nils-herrmann/clean_scirepeval huggingface dataset:
Gait in thoracolumbar/lumbar adolescent idiopathic scoliosis: effect of surgery on gait mechanisms
Venue: European Spine Journal
Year: 2010

For patients whose scoliosis progresses, surgery remains the ultimate way to correct and stabilise the deformity while maintaining as many mobile spinal segments as possible. In thoracolumbar/lumbar adolescent idiopathic scoliosis (AIS) the spinal fusion has to be extended to the lumbar spine. The use of anterior spinal fusion (ASF) instead of the classic posterior fusion (PSF) may preserve more distal spinal levels in attempt to limit the consequences of surgery on trunk mobility. The effects of surgery on body shape, pain and the decompensation phenomenon have all been well evaluated. Very few studies have addressed the effect of ASF or PSF on basic activities, such as walking. Before any treatment, AIS patients already have reduced pelvis, hip and shoulder motion when walking at a normal speed compared with adolescents without scoliosis (control group) Additionally, they have longer contraction time of the lumbar and pelvic muscles leading to an excessive energy cost and reduced muscle efficiency. In addition, if these changes are associated with spinal stiffness, spinal fusion could further negatively affect this pre surgical inefficient walk. The goals of this study were (a) to compare pre and 1 year post surgery conditions in order to assess the effects of spinal arthrodesis on gait parameters and (b) to compare the anterior versus the posterior surgical approaches. Nineteen young females with thoracolumbar/lumbar AIS were assessed by radiological and clinical examination and by conventional gait analysis before surgery and at almost 12 months after surgery. Seven subjects underwent surgery using ASF and 12 using PSF. Three dimensional gait analysis was performed on a motor driven treadmill at spontaneous self selected speed to record kinematic, electromyographic (EMG) mechanical and energetic measurements synchronously. Although it was expected that the instrumentation would modify the characteristics of normal walking, this study showed that surgery does not induce asymmetric gait or any significant differences between the ASP and the PSF surgery groups. One year after surgery, the changes observed consisted of improvements in the gait and mechanical parameters. In the PSF group, 11 14 vertebrae were fused while only 3 4 were fused in the ASF group. In both AIS groups, step length was increased by 4% and cadence reduced by 2% There was a slight increase in pelvis and hip frontal motion. Only the transverse shoulder motion was mildly decreased by 1.5deg. All the other gait parameters were left unchanged or were improved by surgery. Notably, the EMG timing activity did not change. The total muscular mechanical work (Wtot) increased by 6% mainly due to the external work (Wext) i.e. the work performed by the body muscles to move the body in its surroundings. The energy cost, although showing a tendency towards a reduction, remained globally excessive, probably due to the excessive co contraction of the lumbo pelvic muscles.
Vient de paraitre deux articles sur les libellules de l'Ain
Year: 2010

Martinia, revue de la Societe francaise d'Odonatologie vient de publier les bulletins 1 2 de 2010 (Tome 26, fasc. 1/2) Vous y trouverez sous une nouvelle maquette, plus attrayante, un article concernant les libellules du departement de l'Ain et un autre concernant le Doubs. Sommaire de Martinia 26 1/2 KRIEG JACQUIER, Regis et LATHUILLIERE, Marjorie 2010. Cordulegaster bidentata Selys, 1843 dans le departement de l'Ain etat des connaissances en 2009 (Odonata, Anisoptera, Cordulegastridae)
Usulan Perbaikan Sistem Persediaan dan Tata Letak Gudang di PT. GG Nasional Indonesia
Year: 2017

PT. GG Nasional Indonesia merupakan perusahaan manufaktur yang memproduksi alat alat rumah tangga. Permasalahan yang ada adalah pada gudang bahan baku, penempatan barang barang yang tidak teratur, jumlah stok tidak dapat dihitung, dan barang banyak yang rusak karena sistem penyimpanan barang yang hanya ditumpuk begitu saja. Prosedur yang dilakukan adalah perhitungan perkiraan permintaan tahun 2009, perhitungan lot pemesanan yang ekonomis dengan menggunakan metode EOQ untuk Joint Order, penentuan profil aktivitas barang, perhitungan dimensi wadah penyimpanan, perhitungan jumlah wadah penyimpanan, penentuan sistem penyimpanan bahan baku, perhitungan dimensi rak, penentuan posisi rak, perhitungan space, dan pembuatan denah gudang. Pengaturan tata letak didasarkan popularitas, volume perpindahan, dan kesamaan (similarity) Ukuran performansi yang digunakan adalah rasio pemakaian luas gudang, cube utilization, accessibility, jarak penyimpanan bahan baku dari pintu dibandingkan dengan frekuensi pengambilan. Tata letak usulan akan lebih baik, jika dilihat dari ukuran ukuran performansinya, yaitu peningkatan rasio pemakaian gudang sebesar 20,830% dari tata letak awal, pemakaian luas gudang yang efisien berdasarkan cube utilization yang tinggi, accessibility yang baik, dan jarak yang ditempuh untuk pengambilan bahan baku yang berfrekuensi pengambilan tinggi lebih dekat dibandingkan dengan tata letak awal.
Monte Carlo simulation of magnetic properties of AA and AB stacked nano graphene bilayer within Ising like model
Venue: International Conference on Correlation Optics
Year: 2020

Magnetic properties of AA and AB stacked bilayers were investigated by means of Monte Carlo technique based on Metropolis algorithm within Ising like model. A higher values of blocking temperature for AB stacked bilayer was obtained, which indicates that AB nano graphene bilayer is more energetically beneficial compared to AA stacked. Transition between ferromagnetic and paramagnetic phases of the considered types of bilayers, was established. This makes such nanosystems promising in sensor applications (magnetic field sensors) and spintronics. Hysteresis near absolute zero temperature for ferromagnetic case was obtained, the existence of which strongly depends on the values of exchange interaction and temperature. Obtained results of computer simulation agree with theoretical and experimental ones of other authors.
G402 The impact of a standardised transcranial doppler training programme in screening children with sickle cell disease: a european multi centre perspective
Venue: Archives of Disease in Childhood
Year: 2015

Routine use of Transcranial Doppler (TCD) screening is standard management for the prevention of Stroke in children with Sickle Cell Disease (SCD) However, due to a number of factors including the lack of adequately trained TCD operators, less than 50% of children receive this service. The study objectives were to determine the effectiveness of modular TCD training, to improve the quality and standardisation of TCD assessment and thereby facilitate an increase in the number of children screened.  The modular training programme comprised of a two day course, covering theory and practical aspects of TCD and incorporating significant hands on instruction. This was followed by local scanning with continuous monitoring and feedback from the training centre in the United Kingdom (UK) Competency evaluations were undertaken at the end of the instructional course and 6 12 months later when a log book of at least 50 scans was completed. Data were compared with that acquired from the same patients in the year prior to the training programme using imaging and/or non imaging TCD. Statistical analysis was performed using Pearson Chi Square controlling for possible treatment bias.  Data were obtained from 326 patients (male 168 (51.5% female 158 (48.5% mean age 7.6 3.5, range 1 17) in the UK, Ireland and Italy. Genotypes were; HbSS 79% HbSC 19% HbSbetathalassemiadeg 1% HbSbetathalassemia+ 1% 462 pre training scans (imaging and/or non imaging TCD) 134 from the UK, 193 from Ireland and 135 from Italy, and 377 post training scans were available; 114 from the UK, 167 from Ireland and 43 from Italy. Statistical analysis revealed a significant difference in the STOP distribution between the three centres (C2 53, p 0.001) prior to training, with no treatment bias (no treatment C2 47, p 0.001; treatment n 82, C2 23, p 0.001) Anomalous technique between centres pre training included the erroneous use of Doppler angle correction, poor vessel/Doppler angle optimisation and inconsistent STOP velocity thresholds for imaging and non imaging studies. After training the STOP distribution was similar in the three centres (C2 7.1, p 0.311; no treatment C2 11, p 0.074; treatment n 81, C2 7.8, p 0.252) The consistent STOP distribution post training, achieved using either imaging or non imaging TCD,  This is the first modular TCD training programme that has demonstrated efficacy when delivered in different European countries. TCD was either imaging or non imaging techniques and should facilitate the more widespread.
Coronary physiology revisited
Venue: Netherlands Heart Journal
Year: 2017

Coronary angiography is still the gold standard in the diagnosis of coronary artery disease, although its limitations in the assessment of haemodynamic severity of epicardial stenosis are widely recognised [1, 2] In the 1990s, these limitations of angiography led to the introduction of sensorequipped guidewires measuring pressure and flow to optimise the diagnostic workup during cardiac catheterisation. The most frequently used parameter is the fractional flow reserve (FFR) defined as the ratio of the pressure distal to a lesion relative to the aorta pressure during maximal hyperaemia. The concept of FFR assumes a minimal influence of the microvascular resistance during hyperaemic conditions, although a large variability of microvascular resistance exists even in patients with single vessel disease and a normal left ventricular function  Moreover, this microvascular resistance is also influenced by numerous other factors like hypertension, diabetes, left ventricular hypertrophy and/or diffuse coronary artery disease. The assessment of coronary flow reserve, defined as the ratio of the distal hyperaemic flow relative to baseline flow, may serve as an alternative. However, an accurate assessment of flow velocity is more cumbersome than FFR measurement. Moreover, the use of coronary flow reserve has also been criticised as it is determined by the resistance of the epicardial narrowing as well as the distal microvascular resistance and is therefore considered to be less lesionspecific. The FAME trials have shown the usefulness of FFR and this parameter has emerged as a class I A indication for
Influence of Interpersonal Communication Sources on Voting Behaviour of Youth
Year: 2019

Influence of Interpersonal Communication Sources on Voting Behaviour of Youth Vol. IV, No. IV (Fall 2019) 203 process. It also reflects longstanding Psychological bonding to specific political party and relationship on the level of trust and confidence among family Or Bradri that direct youth to vote. Michigan Model of electoral choices (1950) states that party identification is a long term influence and issues, party image and candidate image works as a short term influence which leads voters to make a choice. A general consensus among political researchers holds that "parents, schools, peers, religious institutions, and the news media influence the political socialization of children, and roughly in that order of importance" (Jackson, 2002, p. 2) But even parents, at the front of the list, are no longer considered as powerful an influence as they once were. Traditionally, research on political socialization has viewed family as the most influential on the political behavior of young voters. Family system theory introduced by Dr.Murry Bowen says a family is as an emotional unit. Parents were seen as the intermediary between child and society and had a powerful influence on the lasting values of their children (Hyman, 1959; LeVine, 1963) The family considered as the core group in different sociological researches that shapes the interest and preferences that the individual has in the electoral system of voting. However, even half a century ago, questions were raised as to why parents' and children's political ideologies were not more highly correlated. In Substantive term Studies have explored this relationship (Atkin, 1981; Connell, 1972; Jennings Niemi, 1968; Powell Cowart, 2003) and although studies suggest that the power has diminished parental political influence still exists. This study is an additional link in the long chain of political communication studies since the 1950s that have disentangled the factors that influence the young voter's decision. Specifically, this study examines the extent to which first time voters in the 2013 General Election in Pakistan are influenced by interpersonal communication from various sources around them and what are the sources which affect their parents voting behaviors. In this vein, the paper examines what psychological factors influenced and determined in voting decisions. In this highly politicized world of abundant media coverage, celebrity endorsements, and endless Internet commentary, the question raised is whether interpersonal communication with parents, teachers, peers, and religious leaders is still of significant importance to a voter's decision as in the past. In this context, a study will explore how far these factors influenced voting decisions of youth and those who cast their votes for the first time under the 10th general Election of Pakistan. To answer these questions, first of all, the researcher tried to explain the major term of a research topic.
The Econometric Procedures of Specific Transaction Identification
Year: 2017

The paper presents the econometric procedures of identifying specific transactions, in which atypical conditions or attributes may occur. These procedures are based on studentized and predictive residuals of the accordingly specified econometric models. The dependent variable is a unit transactional price, and explanatory variables are both the real properties' attributes and accordingly defined artificial binary variables. The utility of the proposed method has been verified by means of a real market data base. The proposed procedures can be helpful during the property valuation process, making it possible to reject real properties that are specific (both from the point of view of the transaction conditions and the properties' attributes) and, consequently, to select an appropriate set of similar attributes that are essential for the valuation process.
The Japanese Translations of the Hebrew Bible: History, Inventory and Analysis
Year: 2013

The Japanese Translations of the Hebrew Bible: History, Inventory and Analysis, the first book of its kind in English, recounts the story of the translation of the Bible into Japanese, with particular focus on the Hebrew Bible (Old Testament) It includes a detailed inventory of both full and partial OT translations into Japanese, describing the history of their making and the identity of the translators. Numerous quotations from the various translations are compared with the Hebrew original and with other versions, and analyzed linguistically and theologically. The analysis exposes the ways in which translators sought to bridge the wide linguistic and cultural gaps between the Hebrew Bible and Japan, and the ways in which their translations reflect certain aspects of Japanese society and the place of the Bible in it.
Research on the Construction of Urban Logistics Performance Evaluation Index System from the Perspective of Green Development Based on Entropy Weighting Method
Year: 2019

Green development is the current and long term development concept. Considering the current high cost, low efficiency and great impact on the resources and environment of the logistics industry, it is necessary to build logistics demand, logistics investment and green logistics. The urban logistics performance evaluation index system with 19 indicators in four aspects of output, environment and resources, selects the sample data in the statistical yearbooks of six central provinces in 2018, and determines the weight of the indicators by entropy method. Keywords green development; urban logistics performance; entropy weighting method; evaluation index system
MOXA: A Deep Learning Based Unmanned Approach For Real Time Monitoring of People Wearing Medical Masks
Venue: Transactions of the Indian National Academy of Engineering
Year: 2020

With 6.93M confirmed cases of COVID 19 worldwide, making individuals aware of their sanitary health and ongoing pandemic remains the only way to prevent the spread of this virus. Wearing masks is an important step in this prevention. Hence, there is a need for monitoring if people are wearing masks or not. Closed circuit television (CCTV) cameras endowed with computer vision function by embedded systems, have become popular in a wide range of applications, and can be used in this case for real time monitoring of people wearing masks or not. In this paper, we propose to model this task of monitoring as a special case of object detection. However, real time scene parsing through object detection running on edge devices is very challenging, due to limited memory and computing power of embedded devices. To deal with these challenges, we used a few popular object detection algorithms such as YOLOv3, YOLOv3Tiny, SSD and Faster R CNN and evaluated them on Moxa3K benchmark dataset. The results obtained from these evaluations help us to determine methods that are more efficient, faster, and thus are more suitable for real time object detection specialized for this task.
Defect Resilient Memristor Crossbar of Hierarchical Temporal Memory (HTM) Spatial Pooling for Near IoT Sensor Cognitive Computing
Venue: 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Year: 2020

A huge amount of IoT sensor data may threaten a capacity limitation of cloud computing in near future. To mitigate computation burden of cloud computing due to the massive amount of sensed data, a memristor crossbar for Hierarchical Temporal Memory (HTM) spatial pooling can be considered for energy efficient near IoT sensor computing. By doing so, the amount of data sent to the cloud server can be reduced significantly from 784 gray pixels to 400 Sparse Distributed Representation (SDR) bits or 256 SDR bits for processing MNIST hand written digits. The loss of recognition rate is as little as 2.48% and 1.93% for the 256 column and 400 column memristor crossbars of spatial pooling, respectively. In addition, we have tested and verified the defect resilience scheme of spatial pooling memristor crossbar in this paper, because memristor crossbars near IoT sensor are vulnerable to memristor defects such as stuck at faults, resistance variations, etc.
A Cross Sectional Survey of Community Awareness about Typhoid and its Major Vector Cockroach in Southern Punjab, Pakistan
Year: 2014

Cockroaches live in close proximity to human beings. Due to filthy breeding sites i.e. sewer systems they carry up to 40 pathogenic bacteria. Typhoid is a notorious disease known to be transmitted by cockroaches worldwide. Human thought, perception and behavior vary according to the traditions, vicinity and knowledge. This study was carried out to understand the awareness of community about typhoid and its vector and the way they manage them. For this purpose a questionnaire was developed and data regarding typhoid and its vector were collected from 500 people belonging to 5 localities i.e. Multan, Shujabad, Muzaffargarh, KotAddu and Dera Ghazi Khan of southern Punjab. Results revealed that 44.6% of peoples were affected by typhoid at least once in their life. For season of prevalence, 57.0% of persons said that typhoid problem is more during summer season as compared to other seasons. In southern Punjab 92.2% interviewed persons said that cockroaches create more problem in houses and 84.2% of persons said that annoyance of cockroaches occur in night time but data regarding about insect vector or responsible insect of typhoid only 20.2% person have information that cockroaches spread the typhoid. Present survey in Southern Punjab showed that cockroaches create most problems in food commodities and person need to control it properly and very little person identify the insect vector of typhoid. This survey highlights the Southern Punjab people practices in control of cockroaches.
Gaussian fields for semi supervised regression and correspondence learning
Venue: Pattern Recognit.
Year: 2006

Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi supervised classification. In this paper we show how the GF framework can be used for semi supervised regression on high dimensional data. We propose an active learning strategy based on entropy minimization and a maximum likelihood model selection method. Furthermore, we show how a recent generalization of the LLE algorithm for correspondence learning can be cast into the GF framework, which obviates the need to choose a representation dimensionality.
Improvement of time synchronization based on statistical refinement on auto correlation and cross correlation for OFDM systems
Venue: 2015 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
Year: 2015

In this research, we improve the performance of the OFDM time synchronization using autocorrelation and crosscorrelation with statistical refinement. At first, the time estimation is performed using autocorrelation and crosscorrelation. The result of this estimation is refined using statistical technique to obtain a robust estimate of correct timing, especially on multipath channel system. Computer simulation indicates that this method is robust in high spread multipath environment. Its performance is better compared to the previous methods.
Energy based Generative Adversarial Network
Venue: ArXiv
Year: 2016

We introduce the "Energy based Generative Adversarial Network" model (EBGAN) which views the discriminator as an energy function that attributes low energies to the regions near the data manifold and higher energies to other regions. Similar to the probabilistic GANs, a generator is seen as being trained to produce contrastive samples with minimal energies, while the discriminator is trained to assign high energies to these generated samples. Viewing the discriminator as an energy function allows to use a wide variety of architectures and loss functionals in addition to the usual binary classifier with logistic output. Among them, we show one instantiation of EBGAN framework as using an auto encoder architecture, with the energy being the reconstruction error, in place of the discriminator. We show that this form of EBGAN exhibits more stable behavior than regular GANs during training. We also show that a single scale architecture can be trained to generate high resolution images.