bluuebunny/crossref_metadata_2025 huggingface dataset:
Generative Topographic Mapping of the Docking Conformational Space
Authors: Horvath Dragos , Marcou Gilles , Varnek Alexandre
Published: June 2019

Following previous efforts to render the Conformational Space (CS) of flexible compounds by Generative Topographic Mapping (GTM), this polyvalent mapping technique is here adapted to the docking problem. Contact fingerprints (CF) characterize ligands from the perspective of the binding site by monitoring protein atoms that are “touched” by those of the ligand. A “Contact” (CF) map was built by GTM-driven dimensionality reduction of the CF vector space. Alternatively, a “Hybrid” (Hy) map used a composite descriptor of CFs concatenated with ligand fragment descriptors. These maps indirectly represent the active site and integrate the binding information of multiple ligands. The concept is illustrated by a docking study into the ATP-binding site of CDK2, using the S4MPLE program to generate thousands of poses for each ligand. Both maps were challenged to (1) Discriminate native from non-native ligand poses, e.g., create RMSD-landscapes “colored” by the conformer ensemble of ligands of known binding modes in order to highlight “native” map zones (poses with RMSD to PDB structures < 2Å). Then, projection of poses of other ligands on such landscapes might serve to predict those falling in native zones as being well-docked. (2) Distinguish ligands–characterized by their ensemble of conformers–by their potency, e.g., testing the hypotheses whether zones privileged by potent binders are clearly separated from the ones preferred by decoys on the maps. Hybrid maps were better in both challenges and outperformed the classical energy and individual contact satisfaction scores in discriminating ligands by potency. Moreover, the intuitive visualization and analysis of docking CS may, as already mentioned, have several applications–from highlighting of key contacts to monitoring docking calculation convergence.
Kaempferol: A Key Emphasis to Its Anticancer Potential
Authors: Imran Muhammad , Salehi Bahare , Sharifi-Rad Javad , Aslam Gondal Tanweer , Saeed Farhan , Imran Ali , Shahbaz Muhammad , Tsouh Fokou Patrick Valere , Umair Arshad Muhammad , Khan Haroon , Guerreiro Susana G. , Martins Natália , Estevinho Leticia M.
Published: June 2019

A marked decrease in human cancers, including breast cancer, bone cancer, and cervical cancer, has been linked to the consumption of vegetable and fruit, and the corresponding chemoprotective effect has been associated with the presence of several active molecules, such as kaempferol. Kaempferol is a major flavonoid aglycone found in many natural products, such as beans, bee pollen, broccoli, cabbage, capers, cauliflower, chia seeds, chives, cumin, moringa leaves, endive, fennel, and garlic. Kaempferol displays several pharmacological properties, among them antimicrobial, anti-inflammatory, antioxidant, antitumor, cardioprotective, neuroprotective, and antidiabetic activities, and is being applied in cancer chemotherapy. Specifically, kaempferol-rich food has been linked to a decrease in the risk of developing some types of cancers, including skin, liver, and colon. The mechanisms of action include apoptosis, cell cycle arrest at the G2/M phase, downregulation of epithelial-mesenchymal transition (EMT)-related markers, and phosphoinositide 3-kinase/protein kinase B signaling pathways. In this sense, this article reviews data from experimental studies that investigated the links between kaempferol and kaempferol-rich food intake and cancer prevention. Even though growing evidence supports the use of kaempferol for cancer prevention, further preclinical and clinical investigations using kaempferol or kaempferol-rich foods are of pivotal importance before any public health recommendation or formulation using kaempferol.
Ratiometric Fluorescent Nanoprobe for Highly Sensitive Determination of Mercury Ions
Authors: Luo Zhihui , Xu Hui , Ning Baogui , Guo ZeBin , Li Na , Chen Lina , Huang Guobao , Li Charlie , Zheng Baodong
Published: June 2019

In this study, a novel dual-emission ratiometric fluorescent nanoprobe (RFN) was synthesized and ultilized for highly sensitive determination of mercury ions. In this nanoprobe, fluorescein isothiocyanate (FITC) doped silica (SiO2) served as a reference signal, FITC–SiO2 microspheres were synthesized and modified with amino groups, and then Au Nanoclusters (AuNCs) were combined with the amino groups on the surface of the FITC–SiO2 microspheres to obtain the RFN. The selectivity, stability, and pH of the RFN were then optimized, and the determination of mercury ions was performed under optimal conditions. The probe fluorescence intensity ratio (F520 nm/F680 nm) and Hg2+ concentration (1.0 × 10−10 mol/L to 1.0 × 10−8 mol/L) showed a good linear relationship, with a correlation coefficient of R2 = 0.98802 and a detection limit of 1.0 × 10−10 mol/L, respectively. The probe was used for the determination of trace mercury ion in water samples, and the recovery rate was 98.15~100.45%, suggesting a wide range of applications in monitoring pollutants, such as heavy metal ion and in the area of environmental protection.
Design and Optimization of a Process for the Production of Methyl Methacrylate via Direct Methylation
Authors: Liang Taotao , Guo Xiaogang , Giwa Abdulmoseen Segun , Shi Jianwei , Li Yujin , Wei Yan , Wang Xiaojuan , Cao Xuansong , Tang Xiaofeng , Du Jialun
Published: June 2019

Methyl methacrylate (MMA) plays a vital role in national productions with broad application. Herein, the production of MMA is realized by the improved eco-friendly direct methylation method using Aspen Plus software. Three novel kinds of energy-saving measures were proposed in this study, including the recycle streams of an aqueous solution, methacrolein (MAL), and methanol, the deployment of double-effect distillation instead of a normal one, and the design of a promising heat-exchange network. Moreover, MMA with a purity of 99.9% is obtained via the design of a MAL absorber column with an optimal stage number of 11 and a facile chloroform recovery process by using the RadFrac model. Thus, the proposed green process with energy-conservation superiority is the vital clue for developing MMA, and provides a reference for the production of MMA-ramifications with excellent prospects.
“The Road of Payback” and Rabbinic Judaism
Authors: Schofer Jonathan
Published: June 2019

In Anger and Forgiveness, Martha Nussbaum argues against the claim that the suffering of the wrongdoer restores, or partially restores, what was damaged by the wrongdoing. Making this mental mistake sets a person on “the road of payback,” and following this path is normatively problematic. What contribution can the canonical writings of Judaism, the Talmud and Midrash, make to the case against payback, when these writings reflect the view that a single deity establishes a divine justice in the world, such that ultimately the good are rewarded and the bad punished? This article argues, in light of recent research into rabbinic law and judicial process, as well as rabbinic theology of divine justice, that several components of these sources can help to meet the challenge. The texts recommend particular subjective states in the context of the human judiciary procedure and in consideration of divine justice, which do not intend “the suffering of the wrongdoer.” Rabbis seek authority, control over uncertainty, and a correct judicial procedure in their legal processes. Regarding the human relationship to the deity, rabbis both prescribe reverence and protest questionable divine acts based on their own ethical standards.
Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network
Authors: Jiang Wei , Wang Zheng , Jin Jesse S. , Han Xianfeng , Li Chunguang
Published: June 2019

Automatic speech emotion recognition is a challenging task due to the gap between acoustic features and human emotions, which rely strongly on the discriminative acoustic features extracted for a given recognition task. We propose a novel deep neural architecture to extract the informative feature representations from the heterogeneous acoustic feature groups which may contain redundant and unrelated information leading to low emotion recognition performance in this work. After obtaining the informative features, a fusion network is trained to jointly learn the discriminative acoustic feature representation and a Support Vector Machine (SVM) is used as the final classifier for recognition task. Experimental results on the IEMOCAP dataset demonstrate that the proposed architecture improved the recognition performance, achieving accuracy of 64% compared to existing state-of-the-art approaches.
DNAzyme-Functionalized R-Phycoerythrin as a Cost-Effective and Environment-Friendly Fluorescent Biosensor for Aqueous Pb2+ Detection
Authors: Wu Jikui , Lu Yunfei , Ren Ningna , Jia Min , Wang Ruinan , Zhang Junling
Published: June 2019

The sensitive detection of Pb2+ is of significant importance for food safety, environmental monitoring, and human health care. To this end, a novel fluorescent biosensor, DNAzyme-functionalized R-phycoerythrin (DNAzyme-R-PE), was presented for Pb2+ analysis. The biosensor was prepared via the immobilization of Iowa Black® FQ-modified DNAzyme–substrate complex onto the surface of SPDP-functionalized R-PE. The biosensor produced a minimal fluorescence signal in the absence of Pb2+. However, Pb2+ recognition can induce the cleavage of substrate, resulting in a fluorescence restoration of R-PE. The fluorescence changes were used to measure sensitively Pb2+ and the limit of detection was 0.16 nM with a linear range from 0.5–75 nM. Furthermore, the proposed biosensor showed excellent selectivity towards Pb2+ even in the presence of other metal ions interferences and was demonstrated to successfully determine Pb2+ in spiked lake water samples.
Proposition and Real-Time Implementation of an Energy-Aware Routing Protocol for a Software Defined Wireless Sensor Network
Authors: Younus Muhammad , Islam Saif , Kim Sung
Published: June 2019

A wireless sensor network (WSN) has achieved significant importance in tracking different physical or environmental conditions using wireless sensor nodes. Such types of networks are used in various applications including smart cities, smart building, military target tracking and surveillance, natural disaster relief, and smart homes. However, the limited power capacity of sensor nodes is considered a major issue that hampers the performance of a WSN. A plethora of research has been conducted to reduce the energy consumption of sensor nodes in traditional WSN, however the limited functional capability of such networks is the main constraint in designing sophisticated and dynamic solutions. Given this, software defined networking (SDN) has revolutionized traditional networks by providing a programmable and flexible framework. Therefore, SDN concepts can be utilized in designing energy-efficient WSN solutions. In this paper, we exploit SDN capabilities to conserve energy consumption in a traditional WSN. To achieve this, an energy-aware multihop routing protocol (named EASDN) is proposed for software defined wireless sensor network (SDWSN). The proposed protocol is evaluated in a real environment. For this purpose, a test bed is developed using Raspberry Pi. The experimental results show that the proposed algorithm exhibits promising results in terms of network lifetime, average energy consumption, the packet delivery ratio, and average delay in comparison to an existing energy efficient routing protocol for SDWSN and a traditional source routing algorithm.
Action Graphs for Performing Goal Recognition Design on Human-Inhabited Environments
Authors: Harman Helen , Simoens Pieter
Published: June 2019

Goal recognition is an important component of many context-aware and smart environment services; however, a person’s goal often cannot be determined until their plan nears completion. Therefore, by modifying the state of the environment, our work aims to reduce the number of observations required to recognise a human’s goal. These modifications result in either: Actions in the available plans being replaced with more distinctive actions; or removing the possibility of performing some actions, so humans are forced to take an alternative (more distinctive) plan. In our solution, a symbolic representation of actions and the world state is transformed into an Action Graph, which is then traversed to discover the non-distinctive plan prefixes. These prefixes are processed to determine which actions should be replaced or removed. For action replacement, we developed an exhaustive approach and an approach that shrinks the plans then reduces the non-distinctive plan prefixes, namely Shrink–Reduce. Exhaustive is guaranteed to find the minimal distinctiveness but is more computationally expensive than Shrink–Reduce. These approaches are compared using a test domain with varying amounts of goals, variables and values, and a realistic kitchen domain. Our action removal method is shown to increase the distinctiveness of various grid-based navigation problems, with a width/height ranging from 4 to 16 and between 2 and 14 randomly selected goals, by an average of 3.27 actions in an average time of 4.69 s, whereas a state-of-the-art approach often breaches a 10 min time limit.
Mango Fruit Load Estimation Using a Video Based MangoYOLO—Kalman Filter—Hungarian Algorithm Method
Authors: Wang Zhenglin , Walsh Kerry , Koirala Anand
Published: June 2019

Pre-harvest fruit yield estimation is useful to guide harvesting and marketing resourcing, but machine vision estimates based on a single view from each side of the tree (“dual-view”) underestimates the fruit yield as fruit can be hidden from view. A method is proposed involving deep learning, Kalman filter, and Hungarian algorithm for on-tree mango fruit detection, tracking, and counting from 10 frame-per-second videos captured of trees from a platform moving along the inter row at 5 km/h. The deep learning based mango fruit detection algorithm, MangoYOLO, was used to detect fruit in each frame. The Hungarian algorithm was used to correlate fruit between neighbouring frames, with the improvement of enabling multiple-to-one assignment. The Kalman filter was used to predict the position of fruit in following frames, to avoid multiple counts of a single fruit that is obscured or otherwise not detected with a frame series. A “borrow” concept was added to the Kalman filter to predict fruit position when its precise prediction model was absent, by borrowing the horizontal and vertical speed from neighbouring fruit. By comparison with human count for a video with 110 frames and 192 (human count) fruit, the method produced 9.9% double counts and 7.3% missing count errors, resulting in around 2.6% over count. In another test, a video (of 1162 frames, with 42 images centred on the tree trunk) was acquired of both sides of a row of 21 trees, for which the harvest fruit count was 3286 (i.e., average of 156 fruit/tree). The trees had thick canopies, such that the proportion of fruit hidden from view from any given perspective was high. The proposed method recorded 2050 fruit (62% of harvest) with a bias corrected Root Mean Square Error (RMSE) = 18.0 fruit/tree while the dual-view image method (also using MangoYOLO) recorded 1322 fruit (40%) with a bias corrected RMSE = 21.7 fruit/tree. The video tracking system is recommended over the dual-view imaging system for mango orchard fruit count.
A Personalized QoS Prediction Method for Web Services via Blockchain-Based Matrix Factorization
Authors: Cai Weihong , Du Xin , Xu Jianlong
Published: June 2019

Personalized quality of service (QoS) prediction plays an important role in helping users build high-quality service-oriented systems. To obtain accurate prediction results, many approaches have been investigated in recent years. However, these approaches do not fully address untrustworthy QoS values submitted by unreliable users, leading to inaccurate predictions. To address this issue, inspired by blockchain with distributed ledger technology, distributed consensus mechanisms, encryption algorithms, etc., we propose a personalized QoS prediction method for web services that we call blockchain-based matrix factorization (BMF). We develop a user verification approach based on homomorphic hash, and use the Byzantine agreement to remove unreliable users. Then, matrix factorization is employed to improve the accuracy of predictions and we evaluate the proposed BMF on a real-world web services dataset. Experimental results show that the proposed method significantly outperforms existing approaches, making it much more effective than traditional techniques.
Identification and Statistical Analysis of Impulse-Like Patterns of Carbon Monoxide Variation in Deep Underground Mines Associated with the Blasting Procedure
Authors: Hebda-Sobkowicz Justyna , Gola Sebastian , Zimroz Radosław , Wyłomańska Agnieszka
Published: June 2019

The quality of the air in underground mines is a challenging issue due to many factors, such as technological processes related to the work of miners (blasting, air conditioning, and ventilation), gas release by the rock mass and geometry of mine corridors. However, to allow miners to start their work, it is crucial to determine the quality of the air. One of the most critical parameters of the air quality is the carbon monoxide (CO) concentration. Thus, in this paper, we analyze the time series describing CO concentration. Firstly, the signal segmentation is proposed, then segmented data (daily patterns) is visualized and statistically analyzed. The method for blasting moment localization, with no prior knowledge, has been presented. It has been found that daily patterns differ and CO concentration values reach a safe level at a different time after blasting. The waiting time to achieve the safe level after blasting moment (with a certain probability) has been calculated based on the historical data. The knowledge about the nature of the CO variability and sources of a high CO concentration can be helpful in creating forecasting models, as well as while planning mining activities.
The Computer Course Correlation between Learning Satisfaction and Learning Effectiveness of Vocational College in Taiwan
Authors: Chen Ru-Yan , Tu Jih-Fu
Published: June 2019

In this paper, we surveyed the influence of learn effectiveness in a computer course under the factors of learning attitude and learning problems for students in senior-high school. We followed the formula for a regression line as R = A + BX +ε and simulated on SPSS platform with symmetry to obtained the results as follows: (1) In learning attitude, both the cognitive-level and behavior-level, are positively correlated with satisfaction. This means the students have cognitive-level and behavior-level more positively correlated with satisfaction in computer subjects and have a high degree of self-learning effectiveness. (2) In learning problems, the female students had higher learning effectiveness than male students, and the students who practiced on the computer on their own initiative long-term each week had higher learning effectiveness.
Case Study of Holistic Energy Management Using Genetic Algorithms in a Sliding Window Approach
Authors: Minnerup Katharina , Herrmann Thomas , Steinstraeter Matthias , Lienkamp Markus
Published: June 2019

Energy management systems are used to find a compromise between conflicting goals that can be identified for battery electric vehicles. Typically, these are the powertrain efficiency, the comfort of the driver, the driving dynamics, and the component aging. This paper introduces an optimization-based holistic energy management system for a battery electric vehicle. The energy management system can adapt the vehicle velocity and the power used for cabin heating, in order to minimize the overall energy consumption, while keeping the total driving time and the cabin temperature within predefined limits. A genetic algorithm is implemented in this paper. The approach is applied to different driving cycles, which are optimized by dividing them into distinctive time frames. This approach is referred to as the sliding window approach. The optimization is conducted with two separate driving cycles, the New European Driving Cycle (NEDC) and a recorded real-world drive. These are analyzed with regard to the aspects relevant to the energy management system, and the optimization results for the two cycles are compared. The results presented in this paper demonstrate the feasibility of the sliding window approach. Moreover, they reveal the differences in fundamental parameters between the NEDC and the recorded drive and how they affect the optimization results. The optimization leads to an overall reduction in energy consumption of 3.37 % for the NEDC and 3.27 % for the recorded drive, without extending the travel time.
The egg production of hungarian speckled hen and speckled transylvanian naked neck hen
Authors: Ákos Benk  , Lajos Vidács
Published: June 2019

Our Faculty has been dealing with the cross-breeding of Hungarian speckled hen to maintain the breed since 1977. We keep two breeds of the Hungarian speckled hen, the bare-neck variant and the feathered-neck type on the pilot farm. Because of the spread of intensive poultry keeping the population of these breeds has become endangered. Beside the gene preservation, we endeavour to find the best way for the production-purposeutilisation of the speckled hen stock. We examined the egg production of these breeds.
Study of traditional folk foods from the point of view of nutrition in Hajdú-Bihar County
Authors: Veronika Fejes  , Zoltán Győri  , Zsuzsa Bardócz
Published: June 2019

Healthy nutrition is one of the major topics of our days. The occurrence of the so called “civilization diseases” is increasing continuously as a result of the changes in our nutritional habits and life-style. It was thought that folk nutrition at the beginning of the 19. Century had several beneficial effects on health. For this reason it was decided to study the food and nutritional habits of the population of Hajdu-Bihar County around the 1930s on thebasis of literary sources to see how well they do match with modern requirements of healthy nutrition.
New possibilities to determine wheat quality parameters by near-infrared spectroscopy
Authors: Éva Kónya  , Zoltán Győri
Published: June 2019

Analyses and methods in wheat quality determination require more sample, time, work and cost, thatswhy flour quality control needs rapid, reliable tools. Near-infrared spectroscopy has many advantages, which make it suitable in quality control. NIR instruments need calibrations to their work. In our study we examined gluten content, falling number, valorigrpahic waterabsorption, alveographic P/L and W value of wheat samples. Modified partial least squares analyses on NIR spectra were developed for each property. The results show that we got such calibration modells, which are able to predict the properties (expect falling number) with enough accuracy.
Ailuroglossum (Boraginaceae, Cynoglosseae), a New Genus Endemic to Southern China, and a New Species
Authors: Sutorý Karel
Published: June 2019

A new genus, Ailuroglossum Sutorý (Boraginaceae), endemic to Sichuan and Yunnan provinces of southern China, is described. It includes two species: A. triste (Diels) Sutorý, formerly recognized as Cynoglossum triste Diels, and the newly described A. breviglochidiatum Sutorý. The genus is distinguished from Cynoglossum L. by a combination of characters, including a rhizome rather than a taproot, an almost flat gynobase, narrowly conical style, and discoid stigma, nutlets with perfect separation, without ventral attachment, and hourglass-shaped tricolporate pollen grains. The new species, A. breviglochidiatum, is distinguished by its more slender rhizomes with longer internodes, differently shaped leaves, and smaller nutlets with a denser indument of shorter glochids.
LA INVESTIGACIÓN EN LA UCIMED
Authors: Chinchilla Misael
Published: June 2019

Este proceso inicial se incrementa ligeramente cuando el suscrito es nombrado Decano de Posgrado pero dado que este era incipiente, el desarrollo de la Investigación Básica como tal, no fue significativa. Afortunadamente en 1999, sucede el hecho más trascendental de esta institución al convertirse oficialmente en Universidad, la cual, después de ser dirigida como Rectora por la 

Dra. María Gabriela Stein esposa del preclaro fundador Dr. Andrés Vesalio Guzmán Calleja, correspondió al suscrito asumir dicha Rectoría; y ahora sí, aquí nació un sueño: convertir a la UCIMED en la primera universidad privada en contar con un Departamento de Investigación de prestigio.
Ortaokul Son Sınıf Öğrencilerinin Ev Ödevleri Hakkındaki Görüşlerinin İncelenmesi
Authors: ÇAKIR Ergun , ÜNAL Ali
Published: June 2019

Araştırmanın amacı, ortaokul öğrencilerinin sevdikleri ve sevmedikleri ödev türleri ile ödeve ilişkin hoşlandıkları ve hoşlanmadıkları öğretmen davranışlarını tespit etmektir. Araştırmada nitel araştırma yöntemlerinden fenomenoloji deseni tercih edilmiştir. Araştırmanın çalışma grubunu, iki ortaokulda sekizinci sınıfta öğrenim görmekte olan 16 öğrenci oluşturmaktadır. Öğrenciler merkezi sınav başarılarına ve cinsiyetlerine göre seçilmiştir. Veriler, yarı yapılandırılmış görüşme yöntemiyle toplanmıştır. Toplanan veriler tümevarım analizi ile çözümlenmiştir. Analiz sonuçlarına göre, test ödevleri, ilgi alanına giren ödevler, el becerisi gerektiren ödevler ve araştırma ödevlerini severek yapmaktadırlar. El becerisi gerektiren ödevler ve araştırma ödevleri, öğrencilerin ilgi ve özelliklerine göre aynı zamanda öğrencilerin sevmedikleri ödev türleri arasında yer almaktadır. Yazma ödevleri, kişisel ihtiyaca uygun olmayan ve kişisel özelliklerine uygun olmayan ödevler sevilmemektedir. Ödevi fark etme, destek olma ve kolay ödev verme olumlu öğretmen davranışı olarak görülürken; kontrol etmeme, yeterli zaman vermeme, öğretmenler arasında koordinasyon eksikliği ve kıyaslama olumsuz öğretmen davranışı olarak görülmektedir. Öğrenciler kendilerini merkezi sınavlara hazırlayan ödev türlerini değerli bulmakta, diğer ödev türlerini zaman kaybı olarak değerlendirmektedirler.
En busca de las huellas árabes en México. La inmigración árabe en los siglos XIX y XX
Authors: Petit Lorenza , Arellano Espinoza Florcita Janeth , Guzmán Bárcenes Vicente Bolívar
Published: June 2019

Los procesos migratorios masivos no son nada novedosos, la historia de la humanidad siempre ha estado caracterizada por un constante movimiento de individuos o grupos que se desplazan de un lado a otro del planeta en busca de mejores condiciones de vida. El final del siglo XIX y el inicio del siglo XX fueron marcados por un masivo flujo migratorio hacia el continente americano, en donde Estados Unidos y Latinoamérica representaban los principales focos de atracción para millones de personas, tanto europeos como asiáticos. En estas oleadas migratorias se incluye la de los árabes, que partieron hacia América a través de un largo y arduo viaje. En el caso específico de México, entre finales del siglo XIX y principios del XX, entraron al país alrededor de 10 000 árabes, de mayoría libanesa, que se asentaron inicialmente a lo largo de todo el país para luego establecerse en las grandes ciudades como Ciudad de México y Guadalajara. El presente estudio se propone investigar la presencia árabe en México y para ello en las páginas que siguen se efectuará, en primer lugar, la reconstrucción del flujo migratorio árabe, analizando las fuentes disponibles que nos permiten establecer el número de árabes que entraron a México entre 1870 y 1950; y, en segundo lugar, se rastreará a los pioneros de tal migración reconstruyendo los inicios del desplazamiento
KEY SUCCES FACTOR KEPEMIMPINAN PEREMPUAN DI PEMERINTAH DAERAH
Authors: Wijaya Andy Arya Maulana
Published: June 2019

Tujuan penelitian ini dilakukan untuk mengkaji sejumlah indikasi peran perempuan dalam kepemimpinannya di Pemerintah Daerah Kota Baubau. Penelitian di fokuskan pada dua tokoh pemimpin perempuan, yaitu Wakil Walikota Baubau Ibu Wa Ode Maasra Manarfa dan Sekretaris Daerah Kabupaten Buton Ibu Ichsana Maliki.

Penelitian ini menjelaskan latar belakang kehidupan pribadi dua tokoh pemimpin perempuan di daerah menjadi motivasi tersendiri bagi yang bersangkutan dalam berkiprah dalam politik lokal dan birokrasi daerah. Selain itu, motivasi pribadi juga menjadi factor penting bagi yang bersangkutan dalam bekarja termasuk sebagai pemimpin. Hasil penelitian ini menjelaskan bahwa, terdapat penciri khusus baggi pemimpin seorang perempuan yakni ketegasan, model pengambilan keputusan serta cara mengayomi bawahan, dan hal ini menjadikannya model kepemimpinan yang berbeda dengan laki-laki.
Peran Pemerintah Dalam Meningkatkan Promosi Pariwisata Di Kabupaten Buton Utara
Authors: Mahyudin Mahyudin
Published: June 2019

Peran pemerintah dalam mengembangkan promosi pariwisata belum berjalan dengan maksimal, hal ini dapat dilihat dari pengembangan promosi pariwisata pantai membuku yang secara fisik sarana dan prasarana belum di sentuh sehingga promosi tidak bisa dilakukan dengan baik, kemudian pengembangan promosi pariwisata pantai bone belum juga dilakukan karena belum ada sentuhan daru masyarakat. Kemudian pengembangan promosi EE Moleku, sampai hari ini belum dilakuan oleh pemerintah jadi hanya berdasarkan rumor yang berkembang di masyarakat saja, pengembangan promosi pariwisatamata rumbia yang sudah dapat dipromosikan tetapi hanya tingkat lokal sulawesti tenggara dan pengembangan promosi pariwisata budaya sudah dilakukan dengan baik.Sedangkan faktor pendorong dan penghambat pengembangan pariwisata adalah faktor pendorong yaitu adalah faktor masyarakat, faktor dana, faktor sumber daya manusia, faktor sejarah dan faktor alam. Sedangkan yang menajdi faktor penghambat pengembangan promosi pariwisata adalah sebagai berikut yaitu faktor faktor masyaraakat, kurangnya kualitas sumber daya manusia, faktor dana belum optimalnya jalur transportasi, kurangnya program kemitraan  pemerintah dan swasta.
REVERSIBLE DATA HIDING BASED ON PIXEL-BASED PIXEL VALUE ORDERING PREDICTOR AND EMD
Authors: Tram Nam Hoang , Huynh Thanh Van , Vo C Thanh , Duong Khanh Ngoc Van , Nguyen Son Thai
Published: June 2019

In this paper, we improved the reversible data hiding method of Qu’s et al. The original image is divided into overlapped equalsize blocks (2x2). Each of block is used to predict a pixel. Then a histogram is constructed from the different value between the original pixel and  the prediction pixel. In order to increase thecapacity, the proposed method combination with EMD table to change the histogram. According to Qu’s method, each pixel satisfies only one bit of information is embedded. In our method, by using the EMD table, each pair of eligible pixels can embed three bits of information. Experimental results show that the proposed  method increases 1.5 times the hidden performance while the image quality changes negligibly.
DATA VISUALIZATION FOR PIG HERDS IN TRA VINH PROVINCE BASED ON GEOGRAPHIC INFORMATION SYSTEM (GIS)
Authors: Nguyen Quoc Khac , Nguyen Sang Van
Published: June 2019

Building a system of data visualization of pig herds in Tra Vinh province based on GIS (Geographic Information System) will help management agencies update, do statistical analysis of and forecast the fluctuation in pig herds within the provincial area. Since then, pig farmers will have reliable information, which canmake their investment more efficient. The system is built on the WebGIS platform combining solutions for processing map data with PostGIS - an extension of PostgreSQL database management system to manage GIS objects. Additionally, the system will also provide solutions to handle and share pig herd data on the map with Geoserver - an open source server with the aim of connecting geographic information from PostGIS to Geoweb.
DESIGN AND CONTROL OF SPIDER ROBOT MODEL
Authors: Nguyen Tan Thanh , Nguyen Duy Khanh
Published: June 2019

Robots imitating spider’s moving have many advantages such as flexible movement, high stability, diversity in movements performed, especially in terrain  crossing, in military reconnaissance, in surveying and collecting environmental data in dangerous areas,.... In this article  with the main objective is to exploit multiple control methods to support applications of a spider robot with low-cost, a spider robot with 6 legs and 18 joints was designed. The ESPWROOM-32 module (ESP32-D0WDQ6 chip) and MIT App Inventor were used as the main tools for conducting this research. As a result, the robot is controlled via Bluetooth and Wifi to move, making some actions by self-written software running on the Android operating system. In addition, the robot has the capacity of self-propelled to avoid simple obstacles and send some environmental parameters to the software, including obstacles distance, humidity and temperature.
DEVELOPMENT OF AGRICULTURAL COOPERATIVE IN BAC NINH PROVINCE - SITUATION AND SOLUTION
Authors: Khong Thang Van
Published: June 2019

The Party and State consider collective economy development, in which the cooperative is the core, to be one of the important priorities to agricultural and rural development on the path of industrialization and modernization and building the new rural areas. Therefore, one of the aims of the introduction of the 2012 Law on cooperatives is to form and develop the new-type cooperatives in order to create a platform, an important factor for restructuring agriculture, improving  competitiveness and creating sustainable income for the farmers. This article has used the methods of statistical investigation, integration,  description, analysis and comparison to assess the real situation, shortcomings and restrictions of agricultural cooperatives in Bac Ninh province then, it proposes solutions to the improvement and development of the agricultural cooperative model in Bac Ninh province the upcoming time.
FACTORS AFFECTING OFFICERS’ENGAGEMENT TO STATE AGENCIES IN KIEN GIANG PROVINCE
Authors: Tong Thang Van , Pham Anh Thi Ngoc , Ho Phuc Hoang
Published: June 2019

The study is conducted to determine the factors that affect the cohesion of civil servants and employees (CCVC)in the state agencies in Kien Giang province.  Convenience sampling method is conducted and information is collected by the survey with sample size of 343. Reliability assessment method Cronbach’s  Alpha and explorer factor analysis (EFA) are used to screen and extract satisfactory factors. The results of regression analysis identified factors: the field work; relations at work; working environment; promotion opportunities; skills and personal capabilities; the future development of the organization and income that have  affected the commitment of CCVC in the state agencies in Kien Giang province. Through the analysis the authors have proposed a number of recommendations to the local management to developt and use of human resources as well as measures to retain talent.
IN VITRO BREEDING AND NURSING TAQUA BANANA IN TRA VINH PROVINCE
Authors: Dinh Tam Thi Thanh , Phan Nam Quoc , Nguyen Trai Ngoc , Vo An Van , Nguyen Phuong Minh
Published: June 2019

The goal of this study is to determine in vitro propagation media of Taqua banana. The results showed that: the optimal medium for banana bud regeneration was MS medium (Murashine & Skoog 1962) supplemented 0.1 mg/l NAA, 100 mg/l adenine sulfate, 30g/l sucrose, 8 g/l Agar, 5 mg/l BAP, 10% volume coconut juice and kept in completely dark condition. The medium, which is similar to bud generation media except for supplementing BAP 7 mg/l, was also good for bud replication with  6,33 shoots per sample after 4 weeks. (2)The medium, which is similar to bud generation media except for non-added BAP and an increase of NAA from 0.1 to 1 mg/l, was the best for the banana rooting.
THE FOLK KNOWLEDGE OF KHMER PEOPLE IN TRA VINH IN MAKING MASKS, CROWNS FOR ART PERFORMANCES
Authors: Son Thang Cao
Published: June 2019

During the developmental period, the southern Khmer people in general and Khmer people in Tra Vinh province in particular have been gaining a variety of  experiences in some definite fields. In art performances they have made mask and crown – the uniquely cultural products prove the art level and folk knowledgeof the ethnic community. This paper researches the technique of making crown and mask which connect with elements such as nature, religion, technique of craftsman, the value of cultural product, and the art of indigenous people
Cultura de la autoevaluación: cimiento para la acreditación de programas académicos en modalidad virtual
Authors: Londoño Salazar Jesús Enrique , Ramírez González Dora Aidé
Published: June 2019

La determinación de ofertar servicios educativos con calidad y pertinencia por parte de las Instituciones de Educación Superior –IES– colombianas, se constituye en el eje misional que impulsa los motores administrativos, financieros, tecnológicos, investigativos y humanos, en la dinámica inherente de estas entidades y de sus comunidades académicas.
Sintesis Membran Elektrolit Padat Berbahan Dasar Kitosan
Authors: Pratiwi Diana Eka
Published: June 2019

Kemajuan pesat teknologi menyebabkan peningkatan kebutuhan baterai, salah satunya baterai ion litium. Baterai litium memiliki cairan elektrolit yang mudah terbakar bila mengalami kebocoran elektrolit dan logam lithium dalam baterai akan bereaksi dengan air, sehingga memproduksi gas hidrogen yang eksplosif. Saat ini elektrolit bermatriks padatan sebagai elektrolit baterai telah banyak dikembangkan. Kitosan merupakan salah satu jenis polimer alam yang berpotensi sebagai bahan elektrolit padat. Penambahan kation dengan massa atom rendah seperti ion litium (Li+) di dalam membran polimer memungkinkan suatu proses transfer muatan yang efisien.. Penelitian ini merupakan penelitian eksperimen yang bertujuan untuk mensintesis membran elektrolit padat berbahan dasar kitosan. Sampel kitosan yang digunakan merupakan kitosan yang memiliki derajat deasetilasi sebesar 98 %. Membran elektrolit kitosan- LiOH disintesis menggunakan metode blending dengan perbandingan konsentrasi kitosan-LiOH sebesar (100:0), (95;5), (90:10), (85:15), dan (84:16)% b/b. Membran yang diperoleh dikarakterisasi warna dan ketebalannya, diukur konduktivitasnya menggunakan alat LCR meter, dan dianalisis derajat kristalinitasnya dengan alat X-Ray Diffraction (XRD). Dari hasil penelitian diperoleh membran kitosan-LiOH berwarna kuning jernih dengan ketebalan rata-rata sebesar 0,1 mm, dengan konduktivitas tertinggi diperoleh pada perbandingan konsentrasi kitosan-LiOH sebesar (85:15) % b/b.
TELAAH TERHADAP PRESIDENTIAL THRESHOLD DALAM PEMILU SERENTAK 2019
Authors: Ansori Lutfil
Published: June 2019

This paper aims to examine the presidential threshold in relation to the simultaneous general elections 2019. After the decision of the Constitutional Court Number 14/PUU-XI/ 2013 which mandates the general election simultaneously raises the pros and cons of setting the presidential threshold. In the constitutional perspective, using or not using the presidential threshold is not contrary to the constitution, because the presidential threshold is an open legal policy of the legislator. The legislators need to rethink the provisions of the presidential threshold especially in relation to the simultaneous elections, taking into account the advantages and disadvantages of applying or abolishing the presidential threshold, in order for the purpose of strengthening the presidential system to be achieved. The existence of simultaneous general elections has substantially eliminated the provisions of the presidential threshold, so the threshold requirement to nominate the President and Vice President becomes irrelevant. However, if the legislators demand presidential threshold, the middle path that can be selected is to apply the presidential threshold by using the legislative election 2014 with a record of institutionalizing the coalition.
UPAYA MEDIASI DALAM PENYELESAIAN SENGKETA DI LEMBAGA PERBANKAN
Authors: Suherman Suherman
Published: June 2019

In many countries the use of mediation as a method of dispute settlement was initially voluntary. The banking dispute that begins with a costumer’s complaint against the services of a bank which is not responded, will cause a dispute. The banking dispute can also occur due to contractual relationship between bank and debtor. There is several action that can be done by debtor for doing banking mediation, namely debtor has meeting with bank party to ask explanation for mediation, if acknowledge and understand so debtor can propose a mediation process to the implementation of banking mediation function, the debtor follows the mediation process and put it into an agreement. In this case, author also describe the benefits and weakness about banking mediation.
The influence of the bottom sediments on water quality of small rivers
Authors: Shakhnoza Tulkunovna Iskandarova , Islam Abbasovich Usmanov , Mamura Ikramovna KHasanova
Published: June 2019

The research is devoted to the study of the effect of bottom sediments on the water quality of the Akhangaran river. It has been established that below the wastewater discharge of the Almalyk Mining and Metallurgical Combine, bottom sediments are formed in the coastal areas of the Akhangaran River, in which significant concentrations of mineral and organic substances accumulated. The toxic metals, the concentrations of which exceed the normative levels, especially in the summer season were found in the water. A strong correlation (r > 0.5) has been established between the content of elements in bottom sediments and their concentration in the water of the Akhangaran river. The obtained data shows that bottom sediments are secondary sources of pollution of small rivers. Thus, the monitoring the water quality of small rivers in areas where non-ferrous metallurgy enterprises are located should be carried out taking into account the adverse effects of bottom sediments on the state of water bodies. The content of elements in bottom sediments varies widely on average from 0.01 (surface layers) to 32.1 mg/g (deep layers). It is characteristic that iron and copper in the bottom sediments are present in higher concentrations compared to other elements.
Formation of an unexpected 3,3-diphenyl-3H-indazole through a facile intramolecular [2 + 3] cycloaddition of the diazo intermediate
Authors: King Andrew T , Hiscocks Hugh G , Matesic Lidia , Bhadbhade Mohan , Bishop Roger , Ung Alison Thavary
Published: June 2019

The one-pot reaction of 2,6-bis(diphenylmethyl)-4-methoxyaniline with tert-butylnitrite, BTEAC and DABSO in the presence of CuCl2 provided an unexpected 3H-indazole product 8. The structure of the compound was determined by HRMS, IR, NMR and further confirmed by single crystal X-ray crystallography. The compound crystallises in the triclinic P-1 space group, with unit cell parameters a = 9.2107 (4), b = 10.0413 (5), c = 14.4363 (6) Å, α = 78.183 (2), β = 87.625 (2), γ = 71.975 (2)°. The formation of 8 proceeded through a facile intramolecular [2 + 3] cycloaddition of the diazo intermediate 9. The molecules of 8 are organised by edge–face Ar–H···π, face–face π···π, and bifurcated OCH2–H···N interactions. In addition to these, there are Ar–H···H–Ar close contacts, (edge–edge and surrounding inversion centres) arranged as infinite tapes along the a direction.
The Astrochemical Impact of Cosmic Rays in Protoclusters. I. Molecular Cloud Chemistry
Authors: Gaches Brandt A. L. , Offner Stella S. R. , Bisbas Thomas G.
Published: June 2019

We present astrochemical photodissociation region models in which cosmic-ray (CR) attenuation has been fully coupled to the chemical evolution of the gas. We model the astrochemical impact of CRs, including those accelerated by protostellar accretion shocks, on molecular clouds hosting protoclusters. Our models with embedded protostars reproduce observed ionization rates. We study the imprint of CR attenuation on ions for models with different surface CR spectra and different star formation efficiencies. We find that abundances, particularly ions, are sensitive to the treatment of CRs. We show the column densities of ions are underpredicted by the “classic” treatment of CRs by an order of magnitude. We also test two common chemistry approximations used to infer ionization rates. We conclude that the approximation based on the

abundance underpredicts the ionization rate, except in regions where the CRs dominate the chemistry. Our models suggest the chemistry in dense gas will be significantly impacted by the increased ionization rates, leading to a reduction in molecules such as NH3 and causing H2-rich gas to become [C ii] bright.
Biodiversity Community Cyberinfrastructure in the Specify Collections Consortium
Authors: Beach James
Published: June 2019

The Specify Collections Consortium ("SCC") is a member-funded organization currently comprised of 70 biodiversity collection institutions--universities, research centers, and government agencies from around the globe. In 2018, the SCC was created as a follow-on to the Specify Software Project that had a 20-year history as a US NSF grant funded biological collections software engineering and technical support project. Founding members of the Consortium include the National Natural History Museum of Denmark, and in the United States, the Universities of Florida, Michigan, and Kansas. The SCC plans to build on its open-source collections computing platforms to bring research analysis and integration to the collections curation environment. The inclusion and integration of genetic data standards, Nagoya Protocol business rules, and biogeographical analysis in Specify platforms will extend museum digitization and cataloging to engage collections in broader computational communities, for increased research, educational, and policy impact. Significant investments by the South African National Biodiversity Institute, the Natural History Museum of Geneva, and regional collections in additional countries are contributing to the Consortium's growth and financial sustainability. Code contributions from Consortium members have supplemented their financial commitments to produce capabilities that immediately benefit all members. We will present an update on the Specify Consortium's progress during its first 1.5 years, and outline its near- and long-term priorities for collections community engagement and technological innovation.
Macrophomina vaccinii sp. nov. causing blueberry stem blight in China
Authors: Zhao Lin , Cai Jing , He Wei , Zhang Ying
Published: June 2019

Blueberries (Vacciniumspp.) have been widely cultivated in China because of their nutritional benefits and economic value. Blueberry stem blight has become one of the most severe diseases influencing blueberry productivity and quality in China. In this study, eight fungal isolates were obtained from twenty stem blight lesions of blueberry collected in Nanping, Fujian province, China. Asexual stage was observed after inducing sporulation, the morphology of which agrees withMacrophominain the black, smooth, hard sclerotia and ellipsoid to obovoid, smooth hyaline conidia with apical sheath. Furthermore, DNA sequences of concatenated ITS,tef1-α,TUB, andACTloci indicated that these isolates belong to a novel fungal species. The distinguishing morphological characteristics, such as the wider conidia and larger conidiomata pycnidial, also support its new status. Thus a novel fungus,Macrophominavaccinii, was described in this study. Pathogenicity tests indicated thatM.vacciniicould cause stem blight of blueberry.