bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organisational Pathologies Under Conditions of Economic Downswing
Authors: Pasieczny Jacek 
Published: June 2017

AbstractThe topic of organisational pathology is surprisingly absent in literature on management, especially when bearing in mind the theoretical and practical import of such questions. The intention of the author is to fill in this gap, at least partially. The paper is based on an analysis of literature and an empirical research conducted by the author. The research applied partially structured interviews as its method. These interviews were conducted with entrepreneurs and managers of various levels. They made possible the drawing of conclusions relating to conditions behind the genesis and growth of selected organisational pathologies in a situation of economic downswing. The article briefly presents the concept and influence of pathology on the functioning of an organisation. The author concentrates on the causes of the phenomenon and presents them from various perspectives. It is during times of economic downswing that an increase in unethical behaviour, including corruption, mobbing as well as others, becomes particularly visible. Also noticeable is concentrating on limiting costs, which can sometimes reach pathological scale. This can lead to a permanent loss of pro-development potential by the organisation. Moreover, numerous pathological phenomena emerge at the tangent point of the organisation and its surroundings. The source of many undesirable phenomena in the organisation and in its relations with its surroundings is a fall in trust, which makes its appearance in crisis situations. More often than not, managers facing a situation in which they have no choice perpetuate organisational pathologies, whilst, at the same time, being aware of the lack of validity of their actions. However, a more frequent source of problems is the differences in perspective in perceiving organisational phenomena by various actors and stakeholders.
The combined exposure to intra-amniotic inflammation and neonatal respiratory distress syndrome increases the risk of intraventricular hemorrhage in preterm neonates
Authors: Oh Kyung Joon , Park Jee Yoon , Lee JoonHo , Hong Joon-Seok , Romero Roberto , Yoon Bo Hyun 
Published: June 2017

Abstract

Objective:
To evaluate the impact of combined exposure to intra-amniotic inflammation and neonatal respiratory distress syndrome (RDS) on the development of intraventricular hemorrhage (IVH) in preterm neonates.

Methods:
This retrospective cohort study includes 207 consecutive preterm births (24.0–33.0 weeks of gestation). Intra-amniotic inflammation was defined as an amniotic fluid matrix metalloproteinase-8 concentration >23 ng/mL. According to McMenamin’s classification, IVH was defined as grade II or higher when detected by neurosonography within the first weeks of life.

Results:
(1) IVH was diagnosed in 6.8% (14/207) of neonates in the study population; (2) IVH was frequent among newborns exposed to intra-amniotic inflammation when followed by postnatal RDS [33% (6/18)]. The frequency of IVH was 7% (8/115) among neonates exposed to either of these conditions – intra-amniotic inflammation or RDS – and 0% (0/64) among those who were not exposed to these conditions; and (3) Neonates exposed to intra-amniotic inflammation and postnatal RDS had a significantly higher risk of IVH than those with only intra-amniotic inflammation [odds ratio (OR) 4.6, 95% confidence interval (CI) 1.1–19.3] and those with RDS alone (OR 5.6, 95% CI 1.0–30.9), after adjusting for gestational age.

Conclusion:
The combined exposure to intra-amniotic inflammation and postnatal RDS markedly increased the risk of IVH in preterm neonates.
Crystal structure of poly[diaqua-(μ2-4,4′-bipyridine-κ2
N:N′)manganese(II)] bis(4-chlorobenzenesulfonate) – 4,4′-bipyridine – water (1/1/2) C42H40Cl2MnN6O10S2
Authors: Chen Xiao-Miao , Liu Zheng-Jun , Deng Tao-Li 
Published: June 2017

Abstract
C42H40Cl2MnN6O10S2, monoclinic, C2/c (no. 15), a = 16.822(14) Å, b = 11.552(9) Å, c = 22.021(17) Å, β = 91.920(13)°, V = 4277(6) Å3, Z = 4, R
gt(F) = 0.0641, wR
ref(F
2) = 0.1654, T = 296 K.
Crystal structure of the first characterized polymeric copper and sodium complex diaqua-(tris-acetato-κO,O′)(μ2-acetato-κO′′)dinatrium copper(II) monohydrate, C8H18CuNa2O11
Authors: Ali Syed Saeed , Amer Alanazi , Al-Obaid Abdul-Rahman M. , Hosten Eric C. , Betz Richard , Al-Salem Huda Salem , Bari Ahmed 
Published: June 2017

Abstract
C8H18CuNa2O11, monoclinic, P21/n (no. 14), a = 9.9625(5) Å, b = 14.0145(7) Å, c = 11.3376(6) Å, β = 97.602(2)°, V = 1569.04(14) Å3, Z = 4, R
gt(F) = 0.0178, wR
ref(F
2) = 0.0482, T = 200 K.
Crystal structure of tetrakis(μ3-2-(N-(2-hydroxyethyl)amino)ethoxo)-tetrachloro-tetra-cobalt(II) methanol solvate, C17H44Cl4Co4N4O9
Authors: Yuhua Guo , Youzhu Yu , Weiyun Shi , Aimin Wei , Fengli Wang 
Published: June 2017

Abstract
C17H44Cl4Co4N4O9, triclinic, P1̅ (no. 2), a = 10.918(14) Å, b = 11.899(15) Å, c = 13.327(17) Å, α = 91.286(13)°, β = 91.755(14)°, γ = 111.673(13)°, V = 1607(4) Å3, Z = 2, R
gt(F) = 0.0308, wR
ref(F
2) = 0.1257, T = 293(2) K.
Crystal structure of (E)-2,3-dihydroxybenzaldehyde O-(2-((((E)-1-(2,5-dihydroxyphenyl)ethylidene)amino)oxy)ethyl) oxime monohydrate, C17H20N2O7
Authors: Zheng Shan-Shan , Zhao Qing , Zhang Yang , Dong Wen-Kui 
Published: June 2017

Abstract
C17H20N2O7, monoclinic, P21/c (no. 14), a = 4.6318(11) Å, b = 13.472(3) Å, c = 27.120(7) Å, β = 91.081(5)°, V = 1692.1(7) Å3, Z = 4, R
gt(F) = 0.0637, wR
ref(F
2) = 0.1297, T = 298(2) K.
Acquisition of adverbs and pronominal adverbs in a Czech child
Authors: Chejnová Pavla 
Published: June 2017

Abstract
This article addresses the acquisition of adverbs in a Czech monolingual boy from speech onset until age 6. This study is based on an analysis of authentic material: a corpus of transcriptions of audio recordings of the child in verbal interaction with adults, and diary records. The acquisition sequence and adverbial type frequency were analysed. The boy acquired adverbs of place first; although direction was acquired before location, location became more frequent. Adverbs relating to time were developed second, and location in time and repetition were the most frequent temporal aspects. Adverbs of degree followed; adverbs related to high degree were more frequently expressed than adverbs related to low degree. Adverbs of manner appeared last, in which adverbs related to a broader evaluative sense prevailed. Adverbs related to cause were manifested mostly by the interrogative proč / why. Interrelation between the acquisition of nominal and verbal categories was found: when the child acquired the category of nominal case and was able to use the construction of preposition + noun, the percentage of adverbs of place decreased. When he acquired the verbal aspect, the percentage of adverbs related to time decreased.
La valoración de la lengua en hablantes bilingües náhuatl-español. Un estudio de caso / The valuation of the language in bilingual speakers (náhuatl-spanish.). A case study
Authors: López Nájera Cinthia Jazmín , Castillo Castillo Olivia , Carrera García Guillermo 
Published: June 2017

La vitalidad de una lengua depende de sus hablantes, pero ¿qué sucede cuándo los hablantes deciden ya no hacer uso de ella? En este artículo se reportan los primeros resultados del análisis realizado a entrevistas de hablantes bilingües ¾náhuatl-español¾, de la comunidad de San Miguel Canoa, en el Estado de Puebla en México; en donde más del 60% de su población reporta conocer la lengua náhuatl (INEGI, 2010) y al mismo tiempo manifiesta que los usuarios activos de la lengua se encuentran en hablantes mayores de 25 años. El análisis de este trabajo: Teoría de la valoración; (Martin & White, 2003; Eggins, 2005; Matthiessen, 2013 ), muestra una significativa correlación entre la pérdida de la lengua náhuatl y la valoración que hacen los hablantes de la misma.
Variables sexuales, emocionales y físicas asociadas a la respuesta sexual en mujeres / Sexual, emotional and physical variables associated with sexual response in women
Authors: Cibrián Llanderal Tamara , Cadena Barajas Martín , Cuervo Ledesma Fernanda , Martínez Fuentes Eva 
Published: June 2017

El objetivo de este estudio fue determinar la relación de variables sociodemográficas, físicas y emocionales con la satisfacción sexual. Los datos fueron recabados de octubre de 2014 a abril de 2015. La muestra fue de 300 mujeres de 18 a 50 años que vivieran en la comunidad de Xalapa, Veracruz, México y respondieran un cuestionario en línea y al Índice de Satisfacción Sexual. El análisis estadístico para encontrar la relación entre variables se realizó mediante la prueba estadística de independencia chi- cuadrada de Pearson. Los resultados muestran que el 59.3 % de las mujeres se encuentra sexualmente satisfechas y el 40.6 % no satisfechas. Se determinó la asociación de variables entre la satisfacción sexual y variables sociodemográficas (estado civil) variables físicas (presencia y frecuencia de diferentes tipos de orgasmos) y variables emocionales (tipo de actividad sexual y prejuicio ante el sexo). El presente trabajo aporta datos relevantes en relación a la satisfacción y el deseo sexual de mujeres de Xalapa, Ver., México
Gene2Function: An Integrated Online Resource for Gene Function Discovery
Authors: Hu Yanhui , Comjean Aram , Mohr Stephanie E ,   The FlyBase Consortium, Perrimon Norbert 
Published: June 2017

Abstract
One of the most powerful ways to develop hypotheses regarding the biological functions of conserved genes in a given species, such as humans, is to first look at what is known about their function in another species. Model organism databases and other resources are rich with functional information but difficult to mine. Gene2Function addresses a broad need by integrating information about conserved genes in a single online resource.
Feet injuries in children with tarsal coalitions
Authors: Sapogovskiy Andrei V. 
Published: June 2017

Introduction. Tarsal coalition is a foot bone malformation, characterized by bony, cartilaginous or fibrosis fusion between the tarsal bones. It clinically appears as decreased mobility of the tarsal joints. This feature can be predicting factor for feet injuries.
Aim: This study analyzed the frequency and nature of the injuries of the feet in patients with tarsal coalitions.
Materials and methods. TThe article presents data on the frequency and nature of feet injuries in patients with tarsal coalitions (22 patients (30 feet) with talocalcaneal coalitions and 28 patients (45 feet) with calcaneonavicular coalitions) aged 12 to 18 years. The control group included 50 patients (80 feet) with flatfeet without tarsal coalitions, aged 12 to 15 years. The study was a retrospective analysis of anamnestic data of feet injuries.
Results. The study found patients with tarsal coalitions had a significantly higher incidence of ankle sprains (the general group – 26 patients (52%) versus the control group – 12 (24%).
Conclusion. Tarsal coalition can be predicting factor to feet injuries. Patients with tarsal coalitions should consider this concern for sports activities. They can use different orthoses, tape, or choose not to engage in traumatic sports to avoid ankle sprains.
Vibration signal analysis and fault diagnosis of bogies of the high-speed train based on deep neural networks
Authors: Zhao Yang , Guo Zheng Hong , Yan Jian Ming 
Published: June 2017

Bogie is the most important component in a running gear of a high-speed train. Advantages and disadvantages of its mechanical performance can directly influence safety and comfort of train running. Failure of key components on the bogie always leads to serious vibration and performance decrease of each train component, and can even cause serious accidents such as de-railing and overturning. Therefore, it is very necessary to adopt an efficient and accurate intelligent diagnosis method. Based on the previous researches, the paper proposed a deep neural network method to make systematic and complete diagnosis of bogie faults. Firstly, a deep neural network was used to diagnose standard bearing system faults, and the results were compared with those obtained by traditional neural networks such as FANN (Firefly Artificial Neural Network), PSONN (Particle Swarm Optimization Neural Network) and GANN (Genetic Artificial Neural Network) to highlight advantages of the deep neural network. Then, based on vibration data extracted by a multi-body dynamic model of the high-speed train, the deep neural network was used to diagnose 8 conditions of the bogie systematically. The fault diagnosis was repeated for 10 times. Results obtained for the 10 times present obvious advantages of the deep neural network which could obtain the average diagnosis rate of 98.3 % and had the diagnosis standard deviation of 0.71. Finally, training process of fault diagnosis was extracted. Results show that the deep neural network could converge to a critical value at the quickest speed. All the above analysis results indicate that the deep neural network has irreplaceable advantages in intelligent diagnosis of bogies.
Acoustic characteristic analysis of the non-smooth surface fan of off-highway machinery
Authors: Yang Liu , Qin Si Cheng , Liu Liu 
Published: June 2017

Cooling fan, as an important component of the Off-Highway machinery cooling system, is becoming the largest noise source when it is rotating fast. So, it is the key to suppress the noise from cooling fan in reducing noise in the Off-Highway machinery. In this study, we designed a kind of non-smooth surface cooling fan which could reduce noise strongly, by adding two kinds of non- smooth features on the smooth surface of the forward-skewed fan, and also combining the CFD virtual wind tunnel simulation with bench test to analyze features of flow field and noise. Comparing the experimental data shows that the new fan effectively suppressed the vortex of the power cabin; the effect to reduce noise is proportional to the rotate speed, and with the rated speed, the total noise is reduced 20.9 % and the peak noise is reduced 21.5 % than the original arc bending plate fan in wheel loaders.
Experimental research and numerical analysis on vibroacoustic characteristics of the laminated composite plate and its application in high-speed trains
Authors: Wu Jin Mei 
Published: June 2017

This paper firstly used the finite element method to study the impact of air coupling on the structural radiation noise of thin plates and conducted a comparative analysis on the vibration noise of thin plates in the water and air. Results showed that coupling effect and medium property had an obvious influence on the radiation noise of thin plates, and these factors must be considered. Secondly, this paper proposed laminated plates based on the single-layered thin plate. The related experiment of laminated plates was conducted and compared with the computational result to verify its reliability. As an important parameter of laminated plates, laying angle can change the structural stiffness of laminated plates and mechanical properties. Therefore, based on the verified computation model, this paper studied the radiation noise of laminated plates through changing the laying angle of laminated plates, improved the vibration noise of laminated plates through applying control forces. As a result, a laminated plate with the optimal performance can be obtained. Finally, laminated composite plates were applied to the inner surface of panels which had made greater acoustic contributions to high-speed trains and controlled the vibration noise of high-speed trains through applying control forces. Results showed that the peak noise of high-speed trains was obviously improved at multiple frequencies and total sound power levels reduced by 23.1 dB.
Nano-Scale Movement Induced In Graphene Ripples by Multi-Probe Microscopy
Authors: Alyobi Mona , Barnett Chris , Cobley Richard 
Published: June 2017

Abstract— An Omicron low temperature multi-probe technique is used for manipulation of mechanically exfoliated suspended and attached graphene sheets on SiO2 substrates. Scanning electron microscopy (SEM) and Raman spectroscopy are used to detect the graphene sheets and determine their thicknesses and quality, respectively. The interaction of the etched tungsten tip with the graphene is used to lift and release the sheet and induce artificial ripples. Both suspended and attached sheets onto the substrates show different behaviour in response to bias voltage.
IndexTerms: graphene,multi-probe microscopy, ripples.
Stability Analysis of a High Stone Retaining Wall: A Case of Eskipazar/Turkey
Authors: Keskin İnan 
Published: June 2017

Abstract— The use of natural stones in retaining wall has been a tradition and common practice throughout human history. Stone retaining walls are load bearing retaining walls, which have long been analyzed by considering the equilibrium of forces and moments applied to the wall treated as a rigid solid. Stone retaining walls can be designed for the provision of some slope stability. This paper provides a review of stability analysis of high stone retaining walls. This paper provides a review of stability analysis of high stone retaining walls using Geo5 software. The stone retaining wall examined in this study is located in Karabük (Turkey). The study area was located near of the North Anatolian Fault Line (NAF) which are the most important fault lines in Turkey. For that reason, the stability analyzes were carried out considering the earthquake situation. The stone retaining wall is made of traverten type rock. This rock is a commonly observed rock type. The height of the analyzed wall is 10 m. A 5 kPa uniformly distributed load was adopted in the stability analysis to accommodate for the heaviest loading condition during construction. The analysis with Geo5 found a wall factor of safety 1.78. At this value, it shows that the wall will stable although it is very high.

Index Terms— Stone masonry walls, slope stability, Geo5, Turkey
Geophysical Investigation of Groundwater Level Using Vertical Electrical Sounding (A Case Study of Ewu in Edo State Nigeria)
Authors: Gilbert Idiegbe Onoriode , Lawrence Atumah Oyibo 
Published: June 2017

Abstract- In this research work, four Vertical Electrical Soundings (VES) were carried out in Ewu Town at various locations: Eguare-Ewu, Idunwele-Ewu, Flour Mill Road-Ewu and Eko-Ewu using the ABEM terrameter, by employing the Schlumberger electrode configuration system to determine the level of groundwater. From the analysis of field data and results of computer iteration, a maximum of four geoelectric layers were obtained. The first layer of geoelectric section was the lateritic top soil with thickness of 1.21m and 11.1m, for VES 1 and VES 2, with apparent resistivity of 438Ωm and 183Ωm. The possible aquiferous zone for sustaining groundwater are within the second and third layers for VES 1 and the fourth layer for VES 2, at a depth of 2.67m – 47m and infinity respectively. The apparent resistivity of the aquiferous layers of VES 1 and VES 2 are 797Ωm and 362Ωm respectively, which is fine sand layer. The apparent resistivity of the aquiferous layers of VES 3 and VES 4 are 5511Ωm and 129Ωm respectively with infinity thickness.
Key words: Geoelectric layer, aquiferous layers, groundwater
A Survey of Collaborative Filtering Recommender Algorithms and Their Evaluation Metrics
Authors: Jalili Mahdi 
Published: June 2017

Abstract—Recommender systems are often used to provide useful recommendations for users. They use previous history of the users-items interactions, e.g. purchase history and/or users rating on items, to provide a suitable recommendation list for any target user. They may also use contextual information available about items and users. Collaborative filtering algorithm and its variants are the most successful recommendation algorithms that have been applied to many applications. Collaborative filtering method works by first finding the most similar users (or items) for a target user (or items), and then building the recommendation lists. There is no unique evaluation metric to assess the performance of recommendations systems, and one often choose the one most appropriate for the application in hand. This paper compares the performance of a number of well-known collaborative filtering algorithms on movie recommendation. To this end, a number of performance criteria are used to test the algorithms. The algorithms are ranked for each evaluation metric and a rank aggregation method is used to determine the wining algorithm. Our experiments show that the probabilistic matrix factorization has the top performance in this dataset, followed by item-based and user-based collaborative filtering. Non-negative matrix factorization and Slope 1 has the worst performance among the considered algorithms.
Keywords—Social networks analysis and mining, big data, recommender systems, collaborative filtering.
From 'Good' to 'Right' Islam: The Categories and Concepts in the Modern Russian Analytics and ideology Language
Authors: Alexeev Igor , Ragozina Sofya 
Published: June 2017

In this paper, we examine in detail certain patterns formed in the structure of knowledge about Islam in modern Russia, analyze statements made by a number of representatives of various professional and social groups, and pinpoint certain linguistic and discursive strategies using Laсlau and Mouffe’s (2001) concept of “hegemonic discourse” and a theory of authoritative discourse set forth by Yurchak (2014). The intertextuality of expert, political, and Muslim discourses suggests the emergence of an authoritative Islamic discourse, which, however, can exist only situationally. The central element of this discourse is a concept of “traditional Islam,” which is one of the most important aspects of our analysis.