bluuebunny/crossref_metadata_2025_split huggingface dataset:
SITUAÇÃO EPIDEMIOLÓGICA DA TRANSMISSÃO DA COVID-19 NO NORTE DE MINAS GERAIS, BRASIL
Authors: Magalhães Sandra Célia Muniz , Santos Flávia de Oliveira , Lima Samuel do Carmo , Fonseca Elivelton da Silva 
Published: July 2020

O Brasil é um país com extensa dimensão territorial e com acentuadas desigualdades socioeconômicas entre suas regiões, o que reflete diretamente no acesso à saúde, principalmente da população mais carente. O mesmo ocorre nos estados, como é o caso de Minas Gerais, com diversidade regional, com características sociais, econômicas e culturais variadas. Daí a importância de se promoverem estudos de cunho regional na tentativa de evidenciar as potencialidades e fragilidades que as regiões apresentam, para que, assim, as políticas públicas de saúde possam ser desenvolvidas com maior eficácia, possibilitando as autoridades sanitárias ações mais assertivas no combate a COVID-19. Em face a essa realidade, o presente artigo tem como objetivo apresentar uma reflexão sobre a situação epidemiológica da transmissão da covid-19 no norte de Minas Gerais, Brasil. Considerando que a pandemia de Covid-19 ainda não chegou definitivamente ao Norte de Minas, e que a relação leitos de UTI/população não é adequada, isso impõe ao Estado e às autoridades sanitárias da Região de Saúde tomar medidas urgentes para ampliar o número de leitos com respiradores para atender a demanda crescente que se espera, quando a região enfrentar o pico da pandemia. Outra questão importante é que a hora de estabelecer medidas que imponham o isolamento social com mais rigor é agora, para achatar a curva de transmissão, antes que o número de casos da doença cresça e a situação fique fora de controle.
Proyecto VALIDA: Validation of ALlergy In vitro Diagnostics Assays (Herramientas y recomendaciones para la valoración de las pruebas in vitro en el diagnóstico de la alergia)
Authors: Casas María L. , Esteban Ángel , González-Muñoz Miguel , Labrador-Horrillo Moisés , Pascal Mariona , Teniente-Serra Aina 
Published: July 2020

Resumen
En la evaluación del paciente con sospecha de alergia las pruebas de detección y cuantificación de la inmunoglobulina E (IgE) específica in vitro se usan de manera habitual en los laboratorios clínicos para ayudar en el diagnóstico de la alergia. Actualmente existen diferentes alternativas comerciales para realizar estos ensayos, pero los resultados obtenidos por cada uno de ellos pueden variar, lo que condiciona el diagnóstico y el tratamiento que se le proporcionará al paciente. Con el fin de dar respuesta a los retos planteados por las diferencias entre las distintas técnicas para la determinación in vitro de la IgE específica, un grupo de expertos ha recogido en un documento una serie de recomendaciones sobre las implicaciones que puede tener el uso de una determinada técnica in vitro y el impacto en el manejo del paciente alérgico que suponen las diferencias entre las distintas técnicas. La lectura y el análisis de este documento de consenso ayudarán a entender las implicaciones que tiene el cambio de método de diagnóstico in vitro en el manejo del paciente con alergia, en su calidad de vida y en los costes socioeconómicos asociados a la enfermedad.
Sparse-FCM and Deep Convolutional Neural Network for the segmentation and classification of acute lymphoblastic leukaemia
Authors: Praveena Segu , Singh Sohan Pal 
Published: July 2020

Abstract
Leukaemia detection and diagnosis in advance is the trending topic in the medical applications for reducing the death toll of patients with acute lymphoblastic leukaemia (ALL). For the detection of ALL, it is essential to analyse the white blood cells (WBCs) for which the blood smear images are employed. This paper proposes a new technique for the segmentation and classification of the acute lymphoblastic leukaemia. The proposed method of automatic leukaemia detection is based on the Deep Convolutional Neural Network (Deep CNN) that is trained using an optimization algorithm, named Grey wolf-based Jaya Optimization Algorithm (GreyJOA), which is developed using the Grey Wolf Optimizer (GWO) and Jaya Optimization Algorithm (JOA) that improves the global convergence. Initially, the input image is applied to pre-processing and the segmentation is performed using the Sparse Fuzzy C-Means (Sparse FCM) clustering algorithm. Then, the features, such as Local Directional Patterns (LDP) and colour histogram-based features, are extracted from the segments of the pre-processed input image. Finally, the extracted features are applied to the Deep CNN for the classification. The experimentation evaluation of the method using the images of the ALL IDB2 database reveals that the proposed method acquired a maximal accuracy, sensitivity, and specificity of 0.9350, 0.9528, and 0.9389, respectively.
Mangrove community response to subsidence inflicted sea level change in Car Nicobar Island, India
Authors: Prabakaran Nehru 
Published: July 2020

Abstract
The inter-specific resilience among mangrove species to sea level rise (SLR) is a key to design conservation strategies for this economically important ecosystem that is among the most vulnerable to SLR. Tectonic processes can cause sudden increases or drops in sea level due to subsidence or uplift of the land surface, which can also provide insights for the mangrove community responses to rapid sea level change. This study aimed to investigate the responses of mangrove species to rapid SLR caused by land subsidence of 1.1 m during the 2004 Sumatra-Andaman earthquake at Car Nicobar Island. The Rhizophora spp. showed remarkable resilience to this rapid SLR, while the landward mangrove vegetation comprising Bruguiera spp., Lumnitzera spp., Sonneratia spp. etc., were unable to survive. Also, Rhizophora spp. establishment in the previous landward mangrove zones was more rapid than the landward mangrove species establishment in the previous terrestrial zones. The observed resilience of Rhizophora spp. may be due to the local specific geological legacy and species-specific ecological processes. However, further studies focusing on microcosm experiments to understand the Rhizophora spp. resilience to rapid SLR at the study site is required to strengthen these observations.
The CRESS checklist for reporting stability studies: on behalf of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for the Preanalytical Phase (WG-PRE)
Authors: Cornes Michael , Simundic Ana-Maria , Cadamuro Janne , Costelloe Seán J. , Baird Geoffrey , Kristensen Gunn B. B. , von Meyer Alexander , Nybo Mads , Gómez Rioja Rubén ,   on behalf of the Working Group for the Preanalytical Phase (WG-PRE) of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)
Published: July 2020

Abstract
To ensure that clinical laboratories produce results that are both accurate and of clinical utility it is essential that only samples of adequate quality are analysed. Although various studies and databases assessing the stability of analytes in different settings do exist, guidance on how to perform and report stability studies is lacking. This results in studies that often do not report essential information, thus compromising transferability of the data. The aim of this manuscript is to describe the
C
hecklist for
R
eporting
S
tability
S
tudies (CRESS) against which future studies should be reported to ensure standardisation of reporting and easy assessment of transferability of studies to other healthcare settings. The EFLM WG-PRE (European Federation of Clinical Chemistry and Laboratory Medicine Working Group for the Preanalytical Phase) produced the CRESS checklist following a detailed literature review and extensive discussions resulting in consensus agreement. The checklist consists of 20 items covering all the aspects that should be considered when producing a report on a stability study including details of what should be included for each item and a rationale as to why. Adherence to the CRESS checklist will ensure that studies are reported in a transparent and replicable way. This will allow other laboratories to assess whether published data meet the stability criteria required in their own particular healthcare scenario. The EFLM WG-PRE encourage researchers and authors to use the CRESS checklist as a guide to planning stability studies and to produce standardised reporting of future stability studies.
A Wafer Bin Map “Relaxed” Clustering Algorithm for Improving Semiconductor Production Yield
Authors: Gallo Crescenzio , Capozzi Vito 
Published: July 2020

AbstractThe semiconductor manufacturing process involves long and complex activities, with intensive use of resources. Producers compete through the introduction of new technologies for increasing yield and reducing costs. So, yield improvement is becoming increasingly important since advanced production technologies are complex and interrelated. In particular, Wafer Bin Maps (WBMs) presenting specific fault models provide crucial information to keep track of process problems in semiconductor manufacturing. Production control is often based on the “judgement” of expert engineers who, however, carry out the analysis of map templates through simple visual exploration. In this way, existing studies are subjective, time consuming, and are also limited by the capacity of human recognition. This study proposes a network-based data mining approach, which integrates correlation graphs with clustering analysis to quickly extract patterns from WBMs and then bind them to manufacturing defects. An empirical study has been conducted on real production data for validating the proposed clustering algorithm, which showed a perfect correspondence between the malfunction patterns found by the algorithm and those discovered by human experts, so confirming the validity of our approach in its ability of correctly identifying actual defective patterns to help improving production yield.
Numerical investigation of heat and mass transfer during hydrogen sorption in a mixture of AB2 – AB5 metal hydride for hydrogen storage
Authors: Moropeng Mapula Lucey , Kolesnikov Andrei , Lototskyy Mykhaylo , Mavhungu Avhafunani 
Published: July 2020

Abstract
This paper presents the investigation of a two dimensional coupled model of heat and mass transfer in a mixture of AB2 – AB5 metal hydride (MH) systems of a cylindrical configuration during hydrogen sorption using COMSOL 5.3a commercial software. The parametric study on the sorption process has been studied with variation of heat transfer coefficient (HTC), and activation energy (AE) to understand the effects they have on the reaction kinetics of the sorption process. The simulation results demonstrate the importance of mutual dependence between the temperature propagation in the body of metal hydride, the absorbed concentration of the hydrogen gas, and the gas pressure for the absorption of hydrogen gas in metal hydrides. The decrease in the activation energy is found to have significant effect on the dynamic performances of hydrogen absorption in the MH reactors with an increased amount of hydrogen conversion, whilst the variation of heat transfer coefficient displayed insignificant change in hydrogen conversion. The simulated results show good agreement with the experimental results obtained from HYSA Systems and were implemented for use in the STILL RX60-30L electric forklift fuel cell applications designed by HYSA Systems in the University of the Western Cape.
A low profile miniaturized circular microstrip patch antenna for dual-band application
Authors: Shaw Murari , Mandal Niranjan , Gangopadhyay Malay 
Published: July 2020

AbstractA low profile Circular Microstrip Patch Antenna (CMPA) with radius 5 mm has been designed to generate two resonant frequency bands that can be used for WLAN 5.2 (5.15–5.25) GHz, Wi-Fi (5.725–5.850) GHz and Dedicated Short-Range Communications (DSRC) (5.85–5.925) GHz application bands. The designed antenna has been slitted with two slits and a stub has also been attached resulting in an additional resonant band alongside the primary resonant band. Also, primary resonant frequency shifted from 7.22 GHz to 5.87 GHz yielding about 18.7% antenna miniaturization. Frequency bands generated by the designed antenna are (5.15–5.25) GHz and (5.71–6.01) GHz having peak gain 2.3 and 4.9 dB with broadside radiation pattern. A square shape FR4 substrate having dimension 32 × 32 × 3.2 mm3 and very thin copper sheet for radiating patch and ground has been used in the proposed antenna, which can fulfill the requirement of smaller antenna with dual band application. Simulation software HFSS ver.13 has been used to design and analyze the proposed antenna. Very good matching has been obtained between simulated and measured results.
Effect of high pressure processing on the microstructure, myofibrillar protein oxidation, and volatile compounds of sauce lamb tripe
Authors: Hou Ran , Liu Yangming , Li Wenhui , Zhao Wei , Wang Chunyan , Li Yingbiao , Yan Qingqing , Zhu Weichao , Dong Juan 
Published: July 2020

Abstract
In this study, sauce lamb tripe was used as the research object. High pressure processing (HPP) was carried out at 100, 250, and 400 MPa, with holding times of 5, 10, 15, 20, and 25 min at 25 °C, respectively. The effects of HPP on the microstructure and volatile compound content of sauce lamb tripe and the properties of myofibrillar protein were studied. The degree of protein oxidation was most significant at 400 MPa for 25 min. The secondary structure of myofibrillar protein became unstable and the microstructure of the sauce lamb tripe became loose at 400 MPa. The retention of hydrocarbons, aldehydes, alcohols, and ketones was maximum at 250 MPa for 15 min, and the flavor-contributing compound (3-Hydroxy-2-butanone) was also retained by 11.9% on ketones at 250 MPa for 15 min. The results showed that myofibrillar protein was appropriately oxidized; the sauce lamb tripe had better microstructure and several representative volatile compounds after HPP. Therefore, better processing conditions for sauce lamb tripe were 250 MPa for 15 min.
Application of Weissella cibaria X31 or Weissella confusa L2 as a starter in low nitrite dry-fermented sausages
Authors: Liu Xuejun , Qu Hongye , Gou Mengxing , Guo Hongyue , Wang Liyan , Yan Xiaohui 
Published: July 2020

Abstract
Effects of Weissella strains (Weissella cibaria X31 or Weissella confusa L2) as starters on the physicochemical, volatile, proteolytic, microbiological, and sensory properties of low-nitrite dry-fermented sausages were evaluated for 20 d. Results showed that the addition of 8 log CFU/g of Weissella strains increased the redness, hardness, adhesiveness, and chewiness, but decreased the pH, water activity, and nitrite content of sausages during processing. Morover, Weissella strains inhibited the growth of Salmonella enterica. Weissella strains also could hydrolyze myofibrillar proteins in sausages. The sausage inoculated with W. confusa L2 was more abundant in ester compared with the control. Sausages inoculated with W. cibaria X31 and W. confusa L2 and sodium nitrite (0.05 g) had more desirable characteristics, compared with other groups. W. cibaria X31 and W. confusa L2 show potential as multifunctional starters in low-nitrite fermented sausage, which is uniqueness and addressed the gap of Weissella in low nitrite sausages. This study is distinct in that Weissella strains were found to improve the redness of dry-fermented sausages and was effective at partly replacing nitrite in dry-fermented sausages, addressing the research gap regarding the application of Weissella in low-nitrite sausages.
Cytoprotective and antisecretory properties of methanolic extract of Distemonanthus benthamianus (Caesalpiniaceae) stem bark on acute gastric ulcer in rats
Authors: Matah Marthe Vanessa Mba , Ateufack Gilbert , Mbiantcha Marius , Nana William Yousseu , Atsamo Albert Donatien , Adjouzem Flore Carine , Djuichou Nguemnang Flore Stephanie , Tsafack Gonzal Eric , Tadjoua Herve Tchoumbou , Emakoua Joseph 
Published: July 2020

Abstract

Objectives
In African traditional medicine, Distemonanthus benthamianus (Caesalpiniaceae) is used to treat many diseases including gastric ulcers. We evaluated in this study, the cytoprotective and antisecretory properties of the methanolic extract of the stem bark of this plant using different technics of gastric lesion induction.

Methods
Cytoprotective and antisecretory activity of the methanolic extract of D. benthamianus stem bark was evolved through six methods of gastric lesion induction in experimental Wistar male rats (150–200 g): (1) gastric lesions induced by HCl/ethanol, (2) gastric lesions induced by Indomethacin- HCl/ethanol, (3) gastric lesion induced by Indomethacin, (4) gastric lesions induced by Pylorus ligation, (5) gastric lesions induced by histamine-Pylorus ligation, (6) gastric lesions induced by carbachol-Pylorus ligation. Mucus and gastric mucosal ulceration were evaluated. pH, gastric volume, and acidity were quantified in all pylorus ligation induction technics. Nitric oxide (NO) level was determined in indomethacin induced gastric ulcers.

Results
At different doses (125, 250 and 500 mg/kg), extract reduced significantly the ulcer index. In all models used, that is 100.00% with HCl/ethanol; 100.00% with HCl/ethanol/indomethacin; 95.70% with Indomethacin; 74.79% with pylorus ligation, 95.94% histamine-Pylorus ligation, 99.54% carbachol-Pylorus ligation at the highest dose of 500 mg/kg. The lesion formation reduces in all the methods used followed by a significant increase of mucus production. The pylorus ligation technic revealed that the extract has an antisecretory activity.

Conclusions
The methanolic extract of D. benthamianus stem bark has both cytoprotective and antisecretory effects. This extract exerts its antisecretory effect trough cholinergic and histaminergic pathways.
Discriminatively trained continuous Hindi speech recognition using integrated acoustic features and recurrent neural network language modeling
Authors: Kumar A. , Aggarwal R.K. 
Published: July 2020

AbstractThis paper implements the continuous Hindi Automatic Speech Recognition (ASR) system using the proposed integrated features vector with Recurrent Neural Network (RNN) based Language Modeling (LM). The proposed system also implements the speaker adaptation using Maximum-Likelihood Linear Regression (MLLR) and Constrained Maximum likelihood Linear Regression (C-MLLR). This system is discriminatively trained by Maximum Mutual Information (MMI) and Minimum Phone Error (MPE) techniques with 256 Gaussian mixture per Hidden Markov Model(HMM) state. The training of the baseline system has been done using a phonetically rich Hindi dataset. The results show that discriminative training enhances the baseline system performance by up to 3%. Further improvement of ~7% has been recorded by applying RNN LM. The proposed Hindi ASR system shows significant performance improvement over other current state-of-the-art techniques.
High-speed signal processing and wide band optical semiconductor amplifier in the optical communication systems
Authors: El-Hageen Hazem M. , Alatwi Aadel M. , Zaki Rashed Ahmed Nabih 
Published: July 2020

Abstract
This work clarifies the analysis of the theoretical study of noise and transmission gain characteristics of semiconductor optical amplifiers (SOAs), which are relevant in the novel local area optical communication systems. We investigated the effects of noise on AlGaAs/GaAs SOA transmission performance through the measurement of output power, optical gain, the optical signal-to-noise ratio, and noise figure. It was observed that noise has a dramatic effect on SOAs’ operation transmission efficiency, and the performance of the amplifier structure may be limited. If the drive current and injection power at the SOA can be changed and its active region length modified, then the variation of gain, optical signal-to-noise ratio, and noise figure at the output of the structure can be obtained.
Pregnancy, oral health and dental education: an overview on the northeast of Italy
Authors: Costantinides Fulvia , Vettori Erica , Conte Martina , Tonni Ingrid , Nicolin Vanessa , Ricci Giuseppe , Di Lenarda Roberto 
Published: July 2020

Abstract

Objectives
To evaluate the level of knowledge of pregnant women and puerpers about oral health and prevention during and after gestation.

Methods
One hundred women aged 18–49 years (mean age 33±6 years) were included in this cross-sectional study. An anonymous questionnaire with 24 items related to oral health has been administered during or just after pregnancy. Firstly, answers have been analyzed on the full population and then subdividing the sample on the base of age ranges (G1: 18–25 years, G2: 26–35 years and G3: >35 years) and number of pregnancies (FP: first pregnancy; SP: second or more pregnancies). Parametric tests have been chosen for the statistical analysis; in particular, Anova test for independent samples was used to evaluate differences of baseline demographic characteristics among subgroups G1, G2, G3 while chi-square test was used for FP and SP subgroups. Anova test was also used to intercept differences on answers given to the questionnaire among G1, G2 and G3 group; for FP and SP group was used t-test.

Results
Level of information and knowledge of the full sample was medium-low and no significant differences have been observed between groups regarding awareness of the own level of the oral hygiene and knowledge of oral care.

Conclusions
Results of this survey underline the high necessity of educational programs regarding oral care in pregnant and puerpers women. A strict collaboration between medical figures (dentist, oral hygienist, gynecologist and obstetric) is strongly encouraged to spread the concept of prevention.
Comparison of image quality in brain MRI with and without MR compatible incubator and predictive value of brain MRI at expected delivery date in preterm babies
Authors: Müller Franziska , Proquitté Hans , Herrmann Karl-Heinz , Lehmann Thomas , Mentzel Hans-Joachim 
Published: July 2020

AbstractObjectivesMR compatible incubators (MRcI) offer the examination of preterm and critically ill infants in controlled environment. The aim of the study was to compare objective and subjective image quality as well as diagnostic value of MRI brain examinations with and without using the MRcI. Thus, predictive value of brain MRI at expected delivery date in general was investigated.MethodsThis retrospective study included MRI brain examinations conducted at patients’ corrected age ≤6 months and presence of four standard sequences (PD TSE transversal, T2 TSE transversal, T2 TSE sagittal and T1 SE transversal). Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR) was calculated. Subjective image quality was estimated using a 5-point Likert scale. Findings of MRI were compared with those of previous transfontanellar ultrasound because of additional diagnostic information. Severe brain abnormality scaled by score of Kidokoro was related to results of Munich Functional Developmental Diagnostics (MFDD) within first year.ResultsOne hundred MRI brain examinations (76 with MRcI, 24 without MRcI) were performed in 79 patients. Using the MRcI SNR and CNR were significantly higher in PD- and in T2-weighted sequences (p<0.05). TSE PD transversal demonstrated a higher risk of non-diagnostic quality using MRcI (OR 5.23; 95%-CI 1.86–14.72). MRcI revealed additional diagnostic information (OR 5.69; 95%-CI 1.15–28.24). Severe brain abnormality was associated with walking deficits (r=0.570; p=0.021).ConclusionsThe MRcI increased objective image quality and revealed additional diagnostic information to transfontanellar ultrasound. Nevertheless, prediction of infants' future development remains limited.