nils-herrmann/clean_scirepeval huggingface dataset:
Biomechanical analysis of a temporomandibular joint condylar prosthesis during various clenching tasks.
Venue: Journal of cranio maxillo facial surgery official publication of the European Association for Cranio Maxillo Facial Surgery
Year: 2015

The objective of this study was to evaluate the effect of clenching tasks on the stress and stability of a temporomandibular joint (TMJ) condylar prosthesis, as well as on the stress and strain in the whole mandible and bone surrounding three screws. Three dimensional finite element models of the mandible and a TMJ condylar prosthesis using three screws were established. Six static clenching tasks were simulated in this study: incisal clench (INC) intercuspal position (ICP) right unilateral molar clench (RMOL) left unilateral molar clench (LMOL) right group function (RGF) and left group function (LGF) Based on the simulation of the six clenching tasks, none of the inserted screws or the TMJ condylar prosthesis were broken. In addition, the stability of the TMJ condylar prosthesis was sufficiently high for bone ongrowth. For the whole mandibular bone, the maximum von Mises stress and von Mises strain observed in the cortical bone and cancellous bone were yielded by the ICP and RMOL, respectively. For the bone surrounding the inserted screws, the maximum von Mises stress and von Mises strain in both the cortical bone and cancellous bone were yielded by the LMOL. Clenching tasks had significant effects on the stress distribution of the TMJ condylar prosthesis, as well as on the stress and strain distribution of the whole mandible and the bone surrounding the inserted screws.
Application of Gypsum and Fly Ash as Additives in Stabilization of Tropical Peat Soil
Year: 2015

The demand for land in conjunction to infrastructure development is become crucial and expensive. In the near future, a problematic soil such as peat is becoming a final alternative. In crucial cases, peat land cannot be avoided and has been hosted for engineering structures (e.g. road, highway, railway and bridge) Peat soil is well established of its downgraded characteristics, highly compressibility and low in shear strength. This study aimed to investigate effect of fly ash and gypsum on the mechanical properties of peat soil.  Ash (FA) is a by product material that is generated from the burning of coal in thermal power plants. In this study, gypsum was prepared chemically in the laboratory to simulate residue from Neutralization Underflow Process (NUF) For the first batch of samples, the peat samples were initially treated with Synthetic Gypsum (SG) in the ranges between 0 and 20% of sample dried weight (SG treated soil) In a second batch, the peat samples were prepared with 10% FA and then mixed thoroughly with different amounts of SG contents (0, 5, 10 and 20% (10FA SG treated soil) The results showed that soil treated with mixture of 10% FA and SG indicated lower liquid limit values than the SG treated soil. In compaction tests, the maximum dry density of both increased in both SG treated soil and FA SG treated soil. The permeability of SG treated soil increased with the increases in SG contents. Similarly, occurred to permeability of FA SG treated soil however, its values are lower than the soil treated without FA. Shear strength of SG treated showed decreased with increasing amount of SG content. In contrast, the FA SG treated soil exhibited higher strength if compared to that of SG treated soil. The result suggested that the application of FA and SG mixture is more effective in stabilization in mechanical strength and densification of peat soil than the use of SG only.
Work Ethic and Bureaucratic Culture
Year: 2019

People who are developed are people who are able to appreciate the order in various activities in their lives, as well as in carrying out daily work such as having ethical values associated with work ethics such as diligent, hard working, high discipline, restraint, resilient, resilient perseverance and other ethical values can also be found in other people and nations. In the current era of autonomy, coupled with the rapid advancement of science of the Government Bureaucracy, strong foundations of state administration are needed as a buffer. To carry out an increasingly broad and complex function, the government sector certainly requires a variety of adequate resources. Along with the process of expanding the function and role of the government apparatus, there has also been an increasing "expectation demand" from the people (the public) especially those related to the work ethic. Work ethic is a basic value of morality that can provide mental and spiritual impetus for a bureaucratic apparatus to be able to excel in carrying out his profession
DEVELOPING DIGITAL COMPETENCE. AN ESSENTIAL SKILL IN REMOTE LEARNING
Year: 2020

The paper brings into discussion the importance of digital competence in education. Since the pandemic caused by the virus SARS CoV 2, the need of doing online education has become essential for remote learning. It is widely known that online education provides opportunities for children, and it allows them to have access to more information. Within this new context, the situation shows us obvious gaps in education. Many children without appropriate devices weren't able to participate on lessons, parents were overwhelmed, and a lot of teachers faced different challenges: how to adapt the curriculum, how to create interactive interactions and ensuring daily wellness, how to motivate children to participate, how to keep in touch with vulnerable children. In this line, the paper presents the importance of developing digital competence for improving the remote learning experience, including families, children and school staff, thus providing a quality inclusive education.
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge
Venue: EACL
Year: 2017

Building knowledge bases (KB) automatically from text corpora is crucial for many applications such as question answering and web search. The problem is very challenging and has been divided into sub problems such as mention and named entity recognition, entity linking and relation extraction. However, combining these components has shown to be under constrained and often produces KBs with supersize entities and common sense errors in relations (a person has multiple birthdates) The errors are difficult to resolve solely with IE tools but become obvious with world knowledge at the corpus level. By analyzing Freebase and a large text collection, we found that per relation cardinality and the popularity of entities follow the power law distribution favoring flat long tails with low frequency instances. We present a probabilistic joint inference algorithm to incorporate this world knowledge during KB construction. Our approach yields state of the art performance on the TAC Cold Start task, and 42% and 19.4% relative improvements in F1 over our baseline on Cold Start hop 1 and all hop queries respectively.
Central Bank Governance and Operations in the MECA Region The Legal Foundations of Oversight Boards Background Notes no. 2 to Departmental Paper DP/21/01
Year: 2020

Central Bank Governance consists of four interlinked, key concepts that define who is granted decision making power and for what objectives, how decisions are taken, and how account is rendered to relevant stakeholders. As such, these concepts focus on (i) the central bank's mandate, (ii) its decision making structures, (iii) its autonomy, and (iv) its accountability and transparency
Designing an event feedback system based on debate spaces
Year: 2017

Feedback from operational experience, mainly in the form of accident analysis, is the method of choice for safety management in high risk organizations. The research presented here concerns the domain of road tunnels, and is based on feedback of the day to day experience of tunnel monitoring staff in collective discussion spaces. Our novel, participatory approach encompassed operating staff, managers and research partners, and transformed the feedback scheme. Inter profession debate spaces, run by team leaders, were set up to analyse simulated events. These structured spaces proved to be an effective way to compare working practices, events and role representations, and were conducive to knowledge transmission. The debate allowed workers to establish transverse operational rules, and highlighted the need for formal rules to be set by the management. The spaces were effective in improving the formal organization, and extending the activities of operational staff. The methodology was found to support gaining experience through a process of event analysis.
Design and Fabrication of a Miniaturized Microstrip Antenna Loaded by DNG Metamaterial
Year: 2014

In this paper the design, fabrication, and testing of a miniaturized rectangular microstrip patch antenna loaded with DNG metamaterials is reported. The metamaterial is composed of two nested spiral strips and a single straight strip which are etched on two sides of a 5.7 mmx5.7 mm Rogers RT/duroid 5880 with 0.5 mm thickness and dielectric constant of 2.2. Two units of this structure as a double negative (DNG) medium in combination with air as a double positive (DPS) medium are used as substrate of the microstrip patch antenna. By placing these metamaterial structures under the patch, a sub wavelength resonance occurs which leads to a smaller size patch antenna compared to the conventional antenna at that frequency. The total size of the proposed antenna is reduced 54.6% The dimensions of the proposed patch antenna are significantly smaller than the wavelength of the operation frequency with respect to the conventional patch antenna. Simulation result and test result for the proposed patch antenna are given and compared.  Antennas, Metamaterials, Microstrip Antennas, Miniaturization.
Wiki uses in higher education: exploring barriers to successful implementation
Venue: Interact. Learn. Environ.
Year: 2010

E learning 2.0 is expected to address some of the problems which characterized the first generation of E learning implementations. Wikis are among the most promising E learning 2.0 tools because they require active student engagement which facilitates constructivist learning. The present article focuses on the use of wikis in a university education and examines the student perspectives related to this use. Thirty eight students participated in a study which aimed to examine students' difficulties with a wiki implementation in an undergraduate course. By drawing on qualitative data, seven major types of problems that the students experienced with the wiki task were identified. It is argued that the reason why the students lacked the knowledge and skills to deal with the wiki assignment is because they were accustomed to traditional practices. The article is concluded with a discussion of how traditional practices and the associated learning epistemologies are incompatible with the wiki requirements which are more constructivist in nature.
Mobile Agriculture Automation System
Year: 2017

The impact of environment and other surrounding parameters on local agriculture quality and individuals exposure are major public policy concerns and have stimulated a substantial body of research aimed at improving underlying automated robotic technologies and parametric management schemes to minimize the impact of environment changes on the field. A particularly exc iting direction for future development of such environmental sensor data sources is the use of mobile system and people themselves as platforms for outward facing environmental sensor systems, enabling them to operate as mobile environmental probes. This project aims to address these challenges by combination and extension of sensor and positioning technologies, data fusion, traveller behav ior, traffic modeling and surveillance based on combinations of software and hardware vehicle mounted sensors.
[Involvement of protein tyrosine kinases in b amyloid protein induced suppression of long term potentiation in the rat hippocampal CA1 region in vivo]
Venue: Sheng li xue bao [Acta physiologica Sinica]
Year: 2009

Although the impairing effects of beta amyloid (Ab) protein on synaptic plasticity and cognitive function have been widely reported, the mechanisms underlying the neurotoxicity of Ab are still not well known. The present study observed the effects of intracerebroventricular (i.c.v. injection of both Ab(23 35) and genistein (a specific tyrosine kinase inhibitor at high concentration) on the hippocampal long term potentiation (LTP) in the CA1 region, and investigated its possible protein tyrosine kinase (PTK) mechanism. Male Wistar rats were surgically prepared for acute LTP recordings in vivo. Two parallel bond electrodes for stimulating and recording were simultaneously inserted into the right hippocampus of rats. The field excitatory postsynaptic potentials (fEPSPs) paired pulse facilitation (PPF) and high frequency stimuli (HFS) induced LTP were recorded by delivering test stimuli, paired pulses and HFS to the Schaffer collateral/commissural pathway. The results showed that: (1) i.c.v. injection of Ab(23 35) did not affect the baseline synaptic transmission, but significantly suppressed the HFS induced LTP, with a decreased average amplitude of fEPSPs (129.2+ 6.7) in 10 nmol Ab(23 35) group; (110.6+ 8.6) in 20 nmol Ab(23 35) group; P<0.01] at 1 h post HFS when compared to that in the control group (163.1+ 8.1) (2) Similarly, i.c.v. injection of genistein (200 nmol) did not change the basic synaptic transmission, but significantly suppressed HFS induced LTP, with the similar average amplitude of fEPSPs (114.0+ 7.2) at 1 h post HFS to that in 20 nmol Ab(23 35) group; (3) Co application of Ab(23 35) (20 nmol) and genistein (200 nmol) caused no additive suppression of LTP, and the average amplitude of fEPSPs was (113.0+ 8.8) at 1 h post HFS, showing no significant difference when compared with that in Ab(23 35) or genistein alone groups (P>0.05) (4) There was no significant change in the PPF following genistein and Ab(23 35) alone or co injection (P>0.05) These experimental results indicate that i.c.v. injection of Ab(23 35) can significantly suppress the HFS induced LTP in the CA1 area of rat hippocampus in vivo, implying that the Ab deposited in the brain of patients with Alzheimer's disease may impair the function of learning and memory by suppressing the hippocampal LTP. The facts that the extent of inhibition of Ab(23 35) and genistein on LTP was similar and no further potentiation of the suppression was observed when Ab(23 35) and genistein were co applied suggest that PTK is probably involved in the Ab induced suppression of hippocampal LTP.
Suppression of TLR4 by miR 448 is involved in Diabetic development via regulating Macrophage polarization
Venue: The Journal of pharmacy and pharmacology
Year: 2019

Lipopolysaccharide (LPS) contributed to the development and progression of type 2 diabetes mellitus (T2D) while TLR4 is reported to mediate the LPS induced inflammation in macrophages. However, the potential molecular mechanisms for TLR4 mediated macrophages activation in T2D have not yet to be fully clarified.
MINIMUM UNORTHODOX MEASURE OF ENTROPY FOR RESCRIBED ARITHMETIC MEAN AND SECOND ORDER MOMENT
Year: 2017

Minimum entropy probability distribution is necessary for complete information of probability distribution. But it has not been calculated so much whenever Maximum entropy probability distribution has been obtained by using different measures. Due to concave nature of entropy, minimization is complicated than maximization. In the present paper, We use Unorthodox measure of entropy to obtain minimum entropy for given Arithmetic mean and Second order moment.
An adaptive variational algorithm for exact molecular simulations on a quantum computer
Venue: Nature Communications
Year: 2019

Quantum simulation of chemical systems is one of the most promising near term applications of quantum computers. The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that it typically relies on a pre selected wavefunction ansatz that results in approximate wavefunctions and energies. Here we present an arbitrarily accurate variational algorithm that, instead of fixing an ansatz upfront, grows it systematically one operator at a time in a way dictated by the molecule being simulated. This generates an ansatz with a small number of parameters, leading to shallow depth circuits. We present numerical simulations, including for a prototypical strongly correlated molecule, which show that our algorithm performs much better than a unitary coupled cluster approach, in terms of both circuit depth and chemical accuracy. Our results highlight the potential of our adaptive algorithm for exact simulations with present day and near term quantum hardware.Quantum algorithms for simulating chemical systems are limited because of the a priori assumption about the form of the target wavefunction. Here the authors present a new variational hybrid quantum classical algorithm which allows the system being simulated to determine its own optimal state.
Text to Image Synthesis Using Generative Adversarial Networks
Venue: ArXiv
Year: 2018

Generating images from natural language is one of the primary applications of recent conditional generative models. Besides testing our ability to model conditional, highly dimensional distributions, text to image synthesis has many exciting and practical applications such as photo editing or computer aided content creation. Recent progress has been made using Generative Adversarial Networks (GANs) This material starts with a gentle introduction to these topics and discusses the existent state of the art models. Moreover, I propose Wasserstein GAN CLS, a new model for conditional image generation based on the Wasserstein distance which offers guarantees of stability. Then, I show how the novel loss function of Wasserstein GAN CLS can be used in a Conditional Progressive Growing GAN. In combination with the proposed loss, the model boosts by 7.07% the best Inception Score (on the Caltech birds dataset) of the models which use only the sentence level visual semantics. The only model which performs better than the Conditional Wasserstein Progressive Growing GAN is the recently proposed AttnGAN which uses word level visual semantics as well.
Application of Data Mining techniques for Customer Relationship Management (CRM)
Year: 2013

1 Sarada sowjanya.C, 2 R.M.Sravan Ch, M Tech IInd Year, Engineer, NOVA College of engineering and technology for Women, INFOSYS Ltd, Vijayawada. Mysore.  Consumers make choices about where to shop based on their preferences for a shopping environment and experience as well as the selection of products at a particular store. Advancements in technology have made relationship marketing a reality in recent years. Technologies such as data warehousing, data mining, and campaign management software have made customer relationship management a new area where firms can gain a competitive advantage. Particularly through data mining the extraction of hidden predictive information from large databases organizations can identify valuable customers, predict future behaviors, and enable firms to make proactive, knowledge driven decisions.
Cytotoxic Effect on MG 63 Cell Line and Antimicrobial and Antioxidant Properties of Silver Nanoparticles Synthesized with Seed Extracts of Capsicum sp
Year: 2015

Applying the concept of ethnobotany, plant extract was taken into consideration as an alternative to chemicals synthesis of silver nanoparticle. The extracts from the chilli seeds were used to synthesize silver nanoparticles (AgNPs) In this study two species of chilli, Capsicum annuum and Capsicum frutescens, have been used to analyse the characteristics of the bio active compounds found in their seeds. Analysis of the bioactive compound was performed by using Soxhlet extraction with solvents followed by Thin Layer Chromatography (TLC) High Performance Liquid Chromatography (HPLC) and GC MS. Furthermore, green synthesis of nanoparticles with chilli extracts was carried out using silver nitrate to detect its antimicrobial activity. The characterizations of both the nanoparticles were carried out using UV Vis Spectroscopy, Atomic Force Microscopy (AFM) Fourier Transform Infrared Spectroscopy (FTIR) X Ray Diffractometry (XRD) Scanning Electron Microscopy (SEM) and energy Dispersive X Ray Spectroscopy (EDX) Antimicrobial activity against clinical pathogens and the antioxidant assay using DPPH and FRAP assays were performed. The cytotoxicity effects on osteosarcoma cell lines were also evaluated with the synthesized AgNPs.
Cooperative Collision Avoidance for Overtaking Maneuvers in Cellular V2X Based Autonomous Driving
Venue: IEEE Transactions on Vehicular Technology
Year: 2019

In this paper, we consider a cooperative autonomous driving system where a vehicle overtakes the one in front based on collective perception. To avoid collisions with vehicles on the other lane, we propose a V2X based cooperative collision avoidance scheme. The overtaking vehicle estimates the distance between itself and the neighbors via V2V communications and decides whether to overtake or not. Two cases where the distance information is obtained independently and cooperatively are taken into account. We derive the probability of collision avoidance and analyze the influence of different factors such as speed and density of vehicles on the system performance. Simulation results verify our analysis and show that our V2X based cooperative collision avoidance scheme performs better than traditional GNSS based collision avoidance scheme. The performance gain brought by the cooperative case compared to the independent case in our scheme can also be observed.
Prognostic and Prediction Tools in Bladder Cancer: A Comprehensive Review of the Literature.
Venue: European urology
Year: 2015

This review focuses on risk assessment and prediction tools for bladder cancer (BCa)  To review the current knowledge on risk assessment and prediction tools to enhance clinical decision making and counseling of patients with BCa.  A literature search in English was performed using PubMed in July 2013. Relevant risk assessment and prediction tools for BCa were selected. More than 1600 publications were retrieved. Special attention was given to studies that investigated the clinical benefit of a prediction tool. EVIDENCE SYNTHESIS Most prediction tools for BCa focus on the prediction of disease recurrence and progression in non muscle invasive bladder cancer or disease recurrence and survival after radical cystectomy. Although these tools are helpful, recent prediction tools aim to address a specific clinical problem, such as the prediction of organ confined disease and lymph node metastasis to help identify patients who might benefit from neoadjuvant chemotherapy. Although a large number of prediction tools have been reported in recent years, many of them lack external validation. Few studies have investigated the clinical utility of any given model as measured by its ability to improve clinical decision making. There is a need for novel biomarkers to improve the accuracy and utility of prediction tools for BCa.  Decision tools hold the promise of facilitating the shared decision process, potentially improving clinical outcomes for BCa patients. Prediction models need external validation and assessment of clinical utility before they can be incorporated into routine clinical care.  We looked at models that aim to predict outcomes for patients with bladder cancer (BCa) We found a large number of prediction models that hold the promise of facilitating treatment decisions for patients with BCa. However, many models are missing confirmation in a different patient cohort, and only a few studies have tested the clinical utility of any given model as measured by its ability to improve clinical decision making.