bluuebunny/crossref_metadata_2025_split huggingface dataset:
Keanekaragaman serangga Ephemeroptera, Plecoptera, dan Trichoptera sebagai bioindikator kualitas perairan di Sungai Jangkok, Nusa Tenggara Barat
Authors: Diantari Ni Putu Reny , Ahyadi Hilman , Rohyani Immy Suci , Suana I Wayan 
Published: May 2018

Keberadaan serangga Ephemeroptera, Plecoptera, dan Trichoptera (EPT) di suatu perairan dapat dijadikan indikator kualitas perairan tersebut. Tujuan penelitian ini adalah untuk 1) mengetahui keanekaragaman serangga EPT di Sungai Jangkok, Lombok, Nusa Tenggara Barat, 2) menentukan kualitas perairan Sungai Jangkok berdasarkan family biotic index (FBI), dan 3) mengetahui pengaruh parameter fisik, kimia, dan biologi lingkungan terhadap keberadaan serangga EPT. Pengambilan sampel serangga dilakukan pada bulan Juli 2016 menggunakan eckman grab dan jaring air secara acak sistematik pada 22 titik yang tersebar di bagian hulu, tengah, dan hilir Sungai Jangkok. Selain itu, dilakukan juga pengukuran data fisik, kimia, dan biologi lingkungan perairan. Kualitas perairan ditentukan dengan nilai FBI, serta analisis korelasi berganda untuk mengetahui hubungan antara faktor fisik dan kimia lingkungan perairan dengan keberadaan serangga EPT. Penelitian menemukan 902 individu serangga EPT yang tergolong dalam 12 famili dan 12 genus. Di bagian hulu ditemukan 788 individu (12 famili dan 12 genus), di bagian tengah 114 individu (10 famili dan 10 genus), sedangkan di bagian hilir tidak ditemukan serangga EPT. Dari tujuh parameter fisik dan kimia perairan yang diuji korelasinya terhadap keberadaan serangga EPT, hanya suhu air yang pengaruhnya signifikan. Perbedaan suhu air di hulu, tengah, dan hilir disebabkan oleh perbedaan tutupan dan heterogenitas vegetasi di pinggir sungai. Nilai FBI pada bagian hulu adalah 3,6 yang menunjukkan bahwa kualitas perairannya sangat baik. Pada bagian tengah, nilai FBI sebesar 4,6 dan masuk kategori baik. Pada bagian hilir hasil perhitungan FBI mendapatkan nilai tidak terhingga sehingga masuk kategori buruk sekali.
Ritme aktivitas penerbangan harian Tetragonula laeviceps (Smith) (Hymenoptera: Apidae) di Bogor
Authors: Yustia Indah Putri Januar , Rauf Aunu , Maryana Nina 
Published: May 2018

<p><em>Tetragonula laeviceps</em> (Smith) is one of the most common species of stingless bees in Indonesia. However, only few publications available on the flight activity rhythms of the species. Research was conducted with the objectives to determine flight activity of <em>T. laeviceps</em> in relation to daily times and various weather elements. Three colonies of <em>T. laeviceps</em> were observed hourly for 5 minutes beginning at 06.00 a.m. until 06.00 p.m. Number of bees entering with pollen or resin, as well as exiting with waste were counted. Flight activity was significantly different (P &lt; 0.001) among times of day. The preferential times (acrophases) of flight activities occurred at afternoon (11 a.m. to 12 a.m.). Number of entrance and exit flights positively correlated (moderate) with temperature and light intensity, while negatively correlated (moderate) with relative humidity. </p>
Multi-dimensional Precision Livestock Farming: a potential toolbox for sustainable rangeland management
Authors: di Virgilio Agustina , Morales Juan M. , Lambertucci Sergio A. , Shepard Emily L.C. , Wilson Rory P. 
Published: May 2018

BackgroundPrecision Livestock Farming (PLF) is a promising approach to minimize the conflicts between socio-economic activities and landscape conservation. However, its application on extensive systems of livestock production can be challenging. The main difficulties arise because animals graze on large natural pastures where they are exposed to competition with wild herbivores for heterogeneous and scarce resources, predation risk, adverse weather, and complex topography. Considering that the 91% of the world’s surface devoted to livestock production is composed of extensive systems (i.e., rangelands), our general aim was to develop a PLF methodology that quantifies: (i) detailed behavioural patterns, (ii) feeding rate, and (iii) costs associated with different behaviours and landscape traits.MethodsFor this, we used Merino sheep in Patagonian rangelands as a case study. We combined data from an animal-attached multi-sensor tag (tri-axial acceleration, tri-axial magnetometry, temperature sensor and Global Positioning System) with landscape layers from a Geographical Information System to acquire data. Then, we used high accuracy decision trees, dead reckoning methods and spatial data processing techniques to show how this combination of tools could be used to assess energy balance, predation risk and competition experienced by livestock through time and space.ResultsThe combination of methods proposed here are a useful tool to assess livestock behaviour and the different factors that influence extensive livestock production, such as topography, environmental temperature, predation risk and competition for heterogeneous resources. We were able to quantify feeding rate continuously through time and space with high accuracy and show how it could be used to estimate animal production and the intensity of grazing on the landscape. We also assessed the effects of resource heterogeneity (inferred through search times), and the potential costs associated with predation risk, competition, thermoregulation and movement on complex topography.DiscussionThe quantification of feeding rate and behavioural costs provided by our approach could be used to estimate energy balance and to predict individual growth, survival and reproduction. Finally, we discussed how the information provided by this combination of methods can be used to develop wildlife-friendly strategies that also maximize animal welfare, quality and environmental sustainability.
Uracil moieties in Plasmodium falciparum genomic DNA
Authors: Molnár Petra , Marton Lívia , Izrael Richard , Pálinkás Hajnalka L. , Vértessy Beáta G. 
Published: May 2018

Plasmodium falciparum parasites undergo multiple genome duplication events during their development. Within the intraerythrocytic stages, parasites encounter an oxidative environment and DNA synthesis necessarily proceeds under these circumstances. In addition to these conditions, the extreme AT bias of the P. falciparum genome poses further constraints for DNA synthesis. Taken together, these circumstances may allow appearance of damaged bases in the PlasmodiumDNA. Here, we focus on uracil that may arise in DNA either via oxidative deamination or thymine‐replacing incorporation. We determine the level of uracil at the ring, trophozoite, and schizont intraerythrocytic stages and evaluate the base‐excision repair potential of P. falciparum to deal with uracil‐DNA repair. We find approximately 7–10 uracil per million bases in the different parasite stages. This level is considerably higher than found in other wild‐type organisms from bacteria to mammalian species. Based on a systematic assessment of P. falciparum genome and transcriptome databases, we conclude that uracil‐DNA repair relies on one single uracil‐DNA glycosylase and proceeds through the long‐patch base‐excision repair route. Although potentially efficient, the repair route still leaves considerable level of uracils in parasite DNA, which may contribute to mutation rates in P. falciparum.
Efficacy of Benzocaine, Eugenol, and Menthol as Anesthetics for Freshwater Angelfish
Authors: Romaneli Rafael de Souza , Boaratti André Zuffo , Rodrigues Andressa Tellechea , Queiroz Daniel Monge de Almeida , Khan Kifayat Ullah , Nascimento Thiago Matias Torres , Fernandes João Batista Kochenborger , Mansano Cleber Fernando Menegasso 
Published: May 2018

Abstract
For the production and commercialization of ornamental fish species, it is indispensable to collect biometric data that facilitate the selection of animals for trade and genetic improvement of the stock. However, during the handling process, fish receive more stress if proper anesthetics are not used. Thus, application of appropriate anesthetics is an important tool for minimizing stress in animals. The objective of this study was to determine the effective concentrations of benzocaine, eugenol, and menthol for achieving anesthesia in Freshwater Angelfish Pterophyllum scalare and to develop induction and recovery response curves for different concentrations of these anesthetics. In total, 75 fish were exposed to five concentrations of the three anesthetics in a completely randomized design: benzocaine at 60, 85, 110, 135, and 160 mg/L; eugenol at 40, 80, 120, 160, and 200 mg/L; and menthol at 50, 75, 150, 200, and 250 mg/L. Each concentration (5 fish/concentration) consisted of five replicates, with each replicate represented by a single fish. The results indicated that the tested substances met the criteria of anesthetic efficiency. The effective concentrations of benzocaine, eugenol, and menthol for the anesthesia of Freshwater Angelfish were identified as 89.25, 90.6, and 92.1 mg/L, respectively.
Bioglass Activated Albumin Hydrogels for Wound Healing
Authors: Zhou Yanling , Gao Long , Peng Jinliang , Xing Min , Han Yan , Wang Xiaoya , Xu Yuhong , Chang Jiang 
Published: May 2018

AbstractIn this study, a novel Bioglass/albumin composite hydrogel with controllable injectability, good adhesiveness, and bioactivity, is developed by utilizing dual‐functional bioactive ions released from Bioglass, which on one side controls the gelling time by creating an alkaline environment to regulate the cross‐linking reaction between human serum albumin and succinimidyl succinate modified poly(ethylene glycol), and on the other side stimulates wound healing. The composite hydrogel exhibits adhesive property that is superior to clinically used fibrin and cyanoacrylate glues. The gelation time of the composite hydrogel could be regulated via changing the amounts of Bioglass which endows the hydrogel with good injectability. The in vivo experiment confirms that this composite hydrogel has good bioactivity to stimulate angiogenesis and enhance chronic wound healing. Moreover, for the first time, the concentrations of the bioactive ions released from the composite hydrogel in situ are quantified during wound healing using a microdialysis technique, and a correlation of the in vitro and in vivo concentration of ions released from the hydrogel is determined, which is extremely important for understanding the bioactivity mechanisms of Bioglass/bioceramic‐based biomaterials and designing biomaterials for tissue regeneration.
Carbon‐Encapsulated WOx Hybrids as Efficient Catalysts for Hydrogen Evolution
Authors: Jing Shengyu , Lu Jiajia , Yu Guangtao , Yin Shibin , Luo Lin , Zhang Zengsong , Ma Yanfeng , Chen Wei , Shen Pei Kang 
Published: May 2018

AbstractDeveloping non‐noble metal catalysts as Pt substitutes, with good activity and stability, remains a great challenge for cost‐effective electrochemical evolution of hydrogen. Herein, carbon‐encapsulated WOx anchored on a carbon support (WOx@C/C) that has remarkable Pt‐like catalytic behavior for the hydrogen evolution reaction (HER) is reported. Theoretical calculations reveal that carbon encapsulation improves the conductivity, acting as an electron acceptor/donor, and also modifies the Gibbs free energy of H* values for different adsorption sites (carbon atoms over the W atom, O atom, WO bond, and hollow sites). Experimental results confirm that WOx@C/C obtained at 900 °C with 40 wt% metal loading has excellent HER activity regarding its Tafel slope and overpotential at 10 and 60 mA cm−2, and also has outstanding stability at −50 mV for 18 h. Overall, the results and facile synthesis method offer an exciting avenue for the design of cost‐effective catalysts for scalable hydrogen generation.
Makroskopische kristalline 2D‐Polymere
Authors: Feng Xinliang , Schlüter A. Dieter 
Published: May 2018

AbstractMonolagen mit interner Periodizität können als 2D‐Polymere oder “molekulare Fischernetze” beschrieben werden. Solche Strukturen sind in der Vergangenheit durch photochemische Reaktionen in Einkristallen hergestellt worden, die aus Monomeren mit spezifisch entworfenen Strukturen bestehen. Einzelne Schichten wurden später durch Exfolierung isoliert. Diese milden Bedingungen ermöglichen zwar exzellente Kontrolle über die gebildete Struktur, allerdings ist die Ausdehnung der erhaltenen 2D‐Polymere durch die Kristallausdehnung limitiert. Dieser Aufsatz befasst sich mit Ansätzen zur Herstellung von 2D‐Polymeren mit makroskopischen lateralen Abmessungen. Solche Abmessungen sind zugänglich, wenn Polymerisationsreaktionen an Grenzflächen zwischen zwei Flüssigkeiten bzw. zwischen einer Flüssigkeit und einem Gas (besonders der Wasser/Luft‐Grenzfläche) durchgeführt werden. Damit lassen sich zwar prinzipiell 2D‐Polymere makroskopischer Größe erzeugen, allerdings eröffnen sich neue analytische Probleme. Einige dieser Herausforderungen werden besprochen und die vielversprechendsten Lösungsansätze hervorgehoben. Anhand dreier repräsentativer Strukturen demonstriert dieser Aufsatz den gegenwärtigen Stand der Technik im noch jungen Feld der 2D‐Polymeranalytik. Zuletzt werden mögliche Anwendungen für neue organische 2D‐Materialien beschrieben, z. B. als Nanomembranen, organische (opto)elektronische Komponenten oder Katalysatoren für die Wasserspaltung.
Reduced‐order Observer for State‐dependent Coefficient Factorized Nonlinear Systems
Authors: Ornelas‐Tellez Fernando , Alanis Alma Y. , Rios Jorge D. , Graff Mario 
Published: May 2018

AbstractThis paper presents a reduced‐order observer for state‐dependent coefficient factorized nonlinear systems. By considering that a partial knowledge of the state vector is available from measurements, estimating the full state vector may be unnecessary, which consequently reduces the order of the observer and thus avoids unnecessary implementation issues. In this manuscript, the asymptotic convergence of the proposed reduced‐order observer is established when an adequate state‐dependent factorization for the nonlinear system is obtained. This paper demonstrates the ease of synthesizing reduced‐order observers for state‐dependent coefficient factorized nonlinear systems. The effectiveness of the proposed observer is illustrated in real‐time for the optimal tracking control of a linear induction motor.
Downregulation of AGR2, p21, and cyclin D and alterations in p53 function were associated with tumor progression and chemotherapy resistance in epithelial ovarian carcinoma
Authors: Alves Mariana Rezende , e Melo Natalia Cruz , Barros‐Filho Mateus Camargo , do Amaral Nayra Soares , Silva Felipe Ilelis de Barros , Baiocchi Neto Glauco , Soares Fernando Augusto , de Brot Andrade Louise , Rocha Rafael Malagoli 
Published: May 2018

AbstractAnterior gradient 2 protein belongs to a family of chaperone‐like proteins, namely protein disulfide isomerase. Generally, AGR2 is highly expressed in mucus‐secreting cells and endocrine organs, and in this study, we aimed to evaluate AGR2 and cell cycle molecules in epithelial ovarian cancer and its implications on prognosis. One hundred seventy‐five patient's samples that were diagnosed with primary epithelial ovarian carcinoma were selected. All the patients were treated with platinum‐taxane standard chemotherapy after surgery and CA125 serum levels were routinely determined. Four‐micrometer‐thick sections were processed by immunohistochemistry using an automated immunostainer, Ventana BenchMark AutoStainer with AGR2, cyclin D1, p21WAF1, and p53. Forty‐nine of 167 cases (29.3%) showed strong to moderate cytoplasmic marking of AGR2, and 118 (70.7%) had weak to negative expression. The absence of the AGR2 protein was observed in high‐grade serous carcinoma (P < .001) and significantly associated with disease‐free survival (DFS; P = .034). The expression of G1‐S phase‐regulatory proteins showed loss of p21 in high‐grade serous carcinoma (P < .001) and was related with poor DFS (P = .003). Strong and diffuse immunoexpression of p53 plus complete absence of p53 staining was interpreted as likely indicating a TP53 gene mutation. This result showed worse DFS alone (P = .012) and combined with low levels of AGR2 (P = .005). The expression profile of AGR2 and cell cycle proteins here presented was showed as good prognosis marker in epithelial ovarian cancer. This finding suggests AGR2 and as putative biomarker of disease progression in chemotherapy‐treated high‐grade serous carcinoma patients.
Array comparative genomic hybridization identifies high level of PI3K/Akt/mTOR pathway alterations in anal cancer recurrences
Authors: Cacheux Wulfran , Tsantoulis Petros , Briaux Adrien , Vacher Sophie , Mariani Pascale , Richard‐Molard Marion , Buecher Bruno , Richon Sophie , Jeannot Emmanuelle , Lazartigues Julien , Rouleau Etienne , Mariani Odette , El Alam Elsy , Cros Jérôme , Roman‐Roman Sergio , Mitry Emmanuel , Girard Elodie , Dangles‐Marie Virginie , Lièvre Astrid , Bièche Ivan 
Published: May 2018

AbstractGenomic alterations of anal squamous cell carcinoma (ASCC) remain poorly understood due to the rarity of this tumor. Array comparative genomic hybridization and targeted gene sequencing were performed in 49 cases of ASCC. The most frequently altered regions (with a frequency greater than 25%) were 10 deleted regions (2q35, 2q36.3, 3p21.2, 4p16.3, 4p31.21, 7q36.1, 8p23.3, 10q23.2, 11q22.3, and 13q14.11) and 8 gained regions (1p36.33, 1q21.1, 3q26.32, 5p15.33, 8q24.3, 9q34.3, 16p13.3, and 19p13.3). The most frequent minimal regions of deletion (55%) encompassed the 11q22.3 region containing ATM, while the most frequent minimal regions of gain (57%) encompassed the 3q26.32 region containing PIK3CA. Recurrent homozygous deletions were observed for 5 loci (ie, TGFR2 in 4 cases), and recurrent focal amplifications were observed for 8 loci (ie, DDR2 and CCND1 in 3 cases, respectively). Several of the focal amplified genes are targets for specific therapies. Integrated analysis showed that the PI3K/Akt/mTOR signaling pathway was the pathway most extensively affected, particularly in recurrences compared to treatment‐naive tumors (64% vs 30%; P = .017). In patients with ASCC recurrences, poor overall survival (OS) was significantly correlated with a large number of altered regions (P = .024). These findings provide insight into the somatic genomic alterations in ASCC and highlight the key role of the druggable PI3K/Akt/mTOR signaling pathway.
LncRNA SNHG16 drives proliferation, migration, and invasion of hemangioma endothelial cell through modulation of miR‐520d‐3p/STAT3 axis
Authors: Zhao Wenke , Fu Hao , Zhang Shasha , Sun Shengkai , Liu Yang 
Published: May 2018

AbstractIt has been verified that long noncoding RNAs (lncRNAs) have great effects on various biological behaviors of human diseases. Although more and more lncRNAs have been studied in human cancers, countless lncRNAs still need to be excavated. This study aims to investigate the impacts of lncRNA SNHG16 on proliferation and metastasis of human hemangioma endothelial cell (HemECs). qRT‐PCR analysis was carried out to explore the expression pattern of SNHG16, miR‐520d‐3p, and STAT3. The effect of SNHG16 on cell proliferation was detected by MTT and colony formation assay. Flow cytometry analysis was performed to test the apoptosis of HemECs cells. Migration and invasion of HemECs cells were determined and examined by transwell assays. Tube formation assay helped to observe the influence of SNHG16 expression on the vasoformation of HemECs cells. The correlations among SNHG16, miR‐520d‐3p, and STAT3 were certified by bioinformatics analysis, pull‐down assay, and dual‐luciferase reporter assay. Finally, rescue assays were conducted to demonstrate the effects of SNHG16‐miR‐520d‐3p‐STAT3 axis on biological behaviors of HemECs cell. SNHG16 was strongly expressed in proliferating phase hemangioma tissues and HemECs cells. Silenced SNHG16 negatively affected proliferation, migration, and invasion of HemECs cell. LncRNA SNHG16 acted as a ceRNA to upregulate STAT3 through binding with miR‐520d‐3p in HemECs cell. LncRNA SNHG16 acted as a ceRNA to drive proliferation, vasoformation, migration, and invasion of HemECs cells through modulating miR‐520d‐3p/STAT3 axis.
Modelling asphaltene precipitation titration data: A committee of machines and a group method of data handling
Authors: Hemmati‐Sarapardeh Abdolhossein , Dabir Bahram , Ahmadi Mohammad , Mohammadi Amir H. , Husein Maen M. 
Published: May 2018

AbstractAsphaltene precipitation causes different problems in the oil industry. In this study, a large data bank was used to model asphaltene precipitation titration data as a function of temperature, type of solvent, and solvent to crude oil dilution ratio. Three multilayer perceptron (MLP) neural networks and three radial basis function (RBF) neural networks were developed to estimate asphaltene precipitation data. The MLP models were optimized with scaled conjugate gradient (SCG), Levenberg‐Marquardt (LM), and Bayesian regularization (BR) algorithms and the RBF models were optimized with the particle swarm optimization (PSO) algorithm, imperialist competitive algorithm (ICA), and genetic algorithm (GA). All of the proposed models show an acceptable degree of accuracy and have an average absolute percent relative error (AAPRE) less than 4 %. Afterwards, three of the best models including MLP‐LM, MLP‐BR, and RBF‐GA were combined and a committee machine intelligent system (CMIS) was designed, which offers a higher accuracy compared to the other intelligent models. Aside from these intelligent models, the group method of data handling (GMDH) was used to develop an explicit and simple expression for estimating asphaltene precipitation. The proposed CMIS and GMDH models were compared to models developed based on scaling theory and the results show that the proposed models in this study outperform pre‐existing models. The validity and accuracy of the CMIS and GMDH models were proven by statistical and graphical techniques. Finally, a sensitivity analysis suggested that the solvent to crude oil dilution ratio has the largest effect on asphaltene precipitation.
Effect of human head morphological variability on the mechanical response of blast overpressure loading
Authors: Teferra Kirubel , Tan X. Gary , Iliopoulos Athanasios , Michopoulos John , Qidwai Siddiq 
Published: May 2018

AbstractA methodology is introduced to investigate the effect of intersubject head morphological variability on the mechanical response of the brain when subjected to blast overpressure loading. Nonrigid image registration techniques are leveraged to warp a manually segmented template model to an arbitrary number of subjects following a procedure to coarsely segment the subjects in batch. Finite element meshes are autogenerated, and blast analysis is conducted. The template model is initially constructed to enable the full automated implementation and application of the proposed methodology. The application of the proposed approach for an anterior‐oriented blast has been demonstrated, and the results reveal that the pressure response in the brain does exhibit some dependence on head morphological variability. While the magnitude of the peak pressure response can vary by more than 30%, its location within the brain is unaffected by head morphological variability. A linear least squares analysis was conducted to demonstrate that the peak magnitude of pressure is uncorrelated with head volume while it is correlated with aspect ratio relating to the amount of exposed surface area to the blast. These features of the pressure response are likely due to the peak pressure occurring during the early stages of stress wave transmission and reflection. As a result, the pressure response due to blast overpressure loading is predominantly loading dependent while morphological variability has a secondary effect.