bluuebunny/crossref_metadata_2025 huggingface dataset:
Introducing the Dynamic Nuchwezi Architecture Platform
Authors: Lutalo Joseph Willrich
Published: May 2020

A novel software engineering platform called the Dynamic Nuchwezi Architecture Platform is introduced, specified and its novelties explained. The unique features of this platform are explained and several new concepts and abstractions upon which its implementation, usage and analysis are hinged also elaborately discussed. The motivations for this new approach to building especially tools used in data engineering are spelled out and the platform is contrasted against other existing technologies of a similar kind. Finally, it is shown what known limitations DNAP suffers, as well as what room for further research and improvement there is in this field.
A Generalized 90° Out-of-Phase Wilkinson Power Divider for Dual Port UHF CP RFID Antennae with variable Port Distance
Authors: Sovis W Akash , Jayasooriya Manilka
Published: May 2020

In this paper a microstrip Wilkinson power divider with a 90° phase delay at one output port is proposed to obtain circular polarization to feed a dual port RFID antenna. The 90° phase delay was obtained by embedding an extra quarter wavelength at one port of the Wilkinson power divider. The feeding circuit is then mounted on the ground plane of the microstrip antenna feeding the radiating patch directly through the ground plane and dielectric layer thus reducing any fringing effect and resulting a mechanically compact unit. The proposed feeding method offers better expectation of antenna performance with minimal attenuation and coupling losses. The design process generalizes geometric pa- rameters of the Wilkinson power divider for variable port distances. The paper considers both UK and US RFID center frequencies, 870 MHz and 915 MHz respectively. Numeri- cally computed values for geometric design parameters for both frequencies are tabled as future design tools for port distances varying from 18 mm up to 34 mm at 870 MHz and 17 mm up to 32 mm at 915 MHz. Simulation results indicate a return loss (S11) of -20 dB and -26 dB at 870 MHz and 915 MHz operational frequencies respectively at 270° angled quarter wavelength.
Deporte escolar: lo médico, la ruptura con el conocimiento científico y su estrategia como parte del dispositivo de bio-poder
Authors: Hours Germán
Published: May 2020

La Pedagogía definió que mediante el curriculum se puede resolver el problema de la transmisión cultural, puesto que éste puede asegurar el traspaso de lo que es valioso para una determinada cultura de una generación a otra. A partir de esta afirmación, en este trabajo se procura que, como lo señaló Raumar Rodríguez Giménez (2012), el lector pueda identificar algunos de los elementos característicos que colaboraron para configurar un campo de saberes específicos destinados a la educación y enseñanza del cuerpo, explorando las diferencias y la especificidad que en sus análisis se encuentran implicados; indagando además, en el efecto del discurso científico sobre el conjunto de conceptos, prescripciones y prácticas que constituye la educación del cuerpo, desde la perspectiva con la que se aborda el deporte escolar, que no deja de ser parte de una bio-política y del bio-poder que ha caracterizado al saber pedagógico y a la Modernidad.
Desafíos del siglo XXI para la Educación Popular: nuevos fundamentos para nuevas prácticas
Authors: Leite Ivonaldo
Published: May 2020

Este artículo tiene como objetivo presentar una perspectiva para la Educación Popular en el contexto actual. Metodológicamente, el trabajo realiza una retrospectiva de los orígenes de la Educación Popular y, al mismo tiempo, describe un conjunto de sus desafíos actuales. Se presenta una propuesta para su refundamentación que tiene como uno de sus puntos de apoyo el enfoque de Jürgen Habermas sobre la racionalidad comunicativa. Así esa propuesta asume dos postulados básicos, es decir: i) la distinción en la sociedad entre sistema (estructura organizativa orientada al control y al gobierno y autoconservación) y mundo de la vida (la vida de los sujetos reales y concretos que integran la sociedad desde la perspectiva de sus valores, instituciones y normas que orientan su convivencia); ii) el reconocimiento de tres tipos de conocimiento guiados por tres tipos de interese, es decir, técnico (ciencias empírico-analíticas), práctico (ciencias histórico-hermenéuticas) y emancipatorio (ciencias sociales críticas).
SIMULASI DISTRIBUSI TEKANAN INJEKSI PADA RESERVOIR MENGGUNAKAN METODE FINITE DIFFERENCE
Authors: Jamaluddin Jamaluddin , El-Ridlo Nuruddin Kafy , Ryka Hamriani , Maria Maria
Published: May 2020

The modeling of reservoir injection pressure distribution is very important to perceive reservoir management, especially in estimating the pushing mechanism. The modeling of reservoir injection pressure distribution was carried out by applying the analytic equation of fluid flow to the porous media of Darcy's law and transformed to a finite difference numerical equation which then used Neumann boundary conditions. The parameters used in the modeling were: permeability, average layer thickness, porosity, acceleration of gravity, viscosity, and area’s width. Based on the results of modeling, the injection pressure distribution area decreased as injection pressure rate increased. This decrease occurred due to an imbalance between the volume of reservoir fluid produced by the volume of water from the aquifer that replaced the reservoir, caused emptying. From the results of the modeling the amount of oil production, obtained from the remaining oil reserves to the initial oil acquisition in the reservoir after the process of pressure maintenance, could be found.
DETEKSI UNSUR LOGAM DENGAN XRF DAN ANALISIS MIKROBA PADA LIMBAH AIR ASAM TAMBANG DARI PERTAMBANGAN DI LAMURU - KABUPATEN BONE
Authors: Fahruddin Fahruddin , Haedar Nur , Abdullah As’adi , Wahab Abdul , Rifaat Rifaat
Published: May 2020

Perkembangan industri pertambangan di Indonesia semakin pesat, seperti pertambangan batu bara yang ada di Lamuru Kabupaten Bone, Sulawesi Selatan. Tentu hal ini menimbulkan masalah pencemaran lingkungan oleh adanya limbah pertambangan, salah satunya adalah limbah air asam tambang (AAT). Tujuan penelitian adalah deteksi kandungan logam berat dan analisis mikrobiologi pada air asam tambang. Deteksi kandungan logam berat menggunakan X-ray Fluorescence (XRF), anlisis sulfat dengan metode spektrofotometer 430 nm, pH dengan pH meter  dan analisis mikrobiologi menggunakan metode plate count. Hasilnya, terdeteksi adanya logam berat, yang paling dominan adalah Fe 56,29 %, diikuti Mn 1,36%, Ti 0,47%, dan Nb 0,50%. Kandungan sulfat 6,2 ppm dan pH 3.7. Pada pengamatan mikrobiologis diperoleh bakteri peredusi sulfat18,7 x 104/ml  dan jumlah total mikroba adalah  67,5 x 104/ml.
PENGARUH STRUKTUR GEOLOGI TERHADAP KEMUNCULAN MATAAIR PANAS DAERAH SULILI PINRANG SULAWESI SELATAN
Authors: Umar Emi Prasetyawati , Anwar Habibie , Husain Jamal Rauf , Muharni Sitti , Jamaluddin Jamaluddin , Massinai Muhammad Altin
Published: May 2020

Kondisi dan struktur geologi suatu daerah merupakan aspek penting karena data geologi dapat memberikan informasi tentang karakteristik lapisan batuan yang berguna di dalam ilmu panas bumi. Olehnya itu, dilakukan penelitian untuk mengeksplorasi lebih detail mengenai analisis struktur geologi mata air panas dan pengaruh kemunculan mata air panas tersebut, sebagai penunjang data eksplorasi yang belum pernah diteliti sebelumnya. Tujuan penelitian ini adalah menganalisis struktur geologi mata air panas dan mengetahui pengaruh geologi terhadap munculnya mata air panas di Daerah Sulili. Metode yang digunakan adalah metode sampling dan analisis data kekar. Struktur geologi yang terjadi pada Daerah Sulili adalah struktur kekar yang terdapat pada litologi batuan tufa. Kemunculan mata air panas diakibatkan adanya pengaruh struktur geologi berupa kekar dan sesar geser yang berkembang pada daerah tersebut.
Service Waiting Time Behavior of Express Maintenance (EM) Program of PT. Dunia Barusa Banda Aceh
Authors: Anwar Samsul , Wahyudi Tri , Andriani Mutia , Maulina Dinda , Fitri Juraida , Nora Raihan , Zulfazli Zulfazli
Published: May 2020

Survival analysis is a statistical method that can be used to analyze duration time data of an event occurrence. This research uses secondary data from PT. Dunia Barusa branch Banda Aceh that collected from January to March 2017 which amounted to 107 data. The data is service waiting time (in minutes) of Express Maintenance (EM) program on sub section receptionist, service, final inspection, confirmation, technical complete, invoicing, customer notification and delivery. There are 4 functions analyzed, namely density probability function (PDF), cumulative distribution function (CDF), survival and hazard function. The study shows that the probability of a customer being in the waiting process of service tends to become smaller as the service waiting time become longer on each sub section of the EM program, as well as the probability to remain in the waiting process after the customer has been there within a certain period of time indicated by the survival function. The hazard function shows that the rate of a customer will be served instantaneously in the sub section receptionist, service, invoicing, customer notification and delivery changing over the time, while in the sub section of final inspection, technical complete and confirmation, the rates are constant over the time as high as 0.757, 0.794, and 3.336 respectively.
Precision Analysis of Poisson Control Chart Based on Sample Size
Authors: Sari Elsa Resa
Published: May 2020

One technique used in performing statistical quality control is by poisson control chart. Poisson control chart used in data that have the same mean and varians for monitoring the number of defects in the study. In some cases, the different sample sizes influence the control chart performance. The control chart performance can be measured using average run length (ARL). The smaller ARL’s value, the better type of control chart. In this study, we used different sample sizes  that is  and mean . The result show the best performance of control chart is when  and m = 200, because its has a smaller ARL’s value.
Analysis of User Sentiment of Twitter to Draft KUHP
Authors: Cahyaningrum Nawang Indah , Yoshida Fatima Danty Welmin , Kusuma Wisnu Adi , Ramadhani Sekar Ayu , Destanto Muhammad Rizqi , Nooraeni Rani
Published: May 2020

Twitter is one of social media where its user can share many responses for a phenomenon through a tweet. This research used 5000 tweets from Twitter users in Bahasa Indonesia with keyword “RUU KUHP(Draft Law of KUHP)” from 16th of September until 22nd of September 2019. That tweets were processed using Rstudio software with sentiment analysis that is one of Text Mining methods. This research aims to classify Twitter users’ responses to RUU KUHP to be negative sentiment, poisitive negative, and neutral. Also, this research also aims to know about topics’ frequencies that were related to RUU KUHP through visualization with bar plot and also wordcloud. This research also aims to know words that are associated with the most frequent words. Form this research, can be known that Twitter users’ responses to RUU KUHP tend to have neutral sentiment that means they did not take side between agreeing or disagreeing. From this research, also can be known about 10 most frequent words, there are kpk, tunda, dpr, pasal, kesal, jokowi, presiden, masuk, ya, and sahkan. Beside that, can be known the other words that are associated with them and also their probability.
Riemann Integral Construction Of A Sequence Of Functions In A Normed Space (l^p,‖∙‖_p )
Authors: Mangalaeng Aswad Hariri , Aris Naimah , Massalesse Jusmawati
Published: May 2020

We construct Riemann Integral for a sequence in a normed space (l^p,‖∙‖_p ). To do construction, we used some theories of real analysis and functional analysis, include some real sequences theories, some Riemann integral theory for functions in R, and some norm theories in a normed space (l^p,‖∙‖_p ). In this paper, we otained that a sequence of functions f=(f_k ):[a,b]⊂R→l^p qualify that the sequence is Riemann integrable on [a,b]⊂R.
The solution of nonlinear parabolic equation using variational iteration method
Authors: Wartono Wartono , Suryani Irma
Published: May 2020

Variational iteration method is a semi analytic solution used to solve   the parabolic differential  equation both of homogen or nonhomogen. In the process of determining an approximation solution, this method did not use a linearization and a small pertubation. In this paper, the variational iteration method is implemented in the parabolic differential equation  in the form of  ut = uxx + f(u) + g(x, t) with appropriate intial condition. Furthermore, some examples of special parabolic differential equations are given to test the reliability and convergence of the method. Based on the result of study shows that the variational iteration method is  able to solve the parabolic differential equation with a good accuration.
Comparison of Parameter Estimator Efficiency Levels of Path Analysis with Bootstrap and Jack Knife (Delete-5) Resampling Methods on Simulation Data
Authors: Fernandes Adji
Published: May 2020

In practice, the assumptions of normality are often not met, this causes the estimation of the resulting parameters to be less efficient. Problems with the assumption that normality is not met can be overcome by resampling. The use of resampling allows data to be applied free from distribution assumptions. In this study, a simulation study was carried out by applying bootstrap resampling and jackknife resampling (delete-5) on path analysis assuming that the normality of the alignment was not met and the resampling amount set at 1000 with the degree of closeness between variables consisting of low closeness, medium closeness, high closeness and closeness level representing the level low to high closeness. Based on the simulation results, the resampling 1000 magnitude is able to overcome the problem of the assumptions of unmet normality. In addition, a comparison between bootstrap and jackknife resampling for conditions of side normality assumptions is not fulfilled and the closeness of the relationship between low, medium, high and closeness variables representing low to high closeness levels, the estimation results of path analysis parameters obtained by resampling jackknife are more efficient than resampling bootstrap.
Landforms and rural development: The evolution of human settlements at alpine alluvial fans in the Admont Valley, Austria, since 1784 AD
Authors: KELLERER-PIRKLBAUER Andreas , EULENSTEIN Julia
Published: May 2020

We used two historical maps that cover vast areas of central and eastern Europe at rather large scale dating to 1784 (First Military Survey of the Habsburg Empire; total extent 640,000 km²; scale 1: 28,800) and 1824 (cadastral land register of Francis I; 670,000 km²; 1: 2,880) to extracted individual buildings located at several alluvial fans in one valley in Austria (Admont Valley). Historic buildings were mapped and compared with present building (airborne–laserscanning based; 2008–2017), geomorphic (landform distribution), geomorphodynamic (documented damaging events at torrents), and spatial planning (hazard zonation maps) data. Results show that 69.2% of all present buildings are located at only 7% of the study area. Whereas the 1784–data are too inaccurate and unprecise for detailed spatial analyses, the 1824–data are very accurate and precise allowing spatial and socio–economic insight into the population and building evolution over a 190–year period. Results show for instance that despite a tremendous increase in buildings (911 in 1824; 3554 in 2008–2017), the proportion of buildings exposed to torrents–related natural hazards significantly decreased by 10.4% for yellow (moderate–risk) and by 13.7% for red (high–risk) zones. Similar historio–geomorphological studies as presented here might be accomplished in other countries in central and eastern Europe covered by the indicated historical map products.
Fieldwork in Geography education: an experience in initial teacher training program
Authors: Esteves Maria Helena , João Hortas Maria , Mendes Luís
Published: May 2020

Fieldwork in geography education is an important activity in terms of promoting the development of geographical knowledge and skills that go beyond school learning. The way this contact with the real world is done has evolved from the traditional school visit (fieldtrip) to models where students’ involvement is deeper representing the contribution of several educational theories in geography educational practices. This paper presents a rational about fieldwork implementation as a methodology of data collection used in research undertaken at a local scale, included in a program of geography initial teacher training. As the experience took place in an urban area, the paper includes a conceptual framework about the potential of the city as a research area in terms of fostering critical thinking and the formation of geographically competent citizens.
Percepción del alumnado del IES “El Tablero” (Córdoba) sobre la enseñanza y el aprendizaje de la Geografía
Authors: Lara Fuillerat José Manuel , Moraga Campos José
Published: May 2020

En este artículo pretendemos analizar la percepción del alumnado del IES El Tablero (Córdoba) sobre el proceso de enseñanza y aprendizaje de la asignatura de Geografía en los diferentes niveles en los que se imparte. Para ello, hemos utilizado un cuestionario anónimo que ha sido cumplimentado por una gran parte del alumnado del centro. Los resultados y el análisis de los mismos nos servirán para afianzar, mejorar o replantear la propuesta didáctica de esta materia.
Genomic Variation between PRSV Resistant Transgenic SunUp and Its Progenitor Cultivar Sunset
Authors: Fang Jingping , Wood Andrew , Chen Youqiang , Yue Jingjing , Ming Ray
Published: May 2020

Background: The safety of genetically transformed plants remains a subject of scrutiny. Genomic variants in PRSV resistant transgenic papaya will provide evidence to rationally address such concerns. Results: In this study, a total of more than 74 million Illumina reads for progenitor ‘Sunset’ were mapped onto transgenic papaya ‘SunUp’ reference genome. 310,364 single nucleotide polymorphisms (SNPs), 34,071 small Inserts/deletions (InDels) and 1,200 large structural variations (SVs) were detected between ‘Sunset’ and ‘SunUp’. Those variations have an uneven distribution across nine chromosomes in papaya. Only 0.27% of mutations were predicted to be high-impact mutations. ATP-related categories were highly enriched among these high-impact genes. The SNP mutation rate was about 8.4×10-4 per site, comparable with the rate induced by spontaneous mutation over numerous generations. The transition-to-transversion ratio was 1.439 and the predominant mutations were C/G to T/A transitions. Spontaneous mutations were the leading cause of SNPs in transgenic papaya ‘SunUp’. A total of 3,430 nuclear plastid DNA (NUPT) and 2,764 nuclear mitochondrial DNA (NUMT) junction sites have been found in ‘SunUp’, which is proportionally higher than the predicted total NUPT and NUMT junction sites in ‘Sunset’ (3,346 and 2,745, respectively). Among all nuclear organelle DNA (norgDNA) junction sites, 96% of junction sites were shared by ‘SunUp’ and ‘Sunset’. The average identity between ‘SunUp’ specific norgDNA and corresponding organelle genomes was higher than that of norgDNA shared by ‘SunUp’ and ‘Sunset’. Six ‘SunUp’ organelle-like borders of transgenic insertions were nearly identical to corresponding sequences in organelle genomes (98.18~100%). None of the paired-end spans of mapped ‘Sunset’ reads were elongated by any ‘SunUp’ transformation plasmid derived inserts. Significant amounts of DNA were transferred from organelles to the nuclear genome during bombardment, including the six flanking sequences of the three transgenic insertions.Conclusions: Comparative whole-genome analyses between ‘SunUp’ and ‘Sunset’ provide a reliable estimate of genome-wide variations and evidence of organelle-to-nucleus transfer of DNA associated with biolistic transformation.
Earthquake Preparedness of Households and Its Predictors Based on Health Belief Model
Authors: Rostami-Moez Masoumeh , Rabiee-Yeganeh Mohammad , Shokouhi Mohammadreza , Dosti-Irani Amin , Rezapur-Shahkolai Forouzan
Published: May 2020

Background: Earthquakes are one of the most destructive natural disasters in which many people are injured, disabled, or died. Iran has only one percent of the world's population, but the percentage of its earthquake-related deaths is absolutely higher. Therefore, this study aimed to determine the level of earthquake preparedness of households and its predictors using the Health Belief Model (HBM).Methods: This observational descriptive and analytical study was conducted on 933 households in Hamadan province, located in the west of Iran, in 2019. Multi-stage cluster random sampling was used for selecting the participants. The inclusion criteria were being at least 18 years old and being able to answer the questions. A questionnaire was used for data collection including earthquake preparedness, awareness of earthquake response, predictors of earthquake preparedness based on the HBM, and demographic information. Analysis of variance, independent t-test, and a linear regression model was used.Results: The mean age of participants was 38.24 ±12.85 years. The average score of earthquake preparedness was low (approximately 30%). There was a significant relationship between earthquake preparedness and gender (P < 0.001), homeownership (P < 0.001), marriage status (P < 0.001), education (P < 0.001), and previous earthquake experience (P < 0.001). Regarding the HBM constructs, perceived benefits (P < 0.001), cues to action (P < 0.001), and self-efficacy (P < 0.001) were significant predictors of earthquake preparedness. Conclusions: Earthquake preparedness was insufficient. Besides, perceived benefits, cues to action, and self-efficacy were predictors of earthquake preparedness. These predictors can be taken into account, for designing and implementing related future interventions.
Plasma creatine kinase and all-cause mortality in patients on peritoneal dialysis: a multi-center retrospective study
Authors: Wen Yueqiang , Peng FenFen , Feng Xiaoran , Wang Niansong , Zhan Xiaojiang , Wu Xianfeng
Published: May 2020

Background: Higher plasma creatine kinase (CK) values are associated with the failure of antihypertensive treatment. However, an association between CK and all-cause mortality in peritoneal dialysis (PD) patients has received little attention.Methods: In this retrospective multicenter study, 2224 incident PD patients with baseline CK values were enrolled from November 1, 2005, to February 28, 2017. All patients with oral statins were excluded and then were divided into four groups [Quartile 1 (<60 U/L), Quartile 2 (60-100 U/L), Quartile 3 (101-179 U/L), and Quartile 4 (>179 U/L)]. The primary endpoint was all-cause mortality. The association between plasma CK values and all-cause mortality was assessed with Cox regression and the Fine and Gray models.Results: Of eligible 1382 patients, 298 (21.6%) patients died during a median 35-month (interquartile range=19-54 months) follow-up period. Patients in Quartile 4 were older (P<0.001), more likely to be male (P<0.001), had a higher prevalence of diabetes (P=0.002), and a history of cardiovascular disease (P=0.005), and higher values of Charlson comorbidity index (P=0.031). All-cause mortality incidence had a significant difference among the four Quartiles (Quartile 1, 16.2%; Quartile 2, 22.2%; Quartile 3, 23.8%; Quartile 4, 24.1%; P=0.043). Quartile 4 had a higher all-cause mortality compared to other groups (Log Rank=10.55, P=0.015). After adjusting for confounding factors, the highest CK quartile had a hazard ratio (HR) for all-cause mortality of 1.72 [95% confidence interval (CI) 1.31-3.26, P=0.042]. With kidney transplantation or hemodialysis as a competing risk, the Quartile 4 had an HR for all-cause mortality of 1.64 (95%CI 1.25-3.48, P=0.046), after adjusting for confounding factors. Conclusions: Higher plasma CK levels at the commencement of PD may be a valuable biomarker for predicting the development of all-cause mortality in PD patients.
Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis
Authors: Cheng Lixin , Nan Chuanchuan , Kang Lin , Zhang Ning , Liu Sheng , Chen Huaisheng , Hong Chengying , Chen Youlian , Liang Zhen , Liu Xueyan
Published: May 2020

Background: Sepsis is a fatal disease referring to the presence of a known or strongly suspected infection coupled with systemic and uncontrolled immune activation causing multiple organ failure. However, current knowledge of the role of lncRNAs in sepsis is still extremely limited. Methods: We performed an in silico investigation of the gene coexpression pattern for the patients response to all-cause sepsis in consecutive intensive care unit (ICU) admissions. Sepsis coexpression gene modules were identified using WGCNA and enrichment analysis. lncRNAs were determined as sepsis biomarkers based on the interactions among lncRNAs and the identified modules. Results: Twenty-three sepsis modules, including both differentially expressed modules and prognostic modules, were identified from the whole blood RNA expression profiling of sepsis patients. Five lncRNAs, FENDRR, MALAT1, TUG1, CRNDE, and ANCR, were detected as sepsis regulators based on the interactions among lncRNAs and the identified coexpression modules. Furthermore, we found that CRNDE and MALAT1 may act as miRNA sponges of sepsis related miRNAs to regulate the expression of sepsis modules. Ultimately, FENDRR, MALAT1, TUG1, and CRNDE were reannotated using three independent lncRNA expression datasets and validated as differentially expressed lncRNAs. Conclusion: The procedure facilitates the identification of prognostic biomarkers and novel therapeutic strategies of sepsis. Our findings highlight the importance of transcriptome modularity and regulatory lncRNAs in the progress of sepsis.
Digital versus analogue chest drainage system in patients with primary spontaneous pneumothorax: a randomized controlled trial
Authors: Mooren Kris , Ruigrok Dieuwertje , Kunst Peter W.A. , Blacha Marielle M.J. , Tomlow Ben , Herbrink Jacobine W. , Japenga Eva J. , Boersma Wim , Bresser Paul , Lee Ivo van der
Published: May 2020

Background Patients with a primary spontaneous pneumothorax (PSP) who are treated with chest tube drainageare traditionally connected to an analogue chest drainage system, containing a water seal and using a visual method of monitoring air leakage. Electronic systems with continuous digital monitoring of air leakage provide better insight into actual air leakage and changes in leakage over time, which may lead to a shorter length of hospital stay.Methods We performed a randomized controlled trial comparing the digital with analogue system, with theaim of demonstrating that use of a digital drainage system in PSP leads to a shorter hospital stay.Results In 102 patients enrolled with PSP we found no differences in total duration of chest tube drainageand hospital stay between the groups. However, in a post-hoc analysis, excluding 19 patients needing surgery due to prolonged air leakage, hospital stay was significantly shorter in the digital group (median 1 days, IQR 1-5 days) compared to the analogue group (median 3 days, IQR 2-5 days) (p 0.014). Treatment failure occurred in 3 patients in both groups; the rate of recurrence within 12 weeks was not significantly different between groups (16% in the digital group versus 8% in the analogue group, p 0.339).Conclusion Length of hospital stay was not shorter in patients with PSP when applying a digital drainage system compared to an analogue drainage system. However, in the large subgroup of uncomplicated PSP, a significant reduction in duration of drainage and hospital stay was demonstrated with digital drainage. These findings suggest that digital drainage may be a practical alternative to manual aspiration in the management of PSP. Trial registration: https://www.trialregister.nl/trial/4022. Registered 22 September 2013 - Retrospectively registered, Trial NL4022 (NTR4195)
Prediction of Drug-target interactions from heterogeneous information network based on LINE embedding model
Authors: Ji Bo-Ya , You Zhu-Hong , Jiang Han-Jing , Guo Zhen-Hao , Zheng Kai
Published: May 2020

Background: The prediction of potential drug-protein target interactions (DTIs) not only provides a better comprehension of biological processes but also is critical for identifying new drugs. However, due to the disadvantages of expensive and high time-consuming traditional experiments, only a small section of interactions between drugs and targets in the database were verified experimentally. Therefore, it is meaningful and important to develop new computational methods with good performance for DTIs prediction. At present, many existing computational methods only utilize the single type of interactions between drugs and proteins without paying attention to the associations and influences with other types of molecules. Methods: In this work, we developed a novel network embedding-based heterogeneous information integration model to predict potential drug-target interactions. Firstly, a heterogeneous information network is built by combining the known associations among protein, drug, lncRNA, disease, and miRNA. Secondly, the Large-scale Information Network Embedding (LINE) model is used to learn behavior information (associations with other nodes) of drugs and proteins in the network. Hence, the known drug-protein interaction pairs can be represented as a combination of attribute information (e.g. protein sequences information and drug molecular fingerprints) and behavior information of themselves. Thirdly, the Random Forest classifier is used for training and prediction. Results: In the results, under the 5-fold cross validation, our method obtained 85.83% prediction accuracy with 80.47% sensitivity at the AUC of 92.33%. Moreover, in the case studies of three common drugs, the top 10 candidate targets have 8 (Caffeine), 7 (Clozapine) and 6 (Pioglitazone) are respectively verified to be associated with corresponding drugs. Conclusions: In short, these results indicate that our method can be a powerful tool for predicting potential drug-protein interactions and finding unknown targets for certain drugs or unknown drugs for certain targets.
Temporal expression patterns of fruit-specific α- EXPANSINS during cell expansion in bell pepper (Capsicum annuum L.)
Authors: Mayorga-Gómez Andrés , Nambeesan Savithri
Published: May 2020

Background Expansins (EXP) facilitate non-enzymatic cell wall loosening during several phases of plant growth and development including fruit growth, internode expansion, pollen tube growth, leaf and root development, and during abiotic stress responses. In this study, the spatial and temporal expression patterns of C. annuum α- EXPANSINS (CaEXPA) genes were characterized. Additionally, fruit-specific CaEXPA expression was correlated with the rate of cell expansion during bell pepper fruit development. Results Spatial expression patterns revealed that CaEXPA13 was up-regulated in vegetative tissues and flowers, with the most abundant expression in mature leaves. Expression of CaEXPA4 was associated with stems and roots. CaEXPA3 was expressed abundantly in flower at anthesis suggesting a role for CaEXPA3 in flower development. Temporal expression analysis revealed that 9 out of the 21 genes were highly expressed during fruit development. Of these, expression of six genes, CaEXPA5, CaEXPA7, CaEXPA12, CaEXPA14 CaEXPA17 and CaEXPA19 were abundant 7 to 21 days after anthesis (DAA), whereas CaEXP6 was strongly expressed between 14 and 28 DAA. Further, this study revealed that fruit growth and cell expansion occur throughout bell pepper development until ripening, with highest rates of fruit growth and cell expansion occurring between 7 and 14 DAA. The expression of CaEXPA14 and CaEXPA19 positively correlated with the rate of cell expansion, suggesting their role in post-mitotic cell expansion-mediated growth of the bell pepper fruit. In this study, a ripening specific EXP transcript, CaEXPA9 was identified, suggesting its role in cell wall disassembly during ripening.Conclusion This is the first genome-wide study of CaEXPA expression during fruit growth and development. Identification of a fruit-specific EXPAs suggest their importance in facilitating cell expansion during growth and cell wall loosening during ripening in bell pepper. These EXPA genes could be important targets for future manipulation of fruit size and ripening characteristics.
Prophylactic prednisolone for the prevention of early and intermediate adverse effects of radioactive iodine therapy in patients with thyroid cancer: study protocol for a single centre, phase II/III, randomized, double blinded, placebo controlled clinical trial
Authors: Jayarajah Umesh , Wijekoon Mahilal , Seneviratne Sanjeewa
Published: May 2020

BackgroundRadioactive iodine (RAI) therapy is the standard adjuvant treatment for differentiated thyroid cancer (i.e. papillary and follicular). RAI is associated with troublesome early, intermediate and late adverse effects. Although glucocorticoids are used for the management of these adverse effects, there is little evidence regarding the effectiveness of prophylactic glucocorticoids to prevent these complications. This trial will evaluate the efficacy of a short course of prophylactic glucocorticoids in the prevention of adverse effects of RAI treatment in patients with differentiated thyroid cancer.MethodsA phase II/III, single centre, randomized, double blinded, placebo controlled, parallel arm clinical trial will be conducted. Patients with differentiated thyroid cancer who are referred to RAI therapy at the National Cancer Institute, Sri Lanka will be randomised into two arms consisting of 200 patients each. The experimental group will receive prophylactic oral prednisolone 0.5mg/kg and omeprazole 20mg single dose 6 hours before RAI therapy followed by oral prednisolone 0.5mg/kg and omeprazole 20mg daily for 3 days. The control group will receive oral placebo and omeprazole 20mg single dose 6 hours before RAI therapy followed by oral placebo and omeprazole 20mg daily for 3 days. Clinically significant adverse effects assessed as related to RAI as well as prednisolone therapy and the quality of life parameters will be compared between the two groups.DiscussionIf proven beneficial, this intervention can be incorporated into the standard practice to reduce early and intermediate adverse effects of RAI for thyroid cancer with a potential improvement of quality of life. Trial registrationRegistration ID: Sri Lanka Clinical Trials Registry: SLCTR/2020/009 Registered prospectively on 23 February 2020. Url: https://slctr.lk/trials/slctr-2020-009
Application of Droplet Digital PCR for the Detection of Vector Copy Number in Clinical CAR/TCR T-Cell Products
Authors: Lu Alex , Liu Hui , Shi Rongye , Cai Yihua , Ma Jinxia , Shao Lipei , Rong Victor , Gkitsas Nikolaos , Lei Hong , Highfill Steven L. , Panch Sandhya , Stroncek David F. , Jin Ping
Published: May 2020

Background : Genetically engineered T cells have become an important therapy for B-cell malignancies. Measuring the efficiency of vector integration into the T cell genome is important for assessing the potency and safety of these cancer immunotherapies. Methods: A digital droplet polymerase chain reaction (ddPCR) assay was developed and evaluated for assessing the average number of lenti- and retroviral vectors integrated into Chimeric Antigen Receptor (CAR) and T-Cell Receptor (TCR)-engineered T cells. Results: The ddPCR assay consistently measured the concentration of an empty vector in solution and the average number of CAR and TCR vectors integrated into T cell populations. There was a linear relationship between the average vector copy number per cell measured by ddPCR and the proportion of cells transduced as measured by flow cytometry. Similar vector copy number measurements were obtained by different staff using the ddPCR assay, highlighting the assays reproducibility among technicians. Analysis of fresh and cryopreserved CAR-T and TCR engineered T cells yielded similar results. Conclusions: ddPCR is a robust tool for accurate quantitation of average vector copy number in CAR and TCR engineered T-cells. The assay is also applicable to other types of genetically engineered cells including Natural Killer cells and hematopoietic stem cells.
Celecoxib added to mood stabilizer for treating acute mania: A randomized, double -blind, placebo-controlled trial
Authors: Faridhosseini Farhad , talaei Ali , shahini najmeh , poorgholami meysam , eslamzadeh mahbobeh , ahrari Samira , rezaeian majid khadem
Published: May 2020

Background: Inflammatory processes in the brain contribute to the aetiopathogenesis of acute mania. Cyclooxygenase-2 (COX-2) inhibitors, such as celecoxib, reduce the production of pro-inflammatory cytokines. The purpose of the present investigation was to assess the efficacy of celecoxib in the treatment of ACUTE MANIA.Methods: We conducted double-blind, placebo-controlled trial at the Specialty in-patient Clinic of Ibne Sina Hospital [Mashhad University of Medical Sciences, Iran] during March 2014 to August 2014. The study involved 58 patients who met the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) criteria for ACUTE MANIA screening to participate in the trial were used for the study. 23 patients were assigned to a study group and were given valprovate sodium 200 mg /BD plus celecoxib 400 mg/day (200 mg BID). The control group included 22 patients who were given valprovate sodium 200 mg /BD plus placebo. Patients were assessed by yung mania rating scale (YMRS) at baseline 0, after 9, 18, and 28 days after the medication started. Data were analyzed by using Statistical Package for Social Sciences (SPSS) 11.5., two-way repeated measures analysis of variance, Fisher’s exact test, and T-Test. P≤0.05 was considered to be statistically significant. Conclusion: This study suggested that celecoxib can be an effective adjuvant agent in management of patients with ACUTE MANIA and anti-inflammatory therapies should further be investigated in this patients.Trial registration: Iran clinical trial register: IRCT20200306046708N1 Registered on 2 October 2019.
A heuristic model for collaborative practice – Part 2: An elaboration of theoretical perspectives and strategies in community mental health and substance abuse care
Authors: Sundet Rolf , Kim Hesook Suzie , Karlsson Bengt , Borg Marit , Sælør Knut Tore , Ness Ottar
Published: May 2020

Background Various models for collaborative practice in mental health care incorporating the perspectives of service-user participation and collaboration in the care have been developed. However, the emphasis in these practice models has not been on identifying specific features of “how” collaboration and service-user participation can occur and be nurtured. This suggests a need for a collaborative practice model that specifies essential strategies operationalizing the tenets of service-user participation and collaboration applicable in mental health and substance abuse (MHSA) care. Methods A double helix approach of coalescing theoretical ideas and empirical findings to develop a practice model that is applicable in MHSA practice. A theoretical analysis is carried out to identify the critical, foundational elements for collaborative practice in MHSA practice, and has identified the philosophical-theoretical orientations of Habermas’ theory of communicative action, Bakhtin’s dialogicality, and the philosophy of personhood as the foundational features of collaboration. This base is juxtaposed with the results of a qualitative meta-analysis of 18 empirical articles on collaboration in MHSA to advance a collaborative practice model specifically in the domain of service user/professional collaboration. Results “The collaborative, dialogue-based clinical practice model” (CDCP Model) for community mental health care is proposed, within the structure of four main components. The first specifies the framework for practice that includes person-centered care, recovery-orientation, and a pluralistic orientation and the second identifies the domains of collaboration as service user/professional collaboration, inter-professional collaboration, and service sector collaboration. The third identifies self-understanding, mutual understanding, and shared decision-making as the essential principles of collaboration. The fourth specifies interactive-dialogic processes, negotiated-participatory engagement processes, and negotiated-supportive processes as the essential strategies of collaboration applicable in service user/professional collaboration which were extracted in the empirical work. An illustration of the CDCP Model in a clinical case is given.Conclusions The CDCP Model presented fills the gap that exists in the field of community MHSA practice regarding how to operationalize systematically the tenets of person-centeredness, recovery-oriented, and pluralism-oriented practice in terms of user/professional collaboration.
Machine Learning model to predict the number of cases contaminated by COVID-19.
Authors: Erraissi Allae , Azouazi Mohamed , Belangour Abdessamad , Banane Mouad
Published: May 2020

Introduction:
This paper presents a dedicated machine learning model to predict the number of cases infected by the Corona Virus; the case of Morocco was chosen to validate this study.
Case description:
Completely realized in Spark ML with the 'Scala' language and tested for a certain number of algorithms generated on datasets coming from dedicated sources to gather Covid19 data in the world.
Discussion and Evaluation:
The results show the possibility of achieving better scores prediction after using the proposed method. We tested our model on the case of China and the results were relevant.
Conclusion
The proposed Machine Learning model can be applied to data from any country in the world. We have applied it in this paper to the case of Morocco and China. We are sending this work to the world to help them fight this 2019 Corona Virus pandemic.
Ephedra alata extracts exhibits anti-obesity, anti-hyperlipidaemic, anti-hyperglycemia, anti-antipyretic and analgesic effects through the inhibition of lipase, α-amylase and inflammation
Authors: Tiss Mohamed , Souiy Zoubeida , Boujbiha Mohamed , Achour Lotfi , Hamden Khaled
Published: May 2020

In this present study, phytochemical screening, anti-obesity, anti- antipyretic and analgesic effect of Ephedra alata (EA) extracts were evaluated. Results of this study showed that the methanol EA extract (MEAE) had a stronger inhibition activity on key enzyme related to obesity as lipase (IC50 = 1.296 mg/ml) as compared to water and ethyl acetate extracts ( with IC50 = 1.639 and 1.897 respectively). Also results revealed that ethyl acetate extract depicted high activity toward key enzyme related to hyperglycemia as α-amylase (IC50 = 0.284 mg/mL) while water and methanol extracts showed good to moderate inhibitory activity (IC50 = 1,525 and 1,103 mg/ml respectively). In HFFD rats, the administration of MEAE at 200 mg/kg inhibited key enzyme related to fat digestion and absorption as lipase in the intestine, pancreas and serum by 53, 40 and 53% respectively,which leads to decrease in body weight by 20% and also modulation of lipid profile. In addition, the administration of MEAE to HFFD-rats exerts an inhibitory effect on α-amylase activity in the intestine, pancreas and serum by 43, 26 and 46% respectively and this leads to decrease in blood glucose level by 35%. Also, MEAE exert antipyretic and analgesic activities. This study demonstrates for the first time that MEAE are efficient in preventing obesity and hyperglycemia and liver toxicity. This data generated during study shows antipyretic and analgesic activities of MEAE.
Improvements in French Risk Stratification Score were Correlated with Reductions in Mean Pulmonary Artery Pressure in Pulmonary Arterial Hypertension: A Subanalysis of the Japan Pulmonary Hypertension Registry (JAPHR)
Authors: Tamura Yuichi , Kumamaru Hiraku , Abe Kohtaro , Satoh Toru , Miyata Hiroaki , Ogawa Aiko , Tanabe Nobuhiro , Hatano Masaru , Yao Atsushi , Tsujino Ichizo , Fukuda Keiichi , Kimura Hiroshi , Kuwana Masataka , Matsubara Hiromi , Tatsumi Koichiro
Published: May 2020

Background Since there was no previous report, we analyzed the relationship between French Risk Stratification parameters in pulmonary arterial hypertension (PAH) and mean pulmonary arterial pressures (mPAP) using Japan PH Registry (JAPHR) national-wide cohort.Methods We enrolled 108 patients with PAH from JAPHR from previous reported cohort and analyzed the relations between French Risk Stratification scores and hemodynamic improvements.Results The ratio meeting 0 to 4 French Risk Stratification score was 21.3%, 31.5%, 32.4%, 13.0%, and 1.9% at baseline, and 6.5%, 23.2%, 33.3%, 23.2%, 13.9% at follow-up, respectively. The improvements in the number of criteria met were associated both with mPAP at follow-up (p = 0.03) and with the improvements in mPAP (p < 0.001).Conclusion The improvements in French Risk Stratification may become a marker of improved hemodynamics including mPAP.
Prediction and identification of immune genes related to the prognosis of patients with colon adenocarcinoma and its mechanisms
Authors: Chen Sihan , GD Cao , wei Wu , Yida Lu , Xiaobo He , Lei Yang , Ke Chen , Chen Bo , Xiong MaoMing
Published: May 2020

Background
Colon adenocarcinoma(COAD) is a type of gastrointestinal tumor with a high degree of malignancy, and its immunotherapy method has been stagnant. Recently, with the development of network databases and the development of bioinformatics tools, we can analyze the data in the current database to find out which genes may be the target of immunotherapy for COAD.
Methods
We use various codes and packages in R language to analyze the downloaded data, construct a riskScore model of immune genes and clinical data, and use Cox regression analysis to explore the clinical relationship between riskScore and COAD.
Results
We found that seven immune genes associated with the survival prognosis of COAD were related to the construction of a riskScore model. And Cox regression analysis found that there was clinical significance and statistical significance between the riskScore model and clinical data of COAD. Some traditional immune microenvironment cells also increase their cell content with the increase of riskScore.
Conclusions
We found 7 immune genes (SLC10A2, CXCL3, IGHV5-51, INHBA, STC1, UCN, and OXTR) that affect the clinical prognosis of COAD patients and can construct a riskScore model. It may be a target for future COAD immunotherapy.
Clinical efficacy of intersphincteric resection for low rectal cancer compared with abdominoperineal resection: a single-center retrospective study
Authors: Peng Baifu , Wu Zixin , He Zijian , Li Guanwei , Cao Jie , Li Wanglin
Published: May 2020

Purpose

In recent years, intersphincteric resection (ISR) has been increasingly used to replace abdominoperineal resection (APR) for low rectal cancer. This study was to compare the clinical efficacy of ISR and APR.
Methods

Between 2012 and 2018, 74 consecutive patients with low rectal cancer underwent ISR and APR in our medical centre. The outcomes were retrospectively studied and compared.
Results

A total of 43 patients underwent ISR and 31 underwent APR were included in the study. No significant differences were found between two groups in gender, age, BMI and ASA score. ISR group showed shorter operative time (P = 0.02) and less blood loss (P = 0.001). Hospital stays, time to soft diet, and postoperative thirty-day complications were not significantly different between the two groups. As for the long-term outcomes, the survival and recurrence rate were similar between two groups. Moreover, LARS score and Wexner score showed the anal function after ISR was generally satisfactory.
Conclusion

This study suggested that ISR may provide a feasible alternative to APR, with superior short-term outcomes, similar oncological outcomes and satisfactory postoperative anal function.