bluuebunny/crossref_metadata_2025 huggingface dataset:
Different mutation and crossover set of genetic programming in an automated machine learning
Authors: Masrom Suraya , Mohamad Masurah , Mohamed Hatim Shahirah , Baharun Norhayati , Omar Nasiroh , Abd. Rahman Abdullah Sani
Published: August 2020

Automated machine learning is a promising approach widely used to solve classification and prediction problems, which currently receives much attention for modification and improvement. One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm.  As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. This paper presents the effect of different pairs of mutation and crossover rates on the automated machine learning performances that tested on different types of datasets. The finding can be used to support the theory that higher crossover rates used to improve the algorithm accuracy score while lower crossover rates may cause the algorithm to converge at earlier stage.
Long-term load forecasting using grey wolf optimizer -least-squares support vector machine
Authors: Yasin Z. M. , Salim N. A. , Aziz N.F.A. , Ali Y.M. , Mohamad H.
Published: August 2020

Long term load forecasting data is important for grid expansion and power system operation. Besides, it also important to ensure the generation capacity meet electricity demand at all times. In this paper, Least-Square Support Vector Machine (LSSVM) is used to predict the long-term load demand. Four inputs are considered which are peak load demand, ambient temperature, humidity and wind speed. Total load demand is set as the output of prediction in LSSVM. In order to improve the accuracy of the LSSVM, Grey Wolf Optimizer (GWO) is hybridized to obtain the optimal parameters of LSSVM namely GWO-LSSVM. Mean Absolute Percentage Error (MAPE) is used as the quantify measurement of the prediction model. The objective of the optimization is to minimize the value of MAPE. The performance of GWO-LSSVM is compared with other methods such as LSSVM and Ant Lion Optimizer – Least-Square Support Vector Machine (ALO-LSSVM). From the results obtained, it can be concluded that GWO-LSSVM provide lower MAPE value which is 0.13% as compared to other methods.
Comparison between SVM and KNN classifiers for iris recognition using a new unsupervised neural approach in segmentation
Authors: Ohmaid Hicham , Eddarouich S. , Bourouhou A. , Timouya M.
Published: August 2020

Un système biométrique d'identification et d'authentification permet la reconnaissance automatique d'un individu en fonction de certaines caractéristiques ou caractéristiques uniques qu'il possède. La reconnaissance de l'iris est une méthode d'identification biométrique qui applique la reconnaissance des formes aux images de l'iris. En raison des motifs épigénétiques uniques de l'iris, la reconnaissance de l'iris est considérée comme l'une des méthodes les plus précises dans le domaine de l'identification biométrique. L'algorithme de segmentation proposé dans cet article commence par déterminer les régions de l'œil à l'aide d'une approche neuronale non supervisée, après que le contour de l'œil a été trouvé à l'aide du bord de Canny, la transformation de Hough est utilisée pour déterminer le centre et le rayon de la pupille et de l'iris. . Ensuite, la normalisation permet de transformer la région de l'iris circulaire segmenté en une forme rectangulaire de taille fixe en utilisant le modèle de feuille de caoutchouc de Daugman. Une transformation en ondelettes discrètes (DWT) est appliquée à l'iris normalisé pour réduire la taille des modèles d'iris et améliorer la précision du classificateur. Enfin, la base de données URIBIS iris est utilisée pour la vérification individuelle de l'utilisateur en utilisant le classificateur KNN ou la machine à vecteur de support (SVM) qui, sur la base de l'analyse du code de l'iris lors de l'extraction des caractéristiques, est discutée.
Intelligent reputation system for safety messages in VANET
Authors: Samara Ghassan
Published: August 2020

Nowadays Vehicle Ad - hoc Nets (VANET) applications have become very important in our lives because VANET provides drivers with safety messages, warnings, and instructions to ensure drivers have a safe and enjoyable journey. VANET Security is one of the hottest topics in computer networks research, Falsifying VANET system information violates VANET safety objectives and may lead to hazardous situations and loss of life. In this paper, an Intelligent Reputation System (IRS) aims to identify attacking vehicles will be proposed; the proposed system will rely on opinion generation, trust value collection, traffic analysis, position based, data collection, and intelligent decision making by utilizing the multi-parameter Greedy Best First algorithm. The results of this research will enhance VANET's safety level and will facilitate the identification of misbehaving vehicles and their messages. The results of the proposed system have also proven to be superior to other reputational systems.
Comparison of daily rainfall forecasting using multilayer perceptron neural network model
Authors: Arleena Masngut Mazwin , Ismail Shuhaida , Mustapha Aida , Mohd Yasin Suhaila
Published: August 2020

Rainfall is important in predicting weather forecast particularly to the agriculture sector and also in environment which gives great contribution towards the economy of the nation. Thus, it is important for the hydrologists to forecast daily rainfall in order to help the other people in the agriculture sector to proceed with their harvesting schedules accordingly and to make sure the results of their crops would be satisfying. This study is set to forecast the daily rainfall future value using ARIMA model and Artificial Neural Network (ANN) model. Both method is evaluated by using Mean Absolute Error (MAE), Mean Forecast Error (MFE), Root Mean Squared Error (RMSE) and coefficient of determination (R ). The results showed that ANN model has outperformed results than ARIMA model. The results also showed ANN has under-forecast the daily rainfall data by 2.21% compare to ARIMA with over-forecast of -3.34%. From this study, it shows that the ANN (6,4,1) model produces better results of MAE (8.4208), MFE (2.2188), RMSE (34.6740) and R (0.9432) compared to ARIMA model. This has proved that ANN model has outperformed ARIMA model in predicting daily rainfall values.
Machine learning-based technique for big data sentiments extraction
Authors: Seman Noraini , Atiqah Razmi Nurul
Published: August 2020

A huge amount of data is generated every minute for social networking and content sharing via Social media sites that can be in a form of structured, unstructured or semi-structured data.  One of the largest used social media sites is Twitter, where each and every day millions of data generated in the form of unstructured tweets. Tweets or opinions of the people can be used to extract sentiments of the people. Sentiment analysis is beneficial for organizations to improve their products and make required changes on demand to increase their profit. In this paper, three machine learning algorithms Support Vector Machine (SVM), Decision Trees (DT), and Naive Bayes (NB) for classifying sentiments of twitters data. The purpose of this research is to compare the outcomes of these algorithms to identify best machine learning method which gives most accurate and efficient results for classifying twitter data. Our experimental result shows that same preprocessing methods on a different dataset affect similarly the classifiers performance. After analyzing the results it is observed that SVM provides 64.96%, 71.26% and 91.25% precision which is better than other two algorithms. Also, overall Recall and F-measure rate of SVM is greater than NB and DT for three datasets. However, it is important to further study current available preprocessing techniques that help us to improve results of various classifiers.
Application of artificial neural network to predict amount of carried weight of cargo train in rail transportation system
Authors: Nasuha Zubir Siti , Shariff S. Sarifah Radiah , Meriam Zahari Siti
Published: August 2020

Derailments of cargo have frequently occurred in Malaysian train services during the last decade. Many factors contribute to this incident, especially its total amount of carried weight. It is found that severe derailments cause damage to both lives and properties every year. If the amount of carried weight of cargo train could be accurately forecasted in advance, then its detrimental effect could be greatly minimized. This paper presents the application of Artificial Neural Network (ANN) to predict the amount of carried weight of cargo train, with KTMB used as the study case. As there are many types of cargo being carried by KTMB, this study focuses only on cement that being carried in twelve (12) different routes. In this study, Artificial Neural Network (ANN) has been incorporated for developing a predictive model with three (3) different training algorithms, Levenberg-Marquardt (LM), Quick Propagation (QP) and Conjugate Gradient Descent (CGD). The best training algorithm is selected to predict the amount of carried weight by comparing the error measures of all the training algorithm which are Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). The obtained results indicated that the ANN technique is suitable for predicting the amount of carried weight.
Intelligent cluster connectionist recommender system using implicit graph friendship algorithm for social networks
Authors: Ojugo Arnold Adimabua , Otakore Debby Oghenevwede
Published: August 2020

Implicit clusters are formed as a result of the many interactions between users and their contacts. Online social platforms today provide special link-types that allows effective communication. Thus, many users can hardly categorize their contacts into groups such as “family”, “friends” etc. However, such contact clusters are easily represented via implicit graphs. This has arisen the need to analyze users’ implicit social graph and enable the automatic add/delete of contacts from/to a group via a suggestion algorithm – making the group creation process dynamic (instead of static, where users are manually added or removed). The study implements the friend suggest algorithm, which analyzes a user’s implicit social graph to create custom contact group using an interaction-based metric to estimate a user’s affinity to his contacts and groups. The algorithm starts with a small seed set of contacts – already categorized by a user as friends/groups; And, then suggest other contacts to be added to a group. The result inherent demonstrates the importance of both the implicit group relationships and the interaction-based affinity in suggesting friends.
Towards a semantic integration of data from learning platforms
Authors: Mrhar Khaoula , Douimi Otmane , Abik Mounia , Benabdellah Naoual Chaouni
Published: August 2020

Nowadays, there is a huge production of Massive Open Online Courses MOOCs from universities around the world. The enrolled learners in MOOCs skyrocketed along with the number of the offered online courses. Of late, several universities scrambled to integrate MOOCs in their learning strategy. However, the majority of the universities are facing two major issues: firstly, because of the heterogeneity of the platforms used (e-learning and MOOC platforms), they are unable to establish a communication between the formal and non-formal system; secondly, they are incapable to exploit the feedbacks of the learners in a non-formal learning to personalize the learning according to the learner’s profile. Indeed, the educational platforms contain an extremely large number of data that are stored in different formats and in different places. In order to have an overview of all data related to their students from various educational heterogeneous platforms, the collection and integration of these heterogeneous data in a formal consolidated system is needed. The principal core of this system is the integration layer which is the purpose of this paper. In this paper, a semantic integration system is proposed. It allows us to extract, map and integrate data from heterogeneous learning platforms “MOOCs platforms, elearning platforms” by solving all semantic conflicts existing between these sources. Besides, we use different learning algorithms (Long short-term memory LSTM, Conditional Random Field CRF) to learn and recognize the mapping between data source and domain ontology.
Design and implementation of wireless system for vibration fault detection using fuzzy logic
Authors: Ali Lilo Moneer , Jasem Mahammad Maath
Published: August 2020

This paper aims at constructing the wireless system for fault detecting and monitoring by computer depending on the wireless and fuzzy logic technique. Wireless applications are utilized to identify, classify, and monitor faults in the real time to protect machines from damage .Two schemes were tested; first scheme fault collected X-Y-Z-axes mode while the second scheme collected Y-axis mode, which is utilized to protect the induction motor (IM) from vibrations fault. The vibration signals were processed in the central computer to reduce noise by signal processing stage, and then the fault was classified and monitored based on Fuzzy Logic (FL). The wireless vibration sensor was designed depending on the wireless techniques and C++ code. A fault collection, noise reduction, vibration fault classification and monitoring were implemented by MATLAB code.  In the second scheme the processed real time was reduced to 60%, which is included collection, filtering, and monitoring fault level. Results showed that the system has the ability to early detect the fault if appears on the machine with time processing of 1.721s. This work will reduce the maintenance cost and provide the ability to utilize the system with harsh industrial applications to diagnose the fault in real time processing.
Parallel processing using big data and machine learning techniques for intrusion detection
Authors: Boukhalfa Alaeddine , Hmina Nabil , Chaoni Habiba
Published: August 2020

Currently, information technology is used in all the life domains, multiple devices produce data and transfer them across the network, these transfers are not always secured, they can contain new menaces invisible by the current security devices. Moreover, the large amount and variety of the exchanged data cause difficulties related to the detection time. To solve these issues, we suggest in this paper, a new approach based on storing the large amount and variety of network traffic data employing Big Data techniques, and analyzing these data with Machine Learning algorithms, in a distributed and parallel way, in order to detect new hidden intrusions with less processing time. According to the results of the experiments, the detection accuracy of the Machine Learning methods reaches 99.9 %, and their processing time has been reduced considerably by applying them in a parallel and distributed way, which proves that our proposed model is effective for the detection of new intrusions.
Source localization of tone perception in alcoholic brain indexed by standardized low-resolution electromagnetic tomography
Authors: Sirisapsombat Vachrintr , Sittiprapaporn Phakkharawat , Chaiyasut Chaiyavat , Sirilun Sasithorn , Chaisricharoen Roungsan , Nararatwanchai Thamthiwat
Published: August 2020

Alcohol consumption is known to associate with several diseases, injuries, and social problems. The long-term, excessive alcohol exposure can lead to liver cirrhosis and pancreatitis. After repating alcohol exposure, alcohol dependence would develop an individually behavioral, cognitive, and physiological phenomenon. Previous studies indicated that although the left hemisphere was selectively employed for processing linguistic information irrespectively of acoustic cues or subtype of phonological unit, the right hemisphere was employed for prosody-specific cues. These previous studies provided the impetus for future investigations of tone perception and temporal integration differences in tonal brain speaker who had long-term, excessive alcohol exposure such as Thai in the present study. The present study used both an auditory mismatch negativity (MMN) component of event-related potentials (ERPs) recording and the standardized Low-resolution Electromagnetic Tomography (sLORETA) techniques to measure the degree of cortical activation and to localize the brain area contributing to the scalp recorded auditory MMN component during the passive oddball paradigm. Ten healthy right-handed adults participated in this study. The findings showed that both [kha:] - mid tone perception and [khá:] - high tone perception elicited a strong MMN between 215-284 ms with reference to the standard-stimulus ERPs. Source localization was obtained in the middle temporal gyrus of the right hemisphere for both [kha:] - mid tone perception and [khá:] - high tone perception. Automatic detection of tone perception in alcoholic tonal brain is a useful index of language universal auditory memory traces.
Processos de criação em dublagem
Authors: Wodevotzky Robson Kumode , Baitello Junior Norval
Published: August 2020

Dublagem é a substituição de diálogos da faixa sonora original pela voz de atores (dubladores) em outro idioma, que pretendem sincronizar o novo som na imagem pré-existente sem que haja alteração na construção de sentido da obra. O presente artigo procura cartografar os elementos constitutivos dos processos de criação do dublador e introduzir uma reflexão sobre a dinâmica de repetição do intérprete, em seus aspectos formais e imaginativos, sob a luz dos processos de preparação do ator de Constantin Stanislavski, da teoria da imagemde Norval Baitello Jr. e do conceito de repetição trabalhado por Sören Kierkegaard.
Analysis on the perspective and value of the “cultivation” documentary images
Authors: Hsiao Weiting
Published: August 2020

As a multi-sensory expression, moving images have a stronger ability to express beyond time and space. The creator uses the camera to depict history through images and sounds, so that the audience can reflect more on the process of watching. From "The Up series" to other similar long-term videos, they have become important chronicles of the era. This article will focus on the relationship between documentary images and history, and the characteristics of "cultivation" formed by these long-term images. Analyze and interpret its value from a multi-dimensional perspective. The context of the development of the times and the critical observation of the creators have led to the creation of works that reflect on social change. This kind of creation has also become a reference mode for many countries, bringing about a rich and dynamic cultural exchange based on cross-regional cultural differences, which has contributed to the development of the globalization era.
Cultura visual y música popular
Authors: Sedeño-Valdellós Ana
Published: August 2020

La perspectiva de la ecología de los medios, que asume que los objetos mediáticos como interdisciplinares y de desarrollo transmediático, en un contexto de convergencia mediática, como ya   Henry Jenkins describió en The logic of convergence culture (2004). El videoclip es uno de los formatos audiovisuales centrales en esta cultura audiovisual contemporánea: imitado por todo tipo de mensajes emergentes, tomado como referencia en su duración, en su composición de materiales, por su un componente promocional o como vehículo de contenido, normalmente de venta o promoción de una idea. El texto analizará estos aspectos, así como los derivative videos, hibridaciones o recirculaciones entre la industria musical y de la creación fan, que pueblan las redes sociales de video como YouTube.
Shanghai gangster films and the politics of change
Authors: Laukkanen Tatu-Ilari
Published: August 2020

In this paper through a very close textual reading I will show the ideological differences between two films based on the life of Shanghai gangster Du Yuesheng (1888, Pudong – 1951, Hong Kong)  through close formal and narrative analysis. Du was already a celebrity in his day in the Republican era and is still a con-troversial figure in Greater China. However, there are only two films based on the life of the French Con-cession opium kingpin, the recent Hong Kong/PRC co-production The Last Tycoon (Da Shang Hai, Wong Jing, 2012) and the epic two part Lord of the East China Sea I & II (Shang Hai huang di zhi: Sui yue feng yun & Shang Hai huang di zhi: Xiong ba tia xia, Hong Kong, Poon Man-kit 1993). I show how these films reflect HK's and China's politico-economic changes focusing on the representation of social class and the subject, depiction of internal migration and immigration, and nationalism. The films will be discussed in their relation to changes in the Hong Kong film industry, Chinese and world cinema and the transnational gangster genre, showing how local and global cinemas have affected these films.
Tetralogia de Fallot em cão. Relato de caso
Authors: Aptekmann K. P. , Schwartz D. S.
Published: August 2020

O artigo não apresenta resumo.
Efeitos do carprofeno no ganho de força tênsil muscular e cutânea em ratas (Rattus norvegicus) submetidas à Laparorrafia mediana
Authors: Banks A. G. , Barbudo-Selmi G. R. , Terzella S. , Selmi A. L. , Lins B. T. , Simões A.
Published: August 2020

O artigo não apresenta resumo.
Ressecção parcial e omentalização de cisto prostático de retenção em três cães
Authors: Galeazzi V. S. , Matera J. M. , Castro P. F.
Published: August 2020

O artigo não apresenta resumo.
Uso de pino intramedular na reparação de fraturas de ossos longos em psitacídeos: arara-azul (Anodorhynchus hyacinthinus), arara-canindé (Ara ararauna) e papagaio-verdadeiro (Amazona aestiva)
Authors: Castro P. F. , Matera J. M. , Fantoni D. T. , Guimarães M. B. , Madeira A. M. B. N.
Published: August 2020

O artigo não apresenta resumo.
Alterações clínicas da Síndrome de Emagrecimento Progressivo de Sagüis mantidos em cativeiro
Authors: Sá L. R. M. , Duarte M. I. S.
Published: August 2020

O artigo não apresenta resumo.
Drenagem de abscessos renais guiados ultra-sonograficamente em cão. Relato de caso
Authors: Kanayama L. M. , Martin C. M. , Coelho B. M. P. , Iwasaki M.
Published: August 2020

O artigo não apresenta resumo.
Leucemia em cão portador de Leishmaniose visceral. Relato de caso
Authors: Roberto T. , Maia C. A. A. , Lins B. T. , Ciarlini P. C. , Feitosa M. M.
Published: August 2020

O artigo não apresenta resumo.
Estudo da longevidade de diferentes raças de cães na cidade de São Paulo
Authors: Bentubo H. , Cardoso T. G. , Rocha L. F. , Bondan E. F. , Lallo M. A.
Published: August 2020

O artigo não apresenta resumo.
Efeito da restrição calórica sobre os níveis de uréia e creatinina séricas em cães obesos
Authors: Carnicelli C. D. , Silva M. B. F. , Benatti L. , Santos F. A. , Jericó M. M.
Published: August 2020

O artigo não apresenta resumo.
Displasia dental: múltiplas anomalias do desenvolvimento dental em cão. Relato de caso
Authors: Venturini M. A. F. A. , Ferro D. G. , Gioso M. A.
Published: August 2020

O artigo não apresenta resumo.
Prevalência de neoplasias da cavidade oral de cães atendidos no Centro Odontológico Veterinário - Odontovet®, entre 1994 e 2003
Authors: Ferro D. G. , Lopes F. M. , Venturini M. A. F. A. , Correa H. L. , Gioso M. A.
Published: August 2020

O artigo não apresenta resumo.
Prevalência de neoplasias da cavidade oral de gatos atendidos no Centro Odontológico Veterinário - Odontovet® - entre 1994 e 2003
Authors: Ferro D. G. , Lopes F. M. , Venturini M. A. F. A. , Correa H. L. , Gioso M. A.
Published: August 2020

O artigo não apresenta resumo.
Linfoma multicêntrico com metástase no sistema nervoso central em cão. Relato de caso
Authors: Aptekmann K. P. , Okamoto C. E. , Moutinho F. Q. , Campos K. C. H. , Takahira R. K.
Published: August 2020

O artigo não apresenta resumo.
Artrite séptica em cão. Relato de caso
Authors: Champion T. , Sincero P. C. , Locatelli-Dittrich R. , Franco M. B. , Sprea G. , Baudi D. L. K. , Silva G. B.
Published: August 2020

O artigo não apresenta resumo.
Tempo de sangria e coagulação em pré-operatório de animais atendidos no Hospital Veterinário da Faculdade de Medicina Veterinária da Universidade Paulista
Authors: Kolber M. , Chate S. C. , Leite C. F. S.
Published: August 2020

O artigo não apresenta resumo.
Alterações clínicas e cardiopulmonares produzidas pelo envenenamento escorpiônico em cães
Authors: Cordeiro F. F. , Sakate M.
Published: August 2020

O artigo não apresenta resumo.
Rim policístico congênito em Lhasa Apso
Authors: Lustoza A. C. , Silva S. B.
Published: August 2020

O artigo não apresenta resumo.
Genetic Studies of Hypertrophic Cardiomyopathy in Singaporeans Identify Variants in
TNNI3
and
TNNT2
That Are Common in Chinese Patients
Authors: Pua Chee Jian , Tham Nevin , Chin Calvin W.L. , Walsh Roddy , Khor Chiea Chuen , Toepfer Christopher N. , Repetti Giuliana G. , Garfinkel Amanda C. , Ewoldt Jourdan F. , Cloonan Paige , Chen Christopher S. , Lim Shi Qi , Cai Jiashen , Loo Li Yang , Kong Siew Ching , Chiang Charleston W.K. , Whiffin Nicola , de Marvao Antonio , Lio Pei Min , Hii An An , Yang Cheng Xi , Le Thu Thao , Bylstra Yasmin , Lim Weng Khong , Teo Jing Xian , Padilha Kallyandra , Silva Gabriela V. , Pan Bangfen , Govind Risha , Buchan Rachel J. , Barton Paul J.R. , Tan Patrick , Foo Roger , Yip James W.L. , Wong Raymond C.C. , Chan Wan Xian , Pereira Alexandre C. , Tang Hak Chiaw , Jamuar Saumya Shekhar , Ware James S. , Seidman Jonathan G. , Seidman Christine E. , Cook Stuart A.
Published: August 2020

Background:

To assess the genetic architecture of hypertrophic cardiomyopathy (HCM) in patients of predominantly Chinese ancestry.

Methods:

We sequenced HCM disease genes in Singaporean patients (n=224) and Singaporean controls (n=3634), compared findings with additional populations and White HCM cohorts (n=6179), and performed in vitro functional studies.

Results:

Singaporean HCM patients had significantly fewer confidently interpreted HCM disease variants (pathogenic/likely pathogenic: 18%,
P
<0.0001) but an excess of variants of uncertain significance (24%,
P
<0.0001), as compared to Whites (pathogenic/likely pathogenic: 31%, excess of variants of uncertain significance: 7%). Two missense variants in thin filament encoding genes were commonly seen in Singaporean HCM (TNNI3:p.R79C, disease allele frequency [AF]=0.018; TNNT2:p.R286H, disease AF=0.022) and are enriched in Singaporean HCM when compared with Asian controls (TNNI3:p.R79C, Singaporean controls AF=0.0055,
P
=0.0057, genome aggregation database-East Asian AF=0.0062,
P
=0.0086; TNNT2:p.R286H, Singaporean controls AF=0.0017,
P
<0.0001, genome aggregation database-East Asian AF=0.0009,
P
<0.0001). Both these variants have conflicting annotations in ClinVar and are of low penetrance (TNNI3:p.R79C, 0.7%; TNNT2:p.R286H, 2.7%) but are predicted to be deleterious by computational tools. In population controls, TNNI3:p.R79C carriers had significantly thicker left ventricular walls compared with noncarriers while its etiological fraction is limited (0.70 [95% CI, 0.35–0.86]) and thus TNNI3:p.R79C is considered variant of uncertain significance. Mutant TNNT2:p.R286H iPSC-CMs (induced pluripotent stem cells derived cardiomyocytes) show hypercontractility, increased metabolic requirements, and cellular hypertrophy and the etiological fraction (0.93 [95% CI, 0.83–0.97]) support the likely pathogenicity of TNNT2:p.R286H.

Conclusions:

As compared with Whites, Chinese HCM patients commonly have low penetrance risk alleles in
TNNT2
or
TNNI3
but exhibit few clinically actionable HCM variants overall. This highlights the need for greater study of HCM genetics in non-White populations.
Two new species of Stylosanthes Sw. (Leguminosae—Papilionoideae) endemic to Bahia State, Brazil

Authors: FERREIRA JAMILE JORGE DA SILVA , GISSI DANILO SOARES , PEREZ ANA PAULA FORTUNA , SILVA JULIANA SANTOS
Published: August 2020

Two new species of Stylosanthes Sw. (Leguminosae), S. minima and S. mitzii, endemic to central-southern Bahia State, in northeastern Brazil, are described and illustrated. The species differ from each other principally by the length of the fruit rostrum, the presence or absence of indumentum, the shapes or sizes of their bracts and bract leaflets, and numbers of spikes per inflorescence. Stylosanthes minima differs from S. macrocephala by having the upper segments of the fruit pilose to extremely pubescent (vs. glabrescent), rostrum with 0.5–1 mm long (vs. 1.5–2.5 mm long), and by the number of spikes (2–7 vs. 1–3). Stylosanthes mitzii differs from S. capitata by having bracts oval (vs. elliptic), bract leaflets lanceolate (vs. elliptic), and rostrum shorter (0.5–1.5 mm long vs. 2–2.5 mm long). An identification key is provided for all the known species with an axis rudiment from Bahia State, as well as data concerning the micromorphology of the fruits, images, and maps.
Fuscoporia ambigua sp. nov., a new species from America and China

Authors: DU PING , CHEN QIAN , VLASÁK JOSEF
Published: August 2020

A new species of Hymenochaetaceae, Fuscoporia ambigua sp. nov., is described based on specimens from the USA and China. The phylogeny, based on the ITS+nLSU+RPB2+TEF1 dataset, revealed that it nested within the Fuscoporia clade, and all the American and Chinese specimens of the new species clustered in a lineage with good support. The new species is characterized by its annual, resupinate basidiocarps with pores measuring 5–6 per mm, aseptate skeletal hyphae, presence of mycelial setae and cystidioles, long hymenial setae (45–75 μm) which are occasionally septate, presence of cystidioles, and ellipsoid basidiospores measuring 4.2–5.2 × 2.8–3.3 μm. Fuscoporia ambigua is very similar and closely related to F. ferruginosa, but the latter species has a perennial growth habit, and short and aseptate hymenial setae (30–44 μm).
Tillandsia itatiensis: a new species of Tillandsia L. (Bromeliaceae) from Bahia, Brazil

Authors: LEODEGARIO MARCIO DE MELO , CAVALCANTE BRAYAN PAIVA , AONA LIDYANNE YURIKO SALEME , WANDERLEY MARIA DAS GRAÇAS LAPA , SOUZA EVERTON HILO DE
Published: August 2020

The authors describe, discuss, and illustrate Tillandsia itatiensis, a new species from the Caatinga biome in the municipality of Itatim, Bahia, Brazil. The new species is similar to T. streptocarpa and T. grao-mogolensis, regarding morphological characters such as caulescent habit, curved stem, simple inflorescence with no more than five flowers per inflorescence and simple-erect stigma. It inhabits inselbergs in Caatinga forest, where it is critically endangered (CR) due its small distribution and human extractivism.
Botanical diversity of Hyrcanian forests; a case study of a transect in the Kheyrud protected lowland mountain forests in northern Iran
Authors: Siadati S. , Moradi H. , Attar F. , Etemad V. , Hamzeh'ee B. , Naqinezhad A.
Published: August 2020

Hyrcanian or Caspian forests follow a profile along the northern slopes of the Alborz mountain range, located in the provinces of Gilan, Mazandaran and Golestan in northern Iran. The area is approximately 800 km long and 110 km wide and a covers ca 1.84 million hectare. There are few protected forest patches across this extended area in northern Iran, but Kheyrud forest is one of these reserves, which has been under the direct supervision and protection by the University of Tehran for an extended period of time. The area includes three elevational classes, lowland (50-500 m), submountain (501-1000 m) and mountain (1001-2200 m). It lies seven km east of Now-Shahr and covers an area of 10,000 hectare. Based on floristic collecting during spring, summer and autumn of 2008 and 2009, three plots were made, each with a 100 m elevational interval. Floristic data were collected in 234 plots. Data related to elevation, slope and direction were also noted. A total of 295 plant taxa were encountered, out of which 29 taxa (10%) are endemic to Iran and 16 taxa (5.5%) are only found in the Hyrcanian provinces. Classification based on life form indicates that geophytes (with 110 taxa, 37.5%) constitute the largest proportion. Chorologically, the largest proportion of the flora is constituted of Euro-Siberian elements (72 taxa, 24.7%). In addition to general assessments, variation of life forms between the study area and other similar areas are discussed. A comparison was made between the floristic data of the three elevational belts. The result of this investigation indicates that the species diversity increases with the increase of elevation. Likewise, the proportion of hemicryptophytes and geophytes are more prominent in the montane belt above 1000 m.
Cyphostemma mendesii (Vitaceae), a new species from Angola
Authors: De Sousa F. , Figueiredo E. , Smith G. F.
Published: August 2020

A new species of Cyphostemma (Vitaceae) is here described: C. mendesii, a succulent geophyte from the Namibe region in southern Angola.
The new fern genus Calciphilopteris (Pteridaceae)
Authors: Yesilyurt J. C. , Schneider H.
Published: August 2020

A new genus of Pteridaceae subfamily Cheilanthoideae is established for what has long been known as Doryopteris ludens. The newly erected genus is named Calciphilopteris in reference to its substrate specificity to limestone. Calciphilopteris can be found throughout Southeast Asia, from Indo-China to New Guinea and Australia. New combinations are established for the four known species (Calciphilopteris alleniae, C. ludens, C. papuana and C. wallichii). Calciphilopteris is characterized by having a horizontal rhizome, semi-clathrate scales, indumentum on the petiole and lamina usually with fibrils and/or semi- to non-clathrate scales, and sporangia with 32 echinate or cristate spores.
Contributions to the fauna of chigger mites (Acariformes: Trombiculidae) of Iran
Authors: SHAMSI MOHSEN , STEKOLNIKOV ALEXANDR A. , SABOORI ALIREZA , HAKIMITABAR MASOUD , GOLPAYEGANI AZADEH ZAHEDI
Published: August 2020

Chigger mites of northern Iran were studied on the basis of field collections from rodent hosts. Thirty-five species were recorded. Two new species, Cheladonta afshari Stekolnikov and Shamsi sp. nov., collected on Apodemus sp. in Guilan and Mazandaran Provinces, and Neotrombicula tehranensis Stekolnikov and Shamsi sp. nov., collected on Cricetulus migratorius and Chionomys sp. in Tehran Province, are described. One new synonym is established: Neotrombicula vernalis (Willmann, 1942) (= Neotrombicula kermani Kudryashova, 1977 syn. nov.). Seventeen species were recorded in Iran for the first time; thus, the number of known Iranian chiggers constitutes 104. The record of Neotrombicula autumnalis (Shaw, 1790) in Iran is important from the veterinarian and medical points of view, as this species attacks humans and domestic animals.
Evaluating the Credibility of Downscaling: Integrating Scale, Trend, Extreme, and Climate Event into a Diagnostic Framework
Authors: Sun Fengyun , Mejia Alfonso , Sharma Sanjib , Zeng Peng , Che Yue
Published: August 2020

Because downscaling tools are needed to support climate change mitigation and adaptation practices, the guarantee of their credibility is of vital importance. To evaluate downscaling results, one needs to select a set of effective and nonoverlapping indices that reflect key system attributes. However, this subject is still insufficiently researched. With this study, we propose a diagnostic framework that evaluates the credibility of precipitation downscaling using five different attributes: spatial, temporal, trend, extreme, and climate event. A daily variant of the bias-corrected spatial downscaling approach is used to downscale daily precipitation from the GFDL-ESM2G climate model at 148 stations in the Yangtze River basin in China. Results prove that this framework is effective in systematically evaluating the performance of downscaling across the Yangtze River basin in the context of climate change and exacerbating climate extremes. Moreover, results also indicate that the downscaling approach adopted in this study yields good performance in correcting spatiotemporal bias, preserving trends, approximating extremes, and characterizing climate events across the Yangtze River basin. The proposed framework can be beneficial to planners and engineers facing issues relevant to climate change assessment.
Resilience Protective Factors Checklist (RPFC): Buffering Childhood Adversity and Promoting Positive Outcomes
Authors: Powell Kevin M. , Rahm-Knigge Ryan L. , Conner Bradley T.
Published: August 2020

While research tends to focus on understanding risk factors associated with adverse childhood and adolescent experiences, there is growing empirical support within the field of human services to also focus on strengths and protective factors that bolster resilience in life. This study investigated the psychometrics of the Resilience Protective Factors Checklist (RPFC), which is a questionnaire that assists in the identification of protective factors empirically linked to resilience and positive outcomes. In addition, associations between protective factors, childhood adversity, and quality of life outcomes were examined. Participants were undergraduate college students ( n = 1,256). The results revealed good psychometric properties for the RPFC and the factor analysis supported the resilience structural model of three interrelated areas of protective factors - Individual, Family, and Community influences. All three areas of protection were positively correlated with all four domains of positive life outcomes (physical health, psychological health, social relationships, and a healthy environment) and negatively correlated with adverse childhood experiences. RPFC’s individual protective factors positively predicted physical health and psychological health outcomes, while the community protective factors positively predicted environmental health outcomes. In addition, the RPFC’s family protective factors moderated the path between adverse childhood experiences and social relationships. That is, for individuals who have experienced more adverse childhood experiences, those with higher levels of RPFC family protective factors had positive social relationship outcomes, while those with lower levels of family protective factors had negative social relationship outcomes. These findings lend support for the utilization of assessment measures for identifying and promoting protective factors that can buffer life adversity and heighten resilient positive outcomes.
Putting Nonprofits on the Policy Agenda of Post-Soviet Russia: A Story of Convergence
Authors: Salamon Lester M. , Benevolenski Vladimir
Published: August 2020

This article seeks to explain how a dramatic new program of financial and technical assists to nonprofit organizations managed to surface on the active policy agenda of Russia’s government between 2009 and 2013 at precisely the same time the Russian government was suppressing foreign-funded nonprofit organizations as “foreign agents” and earning for itself a reputation as the perpetrators of a “global associational counter-revolution.” To answer this question, the article brings to bear the multiple streams framework (MSF) widely used to explain policy-agenda-formation in the United States and other countries and finds it sheds useful light on the agenda-setting dynamics recently at work in the evolution of government–nonprofit relations in Russia and, possibly, in other transitional societies.
Sigma Rail Services: From Executive to Entrepreneur
Authors: Gagnon Mark A. , Donley William R.
Published: August 2020

North American Rail Services is a leading rail and track maintenance and construction service company in North America. The leading investor in the company wishes to have its investment returned which requires North American Rail Services to sell the company or start selling business units. The case presents students with questions about which business units to buy and for how much and also to provide compelling acquisition rationale. The case will take students 8–10 hours to complete and is suitable for advanced entrepreneurship and business undergraduates and first year master’s students. Students are provided with a tangible corporate context to evaluate business unit choice utilizing detailed case data. The case contributes to entrepreneurship case pedagogy through the use of corporate context for students to practice business due diligence, analytics, valuation and entrepreneurial decision making.
Time-Resolved Luminescence Properties of Laser-Fabricated Nano-diamonds
Authors: Hao Juan , Pan Lingyun , An Minghui , Dai Yunzhi , Gao Bingrong
Published: August 2020

In the study, well-crystallized nano-diamonds with an average size of 3.8 nm are obtained via femtosecond laser ablation. Both steady-state and transient luminescence are observed. The luminescence peaks of nano-diamonds shift from 380 to 495 nm when the excitation wavelength changes from 280 to 420 nm. After passivation by polyethylene glycol-400N, the surface of nano-diamonds is significantly oxidized, which is verified by Raman and UV-Vis absorption spectra. Furthermore, there is no change in all the luminescence wavelengths, although the maximum intensity increases by 10 times. Time-resolved luminescence spectra reveal that trapping states can be modified by surface passivation, and this leads to stronger luminescence with a longer lifetime.
Admission fasting plasma glucose is associated with in-hospital outcomes in patients with acute coronary syndrome and diabetes: findings from the improving Care for Cardiovascular Disease in China - Acute Coronary Syndrome (CCC-ACS) project
Authors: Ye Nan , Yang Lijiao , Wang Guoqin , Bian Weijing , Xu Fengbo , Ma Changsheng , Zhao Dong , Liu Jing , Hao Yongchen , Liu Jun , Yang Na , Cheng Hong ,   on behalf of the CCC-ACS
Published: August 2020

Background

The discrepancy between glycosylated hemoglobin (HbA1c) and fasting plasma glucose (FPG) in clinical practice may be related to factors such as acute stress, renal dysfunction, and anemia, and its relationship with in-hospital outcomes is uncertain. The aim of this study was to investigate the association between the type of discrepancy between HbA1c and FPG and in-hospital outcomes in patients with acute coronary syndrome (ACS) and diabetes.

Methods

The Improving Care for Cardiovascular Disease in China - Acute Coronary Syndrome (CCC-ACS) project is a national, hospital-based quality improvement project with an ongoing database. Patients with ACS, diabetes and complete HbA1c and FPG values at admission were included. The consistent group included patients with HbA1c < 6.5% and FPG < 7.0 mmol/L or HbA1c ≥ 6.5% and FPG ≥ 7.0 mmol/L. The discrepancy group included patients with HbA1c ≥ 6.5% and FPG < 7.0 mmol/L (increased HbA1c group) or HbA1c < 6.5% and FPG ≥ 7.0 mmol/L (increased FBG group).

Results

A total of 7762 patients were included in this study. The numbers of patients in the consistent and discrepancy groups were 5490 and 2272 respectively. In the discrepancy group, increased HbA1c accounted for 77.5% of discrepancies, and increased FPG accounted for 22.5% of discrepancies. After adjusting for confounders, patients in the increased FPG group had a 1.6-fold increased risk of heart failure (OR, 1.62; 95% CI, 1.08–2.44), a 1.6-fold increased risk of composite cardiovascular death and heart failure (OR, 1.63; 95% CI, 1.09–2.43), and a 1.6-fold increased risk of composite major adverse cardiovascular and cerebrovascular events (MACCEs) and heart failure (OR, 1.56; 95% CI, 1.08–2.24) compared to patients in the increased HbA1c group.

Conclusions

Patients with an increased FPG but normal HbA1c had a higher risk of in-hospital adverse outcomes than those with increased HbA1c but normal FPG. This result may indicate that when HbA1c and FPG are inconsistent in patients with ACS and diabetes, the increased FPG that may be caused by stress hyperglycemia may have a more substantial adverse effect than increased HbA1c, which may be caused by chronic hyperglycemia. These high-risk patients should be given more attention and closer monitoring in clinical practice.

Trial registry

Clinicaltrial.gov, NCT02306616. Registered 29 November 2014.
Cooperation networks of ambulatory health care providers: exploration of mechanisms that influence coordination and uptake of recommended cardiovascular care (ExKoCare): a mixed-methods study protocol
Authors: Arnold Christine , Hennrich Patrick , Koetsenruijter Jan , van Lieshout Jan , Peters-Klimm Frank , Wensing Michel
Published: August 2020

Background

As the number of elderly and multimorbid patients increases, healthcare has become more complex. This requires good coordination of treatment and care given the various  health care professionals involved (e.g. general practitioners, medical specialists, physicians’ assistants). Lack of coordination jeopardizes seamless, evidence-based treatment and care, and eventually reduces clinical effectiveness. The aim of the study is a) to describe and explore information transfer and interprofessional collaboration in ambulatory cardiac care, b) to describe and explore the role of provider networks from the perspective of patients and providers, focusing on healthcare coordination and the uptake of recommended practices.

Methods

Two related studies are planned: a) an observational study of healthcare provider networks, involving 600 patients with chronic (atherosclerosis-related) cardiovascular disease from 40 general practices and up to 320 healthcare providers (general practitioners, medical specialist, physicians’ assistants), and b) a qualitative interview study with up to 80 healthcare professionals and patients. Furthermore, we will analyse claims data of a large German health insurer to explore provider networks in ambulatory cardiac care.

Discussion

The project aims to provide insight into factors, processes and mechanisms of information transfer and interprofessional collaboration, which affect seamless, evidence-based healthcare practice. This will contribute to the design of strategies for improving health care practice and to the development of measures of coordination for future research.

Trial registration

We registered the study prospectively on 7 November 2019 at the German Clinical Trials Register (DRKS, www.drks.de) under ID no. DRKS00019219.