nils-herrmann/clean_scirepeval huggingface dataset:
Screening for COVID 19 in Older Adults: Pulse Oximeter vs. Temperature
Venue: Frontiers in Medicine
Year: 2021

Public health screening for COVID 19 and its mutations are becoming a routine activity, as we assess the safety of resuming interactions with each another. Control efforts have included social distancing, hygiene, masks, and lockdowns. Where available, testing can confirm exposure to COVID 19. Prior to testing, screening is conducted, typically consisting of assessing one's temperature and asking questions related to symptoms and exposures. However, the efficacy of symptom based screening (temperature and self report) for COVID 19 has been called into question in recent studies for both the general population and healthcare workers (1, 2) Older adults are another population in which symptom based screening for COVID 19 should be questioned. As the pandemic unfolded, older adults have been hardest hit. The statistics are staggering, with older adults making up 45 80% of all hospitalizations, 53% of intensive care admissions, and 80% of deaths (3, 4) However, the media's tone has been that this was not alarming but expected due to age and comorbidities. This paper offers suggestions to mitigate these statistics.
Pengawasan Ombudsman Republik Indonesia Perwakilan Jawa TengahTerkait Maladministrasi Pelayanan Publik. Studi Kasus: PenyelenggaraanProgram Nasional Agraria (Prona) di Kabupaten Kudus Tahun 2017
Year: 2019

Program pendaftaran tanah sistematis lengkap melalui Prona menawarkan kepada masyarakat untuk membuat sertifikat tanah dengan biaya yang murah. Akan tetapi, dalam pelaksanaannya banyak ditemui permasalahan dan penyimpangan, terutama pemungutan biaya ke masyarakat yang tinggi. Pada tahun 2017, Kabupaten Kudus menjadi salah satu kota yang memiliki kuota sertifikat Prona terbesar dan sering terjadi banyak permasalahan dalam penyelenggaraan Prona. Ombudsman Republik Indonesia hadir sebagai lembaga yang berfungsi untuk mengawasi pelayanan publik. Ombudsman Republik Indonesia Perwakilan Jawa Tengah sebagai perwakilan Ombudsman pusat melakukan pengawasan dan berupaya untuk menyelesaikan permasalahan yang terjadi dalam penyelenggaraan Prona di Kabupaten Kudus. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan studi kasus. Tujuan dari penggunaan metode tersebut adalah untuk menggali data dan informasi dengan akurat dan spesifik, supaya data dan informasi yang dihasilkan lengkap dan mendalam. Teknik pengumpulan data yang digunakan adalah wawancara dengan delapan informan, kajian pustaka dan telaah dokumen yang berkaitan dengan pengawasan Ombudsman Republik Indonesia. Hasil dari penelitian ini menunjukkan bahwa pengawasan yang dilakukan Ombudsman Republik Indonesia Perwakilan Jawa Tengah dalam mengawasi Prona di Kabupaten Kudus sudah sesuai dengan fungsi, tugas, dan wewenangnya. Pengawasan yang dilakukan oleh Ombudsman Republik Indonesia Perwakilan Jawa Tengah adalah melakukan investigasi inisiatif sendiri, melakukan pengawasan preventif dan melakukan kerjasama dengan aparat hukum lainnya. Ombudsman Republik Indonesia Perwakilan Jawa Tengah berupaya untuk menyelesaikan permasalahan Prona yang dilaporkan masyarakat dan Ombudsman Republik Indonesia Perwakilan Jawa Tengah juga mengirimkan saran perbaikan kepada instansi yang terlibat untuk mencegah permasalahan terulang kembali. Hal yang kurang dalam pengawasan tersebut adalah Ombudsman Republik Indonesia Perwakilan Jawa Tengah kurang melibatkan masyarakat dalam melakukan pengawasan Prona di Kabupaten Kudus.
An unsually large ULVZ at the base of the mantle near Hawaii
Year: 2012

Previous studies have documented the presence of ultra low velocity zones (ULVZs) at the base of the mantle, through observations of body wave complexities. Geometrically their heights are in the range of 5 30 km while little is known about their lateral extent beyond about 102 km, due to limitations in sampling. Here we show remarkable features in the waveforms of S/Sdiff phases of western Pacific events observed at stations in North America that indicate the presence of a very large ultra low velocity zone (ULVZ) at the base of the mantle, centered 11 deg to the southwest of Hawaii, within and near the northern border of the Pacific LLSVP. Waveform complexities include strongly delayed 30 s postcursors. Measurements of travel times, beamforming analysis of out of plane energy, and full waveform comparisons with 3D numerical simulations, constrain the location, lateral extent, height and velocity reduction of the ULVZ with some level of trade off. The simplified 3D model consists of a cylindrical ULVZ with a large aspect ratio of 20 km in height and 910 km in diameter at the CMB. The shear wave velocity reduction is 20 This is to our knowledge the largest ULVZ mapped to date and the first time the lateral extent of a ULVZ has been constrained with some precision. Its location suggests that it may be the root of a long lived, stable plume responsible for the Hawaiian volcanic chain, the hotspot track with the largest buoyancy flux.
An Evolution of Innovations Protocols and Recent Technology in Industrial IoT
Year: 2019

Industrial Internet of Things (IIoT) forms an interconnection between machines and functions with an internet connectivity. These IIoT devices enhance manufacturing or industrial process as they are interconnected with each other to perform industrial applications using intelligent industrial operations with advanced data analytics techniques. By using IIoT, the industries can be able to use real time supply chain methods for tracking status of materials, equipments, and products as they move out to consumers. This may interrelate the consumers, suppliers, and manufactures to get updated information about the product status in applications such as ERP, PLM, and other software systems. As we move from manpower to digital technology, IoT revolutionized the digital industry in the fields of agriculture, city infrastructure, medical care, and healthcare. However, IIoT has brought a next big boom in the business market with smart industrial technologies. At present, the industries leverage the benefits of IIoT in water industry for smart water management by enabling smart water meters, detectors, and irrigation methods. In case of oil and gas industries, IIoT devices help to reduce instant leakages and in case of any unavoidable situation alert systems are also used to maintain security for the employees. As an exponential growth, IIoTs witnessed in auto industry with some boarding impacts such as product tracing, transportation management, enhanced routes, and motorist behavior. The IIoT systems are used in integrated smart transportation system for following up the real time activities of the driver as well as the vehicle and notifying drivers regarding potential dangers on the roads. Even though healthcare is a vast ecosystem, the IoT has been adopted rapidly in healthcare monitoring, pharmaceutical industry, smart beds, biosensors, and other remote monitoring systems. In this, new digital transformation of industries to IIoT which uses secure operating protocols for an Open Platform Communication infrastructure. It uses IoT protocols for enhanced remote asset monitoring with increased operational efficiency and asset performance. IIoT uses a bunch of protocols chosen depending on the application or the so called Use Case. The most commonly used protocols are MQTT, CoAP, and HTTP. To cope with the disruptive technologies, business has embraced IIoT for significant improvements in terms of safety, efficiency, sensors, network, and data transmission. Thus, this chapter describes the protocols, new innovations, and present technologies used in industry.
Change leadership in the 21st century
Year: 2018

The purpose of this paper is to examine the field of change leadership at the beginning of the twenty first century.,The meta framework presented in this study is a review of the field of change leadership over a 16 year period. The authors reviewed hundreds of peer reviewed refereed journal articles and books.,The authors identify the key themes in the study of change leadership through the lens of content and process frames of reference.,The authors identify how these new perspectives of change leadership change the way we think about/approach the field of change leadership.
Ankle Joint Self Mobilization and CrossFit Training in Patients With Chronic Ankle Instability: A Randomized Controlled Trial.
Venue: Journal of athletic training
Year: 2020

Ankle joint mobilization and neuromuscular and strength training have been deemed beneficial in the management of patients with chronic ankle instability (CAI) CrossFit training is a sport modality that involves these techniques.  To determine and compare the influence of adding self mobilization of the ankle joint to CrossFit training versus CrossFit alone or no intervention in patients with CAI.  Randomized controlled clinical trial.  Research laboratory.  Seventy recreational athletes with CAI were randomly allocated to either self mobilization plus CrossFit training, CrossFit training alone, or a control group.  Participants in the self mobilization plus CrossFit group and the CrossFit training alone group pursued a CrossFit training program twice a week for 12 weeks. The self mobilization plus CrossFit group performed an ankle self mobilization protocol before their CrossFit training, and the control group received no intervention.  Ankle dorsiflexion range of motion (DFROM) subjective feeling of instability, and dynamic postural control were assessed via the weight bearing lunge test, Cumberland Ankle Instability Tool, and Star Excursion Balance Test (SEBT) respectively.  After 12 weeks of the intervention, both the self mobilization plus CrossFit and CrossFit training alone groups improved compared with the control group (P .001) The self mobilization plus CrossFit intervention was superior to the CrossFit training alone intervention regarding ankle DFROM as well as the posterolateral and posteromedial reach distances of SEBT but not for the anterior reach distance of SEBT or the Cumberland Ankle Instability Tool.  Ankle joint self mobilization and CrossFit training were effective in improving ankle DFROM, dynamic postural control, and self reported instability in patients with CAI.
Influence of Music Training on the Plasticity of the Brain
Year: 2018

This article explores the brain plasticity of musicians caused by music training based on resting state functional magnetic resonance imaging technology and brain network analysis. The results of this study show that the local functional connection of brain areas involved in the Salience network of musicians is increased, and the integration of functions within the network is enhanced, which indicates that the Salience network may be a key target of music training, and also supports the fact that the enhancement of the internal functional integration within the Salience network may lay the common foundation for many outstanding high level cognitive processes of musicians. In addition, the increase in functional connection between the musician's left insula and right anterior temporal parietal junction may be caused by long term music training. This study further verifies the significant effect of long term music training on resting brain function, which is of great significance for cognitive neuroscience, brain plasticity research and clinical music therapy.
Egalitarianism, the teachings of fieldwork and anarchist calisthenics
Year: 2013

Iames C. Scott is Sterling Professor of Political Science and Anthropology at Yale Univer sity where he directs the Program in Agrarian Studies. Author of foundational books on the fields of Agrarian studies and Social Movements (but with a wider resonance in other rains of social sciences) namely The Moral Economy of the Peasant: Rebellion and Subsistence in Southeast Asia (1977) Weapons of the Weak: Everyday Forms of Peasant Resistance (1985) and Domination and the Arts of Resistance: Hidden Transcripts (1990) Scott recently published The Art ofNot Being Governed: An Anarchist History of Upland Southeast Asia (2009) His work has been a major source of inspiration for the four of us and we therefore invited him to visit Portugal in order to discuss some of the key elements of his research. The following conversation took place in Lisbon, April 2012, and gathered many students and researchers from both Portugal and Spain. The conversation was first directed by our own ques tions and we then opened the floor for discussion, taking some questions from the audience. The subjects discussed ranged from Scott's participation in the Perestroika Movement in Poli tical Science to his critique of the State and the concept of high modernism (see Seeing like a State EIow Certain Schemes to Improve the Human Condition Have Failed, Scott's 1998 book) The conversation also included his perspectives on resistance and their relation to contributions made by authors such as E.P. Thompson, Michel Foucault, and Pierre Clastres, among others. Finally, we also discussed the possibility of an "anarchist turn" in social sciences and came to know Scott's law of anarchist calisthenics, and some hints about his new book, Two Cheersfor Anarchism: Six Easy Pieces on Autonomy, Dignity, and Meaningful Work and Play (2012).1
Identification of research hypotheses and new knowledge from scientific literature
Venue: BMC Medical Informatics and Decision Making
Year: 2018

BackgroundText mining (TM) methods have been used extensively to extract relations and events from the literature. In addition, TM techniques have been used to extract various types or dimensions of interpretative information, known as Meta Knowledge (MK) from the context of relations and events, e.g. negation, speculation, certainty and knowledge type. However, most existing methods have focussed on the extraction of individual dimensions of MK, without investigating how they can be combined to obtain even richer contextual information. In this paper, we describe a novel, supervised method to extract new MK dimensions that encode Research Hypotheses (an author's intended knowledge gain) and New Knowledge (an author's findings) The method incorporates various features, including a combination of simple MK dimensions.MethodsWe identify previously explored dimensions and then use a random forest to combine these with linguistic features into a classification model. To facilitate evaluation of the model, we have enriched two existing corpora annotated with relations and events, i.e. a subset of the GENIA MK corpus and the EU ADR corpus, by adding attributes to encode whether each relation or event corresponds to Research Hypothesis or New Knowledge. In the GENIA MK corpus, these new attributes complement simpler MK dimensions that had previously been annotated.ResultsWe show that our approach is able to assign different types of MK dimensions to relations and events with a high degree of accuracy. Firstly, our method is able to improve upon the previously reported state of the art performance for an existing dimension, i.e. Knowledge Type. Secondly, we also demonstrate high F1 score in predicting the new dimensions of Research Hypothesis (GENIA: 0.914, EU ADR 0.802) and New Knowledge (GENIA: 0.829, EU ADR 0.836).ConclusionWe have presented a novel approach for predicting New Knowledge and Research Hypothesis, which combines simple MK dimensions to achieve high F1 scores. The extraction of such information is valuable for a number of practical TM applications.
Generalized Variational Continual Learning
Venue: ICLR
Year: 2021

Continual learning deals with training models on new tasks and datasets in an online fashion. One strand of research has used probabilistic regularization for continual learning, with two of the main approaches in this vein being Online Elastic Weight Consolidation (Online EWC) and Variational Continual Learning (VCL) VCL employs variational inference, which in other settings has been improved empirically by applying likelihood tempering. We show that applying this modification to VCL recovers Online EWC as a limiting case, allowing for interpolation between the two approaches. We term the general algorithm Generalized VCL (GVCL) In order to mitigate the observed overpruning effect of VI, we take inspiration from a common multi task architecture, neural networks with task specific FiLM layers, and find that this addition leads to significant performance gains, specifically for variational methods. In the small data regime, GVCL strongly outperforms existing baselines. In larger datasets, GVCL with FiLM layers outperforms or is competitive with existing baselines in terms of accuracy, whilst also providing significantly better calibration.
Robust Speech Filter and Voice Encoder Parameter Estimation Using the Phase Phase Correlator
Venue: IEEE/ACM Transactions on Audio, Speech, and Language Processing
Year: 2020

In recent years, linear prediction voice encoders have become very efficient in terms of computing execution time and channel bandwidth usage while providing, in the absence of impulsive noise, natural sounding synthetic speech signals. This good performance has been achieved via the use of a maximum likelihood parameter estimation of an auto regressive model of order ten that best fits the speech signal under the assumption that the signal and the noise are Gaussian stochastic processes. However, this method breaks down in the presence of impulse noise, which is common in practice, resulting in harsh or non intelligible audio signals. In this paper, we propose a robust estimator of correlation, the Phase Phase correlator that is able to cope with impulsive noise. Utilizing this correlator, we develop a Robust Mixed Excitation Linear Prediction encoder that provides improved audio quality for voiced, unvoiced, and transition speech segments. This is achieved by applying a statistical test to robust Mahalanobis distances for identifying the outliers in the corrupted speech signal, which are then replaced with filtered signals. Simulation results reveal that the proposed estimator of correlator outperforms in variance, bias, and breakdown point compared to three other robust approaches based on the arcsin law, the polarity coincidence correlator, and the median of ratio estimator without sacrificing the encoder bandwidth efficiency and the compression gain while remaining compatible with real time applications. Furthermore, in the presence of impulsive noise, the proposed speech encoder speech subjective quality outperforms the state of the art in terms of mean opinion score.
Vertical Ridge Augmentation with Mandibular Ramus Block Bone for Implant Surgery
Year: 2021

Copyright (c) 2021. The Korean Academy of Oral Maxillofacial Implantology  When the amount of alveolar bone is insufficient, installing implants of appropriate length becomes difficult. To solve this problem, guided bone regeneration, ridge splitting, alveolar bone distraction osteogenesis, and autogenous onlay block bone graft are used. With these methods, the foundation for implantation is properly formed. The purpose of this study was to establish implants using autogenous block bone grafts taken from the same site in the vertically atrophied mandibular alveolar bone. Block bones were harvested from the same sites, and the surgical site was reduced to one place, which reduced post operation complications leading to rapid healing. Compared to guided bone regeneration, the block bone graft is well maintained so that implant surgery can be performed adequately. It can be applied in various situations and cases because it is selected depending on the amount of bone required for grafting.
Copyright and Collective Authorship
Year: 2014

Many scholars have suggested that current copyright law is ill equipped to the challenges of determining the authorship of collaborative work. This thesis analyses four case studies of large scale collaboration (Wikipedia, Indigenous art, scientific collaborations and film) in order to consider how best to determine the authorship of the creative works that they produce for the purposes of copyright law. Current scholarship and much of the case law has tended to favour a restrictive approach to the grant of joint authorship status, in order to minimise the number of potential authors of a work. This is motivated by instrumental/pragmatic concerns related to the ease of exploiting a copyright work. As joint authors are often joint first owners of copyright, proponents of this approach fear that a minor contributor might cause hold up problems by refusing to consent to licence or assign their copyright interest. This thesis argues that an instrumental/pragmatic approach to the application of the joint authorship test is undesirable, because it distances the test both from the creativity reality of collective authorship and from copyright's notion of the author. In addition, the instrumental/pragmatic approach relies upon assumptions about creators, the creative process and the exploitation of creative works which are not borne out in the case studies. Building on the insights from the four case studies, the thesis argues that the best approach to applying the joint authorship test to works of collective authorship is one that is inclusive (of all those who have made a more than de minimis contribution of creative choices to the protected expression) and contextual (in that it takes the context of creativity into account) In coming to this conclusion the thesis also offers broader lessons about the nature of authorship and the ongoing relevance of copyright law standards for the regulation of collaborative creativity.
LP Efektivitas Pembelajaran Bagi Siswa Sekolah Menengah Atas Dengan Metode Inquiry Dan Rekayasa Perangkat Lunak "MOLEARN"
Year: 2018

Tujuan jangka panjang dari penelitian ini adalah peningkatan mutu pembelajaran dan menciptakan pembiasaan menggunakan teknologi informasi bagi generasi muda secara positif sehingga mampu meningkatkan daya saing bangsa melalui peningkatan mutu sumber daya manusia. Setelah tahun pertama, yaitu pembuatan aplikasi MoLearn yang berbasis Web dan Android dapat terlaksana dengan baik, maka tujuan berikutnya dari penelitian ini akan dicapai melalui 2 tahap, yaitu tahun kedua membuat model pembelajaran beserta bahan belajar mata pelajaran di SMA. Bahan belajar ini dengan metode Inquiry yang terintegrasi penuh dengan dukungan Teknologi Informasi, dan dengan berdasar teori di bidang teknologi pendidikan. Bahan belajar yang sudah ada kemudian diunggah ke aplikasi MoLearn yang telah dihasilkan di tahun pertama penelitian. Sedang di tahun ketiga adalah untuk mengimplementasikan, dan kemudian mengevaluasi efektivitas dan kemenarikan pembelajaran melalui metode Inquiry berbasis perangkat lunak Molearn di SMA. Target khusus dalam penelitian ini ialah peningkatan hasil belajar dan pemahaman siswa SMA melalui metode Inquiry dan penggunaan aplikasi Molearn, hingga melatih pembiasaan positif dalam penggunaan teknologi informasi serta dapat meningkatkan daya saing bangsa. Pada tahun ke dua penelitian ini, sebagian besar kegiatan adalah pelatihan pembuatan bahan ajar kepada guru yang tergabung dalam MGMP di provinsi Jawa Timur. Pelatihan dimulai kepada team inti, hingga menghasilkan e book Biologi untuk kelas XII semester 1. Setelah buku tercetak dan mendapatkan sertifikat HAKI, maka diadakan pelatihan kepada 50 guru MGMP Biologi Provinsi Jawa Timur. Pelatihan mulai materi Smartphone Videography, Konsep Pembelajaran abad 21, konsep Revolusi Industri 4.0 dan Pembuatan e book. Sampai laporan ini dibuat, telah dihasilkan 1 buku modul Pembuatan Konten Buku Digital, 1 e book Biologi A Plus untuk SMA kelas XII semester 1 dan telah mendapatkan sertifikat HAKI, sebagai luaran utama, telah terkirim pula 2 paper untuk seminar international dan 1 artikel ke Jurnal Cakrawala Pendidikan sebagai luaran tambahan. Tahun ketiga dari penelitian ini merencanakan untuk mengukur kelayakan (valid, praktis dan efektif) dari model pembelajaran berbasis Inquiry dengan menggunakan aplikasi pembelajaran MoLearn di 4 sekolah, dengan masingmasing 2 kelas untuk mata pelajaran Biologi dan 2 kelas untuk mata pelajaran Geografi.