bluuebunny/crossref_metadata_2025 huggingface dataset:
BEHAVIOR OF BREAST SELF EXAMINATION (BBS) ON FEMALE STUDENTS IN SMA NEGERI 6 PEKANBARU YEARS 2016
Authors: Maharani Riri , Fransisca Lisa
Published: March 2020

Breast Self Examination (BSE) is an examination technique where one woman check her own breasts with a look and feel with a finger to detect whether or not there is a lump in her breast ( Djawarut , 2014). BSE is one way to detect breast cancer early . According Sutjipto , at this time have been found with breast cancer at a young age . This study aims to determine the behavior of adolescent girls in SMA 6 Pekanbaru 2016 . This type of research is a quantitative analytical research. With design cross- sectional. The sample was SMA Negeri 6 Pekanbaru class X and XI which totaled 129 with a population of 371 people. The sampling technique used is stratified random sampling. The analysis used were univariate and bivariate with Chi Square test. Based on the results of the study showed most respondents did conduct BSE in 2 (1.6 %), respondents with low knowledge, 104 (100 %), respondents with negative attitudes were 107 (100 %), respondents were not doing as much as 110 (100 %), respondents who never get as much information as much as 105 (100 %), and respondents who have no family support as many as 106 (100 %), Based on the statistical test P value obtained from five variables < α (0.05), there is a significant relationship between knowledge, attitudes, actions, mass media and family support to conduct breast self-examination. Advice can be given is the school invited health authorities to work together to educate the student through counseling in an effort to improve reproductive health so that students know the importance of early behavioral measures BSE.
GAMBARAN SANITASI LINGKUNGAN MASYARAKAT TERHADAP KEJADIAN DBD DI RW 11 KELURAHAN SIDOMULYO TIMUR KECAMATAN MARPOYAN DAMAI PEKANBARU
Authors: Chairil - , Dames Azril
Published: March 2020

Dengue Fever (DHF) is a public health problem, in 2016 dengue cases continue to rise in the city of Pekanbaru, this led to some villages in the city of Pekanbaru including dengue endemic area. The purpose of this study was to determine the Community Environmental Sanitation Overview Of Genesis Dengue Hemorrhagic Fever (DHF) in RW 11 Sub Sidomulyo Eastern District of Marpoyan Peace Pekanbaru. This type of research accidental sampling. Methods using questionnaires and interviews were held on July 15, 2016 21-, 80 respondents. Results penelitiann not experienced DHF 97.5% on good sanitation and 58 environmental samples and on the category of poor environmental sanitation contained 22 samples with a total of 80 samples. As for sanitation affected by dengue in a good environment no (free DBD) and the poor environmental sanitation as many as 2 respondents (2.5%). This shows a good picture ofenvironmental sanitation reduced the risk of incidence of dengue and vice versa with a picture of poor environmental sanitation potentially affected by dengue. There is a link between the incidence of dengue with environmental sanitation.
ANALISIS KEBUTUHAN TENAGA PERAWAT POLIKLINIK DAN TENAGA TPPRJ BERDASARKAN INDIKATOR PELAYANAN RAWAT JALAN DENGAN JUMLAH KUNJUNGAN DI RUMAH SAKIT UMUM DAERAH ARIFIN ACHMAD PROVINSI RIAU PERIODE TRIWULAN TAHUN 2015
Authors: Daniati Sy. Effi
Published: March 2020

Rsud arifin achmad riau 17 service polyclinic by the number of nurse 75 people and numbers of workers tpprj as many as 8 people.Research objectives perceive the percentage visits outpatient.Research methodology deskriftif with the kind of research evaluation.The results of the study obtained visits per day 732 patients with the number of officials tpprj 8 people, visits new per day 113 with the number of officials as many as 2 people, the ratio new visits with a total visit as many as 15: 100 patients per day, the percentage service unit outpatient the visit is highest in the polyclinic a disease in with the lowest in the polyclinic psychology with numbers of workers nurse 75 power nurses and the ratio visits with exertion nurse as many as one nurses serving 11 patients.Need to evaluation with numbers of workers should 11 officers, on the ground in find there are six officer as need to the addition of 5 officers registration patients long to produce officers working optimal.
Comparison of Complex-Valued Independent Component Analysis Algorithms for EEG Data
Authors: Al-Saegh Ali
Published: March 2020

Independent Component Analysis (ICA) has been successfully applied to a variety of problems, from speaker identification and image processing to functional magnetic resonance imaging (fMRI) of the brain. In particular, it has been applied to analyze EEG data in order to estimate the sources form the measurements.
However, it soon became clear that for EEG signals the solutions found by ICA often depends on the particular ICA algorithm, and that the solutions may not always have a physiologically plausible interpretation. Therefore, nowadays many researchers are using ICA largely for artifact detection and removal from EEG, but not for the actual analysis of signals from cortical sources. However, a recent modification of an ICA algorithm has been applied successfully to EEG signals from the resting state. The key idea was to perform a particular preprocessing and then apply a complexvalued
ICA algorithm.
In this paper, we consider multiple complex-valued ICA algorithms and compare their performance on real-world resting state EEG data. Such a comparison is problematic because the way of mixing the original sources (the “ground truth”) is not known. We address this by developing proper measures to compare the results from multiple algorithms. The comparisons consider the ability of an algorithm to find interesting independent sources, i.e. those related to brain activity and not to artifact activity. The performance of locating a dipole for each separated independent component is considered in the comparison as well.
Our results suggest that when using complex-valued ICA algorithms on preprocessed signals the resting state EEG activity can be analyzed in terms of physiological properties. This reestablishes the suitability of ICA for EEG analysis beyond the detection and removal of artifacts with real-valued ICA applied to the signals in the time-domain.
Effect of Sampling Rate Reduction and Signal Filtering for Gunfire Sound Classification with Spectral Vector using ANN
Authors: Tangkawanit Settha , Kanprachar Surachet
Published: March 2020

To identify the type of the shooting gun, there are many important parameters to be considered. One key feature is the gunfire sound. It has been shown [1, 2] that applying the Artificial Neural Network or ANN to the gunfire sound database, the gunfire sound classification can be obtained. The input data to the ANN model was the frequency components in the frequency range at which occupying by the gunfire sound. It is seen that if the number of input frequency components is large, a significant computational resource is required. To reduce such resource so that the whole classification process can be done in a small device; for example, in a mobile phone, the sampling frequency is considered. In this research, the sampling frequency for transforming the input gunfire sound into a digital signal is varied from 44.1 kHz down to 4.41 kHz, so that the effect of the sampling frequency on the gunfire sound classification can be studied. 6 different types of gunfire sound are considered. In order to determine the effectiveness of the classification process, noise is also added to the gunfire sound samples; thus, different values of signal-to-noise ratio are considered.  Additionally, the effect of applying different types of signal filtering on the gunfire sound classification is taken into account. It is found that only reducing the sampling frequency on the input gunfire sound signal does not deliver a good performance in terms of gunfire sound classification. To obtained a good classification accuracy. signal filtering has to also be applied to the process. With Chebyshev Type II filter and 4.41 kHz sampling frequency, the obtained classification accuracy is all 100% for the practical range of SNR; that is, between 20 dB down to 5 dB. This impressive classification accuracy comes with a huge reduction on the computational resource; that is, 10 times reduction; since the sampling frequency is reduced from 44.1 kHz to 4.41 kHz. The findings from this work can be certainly applied to the gunfire sound classification system with limited computational resource in order to obtain high classification accuracy.
A Low-voltage Current-mode Electronically Controllable Four-quadrant Zero/span Circuit
Authors: Hirunporm Jirawat , Siripruchyanun Montree
Published: March 2020

A low-voltage four-quadrant current-mode current-controllable zero/span circuit is discussed. The circuit structure is based on CMOS current follower with adjustable current gain and 4 diodes, without any resistor. The proposed circuit has advantage in such low-voltage architecture biased with as low as ±0.5V power supply. It can generate four-quadrant outputs, without any changing circuit topology. Additionally, its zero and span levels can be independently tuned by electronic method though relative bias currents, where a low-offset output current can be achieved. The total power consumption is approximately 10µW, much lower than a traditional one. Simulation results are shown; it offers good performances of the proposed circuit as depicted. Furthermore, to extend the workability of the proposed zero/span circuit, its application in current-mode Wheatstone bridge to alleviate the offset problem.
A Machine Learning Approach for Coordinated Voltage and Reactive Power Control
Authors: Nakawiro Worawat
Published: March 2020

Increasing penetration of renewable energy sources in form of distributed generators has brought many technical challenges to distribution networks. Among those, voltage and reactive power control should be revised and improved. Existing and new control resources should be coordinated based on real-time information and in closed loop. To achieve this, machine learning (ML) can be used to map the relationship between the selected network information and the desired control output. In this paper, setting of the shunt compensator operating in capacitive or inductive modes is coordinated with the tap position of substation transformer by the developed ML. Dataset emulating network behaviour during a year operation is constructed for training ML. A multi-class classification problem is formulated. Simulation results show satisfactory accuracy for some classes.
High Directivity Broadband Hexagonal Fractal Ring Antenna with Modified Ground
Authors: Premathilake Tharanga , Jayasinghe Jeevani , Saraereh Omar , Esselle Karu , Khokle Rajas
Published: March 2020

A highly directive fractal antenna with a novel shape is proposed in this paper. Finite Element Method based simulations were carried out on the first three iterations of a hexagonal fractal ring and the performance was measured in terms of the resonant behavior, directivity, radiation efficiency, current distribution, and radiation pattern. The second iteration fractal antenna radiates well along the broadside direction at the fundamental mode of operation. The ground plane was modified to improve the performance further. The antenna, etched on an FR4 substrate, has a directivity of 11.8 dB along the broadside direction with multi-frequency broadband performance over the frequency range of 3.12-7.46 GHz. Therefore, the proposed fractal antenna can be used for Wireless LAN applications. The antenna was fabricated and measured in order to validate the results.
Multiband Probabilistic Cataloging: A Joint Fitting Approach to Point-source Detection and Deblending
Authors: Feder Richard M. , Portillo Stephen K. N. , Daylan Tansu , Finkbeiner Douglas
Published: March 2020

Probabilistic cataloging (PCAT) outperforms traditional cataloging methods on single-band optical data in crowded fields. We extend our work to multiple bands, achieving greater sensitivity (∼0.4 mag) and greater speed (500×) compared to previous single-band results. We demonstrate the effectiveness of multiband PCAT on mock data, in terms of both recovering accurate posteriors in the catalog space and directly deblending sources. When applied to Sloan Digital Sky Survey (SDSS) observations of M2, taking Hubble Space Telescope data as truth, our joint fit on r- and i-band data goes ∼0.4 mag deeper than single-band probabilistic cataloging and has a false discovery rate less than 20% for F606W ≤ 20. Compared to DAOPHOT, the two-band SDSS catalog fit goes nearly 1.5 mag deeper using the same data and maintains a lower false discovery rate down to F606W ∼ 20.5. Given recent improvements in computational speed, multiband PCAT shows promise in application to large-scale surveys and is a plausible framework for joint analysis of multi-instrument observational data. https://github.com/RichardFeder/multiband_pcat.
Magnetohydrodynamic Modeling of the Solar Wind Key Parameters and Current Sheets in the Heliosphere: Radial and Solar Cycle Evolution
Authors: Maiewski E. V. , Kislov R. A. , Khabarova O. V. , Malova H. V. , Popov V. Yu. , Petrukovich A. A. , Zelenyi L. M.
Published: March 2020

We develop an axisymmetric numerical MHD model that allows us to investigate the spatial characteristics of the interplanetary magnetic field (IMF) and key solar wind plasma parameters from 20 to 400 solar radii over all heliolatitudes. The study is aimed at an analysis of the evolution of the spatial structure of the heliosphere through the solar cycle. We consider various combinations of the relative input of the quadrupole and dipole harmonics of the solar magnetic field to imitate the solar cycle. Self-consistent solutions for the IMF, electric current, solar wind speed, density, thermal pressure, and temperature in the solar wind are obtained. The spatial evolution of the IMF and properties of quasi-stationary current sheets (QCSs) are analyzed during different phases of the solar cycle. It is shown that a classic low-latitude heliospheric current sheet is formed in the solar wind as a part of the system of longitudinal and latitudinal electric currents symmetric in the northern and southern hemispheres only during solar minimum. While the quadrupole magnetic field increases, the second QCS appears. The model successfully describes a smooth transition from the state of the fast solar wind at high heliolatitudes and the slow solar wind at low heliolatitudes at solar minimum to the solar wind speed of the same values in a wide range of heliolatitudes at solar maximum. It reproduces the actively debated phenomenon of the south–north asymmetry of the IMF in the heliosphere and shows the distribution of thermal plasma parameters consistent with observations.
Data-driven MHD Simulation of the Formation and Initiation of a Large-scale Preflare Magnetic Flux Rope in AR 12371
Authors: He Wen , Jiang Chaowei , Zou Peng , Duan Aiying , Feng Xueshang , Zuo Pingbing , Wang Yi
Published: March 2020

Solar eruptions are the most powerful drivers of space weather. To understand their cause and nature, it is crucial to know how the coronal magnetic field evolves before eruption. Here we study the formation process of a relatively large-scale magnetic flux rope (MFR) in active region NOAA 12371 that erupts with a major flare and coronal mass ejection on 2015 June 21. A data-driven numerical magnetohydrodynamic model is employed to simulate three-dimensional coronal magnetic field evolution of 1 day duration before the eruption. Comparison between the observed features and our modeled magnetic field discloses how the pre-eruption MFR forms. Initially, the magnetic field lines were weakly twisted as being simple sheared arcades. Then a long MFR was formed along the polarity inversion line due to the complex photospheric motion, which is mainly shearing rather than twisting. The presence of the MFR is evidenced by a coherent set of magnetic field lines with twist number above unity. Below the MFR a current sheet is shown in the model, suggesting that tether-cutting reconnection plays a key role in the MFR formation. The MFR’s flux grows as more and more field lines are twisted due to continuous injection of magnetic helicity by the photospheric motions. Meanwhile, the height of the MFR’s axis increases monotonely from its formation. By an analysis of the decay index of its overlying field, we suggest that this is because the MFR runs into the torus instability regime and becomes unstable, which finally triggers the eruption.
Orbital Evidences for Dark-matter-free Milky Way Dwarf Spheroidal Galaxies
Authors: Hammer Francois , Yang Yanbin , Arenou Frederic , Wang Jianling , Li Hefan , Bonifacio Piercarlo , Babusiaux Carine
Published: March 2020

The nature of Milky Way dwarf spheroidals (MW dSphs) has been questioned, in particular whether they are dominated by dark matter (DM). Here we investigate an alternative scenario, for which tidal shocks are exerted by the MW to DM-free dSphs after a first infall of their gas-rich progenitors, and for which theoretical calculations have been verified by pure N-body simulations. Whether or not the dSphs are on their first infall cannot be resolved on the sole basis of their star formation history. In fact, gas removal may cause complex gravitational instabilities, and near-pericenter passages can give rise to tidal disruptive processes. Advanced precision with the Gaia satellite in determining both their past orbital motions and the MW velocity curve is, however, providing crucial results. First, tidal shocks explain why DM-free dSphs are found preferentially near their pericenter, where they are in a destructive process, while their chance to be long-lived satellites is associated with a very low probability P ∼ 2 × 10−7, which is at odds with the current DM-dominated dSph scenario. Second, most dSph binding energies are consistent with a first infall. Third, the MW tidal shocks that predict the observed dSph velocity dispersions are themselves predicted in amplitude by the most accurate MW velocity curve. Fourth, tidal shocks accurately predict the forces or accelerations exerted at half-light radii of dSphs, including the MW and the Magellanic System gravitational attractions. The above is suggestive of dSphs that are DM-free and tidally shocked near their pericenters, which may provoke a significant quake in our understanding of near-field cosmology.
Correction of morphofunctional disorders of the cardiovascular system with asialized erythropoietin and arginase II selective inhibitors KUD 974 and KUD 259 in experimental preeclampsia
Authors: Lokteva Tatyana I. , Rozhkov Il’ya S. , Gureev Vladimir V. , Gureeva Anastasia V. , Zatolokina Marija A. , Avdeeva Elena V. , Zhilinkova Lyudmila A. , Prohoda Evgenij E. , Yarceva Elizoveta O.
Published: March 2020

Introduction: Preeclampsia remains one of the most common causes of maternal and perinatal mortality worldwide. A significant role in the pathogenesis of this pathology is assigned to placental ischemia and endothelial dysfunction. Therefore, the aim of the present study was to study the effectiveness of asialized erythropoietin and arginase II selec­tive inhibitors: KUD-259 and KUD-974 in the correction of morphofunctional disorders of the cardiovascular system in experimental preeclampsia.

Materials and methods: The study was performed in 260 female Wistar rats, each weighing 250–300 g. An AD­MA-like preeclampsia was reproduced in the experiment. To assess the emerging morphofunctional disorders, the fol­lowing parameters were used: blood pressure, coefficient of endothelial dysfunction, microcirculation in the placenta, proteinuria, fluid content in the omentum, concentration of terminal metabolites in the blood plasma, and morphometric parameters of fetuses.

Results and discussion: The administration of arginase II selective inhibitor KUD-974 in combination with asialized erythropoietin leads to a pronounced correction of emerging changes: a decrease in systolic and diastolic blood pres­sure in 1.5 and 1.7 times, a decrease in proteinuria in 3.6 times and a decrease in fluid content in the omentum. When arginase II selective inhibitor KUD 974 and asialized erythropoietin are used with methyldopa, the positive effects of the former are enhanced.

Conclusion: Arginase II selective inhibitors KUD-259 and KUD-974 and asialized erythropoietin have a pronounced positive effect on the correction of morphofunctional disorders in animals with ADMA-like preeclampsia.
Soins palliatifs à domicile : attentes des proches envers le médecin généraliste
Authors: Saussac Camille , Mathe Amandine , Burucoa Benoît , Dyl Céline
Published: March 2020

Les causes de rupture du maintien au domicile de personnes en fin de vie sont souvent liées à l’épuisement des proches et au sentiment d’insécurité. L’objectif de cette étude est de connaître les attentes envers le médecin généraliste (MG) de l’aidant principal d’une personne en phase palliative avancée au domicile. Il s’agit d’une étude qualitative sur la base de dix entretiens semi-directifs menés avec un guide d’entretien auprès de proches de personnes décédées. Les enregistrements ont fait l’objet d’une analyse de contenu. Les principales attentes envers le MG concernent sur le plan technique, un ajustement des thérapeutiques ; sur le plan organisationnel, une disponibilité importante ainsi qu’un lien entretenu avec les différents intervenants et les structures notamment de soins palliatifs ; sur le plan relationnel, une écoute et une information sur l’évolution de la maladie ; sur le plan décisionnel, le respect de la volonté du patient. Les résultats sont discutés à partir de trois concepts adaptés au MG, à savoir la capacité d’adaptation de sa pratique et de son savoir-être, l’anticipation des situations d’urgence et de l’évolution de la maladie, et enfin l’assurance d’une continuité des soins qui passe notamment par leur permanence et leur coordination. Les moyens dont dispose le MG paraissent insuffisants pour assurer le maintien à domicile devant la charge que représente un patient en phase palliative avancée. La diffusion de la démarche palliative au domicile et l’optimisation de l’interprofessionnalité auprès des personnes en fin de vie au domicile et de leurs proches sont à développer. L’enjeu est le respect de la demande du patient de mourir à son domicile.
Souffrance des proches de patients atteints d’une maladie en phase terminale : identifier pour mieux accompagner en milieu hospitalier
Authors: Tran Rosalie , Martinez Laura , Cantin Boris
Published: March 2020

La souffrance est une entité universelle, multidimensionnelle, mais aussi unique et personnelle, paradoxalement sous-diagnostiquée, alors qu’elle est omniprésente dans notre pratique en milieu hospitalier. Le but de cet article est de proposer au lecteur quelques pistes pour l’exploration et l’identification de la souffrance des proches de patients en situation palliative, et surtout quelques outils d’accompagnement et de soutien.
Symbolique et stratégies de déploiement des Technologies de l’Information
Authors: Martineau Régis , Tsoni Christina
Published: March 2020

Il existe tant de manières de « faire symbole » pour une TI qu’il est compliqué pour un manager d’en comprendre et d’en maîtriser toutes les dimensions. Comment prendre en compte cette dimension symbolique lors de leur déploiement ? À partir de la littérature, nous distinguons tout d’abord trois significations symboliques types associées à la TI : la TI comme Solution ; la TI comme Utopie ; et la TI comme Menace. Ensuite, nous proposons une description détaillée de ces trois significations symboliques, et les associons à des stratégies de déploiement. Cela permet enfin de proposer une grille descriptive, mobilisable par les managers, pour gérer la dimension symbolique lors du déploiement d’une TI.
Influence of sawdust particle size on fired clay brick properties
Authors: Thalmaier G. , Cobîrzan N. , Balog A. A. , Constantinescu H. , Streza M. , Nasui M. , Neamtu B. V.
Published: March 2020

This study investigates the effect of adding different size fractions of the same pore forming agent (sawdust) on the material’s compressive strength and heat transfer. The samples were dry pressed and fired at high temperature inside an oven. Phase transformations were evidenced by a combination of differential thermal analysis, thermogravimetry and mass spectrometry (DTA-TGA-MS) and X-ray diffraction (XRD) techniques, in the temperature range of 24-900 ºC. Image analysis (IA) and compression tests were performed to explain the mechanical behaviour of the samples. The thermal conductivity was obtained by using combined photopyroelectric calorimetry (PPE) and lock-in thermography (LIT) techniques. The pressing direction has an impact on the distribution of pores and the heat transfer by conduction.
A Portable Electronic Transaction Device Based on Dual Interface Smart Card
Authors: Fuada Syifaul , Alfaruq Akhmad , Adiono Trio
Published: March 2020

In recent years, electronic money facilities are increasingly diverse. It may replace conventional payments. The use of physical money can be diminished by utilizing digital money, which is realized by smartphone apps, bar codes, smart cards, and so on. The types of smart cards used also vary, and it can be divided into two methods, i.e., with contacts and without contact. In this work, we develop electronic transaction devices using dual interfaces: contact and contactless smart cards. As computational processing, we employ the Raspberry Pi 3 Model 3. It has a high processing speed, large memory, and small size. Hence our system enables to compact in a portable box. The features offered on our transaction device are as follows: transaction menu, balance check menu, payment menu, and top up menu. Also, we provide a device transaction connection to the printer. Therefore, proof of transactions can be printed out easily. The device developed also provides a touch panel display to display the transaction menu.
Photonic Crystal and its Application as a Biosensor for the Early Detection of Cancerous Cells
Authors: Adoghe Anthony U , Noma-Osaghae Etinosa , Yabkwa Rimamchika Israel
Published: March 2020

The motivation for this paper is the strikingly sad statistics, obtained from various research bodies globally, regarding the effect of cancers on the global populace and the impact of current methods put in place for the early diagnosis of cancer. This paper is novel for many reasons. Primarily, it presents the use of an optical biosensor based on photonic crystal for cancer cell detection. This biosensor was recently developed as an ultra-compact biochemical sensor based on a 2D photonic crystal cavity known for altering its spectrum in proportion to minute changes in refractive index. Secondarily, The Finite Difference Time Domain (FDTD) and Plane Wave Expansion (PWE) techniques were applied to analyze the possibility of using photonic crystals as biosensors for the detection of cancer cells. The obtained resonant wavelength from the analysis of simulated results was 1.54964 µm and transmitted power obtained from the analysis was 51.9%. For the cancerous cell sample, The PC 12 Cell, the obtained resonant wavelength from analysis of the simulated results was 1.54964 µm and the transmitted power obtained from the analysis was 55.6%.
Monitoring Atrial Fibrillation using PPG Signals and a Smartphone
Authors: Estrella-Gallego Alejandro , Vazquez Briseno Mabel , Nieto-Hipolito Juan Ivan , Gutierrez-Lopez Everardo , Sanchez-Lopez Juan de Dios , Garcia-Berumen Armando , Rivera-Rodriguez Raul
Published: March 2020

Atrial fibrillation (AF) is a  common type of cardiac arrhythmia. AF is associated with increased rates of death and hospitalizations. It is also related to a degraded quality of life and reduced exercise capacity. Ageing increases the risk of developing AF, as well as hypertension and obesity. Continuous ECG monitoring is required in patients with previously diagnosed AF. Studies have also demonstrated that daily ECG monitoring increases the successful detection of silent AF among older adults. In this sense facilitating AF monitoring using portable devices such as Smartphones will increase patients life quality and could help to an early diagnosis. With this in mind in this work we present a proposal to detect AF using pulsatile photoplethysmogram (PPG) signal from a fingertip using the built-in camera lens in a smartphone. We developed an algorithm intended to sense paroxysmal AF considering resource utilization capabilities in order to be used in mobile devices with constrained.
Technological Development Process of Emotional Intelligence as a Therapeutic Recovery Implement in Children with ADHD and ASD Comorbidity
Authors: Bakola Lizeta N. , Drigas Athanasios
Published: March 2020

The perception, empathy, expression and regulation of emotion have been recognized as the determining factors to everyday communication and psychosocial adaptation in children. Deficits in them can cause emotional and social problems and affect everyday life. This paper aims at investigating by reviewing the current clinical and empirical knowledge of psychoemotional and social development as much as emotional intelligence in children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) coexistence looking into the emotion recognition deficits as well as processing, reciprocity and emotional expression deficits noticing and characterizing  these children mostly. Moreover they are considering and being studied the technical means and the ways that they could help in the development and growing of social skills and emotional intelligence. The results proclaimed that the therapeutic contribution of Information and Communication Technologies (ICTs) can be determinant.
Intestinal microbiota in the pathogenesis of chronic heart failure
Authors: Ivashkin Vladimir , Fadeeva Maria , Skhirtladze Manana , Zolnikova Oxana
Published: March 2020

In this review, we have considered and discussed the existing data to achieve a deeper understanding of the role of intestinal microbiota in the development and progression of chronic heart failure (CHF). The key moments of the CHF pathogenesis (an imbalance of neurohumoral systems, inflammatory theory and metabolic disorders) and the respective changes of the intestinal microflora composition were compared. Here, we also present the latest results of the positive influence of the microflora modulations on the course and prognosis of CHF with the prescribing antibiotics, probiotics and prebiotics.
Hypoglycemic effects of leaf extracts of Moringa oleifera and Vitex simplicifolia on blood glucose level of Wistar rat
Authors: Abdulrazak M. , Salim M.A. , El-ta'alu Abbas Bubakar
Published: March 2020

Diabetes mellitus (DM) is as a disorder that is characterized by increase in blood sugar levels, as well as disturbances in the metabolism of the three main classes of food. Whole plants or their parts serve as alternatives in the treatment of many diseases and, have, for a time immemorial, been very important in the health care delivery in many countries. The objective of this study was to compare the relative antihyperglycemic properties of Moringa oleifera and Vitex simplicifolia, as well as the reference drug glibenclamide, on blood sugar levels. DM was induced via intraperitoneal injection of alloxan monohydrate; levels of glucose in circulating blood were measured using a glucometer, by tail snip method. Potent oral hypoglycemic properties and thus, a fast onset of anti-diabetic activity was more pronounced in Vitex simplicifolia than in Moringa oleifera. The two were more potent than the reference drug, glibenclamide. The studied leaf extracts are relatively safe and could be used in the treatment of diabetes mellitus.
Renal cell carcinoma with ipsilateral duplex system: Case report and review of literature
Authors: Ugwu Jideofor Okechukwu , Ekwunife Okechukwu Hyginus , Ugwunne Chuka Abunike , Menkiti Felix I. , Osuigwe Andy Nwankwo
Published: March 2020

Renal cell carcinoma is the most common malignant renal tumour in adults but quite rare in children. Duplex renal collecting systems are relatively common congenital renal abnormalities. However, its coexistence with renal cell carcinoma is yet to be established beyond a mere coincidence. So far, there are only 2 cases of such coexistence in literature till date. We therefore report a case of a 13-year-old girl who was referred to us with a right flank mass. Abdominal computerized tomographic scan revealed a right renal tumour necessitating a laparotomy at which a duplex collecting system was discovered in the ipsilateral kidney and a nephrouterectomy was done with a histologic finding of renal cell carcinoma. We report this rare relationship and review of literature to stimulate further study into this rare association.
Fixed point sets of isotopies on surfaces
Authors: Béguin François , Crovisier Sylvain , Le Roux Frédéric
Published: March 2020

We consider a self-homeomorphism

h

of some surface

S

. A subset

F

of the fixed point set of

h

is said to be
unlinked
if there is an isotopy from the identity to

h

that fixes every point of

F

. With Le Calvez’ transverse foliations theory in mind, we prove the existence of unlinked sets that are maximal with respect to inclusion. As a byproduct, we prove the arcwise connectedness of the space of homeomorphisms of the 2-sphere that preserve orientation and pointwise fix some given closed connected set

F

.
WHO International Health Regulations Emergency Committee for the COVID-19 outbreak
Authors: Jee Youngmee
Published: March 2020

To discuss whether the coronavirus disease 2019 (COVID-19) outbreak constitutes a Public Health Emergency of International Concern (PHEIC), World Health Organization (WHO) organized the 15-member International Health Regulations Emergency Committee (EC). On January 22-23 and January 30, 2020, EC convened and discussed whether the situation in China and other countries would constitute PHEIC and issued recommendations for WHO, China and the international community. Based on the recommendations of EC, WHO declared the COVID-19 outbreak a PHEIC. One of the purposes of the declaration of PHEIC was to alarm countries with weak public health infrastructures to prepare promptly for emerging infectious diseases (EID) and provide WHO with a framework for proactively supporting those countries. On February 3, 2020, WHO proposed the 2019 COVID-19 Strategic Preparedness and Response Plan, which includes accelerating research and development (R&D) processes as one of three major strategies. On February 11-12, 2020, WHO held the Global Research and Innovation Forum: Towards a Research Roadmap for COVID-19. The fact that a COVID-19 R&D forum was the first meeting convened after the PHEIC declaration testifies to the importance of R&D in response to EID. Korea has demonstrated a remarkable capacity in its laboratory response by conducting high-throughput COVID-19 testing and utilizing innovative drive-through samplings. These measures for early detection and screening of cases should be followed by full efforts to produce research-based evidence by thoroughly analyzing epidemiological, clinical and immunological data, which will facilitate the development of vaccines and therapeutics for COVID-19. It is expected that Korea plays a global partner for COVID-19 research by actively participating in immediate and mid/long-term priorities jointly led by WHO and global partners.
Implementing the LFM-CW MIT Radar at the Ecuadorian Space Institute: Some Results
Authors: Zoraya Alfonso , Bolaños Rosa
Published: March 2020

This paper deals with the implementation of a version of the MIT LFM-CW radar at the Ecuadorian Space Institute. The effects of near and very near ranges, and free space loss in the performance of the image processing is theoretically revised. Subsequently, the implemented radar is tested in an imaging campaign on a small probing polygon, and very congruent results are obtained.
Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees
Authors: Wei Jing , Li Zhanqing , Cribb Maureen , Huang Wei , Xue Wenhao , Sun Lin , Guo Jianping , Peng Yiran , Li Jing , Lyapustin Alexei , Liu Lei , Wu Hao , Song Yimeng
Published: March 2020

Abstract. Fine particulate matter with aerodynamic diameters ≤2.5 µm
(PM2.5) has adverse effects on human health and the atmospheric
environment. The estimation of surface PM2.5 concentrations has made
intensive use of satellite-derived aerosol products. However, it has been a great challenge to obtain high-quality and high-resolution PM2.5 data from both ground and satellite observations, which is essential to monitor air pollution over small-scale areas such as metropolitan regions. Here, the space–time
extremely randomized trees (STET) model was enhanced by integrating updated
spatiotemporal information and additional auxiliary data to improve the
spatial resolution and overall accuracy of PM2.5 estimates across
China. To this end, the newly released Moderate Resolution Imaging
Spectroradiometer Multi-Angle Implementation of Atmospheric Correction AOD product, along with meteorological, topographical and land-use data and
pollution emissions, was input to the STET model, and daily 1 km PM2.5
maps for 2018 covering mainland China were produced. The STET model performed
well, with a high out-of-sample (out-of-station) cross-validation coefficient
of determination (R2) of 0.89 (0.88), a low root-mean-square error of
10.33 (10.93) µg m−3, a small mean absolute error of 6.69 (7.15) µg m−3 and a small mean relative error of 21.28 % (23.69 %).
In particular, the model captured well the PM2.5 concentrations at both
regional and individual site scales. The North China Plain, the Sichuan
Basin and Xinjiang Province always featured high PM2.5 pollution
levels, especially in winter. The STET model outperformed most models
presented in previous related studies, with a strong predictive power (e.g.,
monthly R2=0.80), which can be used to estimate historical
PM2.5 records. More importantly, this study provides a new approach
for obtaining high-resolution and high-quality PM2.5 dataset across mainland
China (i.e., ChinaHighPM2.5), important for air pollution studies
focused on urban areas.
Statistical regularization for trend detection: An integrated approach for detecting long-term trends from sparse tropospheric ozone profiles
Authors: Chang Kai-Lan , Cooper Owen R , Gaudel Audrey , Petropavlovskikh Irina , Thouret Valerie
Published: March 2020

Abstract. Detecting a tropospheric ozone trend from sparsely sampled ozonesonde profiles (typically once per week) is challenging due to the noise in the time series resulting from ozone's high temporal variability. To enhance trend detection we have developed a sophisticated statistical approach that utilizes a geoadditive model to assess ozone variability across a time series of vertical profiles. Treating the profile time series as a set of individual time series on discrete pressure surfaces, a class of smoothing spline ANOVA (analysis of variance) models is used for the purpose of jointly modeling multiple correlated time series (on separate pressure surfaces) by their associated seasonal and interannual variabilities. This integrated fit method filters out the unstructured noise through a statistical regularization (i.e. a roughness penalty), by taking advantage of the additional correlated data points available on the pressure surfaces above and below the surface of interest. We have applied this technique to the trend analysis of the vertically correlated time series of tropospheric ozone observations from 1) IAGOS (In-service Aircraft for a Global Observing System) commercial aircraft profiles above Europe and China, and 2) NOAA GMD's (Global Monitoring Division) ozonesonde records at Hilo, Hawaii and Trinidad Head, California. We illustrate the ability of this technique to detect a consistent trend estimate, and its effectiveness for reducing the associated uncertainty in the noisy profile data due to low sampling frequency. We also conducted a sensitivity analysis of frequent IAGOS profiles above Europe (approximately 120 profiles per month) to determine how many profiles in a month are required for reliable long-term trend detection. When ignoring the vertical correlation we found that a typical sampling strategy of 4 profiles-per-month results in 7 % of sampled trends falling outside the 2-sigma uncertainty interval derived from the full data set, with associated 10 % of mean absolute percentage error. We determined that an optimal sampling frequency is 14 profiles per month when using the integrated fit method for calculating trends; when the integrated fit method is not applied, the sampling frequency had to be increased to 18 profiles per month to achieve the same result. While our method improves trend detection from sparse data sets, the key to substantially reducing the uncertainty is to increase the sampling frequency.
Reviews and syntheses: Bacterial bioluminescence – ecology and impact in the biological carbon pump
Authors: Tanet Lisa , Martini Séverine , Casalot Laurie , Tamburini Christian
Published: March 2020

Abstract. Around thirty species of marine bacteria can emit light, a critical characteristic in the oceanic environment where the major part is deprived of sunlight. In this article, we first review current knowledge on bioluminescent bacteria symbiosis in light organs. Then, focusing on gut-associated bacteria, we highlight that recent works, based on omics methods, confirm previous claims about the prominence of bioluminescent bacterial species in fish guts. Such host-symbiont relationships are relatively well established and represent important knowledge in the bioluminescence field. However, the consequences of bioluminescent bacteria continuously released from light organ and through the digestive tracts to the seawater have been barely taken into account at the ecological and biogeochemical level. For too long neglected, we propose to consider the role of bioluminescent bacteria, and to reconsider the biological carbon pump taking into account the bioluminescence effect (bioluminescence shunt hypothesis). Indeed, it has been shown that marine snow and fecal pellets are often luminous due to microbial colonization, which makes them a visual target. These luminous particles seem preferentially consumed by organisms of higher trophic levels in comparison to non-luminous ones. As a consequence, the sinking rate of consumed particles could be either increased (due to repackaging) or reduced (due to sloppy feeding or coprophagy/coprorhexy) which can imply a major impact on global biological carbon fluxes. Finally, we propose a strategy, at a worldwide scale, relying on recently developed instrumentation and methodological tools to quantify the impact of bioluminescent bacteria in the biological carbon pump.
Changes in the high-latitude Southern Hemisphere through the Eocene–Oligocene transition: a model–data comparison
Authors: Kennedy-Asser Alan T. , Lunt Daniel J. , Valdes Paul J. , Ladant Jean-Baptiste , Frieling Joost , Lauretano Vittoria
Published: March 2020

Abstract. The global and regional climate changed dramatically with the
expansion of the Antarctic Ice Sheet at the Eocene–Oligocene transition
(EOT). These large-scale changes are generally linked to declining
atmospheric pCO2 levels and/or changes in Southern Ocean gateways such
as the Drake Passage around this time. To better understand the Southern
Hemisphere regional climatic changes and the impact of glaciation on the
Earth's oceans and atmosphere at the EOT, we compiled a database of 10
ocean and 4 land-surface temperature reconstructions from a range of proxy
records and compared this with a series of fully coupled, low-resolution
climate model simulations from two models (HadCM3BL and FOAM). Regional
patterns in the proxy records of temperature show that cooling across the
EOT was less at high latitudes and greater at mid-latitudes. While certain
climate model simulations show moderate–good performance at recreating the
temperature patterns shown in the data before and after the EOT, in general
the model simulations do not capture the absolute latitudinal temperature
gradient shown by the data, being too cold, particularly at high latitudes.
When taking into account the absolute temperature before and after the EOT,
as well as the change in temperature across it, simulations with a closed
Drake Passage before and after the EOT or with an opening of the Drake
Passage across the EOT perform poorly, whereas simulations with a drop in
atmospheric pCO2 in combination with ice growth generally perform
better. This provides further support for previous research that changes in
atmospheric pCO2 are more likely to have been the driver of the EOT
climatic changes, as opposed to the opening of the Drake Passage.
Large wood as a confounding factor in interpreting the width of spring-fed streams
Authors: Lapides Dana Ariel , Manga Michael
Published: March 2020

Abstract. Spring-fed streams throughout volcanic regions of the western United States exhibit larger widths than runoff-fed streams with similar discharge. Due to the distinctive damped hydrograph of spring-fed streams (as compared to large peaks visible in the hydrographs of runoff-fed streams), large wood is less mobile in spring-fed than runoff-fed stream channels, so wood is more likely to remain in place than form logjams as in runoff-fed streams. The consequent long residence time of wood in spring-fed streams allows wood to potentially have long-term impacts on channel morphology. We used high-resolution satellite imagery in combination with discharge and climate data from published reports and publicly available databases to investigate the relationship between discharge, wood length, and channel width in 38 spring-fed and 20 runoff-fed streams, additionally responding to a call for increased use of remote sensing to study wood dynamics and daylighting previously unpublished data. We identified an order of magnitude more logjams than single logs per unit length present in runoff-fed streams as compared to spring-fed streams. Histograms of log orientation in spring-fed streams additionally confirmed that single logs are immobile in the channel so that the impact of single logs on channel morphology could be pronounced in spring-fed streams. Based on these observed differences, we hypothesized that there should be a difference in channel morphology. A model for stream width in spring-fed streams based solely on length of wood is a better model than one derived from discharge or including both discharge and wood length. This study provides insights into controls on stream width in spring-fed streams.