nils-herrmann/clean_scirepeval huggingface dataset:
Neural Belief Propagation Decoding of CRC Polar Concatenated Codes
Venue: ICC 2019 2019 IEEE International Conference on Communications (ICC)
Year: 2019

Polar codes are the first class of error correcting codes that provably achieve the channel capacity at infinite code length. They were selected for use in the fifth generation of cellular mobile communications (5G) In practical scenarios such as 5G, a cyclic redundancy check (CRC) is concatenated with polar codes to improve their finite length performance. This is mostly beneficial for sequential successive cancellation list decoders. However, for parallel iterative belief propagation (BP) decoders, CRC is only used as an early stopping criterion with incremental error correction performance improvement. In this paper, we first propose a CRC polar BP (CPBP) decoder by exchanging the extrinsic information between the factor graph of the polar code and that of the CRC. We then propose a neural CPBP (NCPBP) algorithm which improves the CPBP decoder by introducing trainable normalizing weights on the concatenated factor graph. Our results on a 5G polar code of length 128 show that at the frame error rate of 10<sup> 5</sup> and with a maximum of 30 iterations, the error correction performance of CPBP and NCPBP are approximately 0.25 dB and 0.5 dB better than that of the conventional CRC aided BP decoder, respectively, while introducing almost no latency overhead.
Post Vaccination Yellow Fever Antiserum Reduces Zika Virus in Embryoid Bodies When Placental Cells are Present
Venue: Vaccines
Year: 2020

Zika virus (ZIKV) is a flavivirus that originated in Africa but emerged in Latin America in 2015. In this region, other flaviviruses such as Dengue (DENV) West Nile, and Yellow Fever virus (YFV) also circulate, allowing for possible antigenic cross reactivity to impact viral infections and immune responses. Studies have found antibody mediated enhancement between DENV and ZIKV, but the impact of YFV antibodies on ZIKV infection has not been fully explored. ZIKV infections cause congenital syndromes, such as microcephaly, necessitating further research into ZIKV vertical transmission through the placental barrier. Recent advancements in biomedical engineering have generated co culture methods that allow for the in vitro recapitulation of the maternal fetal interface. This study utilized a transwell assay, which was a co culture model utilizing human placental syncytiotrophoblasts, fetal umbilical cells, and a differentiating embryoid body, to replicate the maternal fetal axis. To determine if cross reactive YFV vaccine antibodies impacted the pathogenesis of ZIKV across the maternal fetal axis, syncytiotrophoblasts were inoculated with ZIKV or ZIKV incubated with YFV vaccine antisera, and the viral load was measured 72 h post inoculation. Here, we report that BeWo and HUVEC cells were permissive to ZIKV and that the impact of YFV post vaccination antibodies on ZIKV replication was cell line dependent. Embryoid bodies were also permissive to ZIKV, and the presence of YFV antibodies collected 4 14 months post vaccination reduced ZIKV infection when placental cells were present. However, when directly infected with ZIKV, the embryoid bodies displayed significantly increased viral loads in the presence of YFV antiserum taken 30 days post vaccination. The data show that each of the cell lines and EBs have a unique response to ZIKV complexed with post vaccination serum, suggesting there may be cell specific mechanisms that impact congenital ZIKV infections. Since ZIKV infections can cause severe congenital syndromes, it is crucial to understand any potential enhancement or protection offered from cross reactive, post vaccination antibodies.
Aspectos tecnicos y complicaciones en el tratamiento de las fracturas de los miembros inferiores con secuelas de poliomielitis
Year: 2018

Resumen Objetivo El paciente con secuelas de poliomielitis presenta con frecuencia huesos osteoporoticos, pequenos, deformados, con un canal intramedular estrecho, afectando todo esto al tratamiento quirurgico. El objetivo de este articulo es describir las principales complicaciones preoperatorias e intraoperatorias del tratamiento quirurgico de estas fracturas.  Los datos obtenidos de las historias clinicas incluyeron la edad del paciente, el patron de fractura (AO/OTA) el implante utilizado, los aspectos tecnicos de la cirugia que cambiaron en comparacion con un procedimiento estandar y la presencia de complicaciones intraoperatorias. Resultados En el estudio se incluyeron 64 pacientes con 78 fracturas. El 47% del total fueron fracturas de femur proximal. Las principales complicaciones de la artroplastia de cadera (14 pacientes) son la ausencia de abductores de cadera y la inestabilidad intraoperatoria (3) la mala fijacion del componente acetabular (3) y la fractura periprotesica intraoperatoria (2) Los principales problemas del enclavado son la dificultad debido a un canal medular demasiado estrecho y las deformidades previas. Los principales problemas de la osteosintesis con placas son la dificultad para ajustar las placas preconformadas y la sobredimension de las placas.  Dado el gran numero de complicaciones intraoperatorias, dentro de la planificacion preoperatoria debemos incluir clavos de pequeno diametro y longitud, placas bloqueadas y fijadores externos; y en el caso de realizar una artroplastia de cadera, vastagos largos y finos y sistemas acetabulares restrictivos o de doble movilidad.
Lacta Massage Using Fennel Essential Oil to Increase Prolactin Hormone Levels in Postpartum Mothers
Year: 2018

Breastmilk is the first food, the main and the best food for babies. About 30% of mothers experience breastfeeding problems in the first 2 weeks postpartum and lack of milk production is often used as a reason to cease breastfeeding. Lacta massage using fennel essential oil is one of the non pharmacological therapies that can be used as an alternative effort in stimulating the hormone prolactin to increase milk production.  True experiment with the pretest posttest design with control group design. A total of 34 respondents. Data analysis using Paired T Test, Wilcoxon and Mann Whitney.  There were significant differences between the intervention group and the control group with a value of 0.041. In the intervention group, there was an average increase in prolactin hormone levels of 93.12 ng/ml and in the control group of 7.6 ng/ml.  Lacta massage using fennel essential oil is effective for increasing prolactin hormone levels in postpartum mothers so that it can be used as an alternative effort to increasee breastmilk production.
Hormone Dependent and Experience Dependent Auditory Plasticity for Social Communication
Year: 2016

The auditory neural circuit is embedded in a physiological environment that can be influenced by hormones. Early work demonstrated that hormone mechanisms are highly responsive to social contexts. More recent work shows that hormones affect auditory processing across contexts, leading to adaptive responses to auditory cues, including those involved in social communication. This chapter addresses recent progress in studying these and related mechanisms among mammals in a maternal communication paradigm, wherein both reproductive hormones (e.g. estrogen, oxytocin) and social experience (infant mother interaction) shape auditory responses to infant sounds. By broadly reviewing studies ranging from hormones and behavior to sensory processing and plasticity, this chapter lays out a systematic approach to investigating how hormones may provide a mechanism for enhancing the perception and learning of auditory cues in reproductive and other social contexts. As discussed, reproductive related hormones may induce plasticity in central auditory circuitry to enable a sustained trace of infant vocalizations in the auditory cortex, allowing for better recognition and detection of infant cues and sustained maternal behavior.
mSR study of the onset of magnetic order in b Mn Ru alloys
Year: 2007

Muon spin relaxation has been used to study the transition from spin glass to long range antiferromagnetism in b Mn Ru alloys. Three alloy compositions were studied with 6% 9% and 19% Ru. The temperature dependence of the muon relaxation is consistent with spin glass order for the two lower concentrations, while for the 19% Ru alloy there are two peaks in the relaxation rate, one at the Neel temperature, T N =137 K, the other near 50 K. This suggests the coexistence of spin glass order and antiferromagnetism at this composition. These conclusions are supported by low field magnetization measurements.
Dicta Sign LSF v2: Remake of a Continuous French Sign Language Dialogue Corpus and a First Baseline for Automatic Sign Language Processing
Venue: LREC
Year: 2020

While the research in automatic Sign Language Processing (SLP) is growing, it has been almost exclusively focused on recognizing lexical signs, whether isolated or within continuous SL production. However, Sign Languages include many other gestural units like iconic structures, which need to be recognized in order to go towards a true SL understanding. In this paper, we propose a newer version of the publicly available SL corpus Dicta Sign, limited to its French Sign Language part. Involving 16 different signers, this dialogue corpus was produced with very few constraints on the style and content. It includes lexical and non lexical annotations over 11 hours of video recording, with 35000 manual units. With the aim of stimulating research in SL understanding, we also provide a baseline for the recognition of lexical signs and non lexical structures on this corpus. A very compact modeling of a signer is built and a Convolutional Recurrent Neural Network is trained and tested on Dicta Sign LSF v2, with state of the art results, including the ability to detect iconicity in SL production.
Endoscopic Sphenopalatine Artery Ligation: General Applicability in a Teaching Unit
Venue: Ear, nose, throat journal
Year: 2019

Endoscopic sphenopalatine artery ligation (ESPAL) is the intervention of choice for refractory epistaxis in specialist ear, nose and throat (ENT)units and should be within the repertoire of competencies for all ENT trainees. Following its recent incorporation within the United Kingdom competency based training syllabus as an explicit outcome standard, the ESPAL is not uncommonly being delivered by trainees under appropriate supervision. We assessed the efficacy and outcome of ESPAL in epistaxis management within our teaching hospitals.  Retrospective, structured review of all ESPAL procedures performed for epistaxis between December 2005 and December 2013. The techniques of ligation, operator grade, and outcome were studied.  Sixty five patients (41 male:24 female; average age of 58.2 years) were identified in whom 67 artery ligations were performed (63 unilateral; 2 bilateral) Overall, success rate of ESPAL was 92.3% (60/65) with 5 rebleed cases recorded within 30 days of the primary procedure. Sixteen (24.6% underwent "clipping," 26 (40.0% had diathermy ligation, 18 (27.7% had both clipping and diathermy, and in 5 (7.7% patients, the ligation technique was not recorded. In 31 (47.7% of 65 cases, a consultant was the principal surgeon. The remaining 34 (52.3% of 65 cases were performed by trainees with (24, 70.6% or without (10, 29.4% supervision. There was no correlation between rebleed and operators' grade, level of supervision, or ligation technique.  With appropriate training, ESPAL can achieve hemostasis in teams of varying grades of operators without significant reduction in outcome. To further enhance the technical learning curve, the utility of simulation based training could offer continuous and longitudinal development of skills.
Pengaruh orientasi kewirausahaan, teknologi informasi, perencanaan stratejik terhadap keunggulan bersaing dengan kinerja usaha sebagai variabel intervening (studi pada pengusaha mikro dan kecil industri pengolahan makanan di Sulawesi Utara)
Year: 2018

Penelitian ini bertujuan mengkaji pengaruh Orientasi Kewirausahaan, Teknologi Informasi, Perencanaan Stratejik, terhadap Kinerja Usaha dan Keunggulan Bersaing para pengusaha mikro dan kecil industri pengolahan makanan di Sulawesi Utara. Dalam hal eksistensi para pengusaha mikro dan kecil di daerah ini khususnya industri pengolahan makanan olahan yang diteliti, para pengusaha mikro dan kecil sangat diharapkan dapat membangun kemampuan mereka untuk lebih bersaing dan memberikan nilai mutu akan produk mereka. Logika model yang ingin dibangun pada penelitian ini mengacu pada bagaimana Orientasi Kewirausahaan terbentuk pada pengusaha mikro dan kecil industri pengolahan makanan. Adapun teori dasar yang digunakan adalah Teori Kewirausahaan Lumpkin and Dess (1996) Penambahan variabel Teknologi Informasi, juga Perencanaan Stratejik adalah untuk melihat perkembangan Kinerja Usaha dan Keunggulan Bersaing para responden yang diteliti. Populasi penelitian ini adalah industri pengolahan makanan di Sulawesi Utara. Respondennya adalah para pemilik yang mengelola langsung perusahaan tersebut, dengan ukuran sampel sebesar 132 responden. Pengumpulan data dilakukan dengan cara survei responden, dengan analisis data menggunakan SEM AMOS. Hasil penelitian menunjukkan bahwa Orientasi Kewirausahaan (X1) Teknologi Informasi (X2) Perencanaan Stratejik (X3) berpengaruh dengan arah positif terhadap Kinerja Usaha (Y1) dan Keunggulan Bersaing (Y2) para pengusaha mikro dan kecil industri pengolahan makanan. Penggunaan Teknologi Informasi di para pengusaha mikro dan kecil sudah menjadi faktor acuan dalam memasarkan produk mereka ke pasar online. Data pengaruh langsung variabel laten eksogen terhadap variabel laten endogen yaitu Perencanaan Stratejik (X3) sebesar 0,196 memberikan efek langsung terbesar pada Keunggulan Bersaing (Y2) sebesar 0,899. Selanjutnya Orientasi Kewirausahaan (X1) sebesar 0,391 terhadap Kinerja Usaha (Y1) Sedangkan data pengaruh tidak langsung, dimana Kinerja Usaha (Y1) memberikan efek tidak langsung terbesar pada Orientasi Kewirausahaan (X1) terhadap Keunggulan Bersaing (Y2) sebesar 0,113. Beberapa saran manajerial juga disampaikan terkait temuan hasil penelitian.
Applications of machine learning to machine fault diagnosis: A review and roadmap
Year: 2020

Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to machine fault diagnosis. This is a promising way to release the contribution from human labor and automatically recognize the health states of machines, thus it has attracted much attention in the last two or three decades. Although IFD has achieved a considerable number of successes, a review still leaves a blank space to systematically cover the development of IFD from the cradle to the bloom, and rarely provides potential guidelines for the future development. To bridge the gap, this article presents a review and roadmap to systematically cover the development of IFD following the progress of machine learning theories and offer a future perspective. In the past, traditional machine learning theories began to weak the contribution of human labor and brought the era of artificial intelligence to machine fault diagnosis. Over the recent years, the advent of deep learning theories has reformed IFD in further releasing the artificial assistance since the 2010s, which encourages to construct an end to end diagnosis procedure. It means to directly bridge the relationship between the increasingly grown monitoring data and the health states of machines. In the future, transfer learning theories attempt to use the diagnosis knowledge from one or multiple diagnosis tasks to other related ones, which prospectively overcomes the obstacles in applications of IFD to engineering scenarios. Finally, the roadmap of IFD is pictured to show potential research trends when combined with the challenges in this field.
An Adaptive Control Approach for Intelligent Wheelchair Based on BCI Combining with QoO
Venue: 2020 International Joint Conference on Neural Networks (IJCNN)
Year: 2020

In recent years, brain controlled intelligent wheelchairs have received extensive attention, which combines the accessibility of the Brain computer Interface (BCI) system with the intelligence of wheelchairs. However, current brain controlled wheelchairs are always operated in a fixed mode. The Electroencephalogram (EEG) signals with the fixed acquisition time are analyzed without considering the state of the user, which not only increases the risk of misoperation, but seriously reduces the information transfer rate of the system. To solve this problem, an adaptive control approach for intelligent wheelchair based on BCI combining with Quality of Operating (QoO) is proposed. Firstly, the influence of motor imagery signals with different time lengths in different states on classification accuracy was analyzed using tangent space Support Vector Machine (TSSVM) algorithm. Then, the definition of QoO was introduced, which was obtained by analyzing sample entropy and power spectral density (PSD) of four kinds of EEG activities, delta, theta, alpha and beta. Finally, the acquisition time of required EEG signals was adjusted according to the value of QoO. We constructed a brain controlled wheelchair system and conducted real environmental experiments for 9 subjects using strategies, with and without adaptive control approach. The results show that the approach proposed in this paper can reduce the risk of misoperation and increase the information transfer rate on the premise of ensuring the classification performance during navigation in complex indoor environment.
A NOVEL PASSIVE ENERGY DISSIPATION SYSTEM FOR FRAME CORE TUBE STRUCTURE
Year: 2009

The classical outrigger cantilevering from the core tube or shear wall connected to the perimeter columns directly, which can make the perimeter columns participate in the overall bending resistance. Therefore, the lateral stiffness of the structure will get improved. A new energy dissipation system for such structural system is studied, in which the outrigger and perimeter columns are separate, and vertical viscous dampers are equipped between the outrigger and perimeter columns to make full use of the relative big displacement of these two components. The effectiveness of proposed system is evaluated by means of the modal damping ratio based on the proposed simplified model. Controllable outrigger damping system based on MR dampers and real time hybrid simulation are undergoing.
Neonatal MRI to predict neurodevelopmental outcomes in preterm infants.
Venue: The New England journal of medicine
Year: 2006

Very preterm infants are at high risk for adverse neurodevelopmental outcomes. Magnetic resonance imaging (MRI) has been proposed as a means of predicting neurodevelopmental outcomes in this population.  We studied 167 very preterm infants (gestational age at birth, 30 weeks or less) to assess the associations between qualitatively defined white matter and gray matter abnormalities on MRI at term equivalent (gestational age of 40 weeks) and the risks of severe cognitive delay, severe psychomotor delay, cerebral palsy, and neurosensory (hearing or visual) impairment at 2 years of age (corrected for prematurity)  At two years of age, 17 percent of infants had severe cognitive delay, 10 percent had severe psychomotor delay, 10 percent had cerebral palsy, and 11 percent had neurosensory impairment. Moderate to severe cerebral white matter abnormalities present in 21 percent of infants at term equivalent were predictive of the following adverse outcomes at two years of age: cognitive delay (odds ratio, 3.6; 95 percent confidence interval, 1.5 to 8.7) motor delay (odds ratio, 10.3; 95 percent confidence interval, 3.5 to 30.8) cerebral palsy (odds ratio, 9.6; 95 percent confidence interval, 3.2 to 28.3) and neurosensory impairment (odds ratio, 4.2; 95 percent confidence interval, 1.6 to 11.3) Gray matter abnormalities (present in 49 percent of infants) were also associated, but less strongly, with cognitive delay, motor delay, and cerebral palsy. Moderate to severe white matter abnormalities on MRI were significant predictors of severe motor delay and cerebral palsy after adjustment for other measures during the neonatal period, including findings on cranial ultrasonography.  Abnormal findings on MRI at term equivalent in very preterm infants strongly predict adverse neurodevelopmental outcomes at two years of age. These findings suggest a role for MRI at term equivalent in risk stratification for these infants.
Design of Digital Electronic Scales Based on Single Chip Microcomputer
Year: 2015

This paper designed a microcontroller based intelligent digital electronics scale. Using AT89C52 microprocessor core for system control,and through using the weight acquisition module,signal conversion module,data processing module and display module and a series of signal acquisition and processing circuit to present weight information to the user. It provides boot intelligent calibration,automatic overweight alerts,and also a complete user function,and the system performance is stable,reliable,low cost and has friendly man machine interface and low power consumption,and can be widely applied to modern business in the market.
Investigation of mach 10 boundary layer stability of sharp cones at angle of attack, part 1: Experiments
Year: 2015

The boundary layer transition and stability characteristics of sharp cones at angle of attack are investigated with measurements at Mach 10 in the Arnold Engineering Development Complex (AEDC) Hypervelocity Wind Tunnel 9 on a 1.5 m long, 7 deg cone at unit Reynolds numbers between 1.8 and 15 million per meter. The transition location is determined with coaxial thermocouples and temperature sensitive paint, and stability measurements are obtained using high frequency response pressure sensors. The measurements are used to validate the STABL 3D linear stability theory (LST) code at angles of attack up to 6 deg. The computations are found to reproduce the experimental trends regarding the effect of angle of attack on the growth of 2 mode waves. The amplitude of the 2 mode waves near breakdown on the leeward and windward meridians scale linearly with edge Mach number. The initial amplitudes estimated using linear stability computations are found to scale with Pitot noise in the unstable 2 mode frequency band. Linear stability computations along with the ability to correlate initial 2 mode amplitudes to tunnel noise and to correlate maximum 2 mode amplitudes to edge Mach number enables the use of Mack's amplitude method to predict 2 mode transition. This methodology is investigated to accurately predict sharp cone boundary layer transition at 0 deg AoA. Extension to sharp cones at angle of attack is expected to be straightforward.