nils-herrmann/clean_scirepeval huggingface dataset:
The Design of a Quantitative Western Blot Experiment
Venue: BioMed research international
Year: 2014

Western blotting is a technique that has been in practice for more than three decades that began as a means of detecting a protein target in a complex sample. Although there have been significant advances in both the imaging and reagent technologies to improve sensitivity, dynamic range of detection, and the applicability of multiplexed target detection, the basic technique has remained essentially unchanged. In the past, western blotting was used simply to detect a specific target protein in a complex mixture, but now journal editors and reviewers are requesting the quantitative interpretation of western blot data in terms of fold changes in protein expression between samples. The calculations are based on the differential densitometry of the associated chemiluminescent and/or fluorescent signals from the blots and this now requires a fundamental shift in the experimental methodology, acquisition, and interpretation of the data. We have recently published an updated approach to produce quantitative densitometric data from western blots (Taylor et al. 2013) and here we summarize the complete western blot workflow with a focus on sample preparation and data analysis for quantitative western blotting.
Eigenvalues of Hermitian Toeplitz matrices with smooth simple loop symbols
Year: 2015

The paper presents higher order asymptotic formulas for the eigenvalues of large Hermitian Toeplitz matrices with moderately smooth symbols which trace out a simple loop on the real line. The formulas are established not only for the extreme eigenvalues, but also for the inner eigenvalues. The results extend and make more precise existing results, which so far pertain to banded matrices or to matrices with infinitely differentiable symbols. Also given is a fixed point equation for the eigenvalues which may be solved numerically by an iteration method.
Online city scale hyper local event detection via analysis of social media and human mobility
Venue: 2017 IEEE International Conference on Big Data (Big Data)
Year: 2017

In this paper, we investigate the problem of detecting real time city scale hyper local events based on the analysis of social media and human mobility. Different from general events reported by news media, hyper local events refer to both small scale and large scale events pertaining to a geographical location. Since small scale events, e.g, a party in a pub, an exhibition in a local museum, are not often reported through mainstream media platforms, such as newspapers, TV news, web media or government report, it is challenging to obtain the resources related to such kind of events. Besides, those media platforms have a great latency in reporting the news of ongoing events, resulting in that the events we saw might take place a couple of days ago. Though people have tried to find clues of events from real time social media streams (e.g. Instagram and Twitter) the scarcity of social posts with geo tagged information leads to a very low quality of localized event detection. In this paper, in addition to the data from social media stream, we apply human mobility data which contain rich spatial temporal information as another important resource to improve the performance of hyper local event detection. Specifically, we use taxi data as it is expected that the occurrence of hyper local events usually leads to the change in the surrounding traffic. As far as our knowledge, this is the first work which combines multiple social media data sources with human mobility information for the task of real time hyper local event detection. We propose a two step framework which is composed of an anomaly filter and an event classifier. Through experiments on New York City data, we show that our proposed system can effectively detect both small scale and large scale local events. Furthermore, we verify that applying human mobility data can significantly enhance the performance of event detection and classification.
Self supervised transfer learning of physiological representations from free living wearable data
Venue: CHIL
Year: 2021

Wearable devices such as smartwatches are becoming increasingly popular tools for objectively monitoring physical activity in free living conditions. To date, research has primarily focused on the purely supervised task of human activity recognition, demonstrating limited success in inferring high level health outcomes from low level signals. Here, we present a novel self supervised representation learning method using activity and heart rate (HR) signals without semantic labels. With a deep neural network, we set HR responses as the supervisory signal for the activity data, leveraging their underlying physiological relationship. In addition, we propose a custom quantile loss function that accounts for the long tailed HR distribution present in the general population. We evaluate our model in the largest free living combined sensing dataset (comprising >280k hours of wrist accelerometer wearable ECG data) Our contributions are two fold: i) the pre training task creates a model that can accurately forecast HR based only on cheap activity sensors, and ii) we leverage the information captured through this task by proposing a simple method to aggregate the learnt latent representations (embeddings) from the window level to user level. Notably, we show that the embeddings can generalize in various downstream tasks through transfer learning with linear classifiers, capturing physiologically meaningful, personalized information. For instance, they can be used to predict variables associated with individuals' health, fitness and demographic characteristics (AUC >70) outperforming unsupervised autoencoders and common bio markers. Overall, we propose the first multimodal self supervised method for behavioral and physiological data with implications for large scale health and lifestyle monitoring. Code: https:/github.com/sdimi/Step2heart.
Altruistic Renal Donation in a Patient With Dissociative Identity Disorder: A Case Report.
Venue: Psychosomatics
Year: 2020

Altruistic donation is currently a common source of organs for kidney transplantation in the United States. In clinical practice, prospective donors typically undergo psychosocial evaluations to determine their suitability for donation. However, the current guidelines for such assessments contain limited recommendations in regard to specific psychiatric disorders. Here we discuss the case of a patient with dissociative identity disorder (DID) who presented for altruistic kidney donation, the challenges involved in her evaluation, and available evidence pertaining to risk assessment in this patient population. Stable baseline functioning, fewer suicidal behaviors, higher integration of personality states and engagement in long term specialized treatment may predict a better general psychiatric prognosis for DID patients, and thus may be useful parameters to consider when assessing risk for live organ donation. We recommend a multi pronged approach to the psychosocial evaluation for DID patients for altruistic kidney donation. Such an approach should include taking an extensive history of psychiatric illness including suicidal and self injurious behavior, any prior experiences or adverse responses to medical and surgical procedures, and assessment of baseline functioning and level of integration of personality states. Performing a careful capacity assessment for informed consent should include a focus on the patient's personalities' opinions about donation while evaluating for any discrepancies between them. Collateral history is also crucial for determining risk as both the patient's psychiatric narrative and consistency amongst personality states must be corroborated. Finally, we recommend consulting DID experts and including their recommendations in the final risk assessment.
Squeeze and Excitation Networks
Venue: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Year: 2018

Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel wise information together within local receptive fields. In order to boost the representational power of a network, several recent approaches have shown the benefit of enhancing spatial encoding. In this work, we focus on the channel relationship and propose a novel architectural unit, which we term the "Squeeze and Excitation" (SE) block, that adaptively recalibrates channel wise feature responses by explicitly modelling interdependencies between channels. We demonstrate that by stacking these blocks together, we can construct SENet architectures that generalise extremely well across challenging datasets. Crucially, we find that SE blocks produce significant performance improvements for existing state of the art deep architectures at minimal additional computational cost. SENets formed the foundation of our ILSVRC 2017 classification submission which won first place and significantly reduced the top 5 error to 2.251% achieving a ~25% relative improvement over the winning entry of 2016. Code and models are available at https:/github.com/hujie frank/SENet.
Personal Entrepreneurial Skills of Public School Teachers
Year: 2021

In the Philippines, teachers tend to find other sources of income due to some financial circumstances. With this, some teachers were entrepreneurs (termed as teacherpreneur) during break time and after office hours. This paper determined the profile of the teacher entrepreneurs and identified the Personal Entrepreneurial Capabilities (PEC) of the aspiring Teacher Entrepreneurs. Further, this paper assessed the Personal Entrepreneurial Capabilities of the teacher entrepreneurs as startup for business and evaluated the Personal Entrepreneurial Capabilities of the Respondents before and after the training. A total of 89 teacher entrepreneurs (31 females and 58 males) were surveyed using a questionnaire with likert scale responses. The researcher pointed out the following significant conclusions: first, majority of the respondents were young which fall on the age bracket of 20 29, male, single, permanent in employment status, less than 5 years in service, low monthly net income and they don't have business background. It implies that even though respondents were young, they are already secured in their employment status. Second, the highest personal entrepreneurial capabilities were commitment to work contract, information seeking, opportunity seeking, and systematic planning/ monitoring. The lowest capabilities were risk taking and demand for quality/ efficiency. It implies that respondents were more on information seeking because of their profession while less risk takers since they don't want to lose what they currently have. Third, self analysis output implies that respondents were capable of being an entrepreneur. Last, the personal entrepreneurial capabilities that need improvement are risk taking, demand for quality/efficiency and self confidence.
THE COMPARISON OF BRICK SHRINKAGE VALUE ON THE ADDITION OF COCONUT AND RICE HUSK ASH
Year: 2020

A research has been conducted on the comparison of the value of burnt shrinkage and porosity of bricks by adding a mixture of coconut husk ash and rice husk ash. The purpose of this study is to determine the effect of variations in the addition of coconut husk ash and rice husk to the value of burnt shrinkage and porosity of bricks. Porosity testing was carried out due to the addition of a mixture of coir ash and rice husk to produce porous bricks. Variations in the percentage of clay with a mixture (coconut husk ash and rice husk ash) include 100%:0% 95%:5% 90%:10% 85%:15% and 80%:20% The results obtained for the value of burnt shrinkage from the addition of rice husk ash in brick making results are smaller than the addition of coconut coir ash. The results of the shrinkage value of the addition of coconut coir ash and rice husk already meet the SNI 15 2094 2000 standards that is 20% With large porosity values exceeding SNI 15 2094 2000 standards, the suggested bricks are used as an inner wall and cannot be used as a face wall. Keyword s burn t shrinkage, coconut husk ash, porosity and rice husk ash
Accurate Speech Emotion Recognition by using Brain Inspired Decision Making Spiking Neural Network
Year: 2019

A portion of speech recognition is taken away by emotion recognition which is a smart update and it is necessary for its gain massively. Feature selection is an indispensable stage among the furtherance of various schemes in order to implement the classification of sentiments in speaking. The communication among features prompted from the alike audio origin has been rarely deliberated at present, which might yield terminated features and cause an upswing in the computational costs. To resolve these defects the deep learning based feature extraction technique is used. An incredible modernization in speech recognition in recent years incorporates machine learning techniques with a deep structure for feature extraction. In this paper, the speech signal obtained from the SAVEE database is used as an input for a deep belief network. In order to perform pre training in the network, the layer wise rapacious feature extraction tactic is implemented and by using systematic samples, the smearing back propagation method is accomplished for attaining fine tuning. Brain inspired decision making spiking neural network (SNNs) is used to recognize different emotions but training by deep SNNs remains a challenge, but it improves the determination of the result. In order to enhance the parameters of SNNs, a social ski driver (SSD) evolutionary optimization algorithm is used. The results of the SNN SSD algorithm are related to artificial neural networks and long short term memory with different emotions to refine the classification for authorization.
Human health risk assessment of soil in an abandoned arsenic plant site: implications for contaminated site remediation
Venue: Environmental Earth Sciences
Year: 2019

The abandoned contaminated site remediation has been recognized valuable for their redevelopment bringing social, economic and environmental benefits. The risk assessment is a key step in the process of contaminate site remediation. However, in terms of experience of contaminated site risk assessment, China is in the early stage. A challenge for decision makers responsible for clean up of contaminated sites has been the understanding the crucial role of risk assessment in the process of contaminated site remediation. In this study, a site specific human health risk assessment was used to prioritize the high risk sites contaminated with heavy metals (As, Cd, Hg, Pb, and Zn) in Luoma site, located in Hechi City, China. It is found that, for As, Cd, Pb and Zn, the China's soil threshold value exceeded in 96% 78% 35% and 43% of analyzed soil samples, respectively. Further studies conclusively showed the soil at Luoma site in its present condition pose non cancer and cancer risks to potential future receptors. The main contribution of non cancer and cancer risks was through oral intake. As and Pb were the dominant substances responsible for cumulative risk and sub areas which require to remediate. The obtained results have confirmed the environment effects and high human health risk at Luoma site. They may also be used to provide scientific basis for contaminated remediation and redevelopment.
TABOO LANGUAGE IN MALAY PANAI LANGUAGE OF LABUHAN BILIK DIALECT
Venue: Language Literacy: Journal of Linguistics, Literature, and Language Teaching
Year: 2019

This research dealt with the identification of taboo language in Malay Panai Language of Labuhan Bilik Dialect. It is a language spoken by people living in Labuhan Bilik village, Panai Tengah district, Labuhan Batu, Rantau Prapat. The objective of this research was to describe the classification of the taboo words in Malay Panai Language of Labuhan Bilik Dialect (MPLLBD) The research applied was descriptive qualitative approach. The data were collected through observation, recording, and field notes. Then, the data were analyzed by identifying taboo words and categorizing them into the types of taboo words. Thus, each of the taboo words were presented in some examples of utterances in the language. Some words were considered taboo or not depending on the context in which they were used. The finding shows that taboo words in MPLLBD could be either implicit or explicit. In conclusion, there were some classifications of taboo words in the language which were related to the utterances of sex, death, excretion, body function, religion, animals, vague words, and disease.
Anatomic lectures on structures at risk prior to cadaveric courses reduce injury to the superficial peroneal nerve, the commonest complication in ankle arthroscopy
Venue: Knee Surgery, Sports Traumatology, Arthroscopy
Year: 2019

To assess the effectiveness of cadaveric ankle arthroscopy courses in reducing iatrogenic injuries.  A total of 60 novice surgeons enrolled in a basic cadaveric ankle arthroscopy course were divided into two groups. Group A n 32) was lectured on portal placement and use of the arthroscope, whereas group B n 28) was in addition lectured on specific portal related complications. Following the performance of anterior ankle arthroscopy and hindfoot endoscopy, the specimens were dissected and carefully assessed for detection of any iatrogenic injuries.  The rate of injury to the superficial peroneal nerve (SPN) was reduced from 25 to 3.6% in group A compared with B p 0.033) Injuries to the peroneus tertius or extensor digitorum longus, the flexor hallucis longus and the tibial nerve or the Achilles tendon were also reduced in group B. Overall, the number of uninjured specimens was 50% n 30) and higher in group B (57% than group A (44% Lesions to the plantaris tendon, the sural nerve or the posterior tibial artery were more common in group B, however, without reaching statistical significance. Overall, 25 (13.9% anatomic structures were injured in anterior arthroscopy compared to 18 (5% in hindfoot endoscopy, out of a potential total of 180 and 360, respectively p 0.001)  Dedicated lectures on portal related complications have proven useful in reducing the risk of injury to the SPN, the commonest iatrogenic injury encountered in ankle arthroscopy. Hindfoot endoscopy is significantly safer than anterior ankle arthroscopy in terms of injury to anatomical structures.
Study of internal wave characteristics off northwest Bay of Bengal using synthetic aperture radar
Venue: Natural Hazards
Year: 2020

Internal solitary waves (IWs) in the northwest Bay of Bengal were studied using ENVISAT ASAR imageries. Simultaneous in situ observations were also carried out to study the characteristics of the internal waves. Internal wave features have often been observed over the ocean area between 18.5deg 19.5deg N and 84.5deg 85.5deg E. The direction of propagation of IWs is generally toward the coast with wavelengths ranging from 0.4 to 1.1 km. The phase speeds of the IWs vary from 0.12 to 1.3 m/s. Internal wave amplitudes computed using Korteweg and de Vries model show good agreement with in situ data. Based on their direction of propagation and time series analysis, IWs generated were found to be of tidal forcing origin over local topographic features. IWs of different types like wave packets or wave trains and single solitons of weak manifestations were observed depending on the phase and the tidal amplitude as well as the stratification of the ocean, which in turn vary due to the dynamic and complex nature of Bay of Bengal, as it experiences strong monsoon winds and low pressure systems with calm weather in between them. The internal waves are often observed during non monsoon period over this region. During monsoon period, continuous vertical mixing takes place due to strong winds causing unfavorable conditions for IW formation and so the observation of IWs during monsoons is rather rare.
Artificial Intelligence and the 'Good Society' the US, EU, and UK approach
Venue: Sci. Eng. Ethics
Year: 2018

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence (AI) In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a 'good AI society' To do so, we examine how each report addresses the following three topics: (a) the development of a 'good AI society' (b) the role and responsibility of the government, the private sector, and the research community (including academia) in pursuing such a development; and (c) where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long term strategy for the development of a 'good AI society' In order to contribute to fill this gap, in the conclusion we suggest a two pronged approach.
Pengaruh Celebrity Endorser Valentino Rossi Terhadap Brand Image Sepeda Motor Yamaha (Studi Pada Mahasiswa Fakultas Komunikasi Dan Bisnis Universitas Telkom)
Year: 2014

ABSTRAK Tujuan penelitian ini adalah untuk mengetahui seberapa besar pengaruh penggunaan celebrity endorser Valentino Rossi terhadap pembentukan brand image sepeda motor Yamaha di lingkungan Mahasiswa Fakultas Komunikasi dan Bisnis, Universitas Telkom. Jenis penelitian yang digunakan dalam penelitian ini adalah analisis deskriptif dan analisis regresi linier sederhana.Data dikumpulkan melalui survey menggunakan kuesioner terhadap Mahasiswa Fakultas Komunikasi dan Bisnis Universitas Telkom angkatan 2011 2013.Teknik pengambilan sampel yang digunakan adalah purposive sampling dengan jumlah sampel sebanyak 94 responden.Hasil penelitian berdasarkan uji t, celebrity endorser Valentino Rossi berpengaruh terhadap brand image sepeda motor Yamaha, hal ini dibuktikan dengan nilai thitung 6,933 ttabel 1,986. Berdasarkan.koefisien determinasi menunjukan bahwa variabel celebrity endorser yang terdiri dari visibility, credibility, attraction, dan power memiliki pengaruh sebesar 0,343 atau 34,3% terhadap variabel brand image yang terdiri dari corporate image, user image, dan product image.  Pemasaran, Celebrity Endorser, Brand Image  The objective from this research is to know how big the influence of Valentino Rossi as a celebrity endorser on brand image formation of Yamahamotorcycle for students in faculty of communication and business, Telkom University. Research method that is employed in this research is descriptive analysis and simple linier statistic analysis. The data were collected through a questionnaire to student in Faculty of Communication and Business, Telkom University, year 2011 2013. The sampling technique used was purposive sampling and obtained 94 college students as a sample.Based on t test, celebrity endorser Valentino Rossihad an influenced to brand image of Yamaha motorcycle, it is proved with fcalculate 6,933 ftable 1,986. The result from determination coefficient test, show that variable celebrity endorser consisting of visibility, credibility, attraction, and has the power had an influenced with a value of 34,3% to variable brand image consisting of corporate image, user image, and product image.  Marketing, Celebrity Endorser, Brand Image