nils-herrmann/clean_scirepeval huggingface dataset:
Effects of Grapevine Red Blotch Disease on Cabernet franc Vine Physiology, Bud Hardiness, and Fruit and Wine Quality
Venue: American Journal of Enology and Viticulture
Year: 2020

The effects of grapevine red blotch disease (GRBD) on vine performance were studied in a Cabernet franc vineyard in the Okanagan Valley, British Columbia, over two years. Vines with GRBD had lower pruning mass, were less winter hardy than non GRBD vines, and produced lower yields comprising fewer clusters and larger berries with more seeds. GRBD reduced photosynthesis and stomatal conductance for asymptomatic leaves through the growing season, and more so for symptomatic leaves. Leaf fall was delayed or incomplete for GRBD vines. GRBD reduced berry soluble solids, anthocyanins, yeast assimilable nitrogen, and tannins and increased berry pH and titratable acidity. Wine made from GRBD fruit had reduced anthocyanin and alcohol, lighter color, and more yellow hue. Effects of GRBD on wine sensory characteristics included less body and aftertaste, lower intensity of black and red fruit character, and increased acidity and intensity of vegetal character. Inclusion of low amounts, up to 20% of GRBD fruit in wine reduced red fruit character in the first year and increased astringency and vegetal character in the second year. The deleterious effects of GRBD on yield, fruit composition for winemaking, and bud hardiness constitute a serious threat to grapegrowing regions in Canada and the United States. The degree of these impacts would be difficult to mitigate through management practices, which underscores the importance of planting virus tested vines to prevent the introduction and spread of GRBD.
Adaptive Structural Fingerprints for Graph Attention Networks
Venue: ICLR
Year: 2020

Many real world data sets are represented as graphs, such as citation links, social media, and biological interaction. The volatile graph structure makes it non trivial to employ convolutional neural networks (CNN's) for graph data processing. Recently, graph attention network (GAT) has proven a promising attempt by combining graph neural networks with attention mechanism, so as to achieve massage passing in graphs with arbitrary structures. However, the attention in GAT is computed mainly based on the similarity between the node content, while the structures of the graph remains largely unemployed (except in masking the attention out of one hop neighbors) In this paper, we propose an "ADaptive Structural Fingerprint" (ADSF) model to fully exploit both topological details of the graph and content features of the nodes. The key idea is to contextualize each node with a weighted, learnable receptive field encoding rich and diverse local graph structures. By doing this, structural interactions between the nodes can be inferred accurately, thus improving subsequent attention layer as well as the convergence of learning. Furthermore, our model provides a useful platform for different subspaces of node features and various scales of graph structures to `cross talk' with each other through the learning of multi head attention, being particularly useful in handling complex real world data. Encouraging performance is observed on a number of benchmark data sets in node classification.
PCRNet: Point Cloud Registration Network using PointNet Encoding
Venue: ArXiv
Year: 2019

PointNet has recently emerged as a popular representation for unstructured point cloud data, allowing application of deep learning to tasks such as object detection, segmentation and shape completion. However, recent works in literature have shown the sensitivity of the PointNet representation to pose misalignment. This paper presents a novel framework that uses the PointNet representation to align point clouds and perform registration for applications such as tracking, 3D reconstruction and pose estimation. We develop a framework that compares PointNet features of template and source point clouds to find the transformation that aligns them accurately. Depending on the prior information about the shape of the object formed by the point clouds, our framework can produce approaches that are shape specific or general to unseen shapes. The shape specific approach uses a Siamese architecture with fully connected (FC) layers and is robust to noise and initial misalignment in data. We perform extensive simulation and real world experiments to validate the efficacy of our approach and compare the performance with state of art approaches.
Secure Dual Functional Radar Communication Transmission: Exploiting Interference for Resilience Against Target Eavesdropping
Year: 2021

We study security solutions for dual functional radar communication (DFRC) systems, which detect the radar target and communicate with downlink cellular users in millimeter wave (mmWave) wireless networks simultaneously. Uniquely for such scenarios, the radar target is regarded as a potential eavesdropper which might surveil the information sent from the base station (BS) to communication users (CUs) that is carried by the radar probing signal. Transmit waveform and receive beamforming are jointly designed to maximize the signalto interference plus noise ratio (SINR) of the radar under the security and power budget constraints. We apply a Directional Modulation (DM) approach to exploit constructive interference (CI) where the known multiuser interference (MUI) can be exploited as a source of useful signal. Moreover, to further deteriorate the eavesdropping signal at the radar target, we utilize destructive interference (DI) by pushing the received symbols at the target towards the destructive region of the signal constellation. Our numerical results verify the effectiveness of the proposed design showing a secure transmission with enhanced performance against benchmark DFRC techniques.
Virtual machine resource scheduling algorithm for cloud computing based on auction mechanism
Year: 2016

To overcome the problem of virtual machine (VM) scheduling in cloud computing, a novel adaptive VM resource scheduling algorithm based on auction mechanism is presented by considering multiple factors including network bandwidth and auction deadline. First, the sequencing of the clients' bids is conducted in the given competition deadline. Second, the client group is screened and corresponding VM resource is configured according to the minimum costs of the cloud service providers. Finally, the final payment price can be figured by considering the levels of average payments and competitive payments, so that the tasks clients request can be completed with the given VM resource. The simulation experimental results show that the proposed algorithm can effectively enhance the quality of service of the cloud environment, the profits of cloud service providers and the resource utilization rate of VM.
Un mundo que se mueve con el aprendizaje servicio
Year: 2014

El termino <aprendizaje servicio> es relativamente nuevo. No sera hasta la decada de los noventa cuando empiece a usarse y se vaya introduciendo en el vocabulario pedagogico. Ahora bien, aunque no se utilizase este termino, lo cierto es que, en la practica, diferentes centros escolares ya desarrollaban proyectos <solidarios> como por ejemplo la recogida de alimentos, ropa o juguetes para las personas necesitadas del entorno inmediato o mas lejano. Pero estaban pocos vinculados al curriculo que se desarrollaba en las aulas y no se tenia en cuenta su impacto social. En la actualidad, hay muchas experiencias que se llevan a cabo o se han llevado a cabo empleando esta metodologia educativa. En la gran mayoria de paises en los que se han desarrollado, han sido impulsadas por amplias redes sociales y educativas
Community based elderly care services in China: an analysis based on the 2018 wave of the CLHLS Survey
Year: 2020

Community based elderly care services play an important role in dealing with population aging. Based data from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey we found that overall there was high demand for community based elderly care services, but insufficient supply, resulting in unmet needs. The greatest demand was for medical care and nursing services and these were generally more accessible compared to other services. The imbalance between available supply and elderly demand was greatest for personal care and psychological consulting services. Additionally, there were obvious imbalances of supply and demand for particular groups of the elderly population. In terms of demand, the young old living in eastern and western China or urban areas had stronger demand for community based elderly care services. Elderly people with serious disabilities or low income, or living in rural areas and towns had more demand for home visit medical services, while the elderly with the ability to care for themselves or high incomes needed more social and entertainment services. With respect to inadequate supply, the demands for community based elderly care services of the low income elderly living in rural areas and towns or in western China were more likely to be unmet. Our results indicated that appropriate services should be provided by government agencies and institutions to meet the needs of various groups. It is also important to increase accessibility to community based elderly care services as well as to guarantee an equitable distribution of supply.
Early Functional Result of Arthroscopic Bankart Repair: The Rajavithi Hospital's Experience
Year: 2010

To study functional result and redislocation rate of the shoulder after arthroscopic Bankart repair using suture anchors.  Sixteen patients who underwent arthroscopic Bankart repair at Rajavithi Hospital between Jan 2007 and Dec 2008 were enrolled in this study. Demographic data and functional score were collected using the methods of UCLA (University of California, Los Angeles) and ASES (American Shoulder and Elbow Surgeons) Preoperative and postoperative scores were compared using statistical analysis.  Postoperative functional scores were statistically better than preoperative scores in all patients. No redislocation was observed. There was no correlation between preoperative number of dislocations and functional result one year after surgery.  The functional result after arthroscopic Bankart repair using suture anchors is excellent with proper selection and technique. There was no correlation between preoperative number of dislocations and functional result.  Anterior shoulder dislocation, Bankart, Suture anchor, functional score, UCLA, ASES
Globalization and its (Dis )Content: Trade Shocks and Voting Behavior
Year: 2015

We identify the causal effect of trade integration with China and Eastern Europe on voting in Germany from 1987 to 2009. Looking at the entire political spectrum, we find that only extreme right parties respond significantly to trade integration. Their vote share increases with import competition and decreases with export access opportunities. We unpack mechanisms using reduced form evidence and a causal mediation analysis. Two thirds of the total effect of trade integration on voting appears to be driven by observable labor market adjustments, primarily changes in manufacturing employment. These results are mirrored in an individual level analysis in the German Socioeconomic Panel.
Hybrid Approach for Pixel Wise Semantic Segmentation Using SegNet and SqueezeNet for Embedded Platforms
Year: 2019

Recent research on convolutional neural network (CNN) has seen advances in accuracy improvements of object detection, recognition, tracking, and segmentation applications. Many CNN architectures have been developed in the last five years to achieve good amount of accuracy. To deploy trained CNN models on FPGA, Raspberry Pi and other hardware devices with reduced model size is a key area for research. In this paper, a hybrid approach for pixel level semantic segmentation using SqueezeNet and SegNet is proposed. The hybrid architecture enhances the accuracy to 76%
Life cycle analysis of biogas production from anaerobic digestion of palm oil mill effluent
Year: 2020

This study aims to evaluate the cradle to gate life cycle environmental performance of biogas production by the anaerobic digestion (AD) of POME. The life cycle assessment (LCA) was performed using the ReCiPe 2016 method and SimaPro 8.5 software. This study emphasizes on global warming (GWP) land use change (LUC) and water consumption (WCP) due to their significant contributions. It was found that the total characterization factor for human health damage by WCP and GWP ranges from 2.49 x 10 8 to 3.36 x 10 3 DALY per m 3 of consumption and 1.45 x 10 5 to 1.42 x 10 3 DALY per kg of emission, respectively. The total characterization factor for ecosystem damage by WCP, LUC, and GWP ranges from 6.76 x 10 15 to 2.04 x 10 5 PDF*m 2 *yr*m 3 4.92 x 10 8 to 4.78 x 10 6 PDF*m 2 *yr*m 2 and 1.19 x 10 12 to 4.28 x 10 6 PDF*m 2 *yr*kg 1 respectively. It can be concluded that waste derived biogas is a promising technology that can be used to meet the national goals for a sustainable renewable energy. This study can be a starting point to highlight the sustainability of biogas production for a proper waste management and energy recovery in Malaysia context.
A Systematic Evaluation of Shallow Convolutional Neural Network on CIFAR Dataset
Year: 2019

Convolutional Neural Network (CNN) classifier is a very popular classifier used to solve many problems, including image classification and object recognition. The CNN classifier usually improved by designing a deeper and bigger classifier which needs more memory and computational power to run the classifier. In this paper, we analyze and optimize the use of small and shallow CNN classifier on CIFAR dataset. Karpathy ConvNetJS CIFAR10 model was used as a base network of our classifier and extended by adding max min pooling method. The max min pooling is used to explore the negative and positive response of the convolution process which in theory will be trained the classifier more effectively. We choose several different configurations to analyze the effectiveness of the classifier by combining the training algorithm, batch normalization configuration, weights initialization methods, dropout regularization configuration, and heavy data augmentation. To ensure that the classifier we designed is still small and shallow CNN classifier, we limit the maximum number of layers in our CNN classifier to 15 layers. Experiments on CIFAR10 and CIFAR100 dataset shows that by compacting the kernel on each layer, the classifier can achieve good accuracy and comparable with another state of the art classifier with a relatively same number of layers with an error rate of 6.99% on the CIFAR10 dataset and 29.41% on the CIFAR100 dataset.
Generating Curves of Minimal Ruled Real Hypersurfaces in a Nonflat Complex Space Form
Venue: Canadian Mathematical Bulletin
Year: 2019

We first provide a necessary and sufficient condition for a ruled real hypersurface in a nonflat complex space form to have constant mean curvature in terms of integral curves of the characteristic vector field on it. This yields a characterization of minimal ruled real hypersurfaces by circles. We next characterize the homogeneous minimal ruled real hypersurface in a complex hyperbolic space by using the notion of strong congruency of curves.
Citations and certainty: a new interpretation of citation counts
Venue: Scientometrics
Year: 2019

We report that the rate of hedging in citing sentences for biomedical papers is inversely related to the citations received by the papers as measured by the number of citances in citing papers. Hedging is often regarded as an expression of uncertainty in rhetorical studies of scientific text. Citing sentences, or citances, are retrieved from the PubMed Central database for papers having 10 or more citances, and the percentage of citances containing hedging words is plotted against the number of citances for the papers, which is closely related to the citation count. Hedging rates are computed separately for method and non method papers, the latter being more frequently hedged. Rates of hedging are found to be higher for papers with fewer citances, suggesting that the certainty of scientific results is directly related to citation frequency. Similarly, early citations made soon after publication are more hedged than later citations. The implications of this finding for the interpretation of citation counts are discussed, and the directions for future research.
HYDRO NET: Hydro telemetric Network for surface waters Innovations and Prospects
Year: 2021

The Hydro telemetric Network, HYDRO NET, is a pilot streamflow monitoring network established and operated by the Institute for Environmental Research and Sustainable Development of the National Observatory of Athens (NOA) within the HYDRO NET Project (2018 2021) HydroTelemetric Network of Surface Waters: Gauging instruments, smart technologies, installation and operation. An aim of the project is that HYDRO NETs' principles of design, installation and operation will guide establishing of hydrometric networks in the Hellenic territory. HYDRO NET provides a comprehensive framework for collection, transmission, handling and free use of data that combines technological innovations and advanced scientific methods with efficient use of resources. It particularly responds to the need of estimating the discharge at crosssections of streams where no prior data exist by inexpensive means.
Estimating Vehicle State by GPS/IMU Fusion with Vehicle Dynamics
Venue: 2013 International Conference on Unmanned Aircraft Systems (ICUAS)
Year: 2013

In this paper, a low cost navigation system with high integrity and reliability is proposed. A high integrity estimation filter is proposed to obtain a high accuracy state estimate. The filter utilizes a vehicle velocity constraint measurement to enhance the accuracy of the estimate. Two estimation filters, the extended Kalman filter (EKF) and the extended information filter (EIF) are designed and compared to obtain the estimate of the vehicle state. An instrumentation system that consists of a microcontroller, GPS receiver, IMU, velocity encoder, and Zigbee transceiver is used. The microcontroller provides a vehicle navigation solution at 50 Hz by fusing the measurements of the IMU and GPS receiver using the proposed filter design. Extensive experimental tests are conducted to verify the accuracy of the proposed algorithm. These results are processed with and without the velocity constraints. The estimation accuracy improvement with the addition of the velocity constraints is shown. A more than 16 reduction in the computational time is demonstrated when using the EIF in comparison to the EKF approach.
Investigating gen z students' perceptions on the use of instagram to improve vocabulary
Year: 2018

Instagram as their learning environment platform to improve their vocabulary. The research design was looked at by case study research method. The total of sample were 9 students in MAN KOTA Palangka Raya at X Mipa 2, XI Bahasa, XII Mipa 6. The instruments of collecting data were used questionnaires, Interview, and Observation. The data were analyzed by combining the three instrument finding The results finding covered: 1) Instagram was included as the part of their learning style, which was called by Edutainment. Instagram was claimed by Gen Z students as the part of their learning styles. It has made them felling comfortable in learning English through Instagram. The students thought if the process of following some accounts has produced some input from every English creator contents' posting.(2) Gen Z students were preferred using English video content to others media in Instagram. It was also found that Instagram was considered an interesting English vocabulary input. ABSTRAK Studi ini bertujuan untuk mengetahui persepsi Gen Z dalam penggunaan mereka terhadap Instagram yang mana sebagai platform untuk menambah kosakata. Penelitian ini telah dilihat dari sisi metode study kasus. Total partisipan adalah 9 orang yang bersekolah di MAN KOTA Palangka Raya dan berada di kelas X Mipa 2, XI Bahasa, XII Mipa 6. Instrumen yang digunakan adalah angket, wawancara, dan observasi. Data diambil dari proses menggabungkan 3 bagian dari Instrumen. Hasil penemuan menyangkut: 1) peningkatan kosakata melewati Instagram adalah bagian dari gaya belajar Gen Z yaitu Edutainment. Mereka mengatakan bahawa Instagram bagian dari cara belajar mereka. Hal itu mengolah Instagram sebagau platform yang nyaman untuk meningkatkan kosakata. Mereka berfikir bahwa dengan mengikuti akun Bahasa Inggris mereka mendapatkan Input. (2) Gen Z lebih menyukai content Bahasa inggris berbantuk video daripada media yang lain di Instagram. itu juga menunjukan bahwa Instagram menjadi cara input yang menarik.
La proyeccion internacional de las Comunidades Autonomas en la Ley de la Accion y del Servicio Exterior del Estado (LAESE) Autonomia territorial y unidad de accion de la politica exterior
Year: 2014

En marzo de 2014 ha entrado en vigor la Ley de la Accion y del Servicio Exterior del Estado (LAESE) Se trata de una iniciativa legislativa dir igida a modernizar y coordinar la politica exterior de Espana que ha sido promovida por el actual gobierno del Partido Popular y que ha sido aprobada con el unico respaldo de su grupo parlamentario que cuenta con mayoria absoluta en las Cortes. El principal objetivo perseguido por la ley, garantizar el princ ipio de unidad de accion del Estado, ha situado a l as Comunidades Autonomas en el centro del debate polit ico. La mayor parte de las criticas efectuadas por los grupos de oposicion se han centrado en este asp ecto destacando su caracter "recentralizador" Cabe discutir, por tanto, si la ley recorta las competen cias autonomicas en materia exterior. El presente a rticulo analiza el tratamiento que reciben las Comunidades Autonomas en el texto de la ley y llega a la conclusion de que no recorta competencias autonomic as, aunque identifica diversas carencias que hacen dudar de la efectividad que puede alcanzar la nueva norma.
Heritable Connective Tissue Disorders in Childhood: Increased Fatigue, Pain, Disability and Decreased General Health
Venue: Genes
Year: 2021

Heritable Connective Tissue Disorders (HCTD) show an overlap in the physical features that can evolve in childhood. It is unclear to what extent children with HCTD experience burden of disease. This study aims to quantify fatigue, pain, disability and general health with standardized validated questionnaires.  This observational, multicenter study included 107 children, aged 4 18 years, with Marfan syndrome (MFS) 58% Loeys Dietz syndrome (LDS) 7% Ehlers Danlos syndromes (EDS) 8% and hypermobile Ehlers Danlos syndrome (hEDS) 27% The assessments included PROMIS Fatigue Parent Proxy and Pediatric self report, pain and general health Visual Analogue Scales (VAS) and a Childhood Health Assessment Questionnaire (CHAQ)  Compared to normative data, the total HCTD group showed significantly higher parent rated fatigue T scores (M 53 (SD 12) p 0.004, d 0.3) pain VAS scores (M 2.8 (SD 3.1) p 0.001, d 1.27) general health VAS scores (M 2.5 (SD 1.8) p 0.001, d 2.04) and CHAQ disability index scores (M 0.9 (SD 0.7) p 0.001, d 1.23) HCTD subgroups showed similar results. The most adverse sequels were reported in children with hEDS, whereas the least were reported in those with MFS. Disability showed significant relationships with fatigue (p 0.001, rs 0.68) pain (p 0.001, rs 0.64) and general health (p 0.001, rs 0.59)  Compared to normative data, children and adolescents with HCTD reported increased fatigue, pain, disability and decreased general health, with most differences translating into very large sized effects. This new knowledge calls for systematic monitoring with standardized validated questionnaires, physical assessments and tailored interventions in clinical care.