nils-herrmann/clean_scirepeval huggingface dataset:
Future health of AYA survivors
Venue: Pediatric blood cancer
Year: 2019

Adolescent and young adult (AYA) oncology patients (ages 15 39) have been identified as a group with healthcare disparities including gaps and challenges in diagnosis, access to care, research, clinical trial participation, and cure rates. Like other patient groups with cancer or other chronic illnesses, disparities can lead to poor future health and outcomes, which is a well recognized concern within the AYA population. Cancer is the leading disease related cause of death in this age range. Numerous interested groups including the National Cancer Institute have met to address the research and cancer care needs of AYAs. This review highlights how these gaps in care during and after treatment can affect future health of this population of patients. Access to care, models of survivorship care, and lack of provider education are discussed. Survivorship care and use of guidelines, and promotion of psychosocial support and health behaviors during treatment and beyond are essential to optimizing future health of AYA patients.
Modular On Road AGV Wireless Charging Systems Via Interoperable Power Adjustment
Venue: IEEE Transactions on Industrial Electronics
Year: 2019

This paper proposes a modular on road wireless power transfer system with interoperable power adjustment mechanism. The paper is anticipated to enhance the capability of on road charging during the movement of automated guided vehicles (AGV) by which the traveling mileage is increased, while the battery volume is decreased. The system design includes an interoperable power adjustment technique based on the detected impedance, and the moving position of AGV can be, hence, comprehended so as to facilitate the adjustment of the output power from each transmission module in a more flexible way. Through the investigation of on road charging efficiency, all of coil magnetic analysis, misalignment charging evaluation, system stress simulation, and resonant characteristics investigation are performed. Experimental results gained from software simulation and hardware realization are beneficial for AGV charging applications.
The Cinematic Corpse: Natural History, Catastrophe and Biopolitics
Year: 2017

Trauma theory has influenced a substantial amount of film criticism over the past two decades, particularly related to the representation of the Holocaust. This paper turns to Benjamin's conception of natural history as an alternative philosophical frame for understanding film and catastrophe. Trauma theory extends biological conceptions of wounding to include psychological disorders and cultural identifications, thereby participating in a biopolitical understanding of collective life. Benjamin's idea of natural history brushes biopolitics against the grain, re mobilizing images of death and destruction in ways that confound the hierarchies that organize social and species life. Benjamin did not live to witness the revelations of the camps, which required the news media to break the taboos previously placed on images of death and decomposition. The "Nazi Concentration Camps" film, shown at the Nuremberg Trials and in other public exhibitions, included images of bodies, alive and dead, that seemed to no longer be human. These newsreel images quickly disappeared from public circulation but new images of the corpse began to appear in post war cinema. Rossellini's Voyage in Italy (1954) included a sequence filmed in the ruins of Pompeii, in which the heroine confronts a disinterred corpse, petrified by the lava flow from Mt Vesuvius. A year later Resnais included sequences from the documentaries of the camps in Night and Fog (1955) In this juxtaposition of a corpse preserved by natural catastrophe and the burned and twisted bodies in the Nazi camps, we can see the dead assume a new significance: petrified in the space between nature and history, the image of the corpse confounds the racial hierarchies that decreed the Jews were "subhuman." Instead the dead, preserved in cinematic images, provoke our astonishment as enigmatic signifiers of a new post natural temporality, also refusing easy assimilation into narratives of collective identity or conceptions of citizenship.
GAMBARAN MANAJEMEN STRES PADA LANSIA YANG MENGALAMI HIPERTENSI DI UNIT PELAKSANA TEKNIS DINAS (UPTD) RUMOH SEUJAHTRA GEUNASEH SAYANG BANDA ACEH TAHUN 2014
Year: 2014

ABSTRAK Manajemen stres merupakan serangkaian strategi yang dapat membantu seseorang untuk memodifikasi berbagai perilaku yang berisiko terhadap kesehatan sehingga dapat memperbaiki kualitas hidup. Semakin meningkatnya kasus hipertensi terutama pada lansia dapat menimbulkan beberapa macam komplikasi yang akhirnya berdampak pada stres berkepanjangan, maka dibutuhkan manajemen stres yang baik untuk lansia. Tujuan penelitian ini untuk mengetahui gambaran manajemen stres pada lansia yang mengalami hipertensi di Unit Pelaksana Teknis Dinas (UPTD) Rumoh Seujahtra Geunaseh Sayang Banda Aceh 2014. Metode penelitian menggunakan deskriptif. Populasi dalam penelitian ini berjumlah 39 orang. Teknik pengambilan sampel menggunakan total sampling yaitu semua populasi dijadikan sampel yang berjumlah 39 orang. Alat pengumpulan data berupa kuesioner yang terdiri dari 25 item pernyataan berbentuk skala likert. Pengumpulan data dilakukan dengan cara wawancara terpimpin. Data dianalisa dengan sistem komputerisasi dengan menentukan distribusi frekuensi. Hasil analisa data didapat bahwa manajemen stres pada lansia yang mengalami hipertensi berada pada kategori baik (53,8% dimana manajemen stres di tinjau dari aspek mencari dukungan sosial berada pada kategori baik (56,4% melakukan aktivitas fisik berada pada kategori baik (59,0% menggunakan teknik relaksasi berada pada kategori baik (53,8% melakukan praktik spiritual berada pada kategori baik (64,1% dan humor berada pada kategori baik (56,4% Diharapkan kepada petugas UPTD untuk dapat membantu mempertahankan pelaksanaan senam lansia terutama pada lansia yang mengalami hipertensi. Kata Kunci Manajemen Stres, Lansia, Hipertensi Daftar bacaan 31 buku 4 jurnal 5 Sumber online (2001 2013)
Improving performance of dictionary learning via auxiliary training samples and robust dictionary
Year: 2020

A key to dictionary learning is to attain a robust dictionary, which enables difference between test samples and training samples of the same class to be alleviated. Owing to this factor, the dictionary can bring proper representations of test samples and produce better classification results for them. For face recognition, because of varying facial appearance caused by changeable illuminations, poses and facial expressions, a robust dictionary is definitely preferred. In this paper, we propose a robust dictionary learning method for face recognition. Robustness is attained in a two fold way. First, auxiliary faces are produced via original face images. Second, the scheme to attain the dictionary under the condition that label coefficients can deviate from sample coefficients is designed. Auxiliary faces express possible variations of faces. Moreover, it seems that difference between auxiliary faces and original training samples of the same class somewhat reflects difference between test samples and training samples, thus use of auxiliary faces is beneficial to improve robustness of the method. The scheme to attain the dictionary further enhances robustness.
A review on the benchmarking concept in Malaysian construction safety performance
Year: 2018

Construction industry is one of the major industries that propels Malaysia's economy in highly contributes to our nation's GDP growth, yet the high fatality rates on construction sites have caused concern among safety practitioners and the stakeholders. Hence, there is a need of benchmarking in performance of Malaysia's construction industry especially in terms of safety. This concept can create a fertile ground for ideas, but only in a receptive environment, organization that share good practices and compare their safety performance against other benefit most to establish improvement in safety culture. This research was conducted to study the awareness important, evaluate current practice and improvement, and also identify the constraint in implement of benchmarking on safety performance in our industry. Additionally, interviews with construction professionals were come out with different views on this concept. Comparison has been done to show the different understanding of benchmarking approach and how
Proses penyambungan (welding) cerobong pada industri manufaktur menengah kebawah memiliki kesulitan karena banyaknya variasi ukuran dari cerobong. Target waktu penyelesaian sulit dicapai karena keterbatasan alat bantu (Fixture) yang dimilikinya. Maka dari itu, perlu dirancang alat bantu yang dapat m
Year: 2015

Welding process of chimney on medium size manufacturing industries encounters some problems because of the large variations in the size of the chimney. Target of completion time is difficult to achieve due to tool (Fixture) limitation. Therefore, it is necessary to design a tool that can reduce the obstacles at an affordable cost. The design of this tool is done through the application of the VDI 2222 method with the help of CAD CAM technology. Several alternative designs have been produced through the design process. Selected design was modeled and validated using Solidworks software. Some of the parameters that affect the function of the fixture includes deflection, torsional load and center of gravity. The results of the analysis of deflection at maximum load is 2.406 mm, while the twisting loads that occur is 119 N or approximately equivalent to 12 kg of weight received by the operator. Center of gravity of the fixture is 1,492.3 mm from the rear wheels with 1,600 mm wheels distance, so it is safe from the possibility of tumbling. Apart from the aspect of construction, speed is the other important factor affecting the production process. Based on the results from the comparisons with an existing tool used in one company in Bandung, the estimated of the new design has a 269 minute faster for 4 chimney welding process with 1,500 mm long with a diameter of 900 mm. Based on the construction and analysis study, it can be concluded that the welding fixture can be used for connecting the chimney, especially small and medium sized manufacturing companies.
Ten Principles to Guide the Trump Administration's Manufacturing Strategy
Year: 2017

If one thing should be clear in the wake of the election, it is that President Trump is serious about growing U.S. manufacturing. But while he has dominated the economic news with his comments warning companies about offshoring jobs and his involvement in the deal that led Carrier to retain about 800 manufacturing jobs that were previously headed to Mexico, his words and actions have largely elicited derision from economic commentators and analysts. Their dismissive responses have ranged from "this is totally trivial" to "it will never work," "picking winners only reduces economic welfare," and "we shouldn't care about manufacturing, anyway." Emblematic of this widespread pundit opinion that the president's pronouncements have been nonsense, or worse, business school professor Stephen Kobrin writes, "What happens when people realize they've been taken?"1 In other words, the consensus among elites is that the president is pulling a fast one on ignorant and gullible voters.
Performance assessment of coupled green grey blue systems for Sponge City construction.
Venue: The Science of the total environment
Year: 2020

In recent years, Sponge City has gained significant interests as a way of urban water management. The kernel of Sponge City is to develop a coupled green grey blue system which consists of green infrastructure at the source, grey infrastructure (i.e. drainage system) at the midway and receiving water bodies as the blue part at the terminal. However, the current approaches for assessing the performance of Sponge City construction are confined to green grey systems and do not adequately reflect the effectiveness in runoff reduction and the impacts on receiving water bodies. This paper proposes an integrated assessment framework of coupled green grey blue systems on compliance of water quantity and quality control targets in Sponge City construction. Rainfall runoff and river system models are coupled to provide quantitative simulation evaluations of a number of indicators of land based and river quality. A multi criteria decision making method, i.e. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is adopted to rank design alternatives and identify the optimal alternative for Sponge City construction. The effectiveness of this framework is demonstrated in a typical plain river network area of Suzhou, China. The results demonstrate that the performance of Sponge City strategies increases with large scale deployment under smaller rainfall events. In addition, though surface runoff has a dilution effect on the river water quality, the control of surface pollutants can play a significant role in the river water quality improvement. This framework can be applied to Sponge City projects to achieve the enhancement of urban water management.
Unsupervised adaptation with domain separation networks for robust speech recognition
Venue: 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
Year: 2017

Unsupervised domain adaptation of speech signal aims at adapting a well trained source domain acoustic model to the unlabeled data from target domain. This can be achieved by adversarial training of deep neural network (DNN) acoustic models to learn an intermediate deep representation that is both senone discriminative and domain invariant. Specifically, the DNN is trained to jointly optimize the primary task of senone classification and the secondary task of domain classification with adversarial objective functions. In this work, instead of only focusing on learning a domain invariant feature (i.e. the shared component between domains) we also characterize the difference between the source and target domain distributions by explicitly modeling the private component of each domain through a private component extractor DNN. The private component is trained to be orthogonal with the shared component and thus implicitly increases the degree of domain invariance of the shared component. A reconstructor DNN is used to reconstruct the original speech feature from the private and shared components as a regularization. This domain separation framework is applied to the unsupervised environment adaptation task and achieved 11.08% relative WER reduction from the gradient reversal layer training, a representative adversarial training method, for automatic speech recognition on CHiME 3 dataset.
Adolescent Pregnancy Complicated by Thrombosis
Year: 2020

Adolescent pregnancy is a significant global health concern, with more than 21 million girls aged 15 19 and two million under age 15 becoming pregnant each year in developing countries. Pregnancy occurs in approximately 13% of the US adolescent population and 25% of the world adolescent population. The physical effects of pregnancy on adolescents are significant. Pregnancy and complications related to childbirth are the leading cause of death for adolescent girls aged 15 19 worldwide. Adolescents with preexisting hematologic disorders of thrombosis or coagulation, like their adult counterparts, are at increased risk of adverse maternal and fetal outcome during pregnancy and in the postpartum period. In this chapter, we review physiology of thrombosis in pregnancy and clinical considerations for diagnosis and management of pregnant adolescents with hematologic disorders.
Public Health Planning and Citizen Engagement: Exploring the Need and the Sustainability of an Open Source Platform for Dengue Prevention in Sri Lanka
Year: 2019

The rise of Information Communication Technology (ICT) has offered the world a new and efficient mechanism to increase active citizen engagement. Growth in open source technology has widened the space for engaging a vast number of citizens limitless of geographical and hierarchical boundaries via crowdsourcing real time data. Even though there is a boom in using ICTs in connecting and sharing knowledge and information among different stakeholders, still, there is a considerable gap in using open source technology in combating public health issues around the world. As a country with a high internet usage rate, Sri Lanka still shows underutilization of such technologies in monitoring and preventing non communicable diseases. Dengue is a serious health threat in Sri Lanka which shows the need for active surveillance in prevention. The main objective of the paper is to seek the potential possibility of using the Internet of Things (IoT) in preventing dengue outbreak in Sri Lanka. Also, it aims to identify the opportunities for using a mobile application and even tries to address the usability issues that could arise when introducing and retaining a mobile application. By doing that, this paper will contribute to filling the gap in research on functionality and usability issues and also introduces a user friendly open source application to prevent dengue outbreak in Sri Lanka. The proposed development of the mobile platform for dengue prevention has considered the economic and social understanding of people as rational thinkers and collective actors and also has used the user friendly guidelines of mobile application development.
An Introduction to the Bootstrap
Year: 2007

15 Empirical Bayes Method, 2nd edition J.S. Maritz and T. Lwin (1989) Symmetric Multivariate and Related Distributions K. T. Fang, S. Kotz and K. Ng (1989) Ieneralized Linear Models, 2nd edition P. McCullagh and J.A. Neider (1989) 38 Cyclic Designs J.A. John (1987) 39 Analog Estimation Methods  (1988) 40 Subset Selection in Regression A.J. Miller (1990) 41 Analysis of Repeated Measures M. Crowder and D .J. Hand (1990) 42 Statistical Reasoning with Imprecise Probabilities P. Walley (1990) ~3 Generalized Additive Models T.J. Hastie and R.J. Tibshirani (1990) lnspection Errors for Attributes in Quality Control N.L. Johnson, S. Kotz and x. Wu (1991) *5 The Analysis of Contingency Tables, 2nd edition B.S. Everitt (1992) 46 The Analysis of Quantal Response Data B.f.T. Morgan (1992) 47 Longitudinal Data with Serial Correlation: A State Space Approach R.H. Jones (1993) Differential Geometry and Statistics M.K. Murray and f. W. Rice (1993) 49 Markov Models and Optimization M.H.A. Davies (1993) 50 Chaos and Networks: Statistical and Probabilistic Aspects Edited by O. Barndorff Nielsen et al. (1993) Number Theoretic Methods in Statistics K. T. Fang and W. Yuan (1993) 2 Inference and Asymptotics O. Barndorff Nielsen and D.R. Cox (1993) ;3 Practical Risk Theory for Actuaries C.D. Daykin, T. Pentikainen and M. Pesonen (1993) 54 Statistical Concepts and Applications in Medicine f. Aitchison and I.f. Lauder (1994) 55 Predictive Inference S. Geisser (1993) 56 Model Free Curve Estimation M. Tarter and M. Lock (1993) 57 An Introduction to the Bootstrap B. Efron and R Tibshirani (1993) (Full details concerning this series are available from the Publishers. An Introduction to the Bootstrap
Isolation based conditional anomaly detection on mixed attribute data to uncover workers' compensation fraud
Venue: Decis. Support Syst.
Year: 2018

The development of new data analytical methods remains a crucial factor in the combat against insurance fraud. Methods rooted in the research field of anomaly detection are considered as promising candidates for this purpose. Commonly, a fraud data set contains both numeric and nominal attributes, where, due to the ease of expressiveness, the latter often encodes valuable expert knowledge. For this reason, an anomaly detection method should be able to handle a mixture of different data types, returning an anomaly score meaningful in the context of the business application. We propose the i Forest CAD approach that computes conditional anomaly scores, useful for fraud detection. More specifically, anomaly detection is performed conditionally on well defined data partitions that are created on the basis of selected numeric attributes and distinct combinations of values of selected nominal attributes. In this way, the resulting anomaly scores are computed with respect to a reference group of interest, thus representing a meaningful score for domain experts. Given that anomaly detection is performed conditionally, this approach allows detecting anomalies that would otherwise remain undiscovered in unconditional anomaly detection. Moreover, we present a case study in which we demonstrate the usefulness of our proposed approach on real world workers' compensation claims received from a large European insurance organization. As a result, the i Forest CAD approach is greatly accepted by domain experts for its effective detection of fraudulent claims.
Is U.S. Economic Growth Over? Faltering Innovation Confronts the Six Headwinds
Year: 2012

This paper raises basic questions about the process of economic growth. It questions the assumption, nearly universal since Solow's seminal contributions of the 1950s, that economic growth is a continuous process that will persist forever. There was virtually no growth before 1750, and thus there is no guarantee that growth will continue indefinitely. Rather, the paper suggests that the rapid progress made over the past 250 years could well turn out to be a unique episode in human history. The paper is only about the United States and views the future from 2007 while pretending that the financial crisis did not happen. Its point of departure is growth in per capita real GDP in the frontier country since 1300, the U.K. until 1906 and the U.S. afterwards. Growth in this frontier gradually accelerated after 1750, reached a peak in the middle of the 20th century, and has been slowing down since. The paper is about "how much further could the frontier growth rate decline?" The analysis links periods of slow and rapid growth to the timing of the three industrial revolutions (IR's) that is, IR #1 (steam, railroads) from 1750 to 1830; IR #2 (electricity, internal combustion engine, running water, indoor toilets, communications, entertainment, chemicals, petroleum) from 1870 to 1900; and IR #3 (computers, the web, mobile phones) from 1960 to present. It provides evidence that IR #2 was more important than the others and was largely responsible for 80 years of relatively rapid productivity growth between 1890 and 1972. Once the spin off inventions from IR #2 (airplanes, air conditioning, interstate highways) had run their course, productivity growth during 1972 96 was much slower than before. In contrast, IR #3 created only a short lived growth revival between 1996 and 2004. Many of the original and spin off inventions of IR #2 could happen only once urbanization, transportation speed, the freedom of females from the drudgery of carrying tons of water per year, and the role of central heating and air conditioning in achieving a year round constant temperature. Even if innovation were to continue into the future at the rate of the two decades before 2007, the U.S. faces six headwinds that are in the process of dragging long term growth to half or less of the 1.9 percent annual rate experienced between 1860 and 2007. These include demography, education, inequality, globalization, energy/environment, and the overhang of consumer and government debt. A provocative "exercise in subtraction" suggests that future growth in consumption per capita for the bottom 99 percent of the income distribution could fall below 0.5 percent per year for an extended period of decades.