bluuebunny/crossref_metadata_2025 huggingface dataset:
Electrochemical immunosensor with surface-confined probe for sensitive and reagentless detection of breast cancer biomarker
Authors: Zhong Huage , Zhao Chang , Chen Jie , Chen Miao , Luo Tao , Tang Weizhong , Liu Junjie
Published: June 2020

An electrochemical immunosensor with surface-confined redox probes as signal indicators was developed via LBL self-assembly technique for sensitive and reagentless detection of ErbB2.
Directly writing flexible temperature sensor with graphene nanoribbons for disposable healthcare devices
Authors: Gong Xue , Zhang Long , Huang Yinan , Wang Shuguang , Pan Gebo , Li Liqiang
Published: June 2020

A flexible temperature sensor is developed by directly writing or mask spraying commonly-used paper with graphene nanoribbon ink. The sensor is ultralow cost, degradable, and highly promising as a disposable device for personal healthcare.
Catastrophic thermal destabilization of two-dimensional close-packed emulsions due to synchronous coalescence initiation
Authors: Abedi Samira , Chen Chau-Chyun , Vanapalli Siva A.
Published: June 2020

The mechanism causing thermal destabilization of emulsions is investigated. During heating, synchronous coalescence is initiated between partially crystalline droplets creating a system-spanning network which phase separates.
Hybrid GMP–polyamine hydrogels as new biocompatible materials for drug encapsulation
Authors: Lopera Alberto , Aguilar Juan A. , Belda Raquel , Verdejo Begoña , Steed Jonathan W. , García-España Enrique
Published: June 2020

Pyrazole-based polyamines stabilise G-quartet based GMP hydrogels at human skin pH and GMP concentrations one order of magnitude lower than typically employed, allowing in some cases drug encapsulation without disrupting the hydrogel structure.
A conductive 1D high-nucleus silver polymer as a brilliant non-hybrid supercapacitor electrode
Authors: Liu Kuan-Guan , Rouhani Farzaneh , Moghanni-Bavil-Olyaei Hamed , Wei Xue-Wen , Gao Xue-Mei , Li Jing-Zhe , Yan Xiao-Wei , Hu Mao-Lin , Morsali Ali
Published: June 2020

A one-dimensional high-nucleus silver polymer (SSc: silver supercapacitor) was designed by a simple and single-step synthesis.
Coordination-driven reversible surfaces with site-specifically immobilized nanobody for dynamic cancer cell capture and release
Authors: Han Lulu , Peng Ruilian , Jiang Wenning , Xu Ting , Zhang Chong , Chen Kaidi , Zhang Yixin , Song Haiyuan , Jia Lingyun
Published: June 2020

Coordination-driven reversible surfaces with site-specifically immobilized his-tagged nanobody for high-efficiency capture and release of cancer cells.
Combining surface chemistry modification and in situ small-angle scattering characterization to understand and optimize the biological behavior of nanomedicines
Authors: Le Goas Marine , Roussel Tom , Kalbazova Maria , Carrière David , Barruet Elodie , Geertsen Valerie , Fadda Giulia C. , Testard Fabienne , Carrot Geraldine , Renault Jean-Philippe
Published: June 2020

Monitoring structural transformation and quantity of NPs in biologically relevant environments with small-angle scattering techniques.
Controllable distribution of conductive particles in polymer blends via a bilayer structure design: a strategy to fabricate shape-memory composites with tunable electro-responsive properties
Authors: Zheng Yu , Qin Jingxian , Shen Jiabin , Guo Shaoyun
Published: June 2020

Bilayer composites enable tunable electro-responsive shape-memory performances via the controllable distribution of MWCNTs.
KRT8 and KRT19, associated with EMT, are hypomethylated and overexpressed in lung adenocarcinoma and link to unfavorable prognosis
Authors: Wang Wenlong , He Junhong , Lu Hongda , Kong Qingzhi , Lin Shengyou
Published: June 2020

Background: Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer. To date, the prognosis of patients with LUAD remains dismal. Methods: Three datasets were downloaded from the GEO database. Differentially expressed genes (DEGs) were obtained. FunRich was used to perform pathway enrichment analysis. Protein–protein interaction (PPI) networks were established and hub genes were obtained by Cytoscape software. GEPIA was utilized to conduct correlation and survival analysis. Upstream miRNAs of DEGs were predicted via miRNet database, and methylation status of promoters of DEGs was determined through UALCAN database. Results: A total of 375 DEGs, including 105 and 270 up-regulated and down-regulated genes in LUAD, were commonly appeared in three datasets. These DEGs were significantly enriched in mesenchymal-to-epithelial transition (MET) and epithelial-to-mesenchymal transition (EMT). About 8 up-regulated and 5 down-regulated DEGs were commonly appeared in EMT/MET-related gene set and the top 50 hub gene set. Among the 13 genes, increased expression of KRT8 and KRT19 indicated unfavorable prognosis whereas high expression of DCN and CXCL12 suggested favorable prognosis in LUAD. Correlation analysis showed that KRT8 (DCN) expression was linked to KRT19 (CXCL12) expression. Further analysis displayed that KRT8 and KRT19 could jointly forecast poor prognosis in LUAD. About 42 and 2 potential miRNAs were predicted to target KRT8 and KRT19, respectively. Moreover, methylation level analysis demonstrated that KRT8 and KRT19 were significantly hypomethylated in LUAD compared with normal controls. Conclusions: All these findings suggest that KRT8 and KRT19 are hypomethylated and overexpressed in LUAD and associated with unfavorable prognosis.
Occupation of a thermoresistant-scaffold (αRep) at SP1-NC cleavage site disturbs the function of HIV-1 protease
Authors: Hadpech Sudarat , Peerakam Nichakan , Chupradit Koollawat , Tayapiwatana Chatchai
Published: June 2020

HIV-1 nucleocapsid (NC) becomes an attractive target for the development of novel anti-HIV-1 agents. Discovering of non-antibody scaffolds that disrupt the function of NC will be a potential aspect for disturbing viral maturation process. Correspondingly, we explored the specific binding site of the thermoresistant-scaffold protein, αRep9A8 which formerly demonstrated the inhibitory effect on HIV-1 replication. The portion of Gag, CA21-SP1-NC has been used as a template for designing nine overlapping peptides (P4–P12). The P9 peptide showed the strongest binding activity followed by P8 and P12 respectively. The amino acid sequences on those peptides resemble the N-terminal domain of the NC proximity to the SP1-NC initial cleavage site and across the conserved CCHC zinc finger 1 (ZF1) of NC. The interaction KD between αRep9A8 with its target was 224.9 ± 57.4 nM. Consequently, αRep9A8 demonstrated the interference of the HIV-1 protease function by hindering a protease cleavage site. The released NC product from CA21-SP1-NC was diminished. The present study provided an additional information of αRep9A8 function in interfering of viral maturation processes resulting in the decremental efficiency of viral infectivity.
Gut dysbiosis is associated with primary hypothyroidism with interaction on gut-thyroid axis
Authors: Su Xinhuan , Zhao Ying , Li Yang , Ma Shizhan , Wang Zhe
Published: June 2020

Background Previous studies have shown that the gut microbiome is associated with thyroid diseases, including Graves’ disease, Hashimoto's disease, thyroid nodules, and thyroid cancer. However, the association between intestinal flora and primary hypothyroidism remains elusive. We aimed to characterize gut microbiome in primary hypothyroidism patients.

Methods Fifty-two primary hypothyroidism patients and 40 healthy controls were recruited. The differences in gut microbiota between the two groups were analyzed by 16S rRNA sequencing technology. Fecal microbiota transplantation (FMT) was performed in mice using flora from both groups; changes in thyroid function were then assessed in the mice.

Results There were significant differences in α and β diversities of gut microbiota between primary hypothyroidism patients and healthy individuals. The random forest analysis indicated that four intestinal bacteria (Veillonella, Paraprevotella, Neisseria, and Rheinheimera) could distinguish untreated primary hypothyroidism patients from healthy individuals with the highest accuracy; this was confirmed by receiver operator characteristic curve analysis. The short chain fatty acid producing ability of the primary hypothyroidism patients’ gut was significantly decreased, which resulted in the increased serum lipopolysaccharide (LPS) levels. The FMT showed that mice receiving the transplant from primary hypothyroidism patients displayed decreased total thyroxine levels.

Conclusions Our study suggests that primary hypothyroidism causes changes in gut microbiome. In turn, an altered flora can affect thyroid function in mice. These findings could help understand the development of primary hypothyroidism and might be further used to develop potential probiotics to facilitate the adjuvant treatment of this disease.
Hybrid AC/DC hub for integrating onshore wind power and interconnecting onshore and offshore DC networks
Authors: Huang Kai , Xiang Wang , Xu Lie , Wang Yi
Published: June 2020

A hybrid AC/DC hub is proposed in this study, where a modular multilevel converter and a line‐commutated converter are paralleled at the AC side to integrate onshore wind power, and connected in series at the DC sides to interconnect two DC networks with different voltages. The hybrid AC/DC hub facilitates wind power integration and DC network interconnection with reduced converter ratings and power losses when compared with the ‘conventional’ approach using DC–DC converters. To investigate the design requirement and performance of the hybrid AC/DC hub, power flow analysis is assessed to evaluate the converter power rating requirement. To ride through DC faults at either side of the interconnected DC networks, a coordinated DC fault protection for the hybrid AC/DC hub is proposed and studied. Simulation results in PSCAD/EMTDC verify the feasibility and effectiveness of the proposed control and protection of the hybrid AC/DC hub under power flow change, AC and DC fault conditions.
Simulating JWST deep extragalactic imaging surveys and physical parameter recovery
Authors: Kauffmann O. B. , Le Fèvre O. , Ilbert O. , Chevallard J. , Williams C. C. , Curtis-Lake E. , Colina L. , Pérez-González P. G. , Pye J. P. , Caputi K. I.
Published: June 2020

We present a new prospective analysis of deep multi-band imaging with the James Webb Space Telescope (JWST). In this work, we investigate the recovery of high-redshift 5 <  z <  12 galaxies through extensive image simulations of accepted JWST programs, including the Early Release Science in the EGS field and the Guaranteed Time Observations in the HUDF. We introduced complete samples of ∼300 000 galaxies with stellar masses of log(M*/M⊙) > 6 and redshifts of 0 <  z <  15, as well as galactic stars, into realistic mock NIRCam, MIRI, and HST images to properly describe the impact of source blending. We extracted the photometry of the detected sources, as in real images, and estimated the physical properties of galaxies through spectral energy distribution fitting. We find that the photometric redshifts are primarily limited by the availability of blue-band and near-infrared medium-band imaging. The stellar masses and star formation rates are recovered within 0.25 and 0.3 dex, respectively, for galaxies with accurate photometric redshifts. Brown dwarfs contaminating the z >  5 galaxy samples can be reduced to < 0.01 arcmin−2 with a limited impact on galaxy completeness. We investigate multiple high-redshift galaxy selection techniques and find that the best compromise between completeness and purity at 5 <  z <  10 using the full redshift posterior probability distributions. In the EGS field, the galaxy completeness remains higher than 50% at magnitudes mUV <  27.5 and at all redshifts, and the purity is maintained above 80 and 60% at z ≤ 7 and 10, respectively. The faint-end slope of the galaxy UV luminosity function is recovered with a precision of 0.1–0.25, and the cosmic star formation rate density within 0.1 dex. We argue in favor of additional observing programs covering larger areas to better constrain the bright end.
Random walks in random sceneries and related models
Authors: Pène Françoise
Published: June 2020

We present random walks in random sceneries as well as three related models: U-statistics indexed by random walks, a model of stratified media with inhomogeneous layers (random one-way streets) and the one-dimensional Lévy-Lorentz gas (random roundabouts on a line). We present in particular results obtained in collaboration with Castell, Guillotin-Plantard, Br. Schapira, Franke, Wendler, Aurzada, Bianchi and Lenci.
Some recent advances for limit theorems
Authors: Arras Benjamin , Breton Jean-Christophe , Deshayes Aurelia , Durieu Olivier , Lachièze-Rey Raphaël
Published: June 2020

We present some recent developments for limit theorems in probability theory, illustrating the variety of this field of activity. The recent results we discuss range from Stein’s method, as well as for infinitely divisible distributions as applications of this method in stochastic geometry, to asymptotics for some discrete models. They deal with rates of convergence, functional convergences for correlated random walks and shape theorems for growth models.
Impact of coronavirus pandemic crisis in endoscopic clinical practice: Results from a national survey in Brazil
Authors: Arantes Vitor Nunes , Martins Bruno Costa , Seqatto Raphael , Milhomen-Cardoso Daniela Medeiros , Franzini Tomazo Prince , Zuccaro Anna Maria , Alves Jairo Silva , Maluf-Filho Fauze
Published: June 2020

Background and study aims In March 2020, the World Health Organization declared coronavirus disease of 2019 (COVID-19) as a pandemic, mobilizing all countries to contain the disease spread. Activity in endoscopy centers globally was severely affected. We conducted a national survey aiming to assess the impact of the COVID-19 outbreak on endoscopic clinical practice in Brazil.

Methods In April 2020, 3,719 associate members of SOBED (Brazilian Society of Digestive Endoscopy) were invited to respond to an electronic survey. An Internet link was established to provide access to the online questionnaire with 40 questions regarding personal profile, endoscopy unit logistics and schedule, availability and use of personal protective equipment (PPE), financial impact, and exposure to COVID-19.

Results A total of 2,131 individuals (67 %) accessed the questionnaire and 1155 responses were received. After review, 980 responses were considered valid. According to almost 90 % of respondents, endoscopy activity was restricted to urgent procedures, in both public and private hospitals. All respondents increased PPE use after the outbreak, however, institutions provided adequate PPE to only 278 responders (28.7 %). Significant income loss was universally reported. A total of 10 practitioners (1 %) reported COVID-19 infection and attributed the contamination to endoscopic procedures.

Conclusions Based on this nationwide survey with almost 1,000 respondents, the COVID-19 pandemic substantially reduced the activity of endoscopy units in private and public settings. The pandemic increased awareness of PPE use, but its availability was not universal and 1 % of the respondents became infected with COVID-19, allegedly due to exposure during endoscopic procedures.
Riechstörungen bei COVID-19 – aktueller Wissensstand
Authors: Otte Martin Sylvester , Klußmann Jens Peter , Luers Jan Christoffer
Published: June 2020

Nachdem anfängliche Berichte über die SARS-CoV-2-Infektion Riech- und Schmeckstörungen kaum erwähnten, haben mittlerweile mehrere Studien, insbesondere aus Europa und den USA, diese Symptome als Merkmal von COVID-19 bestätigt. Gut 2 Drittel der Erkrankten scheinen im Verlauf der Erkrankung eine Riech- und Schmeckminderung zu erleiden, wobei die meisten der bislang veröffentlichten Studien auf Fragebögen und anamnestischen Daten basieren. Validierte Riechtests wurden bislang nur in wenigen Studien eingesetzt. Eine Unterscheidung zwischen Schmeck- und Geschmacksstörungen, also eine Abgrenzung des retronasalen Aromaschmeckens über das olfaktorische System von der Dysfunktion von Geschmackspapillen und der weiterführenden Hirnnerven, erfolgte in den bisher verfügbaren Studien zumeist nicht. Einige Berichte assoziieren die Riechstörungen mit einem milderen klinischen Krankheitsverlauf. Gleichzeitig stellt das Riechsystem über den Bulbus olfactorius eine Eintrittspforte in das zentrale Nervensystem dar, und eine Riechstörung könnte ein prädisponierender Faktor für zentral-neurologische Symptome sein. Die klinische Bedeutung von Riech- und Schmeckstörungen bei COVID-19-Patienten ist aktuell noch unklar. Weitere offene Fragen betreffen die genaue Prävalenz und die Prognose, sodass insgesamt höherwertige Studien mit validierten Riechtests und größeren Patientenzahlen zu fordern sind.
Influenza Virus in Community-Acquired Pneumonia: Current Understanding and Knowledge Gaps
Authors: Xu Jiuyang , Yu Jiapei , Yang Luning , Zhou Fei , Li Hui , Cao Bin
Published: June 2020

Influenza virus infection poses a heavy burden on global health and economics. With the advancement in viral pathogen detection methods, the role of virus infection in community-acquired pneumonia has been increasingly recognized. The disease spectrum of influenza ranges from asymptomatic infection to severe or even fatal illness. Progress has been made in recent years to identify risk factors including lymphopenia and hypoxia for influenza mortality. Immunopathology plays an important role in influenza pathogenesis. The disturbed homeostasis after virus infection consists of both an excessive inflammatory phase and an immune suppression phase, collectively described as viral sepsis. Multiple antiviral therapies have been tested and some were advanced to late-phase clinical trials, including polymerase inhibitors, hemagglutinin inhibitors, host-acting antivirals, monoclonal antibodies, and adjunctive immunomodulatory therapies. Combination therapies have been shown to increase antiviral efficacy and genetic resistance barrier. In this review, we summarized the recent advances in our understanding of the disease pathogenesis, as well as the progress in antiviral therapy development. We also pointed out current key knowledge gaps in influenza research. Hopefully, experience gained from seasonal influenza research will prepare us for the next influenza pandemic and emerging respiratory pathogens.
Factors Influencing Problem List Use in Electronic Health Records—Application of the Unified Theory of Acceptance and Use of Technology
Authors: Klappe Eva S. , de Keizer Nicolette F. , Cornet Ronald
Published: June 2020

Background Problem-oriented electronic health record (EHR) systems can help physicians to track a patient's status and progress, and organize clinical documentation, which could help improving quality of clinical data and enable data reuse. The problem list is central in a problem-oriented medical record. However, current problem lists remain incomplete because of the lack of end-user training and inaccurate content of underlying terminologies. This leads to modifications of diagnosis code descriptions and use of free-text notes, limiting reuse of data.

Objectives We aimed to investigate factors that influence acceptance and actual use of the problem list, and used these to propose recommendations, to increase the value of problem lists for (re)use.

Methods Semistructured interviews were conducted with physicians, heads of medical departments, and data quality experts, who were invited through snowball sampling. The interviews were transcribed and coded. Comments were fitted in constructs of the validated framework unified theory of acceptance user technology (UTAUT), and were discussed in terms of facilitators and barriers.

Results In total, 24 interviews were conducted. We found large variability in attitudes toward problem list use. Barriers included uncertainty about the responsibility for maintaining the problem list and little perceived benefits. Facilitators included the (re)design of policies, improved (peer-to-peer) training to increase motivation, and positive peer feedback and monitoring. Motivation is best increased through sharing benefits relevant in the care process, such as providing overview, timely generation of discharge or referral letters, and reuse of data. Furthermore, content of the underlying terminology should be improved and the problem list should be better presented in the EHR system.

Conclusion To let physicians accept and use the problem list, policies and guidelines should be redesigned, and prioritized by supervising staff. Additionally, peer-to-peer training on the benefits of using the problem list is needed.
Antibiotic Lock Therapy with Linezolid for the Treatment of Persistent Catheter-Related Infection in Children with Cancer
Authors: Sarı Neriman , Okur Nurettin , Çakmakcı Selma , Aksu Tekin , İlhan İnci Ergürhan
Published: June 2020

Objective Central venous catheter (CVC) colonization is a common problem in the pediatric oncology department. Initial colonization of CVC by coagulase-negative staphylococci (CoNS), Staphylococcus aureus, and enterococci is followed by the growth of intraluminal bioﬁlm formation, and results in antibiotic therapy failure. The removal of the old CVC and insertion of new CVC is a difficult and expensive procedure in small children with cancer. The present article aimed to study our treatment results of antibiotic lock therapy (ALT) with linezolid in pediatric cancer patients.

Methods This study was planned as retrospective presentation of case series with eight pediatric cancer patients treated with 11 courses of systemic and linezolid lock therapy. Demographic information, clinical findings, laboratory data, blood culture results, complications, and outcome were collected for each patient retrospectively and descriptive statistical methods were used.

Results Prior to treatment, peripheral and CVC blood culture results showed Staphylococcus epidermidis in seven patients and Staphylococcus hominis in four patients. All pathogens were susceptible to vancomycin and teicoplanin; first-line treatment was vancomycin in six and teicoplanin in five patients. After first-line treatment, peripheral blood cultures of all patients were negative, whereas blood cultures from CVC remained positive. During second-line therapy with linezolid, microbiological eradication was achieved on the fourth day of treatment in each patient. Median catheter survival time for all patients was 14 (range: 8–30) months. No side effects were observed during the treatment and no resistant organisms were documented.

Conclusion Although multicentric prospective controlled trials will be required to provide more generalizable results, we suggest that systemic antibiotics combined with linezolid lock therapy used in pediatric cancer patients may be an effective option in treating catheter-related bloodstream infection (CRBSI) and prolonging CVC survival when CoNS are identified.
In vivo assessment of body composition and growth potential of modern broiler using dual-energy X-ray absorptiometry
Authors: Gonçalves Camila Angelica , Kazue Sakomura Nilva , Freire Sarcinelli Miryelle , Pacheco Letícia Graziele , Soares Letícia , Cunha Melaré Mirella , Junior Alves Warley , Gous Robert Mervyn
Published: June 2020

Context
Genetic improvements in modern strains have led to continuous increments in broiler growth rates, which, as a consequence, have resulted in higher economic returns for broiler producers over the last decades.

Aim
The present study was conducted to characterise the potential growth of the body and feathers of Cobb 500, Hubbard Flex and Ross 308 male and female broilers, as well as to assess the changes in chemical composition that occur up to 16 weeks of age.

Methods
Birds were fed isoenergetic diets divided in four phases and formulated to marginally exceed the nutritional requirements of the strains throughout the growing period. They were maintained in a controlled environment so as not to limit growth. A dual energy X-ray absorptiometry (DXA) scanner was used to follow the in vivo body composition of 12 broilers of each strain and sex (total of 72 broilers), and the feather weight and composition was determined in four birds of each strain and sex selected at intervals during the growing period (total of 288 broilers) through comparative slaughter with later chemical analysis.

Key results
Parameters of Gompertz growth curve to describe the strains were estimated for body and feather weight as well as for the growth of their chemical components.

Conclusion
Differences in the growth rates between strains were evident, indicating the possible differences in selection methods used by geneticists in the different breeding companies. These genetic parameters would explain part of the variation on broiler´s performance which impacts on the way they should be fed and housed during growth.

Implications
The accurate description of genetic growth potential is useful information to be associated with factorial models that predict nutritional and feed intake requirements of birds. The main advantage of DXA technology is to decrease the variation of body deposition on the Gompertz model, resulting from the use of the same bird throughout its life. Despite the speed of obtaining chemical values of the body, the method is unsuitable for measuring the growth of feathers, which is also important data to be collected and related to the broiler strains.
Mouse testicular transcriptome after modulation of non-canonical oestrogen receptor activity
Authors: Duliban M. , Gurgul A. , Szmatola T. , Pawlicki P. , Milon A. , Arent Z. J. , Grzmil P. , Kotula-Balak M. , Bilinska B.
Published: June 2020

The aims of this study were to shed light on the role of G-protein-coupled membrane oestrogen receptor (GPER) and oestrogen-related receptor (ERR) in mouse testis function at the gene expression level, as well as the involvement of GPER and ERR in cellular and molecular processes. Male mice were injected (50µg kg−1,s.c.) with the GPER antagonist G-15, the ERRα inverse agonist XCT790 or the ERRβ/ERRγ agonist DY131. Next-generation sequencing (RNA-Seq) was used to evaluate gene expression. Bioinformatic analysis of read abundance revealed that 50, 86 and 171 transcripts were differentially expressed in the G-15-, XCT790- and DY131-treated groups respectively compared with the control group. Annotated genes and their protein products were categorised regarding their associated biological processes and molecular functions. In the XCT790-treated group, genes involved in immunological processes were upregulated. In the DY131-treated group, genes with increased expression were primarily engaged in protein modification (protein folding and small protein conjugation). In addition, the expression of genes recognised as oncogenes, such as BMI1 proto-oncogene, polycomb ring finger (Bmi1) and nucleophosphin 1 (Npm1), was significantly increased in all experimental groups. This study provides detailed information regarding the genetic changes in the testicular transcriptome of the mouse in response to modulation of non-canonical oestrogen receptor activity.
Wbox2: A clathrin terminal domain–derived peptide inhibitor of clathrin-mediated endocytosis
Authors: Chen Zhiming , Mino Rosa E. , Mettlen Marcel , Michaely Peter , Bhave Madhura , Reed Dana Kim , Schmid Sandra L.
Published: June 2020

Clathrin-mediated endocytosis (CME) occurs via the formation of clathrin-coated vesicles from clathrin-coated pits (CCPs). Clathrin is recruited to CCPs through interactions between the AP2 complex and its N-terminal domain, which in turn recruits endocytic accessory proteins. Inhibitors of CME that interfere with clathrin function have been described, but their specificity and mechanisms of action are unclear. Here we show that overexpression of the N-terminal domain with (TDD) or without (TD) the distal leg inhibits CME and CCP dynamics by perturbing clathrin interactions with AP2 and SNX9. TDD overexpression does not affect clathrin-independent endocytosis or, surprisingly, AP1-dependent lysosomal trafficking from the Golgi. We designed small membrane–permeant peptides that encode key functional residues within the four known binding sites on the TD. One peptide, Wbox2, encoding residues along the W-box motif binding surface, binds to SNX9 and AP2 and potently and acutely inhibits CME.
IL-33 promotes anemia during chronic inflammation by inhibiting differentiation of erythroid progenitors
Authors: Swann James W. , Koneva Lada A. , Regan-Komito Daniel , Sansom Stephen N. , Powrie Fiona , Griseri Thibault
Published: June 2020

An important comorbidity of chronic inflammation is anemia, which may be related to dysregulated activity of hematopoietic stem and progenitor cells (HSPCs) in the bone marrow (BM). Among HSPCs, we found that the receptor for IL-33, ST2, is expressed preferentially and highly on erythroid progenitors. Induction of inflammatory spondyloarthritis in mice increased IL-33 in BM plasma, and IL-33 was required for inflammation-dependent suppression of erythropoiesis in BM. Conversely, administration of IL-33 in healthy mice suppressed erythropoiesis, decreased hemoglobin expression, and caused anemia. Using purified erythroid progenitors in vitro, we show that IL-33 directly inhibited terminal maturation. This effect was dependent on NF-κB activation and associated with altered signaling events downstream of the erythropoietin receptor. Accordingly, IL-33 also suppressed erythropoietin-accelerated erythropoiesis in vivo. These results reveal a role for IL-33 in pathogenesis of anemia during inflammatory disease and define a new target for its treatment.
Numerical analysis of air pollutant dispersion in steam power plant area using the finite volume method
Authors: Fatahillah A , Masyhudi M A , Setiawan T B
Published: June 2020

In this research a mathematical model will be developed for the distribution of air pollutants. The model is built on the basis of momentum equations and mass continuity equations solved using the finite volume method. Based on the model obtained, the effect of wind speed and initial concentration on the distribution of pollutants in the air will be analyzed. An air pollutant with a certain concentration released through the chimney into the atmosphere will undergo a process of transportation and transformation. The characteristics of emission sources such as concentration when the emission and wind speed around the chimney really determine the spreading of the concentration. The case study in this research is located in the Paiton-Probolinggo Steam Power Plant area. The analysis of the distribution of pollutants was solved numerically using the Gauss Seidel iteration method assisted by MATLAB software and simulated using a CFD approach assisted by FLUENT software. The results obtained in this research indicated that the greater the wind speed around the chimney, the lower the concentration of SO2 pollutants in the air, while the effect of the initial concentration showed that the greater the initial concentration, the greater the concentration of pollutants scattered in the air.
Modelling mixed geographically weighted poisson regression for tuberculosis disease in Surabaya
Authors: Khaulasari Hani
Published: June 2020

Tuberculosis is one of the deadly infectious diseases caused by mycobacterium tuberculosis. Patients with Tuberculosis will experience pain and organ damage leading to death. Surabaya is one of the cities with the most densely populated settlements and the highest number of Tuberculosis sufferers in East Java. In this study, we want to get the factors of the spread of the number of tuberculosis sufferers in Surabaya using Mixed Geographically Weighted Poisson Regression (MGWPR) method. The advantage of the MGWPR method is to pay attention to the differences in each location where it is estimated to affect the spread of Tuberculosis locally and globally. The results show that the Gaussian kernel fixed weighting MGWPR model forms four groups with different factors. Global factors that influence Tuberculosis sufferers are the number of HIV/AIDS sufferers, the percentage of households applying PHBS, the ratio of health education, The percentage of the population receives Tuberculosis information, the number of medical personnel, the number of the population not completed elementary and The number of population graduated from high school while the influenced locally variables on the spread of Tuberculosis was the percentage of healthy homes. Model MGWPR is better than model GWPR and Regression Poisson, because model MGWPR get AIC value is the smallest and R2 is the biggest.
Forecasting amount of passanger of ships in Madura strait port using ARIMA Box-Jenkins method
Authors: Prastuti M , Ulama B S S , Nurindraprasta P P
Published: June 2020

Madura Island and the city of Surabaya, used to be only connected by Ujung-Kamal Port. Later in 2009, Suramadu Bridge began operating. Some people would rather drive over the Suramadu bridge than using the ships so that the amount of ships passanger decreases. This has made PT. ASDP Indonesia Ferry, as the port manager, lose some of the port’s revenue that leads into loss. Along with the free access to pass the Suramadu bridge, it is feared that the amount of ships passanger will continue to decrease. Therefore PT. ASDP Indonesia Ferry requires effort to prevent the greater loss. One of the efforts is to reschedule the ship trips. The ship trips can be affected by the amount of ships passanger. Therefore this research aims to forecast the amount of ships passanger, includes pedestrian, motorbike rider, and car rider. The forecasting is done by the ARIMA Box-Jenkins method. The result shows that ARIMA ([1,12,13], 1,0), ARIMA (0,1,[1,11,12]), and ARIMA (0,1,1) are the best model to forecast the amount of padestrian, motorbike rider, and car rider. The forecast results show that the amount of padestrian passenger is continue to decrease, while the amount of motorbike and car rider are constant.
Modeling of toddler stunting in the province of east nusa tenggara using multivariate adaptive regression splines (mars) method
Authors: Azizah D M , Permatasari E O
Published: June 2020

Stunting is a condition of failure to thrive in children under five (babies under five years old) as a result of chronic malnutrition so that the child is too short for his age. Malnutrition occurs since the baby is in the womb and in the early period after the baby is born. However, the condition of stunting only appears after the baby is 2 years old. Based on Basic Health Research in 2017 the province with the highest prevalence of short and very short toddlers in Indonesia is East Nusa Tenggara which is equal to 40.3 percent. This shows that the prevalence of stunting toddlers in NTT Province is still far from the overall prevalence of stunting toddlers in Indonesia. Cases of toddler stunting can be analyzed using the Multivariate Adaptive Regression Splines (MARS) method because the data used are high-dimensional data and do not show clear patterns of relationships between response variables and predictor variables. The data used is the percentage of stunting toddlers in NTT in 2017 with the district / city research unit. Based on the analysis, it was found that the district in NTT with the highest percentage of stunting children was South East Timor and the district with the lowest percentage was East Manggarai. The best MARS model is formed from 3 basis functions with 2 predictor variables included in the model, namely the percentage of pregnant women at risk of chronic lack of energy (X1) and the percentage of infants with low birth weight (X6). And after the classification results obtained the accuracy of the classification of 77.27% with an error of 22.72%.
The mathematical model of Eunice Siciliensis lifecycle: a study on Lombok Baunyale Festival Preserving Effort
Authors: Ratianingsih R. , Puspita J.W. , Farida  , Jaya A.I.
Published: June 2020

Baunyale Festival or sea worms (nyales) catching event is one of the traditions or heritage culture of the Lombok Sasak tribe community. The appearance of the colorful nyales on the sea surface in large quantities is actually a mass spawning of nyales. The most number of appearing nyales founded during the Baunyale festival is Eunice (palola) siciliensis. It was reported an excessive catching of nyales happened at the event in 2016 that endanger its existence. This paper is a scientific study of the dynamics of Eunice (palola) siciliensis growth represented in an ordinary differential equations system with a harvesting function. The system has an existing critical point that determined by the parameter that represents the number of population to be maintained (M). The stability of the system is evaluated locally at the critical point using the linearization method. The critical point is stable for a specific condition of M and σ, where the second parameter represent the predation rate of phytoplankton as the prey of nyales. The simulation shows that the population of the solution converges to the some amount of nyales populations. It means that the proportional type of harvesting function prevents the number of existing nyales for the festival.
A Generalized Space-Time Autoregressive Moving Average (GSTARMA) Model for Forecasting Air Pollutant in Surabaya
Authors: Akbar M S , Setiawan  , Suhartono  , Ruchjana B N , Prastyo D D , Muhaimin A , Setyowati E
Published: June 2020

The GSTAR model is a multivariate time series model that has time and location dependencies. The implementation of the GSTAR model was developed using the GSTARMA model by referring to the Autoregressive Moving Average (ARMA) model. This research provides the early warning stage of air pollution in Surabaya by forecasting the content of pollutant, especially the CO (Carbon monoxide). The data used in this research are CO data are taken from three monitoring stations in Surabaya with a period from January, 1st to December 31st, 2018. There are two stages in this research, the first stage is time series regression with a dummy variable from the data pattern, and the second step is modeling residual time series regression with GSTAR and GSTARMA. This research is using two weights, uniform and inverse weight the distances, with two-parameter estimates, namely OLS and SUR. The results given the RMSE values tend to be small by using GSTARMAX(21,[7]1:) model with an inverse weight the distance and OLS parameter estimation for SUF 1, GSTAR(21) model with an inverse weight the distance using SUR parameter estimation on SUF 6, and GSTARMA(21,[7]1) model using an inverse weight the distance and SUR parameter estimation on SUF 7. Based on the results of this research, the GSTARMA model can correct prediction errors from the GSTAR model on CO data.
Rainfall forecasting with climate change detection and its pattern relationship to rice production
Authors: Putri Endah R.M. , Riska Astari I Gusti Ayu , Wahyuningsih Nuri
Published: June 2020

Rainfall as one of main factor of climate change, has a significant effect to agriculture. Prediction modelling of rainfall intensity is used to identify and to provide rainfall future description as a reference of agriculture planning regarding to food security. This study aims to provide the modelling of rainfall intensity using Seasonal Autoregressive Integrated Moving Average. Climate change in the rainfall intensity is detected using the existence of heavy-tail phenomena and therefore a Generalized Pareto Distribution is used to model it. To know the relationship between the rainfall intensity and its impact to rice production, Copula method is used as the extension. The study found: SARIMA ([1; 2; 6]; 1; 0)(0; 1; 1)12 is the best model of the rainfall forecasting, climate change indication is detected but it occurs not significantly in area of Tabanan, Bali, and the relationship of the rainfall and the rice production indicates that a decreasing of rainfall intensity will lead to a decreasing rice production.
Kernel perceptron algorithm for sinusitis classification
Authors: Rustam Z , Hartini S , Pandelaki J
Published: June 2020

Sinusitis is one of the most commonly diagnosed diseases in the world. Its diagnosis is usually based on clinical signs and symptoms, which led to the development and use of many machine learning methods to provide a better diagnosis. This research, therefore, proposed a kernel perceptron method applied to the sinusitis dataset, consisting of 102 acute and 98 chronic samples, obtained from Cipto Mangunkusumo Hospital in Indonesia. This research utilized the RBF and polynomial kernel function for several k values in k-fold cross-validation and compared the results in accuracy, sensitivity, precision, specificity, and Fl-Score. From the experiments, it was concluded that the kernel parameter σ = 0.0001 obtained excellent performance in every k-fold, with a better performance achieved using 10-fold cross-validation. Meanwhile, the polynomial degree did not affect the kernel perceptron performance. However, the use of 7-fold cross-validation can be considered to obtain better performance of kernel perceptron based on polynomial kernel.
Breast cancer clustering using modified spherical K-Means
Authors: Rustam Zuherman , Leudityara Fijri Ajeng
Published: June 2020

Clustering is one of common techniques to group dataset into subsets based on distance measure. It has been applied in machine learning, pattern recognition, data mining, image analysis, and bioinformatics. Spherical k-means is one of clustering methods to address computational efficiency and solution quality in terms of deciding an action. In this paper, we used modified spherical k-means by using kernel radial basis function (RBF) by inner product measures in spherical k-means to cluster breast cancer Coimbra dataset from UCI machine learning into clusters. A new clusters will defined to healthy control cluster and patient cluster based on medical records. The highest accuracy results of kernel spherical k-means (SPKM) clustering method with radial basis function (RBF) kernel in breast cancer Coimbra (BCC) dataset is 72,41%. Addition of kernel to spherical k-means makes the results of accuracy be stable than using spherical k-means.
Acute sinusitis classification using support and fuzzy support vector machines
Authors: Rustam Z , Angie N , Pandelaki J , Yunus R E
Published: June 2020

The medical sector is currently in need of a method to aid in the classification of diseases, which contemporarily progresses into varying types. Therefore, the role of technology is highly relevant in the process of overcoming this challenge. This report discusses acute sinusitis, which is one of the most common forms of sinusitis, possibly caused by viruses, bacteria, fungi, pollutants, allergies, and also autoimmune reactions. Furthermore, the Support Vector Machines (SVM) and Fuzzy Support Vector Machines (FSVM) are used as a classification method to diagnose a person of acute sinusitis, therefore, this research aims to compare how both work, using Radial Basis Function (RBF) and Polynomial Kernel. Data of CT scan from Cipto Mangunkusumo Hospital, Indonesia was used to evaluate acute sinusitis, in terms of Accuracy, Sensitivity, Precision, and F1-Score. Thus, the final results indicate a better performance for FSVM than SVM in all perspectives, especially using the RBF kernel.
Analyzing cerebral infarction using support vector machine with artificial bee colony and particle swarm optimization feature selection
Authors: Rustam Z , Utami D A , Pandelaki J , Yunus R E
Published: June 2020

Early diagnosis of cerebral infarction is essential since many patients cannot be cured where the diagnosis is made at an advanced stage. In case an infarct occurs, the tissue in the brain die and stop the circulation of blood, which carries oxygen and nutrients to the body. Therefore, this study uses a machine learning Support Vector Machine (SVM) for early detection of the disorder. To produce the best classification accuracy and fast computing time, feature selection is performed on cerebral infarction data, including Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). After classification, infarction data with the best features are classified using SVM. The classification results of ABC-SVM and PSO-SVM methods are compared with the accuracy of 90.36% for ABC-SVM and 86.74% for PSO-SVM. Therefore, the best approach used in classification is the SVM method with ABC feature selection.
Effects of vaccination on dengue transmission dynamics
Authors: Ndii Meksianis Z. , Messakh Jakobis J. , Djahi Bertha S.
Published: June 2020

Around 390 million dengue cases happen annually and two thirds of the world’s population are at risk of attracting dengue. Dengue is caused by four distinct serotypes where infection by one of the serotypes provides lifelong immunity to that serotype but has a higher chance of attracting the more dangerous forms of dengue (Dengue Hemorrhagic Fever(DHF) or Dengue Shock Syndrome (DSS)) in subsequent infections. Therefore, a perfect strategy against all dengue serotypes is required to reduce the number of dengue infections. A dengue vaccine with the efficacy of 54–77% has been approved for use in reducing dengue transmission. The use of this ‘imperfect’ vaccine may increase the possibility of individuals to attract DHF or DSS. Using a deterministic mathematical model, we assess the impact of the use of dengue vaccine. The results showed that vaccinating seronegative individuals may increase the number of secondary infections. On the other hand, the number of secondary infections decrease if we vaccinate seropositive individuals. This indicates that the risk of attracting DHF or DSS increases if we vaccinate seronegative individuals. Our results imply that the vaccination program may be successful when we vaccinate seropositive individuals.
Factors affecting adolescent nutritional status in Banda Aceh, Indonesia
Authors: Kesuma Zurnila Marli , Rusyana Asep , Rahayu Latifah
Published: June 2020

The purpose of this study was to examine factors affecting nutritional status, anemia status, and adolescent blood pressure in Banda Aceh, Indonesia. A cross-sectional study was designed using interviewed questionnaire on nutritional status, knowledge about nutrition, and anemia status. National Health Research Data (Riskesdas) in 2013 shows the prevalence of obesity in adolescents 13-15 years based on Body Mass Index (BMI) was 8.3% and for very fat was reaches 2.5%. Although these prevalences are still lower than the national prevalence, which is 8.2% and 1.7%, there are still many other issues that need serious attention related to nutrition in adolescents. For this reason, we use adolescent BMI to see adolescent nutritional status. Moreover, to find out the factors affecting adolescent nutritional status, multivariate regression analysis is used. Before estimating parameters by multivariate regression, predictor variables were reduced using factor analysis and five new factors were generated from the reduction. The results shows that factors affecting the nutritional status are dietary factors, pocket money and age factors, and knowledge about nutrition. Factors affecting anemia Status are allowance and age, income, and a number of family member. While the factors that affect the blood pressure is allowance and age and the number of family member.
Implementation of Kalman filter algorithm on reduced models using Linear Matrix Inequality method and its application to measurement water level
Authors: Estuningsih Nenik , Fatmawati  , Apriliani Erna
Published: June 2020

This paper presents the model reduction and estimation of the state variables of the water level system using the Linear Matrix Inequality (LMI) method and the Kalman filter algorithm. We assume the system is asymptotic stable, controllable and observable, then we reduce it by LMI method. The reduced system obtained is a system that remains asymptotic stable, controllable, and observable. The reduction error using LMI method is smaller than the reduction error using Balanced Truncated (BT) method and Singular Perturbation Approximation (SPA) method. Next, we implemented the Kalman filter algorithm in the original system and the system was reduced by LMI method.