nils-herrmann/clean_scirepeval huggingface dataset:
Global Research Alliance N2 O chamber methodology guidelines: Statistical considerations, emission factor calculation, and data reporting.
Venue: Journal of environmental quality
Year: 2020

Static chambers are often used for measuring nitrous oxide (N2 O) fluxes from soils, but statistical analysis of chamber data is challenged by the inherently heterogeneous nature of N2 O fluxes. Because N2 O chamber measurements are commonly used to assess N2 O mitigation strategies or to determine country specific emission factors (EFs) for calculating national greenhouse gas inventories, it is important that statistical analysis of the data is sound and that EFs are robustly estimated. This paper is one of a series of articles that provide guidance on different aspects of N2 O chamber methodologies. Here, we discuss the challenges associated with statistical analysis of heterogeneous data, by summarizing statistical approaches used in recent publications and providing guidance on assessing normality and options for transforming data that follow a non normal distribution. We also recommend minimum requirements for reporting of experimental and metadata of N2 O studies to ensure that the robustness of the results can be reliably evaluated. This includes detailed information on the experimental site, methodology and measurement procedures, gas analysis, data and statistical analyses, and approaches to generate EFs, as well as results of ancillary measurements. The reliability, robustness, and comparability of soil N2 O emissions data will be improved through (a) application, and reporting, of more rigorous methodological standards by researchers and (b) greater vigilance by reviewers and scientific editors to ensure that all necessary information is reported in scientific publications.
Suicidality and hospitalisation in patients with borderline personality disorder who experience auditory verbal hallucinations
Venue: European Psychiatry
Year: 2017

In patients with borderline personality disorder (BPD) about 22 50% experience auditory verbal hallucinations (AVH) However, the impact of these hallucinations on suicidal ideation, suicide attempts, crisis service interventions, and hospital admissions is unknown.  In a cross sectional design, data were collected with the Psychotic Symptom Rating Scales (PSYRATS) and the MINI International Neuropsychiatric Interview Plus, as well as from the medical records of a convenience sample of outpatients fulfilling the DSM IV criteria for BPD.  Of the 89 included patients, 27 experienced AVH. In the latter group, the presence of AVH was associated with a significantly higher incidence of suicidal plans and attempts in the month prior to study participation, more hospitalisations, and a shorter interval until hospitalisation. All subscales of the PSYRATS correlated positively with suicide plans, while the phenomenological and emotional subscales also correlated positively with suicide attempts. Moreover, higher scores on the emotional subscale were associated with more hospital admissions.  AVH experienced by patients with BPD might constitute a risk factor for suicide plans and attempts, and hospitalisation. This finding emphasises that this population requires adequate clinical attention, as well as effective treatment for AVH.
Contraintes pragmatiques de completude et linguistique des contributions en theorie du texte et de l'organisation textuelle elaboration d'une heuristique appliquee au roman de formation
Year: 2011

Notre these a pour ambition de faire emerger un niveau linguistique superieur a la phrase et dont la prise encompte est indispensable a toute caracterisation et comprehension de ce qu'est un texte. A ce titre, lapragmatique, comme science du dire, est sans doute la plus a meme de fournir une caracterisationsatisfaisante de ce niveau. Dans sa conception griceenne, elle a mis en avant un principe de cooperation etl'existence de maximes conversationnelles, sans approfondir, ni meme discuter, le niveau auquel ce principeet ces maximes seraient attaches, celui la meme de contribution, alors que c'est precisement cette notion ciqui, a priori, et quand on considere la maxime de quantite, est de fait un ensemble de phrases (ou memed'enonces) ensemble qui certes peut a l'occasion se reduire a un(e) seul(e) enonce (phrase) mais qui, dansla plupart des cas, definit un niveau langagier intermediaire entre l'enonce et la totalite de ce qui est dit dansl'echange.La these montre alors principalement que ces contributions sont des ensembles de phrases satisfaisant descontraintes pragmatiques, avec, entre autres, une contrainte de completude forte, issue de la maxime dequantite, que l'on pose comme heuristique. De fait, les textes sont des contributions (plus precisement desmacro contributions constituees de micro contributions) et doivent etre decrits comme tels. L'etudeempirique, appliquee au roman de formation, de la pertinence textuelle, de l'integration textuelle et de ladisposition textuelle met a jour un certain nombre de phenomenes qui caracterisent le texte en tant que tel.
Treatment of the Temporomandibular Joint in a Child with Juvenile Idiopathic Arthritis.
Venue: Oral and maxillofacial surgery clinics of North America
Year: 2018

The oral and maxillofacial surgeon is instrumental in the management and care of pediatric patients with juvenile idiopathic arthritis (JIA) and should include JIA in the differential when evaluating pediatric patients with temporomandibular joint (TMJ) dysfunction. Medical management has largely decreased the need for surgical intervention, but these patients may require intraarticular steroid injections of the TMJ, close follow up to monitor their facial growth, and management of the subsequent postinflammatory degenerative TMJ changes. This article reviews the oral and maxillofacial surgeon's role in the care of patients with JIA involvement in the TMJ.
A sandwich type ELISA for the detection of Listeria monocytogenes using the well oriented single chain Fv antibody fragment
Year: 2017

Listeria monocytogenes (LM) poses a serious threat to public health. The present study details the development of a sandwich type enzyme linked immunosorbent assay (S ELISA) for the detection of LM using well oriented single chain Fv antibody fragment (scFv) and a polyclonal antibody. The anti LM scFv, used as capture antibody, was gene optimized and expressed with a C terminal PS tag in Escherichia coli BL21(DE3) for oriented immobilization on hydrophilic polystyrene microtiter plates. The anti LM rabbit polyclonal antibody, used as the detection antibody, was prepared using heat killed LM cells as an immunogen. The developed S ELISA showed great specificity to LM and had a detection limit of lg 6.5 CFU/mL, which was better than the control S ELISA using non oriented scFv as the capture antibody. When the S ELISA was applied to pork and pasteurized milk samples spiked with LM, strong responses were observed. In conclusion, the developed S ELISA shows great potential for the rapid detection of LM.
Energy Efficient Target Tracking in Sensor Networks
Venue: ADHOCNETS
Year: 2010

In this paper, the problem of collaborative tracking of mobile nodes in wireless sensor networks is addressed. Aiming at an energy efficient solution, we propose a strategy of combining target tracking with node selection procedures in order to select informative sensors to minimize the energy consumption of the tracking task using the energy model by Heinzelman, 2000. We layout a cluster based architecture to address the limitations in computational, battery power and communications of the sensor devices. The node selection problem is formulated as a cross layer optimization problem that is solved using a greedy algorithm. To track mobile nodes two particle filters are used: the bootstrap particle filter and the unscented particle filter, both in the centralized and in the distributed manner. Their performance are compared with the distributed sigma point information filter in literature, under two common channel models: the log normal shadowing and the Rayleigh fading.
Influence of particle shape on microstructure and heat transfer characteristics in blast furnace raceway with CFD DEM approach
Year: 2020

Coupled computational fluid dynamics and discrete element method (CFD DEM) simulations are conducted to investigate the influence of particle shape on microstructure and heat transfer characteristics in a blast furnace (BF) raceway. Spherical and non spherical particles including tetrahedron like and octahedron like shapes are involved in this work. The applicability of the coupled approach and the accuracy of combined sphere method (CSM) to investigate the kinetic and thermodynamic behaviors are validated firstly based on the experimental results. Then, the influences of particle shape on raceway formation, microstructure, and particle temperature evolution are comprehensively explored. The numerical results show that the tetrahedron like particle system presents a relatively stronger interlocking efficiency and thus leads to a smaller raceway size. Additionally, the non uniform performance of temperature in this system is more striking than the other two cases. However, the bigger raceway size exists in the octahedron like particle system and the average particle temperature is also higher than other cases; meanwhile, this system possesses more powerful rotational kinetic energy but lower drag force required to form and maintain the raceway than tetrahedron like system under the same inlet velocity. These findings could be beneficial for the in depth understanding of microstructure and heat transfer characteristics within a BF raceway.
Constructivism and Educational Technologies: Building Knowledge through Engagement
Year: 2015

This paper discusses the relationship between the constructivist learning theory and the integration of educational technologies in the classroom. In constructivism, new knowledge is built through personal experience and the teacher is only one of many resources students should have access to; families, schools, communities, and other learners each play a role in the construction of new knowledge. The initial question raised is whether or not technology fits in well with constructivism, as the theory was developed decades before today's digital technologies were available. The articles cited describe the benefits of integrating technology into constructivist classrooms and positively answer the initial question. Examples of this beneficial relationship are included from peer reviewed research, as well as an example from the author's own personal experience. Constructivism takes the focus off the teacher and fosters Student Centered Learning Environments (SCLEs) The importance of basing technology integration upon foundational educational philosophies is stressed. The results of integrating educational technologies purposefully and thoughtfully into constructivist classrooms are engaged learners who build knowledge personally and retain it.  Building Knowledge through Engagement The constructivist learning theory was developed decades ago and it is still commonly used today. Belief that knowledge is built through exploratory experiences is a key foundation of constructivism. Educational technologies have been increasing in popularity and use, with new technologies being made available on a very frequent basis. Would a learning theory like constructivism, which did not have recent digital technologies available as it was being defined years ago, lend itself to technology integration in today's educational settings? Would the integration of educational technologies compromise the theory, or would they enhance the implementation of the theory in the classroom? This paper examines the belief that educational technologies fit well within the constructivist learning theory and help make the conscientious and responsible use of the theory even more effective in the classroom, resulting in engaged learners.
SkeletonFusion: Reconstruction and tracking of human body in real time
Year: 2018

This paper presents a new pipeline for capturing the performance of the human body with two depth cameras in real time. Our online approach reconstructs not only the movement of the skeleton, but also the dense nonrigid 3D surface. The key to our algorithm is a coarse to fine strategy: large scale deformations or rapid movements are captured by the skeleton pose tracker, with which the dense volumetric 6D motion field can be estimated robustly for dense geometry reconstruction. Shown in various sequences, our approach was able to accurately capture the 3D motion of the human body and produce increasingly denoised, detailed, and complete geometric reconstructions.
NLANGP at SemEval 2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features
Venue: *SEMEVAL
Year: 2016

This paper describes our system submitted to Aspect Based Sentiment Analysis Task 5 of SemEval 2016. Our system consists of two components: binary classifiers trained using single layer feedforward network for aspect category classification (Slot 1) and sequential labeling classifiers for opinion target extraction (Slot 2) Besides extracting a variety of lexicon features, syntactic features, and cluster features, we explore the use of deep learning systems to provide additional neural network features. Our system achieves the best performances on the English datasets, ranking 1st for four evaluations (Slot 1 for both restaurant and laptop domains, Slot 2, and Slot 1 2)
Reconfigurable band notched small square slot antenna with enhanced bandwidth for octave band, multiresonance applications
Year: 2014

In this article, a novel multiresonance small square slot antenna with reconfigurable band notch performance, for octave band multiresonance applications is proposed. The proposed antenna consists of a modified radiating stub and a ground plane with two rectangular slots with protruded T shaped strips inside the slots which provides a wide usable fractional bandwidth of more than 165% (2.49 24.53 GHz) By cutting two modified rectangular slots with protruded T shaped strips with variable dimensions on the corners of ground plane, additional resonances are excited, and hence, much wider impedance bandwidth can be produced, especially at the middle and higher band. Furthermore, to achieve a reconfigurable function, a pin diode is utilized across the T ring slot. When this pin diode is biased forwardly the band notched resonance is excited. Unlike other antennas reported in the literature to date, the proposed antenna displays a good omnidirectional radiation pattern even at higher frequencies. The designed antenna has a small size of 20 x 20 mm Simulated and experimental results obtained for this antenna show that it exhibits good radiation behavior within the UWB frequency range.
A heuristic approach for scheduling patient treatment in an emergency department based on bed blocking
Year: 2020

Maximising the patient flows throughout the emergency care patient pathway is one of the most important objectives in the healthcare system. The emergency department (ED) is the critical point of this pathway in most hospitals, as the potential delays reduce the number of patients seen in the recommended time. One of the key delays in the ED is the waiting time of a patient prior to treatment, which can be reduced by optimising the patient treatment schedules with priorities. In this paper, a novel blocking patient flow (BPF) algorithm is developed and tested using the real data from a hospital in Brisbane, Australia. Initially, a simulation model of real life ED operations is developed by characterising patient interarrival and treatment times according to different disease categories. Subsequently, a BPF heuristic algorithm is designed and benchmarked via computational experiments using two dominance rules: first come first served (FCFS) and shortest processing time (SPT) The computational results show that the proposed approach leads to a reduction of the total waiting time by more than 8 in comparison to the current hospital practice, which implies that more patients will be served in a specified time window.
Advanced Digital Signal Processing for Reach Extension and Performance Enhancement of 112 Gbps and Beyond Direct Detected DML Based Transmission
Venue: Journal of Lightwave Technology
Year: 2019

112 Gbps per wavelength, amplification free Four level Pulse Amplitude Modulation (PAM 4) transmissions are experimentally demonstrated with advanced digital signal processing (DSP) algorithms. Two DSP architectures are investigated for Directly Modulated Lasers (DMLs) 1) the regular DSP with Feed Forward Equalization (FFE) and Decision Feedback Equalization (DFE) and 2) the enhanced DSP with Maximum Likelihood Sequence Estimation (MLSE) equalizer. The experimental results show that with advanced DSP technologies the conventional DML can achieve 40 km transmissions with Bit Error Rate (BER) under 2.4 x 10 4 that meets RS (544, 514) Forward Error Correction (FEC) requirement; with regular DSP the advanced DML can achieve 40 km transmissions with BER under 3.8 x 10 3, with stronger FEC. 112 Gbps and beyond per lambda DML based transmission is a promising low power, low cost solution for 800 GbE or 1.6 TbE Ethernet.
High Resolution Nerve Ultrasound Abnormalities in POEMS Syndrome A Comparative Study
Venue: Diagnostics
Year: 2021

High resolution nerve ultrasound (HRUS) has been proven to be a valuable tool in the diagnosis of immune mediated neuropathies, such as chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) POEMS syndrome (polyneuropathy, organomegaly, endocrinopathy, M protein, skin changes) is an important differential diagnosis of CIDP. Until now, there have been no studies that could identify specific HRUS abnormalities in POEMS syndrome patients. Thus, the aim of this study was to assess possible changes and compare findings with CIDP patients.  We retrospectively analyzed HRUS findings in three POEMS syndrome and ten CIDP patients by evaluating cross sectional nerve area (CSA) echogenicity and additionally calculating ultrasound pattern scores (UPSA, UPSB, UPSC and UPSS) and homogeneity scores (HS)  CIDP patients showed greater CSA enlargement and higher UPSS (median 14 vs. 11) UPSA (median 11.5 vs. 8) and HS (median 5 vs. 3) compared with POEMS syndrome patients. However, every POEMS syndrome patient illustrated enlarged nerves exceeding reference values, which were not restricted to entrapment sites. In CIDP and POEMS syndrome, heterogeneous enlargement patterns could be identified, such as inhomogeneous, homogeneous and regional nerve enlargement. HRUS in CIDP patients visualized both increased and decreased echointensity, while POEMS syndrome patients pictured hypoechoic nerves with hyperechoic intraneural connective tissue.  This is the first study to demonstrate HRUS abnormalities in POEMS syndrome outside of common entrapment sites. Although nerve enlargement was more prominent in CIDP, POEMS syndrome patients revealed distinct echogenicity patterns, which might aid in its differentiation from CIDP. Future studies should consider HRUS and its possible role in determining diagnosis, prognosis and treatment response in POEMS syndrome.
Self regulation of the use of digital resources in an online language learning course improves learning outcomes
Year: 2018

This study investigated how community college students in an online introductory level language course self regulated their learning while using digital learning resources. An analysis of reflective journals revealed that learners reported engaging with resources in ways consistent with the six dimensions of self regulated learning. Only learners who demonstrated higher levels of oral proficiency reported monitoring performance. There were also differences in use of time and methods of learning used by learners at different performance levels. All participants struggled to remain motivated throughout the course. These findings offer evidence that providing scaffolding for monitoring performance, methods of learning, use of time, and motivation may be helpful to online language learners.
PermA and Balloon: Tools for string alignment and text processing
Venue: INTERSPEECH
Year: 2012

Two online research tools are presented in this paper: PermA, a general purpose string aligner which can for example be used for grapheme to phoneme and phoneme to phoneme alignment, and Balloon, a text processing toolkit for German and English providing components for part of speech tagging, morphological analyses, and grapheme to phoneme conversion including syllabifica tion and word stress assignment. The general architectures of these tools are introduced with a focus on recent improvements concerning the alignment cost function derivation and word stress assignment.
Impact Of Artificial Intelligence In Making Better Marketing Decisions In Healthcare Industries
Year: 2020

In recent times, Artificial Intelligence (AI) took a flight making enormous changes in the technological industries. From booking cabs online to ordering of medicines and other daily necessities, people are now more accustomed to artificial intelligence every now and then without even realising it. Google Assistant, Apple Siri, Microsoft Cortana and Amazon Alexa are few of the AI Assistants which has proved its importance in the recent commercial world. These AI's interfaces have become so popular that companies are now planning to establish their own AI system to support them into taking better business strategies and decision making. The main aim of this research is to show that Artificial Intelligence has a greater prospect in making better marketing decisions for the multinational giants from the view point of the healthcare industries. Through this research work, an effort has been made to show how Artificial Intelligence is (and will) change decision making for business with greater importance on the healthcare industries. The data used for the research work is secondary in nature. Various research articles have shown that the use of AI
MORAL PAJAK SEBUAH OPSI PENINGKATAN KEPATUHAN WAJIB PAJAK DAN DAMPAKNYA TERHADAP EFEKTIVITAS PENERIMAAN PAJAK PENGHASILAN ORANG PRIBADI PADA KANTOR PELAYANAN PAJAK PRATAMA "X" DI JAWA BARAT
Year: 2019

Dilakukannya penelitian ini dengan maksud dan tujuan untuk melihat seberapa besar pengaruh moral pajak terhadap efektivitas penerimaan pajak penghasilan orang pribadi melalui kepatuhan wajib pajak. Penelitian ini bermanfaat khususnya untuk penulis agar dapat menambah wawasan serta ilmu pengetahuan, memberi masukan yang bermanfaat bagi kantor pelayanan pajak pratama X di jawa barat mengenai moral pajak, kepatuhan wajib pajak serta efektivitas penerimaan pajak penghasilan orang pribadi, serta manfaat lain dapat menjadi referensi dan bahan kajian lebih lanjut untuk peneliti selanjutnya. Metode penelitian yang digunakan yaitu metode path analysis, dengan menggunakan teknik pengumpulan data yaitu dengan cara penyebaran kuesioner kepada seluruh pegawai pajak kantor pajak X yang berjumlah 70 responden. Hasil dengan metode path analysis yang di bantu dengan SPSS 16 memperlihatkan hasil moral pajak berpengaruh terhadap kepatuhan wajib pajak orang pribadi sebesar 27,2% Moral pajak dan kepatuhan wajib pajak berpengaruh terhadap efektivitas penerimaan pajak penghasilan orang pribadi sebesar 54,1% Secara langsung moral pajak memberi pengaruh sebesar 43,1% dan secara tidak langsung memberi pengaruh sebesar 21,5% terhadap efektivitas penerimaan pajak penghasilan orang pribadi melalui kepatuhan wajib pajak.