nils-herrmann/clean_scirepeval huggingface dataset:
Environmental claims in Indian print advertising: an empirical study and policy recommendation
Year: 2017

Environmental claims in advertising (green ads) provide competitive advantage to firms. This study aims to understand what kinds of environmental claims advertisers make in a developing nation like India. Further, implications for policymakers and advertisers are discussed.  A content analysis of 279 green print advertisements was conducted using a comprehensive list of claim categories identified from the advertising literature. These categories included advertiser profile; ad promotions type, sector, appeal; claim nature, type, focus, validity, emphasis; executional elements illustration setting, presenter, format/structure and environmental issue, identified from past studies and practitioner interviews.  The findings suggest that majority of the advertisers using green ads are manufacturers. Consumer durables, real estate and power sector together constitute one third of the total green ads. Further, most of the green ads are aimed at influencing consumer behaviour. Though most of the ads contain strong emphasis on environmental attributes, they are ambiguous. A large proportion of claims are credence in nature and lack product identification through environmental certifications. This study also identifies areas of concern including interpretation of the term green, use of multiple certifications, greenwashing and advertisers showing environmental responsiveness through event based green advertising. Policy recommendations are made based on green advertising regulations governing them across developed and other developing countries.  The content analysis of the green advertisements in this study was limited to newspaper advertisements within the print media. Future studies may use advertisements from different media types, such as the internet ads and television commercials, to examine the effect of media type on the nature of green advertisements. It would also be interesting to examine the role of regulations as a moderator, influencing the claims made in green advertisements.  The findings of this study provide a comprehensive overview of the nature of green advertisements in India. Marketers may use these insights to design effective green advertising strategies.  Most of the extant literature has examined environmental claims in the context of developed nations, where regulations are well established. Very few studies have examined this issue in the context of developing countries. In addition, most of the previous studies have focused on specific issues like greenwashing, appeals and execution elements. The present study contributes to green advertising by examining environmental claims in case of a developing nation like India using a comprehensive list of claim categories. This study also identifies areas of concern and suggests recommendations for policymakers and advertisers.
Almost Automorphic Type and Almost Periodic Type Functions in Abstract Spaces
Year: 2013

1. Metric, Banach, and Hilbert Spaces. 2. Linear Operators on Banach Spaces. 3. Almost Periodic Functions. 4. Almost Automorphic Functions. 5. Pseudo Almost Periodic Functions. 6. Pseudo Almost Automorphic Functions. 7. Existence Results for Some Second Order Differential Equations. 8. Existence Results to Some Integrodifferential Equations. 9. Existence of C(m) Pseudo Almost Automorphic Solutions. 10. Pseudo Almost Periodic Solutions to Some Third Order Differential Equations. 11. Pseudo Almost Automorphic Solutions to Some Sobolev Type Equations. 12. Stability Results for Some Higher Order Difference Equations. 13.
Patient specific ECG classification by deeper CNN from generic to dedicated
Venue: Neurocomputing
Year: 2018

This paper presents a new mechanism which is more effective for wearable devices to classify patient specific electrocardiogram (ECG) heartbeats. In our method, a Generic Convolutional Neural Network (GCNN) is trained first using a large number of heartbeats without distinguishing patients. Based on the GCNN, fine tuning technique is applied to modify the GCNN to a Tuned Dedicated CNN (TDCNN) for the corresponding individual. Notably, only the GCNN instead of common training data is required to be stored into wearable devices. Moreover, only fine tuning with several seconds rather than dozens of minutes is needed before the TDCNN is used to monitor the long term ECG signals in clinical. To accelerate the ECG classification, only the original ECG heartbeat is input to the CNN without other extended information from the neighbor heartbeats or FFT representation. A deeper CNN architecture with small scale convolutional kernels is adopted to improve the speed and accuracy for classification. With deeper CNN, hierarchical features can be extracted to help improve the accuracy of ECG classification. The state of the art performance on efficiency and accuracy for ECG classification over MIT BIH dataset is achieved by the proposed method. The effectiveness and superiority for detecting ventricular ectopic beats (VEB) and supraventricular ectopic beats (SVEB) events are demonstrated. The proposed mechanism of fine tuning the GCNN to TDCNN improves the efficiency for training patient specific CNN classifier. Because of the computational efficiency of fine tuning, ECG diagnosis and heart monitoring can be easily implemented with popular wearable devices in practice.
Serum uric acid and appropriate cutoff value for prediction of metabolic syndrome among Chinese adults
Venue: Journal of clinical biochemistry and nutrition
Year: 2013

The relation between serum uric acid and metabolic syndrome is observed not only with frank hyperuricemia but also with serum uric acid levels within the normal range. The current "normal" range set for hyperuricemia often fails to identify patients with potential metabolic disorders. We investigate the association between serum uric acid within the normal range and incident metabolic syndrome risk, and further to determine the optimal cut off value of serum uric acid for the diagnosis or prediction of metabolic syndrome. A total of 7399 Chinese adults (2957 men and 4442 women; =20 years) free of metabolic syndrome were followed for 3 years. During the 3 year follow up, 1190 normouricemic individuals developed metabolic syndrome (16.1% After adjusting the associated variables, the top quartile of serum uric acid levels was associated with higher metabolic syndrome development compared with the bottom quartile in men (hazard ratio (HR) 1.29; p<0.05) and women (HR, 1.62; p<0.05) ROC curve analysis indicated that the optimal cut off values for serum uric acid to identify metabolic syndrome were 6.3 mg/dl in men and 4.9 mg/dl in women. Our results suggested that high baseline serum uric acid levels within the normal range predict future development of metabolic syndrome after 3 y of follow up.
An exploratory study on physician/patient electronic messaging within secured health portals
Year: 2015

When the HITECH Act of 2009 set mandates for the transition from paper to electronic health records (EHRs) few realized the far reaching impact this technological change would have on the entire healthcare environment. This dissertation examines the many facets of this adoption process by exploring perceptions, responses, and reactions of physicians and patients alike as they navigate through this transformative "medicological environment." Characterized by influences from legal, political, governmental, medical, social, geographical, economic, and technological factors, this multi faceted space reveals how a new medium for communication the electronic message within secured health portals transforms the way in which healthcare is managed and utilized today. Multiple methods of observation, including oral histories, surveys, critical incident reports, and content analyses of data mined messages, together reveal the many challenges faced by patients and healthcare professionals alike as they attempt to adapt to this change while still maintaining (or improving upon) primary healthcare needs. As demonstrated by the varied responses from those living in rural and urban areas, it was found that each population approached the transition process from different vantage points. The early adopting, urban physicians provided patient online communication simply because they felt patients expected it while rural physicians tended to resist the process, arguing that patients were media illiterate, lacked Internet access, and preferred face to face interactions. Others cited implementation costs and personnel training issues as a deterring factor. This provides insight into how such a new medium can affect user perceptions about online healthcare, including physician availability, online relationship factors, and overall patient care. Future research suggestions include expanded content analyses of the electronic messages themselves and follow up, longitudinal research once implementation is more widespread. As the Institute of Medicine (2008) states, all patients have the right to varied means of communicating with their physicians, including but not limited to online interactions. Evidence of a paradigmatic shift exists in physician training as well as patient expectations. The influence of online communication within secured health portals certainly has contributed towards this shift as more personalized, patient centered care becomes a vital part of this ever changing medicological environment.
Calibration Method of Accelerometer's High Order Error Model Coefficients on Precision Centrifuge
Venue: IEEE Transactions on Instrumentation and Measurement
Year: 2020

This paper presents a new calibration method of the accelerometer tested on a precision centrifuge to further enhance the calibration accuracy of the high order error model coefficients. To eliminate the influence of dynamic and static error sources of precision centrifuge on calibration accuracy, nine coordinate systems are established considering the errors of a centrifuge, which are propagated by homogeneous transformation, and the accurate specific forces acting on three axes of the tested accelerometer are obtained. Based on the error model and the accurately computed input specific forces of the accelerometer, the indicated outputs of the tested accelerometer are derived, and with the combinations of indicated outputs of six calibration position pairs, a calibration model of the accelerometer is established. By designing a test plan of 12 positions under three mounting modes and using the least squares method, all the high order error model coefficients of the tested accelerometer are calibrated accurately. In the calibration method, the dynamic errors of precision centrifuge are introduced into the observation vectors, and the static errors are introduced into the vectors to be identified; the influence of centrifuge errors is automatically eliminated. Error analysis implies that the calibration accuracy is improved greatly.
Hubungan keaktifan belajar siswa terhadap prestasi belajar
Year: 2019

Tujuan penelitian ini untuk mengetahui apakah terdapat hubungan atau tidak antara keatifan belajar siswa terhadap prestasi belajar matematika. Untuk penelitian ini metode penelitian yang digunakan yaitu metode expo facto Populasi yang dipilih dalam penelitian ini adalah siswa kelas VIII SMP Negeri 2 Telukjambe Barat Tahun Ajaran 2019/ 2020 dan sampel yang diambil adalah siswa kelas VIII seni 1 dan pemilihan sampel diperoleh dengan cara simple random sampling Pengumpulan data dilakukan dengan penyebaran angket keaktifan belajar untuk mengetahui hubungan keaktifan belajar siswa terhadap prestasi belajar. Analisis data yang digunakan untuk pengujian hipotesis menggunakan analisis korelasi. Hasil penelitian menunjukkan terdapat hubungan yang signifikan antara keaktifan belajar siswa terhadap prestasi belajar dikarenakan nilai sign yang didapat yaitu 0,025 0,05 dan memiliki nilai koefisien korelasi sebesar 0,394 yang berarti hubungan yang didapat masuk dalam kategori cukup kuat.
Decision Support System for Boarding house Search Using Topsis Algorithm
Venue: 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)
Year: 2019

Boarding house are temporary homes that are most in demand by students or upper level students. However, to get the appropriate boarding house is not easy because of the difficulty of obtaining boarding house information and also many boarding house criteria that must be considered such as rental rates, room area and boarding house facilities etc. Multi criteria decision support system using the Topsis method can facilitate students in finding boarding house. Users can input the boarding house criteria to be searched such as rental rates, room area and boarding house facilities, then after that a mathematical calculation will be performed on each boarding house using the Topsis method. Resulting in board recommendations that match what the user is looking for. The system is made using Java for Android based programming. The test is performed using the confusion matrix method to measure the accuracy of the costing recommendations produced by the system, resulting in 83% accuracy and 17% of recommendation errors.
Imbalance Problems in Object Detection: A Review
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2021

In this paper, we present a comprehensive review of the imbalance problems in object detection. To analyze the problems in a systematic manner, we introduce a problem based taxonomy. Following this taxonomy, we discuss each problem in depth and present a unifying yet critical perspective on the solutions in the literature. In addition, we identify major open issues regarding the existing imbalance problems as well as imbalance problems that have not been discussed before. Moreover, in order to keep our review up to date, we provide an accompanying webpage which catalogs papers addressing imbalance problems, according to our problem based taxonomy. Researchers can track newer studies on this webpage available at: https:/github.com/kemaloksuz/ObjectDetectionImbalance.
Maneuverable missile and turbofan engine integrated design constrain analysis and mission analysis
Year: 2006

By using the method of aircraft and turbofan engine integrated analysis,a model of maneuverable missile and turbofan engine integrated constrain analysis and mission analysis was developed and the computative examples and the analysis were given.The mission section,the constrain conditions,the weight composition of the maneuverable missile,and the model of used in turbofan engine maneuverable missile were presented.A prediction method of lift to drag ratio of subsonic maneuverable missile was given.The empty weight to total weight ratio of subsonic maneuverable missile was given experimentally.The constrain analyzed results and the mission analyzed results of some maneuverable missiles indicate that the model of maneuverable missile and turbofan integrated constrain analysis and mission analysis is feasible and available.
LANGUAGE EXPERIENCE SHAPES PROCESSING OF PITCH RELEVANT INFORMATION IN THE HUMAN BRAINSTEM AND AUDITORY CORTEX: ELECTROPHYSIOLOGICAL EVIDENCE.
Venue: Acoustics Australia
Year: 2014

Pitch is a robust perceptual attribute that plays an important role in speech, language, and music. As such, it provides an analytic window to evaluate how neural activity relevant to pitch undergo transformation from early sensory to later cognitive stages of processing in a well coordinated hierarchical network that is subject to experience dependent plasticity. We review recent evidence of language experience dependent effects in pitch processing based on comparisons of native vs. nonnative speakers of a tonal language from electrophysiological recordings in the auditory brainstem and auditory cortex. We present evidence that shows enhanced representation of linguistically relevant pitch dimensions or features at both the brainstem and cortical levels with a stimulus dependent preferential activation of the right hemisphere in native speakers of a tone language. We argue that neural representation of pitch relevant information in the brainstem and early sensory level processing in the auditory cortex is shaped by the perceptual salience of domain specific features. While both stages of processing are shaped by language experience, neural representations are transformed and fundamentally different at each biological level of abstraction. The representation of pitch relevant information in the brainstem is more fine grained spectrotemporally as it reflects sustained neural phase locking to pitch relevant periodicities contained in the stimulus. In contrast, the cortical pitch relevant neural activity reflects primarily a series of transient temporal neural events synchronized to certain temporal attributes of the pitch contour. We argue that experience dependent enhancement of pitch representation for Chinese listeners most likely reflects an interaction between higher level cognitive processes and early sensory level processing to improve representations of behaviorally relevant features that contribute optimally to perception. It is our view that long term experience shapes this adaptive process wherein the top down connections provide selective gating of inputs to both cortical and subcortical structures to enhance neural responses to specific behaviorally relevant attributes of the stimulus. A theoretical framework for a neural network is proposed involving coordination between local, feedforward, and feedback components that can account for experience dependent enhancement of pitch representations at multiple levels of the auditory pathway. The ability to record brainstem and cortical pitch relevant responses concurrently may provide a new window to evaluate the online interplay between feedback, feedforward, and local intrinsic components in the hierarchical processing of pitch relevant information.
[End of Life Care in Intensive Care Units: Nursing strategies of family involvement at the end of life]
Venue: Pflege
Year: 2018

Family members of people dying in the intensive care unit (ICU) are exposed to many stress factors and they often do not experience involvement in End of Life (EoL) situations. For example, they criticize a low degree of participation in patients care, delayed or incomplete information and lack of privacy. Even nursing staff is facing various obstacles in EoL situations in ICUs.  This study investigates strategies used by ICU nursing staff in German speaking Switzerland to increase family members participation in situations at the end of life.  Data was collected by conducting 12 semi structured interviews using an approach based on Grounded Theory. A model was developed to explain nursing strategies for family involvement in EoL situations in the ICU.  Nurses provide personal space and tranquillity for family members and allow them to be present at any time. Against this background, they support family members and enable them to say goodbye consciously to a loved one. Subsequent work should examine the effectiveness of the strategies described, particularly in terms of stress reactions displayed by family members in the aftermath of EoL situations. In practice, family members should be provided space for privacy. The entire healthcare team is recommended to identify and pursue common values and objectives. Moreover, intradisciplinary exchange and mentoring need to be encouraged. In order to prepare future nursing staff for EoL situations in the ICU, recognizing and promoting their educational skills is mandatory.
M ay 2 01 9 EGGAN Cross Language Emotion Gain Synthesis based on Cycle Consistent Adversarial Networks
Year: 2019

Despite remarkable contributions from existing emotional speech synthesizers, we find that these methods are based on Text to Speech system or limited by aligned speech pairs, which suffered from pure emotion gain synthesis. Meanwhile, few studies have discussed the cross language generalization ability of above methods to cope with the task of emotional speech synthesis in various languages. We propose a cross language emotion gain synthesis method named EG GAN which can learn a language independent mapping from source emotion domain to target emotion domain in the absence of paired speech samples. EG GAN is based on cycleconsistent generation adversarial network with a gradient penalty and an auxiliary speaker discriminator. The domain adaptation is introduced to implement the rapid migrating and sharing of emotional gains among different languages. The experiment results show that our method can efficiently synthesize high quality emotional speech from any source speech for given emotion categories, without the limitation of language differences and aligned speech pairs.
Coffee and Chocolate Can We Help Developing Country Farmers Through Geographical Indications?
Year: 2010

Despite extensive provisions for their protection in the TRIPS Agreement, "geographical indications" (GIs) remain one of the least harmonized and most debated components of the international intellectual property system. Yet to date there has been little discussion as to how economic growth from GI based marketing occurs. This study explores the potential for GIs as a tool to promote developing country agriculture in two specific products: coffee and chocolate (cocoa) The study explores and refutes a conceptual error that strengthening GI law will, by itself, substantially help developing countries. This error mistakes the piling up of laws for the accumulation of reputational capital, the real way to help developing world agricultural products. Concerning the international debate about strengthening GI law that is, the "extension" of TRIPS Article 23 to protect all GI names without consumer confusion the study concludes that such "usurpation" protection generally will not help developing world agricultural products, although it could help coffee and cocoa producers better control the use of coffee names in "blends." Instead of advocating new legal norms, the study looks at the practical barriers to promotion of coffee and cocoa GIs and concludes that most developing countries which hope to promote their coffees and cocoas through GI based marketing will need to rely on large corporations to make the investment in building GI consumer awareness. This trend western companies using developing world GIs to differentiate their products is well underway and moving toward narrower and narrower geographic specifications. These narrower specifications are good for farmers and means that GI based marketing of coffee and cocoas may actually move closer to a true terroir theory without any changes in law. Eschewing any a priori role of the state or central government in GI systems, the study looks at the quality control and marketing experiences of Jamaica (Jamaica Blue Mountain Coffee) and Ethiopia (Harrar, Yirgacheffe, and Sidano) concluding that the weakness of public institutions in many developing countries and the history of central governments extracting rents from farmers should caution us against any GI laws that rely too heavily on government regulation. The study also seeks to debunk the more strident advocacy that GI protection is a good means to protect developing countries' "traditional knowledge" (TK) and "traditional cultural expressions" (TCE) The connection between legal protection of GIs and the protection of TK/TCE is complex and includes cases where extremely successful GIs actually are detrimental to local traditions.