nils-herrmann/clean_scirepeval huggingface dataset:
On the importance of sluggish state memory for learning long term dependency
Venue: Knowl. Based Syst.
Year: 2016

The vanishing gradients problem inherent in Simple Recurrent Networks (SRN) trained with back propagation, has led to a significant shift towards the use of Long Short Term Memory (LSTM) and Echo State Networks (ESN) which overcome this problem through either second order error carousel schemes or different learning algorithms, respectively.This paper re opens the case for SRN based approaches, by considering a variant, the Multi recurrent Network (MRN) We show that memory units embedded within its architecture can ameliorate against the vanishing gradient problem, by providing variable sensitivity to recent and more historic information through layer and self recurrent links with varied weights, to form a so called sluggish state based memory.We demonstrate that an MRN, optimised with noise injection, is able to learn the long term dependency within a complex grammar induction task, significantly outperforming the SRN, NARX and ESN. Analysis of the internal representations of the networks, reveals that sluggish state based representations of the MRN are best able to latch on to critical temporal dependencies spanning variable time delays, to maintain distinct and stable representations of all underlying grammar states. Surprisingly, the ESN was unable to fully learn the dependency problem, suggesting the major shift towards this class of models may be premature.
Potentialities of active membranes with immobilized laccase for Bisphenol A degradation.
Venue: International journal of biological macromolecules
Year: 2018

Herein, we report the development of immobilized laccase based membrane bioreactor as a novel bio catalytic system for the degradation of emerging endocrine disruptor i.e. Bisphenol A. Two laccase forms i.e. (1) in house isolated and purified from an indigenous white rot fungi Pycnoporus sanguineus (CS43) and (2) Trametes versicolor (commercial laccase from Sigma Aldrich(r) were immobilized on a multi channel ceramic membrane (1.4mm in diameter) using 4% glutaraldehyde as a cross linking agent. The immobilization yield and bisphenol A degradation activities of immobilized laccases were recorded at various pH levels. The surface topographies of immobilized laccase membranes were accessed by scanning electron microscopy. In this study, 100% degradation of bisphenol A (20mg/L) was achieved in less than 24h in the presence of laccase from P. sanguineus (CS43) (620.55+ 14.85U/L) and T. versicolor (620.55+ 14.85U/L) The enzymes showed an optimal activity at pH 5 and 5.4 with a degradation rate of 204.8+ 1.8 and 79.0+ 0.1mmol/min/U for P. sanguineus (CS43) and T. versicolor, respectively. In conclusion, the highest immobilization of unit per square centimeter and efficient degradation potentiality strongly recommend the newly developed immobilized laccase based membrane bioreactor as a novel tool to tackle emerging contaminants degradation issues.
Domestication and Foreignization In The Process Of Translation of the 8th Habit by Stephen R. Covey into Bahasa Indonesia
Year: 2015

The title of this dissertation is "Domestication and Foreignization in the Process of Translation of the 8 Habit From Effectiveness to Greatness by Stephen R. Covey into Bahasa Indonesia The 8 Habit "Melampaui Efektifitas, Menggapai Keagungan" Translated by Wandi S. Brata (Chap. 1 5) It deals with the investigation and the analysis of both translation strategies, i.e. domestication and foreignization. There are three reseaarch problems arised in in this dissertation, i.e. (1) What has been the most frequently used translation strategy (domestication and foreignization) dealing with culture specific items in the process of translating the 8th Habit from Effectiveness to Greatness by Stephen R. Covey? (2) How does the translation occur in the ST to TT? and (3) Why do the translation of domestication and the foreignization as the way they are? In order to answer these problems, some theories were applied, i.e. (1) Shuttleworth and Cowie, 2004:95) (2) Venuti, (2001:86) (3) Venuti (2000) (quoted in Schaffner 1995:4) and (4) Catford (1965: 94) The method of research used was descriptive qualitative. It was used because it was especially effective in obtaining culturally specific information about the values, opinions, behaviors, and social contexts of particular populations. The data themselves were all selected clauses, phrases that consist of domestication and foreignization components found in data source. The results of the analysis can be described as the following. For domestication it was found that there were 14% domestications in the form of word, 28% in the form of phrase, and 58% in the form of clause. While for foreignization, it was found only 30 foreignizations with 25 (83.3% in the form of words, and 5 (16,7% in the form of phrases. Foreignization in the form of clause was not found in this analysis. The conclusion is the domestication strategy was frequently used inte process of the translation of the 8th Habit from Effectiveness to Greatness by Stephen R. Covey.
PELATIHAN PUBLIC SPEAKING DI KOMUNITAS STAND UP INDO BOGOR
Year: 2020

Talent event stand up comedy television in Indonesia to cause the number of people who want to learn this art by joining to communities to study to be a komika by following a variety of training one of them is public speaking training. The purpose of this research to see how process of training public speaking of the community Stand Up Indo Bogor. This research in a qualitative deskiptif by using two technique data collection the primary and secondary data. The results of the study showed the training process public speaking of the community Stand Up Indo Bogor reference of a high effective communication namely by train communicator, prepare the message, control the audience, see the quality of media the messenger, and get an as expected. The conclusion of this research is training public speaking in a community Stands Up Indo Bogor has been running well in accordance with the process of effective communication, but there are additional training materials needed to become a komika as the training techniques non verbal (expression and gesture) adjusting references, exchanging experiences to analyze the audience, doing sound checks before performing, and making the audience laugh as feedback.  stand up comedy; public speaking; community; training.
Power Generation Using Mechanical Wave Energy Converter
Year: 2012

Ocean wave energy plays a significant role in meeting the growing demand of electric power. Economic, environmental, and technical advantages of wave energy set it apart from other renewable energy resources. Present study describes a newly proposed Mechanical Wave Energy Converter (MEWC) that is employed to harness heave motion of floating buoy to generate power. Focus is on the conceptual development of the device, illustrating details of component level analysis. Employed methodology has many advantages such as i) simple and easy fabrication; ii) easy to control the operations during rough weather; and iii) low failure rate during normal sea conditions. Experimental investigations carried out on the scaled model of MWEC show better performance and its capability to generate power at higher efficiency in regular wave fields.  Failure Mode and Effect Analysis (FMEA) shows rare failure rates for all components except the floating buoy.
Improvement of Indoor Air Quality by MDF panels containing walnut shells
Year: 2017

High levels of Volatile Organic Compounds (VOCs) and extremes of Relative Humidity (RH) commonly reduce indoor air quality with associated negative effects on human health and wellbeing. Interior materials are known to be one of the main contributors to poor indoor air quality. Notwithstanding, they can also act as a sink for airborne pollutants and excess moisture through adsorption. In this paper, we evaluate the ability of Medium Density Fibreboard (MDF) modified with walnut shell to regulate RH, toluene, limonene, dodecane and formaldehyde. The physicochemical properties, including molecular size/shape, vapour pressure, polarity and boiling point of VOCs allowed them to represent a range of pollutants. Adsorption and desorption behaviour of MDF containing up to 15 walnut shell was evaluated in two litre environmental chambers under dynamic conditions at 23 degC and 50 RH. The porous microstructure of the MDF and walnut shell and their chemical composition were analysed using SEM, XRD and FTIR. Compared to a control panel, walnut shell additions showed an improved ability to remove VOCs and formaldehyde from the indoor air and buffer humidity.
KV Match: A Subsequence Matching Approach Supporting Normalization and Time Warping
Venue: 2019 IEEE 35th International Conference on Data Engineering (ICDE)
Year: 2019

The volume of time series data has exploded due to the popularity of new applications, such as data center management and IoT. Subsequence matching is a fundamental task in mining time series data. All index based approaches only consider raw subsequence matching (RSM) and do not support subsequence normalization. UCR Suite can deal with normalized subsequence matching problem (NSM) but it needs to scan full time series. In this paper, we propose a novel problem, named constrained normalized subsequence matching problem (cNSM) which adds some constraints to NSM problem. The cNSM problem provides a knob to flexibly control the degree of offset shifting and amplitude scaling, which enables users to build the index to process the query. We propose a new index structure, KV index, and the matching algorithm, KV match. With a single index, our approach can support both RSM and cNSM problems under either ED or DTW distance. KV index is a key value structure, which can be easily implemented on local files or HBase tables. To support the query of arbitrary lengths, we extend KV match to KV match_DP, which utilizes multiple varied length indexes to process the query. We conduct extensive experiments on synthetic and real world datasets. The results verify the effectiveness and efficiency of our approach.
Spillover Thoughts in Rereading Time's Magazine's Obituary of Historian Arnold Toynbee: Teleologies of History, Contingency and Sub Specie Aeternitatis
Venue: Legal Education and Legal Traditions: Selected Essays
Year: 2020

The first part of this chapter analyses what historian of human civilizations Arnold Toynbee would have thought and said of the Stephen Jay Gould and Simon Conway Morris debate regarding the Burgess Shale in relation to contingency (Gould's point) and teleology (Conway Morris' In addition, the views regarding the teleological interpretation of human history discernible in the Christian and Marxian 'triumphalism' of Saint Augustine and Karl Marx's philosophies of history are also analysed. The views of the evolutionist and historian of science Ernst Mayr on the contingency/teleology debate are noted. The second part canvasses and juxtaposes the seventeenth century philosopher Spinoza's sub specie aeternitatis with those of Toynbee's exhortation to overcome 'intellectual provincialism' in viewing 'human affairs' Contemporary notions (in some circles) of (Intelligent) Design, Consilience and Emergence/Fine tuning are also analysed from what the author of the Chapter considered to be Spinozist viewpoints.
Correlation between lung neoplasm and serum level of osteopontin: A meta analysis
Venue: Biomedical reports
Year: 2016

The aim of this meta analysis was to evaluate the clinical significance of serum osteopontin (OPN) levels in lung neoplasm in patients to establish a novel diagnostic score model. Articles were identified by searching the PubMed, Web of Science, Google Scholar, China National Knowledge Infrastructure, and Wang Fang databases. Studies identified were pooled, and the standardized mean difference (SMD) and its corresponding 95% confidence interval (CI) were calculated. Subgroup analyses and publication bias detection were also conducted. Version 12.0 STATA software was used for statistical analysis. A final analysis of 1,327 subjects together (740 patients with lung neoplasms and 587 controls) was performed from 10 clinical case control studies. The meta analysis results showed a positive association between serum OPN levels and lung neoplasm (SMD=5.59, 95% CI: 1.85 3.32, P<0.001) The subgroup analysis by ethnicity detected that high levels of serum OPN may be the main risk factor for lung neoplasms in Asians (SMD=1.76, 95% CI: 1.24 2.29, P<0.001) but not in Caucasians (P=0.072) In conclusion, the present meta analysis indicated that serum OPN levels were generally elevated in lung neoplasm patients, and thus, serum levels of OPN may be useful in diagnosing lung neoplasm in certain population groups.
A Review of Algorithm Hardware Design for AI Based Biomedical Applications
Venue: IEEE Transactions on Biomedical Circuits and Systems
Year: 2020

This paper reviews the state of the arts and trends of the AI Based biomedical processing algorithms and hardware. The algorithms and hardware for different biomedical applications such as ECG, EEG and hearing aid have been reviewed and discussed. For algorithm design, various widely used biomedical signal classification algorithms have been discussed including support vector machine (SVM) back propagation neural network (BPNN) convolutional neural networks (CNN) probabilistic neural networks (PNN) recurrent neural networks (RNN) Short term Memory Network (LSTM) fuzzy neural network and etc. The pros and cons of the classification algorithms have been analyzed and compared in the context of application scenarios. The research trends of AI Based biomedical processing algorithms and applications are also discussed. For hardware design, various AI Based biomedical processors have been reviewed and discussed, including ECG classification processor, EEG classification processor, EMG classification processor and hearing aid processor. Various techniques on architecture and circuit level have been analyzed and compared. The research trends of the AI Based biomedical processor have also been discussed.
Drone Unmanned Aircraft System Flight Log: Logbook for the Professional or Hobbyist Drone and UAS Pilot with Technical Journey Log
Year: 2016

Unmanned Aircraft System Drone Flight and Technical Journey Log (Full Size 8.5 x 11 inch Army Green Edition) Also available in other colors and sizes on Amazon just search for "drone log pink" blue, red, green, yellow, black, orange, purple, maroon, tan, war eagle, or roll tide/ If you are looking for it's little brother the 5x8 inch Pocket Edition, just search for "Pocket Drone Log" Complete Logbook and Technical Journey Log for the Professional or Hobbyist Drone UAS Pilot It is important for you to capture your flight hours and any maintenance activities you perform as part of your flight operations. Under the FAA Part 107 ruleset governing the use of commercial and recreational small Unmanned Aircraft Systems (sUAS) a component of pilot aircraft operation is accurate recording of pilot flight hours and platform maintenance. This log book has been designed to facilitate your safe operation and assist you in following current AMA and FAA best practices. The Logbook is divided into two major sections: Flight Logs and Technical Journey Logs Flight Logs are primarily used to capture your plan, equipment, mission information, safety checks, flight conditions, and of course your actual flight hours. After each mission, you will total your flight hours and add previous mission flight hours, to obtain your rolling total airtime. Technical Journey Logs are primarily used to capture any flight anomalies, defects, or maintenance issues along with any corrective actions to resolve or mitigate the problem and return your aircraft to airworthiness standards. Logbook supports 175 flight Missions and 875 individual flights Technical Journey Log Fault correction section with support for over 75 maintenance action records Detailed Instruction section provides instructions on how to properly fill out the log entries and how to document flights, and document aircraft platform maintenance FAA Considerations Section Helpful Online Resources Section
The acoustic analogy in four dimensions
Venue: International Journal of Aeroacoustics
Year: 2019

The classical acoustic analogy theory is incomplete in the sense that the original research on the subject focused only on the prediction of acoustic pressure. There were no provisions for predicting the three components of acoustic velocity which are needed as input for aeroacoustic scattering applications. This is because the scalar wave equations of Lighthill and Ffowcs Williams and Hawkings were derived from the fluid conservation equations by eliminating three of the four governing differential equations from which the acoustic velocity could have been obtained. Recently developed acoustic analogy methods for predicting the acoustic velocity lead to complex formulations whose numerical evaluation can be problematic when providing input for large scale scattering problems. Their calculation can overwhelm the numerical scattering process when the incident sound has high frequency content, such as that produced by the rotating blades of various propulsion devices. To obtain improved acoustic analogy formulations for scattering and other applications, the three discarded differential equations are returned to the analysis in this paper and the historical acoustic analogy equations are derived anew using four dimensional tensor methods. The 4 D formulation is an application of the electromagnetic analogy (EMA) a concept based on the equivalence of Maxwell's equations and the fluid conservation equations of mass and momentum. The scalar equations of Lighthill, Ffowcs Williams and Hawkings, Farassat, and Kirchhoff are extended to four equations one equation for the acoustic pressure (or acoustic density) and three equations for the acoustic velocity. The 4 D tensor representation provides significant theoretical and computational simplification relative to the classical approach. For each of the original acoustic analogy results, a single, concise formulation in 4D is derived that enables the simultaneous prediction of acoustic pressure and the three components of acoustic velocity.
Med3D: Transfer Learning for 3D Medical Image Analysis
Venue: ArXiv
Year: 2019

The performance on deep learning is significantly affected by volume of training data. Models pre trained from massive dataset such as ImageNet become a powerful weapon for speeding up training convergence and improving accuracy. Similarly, models based on large dataset are important for the development of deep learning in 3D medical images. However, it is extremely challenging to build a sufficiently large dataset due to difficulty of data acquisition and annotation in 3D medical imaging. We aggregate the dataset from several medical challenges to build 3DSeg 8 dataset with diverse modalities, target organs, and pathologies. To extract general medical three dimension (3D) features, we design a heterogeneous 3D network called Med3D to co train multi domain 3DSeg 8 so as to make a series of pre trained models. We transfer Med3D pre trained models to lung segmentation in LIDC dataset, pulmonary nodule classification in LIDC dataset and liver segmentation on LiTS challenge. Experiments show that the Med3D can accelerate the training convergence speed of target 3D medical tasks 2 times compared with model pre trained on Kinetics dataset, and 10 times compared with training from scratch as well as improve accuracy ranging from 3% to 20% Transferring our Med3D model on state the of art DenseASPP segmentation network, in case of single model, we achieve 94.6\ Dice coefficient which approaches the result of top ranged algorithms on the LiTS challenge.
Development of Youth Entrepreneurship in Russia in the Conditions of Digital Economy
Year: 2018

This paper describes the current situation with youth unemployment in Russia, put forward assumptions about its causes, including shortcomings in the organization of the educational process. The team of authors proposes measures to develop the Russian economy by involving young people in entrepreneurial activities in the conditions of digitalization of the economy through changes in the educational process of students. The analysis made it possible to draw conclusions about the ineffectiveness of the current state of economic policy, which is not aimed at promoting entrepreneurial initiatives by providing financial and other support, but at regulation and control of additional types of earnings for certain categories of citizens. The team of authors proposes recommendations on improving the educational process, within the frameworks of which the students studying at universities will be given theoretical and practical knowledge of doing business to solve existing problems.
Efek samping pemberian kurkumin msn terhadap gambaran histopatologi ginjal (Rattus norvegicus) jantan sebagai uji toksisitas khusus
Year: 2017

Kunyit (Curcuma longa Linn) merupakan salah satu dari rempah yang sudah sangat dikenal oleh masyarakat sebagai rempah yang memiliki banyak khasiat untuk kesehatan. Kunyit mengandung senyawa yang berkhasiat obat, yang disebut kurkuminoid yang terdiri dari kurkumin, desmetoksikurkumin dan bisdesmetoksi kurkumin dan zat zat manfaat lainnya. Salah satu senyawa aktif yang terkandung dalam rimpang kunyit mampu bekerja sebagai antiinflamasi yaitu kurkumin. Dimana pada penelitian sebelumnya Kurkumin yang diberikan secara oral dilaporkan memiliki kadar yang rendah di serum dan jaringan, metabolisme, dan eliminasi yang cepat disebabkan oleh kelarutan kurkumin yang buruk, sehingga pada penelitian ini diperlukan bahan pembawa yaitu Mesoporous Silica Nanopartikel (MSN) Penelitian ini bertujuan untuk mengetahui apakah ekstrak kurkumin dengan dosis 2mg/200gBB dari tanaman kunyit (Curcuma Longa) dan Kurkumin MSN dengan dosis 10mg/200gB mempunyai efek samping yang lebih rendah didalam histopatologi ginjal pada pengamatan mikroskopis sel nekrosis pada tubulus proksimalis dan tubulus distalis. Metode penelitian menggunakan metode perbandingan antara ginjal tikus putih jantan dengan menggunakan obat pembanding yang biasa dipakai dipasaran, yaitu tablet voltaren. Tikus dibagi menjadi empat kelompok perlakuan yaitu kelompok 1 tidak diberi perlakuan atau hanya diberi WFI; kelompok 2 diberikan ekstrak kurkumin 2mg/200gBB; kelompok 3 diberikan Kurkumin MSN 10mg/200gBB; kelompok 4 sebagai pembanding menggunakan sediaan Natrium Diklofenak 1mg/200gBB. Parameter yang diamati adalah jumlah sel nekrosis pada setiap kelompok tikus dibagian tubulus proksimalis dan tubulus distalis. Data yang diperoleh dari pengamatan mikroskopis dianalisis dengan One Way Anova (Duncan (a=0,05) Hasil penelitian menunjukkan bahwa kurkumin msn mempunyai efek samping kerusakan terhadap histopatologi ginjal pada tubulus proksimal dan tubulus distalis lebih rendah dibandingkan dengan kelompok pemberian natrium diklofenak.