nils-herrmann/clean_scirepeval huggingface dataset:
Aggregated squeeze and excitation transformations for densely connected convolutional networks
Year: 2021

Recently, convolutional neural networks (CNNs) have achieved great success in computer vision, but suffer from parameter redundancy in large scale networks. DenseNet is a typical CNN architecture, which connects each layer to every other layer to maximize feature reuse and network efficiency, but it can become parametrically expensive with the potential risk of overfitting in deep networks. To address these problems, we propose a lightweight Densely Connected and Inter Sparse Convolutional Networks with aggregated Squeeze and Excitation transformations (DenisNet SE) in this paper. First, Squeeze and Excitation (SE) blocks are introduced in different locations of the dense model to adaptively recalibrate channel wise feature responses. Meanwhile, we propose the Squeeze Excitation Residual (SERE) block, which applies residual learning to construct identity mapping. Second, to construct the densely connected and inter sparse structure, we further apply the sparse three layer bottleneck layer and grouped convolutions, which increase the cardinality of transformations. Our proposed network is evaluated on three highly competitive object recognition benchmark tasks (CIFAR 10, CIFAR 100, and ImageNet) and achieves better performance than the state of the art networks while requiring fewer parameters.
The appreciation of mineral element accumulation level in some herbaceous plants species by ICP AES method
Venue: Environmental science and pollution research international
Year: 2010

IntroductionFrom the metallurgic industry zone of Dambovita County, we harvested and analyzed seven herbaceous plants species (Lolium perenne, Festuca pratensis, Stipa capillata, Agrostis alba, Cynodon dactylon, Luzula campestris, and Agrostis tenuis) to establish the heavy metal accumulation levels in these species.Materials and methodThe heavy metal contents (for Cr, Mn, Zn, Sr, Cu, Ba, and Sn) were determined by analyzing the dry matter with an inductively coupled plasma atomic emission spectrometer. This method has detection limits of 0.4 0.6 mg/kg for the analyzed metals. The heavy metal concentrations in plants harvested from the industrial area are in milligram per kilogram of dry matter and ranged from 10.03 to 191.98 mg/kg of dry matter for Cr, 165.89 to 1,103.92 mg/kg of dry matter for Mn, 62.09 to 921.67 mg/kg of dry matter for Zn, 29.21 to 50.12 mg/kg of dry matter for Sr, 0.99 to 113.83 mg/kg of dry matter for Cu, 58.66 to 133.51 mg/kg of dry matter for Ba, and 8.38 to 276.44 mg/kg of dry matter for Sn. The heavy metal accumulation levels in the studied species of plants were calculated by the rapport between the concentration level of the metal in plant samples and the level of the same metal in the soil, near the radicular system for each species of plants.ResultsThe highest accumulation levels were found in A. alba for Cr (267.69% in L. perenne for Mn (51.45% Sr (114.35% and Ba (60.81% and in C. dactylon for Zn (136.62% Cu (97.65% and F. pratensis for Sn (704.00%
Mythic Women in Victorian England: Cassandra and Florence Nightingale
Year: 2008

This paper seeks to examine the transmission of "Cassandra" in Victorian England as a prelude to subsequent reworkings that consider the myth the epitome of the silenced discourse of women. Florence Nightingale's relation to the Cassandra myth both in her personal life and in her essay "Cassandra" (1852) configures the heroine as a model to the vindication of the rights of women. Modern constructions of the myth read it as an archetype of the appropriation of the patriarchal discourse by gender minorities.
Multi scroll chaos generator using current conveyors
Venue: 2009 International Multimedia, Signal Processing and Communication Technologies
Year: 2009

A novel and simple technique is presented to realize a five scroll chaos generator circuit using second generation current conveyors. A novel sinusoidal oscillator is first realized using second generation dual output current conveyors (DOCCIIs) and grounded passive components, which is then employed for the implementation of the five scroll chaos generator. The technique basically employs a CCII based differentiator and a frequency dependent negative resistance (FDNR) composite to introduce the non linearity into the sinusoidal oscillator to modify it as a chaos generator. The proposed chaos generator exhibits a five scroll chaotic voltage output. It enjoys attractive features such as use of DOCCIIs and grounded passive components. Moreover, due to the presence of all grounded passive components, the circuit is very much suitable for monolithic implementation in contemporary IC technologies. The proposed chaos generator is designed and verified using PSpice simulation and the results thus obtained confirm the theory.
Festo Building Automation
Year: 2018

Industry 4.0 e domotica, applicazione nell'edificio Festo delle soluzioni di automation building ed energy saving. Approfondire gli spetti di programmazione software dei nostri dispositivi: PLC, Unita di valvole con PLC incorporato, pannelli HMI, sensori. In particolare si tratta di gestire e misurare i consumi energetici dell'azienda e automatizzare le fonti energetiche, produttive e funzionali dell'edificio Festo, creando delle maschere di facile accesso a dati e processi relativi.
Induced Altruism in Religious, Military, and Terrorist Organizations
Year: 2013

Human altruism in non kin, unreciprocated contexts is difficult to understand in evolutionary terms. However, neo Darwinian theories remain a potentially useful means of illuminating this behavior. In particular, induced altruism, wherein cues of genetic relatedness are manipulated to elicit costly behaviors for the benefit of non kin, appears highly relevant. This article reviews cross cultural data on several examples of extremely costly altruism vows of celibacy, suicide bombings, and combat suicide as exhibited in organizational and institutional contexts. Two predictions are used to test the relevance of induced altruism to the reinforcement of altruistic commitment to these behaviors. First, different organizations requiring costly sacrifice by their members should employ similar practices involving patterns of association, phenotypic similarity, and kinship terminology that are associated with kin cue manipulation. Second, these organizational practices should be adopted as a consequence of recruit pools growing increasingly larger and, thus, less genetically related. There appears to be support for both predictions, suggesting that cross cultural analyses could provide an effective avenue through which to test this and other evolutionary theories related to human unreciprocated altruism in non kin contexts.
In Dressing Acoustic Map by Low Cost Piezoelectric Transducer
Venue: IEEE Transactions on Industrial Electronics
Year: 2020

The main difficulty in the grinding process is to identify the correct moment to dress the grinding wheel. Therefore, the cutting tool (grinding wheel) must be monitored. In this context, an innovative technique was developed in this article to obtain an image from the surface of the grinding wheel during the dressing process, based on acoustic images acquired through a piezoelectric diaphragm or piezoelectric buzzer. To this end, scratches (faults) are made on a grinding wheel, after which tests are performed at various dressing depths, and signals are collected by an acoustic emission (AE) sensor and a piezoelectric diaphragm. Based on these signals, frequency bands are evaluated to obtain acoustic images that would accurately and clearly represent the scratches imprinted on the grinding wheel. Finally, the performance of the two sensors (AE sensor and piezoelectric diaphragm) are compared, and the results are analyzed in light of the dressing conditions under study. The results indicate that the piezoelectric diaphragm is as efficient in obtaining acoustic maps of the grinding wheel surface as the AE sensor and in some machining conditions, it provides superior results to those obtained when monitoring the tool with the AE sensor.
Visual analytics of 3D LiDAR point clouds in robotics operating systems
Year: 2020

This paper presents visual analytics of 3D LiDAR point clouds in robotics operating system. In this study, experiment on Simultaneous Localization and Mapping (SLAM) using point cloud data derived from the Light Detection and Ranging (LiDAR) technology is conducted. We argue that one of the weaknesses of the SLAM algorithm is in the localization process of the landmarks. Existing algorithms such as Grid Mapping and Monte Carlo have limitations in dealing with 3D environment data that have led to less accurate estimation. Therefore, this research proposes the SLAM algorithm based on Real Time Appearance Based (RTAB) and makes use of the Red Green Blue (RGB) camera for visualisation. The algorithm was tested by using the map data that was collected and simulated on the Robot Operating System (ROS) in Linux environment. We present the results and demonstrates that the map produced by RTAB is better compared to its counterparts. In addition, the probability for the estimated location is improved which allows for better vehicle maneuverability.
Travel Modes Recognition Method Based on Mobile Phone Signaling Data
Year: 2019

With the acceleration of urbanization and motorization, the characteristics and rules of residents' travel are constantly changing. Analysis of this information provides reference and guidance for transportation planning, urban management and residents' travel. With the development of mobile positioning and wireless communications, GPS signals, mobile phone signaling data and other data have established the foundation for obtaining wide area travel information. This paper proposes a travel mode recognition method based on mobile phone signaling data. In the data preprocessing stage, the method effectively identifies and processes exceptions such as "ping pong switching" effect and "data drift" effect through time space threshold filtering, and accurately recognizes key points in the trajectory segmentation stage through feature analyses. In the recognition stage, this method utilizes the road network constraints to improve the calculation of features. The experimental results show that the method can effectively recognize the mode of residents' travel according to the mobile phone signaling data.
Epidemiologia da sifilis em individuos com 50 anos ou mais em municipio do interior goiano
Year: 2019

Adultos em processo de envelhecimento continuam a ser sexualmente ativos, estando suscetiveis as infeccoes sexualmente transmissiveis (IST) devido a alteracoes biologicas, aspectos comportamentais e estruturais da sociedade e dos servicos de saude, sendo poucos os estudos que avaliam a prevalencia dessas infeccoes nessa populacao. Este estudo teve como objetivo investigar o perfil soroepidemiologico da infeccao pelo Treponema pallidum em individuos com idade maior ou igual a 50 anos residentes em uma cidade do interior do Brasil. Trata se de estudo observacional, de corte transversal, analitico, realizado em agosto de 2017, no municipio de Goiandira, Goias, Brasil. Participaram do estudo 339 individuos com idade maior ou igual a 50 anos, residentes ha pelo menos seis meses na cidade do estudo. Todos os individuos foram entrevistados e testados para sifilis por meio de teste treponemico (teste rapido TR) As amostras reagentes TR foram submetidas ao VDRL. Do total de individuos recrutados, a maioria era do sexo feminino (60,2% tinha entre 50 e 59 anos (42,2% era casada (55,2% praticava algum tipo de religiao (94,1% autodeclarou se nao branca (57,2% e mais da metade (55,2% tinha mais de 5 anos de estudo. Estimou se uma prevalencia de 7,4% (n=25; IC95% 4,7 10,6) a partir do teste rapido e 1,5% (n=5; IC95% 0,63 3,41) ao VDRL. Na analise de regressao logistica multipla, a historia de prisao (OR ajustado: 4,23) e o relato de violencia sexual e/ou fisica (OR ajustado: 3,29) foram independentemente associados a positividade para sifilis no teste rapido. Os resultados deste estudo reforcam a necessidade da inclusao de individuos com idade maior ou igual a 50 anos nas politicas publicas para deteccao precoce, tratamento e prevencao das IST, principalmente, da sifilis. A melhoria nos indicadores socioeconomicos brasileiros e, conseguinte, nas condicoes de vida da populacao brasileira em geral, pode refletir na reducao das taxas de incidencia de sifilis.
Probiotic low fat fermented goat milk with passion fruit by product: In vitro effect on obese individuals' microbiota and on metabolites production.
Venue: Food research international
Year: 2020

This study aimed to evaluate the impact of a two week treatment period with probiotic low fat fermented goat milk by Lactobacillus casei Lc 1, supplemented with passion fruit by product (1% on the modulation of gut microbiota from obese individuals using the Simulator of Human Intestinal Microbial Ecosystem (SHIME) system. The effects were carried out through the study of gut microbiota composition, using 16S rRNA next generation sequencing, quantification of short chain fatty acids (SCFA) and ammonium ions. The microbiota composition changed across three vessels representing the colon regions, because of fermented milk treatment. Fermented goat milk administration caused a reduction of bacteria belonging to genera Prevotella, Megamonas and Succinivibrio, which can produce SCFA, and an increase of Lactobacillus and Bifidobacterium genera in all simulated colon regions. There was no effect on SCFA and on ammonium ions concentration during treatment period. Fermented milk shifted the obese donors' microbiota without changing metabolites production. It happens, possibly, due to a balance in abundances among bacterial genera that can produce or not SCFA, and among bacterial genera with high or low proteolytic activity. Our outcomes help to clarify the effects of the ingestion of a probiotic low fat fermented goat milk product on colon microbiota composition.
Temporal trends of surface urban heat islands and associated determinants in major Chinese cities.
Venue: The Science of the total environment
Year: 2017

There are many studies focusing on spatial variations of surface urban heat islands (SUHIs) in literature. In this study, MODIS land surface temperature (LST) data and China's Land Use/Cover Datasets (CLUDs) were used to examine the temporal trends of SUHIs in 31 major Chinese cities during 2001 2015 using three indicators: SUHI intensity (SUHII) area of the SUHI (AreaSUHI) and percentage of area with increasing SUHII (PAISUHII) Correlation analyses between SUHII and background (rural) LST (extracted from MODIS LST) vegetation coverage (reflected by MODIS EVI data) and anthropogenic heat release (reflected by nighttime light data) were performed from temporal rather than spatial perspectives. Our findings showed that the SUHII and AreaSUHI in urbanized areas increased significantly in most cities in summer days, whereas they increased significantly in approximately half and more than half of the cities in summer and winter nights, respectively. In summer days, summer nights and winter nights, the PAISUHII was approximately 80% and over 50% in union areas and the 20km buffer, respectively. Correlation analyses indicated that the SUHII in stable urban areas was negatively correlated with the background LST in summer and winter days for most cities, especially in northern China. A reduction in vegetation contributed to the increasing SUHII in urbanized areas in summer days and nights. The increasing anthropogenic heat release was an important factor for increases in the SUHII in urbanized areas.
How scientific mobility can help current and future radiology research: a radiology trainee's perspective
Venue: Insights into Imaging
Year: 2019

One of the ways in which modern radiology is manifesting itself in higher education and research is through the increasing importance of scientific mobility. This article seeks to provide an overview and a prospective of radiology fellows in their last year of training about the current trends and policy tools for promoting mobility among young radiologists, especially inside the European Union. Nowadays, the need to promote international cooperation is even greater to ensure that the best evidence based medical practices become a common background of a next cross border generation of radiologists. Organisations such as the European Society of Radiology (ESR) and the Radiological Society of North America (RSNA) are called upon to play as guarantors of the training of young radiologists building know how and world class excellence. Today, it is not just being certified radiologist that matters, the place where the training was done plays an important role in enhancing chances when applying for a high level job or fellowship. The article argues that the mobility of radiology trainees is an indispensable prerequisite to face new challenges, including the application of artificial intelligence to medical imaging, which will require a large multicentre collaboration.
Dual Learning for Semi Supervised Natural Language Understanding
Venue: IEEE/ACM Transactions on Audio, Speech, and Language Processing
Year: 2020

Natural language understanding (NLU) converts sentences into structured semantic forms. The paucity of annotated training samples is still a fundamental challenge of NLU. To solve this data sparsity problem, previous work based on semi supervised learning mainly focuses on exploiting unlabeled sentences. In this work, we introduce a dual task of NLU, semantic to sentence generation (SSG) and propose a new framework for semi supervised NLU with the corresponding dual model. The framework is composed of dual pseudo labeling and dual learning method, which enables an NLU model to make full use of data (labeled and unlabeled) through a closed loop of the primal and dual tasks. By incorporating the dual task, the framework can exploit pure semantic forms as well as unlabeled sentences, and further improve the NLU and SSG models iteratively in the closed loop. The proposed approaches are evaluated on two public datasets (ATIS and SNIPS) Experiments in the semi supervised setting show that our methods can outperform various baselines significantly, and extensive ablation studies are conducted to verify the effectiveness of our framework. Finally, our method can also achieve the state of the art performance on the two datasets in the supervised setting.
Non denoting Terms in Fuzzy Logic: An Initial Exploration
Venue: EUSFLAT/IWIFSGN
Year: 2017

We introduce two variants of first order fuzzy logic that can deal with non denoting terms, or terms that lack existing referents, e.g. Pegasus, the current king of France, the largest number, or 0/0. Logics designed for this purpose in the classical setting are known as free logics. In this paper we discuss the features of free logics and select the options best suited for fuzzification, deciding on the so called dual domain semantics for positive free logic with truth value gaps and outer quantifiers. We fuzzify the latter semantics in two levels of generality, first with a crisp and subsequently with a fuzzy predicate of existence. To accommodate truth valueless statements about nonexistent objects, we employ a recently proposed first order partial fuzzy logic with a single undefined truth value. Combining the dual domain semantics with partial fuzzy logic, we define several kinds of 'inner domain' quantifiers, relativized by the predicate of existence. Finally, we make a few observations on some of the resulting rules of free fuzzy quantification that illustrate the differences between the two proposed systems of free fuzzy logic and their well known non free or non fuzzy variants.
Evolution et differences dans l'ajustement des couples au cancer du sein role des facteurs psychosociaux et influence reciproque des deux membres de la dyade
Year: 2010

Les premiers mois qui suivent un diagnostic de cancer du sein representent un temps critique pour les patientes et leur partenaire. Les objectifs de cette etude sont de decrire l'evolution de variables psychosociales et d'examiner les effets individuels et dyadiques de ces variables sur l'ajustement des couples. Methode 83 patientes atteintes d'un cancer et 76 couples touches par cette maladie ont ete rencontres au debut, au milieu et a la fin du traitement, puis 1, 3 et 6 mois apres la fin du traitement. Ils ont complete des mesures de controle emotionnel, de detresse psychologique, de qualite de vie, d'ajustement dyadique, de soutien social et de coping face a la maladie.  Les resultats montrent que les sujets rapportent des niveaux eleves d'anxiete, avec un court declin pour les patientes durant le traitement. Le soutien social, l'esprit combatif et les preoccupations diminuent avec le temps.En utilisant l'Actor and Partner Interdependence Model, nos resultats revelent que la detresse psychologique, le controle emotionnel, le soutien social negatif et les strategies de coping emotionnelles ont des effets acteurs et partenaires negatifs sur l'ajustement des patientes et des conjoints, et que l'ajustement dyadique et le soutien social ont des effets acteurs et partenaires positifs sur ce meme ajustement. De plus, la detresse psychologique des patientes, le soutien social negatif et les strategies de coping emotionnelles jouent un role positif et significatif sur l'ajustement des partenaires. Le soutien social a des effets acteurs et partenaires sur le choix des strategies de coping.  Ces resultats montrent l'importance de combiner les approches transactionnelle individuelle et systemique. Les resultats suggerent egalement que les couples pourraient beneficier d'interventions qui augmentent le soutien social et les competences de communication et qui aident a gerer la detresse psychologique.