nils-herrmann/clean_scirepeval huggingface dataset:
Research and application of reaming subsidence control in horizontal directional drilling
Year: 2018

In the reaming operation of horizontal directional drilling, a centralizer is often attached to a reaming bottomhole assembly (R BHA) to change the reamer side force. This can address the problem of large diameter reamer subsidence. However, there is no scientific basis for how to attach the centralizer in the R BHA. In this paper, an equation for the reamer side force in a two centralizer R BHA is derived, based on three moment equations. Then, using the Drucker Prager criterion as a rock constitutive relation and the shear criterion for predicting damage initiation, a nonlinear dynamic finite element model is established using the finite element method (FEM) In addition, the trajectory of the reamer and the failure of the drilling tools are analyzed. The study results show that the combination of the analytical and finite element methods can effectively improve the installation accuracy of the centralizer. The attachment range of the centralizer can be quickly determined by a simple calculation of the analytical method, and the FEM (with high computational precision) can be used to analyze the subsidence control capacity of the R BHA in detail. Application to a field case demonstrates the feasibility of the method, and the study conclusions provide a scientific basis for the centralizer attached to the R BHA, which is important for controlling reaming subsidence.
Impact of globlisation on Life Insurance Company in India
Year: 2012

The Indian life insurance industry has its own origin and history, since its inception. It has passed through many obstacles, hindrances to attain the present status. The income earning capacity of an individual citizen of a nation and the eagerness and awareness of the general public are the two key determinants of the growth of any insurance industry. For that they should provide wider and mass employment opportunities and sound educational system. More over, the general public must be inculcated with more knowledge, awareness and importance about life insurance, and these steps help to boost the growth of insurance industries. In this Indian context, the insurance habit among the general public during the independence decade was quite rare and in the following decades, it slowly got increased. There was a remarkable improvement in the Indian insurance industry soon after the acceptance and adaptation of Liberalization, Privatization, and Globalization (LPG) in the year 1991. After 1991 the Indian life insurance industry has geared up in all respects, as well as it is being forced to face a lot of healthy competition from many national as well as international private insurance players. The fall in the savings rate and increased competition in the primary market and particularly the aggressive mobilization by the Mutual Fund posed serious challenges before LIC. The present paper reviews the impact of globlisation, its threats and how to avoid those threats.
Becoming a Robot Overcoming Anthropomorphism with Techno Mimesis
Venue: CHI
Year: 2020

Employing anthropomorphism in physical appearance and behavior is the most widespread strategy for designing social robots. In the present paper, we argue that imitating humans impedes the full exploration of robots' social abilities. In fact, their very 'thingness' (e.g. sensors, rationality) is able to create 'superpowers' that go beyond human abilities, such as endless patience. To better identify these special abilities, we develop a performative method called 'Techno Mimesis' and explore it in a series of workshops with robot designers. Specifically, we create 'prostheses' to allow designers to transform themselves into their future robot to experience use cases from the robot's perspective, e.g. 'seeing' with a distance sensor rather than with eyes. This imperfect imitation helps designers to experience being human and being robot at the same time, making differences apparent and facilitating the discovery of a number of potential physical, cognitive, and communicational robotic superpowers.
Gut microbiota drives the attenuation of dextran sulphate sodium induced colitis by Huangqin decoction
Venue: Oncotarget
Year: 2017

The gut microbiota, including probiotics and pathogenic microorganisms, is involved in ulcerative colitis (UC) by regulating pathogenic microorganisms and the production of intestinal mucosal antibodies. Huangqin decoction (HQD) a traditional Chinese formula chronicled in the Shanghan lun, has been recognized as an effective drug for UC, owing to its anti inflammatory and anti oxidative properties. In the present study, we investigated whether HQD ameliorates dextran sulphate sodium (DSS) induced colitis through alteration of the gut microbiota. We found that HQD significantly inhibited colitis, alleviating the loss of body weight, disease activity index, colon shortening, tissue injury, and inflammatory cytokine changes induced by DSS treatment. Principal component analysis and principal co ordinate analysis showed an obvious difference among the groups, with increased diversity in the DSS and DSS+HQD groups. Linear discriminant analysis effect size was used to determine differences between the groups. The relative abundance of Lactococcus was higher in the DSS+HQD group than in the DSS group, whereas Desulfovibrio and Helicobacter were decreased. Furthermore, the protective effect of HQD was attenuated only in antibiotic treated mice. In conclusion, our results suggest that HQD could ameliorate DSS induced inflammation through alteration of the gut microbiota.
OAG: Toward Linking Large scale Heterogeneous Entity Graphs
Venue: KDD
Year: 2019

Linking entities from different sources is a fundamental task in building open knowledge graphs. Despite much research conducted in related fields, the challenges of linkinglarge scale heterogeneous entity graphs are far from resolved. Employing two billion scale academic entity graphs (Microsoft Academic Graph and AMiner) as sources for our study, we propose a unified framework LinKG to address the problem of building a large scale linked entity graph. LinKG is coupled with three linking modules, each of which addresses one category of entities. To link word sequence based entities (e.g. venues) we present a long short term memory network based method for capturing the dependencies. To link large scale entities (e.g. papers) we leverage locality sensitive hashing and convolutional neural networks for scalable and precise linking. To link entities with ambiguity (e.g. authors) we propose heterogeneous graph attention networks to model different types of entities. Our extensive experiments and systematical analysis demonstrate that LinKG can achieve linking accuracy with an F1 score of 0.9510, significantly outperforming the state of the art. LinKG has been deployed to Microsoft Academic Search and AMiner to integrate the two large graphs. We have published the linked results the Open Academic Graph (OAG)\footnote\urlhttps:/www.openacademic.ai/oag/ making it the largest publicly available heterogeneous academic graph to date.
SURVEY OF HEAVY METALS CONCENTRATIONS IN WATER AND SEDIMENTS OF THE ESTUARY BIETRI BAY, EBRIE LAGOON, COTE D'IVOIRE
Year: 2014

To provide information on heavy metals mercury (Hg) cadmium (Cd) lead (Pb) copper (Cu) and zinc (Zn) concentrations in water and sediments, monthly samples were collected in five sites in the Betri Bay from February 2008 to January 2009. The average values of water physicochemical parameters temperature, pH, dissolved oxygen, transparency, salinity and MES ranged between 28.12 30.49 degC; 7.46 8.17; 5.10 6.62 mgL 1 0.39 0.95 m; 7, 21 30.28 %0 and 13, 78 65, 53 mgL 1 respectively. The average mean water concentrations of heavy metals ranged between 0.01 0.03 ugL 1 (Hg) 0.02 0.26 mgL 1 (Cd) 2.40 4.80 mgL 1 (Pb) 9.05 9.68 mgL 1 (Cu) and 12.05 19.87 mgL 1 (Zn) The average mean sediments concentrations of heavy metals ranged between 0.35 1.33 ugkg 1 (Hg) 0.11 1.25 mgkg 1 (Cd) 26.53 120.05 mgkg 1 (Pb) 21.12 86.21 mgkg 1 (Cu) and 106.32 509.73 mgkg 1 (Zn) Results showed significant differences in levels of some water physicochemical parameters (salinity and MES) and heavy metals in water and sediments among dry, rainy and swelling seasons. The annual mean heavy metals were in the order of Zn Cu Pb Cd Hg and Zn Pb Cu Cd Hg respectively in water and sediments. The correlation analysis showed a strong positive relationship between heavy metals and physicochemical parameters in water. The concentrations of water metals were influenced by temperature, salinity and dissolved oxygen; while the concentrations of sediments metals were influenced by water metal levels. The exchange factor determined to assess the extent of metal accumulation in the sediments showed a higher value of exchange between water and sediments. Deleterious water quality levels of Pb, Cd, Cu and Zn, above recommended levels, in both water and sediments of Bietri Bay poses potential health hazards to the aquatic organisms and the inhabitants of the area that use this water resource directly for domestic or agricultural purpose without treatment.
Differential Evolution with Linear Bias Reduction in Parameter Adaptation
Venue: Algorithms
Year: 2020

In this study, a new parameter control scheme is proposed for the differential evolution algorithm. The developed linear bias reduction scheme controls the Lehmer mean parameter value depending on the optimization stage, allowing the algorithm to improve the exploration properties at the beginning of the search and speed up the exploitation at the end of the search. As a basic algorithm, the L SHADE approach is considered, as well as its modifications, namely the jSO and DISH algorithms. The experiments are performed on the CEC 2017 and 2020 bound constrained benchmark problems, and the performed statistical comparison of the results demonstrates that the linear bias reduction allows significant improvement of the differential evolution performance for various types of optimization problems.
Unsupervised analysis of a chromatographic signal based on an infinite Gaussian mixture model
Venue: 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
Year: 2017

We address the issue of remote processing of micro chromatographic signals for point of care body fluid analysis in a home care environment, or for on site air and water quality assessment. We propose to use a random walk model considering the chromatographic signal as a distribution of molecule arrival time (MAT) at the chromatography column output and we associate to each analyte a cluster of MAT. The signal processing should realize automatically an unsupervised clustering of the MAT to identify the cluster list, and a classification to assign a cluster label to each MAT. On such complex fluids, the list is only partially known. Thus, we propose to introduce an infinite list of cluster candidates described as an Infinite Gaussian Mixture Model (IGMM) and to estimate a finite list using a variational non parametric Bayesian inference. Experimental results are given for the gas chromatographic analysis of polycyclic aromatic hydrocarbons (PAHs) pollutants in solution.
LLOAM: LiDAR Odometry and Mapping with Loop closure Detection Based Correction
Venue: 2019 IEEE International Conference on Mechatronics and Automation (ICMA)
Year: 2019

Re observed places recognition problem has always been a key issue in the areas of mobile robot navigation including Simultaneous Localization and Mapping (SLAM) it is also called loop closure detection. A global optimization back end is usually required to correct global poses and map when a loop closure is detected. It is widely acknowledged that a standard SLAM system should be comprised of odometry front end, loop closure detection and a back end responsible to global optimization. The previous SLAM researches are focused on the images based visual SLAM or lidar based odometry systems, there are still few complete 3D LiDAR based SLAM systems. This paper proposes a complete 3D LIDAR based SLAM system, LLOAM, which includes a front end with a point clouds segmentation matching based loop closure detection and a back end based on factor graph optimization. The proposed SLAM system has been evaluated using a KITTI dataset of large scale outdoor urban street environment. The results indicate that the proposed SLAM system outperforms others odometry system in local accuracy and global consistency.
Pixel Motion: A surveillance camera enabled public digital game
Venue: FDG
Year: 2014

In this paper, we present a public digital game with a novel interaction strategy: the use of a surveillance camera and motion flow detection software that analyzes movement patterns. The game was designed to support and inspire creative collaborative public play in a public flow through area of a science museum. In this paper we report about the design of the game to achieve these end experience goals, with findings from field observations of the game over a 2week period on site at the museum. We also discuss implications for further work on the use of surveillance cameras and motion flow as a public game interaction paradigm.
Using Facebook as an Interactive E learning Tool for Non language Major Students
Year: 2018

The main issues in teaching English for non language major students are learners' reluctance to study and the lack of practice outside the class. This study focuses on the use of Facebook group to motivate students and create an at home English learning environment. The research was conducted with 21 first year students at University of Engineering and Technology, Vietnam National University, Hanoi. They were added to a closed Facebook group and asked to post their assignments, audio files and videos, and comment on their classmates' posts. The findings show that using Facebook as an e learning system motivates students to study more, promotes interaction between classmates, as well as gives them a place to practice what they learn. The research suggests that Facebook can be used as an interactive e learning tool for non language major students.
Kinetic study on phosphate removal from aqueous solution by biochar derived from peanut shell as renewable adsorptive media
Venue: International Journal of Environmental Science and Technology
Year: 2015

As an alternative strategy for phosphate removal, biochar (black carbon) has characteristics superior to those of widely used adsorptive media, from both economic and environmental points of view. In this study, various types of biochar derived from oak wood, bamboo wood, maize residue, soybean stover, and peanut shell were tested for evaluation of phosphate removal. After 24 h of reaction time, the phosphate removal was limited (2.0 9.4 in case of general adsorptive media. However, interestingly, among various biochars, peanut shell derived biochar (PSB) exhibited the best performance, showing the highest phosphate removal rate, 61.3 (3.8 mg PO4 P g PSB 1) We attribute this high value to the proper structural properties of PSB, such as BET specific surface area of 348.96 m2 g 1 and mineral/phosphorus ratio (Mg/P 3.46 and Ca/P 47.6) Adsorption equilibrium and kinetics of phosphate at different temperature (10, 20, and 30 degC) were well explained in the whole experimental region by Langmuir isotherm and pseudo second order kinetic models, respectively. The maximum adsorption capacity of PSB was 6.79 mg g 1 for phosphate at 30 degC. These findings suggest that PSB has great potential as an alternative and renewable adsorptive media for phosphate removal.
Regulation of gene expression by protein lysine acetylation in Salmonella.
Venue: Journal of microbiology
Year: 2020

Protein lysine acetylation influences many physiological functions, such as gene regulation, metabolism, and disease in eukaryotes. Although little is known about the role of lysine acetylation in bacteria, several reports have proposed its importance in various cellular processes. Here, we discussed the function of the protein lysine acetylation and the post translational modifications (PTMs) of histone like proteins in bacteria focusing on Salmonella pathogenicity. The protein lysine residue in Salmonella is acetylated by the Pat mediated enzymatic pathway or by the acetyl phosphate mediated non enzymatic pathway. In Salmonella, the acetylation of lysine 102 and lysine 201 on PhoP inhibits its protein activity and DNA binding, respectively. Lysine acetylation of the transcriptional regulator, HilD, also inhibits pathogenic gene expression. Moreover, it has been reported that the protein acetylation patterns significantly differ in the drug resistant and sensitive Salmonella strains. In addition, nucleoid associated proteins such as histone like nucleoid structuring protein (H NS) are critical for the gene silencing in bacteria, and PTMs in H NS also affect the gene expression. In this review, we suggest that protein lysine acetylation and the post translational modifications of H NS are important factors in understanding the regulation of gene expression responsible for pathogenicity in Salmonella.
New Wine in Old Wineskin: Progressive Development of Genomic Editing in Bombyx mori
Year: 2019

The Bombyx mori insect emerging from lepidopteran family is exploited as an important remunerative specie, vis a vis as a model organism for scientific findings. It is unequivocally a primal insect model in which genomic altering tool was used to establish a gene function in vitro. A significant milestone in Bombyx genetics is evidenced by contemporary advancement in germline transformation and whole genome sequencing, producing genetically engineered silkworms (new wine in an old wineskin) to generate recombinant silk proteins for biomedical and industrial applications. Here, we mainly discuss the contemporary advancements in genome modification approaches employed in silkworm research focusing on the three genomic engineering methodologies (ZFNs, TALENs, and CRISPR/Cas9) Since the inception of genomic editing using ZFNs, few experiments under Bombyx have been recorded. The mutation rates in Bombyx using ZFNs are relatively low compared to those using TALENs techniques. TALENs exhibit much simpler design as a single TALE and recognize one nucleotide, unlike ZFNs, which recognize three nucleotides. CRISPR/Cas9 offers flexibility, as well as easy multiplexing and scaling out of reach of the performances of ZFNs and TALENs.  Targeted mutagenesis, homologous recombination, clustered regularly interspaced palindromic repeats, transcription activator like effectors nucleases, and zinc finger nucleases Cite this Article Nartey Moses A, Li Muwang, Li Tao et al. New Wine in Old Wineskin: Progressive Development of Genomic Editing in Bombyx mori.  2018; 7(3) 17 25p.
Effect of a Postpartum Training Program on the Prevalence of Diastasis Recti Abdominis in Postpartum Primiparous Women: A Randomized Controlled Trial
Venue: Physical therapy
Year: 2018

Diastasis recti abdominis affects a significant number of women during the prenatal and postnatal period.  The objective was to evaluate the effect of a postpartum training program on the prevalence of diastasis recti abdominis.  The design was a secondary analysis of an assessor masked randomized controlled trial.  One hundred seventy five primiparous women (mean age 29.8 4.1 years) were randomized to an exercise or control group. The interrectus distance was palpated using finger widths, with a cutoff point for diastasis as =2 finger widths. Measures were taken 4.5 cm above, at, and 4.5 cm below the umbilicus. The 4 month intervention started 6 weeks postpartum and consisted of a weekly, supervised exercise class focusing on strength training of the pelvic floor muscles. In addition, the women were asked to perform daily pelvic floor muscle training at home. The control group received no intervention. Analyses were based on intention to treat. The Mantel Haenszel test (relative risk [RR] ratio) and the chi square test for independence were used to evaluate between group differences on categorical data.  At 6 weeks postpartum, 55.2% and 54.5% of the participants were diagnosed with diastasis in the intervention and control groups, respectively. No significant differences between groups in prevalence were found at baseline (RR: 1.01 [0.77 1.32] at 6 months postpartum (RR: 0.99 [0.71 1.38] or at 12 months postpartum (RR: 1.04 [0.73 1.49] Limitations The interrecti distance was palpated using finger widths, and the sample included women with and without diastasis.  A weekly, postpartum, supervised exercise program, including strength training of the pelvic floor and abdominal muscles, in addition to daily home training of the pelvic floor muscles, did not reduce the prevalence of diastasis.
Digital Earth in a User Centric Perspective
Venue: 2014 Fifth International Conference on Computing for Geospatial Research and Application
Year: 2014

At the present, we are in the midst of another major societal shift that is leading to a hyper connected society. In this hyper connected society, the convergence of mobile technology, online access and global media is connecting masses of people without precedents, with resulting impacts on communication, content creation and social engagement. In this manuscript, we propose a conceptual framework that leverages the trend of sharing videos recorded with mobile devices, to turn the real space surrounding us into a "virtual stage" for ubiquitous media sharing. Automatic 3D reconstruction of events and places will follow from user generated content, to foster new forms of spatial temporal augmented content a Digital Earth. Three strategies essential to this framework are presented and discussed: the convergence of Big Data and Crowdsourcing, proactive policies, and Big Data capability through user engagement.
Penerapan E Learning Moodle untuk Pembelajran Siswa yang Melaksanakan Prakerin
Year: 2013

Penelitian ini bertujuan untuk (1) mengembangkan e learning memperbaiki alat reproduksi sinyal audio video CD (2) mengetahui kelayakan e learning yang dihasilkan sebagai sumber belajar siswa, dan (3) mengungkap keefektifan e learning terhadap pencapaian hasil belajar siswa kelas XI teknik elektronika SMK Negeri 5 Banjarmasin yang melaksanakan Prakerin.Jenis penelitian ini adalah Penelitian dan Pengembangan (RD (2) investigate the appropriateness of the developed e learning as a learning resource for students; and (3) investigate the effectiveness of elearning in the attainment of learning outcomes of Year XI students of Electronics Engineering in SMK Negeri 5 Banjarmasin joining the industrial work practicum. This study was a research and development (R D) The results of the study are as follows. (1) The e learning is developed by means of in three stages, i.e. planning, design, and development. The e learning development presents the materials for the competence standard in repairing a signal reproduction device for audio video, (2) The e learning is appropriate to be used by Year XI students of Electronics Engineering in SMK Negeri 5 Banjarmasin joining the industrial work practicum. Its appropriateness is in the good category with a score of 3.98 by the material expert, is in the good category with a mean of 3.90 by the media expert, is in the very good category with a score of 4.45 by the beta test, and is in the good category with a score of 3.90 by the product testing. (3) The use of the e learning is effective to improve their cognitive learning outcomes. This is indicated by difference in the score improvement from the pretest to the posttest in the two classes is 13.24.