nils-herrmann/clean_scirepeval huggingface dataset:
Transcriptome sequencing and analysis of major genes involved in calcium signaling pathways in pear plants (Pyrus calleryana Decne.
Venue: BMC Genomics
Year: 2015

BackgroundPears (Pyrus spp. L. are an important genus of trees that produce one of the world's oldest fruit crops. Salinity stress is a common limiting factor for plant productivity that significantly affects the flavor and nutritional quality of pear fruits. Much research has shown that calcium signaling pathways, mediated by Calcineurin B like proteins (CBLs) and their interacting kinases (CIPKs) are closely associated with responses to stresses, including salt. However, little is known about the molecular mechanisms that govern the relationship between salt stress and calcium signaling pathways in pear plants. The available genomic information for pears has promoted much functional genomic analysis and molecular breeding of the genus. This provided an ample foundation for characterizing the transcriptome of pear under salt stress. high throughput Illumina RNA seq technology was used to identify a total of 78,695 unigenes that were successfully annotated by BLASTX analysis, using the publicly available protein database. Additionally, 2,855 novel transcripts, 218,167 SNPs, 23,248 indels and 18,322 alternative splicing events occurred. Assembled unique sequences were annotated and classified with Gene Ontology (GO) Clusters of Orthologous Group (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, which revealed that the main activated genes in pear are predominately involved in functions such as basic physiological processes, metabolic pathways, operation of cellular components, signal transduction mechanisms, and other molecular activities. Through targeted searches of the annotations, the majority of the genes involved in calcium signaling pathways were identified, among which, four genes were validated by molecular cloning, while 11 were validated by RT qPCR expression profiles under salt stress treatment.ConclusionsThese results facilitate a better understanding of the molecular genetics and functional genomic mechanisms of salt stress in pear plants. Furthermore, they provide a valuable foundation for additional research on the molecular biology and functional genomics of pear and related species.
Vehicle classification for large scale traffic surveillance videos using Convolutional Neural Networks
Venue: Machine Vision and Applications
Year: 2017

Vehicle classification plays an important role in intelligent transport system. However, because the conventional vehicle classification methods are not robust to variations such as illumination, weather, noise, and the classification accuracy cannot meet the requirements of practical applications. Therefore, a new vehicle classification method using Convolutional Neural Networks is proposed in this paper, which consists of two steps: pre training and fine tuning. In pre training, GoogLeNet is pre trained on ILSVRC 2012 dataset to obtain the initial model with the corresponding connection weights. In fine tuning, the initial model is further fine tuned on VehicleDataset which is constructed with 13,700 images in this paper to obtain the final classification model. All images in the VehicleDataset are extracted from real highway surveillance videos, including variations of illumination, noise, resolution, angle of video cameras and weather. The vehicles are divided into six categories, i.e. bus, car, motorcycle, minibus, truck and van. The performance evaluation is carried out on the VehicleDataset. The experimental results show that the proposed method can avoid the complicated process of manually extracting features and the average classification accuracy is up to 98.26% which is 3.42% higher than the conventional methods using "Feature Classifier"
ASSESSMENT OF TRENDS IN THE APPLICATION OF DIGITAL MARKETING
Venue: Scientific Journal of Polonia University
Year: 2019

One of the conditions for the future development of companies is the identification and use of digital capabilities. In recent years, the environment in which we live and work has changed radically. If the emergence of the Internet was revolutionary in the way we communicate and obtain information, currently the availability and mobility of technologies affects consumers' habits and promotes the transformation of classic business models.  to explore and learn about the development trends of digital marketing.  monographic descriptive method, analysis, synthesis, statistical method. The study based on scientific publications, statistics and other sources of information. The results of the study show that in 2019 digital marketing tools are most actively used: artificial intelligence augmented reality machine learning; video marketing; chatbots, virtual assistants.
Subjective and objective quality assessment of videos in error prone network environments
Venue: Multimedia Tools and Applications
Year: 2015

Compression and transmission are two fundamental stages involved in wireless video communications, each of which may cause degradation of the quality of experience (QoE) of end users by producing compression artifacts and packet loss artifacts, respectively. They have their own unique perceptual influences. To provide insight for designing QoE aware content delivery applications, this paper studies subjective and objective quality of videos containing both types of artifacts. First, subjective quality assessment is conducted, from which interaction between the two types of artifacts during quality perception is investigated. Second, using the subjective data, the performance of the state of the art objective quality metrics is evaluated, with the aim of examining suitability of the existing metrics for their use in error prone video communication applications. Finally, the developed data set is made publicly available for the community.
Exploring the key influencing factors on college students' computational thinking skills through flipped classroom instruction
Venue: International Journal of Educational Technology in Higher Education
Year: 2020

To better understand students' computational thinking skills (CTS) within the context of flipped classroom instruction, a structural equation modeling analysis is employed to examine the key factors that influence student learning and students' CTS when learning through flipped classroom instruction. A total of 406 first year college students responded to the survey. The results of this study show that student to student connectedness, learning motivation, and learning strategy have a direct impact on students' CTS. In addition, indirect effects were found between student to student connectedness and CTS through learning motivation. Indirect effects were also found between learning motivation and CTS through the learning strategy in a flipped classroom instruction situation. The findings of this research have practical implications for instructors, in that they should focus on the key factors that predict students' computational thinking skills.
Assessment of nasal base morphology using new proportion indices in Chinese
Venue: SpringerPlus
Year: 2016

ObjectiveThe aim of this study was to measure the soft tissue of the external nasal base in Han Chinese women and identify indices with which to simplify morphological assessment.MethodsThis study involved 155 Han women in China. The control group comprised 101 women, and the surgical group comprised 54 women. Using measurements and analytical software, we measured the nasal base on photographs in the two groups. The nasal base was also measured preoperatively and postoperatively in the surgical group. Results from the two groups were compared with a t test.ResultsThe proportion index of the nasal tip triangle (upper nasal base) was c prn/a 0.33 0.05 1:3. The proportion index of the nostril trapezoidal (lower nasal base) was c sn/all alr 0.25 0.04 1:4. The proportion indices of the nasal tip triangle and the nostril trapezoidal were larger in the postoperative surgical group than in the control group. Therefore, the nasal base morphology became stereoscopic through surgical correction.ConclusionThe current study provides a credible and objective reference for cosmetic nasal surgery. The proportion indices related to the nasal base can be used to intuitively and vividly ascertain the nasal base morphology.
Solving the RoboSoccer Challenge Problem with UML RT and Papyrus RT
Venue: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS C)
Year: 2019

We demonstrate and evaluate the use of the UMLRT modeling language and an extension of Eclipse PapyrusRT, an open source model driven development tool, to solve the RoboSoccer challenge problem. The problem requires participants to create an executable model of a robotic rover playing soccer in a simulated playing field against another rover. Our extension supports TCP communication which is used to connect the model and the simulation in a bi directional fashion. We evaluate the performance of our model using a set of scenarios, each examining a certain aspect of our proposed solution.
Electronic and Optical Properties of Atomically Precise Graphene Nanoribbons and Heterojunctions
Year: 2015

Among graphene related materials, nanoribbons (GNRs) narrow stripes of graphene have emerged as promising building blocks for nanoelectronic devices. The lateral confinement in GNRs opens a bandgap that sensitively depends on the ribbon width, allowing in principle for the design of GNR based structures with tunable properties. However, structuring with atomic precision is required to avoid detrimental effects induced by edge defects. Recently, we have introduced a versatile route for the bottom up fabrication of GNRs  allowing for the atomically precise synthesis of ribbons with different shapes as well as heterojunctions be tween doped and undoped ribbon segments [2,3] Here, we report on detailed experimental and computational investigations of the structural, electronic and optical properties of selected GNRs and heterojunctions [1 3] For the case of armchair GNRs of width N=7, the electronic band gap and band dispersion have been determined with high precision  Optical characterization has revealed important excitonic effects [6] which are in good agreement with ab initio calculations including many body effects. For the case of heterojunctions, consisting of seamlessly assembled segments of pristine (undoped) graphene nanoribbons and deterministically nitrogen doped graphene nanoribbons, we find a behavior similar to traditional p n junctions. With a band shift of 0.5 eV and an electric field of 2 x 108 V m 1 at the heterojunction, these materials bear a high potential for applications in photovoltaics and electronics. Finally, we will discuss the potential of the bottom up approach with regard to the fabrication of GNRs exhibiting zigzag edges, which are predicted to exhibit spin polarized edge states.
Exploratory versus Explanatory Visual Learning Analytics: Driving Teachers' Attention through Educational Data Storytelling
Year: 2018

From a human centred computing perspective, supporting the interpretation of educational dashboards and visualizations by the people intended to use them exposes critical design challenges that may often be trivialized. Empirical evidence already shows that "usable" visualizations are not necessarily effective from an educational perspective. Since an educator's interpretation of visualized data is essentially the construction of a narrative about student progress, in this paper, we propose the concept of "Educational Data Storytelling" as an approach for explaining student data by aligning educational visualizations with the intended learning design. We present a pilot study that explores the effectiveness of these data storytelling elements based on educator responses to prototypes by analyzing the kinds of stories they articulate, their eye tracking behaviour, and their preferences after inspecting a series of student data visualizations. The dual purpose is to understand the contribution of each visual element for data storytelling, as well as the effectiveness of the enhancements when combined.
Penerapan Kemahiran Generik Oleh Pensyarah Dalam pengajaran Matapelajaran Pendidikan Dan Komputer
Year: 2010

Kajian ini dijalankan bagi mengkaji penerapan kemahiran generik oleh pensyarah dalam pengajaran matapelajaran pendidikan dan komputer di kalangan pelajarpelajar tahun akhir daripada Fakulti Pendidikan iaitu 4 SPP (Sarjana Muda Sains dan Komputer Serta Pendidikan (Fizik) 4 SPK (Sarjana Muda Sains dan Komputer Serta Pendidikan (Kimia) dan 4 SPT (Sarjana Muda Sains dan Komputer Serta Pendidikan (Matematik) Fokus kajian ini adalah tertumpu kepada tujuh kemahiran generik yang terdapat dalam Atribut Graduan UTM iaitu kemahiran berkomunikasi, pemikiran kritis dan kemahiran menyelesaikan masalah, kemahiran kerja berpasukan, pembelajaran berterusan dan pengurusan maklumat, kemahiran keusahawanan, etika dan integriti serta kemahiran kepimpinan dan proaktif. Seramai 68 orang pelajar yang terdiri daripada lelaki dan perempuan terlibat dalam kajian ini. Instrumen kajian yang digunakan ialah borang soal selidik. Nilai kebolehpercayaan alat kajian ini ialah 0.9422 bagi matapelajaran pendidikan dan 0.9721 bagi matapelajaran komputer. Data yang diperolehi dianalisis dengan kaedah statistic deskriptif untuk melihat nilai kekerapan, peratus serta min dengan menggunakan perisian SPSS (Statistical Packages For Social Sciences for windows version 11.5) Keputusan kajian menunjukkan bahawa tahap kemahiran generik yang diterapkan oleh pensyarah bagi kedua dua matapelajaran iaitu pendidikan dan komputer adalah pada tahap yang tinggi bagi ketujuh tujuh kemahiran generik. Kemahiran pembelajaran berterusan dan pengurusan maklumat merupakan antara elemen utama yang diterapkan bagi kedua dua matapelajaran. Manakala kemahiran bagi etika dan moral profesional serta kemahiran keusahawanan merupakan kemahiran generik yang paling akhir sekali diterapkan oleh pensyarah bagi kedua dua matapelajaran Selain daripada itu, dapatan kajian menunjukkan lebih banyak kemahiran generik yang diterapkan oleh pensyarah dalam pengajaran matapelajaran computer berbanding matapelajaran pendidikan.
Fear and Violence as Organizational Strategies: The Possibility of a Derridean Lens to Analyze Extra judicial Police Violence
Venue: Journal of business ethics JBE
Year: 2020

Governments and majoritarian political formations often present police violence as nationalist media spectacles, which marginalize the rights of the accused and normalize the discourse of majoritarian nationalism. In this study, we explore the public discourse of how the State and political actors repeatedly labeled a college going student Ishrat Jahan, who died in a stage managed police killing in India in 2004, as a terrorist. We draw from Derrida's ethics of unconditional hospitality to show that while police violence is aimed at constructing safety for the cultural majority, in reality, it reveals discourses of anxiety and precariousness. The unethicality of police violence lies in the enlargement of recognition in vicariously blaming the person who has been killed for being involved in several terror attacks. We show that police violence is premised on the temporal structure of majoritarian nationalism, the prevalence of gender inequity, and the call to breach the secular framework of law.
Determination of rubella virus specific humoral and cell mediated immunity in pregnant women with negative or equivocal rubella specific IgG in routine screening.
Venue: Journal of clinical virology the official publication of the Pan American Society for Clinical Virology
Year: 2019

Immunity to rubella virus (RV) is commonly determined by measuring specific IgG (RV IgG) However, RV IgG results may be different and even discordant, depending on the assay used. Cell mediated immunity is not routinely investigated for diagnostic purposes.  Our aim was to investigate humoral and cellular immunity of women with negative or equivocal RV IgG before, and after post partum vaccination.  A total of 186 pregnant women were included in the study. During pregnancy, humoral immunity was investigated with two RV IgG immunoassays, an immunoblot and a T cell mediated immunity test. In the post partum vaccination period, measuring RV IgM and RV IgG avidity allowed us to determine whether women raised a primary or a secondary immune response.  Before vaccination, 52.2% women, supposed to be susceptible, had positive anti E1 RV IgG indicating strong evidence of previous exposure to RV. All (100% pregant women who had a positive immunoblot before immunization raised a secondary immune response to vaccination, and 96.8% who had a negative immunoblot before immunization, raised a primary immune response to vaccination. All women who raised a primary immune response after vaccination had negative anti E1 RV IgG and negative cell mediated immunity.  These results indicate that individuals can have evidence of protective immunity against rubella despite negative RV IgG.
Intimate Partner Violence Victimization among Heterosexual, Gay, Lesbian and Bisexual College Students: The Role of Pro Abuse Peer Support
Year: 2019

Most studies of peer support for intimate partner violence (IPV) at U.S. institutions of higher learning focused solely on male assaults on heterosexual women. As well, the bulk of this work only examined how all male social networks perpetuate and legitimate this behavior. Using recent data from a survey administered at a large U.S. residential university, the main objective of this paper is to help fill a research gap by presenting findings on (1) how having peers who have perpetrated dating abuse and (2) peers' encouragement to be abusive to dates contributes to IPV victimization in a campus lesbian, gay, and bisexual (LGB) community. The results show that LGB students report a higher rate of such victimization than heterosexual students and the two aforementioned types of pro abuse peer support significantly predict victimization among both sexual orientation groups.
Less is More: A privacy respecting Android malware classifier using federated learning
Venue: Proc. Priv. Enhancing Technol.
Year: 2021

In this paper we present LiM 'Less is More' a malware classification framework that leverages Federated Learning to detect and classify malicious apps in a privacy respecting manner. Information about newly installed apps is kept locally on users' devices, so that the provider cannot infer which apps were installed by users. At the same time, input from all users is taken into account in the federated learning process and they all benefit from better classification performance. A key challenge of this setting is that users do not have access to the ground truth (i.e. they cannot correctly identify whether an app is malicious) To tackle this, LiM uses a safe semi supervised ensemble that maximizes classification accuracy with respect to a baseline classifier trained by the service provider (i.e. the cloud) We implement LiM and show that the cloud server has F1 score of 95% while clients have perfect recall with only 1 false positive in 100 apps, using a dataset of 25K clean apps and 25K malicious apps, 200 users and 50 rounds of federation. Furthermore, we conduct a security analysis and demonstrate that LiM is robust against both poisoning attacks by adversaries who control half of the clients, and inference attacks performed by an honest but curious cloud server. Further experiments with Ma MaDroid's dataset confirm resistance against poisoning attacks and a performance improvement due to the federation.
Fifth International Workshop on Detection, Classification, Localization and Density Estimation of Marine Mammals using Passive Acoustics
Year: 2013

The goals of this project were to (1) organize and hold the Fifth International Workshop on Detection, Classification, Localization and Density Estimation of Marine Mammals using Passive Acoustics and (2) Compile papers from this workshop for publication in the Journal of the Acoustical Society of America as a Special Issue Passive Detection, Classification, Localization, and Density Estimation of Marine Mammals
Genetic Predictors of Response to Different Medical Therapies in Acromegaly.
Venue: Progress in molecular biology and translational science
Year: 2016

In the era of predictive medicine, management of diseases is evolving into a more personal and individualized approach, as more data are available regarding clinical, biochemical, radiological, molecular, histopathological, and genetic aspects. In the particular setting of acromegaly, which is a rare, chronic, debilitating, and disfiguring disease, an optimized approach deems even more necessary, especially because of an associated increased morbidity and mortality, the impact on patients' quality of life, and the increased cost of frequently necessary life long treatments. In this paper, we review the available studies that address potential genetic influences on acromegaly, their role in the outcome, and response to treatments, as well as their contribution to the risk of developing side effects. We focus mainly on pharmacogenetic factors involved during treatment with dopamine agonists, somatostatin analogs, and pegvisomant. Specifically, mutations in dopamine receptors, somatostatin receptors, growth hormone receptors, and metabolic pathways involved in growth hormone action; polymorphisms in the insulin like growth factor and the insulin like growth factor binding proteins; and polymorphisms in other genes that may determine differences in the frequency of developing adverse events.
Development and Validation of a UPLC ESI MS Method for Quantitation of the Anti Alzheimer Drug Galantamine and other Amaryllidaceae Alkaloids in Plants
Year: 2020

Our study aimed at the development of a method based on ultra performance liquid chromatography coupled to mass spectrometry (UPLC ESI MS) using selected ion monitoring for the simultaneous quantitation of the alkaloids galantamine, pseudolycorine, sanguinine and narciclasine in Amaryllidaceae species (Hippeastrum elegans, Habranthus cf. irwinianus, Hymenocallis littoralis and Griffinia nocturna) The alkaloids were extracted from dried and ground bulbs (100 mg) using liquid liquid microextraction followed by solid phase extraction in cation exchange cartridges. The quantification method showed good linearity (correlation coefficient, R 0.9968) and selectivity for a run time of 10 min. All values were within the acceptable limits for recovery (87.5 96.2% interday (coefficient of variation, CV% 1.3 8.4% and intraday precision (CV% 5.7 8.1% except narciclasine (70% The limits of detection and quantification were 5 100 and 20 350 ng mL, respectively. Our method demonstrated to be rapid, sensitive and reliable, therefore appropriate for being employed in the prospection of new source of galantamine and other alkaloids.