nils-herrmann/clean_scirepeval huggingface dataset:
Effect of No tillage and Minimum Tillage Cultivation on Yield and Quality of Rice and Economic Benefit Analysis
Year: 2014

In order to explore the effect of different cultivation conditions on yield and quality of rice,taking two different types of rice as materials(Longdao 5which was semi erect panicle variety and Dongnong 428 which was curve panicle variety)that cultivated in the second accumulated temperature region of Heilongjiang province.Contrast test was conducted to analyze the economic benefit of no tillage,minimum tillage and conventional tillage.The results showed that no tillage and minimum tillage cultivation had negative impact on yield and quality,and the effect of no tillage cultivation was greater than minimum tillage.The economic benefit of minimum tillage cultivation was greater than no tillage and conventional tillage.The economic benefit of no tillage cultivation was not great due to its great effect on yield.
PENGEMBANGAN SISTEM PAKAR MENDETEKSI PENYAKIT PENCERNAAN MENGGUNAKAN METODE NAIVE BAYES BERBASIS WEB
Year: 2016

Sistem pencernaan pada tubuh manusia berfungsi menerima makanan dan mencerna menjadi nutrisi yang diserap oleh tubuh untuk disalurkan ke organ organ oleh darah. Penyakit pencernaan merupakan penyakit yang menyerang organ pencernaan sehingga mengganggu kerja sistem pencernaan. Beberapa faktor yang dapat menyebabkan penyakit pencernaan antara lain makanan yang kurang baik, keseimbangan nutrisi, pola makan yang tidak teratur, dan infeksi serta kelainan pada organ pencernaan. Pengembangan sistem pakar untuk mendeteksi penyakit pencernaan dimaksud untuk membantu dan mempermudah dalam mengenali dan mendeteksi adanya gangguan pada sistem pencernaan. Metode yang digunakan adalah metode Naive Bayes dalam menganalisa gejala gejala penyakit pada pasien sehingga dapat diketahui penyakit pencernaan yang diderita. Sistem pakar dalam penelitian ini berupa aplikasi berbasis web yang dibuat menggunakan HTML 5, PHP dan My SQL. Aplikasi berbasis web memungkinkan aplikasi dapat dijalankan di berbagai platform sistem operasi karena aplikasi ini nantinya dijalankan atau dibuka menggunakan browser. Keuntungan lainnya adalah bahwa aplikasi dapat dihosting di sebuah webserver sehingga dapat dibuka oleh siapa saja yang memerlukannya.
Turn OFF Transient Analysis of Superjunction IGBT
Venue: IEEE Transactions on Electron Devices
Year: 2019

A turn OFF transient analysis of the superjunction (SJ) insulated gate bipolar transistor (IGBT) based on an analytical model as a function of structural parameters is presented in this paper. The physical phenomenon dependent on the doping density of the n /p pillar of the SJ IGBT could be explained using the analytical model to predict the static and transient characteristics. From this model, tradeoff between turn OFF loss and ON state voltage has been obtained, as verified by the TCAD simulations with a good agreement.
On Demand Biodegradable Boron Nitride Nanoparticles for Treating Triple Negative Breast Cancer with Boron Neutron Capture Therapy.
Venue: ACS nano
Year: 2019

Compared with photon induced binary cancer therapy, such as photothermal therapy (PTT) and photodynamic therapy (PDT) boron neutron capture therapy (BNCT) emerges as an alternative noninvasive treatment strategy that could overcome the shallow penetration of light. One key factor in performing successful BNCT is to accumulate a sufficient amount of B 10 >20 ppm) within tumor cells, which has been a long standing challenge for small molecule based boron drugs. Boron nitride nanoparticles (BNNPs) are promising boron carriers due to their high boron content and good biocompatibility, as certain types of BNNPs can undergo rapid degradation under physiological conditions. To design an on demand degradable boron carrier, BNNPs were coated by a phase transitioned lysozyme (PTL) that protects BNNPs from hydrolysis during blood circulation and can be readily removed by vitamin C after neutron capture therapy. According to PET imaging, the coated BNNPs exhibited high tumor boron accumulation while maintaining a good tumor to nontumor ratio. Tail vein injections of vitamin C were followed by neutron irradiation, and BNNPs were found to be rapidly cleared from major organs according to ex vivo ICP OES analysis. Compared with the control group, animals treated with BNCT showed suppression of tumor growth, while almost negligible side effect was observed. This strategy not only utilized the high boron content of BNNPs but also successfully performed an on demand degradation of BNNPs to avoid the potential toxicity caused by the long term accumulation of nanoparticles.
Do selfie expectancies and social appearance anxiety predict adolescents' problematic social media use?
Venue: Comput. Hum. Behav.
Year: 2020

In contemporary society, social media use has become a widespread daily activity, especially among adolescents, who are often engaged in visual content sharing. Taking and posting selfies on social media is one of the most popular activities associated with teens' social media use, representing a useful tool to increase their self presentation via others' approval. However, higher exposure to visual content on social media might lead to more social comparisons and appearance concerns reinforcement. Therefore, body image based digital activities might allow dissatisfied individuals with their appearance to create and manage their best online self presentation, leading to potentially problematic social media use. The present study evaluated the unexplored predictive role of selfie expectancies and social appearance anxiety on problematic social media use (referred to by some scholars as 'social media addiction' as well as examining the possible gender differences between boys and girls. A total of 578 adolescents (mean age 16.1 years) participated in the study. Results showed that boys' anxiety concerning self appearance and the expectancy that selfies could improve their self confidence were both predictors of their problematic social media use. On the contrary, despite a higher level of social appearance anxiety among girls, it did not influence their social media use. The study demonstrated novel findings concerning new gender related associations in relation to problematic social media use, social appearance anxiety, and teens' expectancies underlying selfie behavior.
Selected Papers from 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2019)
Venue: International journal of environmental research and public health
Year: 2020

Recently, healthcare has undergone a sector wide transformation thanks to advances in computing, networking technologies, big data, and artificial intelligence. Healthcare is not only changing from being reactive and hospital centered to preventive and personalized, but it is also changing from being disease focused to well being centered. Healthcare systems, as well as fundamental medicine research, are becoming smarter and enabled in biomedical engineering. This special issue on "Selected Papers from 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare, and Sustainability (IEEE ECBIOS 2019)" selected nine excellent papers from 160 papers presented at IEEE ECBIOS 2019 on the topics of environmental health sciences and public health. Our aim is to encourage scientists to publish their experimental and theoretical research to promote scientific predictions and impact assessments of global change and development.
Repressive Coping and Theories about Psychotherapy
Year: 2016

Repressive coping style has been found to be related to an interpretive bias of negative information. The current study looks to explore differences in understanding toward psychotherapy among groups of four coping styles as classified by Weinberger, Schwartz and Davidson. Participants answered four questionnaires measuring reactions to psychotherapy; attitudes to, and beliefs about, psychotherapy; effectiveness of cures; prognosis of psychological problems; as well as questions regarding their contact with psychotherapy and demographics. Parallel analyses identified two clearly interpretable factors for each of the four questionnaires. A series of one way ANOVAs indicated differences among groups in understanding of psychotherapy. Moderated hierarchical regressions show that demographic variables, contact with psychotherapy, trait anxiety, social desirability and the interaction between trait anxiety and social desirability predicted these differences. Limitations and implications were discussed.
Semantic preview benefit in eye movements during reading: A parafoveal fast priming study.
Venue: Journal of experimental psychology. Learning, memory, and cognition
Year: 2010

Eye movements in reading are sensitive to foveal and parafoveal word features. Whereas the influence of orthographic or phonological parafoveal information on gaze control is undisputed, there has been no reliable evidence for early parafoveal extraction of semantic information in alphabetic script. Using a novel combination of the gaze contingent fast priming and boundary paradigms, we demonstrate semantic preview benefit when a semantically related parafoveal word was available during the initial 125 ms of a fixation on the pretarget word (Experiments 1 and 2) When the target location was made more salient, significant parafoveal semantic priming occurred only at 80 ms (Experiment 3) Finally, with short primes only (20, 40, 60 ms) effects were not significant but were numerically in the expected direction for 40 and 60 ms (Experiment 4) In all experiments, fixation durations on the target word increased with prime durations under all conditions. The evidence for extraction of semantic information from the parafoveal word favors an explanation in terms of parallel word processing in reading.
Predicting sleep apnea from 3 dimensional face photography.
Venue: Journal of clinical sleep medicine JCSM official publication of the American Academy of Sleep Medicine
Year: 2020

Craniofacial anatomy is recognised as an important predisposing factor in the pathogenesis of obstructive sleep apnea (OSA) This study used 3D facial surface analysis of linear and geodesic (shortest line between points over a curved surface) distances to determine the combination of measurements that best predicts presence and severity of OSA. Methods 3D face photographs were obtained in 100 adults without OSA (apnea hypopnea index, AHI<5 events/hr) 100 with mild OSA (5<=AHI<15 events/hr) 100 with moderate OSA (15<=AHI<30 events/hr) and 100 with severe OSA (AHI>=30 events/hr) Measurements of linear distances and angles, and geodesic distances were obtained between 24 anatomical landmarks from the 3D photographs. The accuracy with which different combinations of measurements could classify an individual as having OSA or not was assessed using Linear Discriminant Analyses and Receiver Operator Characteristic analyses. These analyses were repeated using different AHI thresholds to define presence of OSA.  Relative to linear measurements, geodesic measurements of craniofacial anatomy improved the ability to identify individuals with and without OSA (classification accuracy 86% and 89% respectively, p<0.01) A maximum classification accuracy of 91% was achieved when linear and geodesic measurements were combined into a single predictive algorithm. Accuracy decreased when using AHI thresholds =10 events/hr and =15 events/hr to define OSA although greatest accuracy was always achieved using a combination of linear and geodesic distances.  This study suggest that 3D photographs of the face have predictive value for OSA and that geodesic measurements enhance this capacity.
Water quality anomaly detection method based on RBF neural network and wavelet analysis
Year: 2013

Fast and accurate detection of nature or artificial water contamination events plays a vital role in protecting the water environment and public health.To solve the problem that conventional water quality anomaly detection algorithms have bad performance under high background noise,an algorithm based on RBF neural network and wavelet analysis is proposed.By introducing RBF neural network to predict future water quality values using previous observations of the water quality,wavelet de noising residual time series is obtained by comparing prediction value with real value,then using wavelet de noising in sliding windows,if the new residual at one time is greater than specific threshold/baseline,water quality is claimed abnormal.Using the online monitoring ammonia nitrogen value as the research object,it proves that the proposed algorithm has lower false alarm rate(FAR)and higher probability of detection(PD)comparing with time series increments.
Polylactic acid/sodium alginate/hydroxyapatite composite scaffolds with trabecular tissue morphology designed by a bone remodeling model using 3D printing
Venue: Journal of Materials Science
Year: 2019

AbstractThe article presents a new methodology that employs 3D printing technology to generate a microporous composite material of polylactic acid, sodium alginate and hydroxyapatite, whose microstructure is designed by means of the 3D numerical solution from a mathematical model. This model represents the spatio temporal dynamics of the interaction between osteoblasts and osteoclasts in the bone remodeling. The microporosity of composite material mimics the structure of human trabecular bone. This material has density with microporosity pretty close to the one that is exhibited by the natural bone tissue. Close relationship between the material processing and its elasticity module is observed. When subjecting this composite material to a simulated body fluid treatment, the mechanical resistance to compression is increased due to induced mineralization of hydroxyapatite crystals on its surface. The methodology shows potential to generate structures that allow the control of the composite material properties. The material presents a microporosity that has morphological and chemical properties suitable for future applications in tissue engineering as bone scaffold.
Radial Graph Convolutional Network for Visual Question Generation
Venue: IEEE Transactions on Neural Networks and Learning Systems
Year: 2021

In this article, we address the problem of visual question generation (VQG) a challenge in which a computer is required to generate meaningful questions about an image targeting a given answer. The existing approaches typically treat the VQG task as a reversed visual question answer (VQA) task, requiring the exhaustive match among all the image regions and the given answer. To reduce the complexity, we propose an innovative answer centric approach termed radial graph convolutional network (Radial GCN) to focus on the relevant image regions only. Our Radial GCN method can quickly find the core answer area in an image by matching the latent answer with the semantic labels learned from all image regions. Then, a novel sparse graph of the radial structure is naturally built to capture the associations between the core node (i.e. answer area) and peripheral nodes (i.e. other areas) the graphic attention is subsequently adopted to steer the convolutional propagation toward potentially more relevant nodes for final question generation. Extensive experiments on three benchmark data sets show the superiority of our approach compared with the reference methods. Even in the unexplored challenging zero shot VQA task, the synthesized questions by our method remarkably boost the performance of several state of the art VQA methods from 0% to over 40% The implementation code of our proposed method and the successfully generated questions are available at https:/github.com/Wangt CN/VQG GCN.
Composition of Strawberry Floral Volatiles and their Effects on Behavior of Strawberry Blossom Weevil, Anthonomus rubi
Venue: Journal of chemical ecology
Year: 2020

The strawberry blossom weevil (SBW) Anthonomus rubi, is a major pest in strawberry fields throughout Europe. Traps baited with aggregation pheromone are used for pest monitoring. However, a more effective lure is needed. For a number of pests, it has been shown that the attractiveness of a pheromone can be enhanced by host plant volatiles. The goal of this study was to explore floral volatile blends of different strawberry species (Fragaria x ananassa and Fragaria vesca) to identify compounds that might be used to improve the attractiveness of existing lures for SBW. Floral emissions of F. x a. varieties Sonata, Beltran, Korona, and of F. vesca, were collected by both solid phase microextraction (SPME) and dynamic headspace sampling on Tenax. Analysis by gas chromatography/mass spectrometry showed the floral volatiles of F. x ananassa. and F. vesca were dominated by aromatic compounds and terpenoids, with 4 methoxybenzaldehyde (p anisaldehyde) and a muurolene the major compounds produced by the two species, respectively. Multi dimensional scaling analyses separated the blends of the two species and explained differences between F. vesca genotypes and, to some degree, variation between F. x ananassa varieties In two choice behavioral tests, SBW preferred odors of flowering strawberry plants to those of non flowering plants, but weevils did not discriminate between odors from F. x ananassa and F. vesca flowering plants. Adding blends of six synthetic flower volatiles to non flowering plants of both species increased the preference of SBW for these over the plants alone. When added individually to non flowering plants, none of the components increased the preference of SBW, indicating a synergistic effect. However, SBW responded to 1,4 dimethoxybenzene, a major component of volatiles from F. viridis, previously found to synergize the attractiveness of the SBW aggregation pheromone in field studies.
Pengaruh Multimedia Interaktif Terhadap Pembelajaran Huruf Hijaiyah Pada Siswa Tunarungu Ringan Kelas IX di SLB B Dan Autis TPA Jember
Year: 2020

Penelitian ini bertujuan untuk untuk mengetahui pengaruh multimedia interaktif terhadap pembelajaran huruf hijaiyah pada siswa tunarungu ringan kelas IX di SLB B dan Autis TPA Jember. Penelitian ini menggunakan metode Single Subject Research (SSR) desain A B. Subjek penelitian ini adalah siswa yang berinisial BG. Penelitian dilakukan dalam 10 sesi yang dilakukan pada dua fase yaitu fase baseline (A) adalah 60% 66% 66% 70% dan 60% Sedangkan pada fase intervensi (B) antara lain 77% 73% 80% 83% 83% Dari data yang diperoleh kemudian dianalisis menggunakan analisis dalam kondisi dan analisis antar kondisi. Selisih perubahan level dari fase baseline (A) sampai awal fase intervensi (B) meningkat +17).Maka diketahui bahwa ada pengaruh multimedia interaktif terhadap pembelajaran huruf hijaiyah pada siswa tunarungu ringan kelas IX di SLB B dan Autis TPA Jember.
The Persuasive Power of Virtual Reality: Effects of Simulated Human Distress on Attitudes towards Fire Safety
Venue: PERSUASIVE
Year: 2010

Although virtual reality (VR) is a powerful simulation tool that can allow users to experience the effects of their actions in vivid and memorable ways, explorations of VR as a persuasive technology are rare. In this paper, we focus on different ways of providing negative feedback for persuasive purposes through simulated experiences in VR. The persuasive goal we consider concerns awareness of personal fire safety issues and the experiment we describe focuses on attitudes towards smoke in evacuating buildings. We test two techniques: the first technique simulates the damaging effects of smoke on the user through a visualization that should not evoke strong emotions, while the second is aimed at partially reproducing the anxiety of an emergency situation. The results of the study show that the second technique is able to increase user's anxiety as well as producing better results in attitude change.
On the capitalization and cultivation of social capital: Towards a neo capital general science?
Year: 2008

Bourdieu's [Bourdieu, P. 1986. The Forms of Capital. In: Richardson, J.G. (Ed. Handbook of Theory and Research for the Sociology of Education. Greenwood Press, New York, pp. 241 258] seminal definition of social capital as "the aggregate of the actual or potential resources" is reflected in older definitions, as well as in many current within sociology, e.g. [Portes, A. 2000. The two meanings of social capital. Sociological Forum 15 (1) 1 12] and organization [Adler, P. Kwon, S. W. 2002. Social capital: prospects for a new concept. Academy of Management Journal 27 (1) 17 40] The definition is interesting, because it directs a dual focus on social capital as both immediately and potentially productive resources, i.e. assets that can be immediately capitalized by individuals as well as 'cultivated' for future use. We argue that to further operationalize this concept we must distinguish between actual/potential social capital, within a neo capital framework that unifies the existing 'plethora' of capitals.
Improved MPPT Algorithm for Photovoltaic Systems Based on the Earthquake Optimization Algorithm
Year: 2020

Nowadays, owing to the growing interest in renewable energy, Photovoltaic systems (PV) are responsible of supplying more than 500,000 GW of the electrical energy consumed around the world. Therefore, different converters topologies, control algorithms, and techniques have been studied and developed in order to maximize the energy harvested by PV sources. Maximum Power Point Tracking (MPPT) methods are usually employed with DC/DC converters, which together are responsible for varying the impedance at the output of photovoltaic arrays, leading to a change in the current and voltage supplied in order to achieve a dynamic optimization of the transferred energy. MPPT algorithms such as, Perturb and Observe (P&O) guarantee correct tracking behavior with low calibration parameter dependence, but with a compromised relation between the settling time and steady state oscillations, leading to a trade off between them. Nevertheless, proposed methods like Particle Swarm Optimization (PSO) based techniques have improved the settling time with the addition of lower steady state oscillations. Yet, such a proposal performance is highly susceptible and dependent to correct and precise parameter calibration, which may not always ensure the expected behavior. Therefore, this work presents a novel alternative for MPPT, based on the Earthquake Optimization Algorithm (EA) that enables a solution with an easy parameters calibration and an improved dynamic behavior. Hence, a boost converter case study is proposed to verify the suitability of the proposed technique through Simscape Power Systems(tm) simulations, regarding the dynamic model fidelity capabilities of the software. Results show that the proposed structure can easily be suited into different power applications. The proposed solution, reduced between 12% and 36% the energy wasted in the simulation compared to the P&O and PSO based proposals.
Autoencoder Based Image Compression: Can the Learning be Quantization Independent?
Venue: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2018

This paper explores the problem of learning transforms for image compression via autoencoders. Usually, the ratedistortion performances of image compression are tuned by varying the quantization step size. In the case of autoen coders, this in principle would require learning one transform per rate distortion point at a given quantization step size. Here, we show that comparable performances can be obtained with a unique learned transform. The different rate distortion points are then reached by varying the quantization step size at test time. This approach saves a lot of training time.