bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can image enhancement allow radiation dose to be reduced whilst maintaining the perceived diagnostic image quality required for coronary angiography?
Authors: Joshi Anuja , Gislason-Lee Amber J , Keeble Claire , Sivananthan Uduvil M , Davies Andrew G 
Published: January 2017

Objective:
The aim of this research was to quantify the reduction in radiation dose facilitated by image processing alone for percutaneous coronary intervention (PCI) patient angiograms, without reducing the perceived image quality required to confidently make a diagnosis.

Methods:
Incremental amounts of image noise were added to five PCI angiograms, simulating the angiogram as having been acquired at corresponding lower dose levels (10–89% dose reduction). 16 observers with relevant experience scored the image quality of these angiograms in 3 states—with no image processing and with 2 different modern image processing algorithms applied. These algorithms are used on state-of-the-art and previous generation cardiac interventional X-ray systems. Ordinal regression allowing for random effects and the delta method were used to quantify the dose reduction possible by the processing algorithms, for equivalent image quality scores.

Results:
Observers rated the quality of the images processed with the state-of-the-art and previous generation image processing with a 24.9% and 15.6% dose reduction, respectively, as equivalent in quality to the unenhanced images. The dose reduction facilitated by the state-of-the-art image processing relative to previous generation processing was 10.3%.

Conclusion:
Results demonstrate that statistically significant dose reduction can be facilitated with no loss in perceived image quality using modern image enhancement; the most recent processing algorithm was more effective in preserving image quality at lower doses.

Advances in knowledge:
Image enhancement was shown to maintain perceived image quality in coronary angiography at a reduced level of radiation dose using computer software to produce synthetic images from real angiograms simulating a reduction in dose.
The phoresy of the louse Mallophaga on the population of the louse-fly Hippoboscidae
Authors: Матюхин  , Matyukhin A. 
Published: January 2017

Objective of research: To study the role of phoresy of the louse Mallophaga on the population of the louse-fly Hippoboscidae.
Material and methods: In 1997–2015 more than 10000 birds were caught; from them about 2000 louse-flies Hippoboscidae were collected and studied.
Results and discussion: 12 cases of phoresy of the louse Mallophaga on the louse-fly Hippoboscidae were recorded: 7 cases of phoresy of Columbicola columbae on pigeon louse flies Pseudolynchia canariensis collected from pigeons (Columba livia); one case — phoresy of the louse Ricinus rubeculae on the louse fly Orniyhomyia fringillina from the robin (Erithacus rubecula); one case — phoresy of the louse on the louse fly O. avicularia from the rook (Corvus frugilegus); one — phoresy of the louse on louse fly O. avicularia from the cuckoo (Cuculus canorus); one — phoresy of the louse on the louse fly Ornithoica turdi from the nightingale (Luscinia luscinia); one case — phoresy of the louse on the louse fly O. chloropus from Luscinia svecica.
GIS-based risk monitoring of zoonotic cestodiasis in human
Authors: Новосад  , Novosad E. , Христиановский  , Khristianovskiy Pavel 
Published: January 2017

Objective of research: The target of the paper is to develop a model of GIS-based risk monitoring of zoonotic cestodiasis in human.
Materials and methods: The use of geographic information systems (GIS) as an epizootiological and epidemiological method for the risk-based monitoring of human cestodiasis enables the development of a multi-level platform for solution of a wide range of tasks related to the control of this disease. The modern GIS tools use the methods of geoinformatics applying powerful software and hardware: open access geographic web servers, tools for multidimensional complex analysis, creating most accurate electronic and paper maps. Full-featured GIS contain a full set for processing geospatial data including acquisition of data, its integration and storage, automatic data processing, editing, creation and maintenance of topology, spatial analysis, access to the database management system (DBMS), visualization and creation of hard copies of any cartographic data.
Results and discussion: The use of GIS enables to study more closely the regularities of epizootic process, geography of human cestodiasis and to improve the methodology both for short-term and long-term retrospective epizootiological analyses.
The role of cytokines in the immunity development at helminthiasis
Authors: Гришина  , Grishina E. 
Published: January 2017

Intensive development of the parasitic diseases immunology in the past decade allows making a definite conclusion about the features of the immune response formation in helminthiasis and its key problems, such as short duration, low-efficiency and the ability to cause the development of immunopathological processes.
Objective of research: The aim of this review was to identify most significant stages of helminthiasis immunogenesis wich can cause its low protective ability, and for which further comprehensive study of modern molecular biologists, geneticists, biochemists, immunologists and parasitologists should be held to clarify the immunopathology induction mechanisms and improve methods of prophylaxis, diagnosis and treatment of these diseases.
Results and discussion. Studies have revealed that the main condition for relationship building in the system “parasite-host” is the presence of protection mechanisms in helminths against exposure to the host’s immune system and immunomodulation mechanisms up to the complete immunosuppression in host. Products of helminths vital activity, so-called secretory-excretory products (SEPs), as well as changed in the process of pathogenesis host proteins and cells become a powerful immune stimulus and activate mechanisms for general and local immunity. The following defense mechanism in helminthiasis is the most effective: participation of IgE antibodies class and IgG2 subclass which play a major role in the activation of cell adhesive activity; influence of cytotoxic T cells (T killer cells, CD8+ -cells); involvement of macrophages, activated with T-cells; work of induced effector cells (eosinophils, neutrophils, mast cells, platelets, etc.), and the results of natural killer (NK) and regulating Treg- lymphocyte population (CD4 + CD25 + -cells) activity. It was shown that helminthiasis is accompanied by oxidative stress, which is characterized by decreased activity of catalase, superoxide dismutase, and an increase of lipid peroxidation products, which may cause primary DNA damage underlying in gene and chromosomal mutations that is shown in prior studies. Parasites metabolites have a cytotoxic effect on somatic, generative and immune cells of host, causing the increase of apoptotic cells among them. Theoretical significance of the data on identification problems of helminthiases immunology is undoubted. Its practical implementation offers the significant increase in the effectiveness of helminthiasis prevention and control.
Faktor Prediktor Nefritis pada Anak dengan Purpura Henoch-Schonlein
Authors: Wardhana Ahmad Wisnu , Satria Cahya Dewi , Hapsara Sunartini 
Published: January 2017

Latar belakang. Penyakit purpura Henoch-Schonlein (PHS) dapat menyebabkan komplikasi nefritis. Nefritis PHS dapat membaik sendiri atau berkembang menjadi penyakit ginjal kronik. Beberapa faktor prediktor telah diketahui berhubungan dengan kejadian nefritis PHS.Tujuan. Menentukan usia ≥10 tahun, purpura persisten, gejala abdomen berat dan relaps sebagai faktor prediktor nefritis pada PHS.Metode. Dilakukan studi kohort retrospektif. Sampel penelitian adalah anak berusia 1 tahun – 18 tahun dengan PHS yang dirawat di Instalasi Kesehatan Anak RSUP Dr. Sardjito Yogyakarta periode Januari 2008-Agustus 2016 yang memenuhi kriteria inklusi. Sampel diambil secara konsekutif, kemudian diidentifikasi adanya faktor prediktor nefritis berdasarkan data rekam medis. Analisis bivariat untuk menghitung nilai p serta analisis multivariat dengan regresi logistik.Hasil. Diikutsertakan 80 pasien yang yang diikuti selama 6 bulan. Didapatkan nefritis pada 31 pasien (38,75%). Analisis bivariat dan multivariat menunjukkan bahwa hanya gejala abdomen berat yang merupakan faktor prediktor nefritis dengan nilai p=0,027 dan p=0,021, dan RR 3,759 (IK95%: 1,222-11,562).Kesimpulan. Gejala abdomen berat merupakan faktor prediktor pada kejadian nefritis PHS dan meningkatkan risiko 3,75 kali terjadinya nefritis PHS. Usia ≥10 tahun, purpura persisten, dan relaps tidak terbukti berpengaruh pada kejadian nefritis PHS.
The failure of the U.S. education research establishment to identify effective practices: Beware effective practices policies
Authors: Pogrow Stanley 
Published: January 2017

One of the major successes of advanced quantitative methods has been its seeming ability to provide unbiased determinations of which education practices are effective for education in general and for improving the educational achievement and opportunity of the neediest students. The power of this methodology as applied in the top education research journals has led to periodic implementation of federal and state effective practices policies. In such policies the government or its proxy determines which programs are effective and then requires or encourages schools to spend its funds exclusively on those proven programs. For example, the federal Investing in Innovation (i3) initiative requires those applying for its largest dissemination grants to have had their intervention validated as effective by the What Works Clearinghouse (WWC). Some are now even advocating that all expenditures of federal funds by school districts be restricted to purchasing research validated programs. While this seems like rational policy, between 1998 and 2002 I produced a series of articles that showed that the most research validated program to develop the reading skills of students born into poverty was not actually effective in practice. Was this dichotomy between published research proving something to be effective and what was happening in the real world an anomaly or a more widespread problem? This article (a) analyzes the validity of the gold standard scientific methodology used by the top research journals and WWC to determine whether practices are effective, and (b) examines the history of effective practices policies and their actual effectiveness. I conclude that the increasingly sophisticated methods used to assess the effectiveness of practices (a) are flawed and exaggerate actual effectiveness, and (b) do not provide the type of information practitioners need. As a result, research on effective practices tends to mislead rather than inform practice and are a major reason why efforts to reform high-poverty schools have had limited success. I therefore conclude that effective practices policies should not be implemented. I then suggest ideas for reforming the scientific process used to assess the effectiveness of education interventions.
Variasi Penambahan Media Adsorpsi Kontak Aerasi Sistem Nampan Bersusun (Tray Aerator) Terhadap Kadar Besi (Fe) Air Tanah Dangkal di Kabupaten Rembang
Authors: Joko Tri , Rachmawati Savitri 
Published: January 2017

Backgorund: People in the Jatihadi village are using dug wells water which contain high iron level. The average of iron level is 2.79 mg/l. Appropriate technology tray aerator with media contacts zeolite and activated carbon is the right solution to overcome the problems of high Fe content. This study aims to analyze the difference variation the addition of contact media adsorption on tray aerator for dug wells iron level in Jatihadi village, Sumber subdistrict, Rembang regency. Method: The design of this study is pre experiment research with one group pretest posttest design. We used Inductively Coupled Plasma (ICP) method to measure the iron level. Water sample volume for each aeration is 20 liters and there are 16 repetitions. The media that we used in this research is zeolite and activated carbon. Results: The result showed the average levels of iron before treatment is 2.79 mg/l, and after the first treatment down to 0.21 mg/l, after second treatment is 0.25 mg/l. Statistical analysis showed that there is no difference between variation of contact media adsorption for dug wells iron level, but Wilcoxon analysis showed that there is a significant difference between before and after treatment for adding zeolite or activated carbon. Conclusion: The efficiency of tray aerator with the addition of zeolite is higher than addition of activated carbon.
Hubungan kadar Pb dalam darah dengan prestasi belajar pada anak sekolah di SDN Grinting 01 Kecamatan Bulakamba Kabupaten Brebes
Authors: ROMLI M 
Published: January 2017

Title : Association between Blood Lead Level and Learning Achievement on the Students at Grinting 01 Elementary School, Bulakamba District, Brebes RegencyBackground: Plumbum (Pb) is a highly poisonous heavy metal, especially for the children. Pb enters the human body through the respiratory and gastrointestinal tract, and also skin. The aim of this study was to determine the correlation between blood lead level and the learning achievement on the students in Grinting 01 Elementary School, Bulakamba District, Brebes Regency. Methods: This study was an observational research using cross sectional design. The subjects were 51 students. The data were collected using interview and observational field. The exposure of blood lead level was measured by detecting Pb content in blood according to the result of laboratory test by ASS method (Atomic absorbance spectrometer), and the learning achievement was measured using MST (Middle Semester Test) score of the students. Univariate analysis and bivariate analysis (Chi-Square) were used to analyze the data. Results: The result of bivariate test indicated that there was no correlation between blood lead level and learning achievement with p >0.05. For in the ehole samples, the blood lead level were more than Normal standard of CDC (≥5 µg/dL) with the highest Pb in blood is 48.39 µg/dL and the lowest is 11.06 µg/dL. Conclusion: In conclusion, Pb concentration - in blood on the children does not influence the learning achievement directly.
Uncoupling between cerebral perfusion and oxygenation during incremental exercise in an athlete with postconcussion syndrome: a case report
Authors: Imhoff Sarah , Malenfant Simon , Nadreau Éric , Poirier Paul , Bailey Damian M. , Brassard Patrice 
Published: January 2017

AbstractHigh‐intensity exercise may pose a risk to patients with postconcussion syndrome (PCS) when symptomatic during exertion. The case of a paralympic athlete with PCS who experienced a succession of convulsion‐awakening periods and reported a marked increase in postconcussion symptoms after undergoing a graded symptom‐limited aerobic exercise protocol is presented. Potential mechanisms of cerebrovascular function failure are then discussed.
Chemical Composition and UVA-Protecting Activity of Extracts from Ligustrum vulgare and Olea europaea Leaves
Authors: Czerwińska Monika E. , Duszak Katarzyna , Parzonko Andrzej , Kiss Anna K. 
Published: January 2017

Abstract
Plants belonging to the family Oleaceae have been traditionally used in treatment of various inflammatory skin disorders. One of the most well-known species is Olea europaea L. (olive), cultivated in the Mediterranean countries. Another species is Ligustrum vulgare L. (common privet), occurring particularly in Northern Europe and Asia.
The aim of the study was a comparison of the composition of aqueous and ethanolic extracts from leaves of O. europaea and L. vulgare (HPLC-DAD-MS), and determination of the total content of phenolics and flavonoids, as well as the content of the major compound, oleuropein. Secondly, we aimed to study the protective effect of extracts on reactive oxygen species (ROS) production by human fibroblast cells (NHDF), cell viability (MTT assay), and apoptosis rate (Annexin V/propidium iodide staining) after UVA-irradiation.
The phytochemical analysis allowed us to identify compounds belonging to the groups of flavonoids, phenylpropanoids and secoiridoids in the extracts. The compounds from the group of lignans (olivil) were identified as being unique to O. europaea extracts. Echinacoside, ligustroflavone and ligustaloside A were identified in L. vulgare extracts in contrast to olive preparations. It was established that the aqueous and ethanolic extracts from leaves of both species, except the privet aqueous extract at a concentration of 5 μg/ml, did not show any significant inhibition of ROS production after UVA-irradiation in the model of NHDF cell line. The aqueous extracts of both species at concentrations of 5 and 25 μg/ml had a protective effect on the viability of UVA-treated cells in contrast to the ethanolic extract.
In conclusion, no significant difference in the activity of olive and privet leaf extracts has been observed, which suggests that both plant materials’ extracts, particularly aqueous ones, are effective herbal medicines and photoprotectors, which – to some extent – confirms the use of their preparations in skin disorders.
Framework for 2D-3D image fusion of infrared thermography with preoperative MRI
Authors: Hoffmann Nico , Weidner Florian , Urban Peter , Meyer Tobias , Schnabel Christian , Radev Yordan , Schackert Gabriele , Petersohn Uwe , Koch Edmund , Gumhold Stefan , Steiner Gerald , Kirsch Matthias 
Published: January 2017

AbstractMultimodal medical image fusion combines information of one or more images in order to improve the diagnostic value. While previous applications mainly focus on merging images from computed tomography, magnetic resonance imaging (MRI), ultrasonic and single-photon emission computed tomography, we propose a novel approach for the registration and fusion of preoperative 3D MRI with intraoperative 2D infrared thermography. Image-guided neurosurgeries are based on neuronavigation systems, which further allow us track the position and orientation of arbitrary cameras. Hereby, we are able to relate the 2D coordinate system of the infrared camera with the 3D MRI coordinate system. The registered image data are now combined by calibration-based image fusion in order to map our intraoperative 2D thermographic images onto the respective brain surface recovered from preoperative MRI. In extensive accuracy measurements, we found that the proposed framework achieves a mean accuracy of 2.46 mm.
A Game Theory Based Model for Internet Public Opinion’s Embryonic Stage
Authors: Chen Chen , Liu Honglu , Guan Xiaolan 
Published: January 2017

Abstract
The development of internet public opinion presents a certain ecological characteristics. According to the different characteristics, this paper divides internet public opinion into five stages. This paper focuses on the first stage in internet public opinion, from the perspective of qualitative and quantitative analysis, to have a definition of embryonic stage, characteristics, as well as composition. Then this paper analyzes the causes of the formation mechanism in internet public opinion’s embryonic stage with the method of game theory. After that, the concepts of hot source factors are introduced to construct the conceptual model of embryonic stage in internet public opinion. Finally, aiming at different types of hot source factors (internet public opinion events), we put forward the effective means to guide and control the development of embryonic stage.
A Fast and Simple Adaptive Bionic Wavelet Transform: ECG Baseline Shift Correction
Authors: Wang Ludi , Zhou Xiaoguang , Xing Ying , Liang Siqi 
Published: January 2017

Abstract
An ECG baseline shift correction method is presented on the base of the adaptive bionic wavelet transform. After modifying the bionic wavelet transform according to the characteristics of the ECG signal, we propose a novel adaptive BWT algorithm. Using the contaminated and actual data in the MIT-BIH database, the method of fast and simple adaptive bionic wavelet transform can effectively correct the baseline shift under the premise of maintaining the geometric characteristics of the ECG signal. Evaluation of the proposed method shows that the average improvement SNR of FABWT is 2.187 dB more than the CWT-based best case result.
Cloud Computing and Extreme Learning Machine for a Distributed Energy Consumption Forecasting in Equipment-Manufacturing Enterprises
Authors: Wang Rui-Dong , Sun Xue-Shan , Yang Xin , Hu Haiju 
Published: January 2017

Abstract
Energy consumption forecasting is a kind of fundamental work of the energy management in equipment-manufacturing enterprises, and an important way to reduce energy consumption. Therefore, this paper proposes an intellectualized, short-term distributed energy consumption forecasting model for equipment-manufacturing enterprises based on cloud computing and extreme learning machine considering the practical enterprise situation of massive and high-dimension data. The analysis of the real energy consumption data provided by LB Enterprise was undertaken and corresponding calculating experiments were completed using a 32-node cloud computing cluster. The experimental results show that the energy consumption forecasting accuracy of the proposed model is higher than the traditional support vector regression and the generalized neural network algorithm. Furthermore, the proposed forecasting algorithm possesses excellent parallel performance, overcomes the shortcoming of a single computer’s insufficient computing power when facing massive and high-dimensional data without increasing the cost.
Structural Robustness of Unidirectional Dependent Networks Based on Attack Strategies
Authors: Ma Longbang , Guo Ping , Zhao Juan , Qi Lei 
Published: January 2017

Abstract
Current works have been focused on the robustness of single network and interdependent networks. However, to be more correct, the dependence of many real systems should be described as unidirectional. To study the structural robustness of networks with unidirectional dependence, the dependent networks named UDN are proposed, the description of the propagation of failures in them is given, as well as the introduction of the attack strategies that the probability of a node being attacked depends on the degree (DP attack) or on the betweenness (BP attack) of this node. The simulated results show that UDN is more vulnerable to BP attack when is first attacked a node with high betweenness. Compared with the Interacting Networks (IN), the UDN is more fragile under the two attack’s strategies.
An Internal Clustering Validation Index for Boolean Data
Authors: Fu Liwei , Wu Sen 
Published: January 2017

Abstract
Internal clustering validation is recognized as one of the vital issues essential to clustering applications, especially when external information is not available. Existing measures have their limitations in different application circumstances. There are still some deficiencies for Internal Validation of Boolean clustering. This paper proposes a new Clustering Validation index based on Type of Attributes for Boolean data (CVTAB). It evaluates the clustering quality in the light of Dissimilarity of two clusters for Boolean Data (DBD). The attributes in the Boolean Data are categorized into three types: Type A, Type O and Type E representing respectively the attribute values 1,0 and not the same for all the objects in the set. When two clusters are composed into one, DBD applies the numbers of attributes with the types changed and the numbers of objects changed to measure dissimilarity of two clusters. CVTAB evaluates the clustering quality without respect to external information