nils-herrmann/clean_scirepeval huggingface dataset:
A Novel, Spatiotemporally Explicit Ecological Economic Modeling Procedure for the Design of Cost Effective Agri Environment Schemes to Conserve Biodiversity
Year: 2016

Agri environment schemes (AES) compensate farmers for land use measures that are costly to them but beneficial to biodiversity and the environment. We present an ecological economic modeling procedure for the design of cost effective AES to conserve grassland biodiversity, which is applicable to large areas, covers many endangered species and grassland types, and includes several hundred different types of mowing regimes, grazing regimes, and combinations of mowing and grazing regimes as land use measures. The modeling procedure also accounts for the spatial variations in the land use measures' costs and in the effects on species and grassland types. The procedure's main novelty is that it considers variations of the costs and impacts on species and grassland types that arise from different timings of the land use measures. Considering the spatial and the temporal dimension of land use measures makes the modeling procedure spatiotemporally explicit. We demonstrate the power of the modeling procedure by evaluating an existing grassland AES in Saxony, Germany, and identify substantial improvements in terms of cost effectiveness.
Evidence for subclinical avian influenza virus infections among rural Thai villagers.
Venue: Clinical infectious diseases an official publication of the Infectious Diseases Society of America
Year: 2011

Regions of Thailand reported sporadic outbreaks of A/H5N1 highly pathogenic avian influenza (HPAI) among poultry between 2004 and 2008. Kamphaeng Phet Province, in north central Thailand had over 50 HPAI poultry outbreaks in 2004 alone, and 1 confirmed and 2 likely other human HPAI infections between 2004 and 2006.  In 2008, we enrolled a cohort of 800 rural Thai adults living in 8 sites within Kamphaeng Phet Province in a prospective study of zoonotic influenza transmission. We studied participants' sera with serologic assays against 16 avian, 2 swine, and 8 human influenza viruses.  Among participants (mean age 49.6 years and 58% female) 65% reported lifetime poultry exposure of at least 30 consecutive minutes. Enrollees had elevated antibodies by microneutralization assay against 3 avian viruses: A/Hong Kong/1073/1999(H9N2) A/Thailand/676/2005(H5N1) and A/Thailand/384/2006(H5N1) Bivariate risk factor modeling demonstrated that male gender, lack of an indoor water source, and tobacco use were associated with elevated titers against avian H9N2 virus. Multivariate modeling suggested that increasing age, lack of an indoor water source, and chronic breathing problems were associated with infection with 1 or both HPAI H5N1 strains. Poultry exposure was not associated with positive serologic findings.  These data suggest that people in rural central Thailand may have experienced subclinical avian influenza infections as a result of yet unidentified environmental exposures. Lack of an indoor water source may play a role in transmission.
Fostering professional communication skills of future physicians and teachers: effects of e learning with video cases and role play
Year: 2015

This study investigated the effectiveness of three different versions of a training programme on physician patient and teacher parent conversations for medical students and student teachers. The research questions concerned the differential effects of e learning featuring contrastive video cases, role play including video feedback and their combination. The training effects were tested to determine whether they were similar across both professional domains. In a randomised controlled trial (N 168) three training conditions were prepared using a wait list control group. The assessment of communication competence was based on videotaped communications between the participants and simulated patients/parents (i.e. trained actors) The results of planned contrast analyses corroborated the study expectations: first, a strong overall treatment effect was observed. Second, the combined condition was more effective than e learning and role play alone when controlling for prior knowledge and cognitive ability. Third, e learning proved more effective than role play. Exploring interaction effects indicated that student teachers benefited more from the training than medical students.
PELATIHAN BLOG SEBAGAI SARANA PUBLIKASI PEMBELAJARAN GURU SMA NEGERI 2 KISARAN
Venue: Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal
Year: 2019

As a formal education institution, acculturation of techniques in Teaching and Learning Activities (KBM) is required by each lesson teacher to be able to transfer knowledge to students maximal and optimally. So far the teaching carried out by the teachers of SMA 2 Kisaran is more dominant in learning done face to face in the classroom, so that learning requires the mind and energy that is extra because it is done repeatedly in the classroom and the hours that different. Starting from the above, the dedication team sought solutions so that teaching can be acculturated by online learning using blog media to publish teachers' teaching materials to the internet. It is expected that online based teaching techniques, one of which is outlined in the making and utilization of blogs can stimulate interest from students to access teaching materials that have been published online, both in the form of text, images, audio and learning videos that have been recorded and uploaded by the teacher into his blog whenever and wherever it is, so that it will create student centered learning and learning objectives can be achieved.  blogs, teaching materials, online publications, videos, student center learning.  Sebagai institusi pendidikan formal maka diperlukan akulturasi teknik dalam Kegiatan Belajar Mengajar (KBM) yang dilakukan oleh masing masing guru pelajaran untuk dapat mentransfer ilmu pengetahuan kepada peserta didik secara maksimal dan optimal. Selama ini pengajaran yang dilakukan oleh guru guru SMA Negeri 2 Kisaran lebih dominan ke pembelajaran yang dilakukan secara tatap muka di dalam kelas, sehingga pembelajaran membutuhkan pikiran dan tenaga yang ekstra karena dilakukan secara berulang ulang pada kelas dan jam yang berbeda. Berawal dari hal diatas maka tim pengabdian mencari solusi agar pengajaran dapat diakulturasi dengan pembelajaran secara online menggunakan media blog untuk mempublikasikan bahar ajar para guru ke internet. Diharapkan dengan teknik pengajaran berbasis online salah satunya yang dituangkan dalam pembuatan dan pemanfaatan blog dapat merangsang minat dari para siswa untuk mengakses bahan ajar yang telah dipublikasikan secara online baik informasi berupa text, gambar, audio maupun video pembelajaran yang telah direkam dan diupload oleh guru ke dalam blognya kapan dan dimanapun berada, sehingga akan tercipta pembelajaran berpusat pada siswa (Student Centred Learning) dan tujuan pembelajaran dapat tercapai. Kata kunci: blog, bahan ajar, publikasi online, video, Student Center Learning.
Characterization of Submicron Oil Mist Particles Generated by Metal Machining Processes
Year: 2020

The number size distributions of submicron oil mist particles generated by three industrial metal (steel) machining processes lathe machining, cutting, and grinding were measured using an electrical mobility analyzer and an optical particle spectrometer. The measured number concentration of ultrafine particles (UFP; ~30 nm diameter) reached 107 particles cm 3 during each machining process. The condensation of thermally evaporated oil vapor was considered to be a major route of ultrafine particle generation during lathe machining and grinding, which used an oil in water emulsion and an insoluble lubricant oil, respectively. Cutting, which did not use lubricant oil, also produced a steep increase in the number concentration of UFP; these particles may have formed from residual oil in water emulsion on the surface of the workpiece after lathe machining. A simplified numerical simulation was used to quantify the particles arising from machining and leakage when the apparatus was opened. Although local ventilation effectively reduced the concentration of the oil mist in the apparatus and prevented the diffusion of this substance when the apparatus door was opened, leakage was observed when the workpieces were exchanged; this leakage was attributed to entrained particles on the workpieces. Hence, countermeasures to prevent entrained oil mist are necessary to improve the air quality in working environments.
Microfluidic immobilized enzyme reactors for continuous biocatalysis
Year: 2020

Biocatalysis has attracted significant attention owing to its environmental friendly nature, high efficiency, and remarkable selectivity for reactions. However, enzymes, which are powerful catalysts used in biocatalysis, suffer from low stability when used for long term operations in solution and a gradual decrease in activity during storage. Microfluidic reactors are devices known for their smaller dimensions, large surface to volume ratios, and well defined reaction times. Enzymes immobilized in such microfluidic reactors can exhibit distinct benefits, such as fast reaction rate, high storage stability, suppressed autolysis, and ease of use. The use of microfluidic immobilized enzyme reactors (m IMERs) offers several advantages over traditional technologies in performing biocatalytic reactions, such as low energy consumption, rapid heat exchange, fast mass transfer, high efficiency, and superior repeatability. In this review, the strategies of employing m IMERs for continuous biocatalysis have been investigated via a top down approach. First, from the macroscopic perspective, the fabrication techniques of microfluidic reactors are presented encompassing materials, configurations, and technologies. Then, from the microscopic point of view, several strategies are discussed for the internal structural designs of microfluidic reactors. Moreover, when we move to the nanoscopic level, attention is paid to the choice of enzyme immobilization techniques for performance enhancement. Finally, the scalability of microfluidics that transfers biocatalysis from laboratory to industrial production was investigated. This review is intended to provide a guideline for using biocatalysis in microreactors and expediting the progress of this important research area.
Evolution Mining: A Novel Accelerated Framework for Large Data processing in the big Data Paradigm
Year: 2017

The big data focus on the mining of the large volume, complex and exploiting datain the large scale application and Social network communities. The map reduce paradigm is been used to handle large scale data in the big data paradigm through classification and clustering algorithm as it is treated as computational intensive task. The Data Classification and Clustering algorithm using supervised and unsupervised learning models failed in processing dynamic updates as concept and feature evolution to map reduce paradigm in the large streaming application. Therefore it becomes mandatory to build a new accelerated framework which is capable of handling of the data evolution in the large data. In this Paper, we propose a novel technique named as "EvolutionMining" which develop a deep learning model in the map reduce paradigm using key value pair processing &Semantic Mining techniques. Sophisticated iterative models for feature extraction, classification and feature or concept evolution determination been devised. The proposed Technique is capable of handling the diverse data by producing the increased value to the computation characteristics such as accuracy and complexity. The Experimental results prove that proposed System outperforms other state of approaches using evaluation metrics such Runtime &Mean Error and reduces I/O overhead to much extent. Index Terms Big Data, Map reduce Paradigm,  Pair,
Incentives in Ethereum's Hybrid Casper Protocol
Venue: 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
Year: 2019

We present an overview ofhybrid Casper the Friendly Finality Gadget FFG: a Proof of Stake checkpointing protocol overlaid onto Ethereum's Proof of Work blockchain. We describe its core functionalities and reward scheme, and explore its properties. Our findings indicate that Casper's implemented incentives mechanism ensures liveness, while providing safety guarantees that improve over standard Proof of Work protocols. Based on a minimal impact implementation of the protocol as a smart contract on the blockchain, we discuss additional issues related to parametrisation, funding, throughput and network overhead and detect potential limitations.
Death as a Consequence of Foreign Body Aspiration in Children
Venue: Medical archives
Year: 2018

To analyze the rate of mortality in children with foreign body aspiration (FBA)  We outlined a retrospective review of hospital data of patients between 1971 and 2013. FBA occurring in children 0 year to 14 years was considered for inclusion (patient ages ranged from 0.6 to 15 years, with a median age of 2.2 years) The gender structure within the investigated cases was 75.8% males and 24.2% females. During the study period, 772 patients undergoing rigid bronchoscopy with the diagnosis of FBA were included. Deaths on arrival were excluded.  Total rate of mortality (for whole investigated period) was 0.785. For last fifteen years of the investigated period the rate of mortality was zero.  For prevention of foreign body aspiration in children and its mortality should be taken two strategies: non medical (alterations in product design and public education campaigns) and medical (education of medical staff and improvement of equipment)
Towards Lipreading Sentences with Active Appearance Models
Venue: AVSP
Year: 2017

Automatic lipreading has major potential impact for speech recognition, supplementing and complementing the acoustic modality. Most attempts at lipreading have been performed on small vocabulary tasks, due to a shortfall of appropriate audio visual datasets. In this work we use the publicly available TCD TIMIT database, designed for large vocabulary continuous audio visual speech recognition. We compare the viseme recognition performance of the most widely used features for lipreading, Discrete Cosine Transform (DCT) and Active Appearance Models (AAM) in a traditional Hidden Markov Model (HMM) framework. We also exploit recent advances in AAM fitting. We found the DCT to outperform AAM by more than 6% for a viseme recognition task with 56 speakers. The overall accuracy of the DCT is quite low (32 34% We conclude that a fundamental rethink of the modelling of visual features may be needed for this task.
Using sensors and augmented reality to train apprentices using recorded expert performance A systematic literature review
Year: 2018

Experts are imperative for training apprentices, but learning from experts is difficult. Experts often struggle to explicate and/or verbalize their knowledge or simply overlook important details due to internalization of their skills, which may make it more difficult for apprentices to learn from experts. In addition, the shortage of experts to support apprentices in one to one settings during trainings limits the development of apprentices. In this review, we investigate how augmented reality and sensor technology can be used to capture expert performance in such a way that the captured performance can be used to train apprentices without increasing the workload on experts. To this end, we have analysed 78 studies that have implemented augmented reality and sensor technology for training purposes. We explored how sensors have been used to capture expert performance with the intention of supporting apprentice training. Furthermore, we classified the instructional methods used by the studies according to the 4C/ID framework to understand how augmented reality and sensor technology have been used to support training. The results of this review show that augmented reality and sensor technology have the potential to capture expert performance for training purposes. The results also outline a methodological approach to how sensors and augmented reality learning environments can be designed for training using recorded expert performance.
ANALISIS PENGARUH FRAUD TRIANGLE TERHADAP FRAUDULENT FINANCIAL REPORTING DENGAN KUALITAS AUDIT SEBAGAI VARIABEL MODERASI
Year: 2020

The purpose of this study is to examine the effect of fraud in theory fraud triangle to indication fraudulent financial statistics with audit quality as moderating variable on companies listed on the Indonesia Stock Exchange The population in this study consists of all companies listed on the Indonesia Stock Exchange 2016 2018 period. Data collected with method purposive sampling, obtained as many as 57 companies that became sample research. Data used is secondary data in the form of annual report the company that made sample research. Data analysis was performed by logistic regression analysis, with a significance value of 5% The results of the study concluded that razionalization has a negative effect on indication fraudulent financial reporting. Meanwhile, financial stability ,effective supervision and rationalization did not significantly influence indication fraudulent financial reporting
Intelligent Vehicle Control Terminal of Forestry Monorail Car Based on ARM
Venue: 2010 International Conference on Intelligent Computation Technology and Automation
Year: 2010

Unifying the General Packet Radio Service(GPRS) networking technology, this article designs and realizes one kind of a embedded wireless forestry monorail car control system which using the ARM9 microprocessor from the hardware and the software. In terms of the hardware, completed the design and connection of ARM embedded system, GPRS module, electro mechanical interface of the rudder servo control, and obstacle testing module; in terms of software, completed the GPRS communication program, PWM output subprogram to drive the rudder servo, and the obstacle testing IRQ program. The system can achieve the purpose of long distance's real time monitoring and control the monorail car. The executive results of the laboratory tests show that remote control system fulfills real time control and functional requirement of the monorail car. It provides a new idea to the forestry transportation control and so on.
CONTRASTING THE CAPABILITIES OF BUILDING ENERGY PERFORMANCE SIMULATION PROGRAMS
Year: 2008

For the past 50 years, a wide variety of building energy simulation programs have been developed, enhanced and are in use throughout the building energy community. This paper is an overview of a report, which provides up to date comparison of the features and capabilities of twenty major building energy simulation programs. The comparison is based on information provided by the program developers in the following categories: general modeling features; zone loads; building envelope and daylighting and solar; infiltration, ventilation and multizone airflow; renewable energy systems; electrical systems and equipment; HVAC systems; HVAC equipment; environmental emissions; economic evaluation; climate data availability, results reporting; validation; and user interface, links to other programs, and availability.
Exergy analysis of marine steam turbine labyrinth (gland) seals
Venue: Pomorstvo
Year: 2019

The paper presents an exergy analysis of marine steam turbine labyrinth (gland) seals an inevitable component of any marine steam turbine cylinder, in three different operating regimes. Throughout labyrinth seals, steam specific enthalpy can be considered as a constant because the results obtained by this assumption do not deviate significantly from the results of complex numerical models. Changes in labyrinth seals exergy efficiency and specific exergy destruction are reverse proportional. The analyzed labyrinth seals have high exergy efficiencies in each observed operating regime at the ambient temperature of 298 K (above 92% what indicates seals proper operation. An increase in the ambient temperature resulted with a decrease in labyrinth seals exergy efficiency, but even at the highest observed ambient temperature of 318 K, seals exergy efficiency did not fall below 90.5% in each observed operating regime.
Antibacterial and antibiofilm activity of phenyllactic acid against Enterobacter cloacae
Year: 2018

Previous studies revealed that 3 Phenyllactic acid (PLA) was an antimicrobial compound with broad spectrum activity. In this study, the efficacy of PLA to inactivate Enterobacter cloacae planktonic cells, biofilms, and its antibacterial mechanism were evaluated. Results indicated that 1% PLA reduced E. cloacae populations by about 6 log CFU/ml for planktonic cells and by 2.83 log CFU/ml for biofilm cells after 10 min treatments. TEM images revealed the damaged cell structure and leakage of the intracellular components. The permeability of the cytoplasmic membrane of E. cloacae was increased when the treated PLA concentrations was raised. Flow cytometry analysis further revealed that almost all the bacterial cells were damaged after treatment with 1% PLA for 30 min. The damages on bacterial cell membrane in the biofilms caused by 1% PLA treatment were also observed by confocal laser scanning microscopy analysis. These findings revealed that PLA was effective in inactivating planktonic and biofilm (or biofilm associated) E. cloacae cells mainly by the mechanisms of cell membrane damage and leakage of the intracellular components.
Research on Electronic Lock Structure Evaluation Based on User Experience
Venue: AHFE
Year: 2019

An electronic lock is different from a mechanical lock in that it uses an induction card, a digital password and a fingerprint to unlock the lock. In the big wave of smart home, electronic lock is considered as the entry level product of smart home. With the upgrade of consumption and the change of people's consumption concept, excellent user experience will be the future development trend of electronic lock. However, in view of the current development status of electronic lock products, there is still a lack of research on user experience of electronic lock. This paper will evaluate the current electronic lock product structure from the perspective of user experience, to improve the user experience of electronic lock products in the future.
Design of Dual Sampling and Adaptive Predictive PID Controller for Buck DC DC Converters
Venue: J. Circuits Syst. Comput.
Year: 2019

In this paper, based on the combination scheme of dual sampling and adaptive predictive PID control, a digital controller for improving the transient performance of Buck DC DC converters is designed. Due to the inherent loop delay in analog to digital (A/D) conversion, the calculation process of the digital controller and digital pulse width modulator (DPWM) of conventional digitally controlled Buck DC DC converters limits the system bandwidth and this makes the transient response lower. The designed digital controller can reduce the delay time in analog to digital converter (ADC) the digital controller and DPWM of digitally controlled Buck DC DC converters. Adaptive predictive control is used to eliminate the delay time of ADC and the digital controller, while dual sampling scheme is used to reduce the delay time of DPWM in this paper. These are two new control schemes, and they show better performance in improving the transient response than other existing control schemes. Both simulation and experimental results demonstrate that the designed digital controller based on dual sampling and adaptive predictive PID control is effective in improving the transient performance of Buck DC DC converters. During experimental verification, for a load step between 0.5[Formula: see text]A and 1.0[Formula: see text]A, the fastest transient recovery time and the overshoot voltage are found to be 102[Formula: see text][Formula: see text]s and 120[Formula: see text]mV, respectively. Compared with the conventional digital PID controller, the transient recovery time and the overshoot voltage of the digital controller designed in this paper are decreased by 40.0% and 27.3% respectively.