nils-herrmann/clean_scirepeval huggingface dataset:
Organizacion retorica y relaciones de coherencia en el abstract de biologia Rhetoric organization and coherence relations in the biology abstract
Year: 2015

abstract, rhetoric organization, coherence relations, academic discourse 1. I ntroduccIon Sin lugar a dudas, el abstract cumple un rol central en diferentes actividades a traves de las cuales se transmite el conocimiento cientifico. Por ejemplo, una de las formas de comunicacion mas importantes en contextos academicos se realiza a traves de publicaciones en revistas cientificas, las que, segun Lores (2004) estan fuertemente determinadas por las caracteristicas y por los argumentos presentados en el abstract. Otra de las actividades en las que este genero juega un rol fundamental es en congresos y conferencias, ya que para participar en ellos, los investigadores deben enviar el abstract de sus colaboraciones a un comite de expertos, quienes aceptaran o rechazaran los trabajos atendiendo lo expuesto en el.Debido a su relevancia, en los ultimos treinta anos, el abstract ha acaparado la atencion de numerosos investigadores interesados en describir el discurso academico. Este interes ha resultado en una variedad de estudios, los que se han focalizado en diferentes rasgos de este genero (para una revision actualizada, ver Bondi y Lores 2014) Asi, existen trabajos que describen de manera pormenorizada su organizacion tematica (Lores 2004) otros han dado cuenta de su complejidad lexica (Gholami, Mosalli y Bidel 2012) existen aquellos que han descrito el lexico mas frecuentemente utilizado (Farjami 2013) y los tiempos verbales prototipicos (Pezzine 2003) asi como tambien el uso de voces pasivas y activas (Li 2011) sin dejar de lado aquellos que han indagado como el autor se posiciona en este genero (Hyland y Tse 2005; Lores 2008; Pho 2008).Si bien existe una gran cantidad y variedad de estudios focalizados en diversos rasgos del abstract, es indudable que uno de los aspectos mas investigados de este genero es su organizacion retorica (Salager Meyer 1990, 1992; Dos Santos 1996; Martin Martin 2003; Lores 2004) y la forma en que dicha organizacion se configura en diferentes disciplinas (Melander, Swales y Fredrickson 1997; Hyland 2000;
A Survey on Mobile User Perceptions of Sensitive Data and Authentication Methods
Venue: PCI
Year: 2020

The rapid evolution of mobile phone devices resulted in the conversion of a simple communication device to a complicated small portable computer offering a plethora of features and services. Sensitive data are now stored in devices that can be easily lost, stolen, or compromised. A mobile user survey was conducted to get a better understanding of what the users think about the data stored in their devices, the authentication methods they use, and their willingness to try a new one. This paper presents the results derived from 81 mobile users. The results reveal that the users still use text based authentication methods, with the preferred method being the Pin Code. The bio metric authentication adopters have a better understanding of what sensitive data are and feel they are not fully protected. The analysis also revealed that the majority of users, regardless of their preferred authentication method are willing to try new authentication methods that promise to offer a higher level of security for their personal data.
Present day kinematics at the India Asia collision zone
Year: 2007

The collision of the Indian subcontinent with Asia drives the growth and evolution of the greater Tibetan Plateau region. Fault slip rates resulting from the relative motion between crustal blocks can provide a kinematic description of the distribution of presentday deformation. I construct a three dimensional, regional scale elastic block model of the India Asia collision zone that is consistent with geodetic observations of interseismic deforma tion, mapped fault system geometry, historical seismicity, and the mechanics of the earthquake cycle. This mechanical model of the elastic upper crust yields a set of kinematically consistent fault slip rates and block motions that may serve to constrain dynamic models of continental crustal dynamics.
The growing problem of patent trolling
Venue: Science
Year: 2016

Cash hungry patent trolls are squelching innovation and should be screened out The last decade has seen a sharp rise in patent litigation in the United States; 2015 has one of the highest patent lawsuit counts on record (1) In theory, this could reflect growth in commercialization of technology and innovation lawsuits increase as more firms turn to intellectual property (IP) protection to safeguard their competitive advantages. However, the majority of recent patent litigation is driven by nonpracticing entities (NPEs) firms that generate no products but amass patent portfolios for the sake of "enforcing" IP rights (2) We discuss new, large sample evidence adding to a growing literature (3 7) that suggests that NPEs in particular, large patent aggregators on average, act as "patent trolls," suing cash rich firms seemingly irrespective of actual patent infringement. This has a negative impact on innovation activity at targeted firms. These results suggest a need to change U.S. IP policy, particularly to screen out trolling early in the litigation process.
Genetic determinants of heel bone properties: genome wide association meta analysis and replication in the GEFOS/GENOMOS consortium.
Venue: Human molecular genetics
Year: 2014

Quantitative ultrasound of the heel captures heel bone properties that independently predict fracture risk and, with bone mineral density (BMD) assessed by X ray (DXA) may be convenient alternatives for evaluating osteoporosis and fracture risk. We performed a meta analysis of genome wide association (GWA) studies to assess the genetic determinants of heel broadband ultrasound attenuation (BUA; n 14 260) velocity of sound (VOS; n 15 514) and BMD (n 4566) in 13 discovery cohorts. Independent replication involved seven cohorts with GWA data (in silico n 11 452) and new genotyping in 15 cohorts (de novo n 24 902) In combined random effects, meta analysis of the discovery and replication cohorts, nine single nucleotide polymorphisms (SNPs) had genome wide significant (P 5 x 10( 8) associations with heel bone properties. Alongside SNPs within or near previously identified osteoporosis susceptibility genes including ESR1 (6q25.1: rs4869739, rs3020331, rs2982552) SPTBN1 (2p16.2: rs11898505) RSPO3 (6q22.33: rs7741021) WNT16 (7q31.31: rs2908007) DKK1 (10q21.1: rs7902708) and GPATCH1 (19q13.11: rs10416265) we identified a new locus on chromosome 11q14.2 (rs597319 close to TMEM135, a gene recently linked to osteoblastogenesis and longevity) significantly associated with both BUA and VOS (P 8.23 x 10( 14) In meta analyses involving 25 cohorts with up to 14 985 fracture cases, six of 10 SNPs associated with heel bone properties at P 5 x 10( 6) also had the expected direction of association with any fracture (P 0.05) including three SNPs with P 0.005: 6q22.33 (rs7741021) 7q31.31 (rs2908007) and 10q21.1 (rs7902708) In conclusion, this GWA study reveals the effect of several genes common to central DXA derived BMD and heel ultrasound/DXA measures and points to a new genetic locus with potential implications for better understanding of osteoporosis pathophysiology.
ANALISIS KEBUTUHAN LEMBAR KERJA SISWA (LKS) BERBASIS TAKSONOMI Trends in International Mathematics and Science Study (TIMSS) SEBAGAI UPAYA MENINGKATKAN PENALARAN MATEMATIS SISWA BIDANG ALJABAR
Venue: SNAMI 2018
Year: 2018

Salah satu bahan ajar yang sering digunakan pada pembelajaran Matematika adalah Lembar Kerja Siswa (LKS) Sesuai dengan Kurikulum 2013, salah satu kompetensi yang wajib dimiliki siswa SMP adalah mengolah, menyaji, dan menalar dalam ranah konkret dan abstrak. Sehubungan dengan kompetensi tersebut, maka diperlukan pembaharuan dan pengembangan secara berlanjut terhadap LKS yang digunakan. Jenis penelitian ini adalah deskriptif kualitatif. Penelitian ini bertujuan untuk menganalisis kebutuhan LKS berbasis taksonomi TIMSS pada siswa SMP. Subjek pada penelitian ini adalah siswa kelas VIII SMPN 1 Ngronggot Nganjuk yang diambil menggunakan teknik purposive sampling. Pengumpulan data dilakukan oleh peneliti sebagai instrumen utama dan instrumen bantu berupa lembar observasi dan angket. Penelitian ini melalui beberapa tahapan yaitu tahap persiapan, tahap pengumpulan dan analisis data, serta tahap penyusunan laporan. Hasil penelitian menunjukkan: (1) pelaksanaan pembelajaran matematika di SMPN 1 Ngronggot masih menggunakan metode ceramah dan diskusi, sementara bahan ajar yang digunakan belum melatih siswa menggunakan penalaran matematisnya. (2) Guru memerlukan suatu bahan ajar yang dapat melatih dan mengembangkan kemampuan penalaran matematis siswa dalam pemecahan masalah. (3) 82,8% siswa merasa kesulitan pada materi aljabar dan 84,4% siswa menyatakan bahwa LKS yang ada kurang membuat mereka paham dalam pembelajaran sehingga siswa mendukung pengembangan LKS berbasis taksonomi TIMSS.
Comic MTL: optimized multi task learning for comic book image analysis
Venue: International Journal on Document Analysis and Recognition (IJDAR)
Year: 2019

Comic book image analysis methods often propose multiple algorithms or models for multiple tasks like panel and character (body and face) detection, balloon segmentation, text recognition, etc. In this work, we aim to reduce the processing time for comic book image analysis by proposing one model that can learn multiple tasks called Comic MTL instead of using one model per task. In addition to detection and segmentation tasks, we integrate the relation analysis task for balloons and characters into the Comic MTL model. The experiments are carried out on DCM772 and eBDtheque public datasets that contain the annotations for panels, balloons, characters and also the associations between balloon and character. We show that the Comic MTL model can detect the associations between balloons and their speakers (comic characters) and handle other tasks like panel and character detection and also balloons segmentation with promising results.
OBVLADOVANJE STRESA NA III. GIMNAZIJI MARIBOR
Year: 2013

V danasnjem casu smo stresu podvrzeni vsi. Stres dozivimo predvsem takrat, kadar zaznamo razliko med zahtevami okolja in nasimi zmogljivostmi. Ta razlika se najbolj kaze na nasem delovnem mestu. Zaradi hitrega tempa zivljenja in vedno vecjega stevila dodatnih nalog v sluzbi nam zmanjkuje casa za zabavo, druzenje s prijatelji in z druzino ter nenazadnje nam zmanjka tudi cas, ki ga potrebujemo sami zase. Vse to se odraza na nasem upadu odpornosti in ucinkovitosti na delovnem mestu ter doma. Dobro je, da se samega stresa zavedamo in da vzpostavimo v telesu ravnovesje, kajti v primeru neuspeha lahko stres privede do nezdravih vedenjskih vzorcev in navad, kot so alkoholizem, prekomerno uzivanje hrane, pretirano kajenje ipd. V diplomskem seminarju smo podali razlicne tehnike, ki jih lahko posameznik uporabi za obvladovanje stresa, kot so na primer meditacija idr. Prav tako smo opisali, kako se lahko spopademo s stresom na ravni organizacije. Vse skupaj smo podkrepili z raziskavo, ki smo jo izvedli z anketnim vprasalnikom na III. gimnaziji Maribor.
THE COMPARATIVE ANALYSIS WITH BERT AND ELMOMETHODS FORMOVIE REVIEWS PREDICTION USING NLP
Year: 2020

ELMo follows more traditional design and uses LSTMs for its computation of word embeddings while state of the art BERT uses Transformers which involves in two approach for the language modellng. The ELMo uses two layers each of them consists of forward and backward pass to compute the intermediate word vectors. It helps the ELMo to achieve high efficiency compared to other traditional language models. On the other hand, the BERT uses the transformer for the same thing the ELMo does. But instead of having two separate forward and backward pass layer, it uses single layer and analyses the a given sentence from both sides using the unique masking technique. In the masking technique random words are masked in order to prevent the model to see the word indirectly to itself only. The dataset IMDB Large Movie Review Dataset used to compare the two different models is a well balanced dataset which is hosted by the Stanford University, US. It consists of variety of strings that help us to check performance of the language model in handling different context of the situation. The main comparison factor in it is the accuracy which is the benchmark of this research.
Investigation on performance and implementation of Tesla turbine in engine waste heat recovery
Year: 2019

Waste heat recovery is significant to improve energy utilization. Expander is one of the most important components in waste heat recovery. Tesla turbine offers an attractive option for the expander if an efficient design can be well achieved. Faced the theoretical and computational challenges associated with the feasibility of Tesla turbine in a small scale waste heat recovery system, this paper formulates a systematic design methodology to seek optimal parameters and geometric model of the Tesla turbine which is applied to a coolant waste heat recovery system of an automobile engine. To achieve this goal, a detailed investigation into the performance of Tesla turbine, which incorporates experimental and computational fluid dynamics analysis manifests that Tesla turbine achieves higher performance at lower rotation speed. Performance analysis on the waste heat recovery system under various operating conditions is conducted based on a comprehensive thermodynamic model. Results show that the total power and overall thermal efficiency of the waste heat recovery system are clearly increased over a low rotation speed range, furtherly, which can be improved by selecting appropriate viscosity of the working fluid and number of nozzles. It is desirable and significative to effectively improve power output and thermal efficiency for an automobile engine at a lower expense of volume and cost.
Protein degradation and peptide formation with antioxidant activity in pork protein extracts inoculated with Lactobacillus plantarum and Staphylococcus simulans.
Venue: Meat science
Year: 2019

This study focused on sarcoplasmic and myofibrillar protein degradation and the formation of peptides with antioxidant activity by mixed starters (Lactobacillus plantarum CD101 and Staphylococcus simulans NJ201) Gel electrophoresis indicated that the mixed starters can hydrolyze both sarcoplasmic and myofibrillar proteins, and the concentration of peptides increased (P .05) Compared with the control group, using mixed starters led to a significant increase (P .05) in the DPPH radical scavenging activity, Fe2+ chelating activity, and ABTS radical scavenging activity of sarcoplasmic proteins, but demonstrated no significant difference in myofibrillar proteins. Two hydrophobic fractions (C2, C5) separated by RP HPLC in the inoculation groups with sarcoplasmic proteins showed high DPPH radical scavenging activity (66.60% 60.50% Eighteen peptides were identified by LC MS/MS, which mainly arose from triosephosphate isomerase, creatine kinase M type, and glyceraldehyde 3 phosphate dehydrogenase. Hydrophobic amino acids accounted for a large proportion. Our results indicate that mixed starters affect proteolytic characterization and contribute to the formation of peptides with antioxidant capacity in sarcoplasmic proteins.
3D Object Retrieval Based on Multi View Latent Variable Model
Venue: IEEE Transactions on Circuits and Systems for Video Technology
Year: 2019

View based 3D object retrieval, in which multiple views are used for representation and retrieval, has attracted increasing attention due to its great flexibility. In this paper, we propose a discriminative multi view latent variable model (MVLVM) for this task. Specifically, we design MVLVM to have an undirected graph structure in which the view set of a given 3D object is treated as the observations from which to discover the latent visual and spatial contexts. Then, we detail the learning and inference process of MVLVM for view based 3D object retrieval. The proposed MVLVM has the following beneficial features: 1) it jointly learns visual and spatial contexts for 3D object modelling and 2) it avoids the difficulty of representative view extraction for model representation. Consequently, it can support flexible 3D model retrieval for real applications by avoiding camera array constraints, which severely constrain traditional methods. We report extensive experiments conducted on single modal datasets (the NTU and ITI datasets) and a multi modal dataset (MVRED RGB and MVRED Depth) These comparative experiments demonstrate the superiority of the proposed method.
Flipping the Script: Masculinity and Reintegration in a Parolee Mentoring Programme
Year: 2017

This research presents the culmination of more than 80 hours of observation of a community based reintegration programme known as Coalition, Leadership, Education, Advice, and Rehabilitation (CLEAR) Through a thematic analysis of discussions between returning and returned citizens, the research explores the role of masculinity in crime cessation and reintegration among a group of predominantly minority males. Our findings suggest that masculinity, although not always identified, is a salient factor in the subject's lives and routinely gives shape to their behaviour.
Plant leaf detection using modified active shape models
Year: 2013

We propose an in situ detection method of multiple leaves with overlapping and occlusion in greenhouse conditions. Initially a multilayer perceptron (MLP) is used to classify partial boundary images of pepper leaves. After the partial leaf boundary detection, active shape models (ASMs) are subsequently built to employ the images of entire leaves based on a priori knowledge using landmark. Two deformable models were developed with pepper leaves: Boundary ASM and MLP ASM. Matching processes are carried out by deforming the trained leaf models to fit real leaf images collected in the greenhouse. MLP ASM detected 76.7 and 87.8% of overlapping and occluded pepper leaves respectively, while Boundary ASM showed detection rates of 63.4 and 76.7% The detection rates by the conventional ASM were 23.3 and 29.3% The leaf models trained with pepper leaves were further tested with leaves of paprika, in the same family but with more complex shapes (e.g. holes and rolling) Although the overall detection rates were somewhat lower than those for pepper, the rates for the occluded and overlapping leaves of paprika were still higher with MLP ASM (ranging from 60.4 to 76.7% and Boundary ASM (ranging from 50.5 to 63.3% than using the conventional active shape model (from 21.6 to 30.0% The modified active shape models with the boundary classifier could be an efficient means for detecting multiple leaves in field conditions.
The role of text extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning
Venue: International Journal of Forecasting
Year: 2020

Whether investor sentiment affects stock prices is an issue of long standing interest for economists. We conduct a comprehensive study of the predictability of investor sentiment, which is measured directly by extracting expectations from online user generated content (UGC) on the stock message board of Eastmoney.com in the Chinese stock market. We consider the influential factors in prediction, including the selections of different text classification algorithms, price forecasting models, time horizons, and information update schemes. Using comparisons of the long short term memory (LSTM) model, logistic regression, support vector machine, and Naive Bayes model, the results show that daily investor sentiment contains predictive information only for open prices, while the hourly sentiment has two hours of leading predictability for closing prices. Investors do update their expectations during trading hours. Moreover, our results reveal that advanced models, such as LSTM, can provide more predictive power with investor sentiment only if the inputs of a model contain predictive information.
Relacion entre el contenido hormonal y la calidad fenolica de la uva (cvs. Tempranillo y Graciano) en condiciones de riego deficitario
Year: 2013

Relacion entre el contenido hormonal y la calidad fenolica de la uva (cvs. Tempranillo y Graciano) en condiciones de riego deficitario.  Acido abscisico, acido salicilico, antocianinas, auxinas, deficit hidrico, flavonoles, compuestos nitrogenados, Vitis vinifera L. El riego deficitario en vid reduce el crecimiento de la planta, la produccion y el desarrollo de las bayas, alterando ademas el proceso de maduracion de las mismas, todo lo cual puede influir en la composicion del fruto y la calidad del vino. Por tanto, los objetivos de este estudio han sido: (1) evaluar la respuesta al deficit hidrico de la composicion fenolica durante el desarrollo y la maduracion de la baya; (2) investigar la influencia de las principales hormonas endogenas de la baya (acido abscisico, acido indol 3 acetico, acido salicilico y acido jasmonico) sobre el crecimiento y la maduracion de la uva bajo condiciones de deficit hidrico; y (3) analizar la implicacion del estado hormonal de la baya en la calidad y composicion de la uva en respuesta al riego deficitario aplicado durante diferentes momentos fenologicos. El estudio se llevo a cabo con plantas de Tempranillo y Graciano cultivadas en macetas bajo condiciones controladas en un invernadero. Los tratamientos de riego fueron: control (bien regado) y tres tipos de riego deficitario impuesto desde el cuajado hasta la cosecha (riego deficitario sostenido, SDI) desde el cuajado hasta el envero (deficit hidrico temprano, ED) y desde el envero hasta la cosecha (deficit hidrico tardio, LD) El tratamiento SDI en Graciano produjo mayores concentraciones de antocianinas, flavonoles y catequinas y menor de acidos hidroxicinamicos que en Tempranillo, lo que indica que en condiciones de riego deficitario, la evolucion de la composicion fenolica de Graciano podria contribuir a incrementar la calidad del fruto. Ademas, la restriccion hidrica influyo en la reduccion del crecimiento de la baya a traves de alteraciones en su balance hormonal, la sintesis de polifenoles y la composicion de aminoacidos y aminas, lo que pudo comprometer la calidad del fruto. Por ultimo, las diferencias en la sensibilidad de ambas variedades (Tempranillo y Graciano) a los deficits hidricos estacionales tambien estuvieron condicionadas por cambios en el estado hormonal de las bayas.
Improved head driven statistical models for natural language parsing
Year: 2013

Head driven statistical models for natural language parsing are the most representative lexicalized syntactic parsing models, but they only utilize semantic dependency between words, and do not incorporate other semantic information such as semantic collocation and semantic category. Some improvements on this distinctive parser are presented. Firstly, "valency" is an essential semantic feature of words. Once the valency of word is determined, the collocation of the word is clear, and the sentence structure can be directly derived. Thus, a syntactic parsing model combining valence structure with semantic dependency is purposed on the base of head driven statistical syntactic parsing models. Secondly, semantic role labeling (SRL) is very necessary for deep natural language processing. An integrated parsing approach is proposed to integrate semantic parsing into the syntactic parsing process. Experiments are conducted for the refined statistical parser. The results show that 87.12% precision and 85.04% recall are obtained, and F measure is improved by 5.68% compared with the head driven parsing model introduced by Collins.