Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of the Collapse of Necrotic Femoral Head by CT and X-Ray Examinations before Hip Replacement Based on Intelligent Medical Big Data

It was to explore the effect of the CT and X-ray examinations before the hip replacement to predict the collapse of the necrotic femoral head under the classification of medical big data based on the decision tree algorithm of the difference grey wolf optimization (GWO) and provide a more effective examination basis for the treatment of patients with the osteonecrosis of the femoral head (ONFH). From January 2019 to January 2021, a total of 152,000 patients with ONFH and hip replacement in the tertiary hospitals were enrolled in this study. They were randomly divided into two groups, the study sample-X group (X-ray examination results) and based-CT group (CT examination results)—76,000 cases in each group. The actual measurement results of the femoral head form the gold standard to evaluate the effect of the two groups of detection methods. The measurement results of X-ray and CT before hip replacement are highly consistent with the detection results of the physical femoral head specimens, which can effectively predict the collapse of ONFH and carry out accurate staging. It is worthy of clinical promotion.
Clinical factors affecting the determination of radiotherapy-induced skin toxicity in breast cancer

Purpose Radiotherapy is essential for the treatment of breast cancer (BC). However, adverse effects may occur in healthy tissue, during treatment and even after several months. Although it is known that this clinical radiosensitivity is multifactorial, the factors involved are unknown yet. In this study, we evaluated the effect of these factors on the development of radiodermatitis in patients undergoing radiotherapy. Materials and Methods Demographic and lifestyle data collected during face-to-face interviews of 122 BC patients and data from clinical records were investigated. Most patients underwent conventional three-dimensional radiotherapy treatment. A total dose of 50 Gy was administered (2 Gy/day), followed by a boost in a tumor bed with a total dose of 18 Gy (2 Gy/day). Radiotoxicity was evaluated weekly using the Radiation Therapy Oncology Group classification system (range, 0 to 4, according to the severity). Results In the present study, 75.4% of patients presented acute skin toxic effects with different degrees of severity. In 25% of cases, these effects manifested at the end of the fourth week at a cumulative dose of 40 Gy. The association of grade ≥2 acute skin reactions with body mass index (BMI) and breast size and between grade 3–4 and age was positive compared with controls. However, the role of the other factors could not be confirmed. Conclusion Analysis of the factors related to individual radiosensitivity suggests that age, BMI and breast size play an important role in the development of acute skin toxicity during treatment. Particular attention to patients who present these characteristics would help to control treatment effectiveness and therefore optimize their quality of life.
Review on contact simulation of beveloid and cycloid gears and application of a modern approach to treat deformations

Gear drives are key components for all kinds of machines as well as of industrial equipment. Therein, beveloid gears and cycloid gears are increasingly used in industry. Gaining a more comprehensive understanding of those types of gears is essential. However, the measurement of the dynamic response of these gears is not an option due to the high cost of the required experiments. Along with the development of computer technology, several numerical tools and methods to study gears with standard and non-standard flank profiles have been introduced. Various works related to standard gears or beveloid and cycloid gears have been published. In this study, a contemporary review about the modelling and contact simulation of beveloid and cycloid gear drives will be given. Some studies will also be introduced to present an efficient approach to simulate contact forces and contact characteristics of gear wheels with standard and non-standard tooth profiles considering deformations too.
The Pseudomonas aeruginosa polysaccharide PSL is a social but non-cheatable trait in biofilms

1 School of Life Sciences, Centre for Biomolecular Sciences, University of Nottingham, University Park, Nottingham, United Kingdom 2 Department of Biology & Biochemistry, University of Bath, Claverton Down, Bath, United Kingdom 3 Department of International Health, Immunology, and Microbiology, University of Copenhagen, Copenhagen, Denmark 4 Center for Nonlinear Dynamics and Department of Physics, The University of Texas at Austin, 2515 Speedway, Stop C1610, Austin, TX 78712-1199, USA 5 School of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom 6 Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark 7 Department of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom
A STUDY TO INVESTIGATE THE EFFECT OF DIFFERENT TIME-SERIES SCALES TOWARDS FLOOD FORECASTING USING MACHINE LEARNING

Machine learning has been deemed to be a powerful approach in forecasting hydrological events such as flood using time-series historical data. A flood can be forecast in a manner of lead time whereby short-term forecast is up to 2 days, the medium forecast is between 2 to 10 days, and the long-term forecast is more than 10 days and several months of forecasts will have a seasonal lead time. Even though the determination of forecast lead time is normally bound with the purpose of operation i.e., daily operations or strategical, but the determination of time-series scale pattern to be input into the forecast model still impose a challenging task as it involves availability and variability of the data. Commonly, the hydrological data has a dynamic nature with non-stationary and non-linear characteristics. Therefore, it is important to choose dominant input to provide an accurate forecast. The objective of this study is to investigate the effects of different time-series scales of rainfall data from eight rainfall stations in Kelantan River towards the accuracy of forecasting water level at Kuala Krai station. Pre-processing techniques based on Mutual Information (MI) are also introduced to cater the variability of the data in finding the most dominant features as input to the forecast model. There are four scale patterns that have been investigated which consist of 7 days, 10 days, 14 days, and monthly. The forecasting analysis of all scale patterns were run against three machine learning models which are Artificial Neural Networks (ANN), Long-Short Term Memory (LSTM), and Adaptive Neuro-Fuzzy Inferences System (ANFIS) model. The results show that monthly scale pattern achieve the best performance compared to other scale patterns and LSTM is the best model for forecasting monthly water level. It indicates that longer time-series of scaled pattern may provide better forecasting accuracy and able to capture more information of the seasonal characteristics of the rainfall. Thus, it will largely benefit the flood management in reducing the flood risk and controlling its resources.
NEW CROSSOVER VIA HYBRID ANT COLONY SYSTEM WITH GENETIC ALGORITHM AND MAKING STUDY OF DIFFERENT CROSSOVER FOR TSP

The traveling salesman problem (TSP) is a very famous NP-hard problem in computer science and operations research. In this study, proposed a new hybrid crossover (SPMX) combining the shuffle crossover and partially mapping crossover which served to develop Genetic algorithm (GA) to solve this problem since crossover is the main component of GA. And, apply the proposed SPMX on hybrid ant colony system with GA with Ant colony system (ACS), which called by (ACSGA) to solve TSP. Experimental results on some well-known TSPLIB instances of different types and sizes. The obtained comparative study clearly demonstrates the utility of the proposed a (SPMX) to enhance ACSGA for resolving TSP and the distance decrease by 0.82% with average 0.47%.
A study of the occupational health function among female textile workers

Reduction of respiratory function among textile workers in the textile industry has been observed since the 1970s. A contaminant of raw cotton fiber and cotton dust, has been proposed as a affecting agent that may deteriorate the respiratory function. Present study aimed to find the factors associated with the deterioration of respiratory function among female textile workers. The sample consisted of 243 men above the age of 20 years who had worked for at least 3 months years in a textile factory and 235 female non textile workers of same area were studied. All the respondents were interviewed by a pretested questionnaire to gather information regarding the chest symptoms, certain personal characteristics and occupational history. Statistical analyses like Chi-square and odds ratio was done to determine the significant difference between female textile workers and female non textile workers. Univariate analysis of the factors for symptomatic byssinosis showed that dusty worksites, heavy smoking and duration of service years were significant. Logistic regression analysis showed that working in the scouring (odds ratio 11.0), spinning (odds ratio 4.7) and weaving sections (odds ratio 2.6), heavy smoking (odds ratio 12.4) and more than 10 years of service (odds ratio 2.8) were independent significant risk factors. Efforts to reduce dust levels in the working environment and to discourage smoking among textile workers need to be strengthened to minimize the risk of developing byssinosis. Key words: Occupational health, respiratory problems, textiles workers, non textiles workers, FEV 1.0.
ADVISOR: A computer-aided material handling equipment selection system

This paper develops and describes a systematic computer-assisted methodology for the selection of material handling equipment (MHE). A microcomputer based system called ADVISOR models the material handling equipment selection process and employs information on 77 of the most common equipment types used in material transport, positioning, unit formation, and storage. The system identifies the appropriate equipment type for an application in two stages. At the primary stage, potential equipment types are identified through the use of physical requirements of the material handling activities specified by users. Eligible equipment are ranked according to their normalized accumulated rating and placed in a candidate equipment list. After this, a second stage involving an economic analysis for each eligible equipment is performed. The evaluation criteria provided by ADVISOR include present worth (PW). equivalent uniform annual cost (EUAC), return on investment (ROI), and payback period(PP) methods. Through ADVIS.
Otolith microchemistry suggests probable population structuring in the Indian Ocean for the broadbill swordfish Xiphias gladius

Variation in otolith elemental fingerprints was investigated in the broadbill swordfish (Xiphias gladius) to complement genetic data obtained by next generation sequencing in the framework of a collaborative project on population stock structure of tuna, billfish and sharks of the Indian Ocean (PSTBS-IO). Swordfish specimens for this work were sampled in the southwest (SWI), west central (WCI) and southeast (SEI) regions of the Indian Ocean. A total of 70 otoliths (30 from SWI and 20 from each WCI and SEI) were selected and the elemental signatures of their cores were analysed by LA-ICP-MS to investigate potential differences in spawning origin among regions. Among the 15 chemical elements analysed, only Mg, P, Sr, Ba and B were above detection limits and significantly contributed to the variation in otolith core composition. Based on differences in these five elements, three groups of distinct multi-elemental signatures, denoting potentially discrete spawning origins (SpO), were identified using hierarchical clustering based on Euclidian distances. All SpO identified apparently contributed to the swordfish stocks of the three regions sampled, but in different proportions. SpO-1 was the most common spawning source among the fish sampled (49%); it probably corresponds to the swordfish spawning ground located between northeast Australia and Indonesia. SpO-3 was found to provide 34% of the total fish analysed, but mainly in SWI (53%) and WCI (35%). It could correspond to the spawning grounds reported for the species in the central and southwestern Indian Ocean. Lastly, SpO-2, which contributed to only 17% of the total fish analysed (mainly in SEI and WCI), may correspond to the spawning ground previously reported in the northwestern Indian Ocean, off the Somalian coast. Although our results show mixed origins in the fish sampled at each sampling location, the contrast in otolith core fingerprints between SWI and SEI otoliths suggests differences in main spawning origin, at least for the swordfish captured in these two regions of the Indian Ocean. Additional analyses are needed to consolidate these results, as well as information on the spatiotemporal distribution of chemical tracers in the water masses of the Indian Ocean to assign regions to otolith elemental signatures.
ASSESSMENT OF QUANTIZATION ARTIFACTS IN SDR AND HDR AND CNN-BASED CORRECTION

Most video contents are encoded using 8 bits per color channel, offering 256 possible values for each component. This has been sufficient for most traditional uses, but with the increased adoption of high dynamic range (HDR) technologies, standard dynamic range (SDR) content, may be up-converted to HDR, leading to an amplification of certain artifacts. Quantization artifacts in particular, taking the form of false contours, may become more visible after luminance expansion, especially in bright image areas. To correct such artifacts, debanding methods first aim at distinguishing between real image edges and contours due to quantization, and follow by filtering steps to correct them. Different criteria of visibility may be employed, but in all cases, the images are considered as they are. Nevertheless, when converting to HDR, if banding is corrected as a pre-process, the visibility of false contours should be assessed with this conversion in mind. To this end, in this work, we perform a series of user studies to assess different debanding approaches both in SDR and up-converted HDR images, exploring how the visibility of banding changes with luminance. We then discuss how CNN-based approaches could be extended to consider banding visibility in the context of luminance expansion.
CCIDE_A_340158 531..539

1Department of Pediatric Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia; 2King Abdulaziz Medical City, National Guard Health Affairs, Jeddah, Saudi Arabia; 3Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia; 4Department of Pediatric Dentistry, Ministry of Health, Jeddah, Saudi Arabia; 5Department of Restorative Dentistry, Princess Noura University, Riyadh, Saudi Arabia Background: Parental preferences and attitudes strongly influence dentists’ choices for managing children’s behavior in clinics. This study aimed to assess parental attitudes toward two behavior management technique (BMTs)—nitrous oxide (N2O) sedation and/or protective passive stabilization by papoose board (PB)—before and after their children received dental treatment at two referral centers in Jeddah, Saudi Arabia. Methods: Participants were parents of healthy children who required dental treatment under N2O and/or PB over an 18-month period. Before and after dental treatment, parents answered a questionnaire on their attitudes toward BMTs used on their children. Parents were divided into three groups: Group 1 (parents of children who received N2O), Group 2 (parents of children who received PB), and Group 3 (parents of children who received both N2O and PB). Results: Out of the 132 parents who answered the questionnaire, 106 (80.3%) were in Group 1, 10 (7.6%) in Group 2, and 16 (12.1%) in Group 3. More children of parents with low monthly family incomes were in Group 3 than Group 1 compared to other family-incomes. Conclusion: Parental attitudes toward N2O and/or PB improved after their children experienced BMTs. The future use of PB alone with their child’s sibling was parents’ least preferred BMT (p = 0.001).
Inequality in India Declined During COVID

We use a large, representative panel data set from India with monthly data on household finances to examine the incidence of economic harms during the COVID pandemic. We observe a sharp spike in poverty, peaking during India’s sharp but short lockdown. However, there was a striking decrease in income inequality outside the lockdown. There was a smaller decrease in consumption inequality, likely due to consumption smoothing. Evidence supports two mechanisms for the decline in income inequality: the capital income of top-quartile earners covaries more with aggregate income, and demand for labor fell more for higher quartiles. *Gupta: New York University; Malani: University of Chicago; Woda: University of Chicago. Correspondence: amalani@uchicago.edu. We thank Satej Soman, Sabareesh Ramachandran, Kaushik Krishna and Mahesh Vyas for help with Consumer Pyramids Household (CPHS) data. We thank Mushfiq Mobarak, Cynthia Kinnan, Matt Notowodigdo, Viral Acharya, Satej Soman, Sabareesh Ramachandran, and seminar participants at the University of Chicago Micro Workshop, IIM Calcutta-NYU Stern India Research Conference, CAFRAL, the CPHS Research Seminar and the University of Chicago Law School for comments. We thank Sabareesh Ramachandran and Satej Soman for assistance with COVID data. Malani acknowledges funding from the Becker-Friedman Institute at the University of Chicago to purchase a subscription to the Consumer Pyramids Household Survey and the support of the Barbara J. and B. Mark Fried Fund at the University of Chicago Law School.
Secreted Phospholipases A2 - not just Enzymes: Revisited

Secreted phospholipases A2 (sPLA2s) participate in a very broad spectrum of biological processes through their enzymatic activity and as ligands for membrane and soluble receptors. The physiological roles of sPLA2s as enzymes have been very well described, while their functions as ligands are still poorly known. Since the last overview of sPLA2-binding proteins (sPLA2-BPs) 10 years ago, several important discoveries have occurred in this area. New and more sensitive analytical tools have enabled the discovery of additional sPLA2-BPs, which are presented and critically discussed here. The structural diversity of sPLA2-BPs reveals sPLA2s as very promiscuous proteins, and we offer some structural explanations for this nature that makes these proteins evolutionarily highly advantageous. Three areas of physiological engagement of sPLA2-BPs have appeared most clearly: cellular transport and signalling, and regulation of the enzymatic activity of sPLA2s. Due to the multifunctionality of sPLA2s, they appear to be exceptional pharmacological targets. We reveal the potential to exploit interactions of sPLA2s with other proteins in medical terms, for the development of original diagnostic and therapeutic procedures. We conclude this survey by suggesting the priority questions that need to be answered.
Mitigating Epistemic Uncertainty in Structural Identification: Case Study for a Long-Span Steel Arch Bridge

Characterization of constructed civil-engineering systems through structural identification (St-Id) has gained increasing attention in recent years due to its potential to enable more effective infrastructure asset management and performance-based engineering. Although there have been recent advances that mitigate the challenges posed by aleatory (random) uncertainty, there are many remaining challenges associated with epistemic (bias) uncertainty that often have a more critical impact on the reliability of St-Id (especially with applications to constructed systems). The objective of this paper is to illustrate various sources of epistemic uncertainty and describe mitigation approaches by detailing the St-Id of a long-span steel arch bridge. This application includes a priori modeling, ambient vibration monitoring, data processing, feature extraction, and finite-element (FE) model correlation. Following a description of the St-Id, the impact of various modeling uncertainties on the calibrated FE model is .
Dynamic performance of the Confederation Bridge due to traffic and wind

This paper describes results from a study of the dynamic performance of the Confederation Bridge during traffic load tests and a storm with high winds that occurred at the bridge site on 7 November 2001. The traffic load tests were conducted over a three-span segment of the bridge and consisted of single and double truck configurations at different speeds. The winds during the storm of 7 November 2001 were the strongest that have ever been measured at the bridge site since the opening of the bridge. The vibrations of the bridge during both the load tests and the storm were recorded by a network of 76 accelerometers. By processing the recorded vibrations, vertical deflections and dynamic amplification factors due to the traffic load tests and vertical and lateral deflections due to the wind during the storm were computed. The computed values were compared with those used in the design. It was found that both the deflections and the dynamic amplification factors were much smaller than the design values.Key .
CCID_A_339627 1889..1897

1Department of Dermatology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510000, People’s Republic of China; 2Neonatal Intensive Care Unit, Zhujiang Hospital, Southern Medical University, Guangzhou, 510000, People’s Republic of China; 3Department of Dermatology, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, People’s Republic of China Purpose: The purpose of this study was to use a murine model of psoriasis to examine the effect of total glycosides of paeony (TGP) on psoriatic skin lesions and on the expression of vascular endothelial growth factor (VEGF) in skin lesions and blood. Methods: A murine model of psoriasis was produced by shaving the backs of the mice and applying 5% imiquimod cream, 50 mg, to the backs of the mice once a day. Mice were killed on day 8, and skin and blood samples were obtained for histopathological examination and analysis of VEGF mRNA expression. Results: By day 8 of the application of imiquimod cream, skin lesions characteristic of psoriasis were evident, and histopathological examination of skin sections showed changes consistent with psoriasis (corneum thickening and parakeratosis, attenuation of the stratum granulosum, thickening of the stratum spinosum, and lengthening of the epidermal ridge). In the treatment group, 7 days of treatment with TGP resulted in resolution of the skin lesions, and histopathological examination showed the epidermis and dermis are approximately normal, without corneum thickening, hyperkeratosis, and parakeratosis. On day 7 of treatment, skin expression of VEGF mRNA was significantly lower in the treatment group than in the group that did not receive treatment (p < 0.05). Blood VEGF mRNA expression was not different between the groups. Conclusion: TGP is effective for the treatment of psoriasis and may act by decreasing lesion VEGF mRNA expression.