nils-herrmann/clean_scirepeval huggingface dataset:
Protocol Ciphertext Field Identification by Entropy Estimating
Year: 2016

Previous network trace based methods only consider the plaintext format of payload data, and are not suitable for security protocols which include a large number of ciphertext data; therefore, a novel approach named CFIA (Ciphertext Field Identification Approach) is proposed based on entropy estimation for unknown security protocols. On the basis of keywords sequences extraction, CFIA utilizes byte sample entropy and entropy estimation to pre locate ciphertext filed, and further searches ciphertext length field to identify ciphertext field. The experimental results show that without using dynamic binary analysis, the proposed method can effectively identify ciphertext fields purely from network traces, and the inferred formats are highly accurate in identifying the protocols.
PENGEMBANGAN PERANGKAT PEMBELAJARAN IPA BERORIENTASI MODEL PEMBELAJARAN PEMAKNAAN UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR SISWA PDF WUSTHA
Venue: Jurnal Penelitian Pendidikan IPA
Year: 2019

Peningkatan kualitas pendidikan pada semua kalangan (termasuk di dalam pondok pesantren) merupakan upaya yang harus dilakukan untuk menyesuaikan perkembangan ilmu pengetahuan dan teknologi. Pemerintah melalui Kementerian Agama memberikan perhatian khusus terhadap pondok pesantren dengan mengeluarkan peraturan tentang pendidikan keagamaan islam termasuk di dalamnya Pendidikan Diniyah Formal (PDF) Wustha yang merupakan pendidikan formal setara SMP di dalam pondok pesantren. PDF Wustha dalam kurikulumnya mencantumkan pelajaran umum termasuk IPA. Namun dalam prakteknya pelajaran ini seolah hanya menjadi pelengkap sehingga motivasi dan hasil belajar siswa sangat rendah. Tujuan dari penelitian ini adalah menghasilkan perangkat pembelajaran IPA berorientasi model pembelajaran pemaknaan untuk melatih motivasi dan hasil belajar siswa. Analisis data dilakukan secara deskriptif kuantitatif kualitatif dengan hasil implementasi: 1) keterlaksanaan pembelajaran; 2) respon siswa 3) aktivitas siswa 4) motivasi belajar siswa; serta 5) hasil belajar siswa. Penelitian ini dilakukan pada 35 siswa kelas VII PDF Wustha Al Fithrah Surabaya semester genap tahun ajaran 2017/2018 dengan rancangan One Group Pre test and Post test Design. Analisis data dilakukan secara deskriptif kuantitatif kualitatif dengan hasil: 1) Keterlaksanaan sangat baik (skor rata rata 3.78) 2) siswa merespon sangat positif (97.05% 3) Aktivitas siswa bersifat student center; 4) Motivasi belajar siswa meningkat; 5) Hasil belajar belajar siswa meningkat (N gain 0.76) Simpulan penelitian ini adalah motivasi dan hasil belajar siswa PDF Wustha dapat ditingkatkan secara efektif menggunakan model pembelajaran pemaknaan. Pembelajaran pemaknaan, Motivasi belajar, Hasil belajar
Evaluation of Functional Decline in Alzheimer's Dementia Using 3D Deep Learning and Group ICA for rs fMRI Measurements
Venue: Front. Aging Neurosci.
Year: 2019

To perform automatic assessment of dementia severity using a deep learning framework applied to resting state functional magnetic resonance imaging (rs fMRI) data.  We divided 133 Alzheimer's disease (AD) patients with clinical dementia rating (CDR) scores from 0.5 to 3 into two groups based on dementia severity; the groups with very mild/mild (CDR: 0.5 1) and moderate to severe (CDR: 2 3) dementia consisted of 77 and 56 subjects, respectively. We used rs fMRI to extract functional connectivity features, calculated using independent component analysis (ICA) and performed automated severity classification with three dimensional convolutional neural networks (3D CNNs) based on deep learning.  The mean balanced classification accuracy was 0.923 0.042 (p 0.001) with a specificity of 0.946 0.019 and sensitivity of 0.896 0.077. The rs fMRI data indicated that the medial frontal, sensorimotor, executive control, dorsal attention, and visual related networks mainly correlated with dementia severity.  Our CDR based novel classification using rs fMRI is an acceptable objective severity indicator. In the absence of trained neuropsychologists, dementia severity can be objectively and accurately classified using a 3D deep learning framework with rs fMRI independent components.
La France et la Grande Bretagne a l'ere de la medecine genomique
Venue: medecine/sciences
Year: 2019

L'annonce du plan France Medecine Genomique 2015 temoigne de la volonte des pouvoirs publics francais de faire de la medecine genomique l'un des elements phares de la sante publique et de la recherche scientifique nationales. C'est dans ce contexte que la France a annonce sa cooperation avec la Grande Bretagne, l'un des plus grands leaders mondiaux de la medecine genomique. Une telle collaboration au niveau international impose une reflexion a un cadre normatif commun qui reponde aux nouveaux defis ethiques poses par la medecine genomique. Afin qu'un tel cadre soit adapte aux differents contextes nationaux, il est necessaire d'identifier et d'analyser les questions ethiques au niveau general et dans leurs contextes particuliers. Dans cette revue, nous discuterons de l'enjeu international de la medecine genomique et, plus precisement, de l'entree de la France dans la competition internationale. Nous explorerons ensuite les enjeux ethiques de la medecine genomique en prenant comme etude de cas le contexte prenatal. Nous finirons par une reflexion sur l'impact que peut avoir le contexte national sur la facon dont les questions ethiques emergent en France par rapport a la Grande Bretagne.
UJI DAYA ANTHELMINTIK INFUSA DAUN PEPAYA (Carica papaya) TERHADAP CACING Ascaris suumDEWASA SECARA IN VITRO Studi Eksperimental In Vitro Pemberian Infusa Daun Pepaya Terhadap Ascaris suum Dewasa
Year: 2017

Daun pepaya (Carica papaya) berpotensi sebagai anthelmintik karena mengandung saponin, tanin dan enzim alkaloid. Senyawa aktif pada daun pepaya menyebabkan paralisis pada cacing. Penelitian mengenai infusa daun pepaya terhadap Ascaris suumtelah dilakukan namun hasilnya belum memuaskan dikarenakan dosis yang terlalu rendah.Penelitian ini bertujuan untuk mengetahui daya anthelmintik infusa daun pepaya (Carica papaya) terhadap cacing Ascaris suum dewasa secara in vitrodengan konsentrasi 20% 40% dan 80% Jenis penelitian yang digunakan adalah eksperimental laboratorium dengan rancangan post test only control group design. Pada penelitian ini sampel yang digunakan adalah cacing Ascaris suum dewasa yang terdiri dari lima kelompok, pengamatan selama 8 jam dan dilakukan replikasi tiga kali. Kelompok I sebagai kontrol negatif (NaCl 0,9% kelompok II, III, dan IV infusa daun pepaya konsentrasi 20% 40% dan 80% kelompok V kontrol positif yaitu 0,2% pyrantel pamoat. Selanjutnya dilakukan uji kruskall wallis dan Mann Whitney. Hasil rerata kematian cacing pada jam ke delapan yaitu K I 0.00, K II 3.00, K III 4.00, K IV 5.00, dan K V 5.00. Hasil uji kruskall Wallisdiperoleh nilai p value sebesar 0.000 (p<0,05) berarti berbeda secara bermakna. Kemudian uji Mann Whitney hasilnya adalah K I berbeda bermakna dengan K II, KIII, K IV dan K V. Terdapat perbedaan yang bermakna pada K IVdengan K V. Hasil analisis probit LT99padaK II adalah 16.66, K III adalah 11.98, dan K IV adalah 7.92 jam. Semakin tinggi konsentrasi infusa semakin cepat waktu bunuh cacing. Berdasarkan penelitian ini disimpulkan infusa daun pepaya (Carica papaya) memiliki daya anthelmintik terhadapcacing Ascaris suum dewasa secara in vitro. Kata kunci Ascaris suum, Carica papaya,
Non Linear Distortion in Ultra Wideband GaN Power Amplifiers
Venue: 2018 48th European Microwave Conference (EuMC)
Year: 2018

This paper studies non linear distortion effects in two different architectures of ultra wideband GaN power amplifiers. As transmitted power, carrier frequency and modulation complexity increase in modern communications systems, there is a need to characterize nonlinearity in HPAs. Two general purpose HPAs, designed and manufactured using European GaN technology, are analyzed in a complex modulation scenario, to characterize the effects produced by their nonlinear features.
A PDE approach to nonlinear potential theory in metric measure spaces
Year: 2013

We show that the tools recently introduced by the first author in  (2012) allow to give a PDE description of p harmonic functions in metric measure setting. Three applications are given: the first is about new results on the sheaf property of harmonic functions, the second is a PDE proof of the fact that the composition of a sub minimizer with a convex and non decreasing function is again a sub minimizer, and the third is the fact that the Busemann function associated to a line is harmonic on infinitesimally Hilbertian CD(0,N) spaces.
An abnormal traffic detection method in smart substations based on coupling field extraction and DBSCAN
Year: 2021

Smart Substation becomes more vulnerable to cyber attacks due to the high integration of information technologies, so it is essential to detect intrusion behaviour by abnormal traffic analysis in smart substations. Although there have been many detection methods for abnormal traffic, the existing ones all focus on the format check of a single field of the industrial transmission protocol, and ignore the deep coupling relationships among multiple protocol fields, which lead to more or less false detections and missed detections. To overcome this problem and further improve the detection accuracy, in this paper, we propose an abnormal traffic detection method based on the coupling field extraction and the density based spatial clustering of applications with noise (DBSCAN) By using correlation analysis to extract the coupling fields of the protocol fields and using DBSCAN to remove the noise in the coupling fields, the deep coupling relationship between the coupling fields can be mined by the piecewise linear function fitting method, and used to detect abnormal traffic. The simulation results on 10,000 frames traffic prove that the proposed detection method can effectively identify the abnormal traffic.
Efficient Ciphertext Policy Attribute Based Encryption Constructions with Outsourced Encryption and Decryption
Venue: Secur. Commun. Networks
Year: 2021

e invention of the Ciphertext Policy Attribute Based Encryption scheme opened a new perspective for realizing attribute based access control systems without being forced to trust the storage service provider, which is the case in traditional systems where data are sent to the storage service provider in clear and the storage service provider is the party that controls the access to these data. In the Ciphertext Policy Attribute Based Encryption model, the data owner encrypts data using an attribute based access structure before sending them to the storage service, and only users with authorized sets of attributes can successfully decrypt the generated ciphertext. However, Ciphertext Policy Attribute Based Encryption schemes employ expensive operations (i.e. bilinear pairings and modular exponentiations) and generate long ciphertexts and secret keys, which makes them hard to implement in real life applications especially for resource constrained devices. In this paper, we propose two Ciphertext Policy Attribute Based Encryption Key Encapsulation Mechanisms that can be provided as services in the cloud, minimizing the user's encryption and decryption costs without exposing any sensitive information to the public cloud provider. In the first scheme, the ABE Service Provider is considered fully untrusted. On the other hand, the second scheme requires the ABE Service Provider to be semi trusted (Honest but Curious) and does not collude with illegitimate users. Both schemes are proved to be selectively CPA secure in the random oracle. e theoretical and experimental performance results show that both our first and second schemes are more efficient than the reviewed outsourced CP ABE schemes in terms of user side computation, communication, and storage costs.
Communication in autism spectrum disorder: a guide for pediatric nurses.
Venue: Pediatric nursing
Year: 2014

In the United States, one in every 68 children has autism spectrum disorder (ASD) (Centers for Disease Control and Prevention, 2014) ASD is a developmental disorder of the brain that is characterized by impairments in social interaction, communication, and repetitive patterns of behavior (American Psychiatric Association [APA] 2013) Nurses have a duty to provide high quality care to children with ASD. Effective communication is essential to providing quality care. Three main theories attempt to explain how the ASD brain functions and the implications on communication: lack of theory of mind, weak central coherence, and lack of executive function. Children with ASD have difficulties in vocalic, kinesthetic, and proxemic aspects of communication (Notbhom, 2006) Simple adaptations to environment and style can make the communication between nurses and children with ASD easier and more effective (Aylott, 2000; Green et al. 2010)
Communicative Competence for Individuals who require Augmentative and Alternative Communication: A New Definition for a New Era of Communication?
Venue: Augmentative and alternative communication
Year: 2014

In 1989, Light defined communicative competence for individuals with complex communication needs who require augmentative and alternative communication (AAC) as a dynamic interpersonal construct based on functionality of communication; adequacy of communication; and sufficiency of knowledge, judgment, and skills. Specifically, Light argued that, in order to demonstrate communicative competence, individuals who required AAC had to develop and integrate knowledge, judgment, and skills in four interrelated domains: linguistic, operational, social, and strategic. In 2003, Light expanded this definition and argued that the attainment of communicative competence is influenced by not just linguistic, operational, social, and strategic competencies but also a variety of psychosocial factors (e.g. motivation, attitude, confidence, resilience) as well as barriers and supports in the environment. In the 25 years since this definition of communicative competence for individuals who use AAC was originally proposed, there have been significant changes in the AAC field. In this paper, we review the preliminary definition of communicative competence, consider the changes in the field, and then revisit the proposed definition to determine if it is still relevant and valid for this new era of communication.
Market Segmentation of Sport Tourism in Iran for Foreign Tourists Regarding Culture and Modeling of Target Market
Year: 2014

The Purpose of this study was market segmenting of sport tourism in Iran for foreign tourists according to culture and modeling of target market. To do so, a questionnaire was distributed among 710 participants from 53 countries attending in Fajr International Sport Events in 2010 11. The results showed that Anglo, Latin European and East European, Arab, South Asian and Confucius (Asian) and Central Asian Cultures had the most interest in the sport events (97% Also, four factors including attractions related to mountain and snow, water sports, sport events, and desert were selected as models of sport tourism target market in Iran. The results of exploratory analysis revealed that these four factors determined and predicted 62% of Iran sport tourism target market.
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Venue: ArXiv
Year: 2021

This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general purpose backbone for computer vision. Challenges in adapting Transformer from language to vision arise from differences between the two domains, such as large variations in the scale of visual entities and the high resolution of pixels in images compared to words in text. To address these differences, we propose a hierarchical Transformer whose representation is computed with shifted windows. The shifted windowing scheme brings greater efficiency by limiting selfattention computation to non overlapping local windows while also allowing for cross window connection. This hierarchical architecture has the flexibility to model at various scales and has linear computational complexity with respect to image size. These qualities of Swin Transformer make it compatible with a broad range of vision tasks, including image classification (86.4 top 1 accuracy on ImageNet 1K) and dense prediction tasks such as object detection (58.7 box AP and 51.1 mask AP on COCO test dev) and semantic segmentation (53.5 mIoU on ADE20K val) Its performance surpasses the previous state of the art by a large margin of +2.7 box AP and +2.6 mask AP on COCO, and +3.2 mIoU on ADE20K, demonstrating the potential of Transformer based models as vision backbones. The code and models will be made publicly available at https: github.com/microsoft/Swin Transformer.
Qualite des institutions et Financement des Economies en Afrique Sub Saharienne Role du Capital Humain
Year: 2020

Les pays de l'Afrique SubSaharienne font etat d'un probleme de rationnement de credit. Pourtant un ensemble de reformes y a ete fait au debut des annees 90 avec pour objectif de favoriser le financement des economies. L'echec evident de ces reformes, a ce jour, conduit a en rechercher les raisons. L'un des arguments largement retenu dans la litterature est celui de la qualite des institutions et du capital humain. C'est pourquoi cette etude a pour objectif de determiner l'effet du capital humain dans la relation qui existe entre la qualite des institutions et le financement des economies dans les pays de l'Afrique Sub Saharienne. Le niveau de developpement financier obtenu par ces pays, apres l'instauration de la gouvernance administrative et financiere est elle tributaire du capital humain Pour y parvenir, des estimations econometriques ont ete faites en utilisant la Methode des Moments Generalises (MMG) en panel dynamique de 36 pays de la zone sur la periode allant de 2000 a 2018. A la suite de quoi il en est ressorti que, la qualite institutionnelle seule n'est pas encore a meme de favoriser le developpement financier des pays de cette region. D'ou la necessite de combiner dispositif de gouvernance et qualite du capital humain qui sont des facteurs de developpement financier. Les scandales de corruption lies aux detournements des fonds publics, la vente des biens publics par les fonctionnaires se materialisent dans les procedures de passation de marches publics. Il est donc necessaire d'elaborer des politiques publiques et une competition entre les banques a travers un capital humain au potentiel optimal pour la promotion du financement de l'economie dans l'Afrique Subsaharienne.
Development of VIPER: a simulator for assessing vision performance of warfighters
Venue: SPIE Commercial Scientific Sensing and Imaging
Year: 2016

When evaluating vision, it is important to assess not just the ability to read letters on a vision chart, but also how well one sees in real life scenarios. As part of the Warfighter Refractive Eye Surgery Program (WRESP) visual outcomes are assessed before and after refractive surgery. A Warfighter's ability to read signs and detect and identify objects is crucial, not only when deployed in a military setting, but also in their civilian lives.  VIPER, a VIsion PERformance simulator was envisioned as actual video based simulated driving to test warfighters' functional vision under realistic conditions. Designed to use interactive video image controlled environments at daytime, dusk, night, and with thermal imaging vision, it simulates the experience of viewing and identifying road signs and other objects while driving. We hypothesize that VIPER will facilitate efficient and quantifiable assessment of changes in vision and measurement of functional military performance.  Video images were recorded on an isolated 1.1 mile stretch of road with separate target sets of six simulated road signs and six objects of military interest, separately. The video footage were integrated with customdesigned C+ based software that presented the simulated drive to an observer on a computer monitor at 10, 20 or 30 miles/hour. VIPER permits the observer to indicate when a target is seen and when it is identified. Distances at which the observer recognizes and identifies targets are automatically logged. Errors in recognition and identification are also recorded. This first report describes VIPER's development and a preliminary study to establish a baseline for its performance. In the study, nine soldiers viewed simulations at 10 miles/hour and 30 miles/hour, run in randomized order for each participant seated at 36 inches from the monitor.  Ultimately, patients are interested in how their vision will affect their ability to perform daily activities. In the military context, in addition to reading road signs, this includes vision with night sensors and identification of objects of military interest. Once completed and validated, VIPER will be used to evaluate functional performance before and after refractive surgery.  This initial study was to prove the principle, and its results at the time of this publication were very preliminary. Nine Soldiers viewed visible day and IR day VIPER simulations with civilian and military targets, separately, at 10 and 30 miles/hour. Analyses were performed separately for visible and IR, and also aggregated. Only the civilian targets are discussed in this report. At 10 miles/hour, the population detected civilian road signs at an aggregated average of 90.11 64.20 m, and identified them at 26.93 22.27m. At 30 miles/hour, the corresponding distances were 103.03 58.81 and 26.26 8.55, respectively.  This preliminary report proves the principle and suggests that VIPER could be a useful clinical tool in longitudinal assessment of functional vision in warfighters.
Mathematics Anxiety and Preservice Elementary Teachers' Confidence to Teach Mathematics and Science
Year: 2006

Sixty five preservice elementary teachers' math anxiety levels and confidence levels to teach elementary mathematics and science were measured. The confidence scores of subjects in different math anxiety groups were compared and the relationships between their math anxiety levels and confidence levels to teach mathematics and science were investigated. The results suggest that low math anxious preservice teachers are more confident to teach elementary mathematics and science than are their peers having higher levels of math anxiety. Negative correlations were found between preservice teachers' math anxiety and their confidence scores to teach elementary mathematics (r .638) and between preservice teachers' math anxiety and their confidence scores to teach elementary science (r .417) Also, personal math and science teaching self efficacy scores of participants were found to be correlated at .01 level (r .549)