Miracle-dz/UniFAR-FTUs huggingface dataset:
Prospects and Challenges of Using Lignin for ÿermoplastic Materials

Lignin is a multifunctional biopolymer with high application potential in the synthesis of thermoplastic materials. Industrial and investigational lignins have been incorporated into various commercial polymers, including biobased polymers, to improve their biodegradability, cost, and thermomechanical stability. Lignin is also expected to bring additional beneõts to the formulations, such as ôame retardancy, UV-protecting ability, and antioxidant and anti-weathering capacity. Strategies focused on lignin size reduction, fractionation, and modiõcation via esteriõcation, etheriõcation, and graó copolymerization, and plasticization and compatibilization have been employed to improve the physicochemical properties of lignin-based thermoplastic materials as promising alternatives to petroleum-based plastics.
Morphological Variation of the Mastoid Region in Modern Chinese Skull

Because of the complex external surface morphology and internal structure, the temporal bone is an important source of information on palaeoanthropological research. However, the definition of some of the characteristics of the temporal bone, population distribution and the value of evolution has been controversial. One reason for these challenges is the lack of research and data about variation and morphology of modern crania. Therefore, this paper focuses on a complex region the posterior mastoid region. Through observation • 75 • 1 期 贺乐天等:现代中国人颞骨乳突后部的形态变异 and our analysis, we noted the following results. Except for the development level of the juxtamastoid process affected by sex, the occurrence rate and development of the mastoid notch, occipitomastoid crest and occipital groove are not affected by region or sex. The characteristic features of modern Chinese people are a narrow and deep mastoid notch, prominent juxtamastoid process, weak occipital groove and occipitomastoid crest. The mastoid notch, anterior part of the digastric groove (obliterated), juxtamastoid process, occipital groove and the occipitomastoid crest show internal variability and change over time. Some morphological traits of the mastoid region that are considered to belong to Neandertals have appeared on contemporary and fossil men in China. In this paper, the morphology of the posterior of mastoid region of Chinese Homo sapiens (late Pleistocene) is close to that of modern Chinese people.
STATUS CONNECTIVITY INDICES OF CARTESIAN PRODUCT OF GRAPHS

In this paper, we establish one of the recent topological indices called the first status connectivity index S1(G) = ∑ uv∈E(G) [σG(u) + σG(v)] and second status connectivity index S2(G) = ∑ uv∈E(G) [σG(u)σG(v)] of Cartesian product of two simple graphs are determined. Also these indices are computed for nanotube, nanotorus, grid and cartesian product of complete graphs.
Review of Non-Technical Losses Identification Techniques

Illegally consumption of electric power, termed as non-technical losses for the distribution companies is one of the dominant factors all over the world for many years. Although there are some conventional methods to identify these irregularities, such as physical inspection of meters at the consumer premises etc, but it requires large number of manpower and time; then also it does not seem to be adequate. Now a days there are various methods and algorithms have been developed that are proposed in different research papers, to detect non-technical losses. In this paper these methods are reviewed, their important features are highlighted and also the limitations are identified. Finally, the qualitative comparison of various non-technical losses identification algorithms is presented based on their performance, costs, data handling, quality control and execution times. It can be concluded that the graph-based classifier, Optimum-Path Forest algorithm that have both supervised and unsupervised variants, yields the most accurate result to detect non-technical losses.
Terrain Traversability Prediction for Off-Road Autonomous Driving

: In this paper, we focus on the problem of estimating the traversabil-1 ity of terrain for autonomous off-road navigation. To produce dense and accu-2 rate local traversability maps, a robot must reason about geometric and semantic 3 properties of the environment. To achieve this goal, we develop a novel Bird’s 4 Eye View Network (BEVNet), a deep neural network that directly predicts dense 5 traversability maps from sparse LiDAR inputs. BEVNet processes both geometric 6 and semantic information in a temporally consistent fashion. More importantly, it 7 uses learned prior and history to predict traversability in unseen space and into the 8 future, allowing a robot to better appraise its situation. We quantitatively evaluate 9 BEVNet on both on-road and off-road scenarios, and show that it outperforms a 10 variety of strong baselines. 11
Effect of Helicobacter Pylori on iron deficiency anemia

DOI: 10.4328/ACAM.20760 Received: 2021-06-26 Accepted: 2021-07-13 Published Online: 2021-07-24 Printed: 2021-08-01 Ann Clin Anal Med 2021;12(8):929-931 Corresponding Author: Mehmet Agin, Department of Pediatric Gastroenterology, Hepatology and Nutrition, Van Education and Research Hospital, Van, Turkey. E-mail: drmehmet47@yahoo.com P: +90 506-801-1083 Corresponding Author ORCID ID: https://orcid.org/0000-0001-6177-2635 Abstract Aim: In children, although the most common causes of Iron Deficiency Anemia (IDA) are malnutrition, not consuming foods with iron, and parasitic infection, its relations with Helicobacter Pylori (HP) infection has not been clarified yet. For this reason, our purpose was to investigate the relations between HP infection and IDA in our study. Material and Methods: A total of 111 patients, who were admitted to our Pediatric Gastroenterology Clinic due to recurrent abdominal pain and dyspeptic complaints, and whose gastric tissue biopsies were performed with upper gastrointestinal system endoscopy, were included in the study. The cases were divided into two groups as HP positive and HP negative. Both groups were compared in terms of hemoglobin, ferritin, serum iron, and total iron-binding capacity. Results: 58% of the cases included in the study were HP (+), and 42% were HP (-);69% of them were females, and 31% were males. The mean age of HP (+) cases was 14.5 years, and the mean age of HP (-) cases was 15 years; no statistically significant differences were detected in this respect. No significant differences were detected between hemoglobin, iron, total iron-binding capacity, and ferritin levels between HP (+) and HP (-) cases. Discussion: The presence of HP has no effects on iron deficiency anemia.
Improved BP-NN Controller of PMSM for Speed Regulation

We have studied the speed regulation of the permanent magnet synchronous motor (PMSM) servo system in this paper. To optimize the PMSM servo system's speed-control performance with disturbances, a non-linear speed-control technique using a back-propagation neural network (BP-NN) algorithm for the controller design of the PMSM speed loop is introduced. To solve the slow convergence speed and easy to fall into the local minimum problem of BP-NN, we develope an improved BP-NN control algorithm by limiting the range of neural network outputs of the proportional coefficient Kp, integral coefficient Ki of the controller, and add adaptive gain factor β, that is the internal gain correction ratio. Compared with the conventional PI control method, our improved BP-NN control algorithm makes the settling time faster without static error, overshoot or oscillation. Simulation comparisons have been made for our improved BP-NN control method and the conventional PI control method to verify the proposed method's effectiveness.
Pollinator Management- A Realistic Way To Improve Yield of Vegetables and Spices

www.justagriculture. in P ag e1 Abstract A copious amount of insects visits the diverse species of vegetables and spices during the entire flowering initiation to crop harvest stage for foraging. Ideal pollinators such as butterflies, birds, ants, bees play a vital role in pollination to enhance yield and provide a comprehensive benefit by improving crop quality. Agricultural intensification and shrinking pollination services cause misleading of International policies. A substantial dwindling in pollinator population leads to alternations in food, nesting habits, chemical poisoning, human activity, climate vagaries and smuggling is a condemning issue for crop production. Consequently, preservation and safeguarding of pollinators through the implementation of agro-environmental conventions to escalate plant resources and nest sites for bees are fundamental.
Pregnancy termination and potential psychiatric outcomes

In the United States in 2011, approximately one million pregnancies were terminated [1]. Approximately half of all pregnancies were unintended and 40 percent of these were terminated, meaning that 21 percent of all pregnancies were aborted. The number of induced abortions declined by 13 percent between 2008 and 2011, but the number of terminations of intended pregnancies has increased due to advances in prenatal testing for fetal abnormalities [1-3]. Although the psychiatric impact of pregnancy termination is controversial, most studies, especially higher-quality studies, suggest that induced abortion is not associated with an increased risk of serious mental health disorders [4-10]. It is important to note that the psychological context of pregnancy termination varies depending upon whether the reason is an unwanted pregnancy, multiple gestation, or fetal anomalies.
Fast Corotated Elastic SPH Solids with Implicit Zero-Energy Mode Control

We develop a new operator splitting formulation for the simulation of corotated linearly elastic solids with Smoothed Particle Hydrodynamics (SPH). Based on the technique of Kugelstadt et al. [2018] originally developed for the Finite Element Method (FEM), we split the elastic energy into two separate terms corresponding to stretching and volume conservation, and based on this principle, we design a splitting scheme compatible with SPH. The operator splitting scheme enables us to treat the two terms separately, and because the stretching forces lead to a stiffness matrix that is constant in time, we are able to prefactor the system matrix for the implicit integration step. Solid-solid contact and fluid-solid interaction is achieved through a unified pressure solve. We demonstrate more than an order of magnitude improvement in computation time compared to a state-of-the-art SPH simulator for elastic solids. We further improve the stability and reliability of the simulation through several additional contributions. We introduce a new implicit penalty mechanism that suppresses zero-energy modes inherent in the SPH formulation for elastic solids, and present a new, physics-inspired sampling algorithm for generating high-quality particle distributions for the rest shape of an elastic solid. We finally also devise an efficient method for interpolating vertex positions of a high-resolution surface mesh based on the SPH particle positions for use in high-fidelity visualization.
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models

Modeling the world can benefit robot learning by providing a rich training signal for shaping an agent's latent state space. However, learning world models in unconstrained environments over high-dimensional observation spaces such as images is challenging. One source of difficulty is the presence of irrelevant but hard-to-model background distractions, and unimportant visual details of task-relevant entities. We address this issue by learning a recurrent latent dynamics model which contrastively predicts the next observation. This simple model leads to surprisingly robust robotic control even with simultaneous camera, background, and color distractions. We outperform alternatives such as bisimulation methods which impose state-similarity measures derived from divergence in future reward or future optimal actions. We obtain state-of-the-art results on the Distracting Control Suite, a challenging benchmark for pixel-based robotic control.
Conformation of heparin pentasaccharide bound to antithrombin III

The interaction, in aqueous solution, of the synthetic pentasaccharide AGA*IA M (GlcN,6-SO $ a1-4GlcAb1-4GlcN,3,6SO $ a1-4IdoA,2-SO $ a1-4GlcN,6-SO $ aOMe; where GlcN,6-SO $ is 2-deoxy-2-sulphamino-a-d-glucopyranosyl 6-sulphate, IdoA is l-iduronic acid and IdoA2-SO $ is l-iduronic acid 2-sulphate), which exactly reproduces the structure of the specific binding sequence of heparin and heparan sulphate for antithrombin III, has been studied by NMR. In the presence of antithrombin there were marked changes in the chemical shifts and nuclear Overhauser eects (NOEs), compared with the free state. On the basis of the optimized geometry of the pentasaccharide the transferred NOEs were interpreted with full relaxation and conformational
Analisis Kepuasan Konsumen Menggunakan Metode Modified Servqual (Studi Kasus Di Waroeng Spesial Sambal Ss)

Restaurant business is one of the types of businesses that continues to grow in Indonesia. With the potential of this type of business, restaurants are competing to provide the best service for consumers. Waroeng Special Sambal is one of the restaurants that located in Yogyakarta. Waroeng SS has been serving consumers for years, nevertheless there are things that are felt not to meet with consumer expectations. The purpose of this study is to determine the quality of service in Waroeng SS restaurant, determine the priority of improvements, and determine the perceptions and expectations of consumers using the modified servqual method. The result of this study indicate that the tangible dimension for direct consumers has the lowest value and for consumers nearby, the dimensions that have the lowest performance is responsiveness. The attribute that has the lowest value is “the size of parking space” for direct consumers and “the parking space for vehicle onubstructive” for consumers nearby.
LOCATION OF PLANTED FORESTS INFLUENCING THE WOOD COMMERCIALIZATION IN THE STATE OF GOIAS, BRAZIL

Planted forests have grown substantially in Brazil, especially in states such as Goias. While they may compete with native forest areas, planted forests also present themselves as economically viable solutions for the recovery of degraded areas. This study presents the market of wood in the Brazilian state of Goias analyzing the interaction between supply and demand curves of the product in a partial equilibrium analysis. In this sense, it is essential to understand the spatial issue to offer production by planning the transaction costs related to transportation. Therefore, the distribution of companies is linked to the production chain, mapped by means of labor market bases (Ministry of Labor), wood production (IBGE) and other industry data. The spatial analysis of the planted forest area (silviculture) in Goias between 2000 and 2016 was based on data from the time series, from mapping provided by the MapBiomas Project. In Goias, considering all sectors of the forest production chain, in 2015 alone, revenues exceeded US$ 1.24 billion and public collections US$ 24 million, employing more than 36 thousand people in 7 thousand firms. Thus, it is fundamental to understand this process, identifying the main determinants of planted forests, through statistical and spatial analysis. From a spatial point of view, planted forests and companies involved in wood production are relatively spread throughout the state, except for the state capital of Goiania, which has a large number of timber trade and manufacturing firms.
Potential Effects of Sage powder, Sesame and Olive Oils on Lipid Profile and Liver Functions of Non-Alcoholic Fatty Liver Rats.

The aim of this study was to investigate the effects of sage, sesame and olive oils alone and in combination with sage on total lipid (TL), total cholesterol (TC), triglyceride (TG), serum lipoprotein fractions (HDL-c, LDL-c and VLDL-c), liver enzymes and antioxidant enzymes, as well as histological changes of liver in obese nonalcoholic fatty liver disease (NAFLD) albino rats. A total of 72 adult male albino rats weighing (200 ± 10g) were used in this study. The rats were divided into two main groups: The first group (8 rats) fed on basal diet (BD) as control negative group (-ve). The second main group (64 rats) fed on high fat diet (HFD) for (8) weeks to induce non-alcoholic fatty liver disease (NLFLD). then rats were divided into (8 subgroups). One (8 rats) fed (HFD), as positive control Hadeer Ashraf Abd El-Aziz Abd El-Megeid, Seham A.M. Tharwat, Sonia S. El-Marasy and Ahmed E. Basyony. 62 group (+ve). The other (7 subgroups) fed on modified (HFD), one of them by adding 5% sage. The other sex subgroups were fed on modified high fat diet (MHFD) by replace 20% sheep tallow (ST) by 20% sesame oil (SO), 20% olive oil (OO) and mixed 10% (SO) with 10% (OO) without or with sage for (8 weeks). Results revealed that, (MHFD) by adding 5% sage or by replacing 20% (ST) to 20% from (SO), (OO) and 20% mixed between them (1:1 W/W) without or with 5% sage induced a significant decrease in serum liver enzymes (Aspartate AminotransferaseAST, Alanin Aminotransferase ALT, and Alkaline phosphates ALP), total cholesterol, triglyceride, LDL-c and VLDL-c, while results revealed a significant increase in HDL-c level. Also results revealed a statistical significant increase in antioxidant enzymes glutathione peroxidase, superoxide dismutase and catalase antioxidants, as compared to the (+ve) control group. Histopathological examination revealed that only (NAFLD) group fed on (MHFD) containing 20% mixed (SO) with (OO) (1:1 W/W) plus 5% sage showed the best ameliorates of fatty liver. In conclusion, replacing 20% from (ST) by 20% from mixed (SO) with (OO) (1:1 W/W) plus 5% sage, ranged somewhere between them rise the effects of either component alone and induced the greatest improvement in case of (NAFLD) fed on (HFD).
Joint COCO and Mapillary Workshop at ICCV 2019: Panoptic Segmentation Challenge Track Technical Report: Explore Context Relation for Panoptic Segmentation

This technical report presents an effective method for the panoptic segmentation. For the stuff segmentation, we propose a parallel attention module and multi-stage context branch, which take advantage of the context relations. Besides, we propose a Top-K normalization method for individual model and an adaptive scale method for the model ensemble. For the instance segmentation, we adopt a classic two-pass pipeline. Our ensemble model achieves 56.43 mIOU on the stuff segmentation validation set. By fusing the stuff segmentation and the instance segmentation result, we obtain 54.5 in PQ on the test-dev set.
Supernumerary teeth – place of occurrence , epidemiology , correlation between occurrence of STs and selected predisposing factors and detection of STs

Most ST’s are detected in anterior region of the maxilla. Mesiodens is the most common type of ST. Their presence can give a lot of clinical problems. Multiple hyperdontia mainly occurs with complex syndromes like cleidocranial dysostosis. The etiology of STs is still not completely understood. They are classified according to their form and location. This study aims to present the epidemiological characteristics of STs in Great Poland based on retrospective study group comprised of the medical records of 88 patients who were treated in the Clinic and Department of Oral Surgery and Periodontology, Poznan University of Medical Sciences from January 2013 to December 2018.
The Rescue of American International Group Module E: Maiden Lane III

Starting in mid-2007, American International Group (AIG) faced increasing collateral calls from counterparties looking to protect their positions in credit default swap (CDS) contracts that AIG had written on residential and commercial collateralized debt obligations (CDOs) (US COP 2010, 28-30). Per these agreements, the AIG parent company was responsible for insuring the value of the CDOs against the risk of a negative credit event, such as default (GAO 2011, 5; US COP 2010, 29-30). AIG’s immediate need for liquidity on September 16, largely driven by a securities lending program and those collateral calls, prompted the Federal Reserve to lend the company $14 billion, a loan that grew into an $85 billion revolving credit facility (Baxter and Dahlgren 2010, 2, 4). But the company continued to face pressing liquidity needs, market losses, and rating agency downgrades. The Fed and Treasury decided they had to restructure AIG’s federal assistance to shore up its balance sheet and reassure market participants and rating agencies about the company’s viability (Baxter and Dahlgren 2010, 4). As part of that restructuring, the Federal Reserve Board authorized the creation of Maiden Lane III (ML III), a special-purpose vehicle that would purchase CDOs from AIG’s counterparties in exchange for the cancellation of their CDS contracts. This would end the liquidity-draining collateral calls and cap AIG’s exposure to further losses on the CDS contracts (FRBNY 2017; US COP 2010, 73-74). The purchase was funded by a $24.3 billion senior loan from the Federal Reserve Bank of New York and a $5.0 billion equity contribution from the AIG parent company FRBNY n.d. 2). The establishment of ML III helped to lessen AIG’s exposure to the deteriorating CDO market, end unmanageable collateral calls, and avoid downgrade pressures (Baxter and Dahlgren 2010, 4).
Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19

Natural language processing (NLP) plays a significant role in tools for the COVID-19 pandemic response, from detecting misinformation on social media to helping to provide accurate clinical information or summarizing scientific research. However, the approaches developed thus far have not benefited all populations, regions or languages equally. We discuss ways in which current and future NLP approaches can be made more inclusive by covering low-resource languages, including alternative modalities, leveraging out-of-the-box tools and forming meaningful partnerships. We suggest several future directions for researchers interested in maximizing the positive societal impacts of NLP.
Predicting Vehicles' Longitudinal Trajectories and Lane Changes on Highway On-Ramps

Vehicles on highway on-ramps are one of the leading contributors to congestion. In this paper, we propose a prediction framework that predicts the longitudinal trajectories and lane changes (LCs) of vehicles on highway on-ramps and tapers. Specifically, our framework adopts a combination of prediction models that inputs a 4 seconds duration of a trajectory to output a forecast of the longitudinal trajectories and LCs up to 15 seconds ahead. Training and Validation based on next generation simulation (NGSIM) data show that the prediction power of the developed model and its accuracy outperforms a traditional long-short term memory (LSTM) model. Ultimately, the work presented here can alleviate the congestion experienced on on-ramps, improve safety, and guide effective traffic control strategies.
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras

We introduce DROID-SLAM, a new deep learning based SLAM system. DROID-SLAM consists of recurrent iterative updates of camera pose and pixelwise depth through a Dense Bundle Adjustment layer. DROID-SLAM is accurate, achieving large improvements over prior work, and robust, suffering from substantially fewer catastrophic failures. Despite training on monocular video, it can leverage stereo or RGB-D video to achieve improved performance at test time. The URL to our open source code is https://github.com/princeton-vl/DROID-SLAM.