bluuebunny/crossref_metadata_2025_split huggingface dataset:
Capillary leakage provides nutrients and antioxidants for rapid pneumococcal proliferation in influenza-infected lower airways
Authors: Sender Vicky , Hentrich Karina , Pathak Anuj , Tan Qian Ler Alicia , Embaie Bethel Tesfai , Lundström Susanna L. , Gaetani Massimiliano , Bergstrand Jan , Nakamoto Rei , Sham Lok-To , Widengren Jerker , Normark Staffan , Henriques-Normark Birgitta 
Published: November 2020

Significance
Mechanisms for why influenza A virus (IAV) infections sensitize for pneumococcal infections are not clear. Here, we show that IAV-induced capillary leakage results in influx of nutrients and antioxidants to the lungs, thereby promoting pneumococcal growth in the lower respiratory tract. The evoked inflammation leads to redox imbalances that require bacterial adaptation to the oxidized environment, including induction of the pneumococcal chaperone/protease HtrA that protects the bacteria from clearance by the immune system. The results give us insight into the delicate interplay between the bacteria and the host environment during coinfections that needs to be explored in order to find novel therapeutic approaches.
Seasonal drought events in tropical East Asia over the last 60,000 y
Authors: Zhang Jianping , Lu Houyuan , Jia Jiwei , Shen Caiming , Wang Shuyun , Chu Guoqiang , Wang Luo , Cui Anning , Liu Jiaqi , Wu Naiqin , Li Fengjiang 
Published: November 2020

Significance
The characters and mechanisms of seasonal precipitation changes during the last glaciation in tropical East Asia are enduring and important issues of debate for researchers from many disciplines. Sensitive indicators for annual/seasonal hydrological changes are keys to understanding the issues. Here, we use successive phytolith and pollen records to reconstruct the changes of precipitation in the catchment of the Huguangyan Maar Lake, an important site at northern tropical East Asia that could simultaneously receive climate signals from higher-latitude continent and tropical ocean. We then identify seven seasonal drought events during interstadials. The results indicate that both zonal and meridional circulations control seasonal hydrologic changes, which is of great significance to understand tropical atmospheric–ocean interactions under global changes.
High-resolution mouse subventricular zone stem-cell niche transcriptome reveals features of lineage, anatomy, and aging
Authors: Xie Xuanhua P. , Laks Dan R. , Sun Daochun , Poran Asaf , Laughney Ashley M. , Wang Zilai , Sam Jessica , Belenguer German , Fariñas Isabel , Elemento Olivier , Zhou Xiuping , Parada Luis F. 
Published: November 2020

Significance
Adult neural stem cells (NSC) are closely related to multiple neurological disorders and brain tumors. Comprehensive investigation of their composition, lineage, and aging will provide insights that may lead to enhanced patient treatment. This study applies a transgene to label and manipulate neural stem/progenitor cells and monitor their evolution during aging. Together with high-throughput single-cell RNA sequencing, we are able to analyze the subventricular zone cells from infancy to advanced age with unprecedented granularity. Diverse cell states are identified in the stem-cell niche, and an aging-related NSC deficiency in transition from quiescence to proliferation is identified. The related biological features provide rich resources to inspect adult NSC maintenance and neurogenesis.
Moth wings are acoustic metamaterials
Authors: Neil Thomas R. , Shen Zhiyuan , Robert Daniel , Drinkwater Bruce W. , Holderied Marc W. 
Published: November 2020

Significance
Bats and moths are embroiled in an evolutionary arms race. Using ultrasonic biosonar, bats detect their insect prey, which in turn deploy diverse strategies to avoid predation. Here, we show that some moth species evolved wings covered with a canopy of scales that reduces ultrasonic echoes. Our empirical and mathematical analysis together show that moth wings exhibit key features of a desirable technological acoustic metamaterial. This work enriches our understanding of the structural and functional complexity of lepidopteran wings and reveals enticing new ways to design, using bioinspired metamaterial properties, high-performance acoustic panels and noise mitigation devices.
Structure–function subsystem models of female and male forebrain networks integrating cognition, affect, behavior, and bodily functions
Authors: Swanson Larry W. , Hahn Joel D. , Sporns Olaf 
Published: November 2020

Significance
The forebrain is required for generating mammalian voluntary and innate behaviors. Multiresolution consensus cluster analysis generated a panoramic, hierarchical view of rat intraforebrain structure–function subsystem organization, from the top level with just two relatively independent mirror image subsystems centered on either side of the brain, to over 90 bottom-level subsystems. Each top-level subsystem has two interconnected subsystems: one includes the medial forebrain bundle and integrates instinctive survival behaviors with relevant physiological responses and affect, whereas the other uses the lateral forebrain bundle and mediates voluntary behavior control, with associated cognition. The intraforebrain network is sexually dimorphic, and targeted computational lesions of nodes implicated in human Alzheimer’s disease and depression produce severe, differential, global network changes in males and females.
Environmental noise degrades hippocampus-related learning and memory
Authors: Zhang Yifan , Zhu Min , Sun Yutian , Tang Binliang , Zhang Guimin , An Pengying , Cheng Yuan , Shan Ye , Merzenich Michael M. , Zhou Xiaoming 
Published: November 2020

Significance
The noise pollution accompanying industrialization is a risk factor to human health. Here, we show in a rodent model that even moderate-level noise at ∼65 dB SPL that has little effect on stress status can substantially impair hippocampus-related learning and memory by altering the plasticity of synaptic transmission. It is possible that because moderately loud noise does not affect peripheral hearing per se, the negative impacts of chronic exposure to such noise are currently not well characterized. Our results indicate the importance of more thoroughly defining these possibly hitherto unappreciated hazards of noise pollution in modern human environments.
Some structural similarities in the outcomes of language contact with
Russian
Authors: Forker Diana , Grenoble Lenore A. 
Published: November 2020

Abstract
This paper surveys a broad range of languages in contact
with Russian to provide an overview of a core set of similarities in the
outcomes of contact-induced change. We consider both lexical and structural
borrowings, focusing on five categories: adjectives, verbs, indefinite
pronouns, participles and conjunctions, and the structure of complex
clauses. There are clear genetic and areal tendencies for particular
strategies for the integration of loan verbs, while we also find broad
similarities in the changes across all languages surveyed, despite their
differences typologically and genetically, and also in terms of their
demographics and local contact ecologies.
Analyzing Modern Chinese Pidgin Russian
Authors: Perekhvalskaya Elena 
Published: November 2020

Abstract
The article is devoted to the analysis of specific
varieties of Russian used by older Udihe and Nanai in the Primorsky and Khabarovsky territories. These codes are characterized by a high level of
variability. It is shown that these are contemporary varieties of Chinese
Pidgin Russian (ChPR), which was a means of communication between Russians
and the local indigenous population before the 1960s. Invariable forms similar
to pidgin are in free variation with inflected Russian forms. I argue that a
stabilized pidgin or a creole may show no supervariability, with Tok-Pisin
being an example. Stabilized Pidgins and Creoles are no more variable than
languages with an ordinary history of formation. Thus, Chinese Pidgin
Russian shows significant stability: different sources display similar or
very close variants (for details, see Perekhvalskaya, 2008, 2013). This paper is a case study analysis of variability in
modern forms of Chinese Pidgin Russian spoken in the Ussuri region of
Russia: it presents linguistic processes occurring lately in the Chinese
Pidgin Russian. In the course of its history, this variety underwent a stage
of a relative stability followed by a more variable post-pidgin stage. The
latter will be thoroughly analyzed in this paper. The Ussuri region is the
territory annexed by Russia under the Aygun peace treaty in 1858–1860. It is
bounded by the Amur river in the North, by the Ussuri and Vaku (after 1972
Malinovka) rivers in the West, and by the Sea of Japan in the East.
Language data and maps
Authors: Koryakov Yuri 
Published: November 2020

Abstract
The maps and data in this chapter give an overall picture of the demographics and social status of the languages discussed in the present volume. In the 1st table, each language mentioned in the book is provided with basic genealogical, sociolinguistic and demographic data. The more complicated cases are detailed in the followed sections. Three maps show the distribution of the same languages and their ranking according to the following parameters: (1) number of speakers; (2) genealogical classification; (3) levels of endangerment and official status.
Instability of regularized 4D charged Einstein-Gauss-Bonnet de-Sitter black holes *
Authors: Liu Peng , Niu Chao , Zhang Cheng-Yong 
Published: November 2020

Abstract
We studied the instability of regularized 4D charged Einstein-Gauss-Bonnet de-Sitter black holes under charged scalar perturbations. The unstable modes satisfy the superradiant condition, but not all of the modes satisfying the superradiant condition are unstable. The instability occurs when the cosmological constant is small and the black hole charge is not too large. The Gauss-Bonnet coupling constant further destabilizes black holes when both the black hole charge and the cosmological constant are small and further stabilizes black holes when the black hole charge is large.
Expert System in Clustering the Damage of a Motorcycle Matic with the K-Means Algorithm
Authors: Rusdiansyah  , Badrul Mohammad , Tuslaela  , Supendar Hendra , Suharyanti Nining , Junaidi Agus 
Published: November 2020

Abstract
Research on Expert Systems to Diagnose Matic Motorcycle Engine Damage by applying Algortima K-means. Research to detect damage to an automatic motorcycle by observing the symptoms of an automatic motorcycle. This study aims to help Matic Motorcycle users to find out about damage to the automatic motorcycle based on the results of the application of the K-Means algorithm without having to meet with experts directly. Research by applying Algortima k-Means by forming groupings based on electrical damage, compression and engine performance, continuous variable transmission timing and automatic sensors so that the damage can be grouped. The results of the expert system research with the K-Means Algorithm can help matic motorcycle users to find out the type of damage based on the grouping that has been determined by the K-Means algorithm.
Classification System Of Toddler Nutrition Status using Naïve Bayes Classifier Based on Z- Score Value and Anthropometry Index
Authors: Putri Tiara Eka , Subagio Ridho Taufiq , Kusnadi  , Sobiki Petrus 
Published: November 2020

Abstract
The system of nutritional status assessment for a toddler is crucial to monitor the growth of a toddler. This present study was carried out to build a classification system for determining the assessment of toddler nutritional status using naive bayes classifier based on value the z-score and index of Anthropometry. The data was used to perform classification include gender, age, height and weight. The data was calculated using the z-score to get nutritional status based on anthropometric indices-weight-for-age, height-for-age, weight-for-height for classified use Naive Bayes Classifier. This study used 225 data of toddlers. Testing system used 55 data as training and 175 data as testing with 100% accuracy. The results of this study was a system that could be used to perform classification of nutritional status based on a combination of three anthropometric indices using the Naive Bayes Classifier. Naive Bayes Classifier performed classification interpretation of nutritional toddler consisting of malnutrition, normal and over-nutrition. This study showed that the classification of nutritional status was on 175 data generating the highest percentage was malnutrition of 44.58%.
Identification of Grape Leaf Diseases Using Convolutional Neural Network
Authors: Hasan Moh. Arie , Riana Dwiza , Swasono Sigit , Priyatna Ade , Pudjiarti Eni , Prahartiwi Lusa Indah 
Published: November 2020

Abstract
The presence of leaf diseases in grapes can reduce the productivity of grapes and result in losses for farmers. Leaf diseases are mainly caused by bacteria, fungi, virus etc. A proper diagnosis of disease in plants is needed in order to take appropriate control measures. This paper aims to assist in the identification and classification of grape leaf diseases Convolutional Neural Network (CNN). CNN is basically an artificial neural network architecture that requires repeated training processes to get good accuracy. CNN consists of 3 stages, namely Data Input, Feature Learning, and Classification. The implementation of CNN in this study uses Keras libraries that use the python programming language. Keras is a framework created to facilitate learning of computers. The CNN training process using 0.0001 learning rate obtained results with an accuracy rate of 91,37%
The Determination of Yarn Supplier by Using the Weight Product Method
Authors: Indriyani Fintri , Irfiani Eni , Schaduw Frans Edward , Anwar Syaiful , Hidayat Rahmat 
Published: November 2020

AbstractThe Upstream Supply Chain Management is the initial component of the supply chain where the company gets raw materials from suppliers for the production process. This process is very important in the sustainability of a company’s production. The obstacle experienced at this stage is how the company decides which suppliers to choose from the many suppliers who want to offer their products. Also, it is experienced by PT. Mayer Indah Indonesia, which currently has 14 prospective suppliers, each of which has a different weight based on the assessment criteria of the company. The purpose of this study is to assist companies in making decisions to determine the best suppliers by using the Weight Product (WP) method, while the selection criteria are based on price, quality and the delivery accuracy. The results of the study can be implemented by the company to determine the right supplier in accordance with the criteria that have been required.
Design of IT Governance Evaluation Using COBIT Framework through Capability Maturity in Department of Transportation Cirebon
Authors: Magdalena Lena , Solihah Yuni Awalaturrohmah 
Published: November 2020

Abstract
IT Governance Evaluation has not been carried out optimally because supervision and evaluation of IT is only done if there are complaints from work units regarding IT services. These problems relate to the services that need to be provided to users of the information system, starting from the operations that need to be carried out on data security, sustainability aspects, training of human resources that support the processes of the information system and related to the support processes that should first be determined to be able to give service. This research method used qualitative research by using COBIT 5 framework dealing with the system analysis and design using the Usecase Diagram, Activity Diagram, Sequence Diagram, and Class Diagram tools. The programming language used is PHP Hypertext Prepocessor (PHP) while the database uses MySQL. This application was created to provide information about managing the IT Governance Evaluation in Department of Transportation Cirebon. The results of this study is IT Governance Evaluation using Cobit 5 Framework. Regarding to the IT Governance using COBIT 5, the Capability Maturity Level is at 3.28 that means defined-process. It represents that the IT Governance has been implemented to reach the goal of this organization. This assessment was aimed to determine the capabilities of IT performance and make recommendations for the proper management of IT Performance Management so that it can be used as a guide that can be used by the user and can increase the use of facilities optimally for better improvement of Department of Transportation Cirebon.
Macroscopic Modelling of Pedestrian Flows Based on Conservation Law
Authors: Windyani Finna , Gunawan P. H. , Tarwidi Dede 
Published: November 2020

Abstract
Overcrowded of sidewalks can reduce the level of satisfaction of pedestrians. The large crowd on the sidewalks results in slowing down time of the pedestrian to arrive in their destination. This studt, focuses on pedestrian flows modelling using the macroscopic model. Numerical approximation of the macroscopic model is formulated as scalar hyperbolic conservation laws. The Lax-Wendroff scheme is used to discretize the equation of conservation laws. The simulation results show that the numerical approximation in term of density confirms the exact solution. In this simulation, the velocity function is obtained by curve fitting of observation data using linear regression method. The observation data, which are consist of velocity-density relation, are obtained from observation of pedestrian flows. The study case of this research conducts on the sidewalks of Braga Street, Bandung, Indonesia. There are two velocity functions used in the simulation, i.e. c
1 = 0.58206 + −0.94476ρ and c
2 = 0.59926 + −0.78052ρ, respectively. In performing the velocity function c
2, the pedestrian leader position is approximately 1 meter in front of the pedestrian leader using the velocity function c
1 at final time T = 20 seconds and T = 30 seconds. Overall, the numerical experiment shows that the pedestrian leader using the velocity functions c
2 is faster than by using c
1.
Implementation of Neural Network Method for Air Quality Forecasting in Jakarta Region
Authors: Kristiyanti Dinar Ajeng , Purwaningsih Esty , Nurelasari Ela , Kaafi Ahmad Al , Umam Akhmad Hairul 
Published: November 2020

Abstract
The quality of air can be influenced by the amount of pollution that occurs in an area. The city of Jakarta is ranked in the top ten as the nation’s capital with the worst air quality in the world. Poor air quality both inside and outside the room can have an impact on the emergence of various diseases and even death. For this reason, forecasting of air quality in the city of Jakarta, Indonesia is needed to anticipate the likely impact that will arise. In this study forecasting air quality using the neural network method in which this method has the advantage of being able to solve problems, especially large data samples and has been able to prove in handling non-linear problems. The data collection used is secondary data from the Environmental Service Office of DKI Jakarta Province as many as 2989 records with variables as determinants consisting of 5 of which PM10, SO2, CO, O3, NO2 and 1 output variable are good, moderate, unhealthy and very unhealthy. From the calculations result in this study it is known that the Neural Network method obtained an accuracy performance of 88.86% in which the Lubang Buaya area noted as the most unhealthy air quality.
Designing Face Recognition Teacher Wellbeing Application that Optimizes Teacher’s Quality Work Life
Authors: Rosyidi Unifah , Sasmoko  , Indrianti Yasinta , Manalu Sonya Rapinta , Lubis Ramot , Moniaga Jurike , Abu Bakar Abu Yazid Bin 
Published: November 2020

Abstract
Meeting the demands of industry 4.0, teachers are required to improve the quality of their profession. Quality professions will not be achieved if the teacher does not have a quality person and at the same time prosperous. By utilizing technological developments, the teacher can monitor and diagnose the condition of the self wellbeing on an ongoing basis, so as to optimize the quality of work life. Teacher’s Quality Work Life is very important for teachers themselves as educators, institutions and the nation and state. Quality work life can be a measure of teacher growth vertically and horizontally along with the growth of the institution. The encounter of Education, psychological trait with Artificial Intelligence is called Positive Education is the main objective of this research. One form is a self diagnostic that is able to diagnose psychological conditions to produce optimal quality. This research aims to create an application face recognition design through Neuroresearch and Waterfall research methods. The results of the study were designed to build the Face Recognition Teacher Wellbeing application.
Integrated Monitoring Platform for Collaborative Youth Communities in Indonesia: A Case of e-Government Implementation for the Rural Millennial
Authors: Renaldi F , Ramandhani M P , Djamal E C , Santikarama I 
Published: November 2020

Abstract
Electronic monitoring systems (e-Monitoring) is the term used for applying technology to a reporting system, used as a medium of supervising for various activities. One of the areas that are prone to chaotic problems thus needs monitoring, is the youth community. While youth empowerment promised high result for the society, it lacks control can also create all sorts of issues. Although there have been many studies dealing with the use of technology in youth communities, none have intensely discussed sharing information between each youth communities, especially those villages youth communities that connect through one sub-district youth community. We consider this as an essential issue since those youth communities are adjacent to one another; hence, a repetition of the program would be an ineffective use of budgets. Upon the implementation of the system, we conducted a user acceptance test. The test was made with 57 test scenarios for five types of users with an acceptance rate of 82,81%. Attaching this system into another e-Government system such as the municipal systems or the banking systems should be a promising future work to be done.
Design and Implementation of Rivest Shamir Adleman’s (RSA) Cryptography Algorithm in Text File Data Security
Authors: Sihotang Hengki Tamando , Efendi Syahril , Zamzami Elvyawati M , Mawengkang Herman 
Published: November 2020

Abstract
Security of data text file on a computer can be done by utilizing encryption and decryption techniques. One technique is encryption and decryption of data encryption system text file with cryptography. Cryptography is the science or art to randomize and secure the message to avoid the manipulation of data by performing encryption and decryption on the data of the text file. Cryptographic algorithm consists of several types of one example is the algorithm Rivest Shamir Adleman (RSA). The RSA algorithm is one of asymmetric cryptography technique ie riptografi modern technique that has two keys of the public key used for encryption and a private key techniques to make the process deskripsi. The purpose of this research is to design and implement RSA cryptography algorithm on text file data security. The results of this design is a dekstop based software. This research is expected to provide benefits to the users, individually as well for other organizations.