bluuebunny/crossref_metadata_2025_split huggingface dataset:
MiR-340 Reduces the Accumulation of Amyloid-β Through Targeting BACE1 (β-site Amyloid Precursor Protein Cleaving Enzyme 1) in Alzheimer’s Disease
Authors: Tan Xianpei , Luo Yi , Pi Dingfang , Xia Liexin , Li Zhilian , Tu Qiang 
Published: January 2020

Background:
Alzheimer’s disease (AD) is the most common neurodegenerative disease,
and the accumulation of amyloid-β is the initial process in AD. MicroRNAs (miRNAs) are
widely known as key regulators of the accumulation of amyloid-β in AD. This study analyzed the
potential effects and possible internal mechanisms of miR-340 on AD.

Methods:
The expression of miR-340 in senescence-accelerated mouse prone-8 (SAMP8) mouse
and senescence-accelerated mice/resistant-1 (SAMR1) mouse was evaluated by qRT-PCR (quantitative
real-time polymerase chain reaction). The expression of β-site amyloid precursor protein
cleaving enzyme 1 (BACE1) was determined by qRT-PCR and western blot. The binding ability
between miR-340 and BACE1 was verified by dual-luciferase reporter assay. In vitro cell model
of AD was established in human neuroblastoma SH-SY5Y cells transfected with Swedish mutant
form of amyloid precursor protein (APPswe). The effect of miR-340 on the accumulation of amyloid-
β was investigated by western blot analysis. Flow cytometry was conducted to detect cell
apoptosis.

Results:
MiR-340 was down-regulated in the hippocampus of AD model SAMP8 mouse compared
to SAMR1 mouse, while BACE1 was up-regulated in SAMP8, suggesting a negative correlation
between miR-340 and BACE1 in SAMP8 mouse. MiR-340 could directly bind with BACE1, and
over-expression of miR-340 decreased expression of BACE1 in SH-SY5Y/APPswe cells. MiR-
340 reduced the accumulation of amyloid-β and suppressed cell apoptosis through targeting
BACE1 in SH-SY5Y/APPswe cells.

Conclusion:
MiR-340 was downregulated in AD and reduced the accumulation of amyloid-β
through targeting BACE1, suggesting a potential therapeutic target for AD.
An Efficient Synthesis of Benzimidazole and Benzothiazole Derivatives Using a Nickel(II) Metal-Organic Framework
Authors: Janani Marzieh , Senejani Masumeh Abdoli , Isfahani Tahereh Momeni 
Published: January 2020

Background:
The benzimidazoles and benzothiazoles have shown relatively high pharmaceutical
and biological activities. In recent years, numerous methods have been developed for synthesis of
benzimidazole and benzothiazole derivatives using different catalysts. However, only some of the reported
procedures are quite satisfactory and most of them have drawbacks. Herein, we report a convenient method for
synthesis of benzimidazole and benzothiazole derivatives using a nickel (II) metal-organic framework (Ni-
MOF) as a novel and reusable catalyst. The presence of unsaturated metal centers makes metal-organic
frameworks to be used as Lewis acid catalysts.

Objective:
The primary objective of this study was to describe an efficient method for synthesis of
benzimidazole and benzothiazole derivatives.

Methods:
Ni-MOF was prepared using the modified evaporation method and was characterized by FE-SEM,
FT-IR, TGA, and XRD techniques.The catalyst was then used to test the synthesis of some benzimidazole and
benzothiazole derivatives. The benzimidazoles and benzothiazoles were characterized by Elemental analyses,
HNMR and IR techniques.

Results:
A variety of aromatic aldehydes bearing electron donating groups or electron-withdrawing were
reacted with 1,2-phenylenediamine or 2-aminothiophenol using Ni-MOF in good to excellent yields.

Conclusion:
In summary, a new and highly efficient method was developed and reported for the synthesis of
benzimidazole and benzothiazole derivatives using nickel(II) metal-organic framework. The advantages are
short reaction times, good to excellent yields, the environmentally benign and simple procedure, stability, nontoxicity,
recyclability, and easy separation of the catalyst.
A Deep Convolutional Neural Network to Improve the Prediction of Protein Secondary Structure
Authors: Guo Lin , Jiang Qian , Jin Xin , Liu Lin , Zhou Wei , Yao Shaowen , Wu Min , Wang Yun 
Published: January 2020

Background:
Protein secondary structure prediction (PSSP) is a fundamental task in
bioinformatics that is helpful for understanding the three-dimensional structure and biological
function of proteins. Many neural network-based prediction methods have been developed for
protein secondary structures. Deep learning and multiple features are two obvious means to improve
prediction accuracy.

Objective:
To promote the development of PSSP, a deep convolutional neural network-based
method is proposed to predict both the eight-state and three-state of protein secondary structure.

Methods:
In this model, sequence and evolutionary information of proteins are combined as multiple
input features after preprocessing. A deep convolutional neural network with no pooling layer and
connection layer is then constructed to predict the secondary structure of proteins. L2 regularization,
batch normalization, and dropout techniques are employed to avoid over-fitting and obtain better
prediction performance, and an improved cross-entropy is used as the loss function.

Results:
Our proposed model can obtain Q3 prediction results of 86.2%, 84.5%, 87.8%, and 84.7%,
respectively, on CullPDB, CB513, CASP10 and CASP11 datasets, with corresponding Q8
prediction results of 74.1%, 70.5%, 74.9%, and 71.3%.

Conclusion:
We have proposed the DCNN-SS deep convolutional-network-based PSSP method,
and experimental results show that DCNN-SS performs competitively with other methods.
Evaluation of Putative Toxin-antitoxins Systems in Clinical Brucella melitensis in Iran
Authors: Moradkasani Safoura , Kouhsari Ebrahim , Jazi Faramarz Masjedian , Kalani Behrooz Sadeghi , Pakzad Iraj 
Published: January 2020

Background:
Toxin-antitoxin systems (TAs) are two-component elements, which are
extensive in the bacterial genome and have a regulatory role in many cellular activities including,
growth arrest, survival, biofilm formation, and bacterial persistence.

Objective:
TAs have not well studied in Brucella spp.

Methods:
We evaluated the presence of different toxin-antitoxin systems, including relE- rhhlike,
Fic- Phd, Cog- Rhh, and cogT- cogAT in 40 clinical Brucella melitensis isolates using PCRbased
sequencing assay.

Results:
Our results showed the high presence of relE-rhh-like, Fic-Phd, Cog-rhh, and cogTcogAT
s TAs genes in B. melitensis isolates that were 96.25%, 92.5%, 96.25%, and 95%, respectively.

Conclusion:
A high presence of TAs genes in clinical B. melitensis isolates revealed that the TA
system could be an antibacterial target in B. melitensis but more investigation is necessitated to
elucidate the exact roles of these genes.
An Electronic Health Platform for Monitoring Health Conditions of Patients With Hypertension in the Brazilian Public Health System: Protocol for a Nonrandomized Controlled Trial
Authors: De Marchi Ana Carolina Bertoletti , Alves Ana Luisa Sant' Anna , Gonçalves Carla Beatrice Crivellaro , Cervi Cristiano Roberto , Biduski Daiana , Bellei Ericles Andrei , Madalozzo Guilherme Afonso , Da Cruz Ivana Beatrice Mânica , Veiga Jeangrei Emanoelli , Rodriguez João Pedro Mazuco , Ferretto Luciano Rodrigo , Bin Luiz Carlos Pereira , Rebonatto Marcelo Trindade , Portella Marilene Rodrigues , Roman Mateus Klein , Cechetti Nathália Pinto , Rieder Rafael , Debon Raquel , Volpi Simiane Salete 
Published: January 2020

Background
Chronic noncommunicable diseases such as arterial hypertension have a high impact in the context of public health. Previous studies have shown improvements in blood pressure due to simple lifestyle changes, which were supported by electronic health (eHealth) solutions.

Objective
The aim of this study is to develop an eHealth platform and assess the effects of its use on the health conditions of patients with hypertension, with assistance from health professionals in the public health system of a Brazilian city.

Methods
The platform will include a server that centralizes all the data and business rules, a website dashboard for health professionals, and a mobile app for patients. We will analyze the effects of its use through a controlled, nonrandomized, nonblind, prospective, monocentric clinical trial. We will enroll 68 participants diagnosed with arterial hypertension and under medical follow-up and categorize them into two groups. The participants of the intervention group will use the platform as a monitoring method, whereas the participants of the control group will use conventional methods. In both groups, we will assess and compare the evolution of blood pressure and treatment adherence before, during, and after the intervention.

Results
The project was funded at the end of 2018. We have been developing the software since 2019 with plans to complete it in 2020, and we will enroll patients between 2020 and 2021. We expect to submit the first results for publication in 2020.

Conclusions
For the primary outcome, we expect a reduction and stabilization of blood pressure. For the secondary outcomes, we hope to see improvements in treatment adherence, physical activities and dietary practices, and acceptance of the eHealth platform. In public health, the technology that favors disease control also helps reduce complications and, consequently, treatment costs. The platform might encourage the adaptation of medical assistance to incorporate this technology into patient monitoring.

International Registered Report Identifier (IRRID)
PRR1-10.2196/15299
Optimasi Tablet Lepas Cepat Levofloksasin Hidroklorida Menggunakan Crospovidone Sebagai Disintegran dan Studi Disolusi Efisiensi
Authors: Pratiwi Puspa Dwi , Nugroho Akhmad Kharis , Lukitaningsih Endang 
Published: January 2020

Tablet mengandung zat aktif dan eksipien yang berfungsi untuk meningkatkan sifat fisik tablet sehingga perlunya optimasi dan pengaruhnya terhadap sifat fisik tablet. Crospovidone merupakan salah satu disintegran yang diklaim dapat meningkatkan waktu hancur dan disolusi obat. Tujuan dari penelitian ini adalah melakukan optimasi tablet dan menentukan efek dari perbedaan jumlah crospovidone terhadap respon untuk mendapatkan formula optimal. Optimasi tablet dilakukan metode simplex lattice design dari perangkat lunak Design Expert versi 11 menggunakan dua variabel independen, yaitu crospovidone 2-10% dan laktosa monohidrat (45-53%). Preparasi tablet dilakukan menggunakan metode granulasi basah. Semua formula dilakukan uji sifat alir serbuk, kekerasan tablet, kerapuhan tablet, waktu hancur tablet, penentuan kadar levofloksasin dalam tablet, dan DE60. Formula optimal didapatkan dari respon kekerasan tablet, kerapuhan tablet, waktu hancur tablet, dan DE60. Formula optimal yang didapatkan adalah formula dengan jumlah crosspovidone 10% ditandai dengan nilai desirability 0,546 menghasilkan sifat fisik tablet berupa rata-rata kekerasan 4,33 kg, kerapuhan 0,49%, waktu hancur 6,36 menit, dan rata rata DE60 sebesar 75,00%. Terdapat perbedaan signifikan adanya perbedaan jumlah crospovidone terhadap waktu hancur. Tidak terdapat perbedaan signifikan antara respon prediksi yang diberikan perangkat lunak Design Expert versi 11 dengan hasil observasi sehingga simplex lattice design dari perangkat lunak Design Expert versi 11 mampu memprediksi respon secara akurat.
Network coding based energy efficient LEACH protocol for WSN
Authors: Tamilselvan G. M. Tamilselvan , Gandhimathi K. 
Published: January 2020

Wireless Sensor Network (WSN) consists of low cost tiny sensor nodes with limited energy resource, so it is a tedious task to develop energy efficient routing schemes that enhances the network lifetime. In WSN, clustering is used to improve the efficiency of finite energy resource. LEACH protocol is one of the widely used clustering techniques in WSN. So, in this paper, an energy efficient LEACH protocol is designed with network coding for WSN. Initially, the clusters are formed with the LEACH protocol, where it uses the residual energy metric and drain rate to select the cluster heads. Since network coding is an optimal technique to enhance the network performance by minimizing the number of transmissions, it is incorporated into the LEACH Protocol, where it has been applied at the cluster head levels. Furthermore, the next level of network coding is processed at a node by selecting any of the nodes as a master node. The simulation results show that the proposed scheme performs better than the EE-LEACH and LEACH protocol in terms of network lifetime, packet delivery ratio.
Devolatilization of a particle coal in a plasma reactor
Authors: Gomez Juan Diaz , Sotelo Joel Pacheco , Barrientos Ricardo Valdivia , Pacheco Marquidia Pacheco 
Published: January 2020

In this paper, a warm plasma reactor is used to increase the discharge by the addition of 3 different nitrogen-coal carbon mixtures. An experimental study was carried out to determine the temperatures profile in a jet plasma along the chamber, according to nitrogen/coal ratio and power consumption. The coal particle was also characterized in function of its size. An important effect when the volatile components released from the coal is manifested and passing through the plasma jet, this produce the plasma jet increase. This effect has a great importance to performance improvement in plasma reactor profitable for greenhouse gas (GHG) treatment. As a consequence, the high temperature surrounding the plasma jet, augments the degradation capacity.
The experimental analysis, the kinetic parameters of the combustion of nitrogen-coal mixture was taking in consideration, as well as the appearence of a considerable amount of new radicals. In addition, increasing the plasma jet has a significant impact on the overall reactor performance of coal particles that release volatile component. This allows promp increase and much enhanced plasma jet stability.
The aim of the study was to evaluate and develop a model in order to know the temperature behavior in a plasma jet. Different sizes of coal particles at specific rate of 5 slm (standard liter per minute) of a nitrogrn-coal mixture have been simulated in this model. The advantages of this technique is to simulate other sizes of particle and obtaining the best condition and operating parameters of plasma reactor.
Antoine Lavoisier – Contributos para o conhecimento do metabolismo energético
Authors: Gomes Maria José Marques , Guedes Cristina Vitória De Miranda 
Published: January 2020

Resumo O metabolismo energético constitui-se como uma área fundamental no ensino das Ciências da Nutrição (Animal e Humana). O comum dos cidadãos utiliza o termo “Caloria” e relaciona-o com alimentação e energia. Poucos saberão, no entanto, que para obter a energia a partir dos alimentos, no organismo ocorre uma forma de combustão idêntica à que ocorre numa fogueira! Ambas exigem a presença de O2, e geram CO2, H2O e calor. Hoje dispomos de equipamentos sofisticados para estudar o metabolismo energético, utilizando metodologias de calorimetria direta e indireta. Este conhecimento permite-nos elaborar dietas adequadas a animais e pessoas e programar equipamentos de fitness que informam quantas calorias estamos a “gastar”. Foi a partir da descoberta de Priestley, de que o oxigénio estava envolvido na combustão, que no final do século XVIII, Antoine Lavoisier formulou a hipótese de que “a respiração nos animais é também uma forma de combustão” e que desenvolveu o primeiro calorímetro – o calorímetro de gelo.Palavras-chave: Abstract The study of Nutrition Science necessarily passes through the energy metabolism approach. Common people use the word “Calorie” and associate it with food consumption and energy. Less people will be aware that, to obtain energy from food, a form of combustion similar to that in a fire, takes place in the organism! In both, the process requires the presence of oxygen, and generates CO2, H2O and heat. Today we have sophisticated equipment to study the energy metabolism, using direct and indirect calorimetry methodologies. And such knowledge allows us to design appropriate diets for animals and people, and program fitness equipment that tells us how many calories we are "burning". Using Priestley’s earlier discovery that oxygen is involved in burning, at the end of the eighteenth- century Lavoisier hypothesized that "breathing in animals is also a form of combustion and developed the first calorimeter – the ice calorimeter. This work intends to recall the pioneering work of Antoine Lavoisier and its contribution to the knowledge of energy metabolism. Keywords: Antoine Lavoisier; nutrition; calorimetry; metabolism
DISCLOSURE NA SAÚDE SUPLEMENTAR: Uma análise sob a ótica dos beneficiários de planos de saúde
Authors: Da Silva Cunha Rosicleide Nascimento , Raulino Jácome Marilia Augusta , Saeger Márcia Maria De Medeiros Travassos , Andrade Tabira De Souza 
Published: January 2020

Este trabalho analisou o disclosure na saúde suplementar sob a ótica dos beneficiários dos planos de saúde. Para tanto, se utilizou um survey elaborado pelos autores, composto por 03 partes: I – caracterização dos respondentes, II – Perfil do respondente na saúde suplementar e III – Percepção do disclosure. Após o pré-teste e aplicação, se deu a análise dos dados mediante a frequência das respostas e a utilização das médias para a comparação das respostas entre os grupos de beneficiários, por plano de saúde, principalmente relacionado à expectativa quanto ao Índice de Sustentabilidade no Mercado (IDSM). Os resultados indicam que as expectativas dos beneficiários podem ser consideradas irrealistas, uma vez que eles superdimensionam a situação financeira de suas OPS. Os beneficiários de planos de saúde atribuem um alto grau de importância às informações financeiras e contábeis, contudo, demonstraram insipiência no aspecto de acesso a estas. Esta insipiência se confirma quando analisada de forma comparativa com outras questões, em que 67% dos beneficiários afirmaram nunca acessarem o site da ANS, e ainda, 70% do total de participantes da pesquisa possuem plano de saúde há pelo menos 5 anos, o que implica em uma preocupação quanto à necessidade de se buscar novas formas ou canais de comunicação com o público de beneficiários.
Saúde mental em rede: o curso de Psicologia na articulação entre a universidade e o Sistema Único de Saúde
Authors: Vicentin Maria Cristina Gonçalves , Rosa Elisa Zaneratto , El Id Katia , Sereno Deborah , Kahhale Edna Maria Severino Peters , Gomes José Agnaldo , Gonçalves Maria Da Graça Marchina 
Published: January 2020

Este artigo apresenta alguns elementos analíticos do percurso e dos efeitos dos processos de integração ensino-serviço na formação em Psicologia na Pontifícia Universidade Católica de São Paulo (PUC-SP), especialmente no campo da atenção em saúde mental no âmbito do Sistema Único de Saúde (SUS), por meio da parceria com o território sanitário da Freguesia do Ó/Brasilândia, do município de São Paulo. Tal processo foi intensificado e qualificado pelos Programas de Reorientação da Formação Profissional em Saúde e Educação pelo Trabalho em Saúde. Para tanto, apresentamos uma visão geral das atividades desenvolvidas e focalizamos alguns desdobramentos do trabalho: o aprimoramento da perspectiva de trabalho territorial e em rede pelos núcleos de formação profissional comprometidos com o campo das políticas públicas em saúde e saúde mental; a implantação da Gestão Autônoma da Medicação como estratégia de cuidado territorial em saúde mental; a articulação clínica-escola e território. Este trabalho de cogestão entre universidade e serviços de saúde em suas diferentes dimensões - ensino, pesquisa e extensão - contribui simultaneamente para a formação profissional em saúde e a qualificação da atenção e do processo de trabalho em saúde, formando estudantes e profissionais para o SUS.
PENGHILANGAN SWELL NOISE DAN LINIER NOISE PADA DATA SEISMIK 2D MARINE HIGH RESOLUTION PADA LINTASAN “AF” MENGGUNAKAN METODE SWNA, F-K FILTER DAN TAU-P TRANSFORM
Authors: Subari Achmad , Rasimeng Syamsurijal , Konstanta Nando Liven 
Published: January 2020

Research have been done about noise removal caused by environment (swell noise) and linear noise on high frequency 2D seismic data on line “AF” using swell noise attenuation (SWNA) method, f-k filter and tau-p transformation. Based on obtained result, swell noise succeed removed from data using velocity limited filter that is 1000 m/s on frequency 25 Hz applied to swell noise attenuation process. Applied SWNA data, then created input f-k filter process. In f-k filter process, used polygon design having a minimum frequency limit around 5 Hz maximum high frequency around 450 Hz. The results f-k filter giving a good output with linear noise removal to time 1500 ms. F-k filter output obtained, then processed again using tau-p transformation method. Application of tau-p transformation transformed data into (τ-p) domain. Transformed data on (τ-p) domain, linear noise made on moveout 600 ms. Then the data muted using surgical mute. Based on obtained result, tau-p result can removing linear noise on data. Linear noise removed dominating on time 1500 ms-2500 ms. That matter caused by linear noise on time 0-1500 ms succeed removed using previous process. After the method succesfully applied , data processing continued doing the stack and migration process. Applied migration is postack kirchoff time migration, migration do with migration angel around 300 and aperture around 600 m.
IDENTIFIKASI DAN ESTIMASI SUMBER DAYA BATUBARA MENGGUNAKAN METODE POLIGON BERDASARKAN INTEPRETASI DATA LOGGING PADA LAPANGAN ”ADA”, SUMATERA SELATAN
Authors: Adrian Deddi , Mulyatno Bagus Sapto 
Published: January 2020

As petroleum reserves depleted, certainly encourage the government to search for new energy sources. Eksploration of coal is the right choice because its potential is so great in Indonesian especially in South Sumatera Province is known have content 37,80% from total resources in Indonesian. Well loggging method is one of geophysics method used to find and estimate coal resources. Advantages of well logging method is able to describe subsurface laterally. The purpose of this study is displaying an overview of subsurface rock layers, determine the direction of distribution by correlating coal seam between wells based on data logging, and to estimate coal resources in the research area. The total area of the author's research is 442.056 m2 has 10 wells. Log data used in this study is gamma ray log dan density log, where coal seams are characterized by gamma ray log response and low log density responses. On the field ”ADA” found four coal seam, that is seam A1 with thickness 8,28 m, seam A2 with thickness 13,62 m, seam B with thickness 18,50, and seam C with thickness 8,84. Direction of coal distribution from South to North with slope angle 5-30º and direction of sincerity from East to West. The author calculates the estimated coal resource using polygon method because this calculates method can be done with a short time and the results are right. Total coal by polygon method of 18.322.653 m3 in tons of 21.987.184–27.483.980 ton while calculations with software rock works 15 amount 18.786.254 m3 in tons of 22.543.505–28.179.381 ton.