. The second major theme of this thesis is improved signal processing for monitoring data based on Independent Component Analysis [ICA]. ICA was applied to numerous example signals and found to correctly separate structural anomalies from surrounding noise. This technique was then compared to best practice techniques from industry (residual processing and singular value decomposition [SVD]) and it was found that SVD and ICA performed much better than residual processing under a range of conditions. In general ICA performed better than SVD, but was less robust to outlier behaviour. The framework used for this comparison is itself novel and is described.
High voltage, high power, full-bridge zero voltage switching PWM converter

The interaction of rectifier capacitance with the leakage inductance of the transformer in a high voltage, high power of full bridge PWM converter, resulting in severe voltage overshoot and ringing across the rectifiers. The drawbacks of several solutions presented were high losses, low efficiencies. The paper presents a soft switching full bridge PWM converter using saturable inductor and secondary active clamp. The nondissipative snubber completely eliminates the voltage overshoot and ringing across the rectifiers. The saturable inductor provides a wide ZVS load range. The principles of operation and design considerations are presented. The experimental verifications from 5 kW prototype converter operating at 100 kHz are presented.
Seismic Behavior Prediction Of Concentrically Braced Steel Frames

Concentrically braced steel frames (CBFs) are efficient and commonly used steel systems for resisting seismic loads through a complete truss action. In strong earthquake events, multi-storey concentrically braced steel frames (CBFs) are prone to form a storey-collapse mechanism after buckling and yielding of the braces in a storey. This thesis evaluates the seismic performance of steel concentrically braced frames (CBFs) in Abu Dhabi, UAE. The aim of this study is to assess the overall lateral capacity of multi-storey buildings and the associated sequence of formation of plastic hinges using inelastic pushover analysis technique. The time history analysis approach is employed to assess the local and global seismic performance of braced frame structures under various earthquake records representing the potential seismic loading scenarios. In addition, the adequacy of using inelastic pushover analysis as a simplified means to examine the seismic integrity of braced frame structures and to predict the sequence of development of plastic hinges within the system is evaluated. This study shows that under the expected level of Abu Dhabi’s seismicity the designed concentrically braced steel frames (CBFs) perform in an excellent manner by suffering of repairable damages with no life safety threatening. This study puts a step forward in the effort of spreading the knowledge of using the concentrically braced steel frames as lateral force resisting system in Abu Dhabi for mid and high rise buildings.
Mapping surface biofilms to improve the efficiency of water conveyance

Hydroelectric power systems use pipes and open channels to convey water over distances from a few hundred metres to many kilometres. The efficiency of water conveyance in these systems is affected by the surface roughness. Contributing factors are the surface roughness of the construction material or its coating, and the roughness caused by biofilms that accumulate over time on the surface. This paper describes photogrammetric methods that are being developed to measure the surface roughness of pipes and open channels in the Tasmanian hydroelectric power system, and to monitor the accumulation of biofilms. This work contributes to a cross-disciplinary study of biofilm accumulation and conveyance efficiency in hydroelectric power systems.
Device operation and physical mechanism of asymmetric junctionless tunnel field-effect transistors designed to suppress coupled short-channel/short-drain effects and promote on-current switching for ultralow-voltage CMOS applications

Scaled tunnel field-effect transistors (TFETs) endure severe short-channel and short-drain effects caused by direct source-to-drain and body-to-drain tunneling. This study numerically examined a Si-based asymmetric junctionless TFET (AJ-TFET) architecture for suppressing coupled short-channel and short-drain effects in and improving the on-current switching of TFET devices for ultralow-voltage CMOS applications. The junctional drain/body facilitates the extending of the off-state tunnel barrier into the drain, enhancing robustness against short-channel and short-drain effects. The junctionless source/body can minimize lateral coupling and thus lead to efficient switching in a TFET, thus generating steep on–off switching swings. The results revealed that in contrast to conventional PIN-TFETs, the AJ-TFET evaluated in this study exhibited considerably lower swing levels and higher current levels. The voltage-scaled AJ-TFET retained excellent subthreshold behaviors and short-channel robustness, offering adequate on-current levels along with minimized leakage levels. Incorporating high-k gate dielectrics into the devices enabled extra on-current boosting and swing minimization, further extending the deep-swing, high-current operation region. Because of their excellent on–off switching and on-current enhancement, the extremely scaled AJ-TFET could operate adequately at low gate and drain voltages (0.3–0.5 V); therefore, they are promising candidates for use in ultralow-voltage energy-efficient applications.
Pore pressure prediction using 2D Basin modeling technique

Overpressure and underpressure in the basin are mainly developed due to the disequilibrium compaction between the pore fluids and overburden pressure, and the heat flow/geothermal gradient in the rocks, leading to serious hazards in drilling operations due to the catastrophic well blowouts. Although some techniques have been used to explain the pore pressure mechanisms, there are still some missing gaps in the prediction. Basin modeling software is a very powerful tool as it incorporates various physical phenomena and can simulate the geological history of a sedimentary basin. Thus, a two-dimensional basin modeling software – TemisFlow, was used in the study. The present study was conducted at the Pelotas Basin, Brazil with the aims of (1) to build and run scenario test for pore pressure prediction of the Pelotas Basin, Brazil, (2) to identify the factors that control the pressure development, (3) to test the sensitivity of the parameters that control the pressure distribution, and (4) to evaluate the pressure distribution and pattern in the study area. The temperature model simulated by the software is calibrated with the field data provided in the well log as field pressure data is not provided. Nevertheless, calibration still can be done as the temperature at present and during the basin evolution is one of the parameters to pressure calculation in the model. Generally, the results show abnormal pressure zones are developed only in lower permeability of lithology – shale. Based on the simulations scenarios tested, the presence and generation of hydrocarbon in the Pelotas Basin also contribute a little to the development of overpressure in the basin. Based on the basin modeling results, the main overpressure mechanism in Pelotas Basin is still mainly due to compaction disequilibrium.
Compaction history based on porosity, pressure and temperature relation in Central Luconia province, offshore Sarawak

This study investigates the role of porosity in relation to temperature and pressure within Miocene-Pliocene sediments in Central Luconia province. The main objective is to understand the effect on porosity loss within Miocene-Pliocene sediments as part of the compaction of the sediments through time. The methodology involves seismic interpretation of 2D seismic lines and analysis of four wells over the central complex in Central Luconia province. Thick sedimentation was found within the clastic sediments of Cycle VI, indicating major clastic influx from the deltas and onshore of Sarawak during Pliocene. These clastic sediments had become a major source of weight in the offshore basin, inducing compaction within the older formations. Porosity distributions based on the wells showed that Cycle VI had the highest porosity in LH1 well with 33.77% porosity, while porosity within Cycle IV & V limestone showed an average porosity of 22% in all wells. Porosities within Cycle III and Cycle II were observed to be average of 16%. The porosity within the reservoir rock was reduced as the depth increased. This porosity reduction was relatively due to the compaction of the sediments, linked with the changes of pressure and temperature indicated by several evidences found in each well. Overpressure zone affects irregularity of porosity reduction with depth, whereas high temperature promotes diagenetic reaction that causes sudden porosity loss. Nevertheless, a sudden increase in porosity was also observed at the top of Cycle IV & V limestone due to a major drop in the sea level during the Early Late Miocene, which had encouraged the karstification process, inducing secondary porosity. This study has proved that compaction within Miocene-Pliocene sediments is not only related to the loss in porosity, but it involves changes in pressure and temperature regime of sediments and is highly dependent on the natural changes of sea level.
glucuronidation in rat small depends on and segment

UDP-glucuronosyltransferase (UGT) activity toward the flavonoid quercetin and UGT protein were characterized in 3 equidistant small intestine (SI) segments from 4, 12, 18, and 28 mo male F344 rats, n=8/age using villin to control for enterocyte content. SI microsomal intrinsic clearance of quercetin were increased 3- to 9-fold from 4 mo in the proximal and distal SI at 12 and 18 mo. Similarly, at 30 µM quercetin, SI microsomal glucuronidation activity was increased with age, 4.8- and 3.9-fold greater at 18 mo than 4 mo. Quercetin UGT regioselectivity was not changed by age. The distal SI preferentially catalyzed glucuronidation at the 7-position, whereas the proximal SI produced the greatest proportion of 4’- and 3’-conjugates. Enterocyte UGT content in different SI segments was not consistently changed with age. In the proximal SI, UGT1A increased 64 and 150 % at 12 and 18 mo and UGT1A1, UGT1A7, and UGT1A8 were also increased at 12 and 18 mo. However, age-related changes in expression were inconsistent in the medial and distal segments. Microsomal rates of quercetin glucuronidation and UGT expression were positively correlated with UGT1A1 content for all pooled samples (R = 0.467) and at each age (R= 0.538 to 0.598). UGT1A7 was positively correlated with total, 7- O - and 3-O - quercetin glucuronidation at 18 mo. Thus, age-related differences in UGT quercetin glucuronidation depend upon intestinal segment and are more pronounced in the proximal and distal segments, and may be partially related to UGT1A1 and UGT1A7 content. Data is modeled by Michaelis-Menten kinetics and is expressed as the estimate ± standard error of duplicate determinations. Abbreviations: gluc, glucuronide.
S UMMARY OF S TUDIES ON THE B LUE -G REEN A UTOFLUORESCENCE AND L IGHT T RANSMISSION OF THE O CULAR L ENS

This paper reviews previous work done to demonstrate the clinical relevance of the measurement of blue-green autoﬂuorescence and light transmission of the ocular lens ( (cid:108) =450 to 550 nm). These can be determined quantitatively with ﬂuorophotometry in a few seconds. Autoﬂuorescence and transmission values are determined in healthy volunteers, in patients with insulin-dependent diabetes mellitus, and in patients with untreated glaucoma or untreated ocular hypertension. The lens autoﬂuorescence of healthy volunteers increased linearly and transmission decreased exponentially with age. Each year of diabetes induced an increase of autoﬂuorescence equal to one extra year of age. Untreated glaucoma or ocular hypertension had no signiﬁcant effect on lens autoﬂuorescence and transmission. Increased autoﬂuorescence and decreased transmission values in comparison with values of a healthy population are proved to be indicative for an increased risk of developing cataract and the clinical usefulness of these measures is demonstrated. Diabetes is a risk factor for developing cataract while untreated glaucoma or ocular hypertension is not. © 1996 Society of Photo-Optical Instrumen-tation Engineers.
Stock Market Valuation Using Internet Search Volumes: US-China Stock Market Valuation Using Internet Search Volumes: US-China Comparison Comparison

Abstract Search engine query data, which provide information on individuals’ attention allocation, have been proven by scholars to be useful in interpreting financial market performance. This paper explores the use of search volumes in stock market valuation and seeks to identify underlying stock market differences between the U.S. and China by extracting search volume data from their respective dominant search engines – Google and Baidu. On the overall market level, this paper investigates how search terms about financial markets relate to weekly returns of important market indices in each country; on the individual stock level, search volumes of selected company names in each country’s stock market are used to study fluctuations in stock prices. Finally, a set of trading strategies are recommended after combining research results in this paper with search-based strategies proposed in previous studies.
UWS Academic Portal

This paper looks to explore the tacit dimension of practical wisdom or phronesis . It shows that recently the tacit dimension has been increasingly taken-for-granted in discussions of practical wisdom. Through a comparison of the work of Aristotle and Polanyi it shows that tacit knowledge is not a form of practical judgement, a process guided by practical judgement or a component of the knowledge that results from practical knowledge. Instead, it shows that it is one half of an ongoing process of action whereby an actor continuously draws particulars from experience based on his or her view of the good life – particulars which are then integrated to form a conception of the good life.